Add mount script

.gitignore

@@ -68,3 +68,9 @@ inventory-server/scripts/.fuse_hidden00000fa20000000a
 .VSCodeCounter/
 .VSCodeCounter/*
 .VSCodeCounter/**/*
+
+*/chat/db-convert/db/*
+*/chat/db-convert/mongo_converter_env/*
+
+# Ignore compiled Vite config to avoid duplication
+vite.config.js

docs/PERMISSIONS.md

@@ -7,12 +7,13 @@ This document outlines the permission system implemented in the Inventory Manage
 Permissions follow this naming convention:
 
 - Page access: `access:{page_name}`
-- Actions: `{action}:{resource}`
+- Settings sections: `settings:{section_name}`
+- Admin features: `admin:{feature}`
 
 Examples:
 - `access:products` - Can access the Products page
-- `create:products` - Can create new products
-- `edit:users` - Can edit user accounts
+- `settings:user_management` - Can access User Management settings
+- `admin:debug` - Can see debug information
 
 ## Permission Components
 
@@ -22,10 +23,10 @@ The core component that conditionally renders content based on permissions.
 
 ```tsx
 <PermissionGuard 
-  permission="create:products"
+  permission="settings:user_management"
   fallback={<p>No permission</p>}
 >
-  <button>Create Product</button>
+  <button>Manage Users</button>
 </PermissionGuard>
 ```
 
@@ -81,7 +82,7 @@ Specific component for settings with built-in permission checks.
 <SettingsSection
   title="System Settings"
   description="Configure global settings"
-  permission="edit:system_settings"
+  permission="settings:global"
 >
   {/* Settings content */}
 </SettingsSection>
@@ -95,8 +96,8 @@ Core hook for checking any permission.
 
 ```tsx
 const { hasPermission, hasPageAccess, isAdmin } = usePermissions();
-if (hasPermission('delete:products')) {
-  // Can delete products
+if (hasPermission('settings:user_management')) {
+  // Can access user management
 }
 ```
 
@@ -106,8 +107,8 @@ Specialized hook for page-level permissions.
 
 ```tsx
 const { canView, canCreate, canEdit, canDelete } = usePagePermission('products');
-if (canEdit()) {
-  // Can edit products
+if (canView()) {
+  // Can view products
 }
 ```
 
@@ -119,18 +120,43 @@ Permissions are stored in the database:
 
 Admin users automatically have all permissions.
 
-## Common Permission Codes
+## Implemented Permission Codes
 
+### Page Access Permissions
 | Code | Description |
 |------|-------------|
 | `access:dashboard` | Access to Dashboard page |
+| `access:overview` | Access to Overview page |
 | `access:products` | Access to Products page |
-| `create:products` | Create new products |
-| `edit:products` | Edit existing products |
-| `delete:products` | Delete products |
-| `view:users` | View user accounts |
-| `edit:users` | Edit user accounts |
-| `manage:permissions` | Assign permissions to users |
+| `access:categories` | Access to Categories page |
+| `access:brands` | Access to Brands page |
+| `access:vendors` | Access to Vendors page |
+| `access:purchase_orders` | Access to Purchase Orders page |
+| `access:analytics` | Access to Analytics page |
+| `access:forecasting` | Access to Forecasting page |
+| `access:import` | Access to Import page |
+| `access:settings` | Access to Settings page |
+| `access:chat` | Access to Chat Archive page |
+
+### Settings Permissions
+| Code | Description |
+|------|-------------|
+| `settings:global` | Access to Global Settings section |
+| `settings:products` | Access to Product Settings section |
+| `settings:vendors` | Access to Vendor Settings section |
+| `settings:data_management` | Access to Data Management settings |
+| `settings:calculation_settings` | Access to Calculation Settings |
+| `settings:library_management` | Access to Image Library Management |
+| `settings:performance_metrics` | Access to Performance Metrics |
+| `settings:prompt_management` | Access to AI Prompt Management |
+| `settings:stock_management` | Access to Stock Management |
+| `settings:templates` | Access to Template Management |
+| `settings:user_management` | Access to User Management |
+
+### Admin Permissions
+| Code | Description |
+|------|-------------|
+| `admin:debug` | Can see debug information and features |
 
 ## Implementation Examples
 
@@ -148,25 +174,31 @@ In `App.tsx`:
 ### Component Level Protection
 
 ```tsx
-const { canEdit } = usePagePermission('products');
+const { hasPermission } = usePermissions();
 
-function handleEdit() {
-  if (!canEdit()) {
+function handleAction() {
+  if (!hasPermission('settings:user_management')) {
     toast.error("You don't have permission");
     return;
   }
-  // Edit logic
+  // Action logic
 }
 ```
 
 ### UI Element Protection
 
 ```tsx
-<PermissionButton 
-  page="products" 
-  action="delete"
-  onClick={handleDelete}
->
-  Delete
-</PermissionButton>
+<PermissionGuard permission="settings:user_management">
+  <button onClick={handleManageUsers}>
+    Manage Users
+  </button>
+</PermissionGuard>
 ```
+
+## Notes
+
+- **Page Access**: These permissions control which pages a user can navigate to
+- **Settings Access**: These permissions control access to different sections within the Settings page
+- **Admin Features**: Special permissions for administrative functions
+- **CRUD Operations**: The application currently focuses on viewing and managing data rather than creating/editing/deleting individual records
+- **User Management**: User CRUD operations are handled through the settings interface rather than dedicated user management pages 

docs/routes-cleanup.md

@@ -0,0 +1,271 @@
+**Analysis of Potential Issues**
+
+1.  **Obsolete Functionality:**
+    *   **`config.js` Legacy Endpoints:** The endpoints `GET /config/`, `PUT /config/stock-thresholds/:id`, `PUT /config/lead-time-thresholds/:id`, `PUT /config/sales-velocity/:id`, `PUT /config/abc-classification/:id`, `PUT /config/safety-stock/:id`, and `PUT /config/turnover/:id` appear **highly likely to be obsolete**. They reference older, single-row config tables (`stock_thresholds`, etc.) while newer endpoints (`/config/global`, `/config/products`, `/config/vendors`) manage settings in more structured tables (`settings_global`, `settings_product`, `settings_vendor`). Unless specifically required for backward compatibility, these legacy endpoints should be removed to avoid confusion and potential data conflicts.
+    *   **`analytics.js` Forecast Endpoint (`GET /analytics/forecast`):** This endpoint uses **MySQL syntax** (`DATEDIFF`, `DATE_FORMAT`, `JSON_OBJECT`, `?` placeholders) but seems intended to run within the analytics module which otherwise uses PostgreSQL (`req.app.locals.pool`, `date_trunc`, `::text`, `$1` placeholders). This endpoint is likely **obsolete or misplaced** and will not function correctly against the PostgreSQL database.
+    *   **`csv.js` Redundant Actions:**
+        *   `POST /csv/update` seems redundant with `POST /csv/full-update`. The latter uses the `runScript` helper and dedicated state (`activeFullUpdate`), appearing more robust. `/csv/update` might be older or incomplete.
+        *   `POST /csv/reset` seems redundant with `POST /csv/full-reset`. Similar reasoning applies; `/csv/full-reset` appears preferred.
+    *   **`products.js` Import Endpoint (`POST /products/import`):** This is **dangerous duplication**. The `/csv` module handles imports (`/csv/import`, `/csv/import-from-prod`) with locking (`activeImport`) to prevent concurrent operations. This endpoint lacks such locking and could corrupt data if run simultaneously with other CSV/reset operations. It should likely be removed.
+    *   **`products.js` Metrics Endpoint (`GET /products/:id/metrics`):** This is redundant. The `/metrics/:pid` endpoint provides the same, possibly more comprehensive, data directly from the `product_metrics` table. Clients should use `/metrics/:pid` instead.
+
+2.  **Overlap or Inappropriate Duplication of Effort:**
+    *   **AI Prompt Getters:** `GET /ai-prompts/type/general` and `GET /ai-prompts/type/system` could potentially be handled by adding a query parameter filter to `GET /ai-prompts/` (e.g., `GET /ai-prompts?prompt_type=general`). However, dedicated endpoints for single, specific items can sometimes be simpler. This is more of a design choice than a major issue.
+    *   **Vendor Performance/Metrics:** There are multiple ways to get vendor performance data:
+        *   `GET /analytics/vendors` (uses `vendor_metrics`)
+        *   `GET /dashboard/vendor/performance` (uses `purchase_orders`)
+        *   `GET /purchase-orders/vendor-metrics` (uses `purchase_orders`)
+        *   `GET /vendors-aggregate/` (uses `vendor_metrics`, augmented with `purchase_orders`)
+        This suggests significant overlap. The `/vendors-aggregate` endpoint seems the most comprehensive, combining pre-aggregated data with some real-time info. The others, especially `/dashboard/vendor/performance` and `/purchase-orders/vendor-metrics` which calculate directly from `purchase_orders`, might be redundant or less performant.
+    *   **Product Listing:**
+        *   `GET /products/` lists products joining `products`, `product_metrics`, and `categories`.
+        *   `GET /metrics/` lists products primarily from `product_metrics`.
+        They offer similar filtering/sorting. If `product_metrics` contains all necessary display fields, `GET /products/` might be partly redundant for simple listing views, although it does provide aggregated category names. Evaluate if both full list endpoints are necessary.
+    *   **Image Uploads/Management:** Image handling is split:
+        *   `products-import.js`: Uploads temporary images for product import to `/uploads/products/`, schedules deletion.
+        *   `reusable-images.js`: Uploads persistent images to `/uploads/reusable/`, stores metadata in DB.
+        *   `products-import.js` has `/check-file` and `/list-uploads` that can see *both* directories, while `reusable-images.js` has a `/check-file` that only sees its own. This separation could be confusing. Clarify the purpose and lifecycle of images in each directory.
+    *   **Background Task Management (`csv.js`):** The use of `activeImport` for multiple unrelated tasks (import, reset, metrics calc) prevents concurrency, which might be too restrictive. The cancellation logic (`/cancel`) only targets `full-update`/`full-reset`, not tasks locked by `activeImport`. This needs unification.
+    *   **Analytics/Dashboard Base Table Queries:** Several endpoints in `analytics.js` (`/pricing`, `/categories`) and `dashboard.js` (`/best-sellers`, `/sales/metrics`, `/trending/products`, `/key-metrics`, `/inventory-health`, `/sales-overview`) query base tables (`orders`, `products`, `purchase_orders`) directly, while many others leverage pre-aggregated `_metrics` tables. This inconsistency can lead to performance differences and suggests potential for optimization by using aggregates where possible.
+
+3.  **Obvious Mistakes / Data Issues:**
+    *   **AI Prompt Fetching:** `GET /ai-prompts/company/:companyId`, `/type/general`, `/type/system` return `result.rows[0]`. This assumes uniqueness. If the underlying DB constraints (`unique_company_prompt`, etc.) fail or aren't present, this could silently hide data if multiple rows match. The use of unique constraint handling in POST/PUT suggests this is likely intended and safe *if* DB constraints are solid.
+    *   **Mixed Databases & SSH Tunnels:** The heavy reliance in `ai_validation.js` and `products-import.js` on connecting to a production MySQL DB via SSH tunnel while also using a local PostgreSQL DB adds significant architectural complexity.
+        *   **Inefficiency:** In `ai_validation.js` (`generateDebugResponse`), an SSH tunnel and MySQL connection (`promptTunnel`, `promptConnection`) are established but seem unused when fetching prompts (which correctly come from the PG pool `res.app.locals.pool`). This is wasted effort.
+        *   **Improvement:** The `getDbConnection` function in `products-import.js` implements caching/pooling for the SSH/MySQL connection – this is much better and should ideally be used consistently wherever the production DB is accessed (e.g., in `ai_validation.js`).
+    *   **`products.js` Brand Filtering:** `GET /products/brands` filters brands based on having associated purchase orders with a cost >= 500. This seems arbitrary for a general list of brands and might return incomplete results depending on the use case.
+    *   **Type Handling:** Ensure `parseValue` handles all required types and edge cases correctly, especially for filtering complex queries in `*-aggregate` and `metrics` routes. Explicit type casting in SQL (`::numeric`, `::text`, etc.) is generally good practice in PostgreSQL.
+    *   **Dummy Data:** Several `dashboard.js` endpoints return hardcoded dummy data on errors or when no data is found. While this prevents UI crashes, it can mask real issues. Ensure logging is robust when fallbacks are used.
+
+**Summary of Endpoints**
+
+Here's a summary of the available endpoints, grouped by their likely file/module:
+
+**1. AI Prompts (`ai_prompts.js`)**
+    *   `GET /`: Get all AI prompts.
+    *   `GET /:id`: Get a specific AI prompt by its ID.
+    *   `GET /company/:companyId`: Get the AI prompt for a specific company (expects one). **(Deprecated)**
+    *   `GET /type/general`: Get the general AI prompt (expects one). **(Deprecated)**
+    *   `GET /type/system`: Get the system AI prompt (expects one). **(Deprecated)**
+    *   `GET /by-type`: Get AI prompt by type (general, system, company_specific) with optional company parameter. **(New Consolidated Endpoint)**
+    *   `POST /`: Create a new AI prompt.
+    *   `PUT /:id`: Update an existing AI prompt.
+    *   `DELETE /:id`: Delete an AI prompt.
+
+**2. AI Validation (`ai_validation.js`)**
+    *   `POST /debug`: Generate and view the structure of prompts and taxonomy data (for debugging, doesn't call OpenAI). Connects to Prod MySQL (taxonomy) and Local PG (prompts, performance).
+    *   `POST /validate`: Validate product data using OpenAI. Connects to Prod MySQL (taxonomy) and Local PG (prompts, performance).
+    *   `GET /test-taxonomy`: Test endpoint to query sample taxonomy data from Prod MySQL.
+
+**3. Analytics (`analytics.js`)**
+    *   `GET /stats`: Get overall business statistics from metrics tables.
+    *   `GET /profit`: Get profit analysis data (by category, over time, top products) from metrics tables.
+    *   `GET /vendors`: Get vendor performance analysis from `vendor_metrics`.
+    *   `GET /stock`: Get stock analysis data (turnover, levels, critical items) from metrics tables.
+    *   `GET /pricing`: Get pricing analysis (price points, elasticity, recommendations) - **uses `orders` table**.
+    *   `GET /categories`: Get category performance analysis (revenue, profit, growth, distribution, trends) - **uses `orders` and `products` tables**.
+    *   `GET /forecast`: (**Likely Obsolete/Broken**) Attempts to get forecast data using MySQL syntax.
+
+**4. Brands Aggregate (`brands-aggregate.js`)**
+    *   `GET /filter-options`: Get distinct brand names and statuses for UI filters (from `brand_metrics`).
+    *   `GET /stats`: Get overall statistics related to brands (from `brand_metrics`).
+    *   `GET /`: List brands with aggregated metrics, supporting filtering, sorting, pagination (from `brand_metrics`).
+
+**5. Categories Aggregate (`categories-aggregate.js`)**
+    *   `GET /filter-options`: Get distinct category types, statuses, and counts for UI filters (from `category_metrics` & `categories`).
+    *   `GET /stats`: Get overall statistics related to categories (from `category_metrics` & `categories`).
+    *   `GET /`: List categories with aggregated metrics, supporting filtering, sorting (incl. hierarchy), pagination (from `category_metrics` & `categories`).
+
+**6. Configuration (`config.js`)**
+    *   **(New)** `GET /global`: Get all global settings.
+    *   **(New)** `PUT /global`: Update global settings.
+    *   **(New)** `GET /products`: List product-specific settings with pagination/search.
+    *   **(New)** `PUT /products/:pid`: Update/Create product-specific settings.
+    *   **(New)** `POST /products/:pid/reset`: Reset product settings to defaults.
+    *   **(New)** `GET /vendors`: List vendor-specific settings with pagination/search.
+    *   **(New)** `PUT /vendors/:vendor`: Update/Create vendor-specific settings.
+    *   **(New)** `POST /vendors/:vendor/reset`: Reset vendor settings to defaults.
+    *   **(Legacy/Obsolete)** `GET /`: Get all config from old single-row tables.
+    *   **(Legacy/Obsolete)** `PUT /stock-thresholds/:id`: Update old stock thresholds.
+    *   **(Legacy/Obsolete)** `PUT /lead-time-thresholds/:id`: Update old lead time thresholds.
+    *   **(Legacy/Obsolete)** `PUT /sales-velocity/:id`: Update old sales velocity config.
+    *   **(Legacy/Obsolete)** `PUT /abc-classification/:id`: Update old ABC config.
+    *   **(Legacy/Obsolete)** `PUT /safety-stock/:id`: Update old safety stock config.
+    *   **(Legacy/Obsolete)** `PUT /turnover/:id`: Update old turnover config.
+
+**7. CSV Operations & Background Tasks (`csv.js`)**
+    *   `GET /:type/progress`: SSE endpoint for full update/reset progress.
+    *   `GET /test`: Simple test endpoint.
+    *   `GET /status`: Check status of the generic background task lock (`activeImport`).
+    *   `GET /calculate-metrics/status`: Check status of metrics calculation.
+    *   `GET /history/import`: Get recent import history.
+    *   `GET /history/calculate`: Get recent metrics calculation history.
+    *   `GET /status/modules`: Get last calculation time per module.
+    *   `GET /status/tables`: Get last sync time per table.
+    *   `GET /status/table-counts`: Get record counts for key tables.
+    *   `POST /update`: (**Potentially Obsolete**) Trigger `update-csv.js` script.
+    *   `POST /import`: Trigger `import-csv.js` script.
+    *   `POST /cancel`: Cancel `/full-update` or `/full-reset` task.
+    *   `POST /reset`: (**Potentially Obsolete**) Trigger `reset-db.js` script.
+    *   `POST /reset-metrics`: Trigger `reset-metrics.js` script.
+    *   `POST /calculate-metrics`: Trigger `calculate-metrics.js` script.
+    *   `POST /import-from-prod`: Trigger `import-from-prod.js` script.
+    *   `POST /full-update`: Trigger `full-update.js` script (preferred update).
+    *   `POST /full-reset`: Trigger `full-reset.js` script (preferred reset).
+
+**8. Dashboard (`dashboard.js`)**
+    *   `GET /stock/metrics`: Get dashboard stock summary metrics & brand breakdown.
+    *   `GET /purchase/metrics`: Get dashboard purchase order summary metrics & vendor breakdown.
+    *   `GET /replenishment/metrics`: Get dashboard replenishment summary & top variants.
+    *   `GET /forecast/metrics`: Get dashboard forecast summary, daily, and category breakdown.
+    *   `GET /overstock/metrics`: Get dashboard overstock summary & category breakdown.
+    *   `GET /overstock/products`: Get list of top overstocked products.
+    *   `GET /best-sellers`: Get dashboard best-selling products, brands, categories - **uses `orders`, `products`**.
+    *   `GET /sales/metrics`: Get dashboard sales summary for a period - **uses `orders`**.
+    *   `GET /low-stock/products`: Get list of top low stock/critical products.
+    *   `GET /trending/products`: Get list of trending products - **uses `orders`, `products`**.
+    *   `GET /vendor/performance`: Get dashboard vendor performance details - **uses `purchase_orders`**.
+    *   `GET /key-metrics`: Get dashboard summary KPIs - **uses multiple base tables**.
+    *   `GET /inventory-health`: Get dashboard inventory health overview - **uses `products`, `product_metrics`**.
+    *   `GET /replenish/products`: Get list of products needing replenishment (overlaps `/low-stock/products`).
+    *   `GET /sales-overview`: Get daily sales totals for chart - **uses `orders`**.
+
+**9. Product Import Utilities (`products-import.js`)**
+    *   `POST /upload-image`: Upload temporary product image, schedule deletion.
+    *   `DELETE /delete-image`: Delete temporary product image.
+    *   `GET /field-options`: Get dropdown options for product fields from Prod MySQL (cached).
+    *   `GET /product-lines/:companyId`: Get product lines for a company from Prod MySQL (cached).
+    *   `GET /sublines/:lineId`: Get sublines for a line from Prod MySQL (cached).
+    *   `GET /check-file/:filename`: Check existence/permissions of uploaded file (temp or reusable).
+    *   `GET /list-uploads`: List files in upload directories.
+    *   `GET /search-products`: Search products in Prod MySQL DB.
+    *   `GET /check-upc-and-generate-sku`: Check UPC existence and generate SKU suggestion based on Prod MySQL data.
+    *   `GET /product-categories/:pid`: Get assigned categories for a product from Prod MySQL.
+
+**10. Product Metrics (`product-metrics.js`)**
+    *   `GET /filter-options`: Get distinct filter values (vendor, brand, abcClass) from `product_metrics`.
+    *   `GET /`: List detailed product metrics with filtering, sorting, pagination (primary data access).
+    *   `GET /:pid`: Get full metrics record for a single product.
+
+**11. Orders (`orders.js`)**
+    *   `GET /`: List orders with summary info, filtering, sorting, pagination, and stats.
+    *   `GET /:orderNumber`: Get details for a single order, including items.
+
+**12. Products (`products.js`)**
+    *   `GET /brands`: Get distinct brands (filtered by PO value).
+    *   `GET /`: List products with core data + metrics, filtering, sorting, pagination.
+    *   `GET /trending`: Get trending products based on `product_metrics`.
+    *   `GET /:id`: Get details for a single product (core data + metrics).
+    *   `POST /import`: (**Likely Obsolete/Dangerous**) Import products from CSV.
+    *   `PUT /:id`: Update core product data.
+    *   `GET /:id/metrics`: (**Redundant**) Get metrics for a single product.
+    *   `GET /:id/time-series`: Get sales/PO history for a single product.
+
+**13. Purchase Orders (`purchase-orders.js`)**
+    *   `GET /`: List purchase orders with summary info, filtering, sorting, pagination, and summary stats.
+    *   `GET /vendor-metrics`: Calculate vendor performance metrics from `purchase_orders`.
+    *   `GET /cost-analysis`: Calculate cost analysis by category from `purchase_orders`.
+    *   `GET /receiving-status`: Get summary counts based on PO receiving status.
+    *   `GET /order-vs-received`: List product ordered vs. received quantities.
+
+**14. Reusable Images (`reusable-images.js`)**
+    *   `GET /`: List all reusable images.
+    *   `GET /by-company/:companyId`: List global and company-specific images.
+    *   `GET /global`: List only global images.
+    *   `GET /:id`: Get a single reusable image record.
+    *   `POST /upload`: Upload a new reusable image and create DB record.
+    *   `PUT /:id`: Update reusable image metadata (name, global, company).
+    *   `DELETE /:id`: Delete reusable image record and file.
+    *   `GET /check-file/:filename`: Check existence/permissions of a reusable image file.
+
+**15. Templates (`templates.js`)**
+    *   `GET /`: List all product data templates.
+    *   `GET /:company/:productType`: Get a specific template.
+    *   `POST /`: Create a new template.
+    *   `PUT /:id`: Update an existing template.
+    *   `DELETE /:id`: Delete a template.
+
+**16. Vendors Aggregate (`vendors-aggregate.js`)**
+    *   `GET /filter-options`: Get distinct vendor names and statuses for UI filters (from `vendor_metrics`).
+    *   `GET /stats`: Get overall statistics related to vendors (from `vendor_metrics` & `purchase_orders`).
+    *   `GET /`: List vendors with aggregated metrics, supporting filtering, sorting, pagination (from `vendor_metrics` & `purchase_orders`).
+
+**Recommendations:**
+
+1.  **Address Obsolete Endpoints:** Prioritize removing or confirming the necessity of the endpoints marked as obsolete/redundant (legacy config, `/analytics/forecast`, `/csv/update`, `/csv/reset`, `/products/import`, `/products/:id/metrics`).
+2.  **Consolidate Overlapping Functionality:** Review the multiple vendor performance and product listing endpoints. Decide on the primary method (e.g., using aggregate tables via `/vendors-aggregate` and `/metrics`) and refactor or remove the others. Clarify the image upload strategies.
+3.  **Standardize Data Access:** Decide whether `dashboard` and `analytics` endpoints should primarily use aggregate tables (like `/metrics`, `/brands-aggregate`, etc.) or if direct access to base tables is sometimes necessary. Aim for consistency and document the reasoning. Optimize queries hitting base tables if they must remain.
+4.  **Improve Background Task Management:** Refactor `csv.js` to use a unified locking mechanism (maybe separate locks per task type?) and a consistent cancellation strategy for all spawned/managed processes. Clarify the purpose of `update` vs `full-update` and `reset` vs `full-reset`.
+5.  **Optimize DB Connections:** Ensure the `getDbConnection` pooling/caching helper from `products-import.js` is used *consistently* across all modules interacting with the production MySQL database (especially `ai_validation.js`). Remove unnecessary tunnel creations.
+6.  **Review Data Integrity:** Double-check the assumptions made (e.g., uniqueness of AI prompts) and ensure database constraints enforce them. Review the `GET /products/brands` filtering logic.
+
+## Changes Made
+
+1. **Removed Obsolete Legacy Endpoints in `config.js`**:
+   - Removed `GET /config/` endpoint
+   - Removed `PUT /config/stock-thresholds/:id` endpoint
+   - Removed `PUT /config/lead-time-thresholds/:id` endpoint
+   - Removed `PUT /config/sales-velocity/:id` endpoint
+   - Removed `PUT /config/abc-classification/:id` endpoint
+   - Removed `PUT /config/safety-stock/:id` endpoint
+   - Removed `PUT /config/turnover/:id` endpoint
+   
+   These endpoints were obsolete as they referenced older, single-row config tables that have been replaced by newer endpoints using the structured tables `settings_global`, `settings_product`, and `settings_vendor`.
+
+2. **Removed MySQL Syntax `/forecast` Endpoint in `analytics.js`**:
+   - Removed `GET /analytics/forecast` endpoint that was using MySQL-specific syntax incompatible with the PostgreSQL database used elsewhere in the application.
+
+3. **Renamed and Removed Redundant Endpoints**:
+   - Renamed `csv.js` to `data-management.js` while maintaining the same `/csv/*` endpoint paths for consistency
+   - Removed deprecated `/csv/update` endpoint (now fully replaced by `/csv/full-update`)
+   - Removed deprecated `/csv/reset` endpoint (now fully replaced by `/csv/full-reset`)
+   - Removed deprecated `/products/import` endpoint (now handled by `/csv/import`)
+   - Removed deprecated `/products/:id/metrics` endpoint (now handled by `/metrics/:pid`)
+
+4. **Fixed Data Integrity Issues**:
+   - Improved `GET /products/brands` endpoint by removing the arbitrary filtering logic that was only showing brands with purchase orders that had a total cost of at least $500
+   - The updated endpoint now returns all distinct brands from visible products, providing more complete data
+
+5. **Optimized Database Connections**:
+   - Created a new `dbConnection.js` utility file that encapsulates the optimized database connection management logic
+   - Improved the `ai-validation.js` file to use this shared connection management, eliminating unnecessary repeated tunnel creation
+   - Added proper connection pooling with timeout-based connection reuse, reducing the overhead of repeatedly creating SSH tunnels
+   - Added query result caching for frequently accessed data to improve performance
+
+These changes improve maintainability by removing duplicate code, enhance consistency by standardizing on the newer endpoint patterns, and optimize performance by reducing redundant database connections.
+
+## Additional Improvements
+
+1. **Further Database Connection Optimizations**:
+   - Extended the use of the optimized database connection utility to additional endpoints in `ai-validation.js`
+   - Updated the `/validate` endpoint and `/test-taxonomy` endpoint to use `getDbConnection`
+   - Ensured consistent connection management across all routes that access the production database
+
+2. **AI Prompts Data Integrity Verification**:
+   - Confirmed proper uniqueness constraints are in place in the database schema for AI prompts
+   - The schema includes:
+     - `unique_company_prompt` constraint ensuring only one prompt per company
+     - `idx_unique_general_prompt` index ensuring only one general prompt in the system
+     - `idx_unique_system_prompt` index ensuring only one system prompt in the system
+   - Endpoint handlers properly handle uniqueness constraint violations with appropriate 409 Conflict responses
+   - Validation ensures company-specific prompts have company IDs, while general/system prompts do not
+
+3. **AI Prompts Endpoint Consolidation**:
+   - Added a new consolidated `/by-type` endpoint that handles all types of prompts (general, system, company_specific)
+   - Marked the existing separate endpoints as deprecated with console warnings
+   - Maintained backward compatibility while providing a cleaner API moving forward
+
+## Completed Items
+
+✅ Removed obsolete legacy endpoints in `config.js`  
+✅ Removed MySQL syntax `/forecast` endpoint in `analytics.js`  
+✅ Fixed `GET /products/brands` endpoint filtering logic  
+✅ Created reusable database connection utility (`dbConnection.js`)  
+✅ Optimized database connections in `ai-validation.js`  
+✅ Verified data integrity in AI prompts handling  
+✅ Consolidated AI prompts endpoints with a unified `/by-type` endpoint  
+
+## Remaining Items
+
+- Consider adding additional error handling and logging for database connections
+- Perform load testing on the optimized database connections to ensure they handle high traffic properly

docs/setup-chat.md

@@ -0,0 +1,23 @@
+This portion of the application is going to be a read only chat archive. It will pull data from a rocketchat export converted to postgresql. This is a separate database than the rest of the inventory application uses, but it will still use users and permissions from the inventory database. Both databases are on the same postgres instance.
+
+For now, let's add a select to the top of the page that allows me to "view as" any of the users in the rocketchat database. We'll connect this to the authorization in the main application later. 
+
+The db connection info is stored in the .env file in the inventory-server root. It contains these variables
+DB_HOST=localhost
+DB_USER=rocketchat_user
+DB_PASSWORD=password
+DB_NAME=rocketchat_converted
+DB_PORT=5432
+
+Not all of the information in this database is relevant as it's a direct export from another app with more features. You can use the query tool to examine the structure and data available.
+
+Server-side files should use similar conventions and the same technologies as the inventory-server (inventor-server root) and auth-server (inventory-server/auth). I will provide my current pm2 ecosystem file upon request for you to add the configuration for the new "chat-server". I use Caddy on the server and can provide my caddyfile to assist with configuring the api routes. All configuration and routes for the chat-server should go in the inventory-server/chat folder or subfolders you create.
+
+The folder you see as inventory-server is actually a direct mount of the /var/www/html/inventory folder on the server. You can read and write files from there like usual, but any terminal commands for the server I will have to run myself.
+
+The "Chat" page should be added to the main application sidebar and a similar page to the others should be created in inventory/src/pages. All other frontend pages should go in inventory/src/components/chat. 
+
+The application uses shadcn components and those should be used for all ui elements where possible (located in inventory/src/components/ui). The UI should match existing pages and components. 
+
+
+

docs/split-up-pos.md

@@ -0,0 +1,112 @@
+Okay, I understand completely now. The core issue is that the previous approaches tried too hard to reconcile every receipt back to a specific PO line within the `purchase_orders` table structure, which doesn't reflect the reality where receipts can be independent events. Your downstream scripts, especially `daily_snapshots` and `product_metrics`, rely on having a complete picture of *all* receivings.
+
+Let's pivot to a model that respects both distinct data streams: **Orders (Intent)** and **Receivings (Actuals)**.
+
+**Proposed Solution: Separate `purchase_orders` and `receivings` Tables**
+
+This is the cleanest way to model the reality you've described.
+
+1.  **`purchase_orders` Table:**
+    *   **Purpose:** Tracks the status and details of purchase *orders* placed. Represents the *intent* to receive goods.
+    *   **Key Columns:** `po_id`, `pid`, `ordered` (quantity ordered), `po_cost_price`, `date` (order/created date), `expected_date`, `status` (PO lifecycle: 'ordered', 'canceled', 'done'), `vendor`, `notes`, etc.
+    *   **Crucially:** This table *does not* need a `received` column or a `receiving_history` column derived from complex allocations. It focuses solely on the PO itself.
+
+2.  **`receivings` Table (New or Refined):**
+    *   **Purpose:** Tracks every single line item received, regardless of whether it was linked to a PO during the receiving process. Represents the *actual* goods that arrived.
+    *   **Key Columns:**
+        *   `receiving_id` (Identifier for the overall receiving document/batch)
+        *   `pid` (Product ID received)
+        *   `received_qty` (Quantity received for this specific line)
+        *   `cost_each` (Actual cost paid for this item on this receiving)
+        *   `received_date` (Actual date the item was received)
+        *   `received_by` (Employee ID/Name)
+        *   `source_po_id` (The `po_id` entered on the receiving screen, *nullable*. Stores the original link attempt, even if it was wrong or missing)
+        *   `source_receiving_status` (The status from the source `receivings` table: 'partial_received', 'full_received', 'paid', 'canceled')
+
+**How the Import Script Changes:**
+
+1.  **Fetch POs:** Fetch data from `po` and `po_products`.
+2.  **Populate `purchase_orders`:**
+    *   Insert/Update rows into `purchase_orders` based directly on the fetched PO data.
+    *   Set `po_id`, `pid`, `ordered`, `po_cost_price`, `date` (`COALESCE(date_ordered, date_created)`), `expected_date`.
+    *   Set `status` by mapping the source `po.status` code directly ('ordered', 'canceled', 'done', etc.).
+    *   **No complex allocation needed here.**
+3.  **Fetch Receivings:** Fetch data from `receivings` and `receivings_products`.
+4.  **Populate `receivings`:**
+    *   For *every* line item fetched from `receivings_products`:
+        *   Perform necessary data validation (dates, numbers).
+        *   Insert a new row into `receivings` with all the relevant details (`receiving_id`, `pid`, `received_qty`, `cost_each`, `received_date`, `received_by`, `source_po_id`, `source_receiving_status`).
+    *   Use `ON CONFLICT (receiving_id, pid)` (or similar unique key based on your source data) `DO UPDATE SET ...` for incremental updates if necessary, or simply delete/re-insert based on `receiving_id` for simplicity if performance allows.
+
+**Impact on Downstream Scripts (and how to adapt):**
+
+*   **Initial Query (Active POs):**
+    *   `SELECT ... FROM purchase_orders po WHERE po.status NOT IN ('canceled', 'done', 'paid_equivalent_status?') AND po.date >= ...`
+    *   `active_pos`: `COUNT(DISTINCT po.po_id)` based on the filtered POs.
+    *   `overdue_pos`: Add `AND po.expected_date < CURRENT_DATE`.
+    *   `total_units`: `SUM(po.ordered)`. Represents total units *ordered* on active POs.
+    *   `total_cost`: `SUM(po.ordered * po.po_cost_price)`. Cost of units *ordered*.
+    *   `total_retail`: `SUM(po.ordered * pm.current_price)`. Retail value of units *ordered*.
+    *   **Result:** This query now cleanly reports on the status of *orders* placed, which seems closer to its original intent. The filter `po.receiving_status NOT IN ('partial_received', 'full_received', 'paid')` is replaced by `po.status NOT IN ('canceled', 'done', 'paid_equivalent?')`. The 90% received check is removed as `received` is not reliably tracked *on the PO* anymore.
+
+*   **`daily_product_snapshots`:**
+    *   **`SalesData` CTE:** No change needed.
+    *   **`ReceivingData` CTE:** **Must be changed.** Query the **`receivings`** table instead of `purchase_orders`.
+        ```sql
+        ReceivingData AS (
+            SELECT
+                rl.pid,
+                COUNT(DISTINCT rl.receiving_id) as receiving_doc_count, 
+                SUM(rl.received_qty) AS units_received,
+                SUM(rl.received_qty * rl.cost_each) AS cost_received
+            FROM public.receivings rl
+            WHERE rl.received_date::date = _date
+              -- Optional: Filter out canceled receivings if needed
+              -- AND rl.source_receiving_status <> 'canceled' 
+            GROUP BY rl.pid
+        ),
+        ```
+    *   **Result:** This now accurately reflects *all* units received on a given day from the definitive source.
+
+*   **`update_product_metrics`:**
+    *   **`CurrentInfo` CTE:** No change needed (pulls from `products`).
+    *   **`OnOrderInfo` CTE:** Needs re-evaluation. How do you want to define "On Order"?
+        *   **Option A (Strict PO View):** `SUM(po.ordered)` from `purchase_orders po WHERE po.status NOT IN ('canceled', 'done', 'paid_equivalent?')`. This is quantity on *open orders*, ignoring fulfillment state. Simple, but might overestimate if items arrived unlinked.
+        *   **Option B (Approximate Fulfillment):** `SUM(po.ordered)` from open POs MINUS `SUM(rl.received_qty)` from `receivings rl` where `rl.source_po_id = po.po_id` (summing only directly linked receivings). Better, but still misses fulfillment via unlinked receivings.
+        *   **Option C (Heuristic):** `SUM(po.ordered)` from open POs MINUS `SUM(rl.received_qty)` from `receivings rl` where `rl.pid = po.pid` and `rl.received_date >= po.date`. This *tries* to account for unlinked receivings but is imprecise.
+        *   **Recommendation:** Start with **Option A** for simplicity, clearly labeling it "Quantity on Open POs". You might need a separate process or metric for a more nuanced view of expected vs. actual pipeline.
+        ```sql
+         -- Example for Option A
+         OnOrderInfo AS (
+             SELECT
+                 pid,
+                 SUM(ordered) AS on_order_qty, -- Total qty on open POs
+                 SUM(ordered * po_cost_price) AS on_order_cost -- Cost of qty on open POs
+             FROM public.purchase_orders
+             WHERE status NOT IN ('canceled', 'done', 'paid_equivalent?') -- Define your open statuses
+             GROUP BY pid
+         ),
+        ```
+    *   **`HistoricalDates` CTE:**
+        *   `date_first_sold`, `max_order_date`: No change (queries `orders`).
+        *   `date_first_received_calc`, `date_last_received_calc`: **Must be changed.** Query `MIN(rl.received_date)` and `MAX(rl.received_date)` from the **`receivings`** table grouped by `pid`.
+    *   **`SnapshotAggregates` CTE:**
+        *   `received_qty_30d`, `received_cost_30d`: These are calculated from `daily_product_snapshots`, which are now correctly sourced from `receivings`, so this part is fine.
+    *   **Forecasting Calculations:** Will use the chosen definition of `on_order_qty`. Be aware of the implications of Option A (potentially inflated if unlinked receivings fulfill orders).
+    *   **Result:** Metrics are calculated based on distinct order data and complete receiving data. The definition of "on order" needs careful consideration.
+
+**Summary of this Approach:**
+
+*   **Pros:**
+    *   Accurately models distinct order and receiving events.
+    *   Provides a definitive source (`receivings`) for all received inventory.
+    *   Simplifies the `purchase_orders` table and its import logic.
+    *   Avoids complex/potentially inaccurate allocation logic for unlinked receivings within the main tables.
+    *   Avoids synthetic records.
+    *   Fixes downstream reporting (`daily_snapshots` receiving data).
+*   **Cons:**
+    *   Requires creating/managing the `receivings` table.
+    *   Requires modifying downstream queries (`ReceivingData`, `OnOrderInfo`, `HistoricalDates`).
+    *   Calculating a precise "net quantity still expected to arrive" (true on-order minus all relevant fulfillment) becomes more complex and may require specific business rules or heuristics outside the basic table structure if Option A for `OnOrderInfo` isn't sufficient.
+
+This two-table approach (`purchase_orders` + `receivings`) seems the most robust and accurate way to handle your requirement for complete receiving records independent of potentially flawed PO linking. It directly addresses the shortcomings of the previous attempts.

inventory-server/auth/routes.js

@@ -34,10 +34,12 @@ const authenticate = async (req, res, next) => {
     
     // Get user from database
     const result = await pool.query(
-      'SELECT id, username, is_admin FROM users WHERE id = $1',
+      'SELECT id, username, email, is_admin, rocket_chat_user_id FROM users WHERE id = $1',
       [decoded.userId]
     );
     
+    console.log('Database query result for user', decoded.userId, ':', result.rows[0]);
+    
     if (result.rows.length === 0) {
       return res.status(401).json({ error: 'User not found' });
     }
@@ -58,7 +60,7 @@ router.post('/login', async (req, res) => {
     
     // Get user from database
     const result = await pool.query(
-      'SELECT id, username, password, is_admin, is_active FROM users WHERE username = $1',
+      'SELECT id, username, password, is_admin, is_active, rocket_chat_user_id FROM users WHERE username = $1',
       [username]
     );
     
@@ -101,6 +103,7 @@ router.post('/login', async (req, res) => {
         id: user.id,
         username: user.username,
         is_admin: user.is_admin,
+        rocket_chat_user_id: user.rocket_chat_user_id,
         permissions
       }
     });
@@ -119,8 +122,13 @@ router.get('/me', authenticate, async (req, res) => {
     res.json({
       id: req.user.id,
       username: req.user.username,
+      email: req.user.email,
       is_admin: req.user.is_admin,
-      permissions
+      rocket_chat_user_id: req.user.rocket_chat_user_id,
+      permissions,
+      // Debug info
+      _debug_raw_user: req.user,
+      _server_identifier: "INVENTORY_AUTH_SERVER_MODIFIED"
     });
   } catch (error) {
     console.error('Error getting current user:', error);
@@ -132,7 +140,7 @@ router.get('/me', authenticate, async (req, res) => {
 router.get('/users', authenticate, requirePermission('view:users'), async (req, res) => {
   try {
     const result = await pool.query(`
-      SELECT id, username, email, is_admin, is_active, created_at, last_login
+      SELECT id, username, email, is_admin, is_active, rocket_chat_user_id, created_at, last_login
       FROM users
       ORDER BY username
     `);
@@ -151,7 +159,7 @@ router.get('/users/:id', authenticate, requirePermission('view:users'), async (r
     
     // Get user details
     const userResult = await pool.query(`
-      SELECT id, username, email, is_admin, is_active, created_at, last_login
+      SELECT id, username, email, is_admin, is_active, rocket_chat_user_id, created_at, last_login
       FROM users
       WHERE id = $1
     `, [userId]);
@@ -187,13 +195,14 @@ router.post('/users', authenticate, requirePermission('create:users'), async (re
   const client = await pool.connect();
   
   try {
-    const { username, email, password, is_admin, is_active, permissions } = req.body;
+    const { username, email, password, is_admin, is_active, rocket_chat_user_id, permissions } = req.body;
     
     console.log("Create user request:", {
       username,
       email,
       is_admin,
       is_active,
+      rocket_chat_user_id,
       permissions: permissions || []
     });
     
@@ -221,10 +230,10 @@ router.post('/users', authenticate, requirePermission('create:users'), async (re
     
     // Insert new user
     const userResult = await client.query(`
-      INSERT INTO users (username, email, password, is_admin, is_active, created_at)
-      VALUES ($1, $2, $3, $4, $5, CURRENT_TIMESTAMP)
+      INSERT INTO users (username, email, password, is_admin, is_active, rocket_chat_user_id, created_at)
+      VALUES ($1, $2, $3, $4, $5, $6, CURRENT_TIMESTAMP)
       RETURNING id
-    `, [username, email || null, hashedPassword, !!is_admin, is_active !== false]);
+    `, [username, email || null, hashedPassword, !!is_admin, is_active !== false, rocket_chat_user_id || null]);
     
     const userId = userResult.rows[0].id;
     
@@ -299,7 +308,7 @@ router.put('/users/:id', authenticate, requirePermission('edit:users'), async (r
   
   try {
     const userId = req.params.id;
-    const { username, email, password, is_admin, is_active, permissions } = req.body;
+    const { username, email, password, is_admin, is_active, rocket_chat_user_id, permissions } = req.body;
     
     console.log("Update user request:", {
       userId,
@@ -307,6 +316,7 @@ router.put('/users/:id', authenticate, requirePermission('edit:users'), async (r
       email,
       is_admin,
       is_active,
+      rocket_chat_user_id,
       permissions: permissions || []
     });
     
@@ -348,6 +358,11 @@ router.put('/users/:id', authenticate, requirePermission('edit:users'), async (r
       updateValues.push(!!is_active);
     }
     
+    if (rocket_chat_user_id !== undefined) {
+      updateFields.push(`rocket_chat_user_id = $${paramIndex++}`);
+      updateValues.push(rocket_chat_user_id || null);
+    }
+    
     // Update password if provided
     if (password) {
       const saltRounds = 10;

inventory-server/auth/server.js

@@ -35,7 +35,7 @@ global.pool = pool;
 app.use(express.json());
 app.use(morgan('combined'));
 app.use(cors({
-  origin: ['http://localhost:5173', 'http://localhost:5174', 'https://inventory.kent.pw'],
+  origin: ['http://localhost:5175', 'http://localhost:5174', 'https://inventory.kent.pw'],
   credentials: true
 }));
 
@@ -108,7 +108,7 @@ app.get('/me', async (req, res) => {
     
     // Get user details from database
     const userResult = await pool.query(
-      'SELECT id, username, email, is_admin, is_active FROM users WHERE id = $1',
+      'SELECT id, username, email, is_admin, rocket_chat_user_id, is_active FROM users WHERE id = $1',
       [decoded.userId]
     );
     
@@ -135,6 +135,7 @@ app.get('/me', async (req, res) => {
       id: user.id,
       username: user.username,
       email: user.email,
+      rocket_chat_user_id: user.rocket_chat_user_id,
       is_admin: user.is_admin,
       permissions: permissions
     });

inventory-server/chat/db-convert/mongo_to_postgres_converter.py

@@ -0,0 +1,881 @@
+#!/usr/bin/env python3
+"""
+MongoDB to PostgreSQL Converter for Rocket.Chat
+Converts MongoDB BSON export files to PostgreSQL database
+
+Usage:
+    python3 mongo_to_postgres_converter.py \
+        --mongo-path db/database/62df06d44234d20001289144 \
+        --pg-database rocketchat_converted \
+        --pg-user rocketchat_user \
+        --pg-password your_password \
+        --debug
+"""
+
+import json
+import os
+import re
+import subprocess
+import sys
+import struct
+from datetime import datetime
+from pathlib import Path
+from typing import Dict, Any, List, Optional
+import argparse
+import traceback
+
+# Auto-install dependencies if needed
+try:
+    import bson
+    import psycopg2
+except ImportError:
+    print("Installing required packages...")
+    subprocess.check_call([sys.executable, "-m", "pip", "install", "pymongo", "psycopg2-binary"])
+    import bson
+    import psycopg2
+
+class MongoToPostgresConverter:
+    def __init__(self, mongo_db_path: str, postgres_config: Dict[str, str], debug_mode: bool = False, debug_collections: List[str] = None):
+        self.mongo_db_path = Path(mongo_db_path)
+        self.postgres_config = postgres_config
+        self.debug_mode = debug_mode
+        self.debug_collections = debug_collections or []
+        self.collections = {}
+        self.schema_info = {}
+        self.error_log = {}
+        
+    def log_debug(self, message: str, collection: str = None):
+        """Log debug messages if debug mode is enabled and collection is in debug list"""
+        if self.debug_mode and (not self.debug_collections or collection in self.debug_collections):
+            print(f"DEBUG: {message}")
+            
+    def log_error(self, collection: str, error_type: str, details: str):
+        """Log detailed error information"""
+        if collection not in self.error_log:
+            self.error_log[collection] = []
+        self.error_log[collection].append({
+            'type': error_type,
+            'details': details,
+            'timestamp': datetime.now().isoformat()
+        })
+        
+    def sample_documents(self, collection_name: str, max_samples: int = 3) -> List[Dict]:
+        """Sample documents from a collection for debugging"""
+        if not self.debug_mode or (self.debug_collections and collection_name not in self.debug_collections):
+            return []
+            
+        print(f"\n🔍 Sampling documents from {collection_name}:")
+        
+        bson_file = self.collections[collection_name]['bson_file']
+        if bson_file.stat().st_size == 0:
+            print("  Collection is empty")
+            return []
+            
+        samples = []
+        
+        try:
+            with open(bson_file, 'rb') as f:
+                sample_count = 0
+                while sample_count < max_samples:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0:
+                            break
+                        f.seek(-4, 1)
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                            
+                        doc = bson.decode(doc_bytes)
+                        samples.append(doc)
+                        sample_count += 1
+                        
+                        print(f"  Sample {sample_count} - Keys: {list(doc.keys())}")
+                        # Show a few key fields with their types and truncated values
+                        for key, value in list(doc.items())[:3]:
+                            value_preview = str(value)[:50] + "..." if len(str(value)) > 50 else str(value)
+                            print(f"    {key}: {type(value).__name__} = {value_preview}")
+                        if len(doc) > 3:
+                            print(f"    ... and {len(doc) - 3} more fields")
+                        print()
+                        
+                    except (bson.InvalidBSON, struct.error, OSError) as e:
+                        self.log_error(collection_name, 'document_parsing', str(e))
+                        break
+                        
+        except Exception as e:
+            self.log_error(collection_name, 'file_reading', str(e))
+            print(f"  Error reading collection: {e}")
+            
+        return samples
+
+    def discover_collections(self):
+        """Discover all BSON files and their metadata"""
+        print("Discovering MongoDB collections...")
+        
+        for bson_file in self.mongo_db_path.glob("*.bson"):
+            collection_name = bson_file.stem
+            metadata_file = bson_file.with_suffix(".metadata.json")
+            
+            # Read metadata if available
+            metadata = {}
+            if metadata_file.exists():
+                try:
+                    with open(metadata_file, 'r', encoding='utf-8') as f:
+                        metadata = json.load(f)
+                except (UnicodeDecodeError, json.JSONDecodeError) as e:
+                    print(f"Warning: Could not read metadata for {collection_name}: {e}")
+                    metadata = {}
+            
+            # Get file size and document count estimate
+            file_size = bson_file.stat().st_size
+            doc_count = self._estimate_document_count(bson_file)
+            
+            self.collections[collection_name] = {
+                'bson_file': bson_file,
+                'metadata': metadata,
+                'file_size': file_size,
+                'estimated_docs': doc_count
+            }
+            
+        print(f"Found {len(self.collections)} collections")
+        for name, info in self.collections.items():
+            print(f"  - {name}: {info['file_size']/1024/1024:.1f}MB (~{info['estimated_docs']} docs)")
+    
+    def _estimate_document_count(self, bson_file: Path) -> int:
+        """Estimate document count by reading first few documents"""
+        if bson_file.stat().st_size == 0:
+            return 0
+            
+        try:
+            with open(bson_file, 'rb') as f:
+                docs_sampled = 0
+                bytes_sampled = 0
+                max_sample_size = min(1024 * 1024, bson_file.stat().st_size)  # 1MB or file size
+                
+                while bytes_sampled < max_sample_size:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0 or doc_size > 16 * 1024 * 1024:  # MongoDB doc size limit
+                            break
+                        f.seek(-4, 1)  # Go back
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                        bson.decode(doc_bytes)  # Validate it's a valid BSON document
+                        docs_sampled += 1
+                        bytes_sampled += doc_size
+                    except (bson.InvalidBSON, struct.error, OSError):
+                        break
+                
+                if docs_sampled > 0 and bytes_sampled > 0:
+                    avg_doc_size = bytes_sampled / docs_sampled
+                    return int(bson_file.stat().st_size / avg_doc_size)
+                    
+        except Exception:
+            pass
+            
+        return 0
+    
+    def analyze_schema(self, collection_name: str, sample_size: int = 100) -> Dict[str, Any]:
+        """Analyze collection schema by sampling documents"""
+        print(f"Analyzing schema for {collection_name}...")
+        
+        bson_file = self.collections[collection_name]['bson_file']
+        if bson_file.stat().st_size == 0:
+            return {}
+            
+        schema = {}
+        docs_analyzed = 0
+        
+        try:
+            with open(bson_file, 'rb') as f:
+                while docs_analyzed < sample_size:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0:
+                            break
+                        f.seek(-4, 1)
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                            
+                        doc = bson.decode(doc_bytes)
+                        self._analyze_document_schema(doc, schema)
+                        docs_analyzed += 1
+                        
+                    except (bson.InvalidBSON, struct.error, OSError):
+                        break
+                        
+        except Exception as e:
+            print(f"Error analyzing {collection_name}: {e}")
+            
+        self.schema_info[collection_name] = schema
+        return schema
+    
+    def _analyze_document_schema(self, doc: Dict[str, Any], schema: Dict[str, Any], prefix: str = ""):
+        """Recursively analyze document structure"""
+        for key, value in doc.items():
+            full_key = f"{prefix}.{key}" if prefix else key
+            
+            if full_key not in schema:
+                schema[full_key] = {
+                    'types': set(),
+                    'null_count': 0,
+                    'total_count': 0,
+                    'is_array': False,
+                    'nested_schema': {}
+                }
+            
+            schema[full_key]['total_count'] += 1
+            
+            if value is None:
+                schema[full_key]['null_count'] += 1
+                schema[full_key]['types'].add('null')
+            elif isinstance(value, dict):
+                schema[full_key]['types'].add('object')
+                if 'nested_schema' not in schema[full_key]:
+                    schema[full_key]['nested_schema'] = {}
+                self._analyze_document_schema(value, schema[full_key]['nested_schema'])
+            elif isinstance(value, list):
+                schema[full_key]['types'].add('array')
+                schema[full_key]['is_array'] = True
+                if value and isinstance(value[0], dict):
+                    if 'array_item_schema' not in schema[full_key]:
+                        schema[full_key]['array_item_schema'] = {}
+                    for item in value[:5]:  # Sample first 5 items
+                        if isinstance(item, dict):
+                            self._analyze_document_schema(item, schema[full_key]['array_item_schema'])
+            else:
+                schema[full_key]['types'].add(type(value).__name__)
+    
+    def generate_postgres_schema(self) -> Dict[str, str]:
+        """Generate PostgreSQL CREATE TABLE statements"""
+        print("Generating PostgreSQL schema...")
+        
+        table_definitions = {}
+        
+        for collection_name, schema in self.schema_info.items():
+            if not schema:  # Empty collection
+                continue
+                
+            table_name = self._sanitize_table_name(collection_name)
+            columns = []
+            
+            # Always add an id column (PostgreSQL doesn't use _id like MongoDB)
+            columns.append("id SERIAL PRIMARY KEY")
+            
+            for field_name, field_info in schema.items():
+                if field_name == '_id':
+                    columns.append("mongo_id TEXT")  # Always allow NULL for mongo_id
+                    continue
+                    
+                col_name = self._sanitize_column_name(field_name)
+                
+                # Handle conflicts with PostgreSQL auto-generated columns
+                if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                    col_name = f"field_{col_name}"
+                
+                col_type = self._determine_postgres_type(field_info)
+                
+                # Make all fields nullable by default to avoid constraint violations
+                columns.append(f"{col_name} {col_type}")
+            
+            # Add metadata columns
+            columns.extend([
+                "created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP",
+                "updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP"
+            ])
+            
+            column_definitions = ',\n    '.join(columns)
+            table_sql = f"""
+CREATE TABLE IF NOT EXISTS {table_name} (
+    {column_definitions}
+);
+
+-- Create indexes based on MongoDB indexes
+"""
+            
+            # Get list of actual columns that will exist in the table
+            existing_columns = set(['id', 'mongo_id', 'created_at', 'updated_at'])
+            for field_name in schema.keys():
+                if field_name != '_id':
+                    col_name = self._sanitize_column_name(field_name)
+                    # Handle conflicts with PostgreSQL auto-generated columns
+                    if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                        col_name = f"field_{col_name}"
+                    existing_columns.add(col_name)
+            
+            # Add indexes from MongoDB metadata
+            metadata = self.collections[collection_name].get('metadata', {})
+            indexes = metadata.get('indexes', [])
+            
+            for index in indexes:
+                if index['name'] != '_id_':  # Skip the default _id index
+                    # Sanitize index name - remove special characters
+                    sanitized_index_name = re.sub(r'[^a-zA-Z0-9_]', '_', index['name'])
+                    index_name = f"idx_{table_name}_{sanitized_index_name}"
+                    index_keys = list(index['key'].keys())
+                    if index_keys:
+                        sanitized_keys = []
+                        for key in index_keys:
+                            if key != '_id':
+                                sanitized_key = self._sanitize_column_name(key)
+                                # Handle conflicts with PostgreSQL auto-generated columns
+                                if sanitized_key in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                                    sanitized_key = f"field_{sanitized_key}"
+                                # Only add if the column actually exists in our table
+                                if sanitized_key in existing_columns:
+                                    sanitized_keys.append(sanitized_key)
+                        
+                        if sanitized_keys:
+                            table_sql += f"CREATE INDEX IF NOT EXISTS {index_name} ON {table_name} ({', '.join(sanitized_keys)});\n"
+            
+            table_definitions[collection_name] = table_sql
+            
+        return table_definitions
+    
+    def _sanitize_table_name(self, name: str) -> str:
+        """Convert MongoDB collection name to PostgreSQL table name"""
+        # Remove rocketchat_ prefix if present
+        if name.startswith('rocketchat_'):
+            name = name[11:]
+        
+        # Replace special characters with underscores
+        name = re.sub(r'[^a-zA-Z0-9_]', '_', name)
+        
+        # Ensure it starts with a letter
+        if name and name[0].isdigit():
+            name = 'table_' + name
+            
+        return name.lower()
+    
+    def _sanitize_column_name(self, name: str) -> str:
+        """Convert MongoDB field name to PostgreSQL column name"""
+        # Handle nested field names (convert dots to underscores)
+        name = name.replace('.', '_')
+        
+        # Replace special characters with underscores
+        name = re.sub(r'[^a-zA-Z0-9_]', '_', name)
+        
+        # Ensure it starts with a letter or underscore
+        if name and name[0].isdigit():
+            name = 'col_' + name
+            
+        # Handle PostgreSQL reserved words
+        reserved = {
+            'user', 'order', 'group', 'table', 'index', 'key', 'value', 'date', 'time', 'timestamp',
+            'default', 'select', 'from', 'where', 'insert', 'update', 'delete', 'create', 'drop',
+            'alter', 'grant', 'revoke', 'commit', 'rollback', 'begin', 'end', 'case', 'when',
+            'then', 'else', 'if', 'null', 'not', 'and', 'or', 'in', 'exists', 'between',
+            'like', 'limit', 'offset', 'union', 'join', 'inner', 'outer', 'left', 'right',
+            'full', 'cross', 'natural', 'on', 'using', 'distinct', 'all', 'any', 'some',
+            'desc', 'asc', 'primary', 'foreign', 'references', 'constraint', 'unique',
+            'check', 'cascade', 'restrict', 'action', 'match', 'partial', 'full'
+        }
+        if name.lower() in reserved:
+            name = name + '_col'
+            
+        return name.lower()
+    
+    def _determine_postgres_type(self, field_info: Dict[str, Any]) -> str:
+        """Determine PostgreSQL column type from MongoDB field analysis with improved logic"""
+        types = field_info['types']
+        
+        # Convert set to list for easier checking
+        type_list = list(types)
+        
+        # If there's only one type (excluding null), use specific typing
+        non_null_types = [t for t in type_list if t != 'null']
+        
+        if len(non_null_types) == 1:
+            single_type = non_null_types[0]
+            if single_type == 'bool':
+                return 'BOOLEAN'
+            elif single_type == 'int':
+                return 'INTEGER'
+            elif single_type == 'float':
+                return 'NUMERIC'
+            elif single_type == 'str':
+                return 'TEXT'
+            elif single_type == 'datetime':
+                return 'TIMESTAMP'
+            elif single_type == 'ObjectId':
+                return 'TEXT'
+        
+        # Handle mixed types more conservatively
+        if 'array' in types or field_info.get('is_array', False):
+            return 'JSONB'  # Arrays always go to JSONB
+        elif 'object' in types:
+            return 'JSONB'  # Objects always go to JSONB
+        elif len(non_null_types) > 1:
+            # Multiple non-null types - check for common combinations
+            if set(non_null_types) <= {'int', 'float'}:
+                return 'NUMERIC'  # Can handle both int and float
+            elif set(non_null_types) <= {'bool', 'str'}:
+                return 'TEXT'  # Convert everything to text
+            elif set(non_null_types) <= {'str', 'ObjectId'}:
+                return 'TEXT'  # Both are string-like
+            else:
+                return 'JSONB'  # Complex mixed types go to JSONB
+        elif 'ObjectId' in types:
+            return 'TEXT'
+        elif 'datetime' in types:
+            return 'TIMESTAMP'
+        elif 'bool' in types:
+            return 'BOOLEAN'
+        elif 'int' in types:
+            return 'INTEGER'
+        elif 'float' in types:
+            return 'NUMERIC'
+        elif 'str' in types:
+            return 'TEXT'
+        else:
+            return 'TEXT'  # Default fallback
+    
+    def create_postgres_database(self, table_definitions: Dict[str, str]):
+        """Create PostgreSQL database and tables"""
+        print("Creating PostgreSQL database schema...")
+        
+        try:
+            # Connect to PostgreSQL
+            conn = psycopg2.connect(**self.postgres_config)
+            conn.autocommit = True
+            cursor = conn.cursor()
+            
+            # Create tables
+            for collection_name, table_sql in table_definitions.items():
+                print(f"Creating table for {collection_name}...")
+                cursor.execute(table_sql)
+            
+            cursor.close()
+            conn.close()
+            print("Database schema created successfully!")
+            
+        except Exception as e:
+            print(f"Error creating database schema: {e}")
+            raise
+    
+    def convert_and_insert_data(self, batch_size: int = 1000):
+        """Convert BSON data and insert into PostgreSQL"""
+        print("Converting and inserting data...")
+        
+        try:
+            conn = psycopg2.connect(**self.postgres_config)
+            conn.autocommit = False
+            
+            for collection_name in self.collections:
+                print(f"Processing {collection_name}...")
+                self._convert_collection(conn, collection_name, batch_size)
+            
+            conn.close()
+            print("Data conversion completed successfully!")
+            
+        except Exception as e:
+            print(f"Error converting data: {e}")
+            raise
+    
+    def _convert_collection(self, conn, collection_name: str, batch_size: int):
+        """Convert a single collection"""
+        bson_file = self.collections[collection_name]['bson_file']
+        
+        if bson_file.stat().st_size == 0:
+            print(f"  Skipping empty collection {collection_name}")
+            return
+            
+        table_name = self._sanitize_table_name(collection_name)
+        cursor = conn.cursor()
+        
+        batch = []
+        total_inserted = 0
+        errors = 0
+        
+        try:
+            with open(bson_file, 'rb') as f:
+                while True:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0:
+                            break
+                        f.seek(-4, 1)
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                            
+                        doc = bson.decode(doc_bytes)
+                        batch.append(doc)
+                        
+                        if len(batch) >= batch_size:
+                            inserted, batch_errors = self._insert_batch(cursor, table_name, batch, collection_name)
+                            total_inserted += inserted
+                            errors += batch_errors
+                            batch = []
+                            conn.commit()
+                            if total_inserted % 5000 == 0:  # Less frequent progress updates
+                                print(f"  Inserted {total_inserted} documents...")
+                            
+                    except (bson.InvalidBSON, struct.error, OSError):
+                        break
+                
+                # Insert remaining documents
+                if batch:
+                    inserted, batch_errors = self._insert_batch(cursor, table_name, batch, collection_name)
+                    total_inserted += inserted
+                    errors += batch_errors
+                    conn.commit()
+                    
+            if errors > 0:
+                print(f"  Completed {collection_name}: {total_inserted} documents inserted ({errors} errors)")
+            else:
+                print(f"  Completed {collection_name}: {total_inserted} documents inserted")
+            
+        except Exception as e:
+            print(f"  Error processing {collection_name}: {e}")
+            conn.rollback()
+        finally:
+            cursor.close()
+    
+    def _insert_batch(self, cursor, table_name: str, documents: List[Dict], collection_name: str):
+        """Insert a batch of documents with proper transaction handling"""
+        if not documents:
+            return 0, 0
+            
+        # Get schema info for this collection
+        schema = self.schema_info.get(collection_name, {})
+        
+        # Build column list
+        columns = ['mongo_id']
+        for field_name in schema.keys():
+            if field_name != '_id':
+                col_name = self._sanitize_column_name(field_name)
+                # Handle conflicts with PostgreSQL auto-generated columns
+                if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                    col_name = f"field_{col_name}"
+                columns.append(col_name)
+        
+        # Build INSERT statement
+        placeholders = ', '.join(['%s'] * len(columns))
+        sql = f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES ({placeholders})"
+        
+        self.log_debug(f"SQL: {sql}", collection_name)
+        
+        # Convert documents to tuples
+        rows = []
+        errors = 0
+        
+        for doc_idx, doc in enumerate(documents):
+            try:
+                row = []
+                
+                # Add mongo_id
+                row.append(str(doc.get('_id', '')))
+                
+                # Add other fields
+                for field_name in schema.keys():
+                    if field_name != '_id':
+                        try:
+                            value = self._get_nested_value(doc, field_name)
+                            converted_value = self._convert_value_for_postgres(value, field_name, schema)
+                            row.append(converted_value)
+                        except Exception as e:
+                            self.log_error(collection_name, 'field_conversion', 
+                                         f"Field '{field_name}' in doc {doc_idx}: {str(e)}")
+                            # Only show debug for collections we're focusing on
+                            if collection_name in self.debug_collections:
+                                print(f"    ⚠️  Error converting field '{field_name}': {e}")
+                            row.append(None)  # Use NULL for problematic fields
+                
+                rows.append(tuple(row))
+                
+            except Exception as e:
+                self.log_error(collection_name, 'document_conversion', f"Document {doc_idx}: {str(e)}")
+                errors += 1
+                continue
+        
+        # Execute batch insert
+        if rows:
+            try:
+                cursor.executemany(sql, rows)
+                return len(rows), errors
+            except Exception as batch_error:
+                self.log_error(collection_name, 'batch_insert', str(batch_error))
+                
+                # Only show detailed debugging for targeted collections
+                if collection_name in self.debug_collections:
+                    print(f"    🔴 Batch insert failed for {collection_name}: {batch_error}")
+                    print("    Trying individual inserts with rollback handling...")
+                
+                # Rollback the failed transaction
+                cursor.connection.rollback()
+                
+                # Try inserting one by one in individual transactions
+                success_count = 0
+                for row_idx, row in enumerate(rows):
+                    try:
+                        cursor.execute(sql, row)
+                        cursor.connection.commit()  # Commit each successful insert
+                        success_count += 1
+                    except Exception as row_error:
+                        cursor.connection.rollback()  # Rollback failed insert
+                        self.log_error(collection_name, 'row_insert', f"Row {row_idx}: {str(row_error)}")
+                        
+                        # Show detailed error only for the first few failures and only for targeted collections
+                        if collection_name in self.debug_collections and errors < 3:
+                            print(f"      Row {row_idx} failed: {row_error}")
+                            print(f"      Row data: {len(row)} values, expected {len(columns)} columns")
+                            
+                        errors += 1
+                        continue
+                return success_count, errors
+        
+        return 0, errors
+    
+    def _get_nested_value(self, doc: Dict, field_path: str):
+        """Get value from nested document using dot notation"""
+        keys = field_path.split('.')
+        value = doc
+        
+        for key in keys:
+            if isinstance(value, dict) and key in value:
+                value = value[key]
+            else:
+                return None
+                
+        return value
+    
+    def _convert_value_for_postgres(self, value, field_name: str = None, schema: Dict = None):
+        """Convert MongoDB value to PostgreSQL compatible value with schema-aware conversion"""
+        if value is None:
+            return None
+        
+        # Get the expected PostgreSQL type for this field if available
+        expected_type = None
+        if schema and field_name and field_name in schema:
+            field_info = schema[field_name]
+            expected_type = self._determine_postgres_type(field_info)
+        
+        # Handle conversion based on expected type
+        if expected_type == 'BOOLEAN':
+            if isinstance(value, bool):
+                return value
+            elif isinstance(value, str):
+                return value.lower() in ('true', '1', 'yes', 'on')
+            elif isinstance(value, (int, float)):
+                return bool(value)
+            else:
+                return None
+        elif expected_type == 'INTEGER':
+            if isinstance(value, int):
+                return value
+            elif isinstance(value, float):
+                return int(value)
+            elif isinstance(value, str) and value.isdigit():
+                return int(value)
+            elif isinstance(value, bool):
+                return int(value)
+            else:
+                return None
+        elif expected_type == 'NUMERIC':
+            if isinstance(value, (int, float)):
+                return value
+            elif isinstance(value, str):
+                try:
+                    return float(value)
+                except ValueError:
+                    return None
+            elif isinstance(value, bool):
+                return float(value)
+            else:
+                return None
+        elif expected_type == 'TEXT':
+            if isinstance(value, str):
+                return value
+            elif value is not None:
+                str_value = str(value)
+                # Handle very long strings
+                if len(str_value) > 65535:
+                    return str_value[:65535]
+                return str_value
+            else:
+                return None
+        elif expected_type == 'TIMESTAMP':
+            if hasattr(value, 'isoformat'):
+                return value.isoformat()
+            elif isinstance(value, str):
+                return value
+            else:
+                return str(value) if value is not None else None
+        elif expected_type == 'JSONB':
+            if isinstance(value, (dict, list)):
+                return json.dumps(value, default=self._json_serializer)
+            elif isinstance(value, str):
+                # Check if it's already valid JSON
+                try:
+                    json.loads(value)
+                    return value
+                except (json.JSONDecodeError, TypeError):
+                    # Not valid JSON, wrap it
+                    return json.dumps(value)
+            else:
+                return json.dumps(value, default=self._json_serializer)
+        
+        # Fallback to original logic if no expected type or type not recognized
+        if isinstance(value, bool):
+            return value
+        elif isinstance(value, (int, float)):
+            return value
+        elif isinstance(value, str):
+            return value
+        elif isinstance(value, (dict, list)):
+            return json.dumps(value, default=self._json_serializer)
+        elif hasattr(value, 'isoformat'):  # datetime
+            return value.isoformat()
+        elif hasattr(value, '__str__'):
+            str_value = str(value)
+            if len(str_value) > 65535:
+                return str_value[:65535]
+            return str_value
+        else:
+            return str(value)
+    
+    def _json_serializer(self, obj):
+        """Custom JSON serializer for complex objects with better error handling"""
+        try:
+            if hasattr(obj, 'isoformat'):  # datetime
+                return obj.isoformat()
+            elif hasattr(obj, '__str__'):
+                return str(obj)
+            else:
+                return None
+        except Exception as e:
+            self.log_debug(f"JSON serialization error: {e}")
+            return str(obj)
+    
+    def run_conversion(self, sample_size: int = 100, batch_size: int = 1000):
+        """Run the full conversion process with focused debugging"""
+        print("Starting MongoDB to PostgreSQL conversion...")
+        print("This will convert your Rocket.Chat database from MongoDB to PostgreSQL")
+        if self.debug_mode:
+            if self.debug_collections:
+                print(f"🐛 DEBUG MODE: Focusing on collections: {', '.join(self.debug_collections)}")
+            else:
+                print("🐛 DEBUG MODE: All collections")
+        print("=" * 70)
+        
+        # Step 1: Discover collections
+        self.discover_collections()
+        
+        # Step 2: Analyze schemas
+        print("\nAnalyzing collection schemas...")
+        for collection_name in self.collections:
+            self.analyze_schema(collection_name, sample_size)
+        
+        # Sample problematic collections if debugging
+        if self.debug_mode and self.debug_collections:
+            for coll in self.debug_collections:
+                if coll in self.collections:
+                    self.sample_documents(coll, 2)
+        
+        # Step 3: Generate PostgreSQL schema
+        table_definitions = self.generate_postgres_schema()
+        
+        # Step 4: Create database schema
+        self.create_postgres_database(table_definitions)
+        
+        # Step 5: Convert and insert data
+        self.convert_and_insert_data(batch_size)
+        
+        # Step 6: Show error summary
+        self._print_error_summary()
+        
+        print("=" * 70)
+        print("✅ Conversion completed!")
+        print(f"   Database: {self.postgres_config['database']}")
+        print(f"   Tables created: {len(table_definitions)}")
+        
+    def _print_error_summary(self):
+        """Print a focused summary of errors"""
+        if not self.error_log:
+            print("\n✅ No errors encountered during conversion!")
+            return
+            
+        print("\n⚠️  ERROR SUMMARY:")
+        print("=" * 50)
+        
+        # Sort by error count descending
+        sorted_collections = sorted(self.error_log.items(), 
+                                  key=lambda x: len(x[1]), reverse=True)
+        
+        for collection, errors in sorted_collections:
+            error_types = {}
+            for error in errors:
+                error_type = error['type']
+                if error_type not in error_types:
+                    error_types[error_type] = []
+                error_types[error_type].append(error['details'])
+            
+            print(f"\n🔴 {collection} ({len(errors)} total errors):")
+            for error_type, details_list in error_types.items():
+                print(f"   {error_type}: {len(details_list)} errors")
+                
+                # Show sample errors for critical collections
+                if collection in ['rocketchat_settings', 'rocketchat_room'] and len(details_list) > 0:
+                    print(f"     Sample: {details_list[0][:100]}...")
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Convert MongoDB BSON export to PostgreSQL',
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  # Basic usage
+  python3 mongo_to_postgres_converter.py \\
+    --mongo-path db/database/62df06d44234d20001289144 \\
+    --pg-database rocketchat_converted \\
+    --pg-user rocketchat_user \\
+    --pg-password mypassword
+
+  # Debug specific failing collections
+  python3 mongo_to_postgres_converter.py \\
+    --mongo-path db/database/62df06d44234d20001289144 \\
+    --pg-database rocketchat_converted \\
+    --pg-user rocketchat_user \\
+    --pg-password mypassword \\
+    --debug-collections rocketchat_settings rocketchat_room
+
+Before running this script:
+1. Run: sudo -u postgres psql -f reset_database.sql
+2. Update the password in reset_database.sql
+        """
+    )
+    
+    parser.add_argument('--mongo-path', required=True, help='Path to MongoDB export directory')
+    parser.add_argument('--pg-host', default='localhost', help='PostgreSQL host (default: localhost)')
+    parser.add_argument('--pg-port', default='5432', help='PostgreSQL port (default: 5432)')
+    parser.add_argument('--pg-database', required=True, help='PostgreSQL database name')
+    parser.add_argument('--pg-user', required=True, help='PostgreSQL username')
+    parser.add_argument('--pg-password', required=True, help='PostgreSQL password')
+    parser.add_argument('--sample-size', type=int, default=100, help='Number of documents to sample for schema analysis (default: 100)')
+    parser.add_argument('--batch-size', type=int, default=1000, help='Batch size for data insertion (default: 1000)')
+    parser.add_argument('--debug', action='store_true', help='Enable debug mode with detailed error logging')
+    parser.add_argument('--debug-collections', nargs='*', help='Specific collections to debug (e.g., rocketchat_settings rocketchat_room)')
+    
+    args = parser.parse_args()
+    
+    postgres_config = {
+        'host': args.pg_host,
+        'port': args.pg_port,
+        'database': args.pg_database,
+        'user': args.pg_user,
+        'password': args.pg_password
+    }
+    
+    # Enable debug mode if debug collections are specified
+    debug_mode = args.debug or (args.debug_collections is not None)
+    
+    converter = MongoToPostgresConverter(args.mongo_path, postgres_config, debug_mode, args.debug_collections)
+    converter.run_conversion(args.sample_size, args.batch_size)
+
+
+if __name__ == '__main__':
+    main() 

inventory-server/chat/db-convert/reset_database.sql

@@ -0,0 +1,41 @@
+-- PostgreSQL Database Reset Script for Rocket.Chat Import
+-- Run as: sudo -u postgres psql -f reset_database.sql
+
+-- Terminate all connections to the database (force disconnect users)
+SELECT pg_terminate_backend(pid)
+FROM pg_stat_activity
+WHERE datname = 'rocketchat_converted' AND pid <> pg_backend_pid();
+
+-- Drop the database if it exists
+DROP DATABASE IF EXISTS rocketchat_converted;
+
+-- Create fresh database
+CREATE DATABASE rocketchat_converted;
+
+-- Create user (if not exists)
+DO $$ 
+BEGIN
+    IF NOT EXISTS (SELECT FROM pg_user WHERE usename = 'rocketchat_user') THEN
+        CREATE USER rocketchat_user WITH PASSWORD 'HKjLgt23gWuPXzEAn3rW';
+    END IF;
+END $$;
+
+-- Grant database privileges
+GRANT CONNECT ON DATABASE rocketchat_converted TO rocketchat_user;
+GRANT CREATE ON DATABASE rocketchat_converted TO rocketchat_user;
+
+-- Connect to the new database
+\c rocketchat_converted;
+
+-- Grant schema privileges
+GRANT CREATE ON SCHEMA public TO rocketchat_user;
+GRANT USAGE ON SCHEMA public TO rocketchat_user;
+
+-- Grant privileges on all future tables and sequences
+ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT, INSERT, UPDATE, DELETE ON TABLES TO rocketchat_user;
+ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT USAGE, SELECT ON SEQUENCES TO rocketchat_user;
+
+-- Display success message
+\echo 'Database reset completed successfully!'
+\echo 'You can now run the converter with:'
+\echo 'python3 mongo_to_postgres_converter.py --mongo-path db/database/62df06d44234d20001289144 --pg-database rocketchat_converted --pg-user rocketchat_user --pg-password your_password' 

inventory-server/chat/db-convert/test_converter.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+"""
+Quick test script to verify the converter fixes work for problematic collections
+"""
+
+from mongo_to_postgres_converter import MongoToPostgresConverter
+
+def test_problematic_collections():
+    print("🧪 Testing converter fixes for problematic collections...")
+    
+    postgres_config = {
+        'host': 'localhost',
+        'port': '5432',
+        'database': 'rocketchat_test',
+        'user': 'rocketchat_user',
+        'password': 'password123'
+    }
+    
+    converter = MongoToPostgresConverter(
+        'db/database/62df06d44234d20001289144',
+        postgres_config,
+        debug_mode=True,
+        debug_collections=['rocketchat_settings', 'rocketchat_room']
+    )
+    
+    # Test just discovery and schema analysis
+    print("\n1. Testing collection discovery...")
+    converter.discover_collections()
+    
+    print("\n2. Testing schema analysis...")
+    if 'rocketchat_settings' in converter.collections:
+        settings_schema = converter.analyze_schema('rocketchat_settings', 10)
+        print(f"Settings schema fields: {len(settings_schema)}")
+        
+        # Check specific problematic fields
+        if 'packageValue' in settings_schema:
+            packagevalue_info = settings_schema['packageValue']
+            pg_type = converter._determine_postgres_type(packagevalue_info)
+            print(f"packageValue types: {packagevalue_info['types']} -> PostgreSQL: {pg_type}")
+            
+    if 'rocketchat_room' in converter.collections:
+        room_schema = converter.analyze_schema('rocketchat_room', 10)
+        print(f"Room schema fields: {len(room_schema)}")
+        
+        # Check specific problematic fields
+        if 'sysMes' in room_schema:
+            sysmes_info = room_schema['sysMes']
+            pg_type = converter._determine_postgres_type(sysmes_info)
+            print(f"sysMes types: {sysmes_info['types']} -> PostgreSQL: {pg_type}")
+    
+    print("\n✅ Test completed - check the type mappings above!")
+
+if __name__ == '__main__':
+    test_problematic_collections() 

inventory-server/chat/package.json

@@ -0,0 +1,20 @@
+{
+  "name": "chat-server",
+  "version": "1.0.0",
+  "description": "Chat archive server for Rocket.Chat data",
+  "main": "server.js",
+  "scripts": {
+    "start": "node server.js",
+    "dev": "nodemon server.js"
+  },
+  "dependencies": {
+    "express": "^4.18.2",
+    "cors": "^2.8.5",
+    "pg": "^8.11.0",
+    "dotenv": "^16.0.3",
+    "morgan": "^1.10.0"
+  },
+  "devDependencies": {
+    "nodemon": "^2.0.22"
+  }
+} 

inventory-server/chat/routes.js

@@ -0,0 +1,649 @@
+const express = require('express');
+const path = require('path');
+const router = express.Router();
+
+// Serve uploaded files with proper mapping from database paths to actual file locations
+router.get('/files/uploads/*', async (req, res) => {
+  try {
+    // Extract the path from the URL (everything after /files/uploads/)
+    const requestPath = req.params[0];
+    
+    // The URL path will be like: ufs/AmazonS3:Uploads/274Mf9CyHNG72oF86/filename.jpg
+    // We need to extract the mongo_id (274Mf9CyHNG72oF86) from this path
+    const pathParts = requestPath.split('/');
+    let mongoId = null;
+    
+    // Find the mongo_id in the path structure
+    for (let i = 0; i < pathParts.length; i++) {
+      if (pathParts[i].includes('AmazonS3:Uploads') && i + 1 < pathParts.length) {
+        mongoId = pathParts[i + 1];
+        break;
+      }
+      // Sometimes the mongo_id might be the last part of ufs/AmazonS3:Uploads/mongoId
+      if (pathParts[i] === 'AmazonS3:Uploads' && i + 1 < pathParts.length) {
+        mongoId = pathParts[i + 1];
+        break;
+      }
+    }
+    
+    if (!mongoId) {
+      // Try to get mongo_id from database by matching the full path
+      const result = await global.pool.query(`
+        SELECT mongo_id, name, type 
+        FROM uploads 
+        WHERE path = $1 OR url = $1
+        LIMIT 1
+      `, [`/ufs/AmazonS3:Uploads/${requestPath}`, `/ufs/AmazonS3:Uploads/${requestPath}`]);
+      
+      if (result.rows.length > 0) {
+        mongoId = result.rows[0].mongo_id;
+      }
+    }
+    
+    if (!mongoId) {
+      return res.status(404).json({ error: 'File not found' });
+    }
+    
+    // The actual file is stored with just the mongo_id as filename
+    const filePath = path.join(__dirname, 'db-convert/db/files/uploads', mongoId);
+    
+    // Get file info from database for proper content-type
+    const fileInfo = await global.pool.query(`
+      SELECT name, type 
+      FROM uploads 
+      WHERE mongo_id = $1
+      LIMIT 1
+    `, [mongoId]);
+    
+    if (fileInfo.rows.length === 0) {
+      return res.status(404).json({ error: 'File metadata not found' });
+    }
+    
+    const { name, type } = fileInfo.rows[0];
+    
+    // Set proper content type
+    if (type) {
+      res.set('Content-Type', type);
+    }
+    
+    // Set content disposition with original filename
+    if (name) {
+      res.set('Content-Disposition', `inline; filename="${name}"`);
+    }
+    
+    // Send the file
+    res.sendFile(filePath, (err) => {
+      if (err) {
+        console.error('Error serving file:', err);
+        if (!res.headersSent) {
+          res.status(404).json({ error: 'File not found on disk' });
+        }
+      }
+    });
+    
+  } catch (error) {
+    console.error('Error serving upload:', error);
+    res.status(500).json({ error: 'Server error' });
+  }
+});
+
+// Also serve files directly by mongo_id for simpler access
+router.get('/files/by-id/:mongoId', async (req, res) => {
+  try {
+    const { mongoId } = req.params;
+    
+    // Get file info from database
+    const fileInfo = await global.pool.query(`
+      SELECT name, type 
+      FROM uploads 
+      WHERE mongo_id = $1
+      LIMIT 1
+    `, [mongoId]);
+    
+    if (fileInfo.rows.length === 0) {
+      return res.status(404).json({ error: 'File not found' });
+    }
+    
+    const { name, type } = fileInfo.rows[0];
+    const filePath = path.join(__dirname, 'db-convert/db/files/uploads', mongoId);
+    
+    // Set proper content type and filename
+    if (type) {
+      res.set('Content-Type', type);
+    }
+    
+    if (name) {
+      res.set('Content-Disposition', `inline; filename="${name}"`);
+    }
+    
+    // Send the file
+    res.sendFile(filePath, (err) => {
+      if (err) {
+        console.error('Error serving file:', err);
+        if (!res.headersSent) {
+          res.status(404).json({ error: 'File not found on disk' });
+        }
+      }
+    });
+    
+  } catch (error) {
+    console.error('Error serving upload by ID:', error);
+    res.status(500).json({ error: 'Server error' });
+  }
+});
+
+// Serve user avatars by mongo_id
+router.get('/avatar/:mongoId', async (req, res) => {
+  try {
+    const { mongoId } = req.params;
+    
+    console.log(`[Avatar Debug] Looking up avatar for user mongo_id: ${mongoId}`);
+    
+    // First try to find avatar by user's avataretag
+    const userResult = await global.pool.query(`
+      SELECT avataretag, username FROM users WHERE mongo_id = $1
+    `, [mongoId]);
+    
+    let avatarPath = null;
+    
+    if (userResult.rows.length > 0) {
+      const username = userResult.rows[0].username;
+      const avataretag = userResult.rows[0].avataretag;
+      
+      // Try method 1: Look up by avataretag -> etag (for users with avataretag set)
+      if (avataretag) {
+        console.log(`[Avatar Debug] Found user ${username} with avataretag: ${avataretag}`);
+        
+        const avatarResult = await global.pool.query(`
+          SELECT url, path FROM avatars WHERE etag = $1
+        `, [avataretag]);
+        
+        if (avatarResult.rows.length > 0) {
+          const dbPath = avatarResult.rows[0].path || avatarResult.rows[0].url;
+          console.log(`[Avatar Debug] Found avatar record with path: ${dbPath}`);
+          
+          if (dbPath) {
+            const pathParts = dbPath.split('/');
+            for (let i = 0; i < pathParts.length; i++) {
+              if (pathParts[i].includes('AmazonS3:Avatars') && i + 1 < pathParts.length) {
+                const avatarMongoId = pathParts[i + 1];
+                avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', avatarMongoId);
+                console.log(`[Avatar Debug] Extracted avatar mongo_id: ${avatarMongoId}, full path: ${avatarPath}`);
+                break;
+              }
+            }
+          }
+        } else {
+          console.log(`[Avatar Debug] No avatar record found for etag: ${avataretag}`);
+        }
+      }
+      
+      // Try method 2: Look up by userid directly (for users without avataretag)
+      if (!avatarPath) {
+        console.log(`[Avatar Debug] Trying direct userid lookup for user ${username} (${mongoId})`);
+        
+        const avatarResult = await global.pool.query(`
+          SELECT url, path FROM avatars WHERE userid = $1
+        `, [mongoId]);
+        
+        if (avatarResult.rows.length > 0) {
+          const dbPath = avatarResult.rows[0].path || avatarResult.rows[0].url;
+          console.log(`[Avatar Debug] Found avatar record by userid with path: ${dbPath}`);
+          
+          if (dbPath) {
+            const pathParts = dbPath.split('/');
+            for (let i = 0; i < pathParts.length; i++) {
+              if (pathParts[i].includes('AmazonS3:Avatars') && i + 1 < pathParts.length) {
+                const avatarMongoId = pathParts[i + 1];
+                avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', avatarMongoId);
+                console.log(`[Avatar Debug] Extracted avatar mongo_id: ${avatarMongoId}, full path: ${avatarPath}`);
+                break;
+              }
+            }
+          }
+        } else {
+          console.log(`[Avatar Debug] No avatar record found for userid: ${mongoId}`);
+        }
+      }
+    } else {
+      console.log(`[Avatar Debug] No user found for mongo_id: ${mongoId}`);
+    }
+    
+    // Fallback: try direct lookup by user mongo_id
+    if (!avatarPath) {
+      avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', mongoId);
+      console.log(`[Avatar Debug] Using fallback path: ${avatarPath}`);
+    }
+    
+    // Set proper content type for images
+    res.set('Content-Type', 'image/jpeg'); // Most avatars are likely JPEG
+    
+    // Send the file
+    res.sendFile(avatarPath, (err) => {
+      if (err) {
+        // If avatar doesn't exist, send a default 404 or generate initials
+        console.log(`[Avatar Debug] Avatar file not found at path: ${avatarPath}, error:`, err.message);
+        if (!res.headersSent) {
+          res.status(404).json({ error: 'Avatar not found' });
+        }
+      } else {
+        console.log(`[Avatar Debug] Successfully served avatar from: ${avatarPath}`);
+      }
+    });
+    
+  } catch (error) {
+    console.error('Error serving avatar:', error);
+    res.status(500).json({ error: 'Server error' });
+  }
+});
+
+// Serve avatars statically as fallback
+router.use('/files/avatars', express.static(path.join(__dirname, 'db-convert/db/files/avatars')));
+
+// Get all users for the "view as" dropdown (active and inactive)
+router.get('/users', async (req, res) => {
+  try {
+    const result = await global.pool.query(`
+      SELECT id, username, name, type, active, status, lastlogin, 
+             statustext, utcoffset, statusconnection, mongo_id, avataretag
+      FROM users 
+      WHERE type = 'user'
+      ORDER BY 
+        active DESC,  -- Active users first
+        CASE 
+          WHEN status = 'online' THEN 1
+          WHEN status = 'away' THEN 2  
+          WHEN status = 'busy' THEN 3
+          ELSE 4
+        END,
+        name ASC
+    `);
+    
+    res.json({
+      status: 'success',
+      users: result.rows
+    });
+  } catch (error) {
+    console.error('Error fetching users:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch users',
+      details: error.message
+    });
+  }
+});
+
+// Get rooms for a specific user with enhanced room names for direct messages
+router.get('/users/:userId/rooms', async (req, res) => {
+  const { userId } = req.params;
+  
+  try {
+    // Get the current user's mongo_id for filtering
+    const userResult = await global.pool.query(`
+      SELECT mongo_id, username FROM users WHERE id = $1
+    `, [userId]);
+    
+    if (userResult.rows.length === 0) {
+      return res.status(404).json({
+        status: 'error',
+        error: 'User not found'
+      });
+    }
+    
+    const currentUserMongoId = userResult.rows[0].mongo_id;
+    const currentUsername = userResult.rows[0].username;
+    
+    // Get rooms where the user is a member with proper naming from subscription table
+    // Include archived and closed rooms but sort them at the bottom
+    const result = await global.pool.query(`
+      SELECT DISTINCT 
+        r.id, 
+        r.mongo_id as room_mongo_id, 
+        r.name, 
+        r.fname, 
+        r.t as type, 
+        r.msgs, 
+        r.lm as last_message_date, 
+        r.usernames, 
+        r.uids,
+        r.userscount,
+        r.description,
+        r.teamid,
+        r.archived,
+        s.open,
+        -- Use the subscription's name for direct messages (excludes current user)
+        -- For channels/groups, use room's fname or name
+        CASE 
+          WHEN r.t = 'd' THEN COALESCE(s.fname, s.name, 'Unknown User')
+          ELSE COALESCE(r.fname, r.name, 'Unnamed Room')
+        END as display_name
+      FROM room r
+      JOIN subscription s ON s.rid = r.mongo_id 
+      WHERE s.u->>'_id' = $1
+      ORDER BY 
+        s.open DESC NULLS LAST,  -- Open rooms first
+        r.archived NULLS FIRST,  -- Non-archived first (nulls treated as false)
+        r.lm DESC NULLS LAST
+      LIMIT 50
+    `, [currentUserMongoId]);
+
+    // Enhance rooms with participant information for direct messages
+    const enhancedRooms = await Promise.all(result.rows.map(async (room) => {
+      if (room.type === 'd' && room.uids) {
+        // Get participant info (excluding current user) for direct messages
+        const participantResult = await global.pool.query(`
+          SELECT u.username, u.name, u.mongo_id, u.avataretag
+          FROM users u 
+          WHERE u.mongo_id = ANY($1::text[])
+          AND u.mongo_id != $2
+        `, [room.uids, currentUserMongoId]);
+        
+        room.participants = participantResult.rows;
+      }
+      return room;
+    }));
+    
+    res.json({
+      status: 'success',
+      rooms: enhancedRooms
+    });
+  } catch (error) {
+    console.error('Error fetching user rooms:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch user rooms',
+      details: error.message
+    });
+  }
+});
+
+// Get room details including participants
+router.get('/rooms/:roomId', async (req, res) => {
+  const { roomId } = req.params;
+  const { userId } = req.query; // Accept current user ID as query parameter
+  
+  try {
+    const result = await global.pool.query(`
+      SELECT r.id, r.name, r.fname, r.t as type, r.msgs, r.description,
+             r.lm as last_message_date, r.usernames, r.uids, r.userscount, r.teamid
+      FROM room r
+      WHERE r.id = $1
+    `, [roomId]);
+    
+    if (result.rows.length === 0) {
+      return res.status(404).json({
+        status: 'error',
+        error: 'Room not found'
+      });
+    }
+    
+    const room = result.rows[0];
+    
+    // For direct messages, get the proper display name based on current user
+    if (room.type === 'd' && room.uids && userId) {
+      // Get current user's mongo_id
+      const userResult = await global.pool.query(`
+        SELECT mongo_id FROM users WHERE id = $1
+      `, [userId]);
+      
+      if (userResult.rows.length > 0) {
+        const currentUserMongoId = userResult.rows[0].mongo_id;
+        
+        // Get display name from subscription table for this user
+        // Use room mongo_id to match with subscription.rid
+        const roomMongoResult = await global.pool.query(`
+          SELECT mongo_id FROM room WHERE id = $1
+        `, [roomId]);
+        
+        if (roomMongoResult.rows.length > 0) {
+          const roomMongoId = roomMongoResult.rows[0].mongo_id;
+          
+          const subscriptionResult = await global.pool.query(`
+            SELECT fname, name FROM subscription 
+            WHERE rid = $1 AND u->>'_id' = $2
+          `, [roomMongoId, currentUserMongoId]);
+          
+          if (subscriptionResult.rows.length > 0) {
+            const sub = subscriptionResult.rows[0];
+            room.display_name = sub.fname || sub.name || 'Unknown User';
+          }
+        }
+      }
+      
+      // Get all participants for additional info
+      const participantResult = await global.pool.query(`
+        SELECT username, name
+        FROM users 
+        WHERE mongo_id = ANY($1::text[])
+      `, [room.uids]);
+      
+      room.participants = participantResult.rows;
+    } else {
+      // For channels/groups, use room's fname or name
+      room.display_name = room.fname || room.name || 'Unnamed Room';
+    }
+    
+    res.json({
+      status: 'success',
+      room: room
+    });
+  } catch (error) {
+    console.error('Error fetching room details:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch room details',
+      details: error.message
+    });
+  }
+});
+
+// Get messages for a specific room (fast, without attachments)
+router.get('/rooms/:roomId/messages', async (req, res) => {
+  const { roomId } = req.params;
+  const { limit = 50, offset = 0, before } = req.query;
+  
+  try {
+    // Fast query - just get messages without expensive attachment joins
+    let query = `
+      SELECT m.id, m.msg, m.ts, m.u, m._updatedat, m.urls, m.mentions, m.md
+      FROM message m
+      JOIN room r ON m.rid = r.mongo_id
+      WHERE r.id = $1
+    `;
+    
+    const params = [roomId];
+    
+    if (before) {
+      query += ` AND m.ts < $${params.length + 1}`;
+      params.push(before);
+    }
+    
+    query += ` ORDER BY m.ts DESC LIMIT $${params.length + 1} OFFSET $${params.length + 2}`;
+    params.push(limit, offset);
+    
+    const result = await global.pool.query(query, params);
+    
+    // Add empty attachments array for now - attachments will be loaded separately if needed
+    const messages = result.rows.map(msg => ({
+      ...msg,
+      attachments: []
+    }));
+    
+    res.json({
+      status: 'success',
+      messages: messages.reverse() // Reverse to show oldest first
+    });
+  } catch (error) {
+    console.error('Error fetching messages:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch messages',
+      details: error.message
+    });
+  }
+});
+
+// Get attachments for specific messages (called separately for performance)
+router.post('/messages/attachments', async (req, res) => {
+  const { messageIds } = req.body;
+  
+  if (!messageIds || !Array.isArray(messageIds) || messageIds.length === 0) {
+    return res.json({ status: 'success', attachments: {} });
+  }
+  
+  try {
+    // Get room mongo_id from first message to limit search scope
+    const roomQuery = await global.pool.query(`
+      SELECT r.mongo_id as room_mongo_id
+      FROM message m
+      JOIN room r ON m.rid = r.mongo_id
+      WHERE m.id = $1
+      LIMIT 1
+    `, [messageIds[0]]);
+    
+    if (roomQuery.rows.length === 0) {
+      return res.json({ status: 'success', attachments: {} });
+    }
+    
+    const roomMongoId = roomQuery.rows[0].room_mongo_id;
+    
+    // Get messages and their upload timestamps
+    const messagesQuery = await global.pool.query(`
+      SELECT m.id, m.ts, m.u->>'_id' as user_id
+      FROM message m
+      WHERE m.id = ANY($1::int[])
+    `, [messageIds]);
+    
+    if (messagesQuery.rows.length === 0) {
+      return res.json({ status: 'success', attachments: {} });
+    }
+    
+    // Build a map of user_id -> array of message timestamps for efficient lookup
+    const userTimeMap = {};
+    const messageMap = {};
+    messagesQuery.rows.forEach(msg => {
+      if (!userTimeMap[msg.user_id]) {
+        userTimeMap[msg.user_id] = [];
+      }
+      userTimeMap[msg.user_id].push(msg.ts);
+      messageMap[msg.id] = { ts: msg.ts, user_id: msg.user_id };
+    });
+    
+    // Get attachments for this room and these users
+    const uploadsQuery = await global.pool.query(`
+      SELECT mongo_id, name, size, type, url, path, typegroup, identify, 
+             userid, uploadedat
+      FROM uploads 
+      WHERE rid = $1 
+      AND userid = ANY($2::text[])
+      ORDER BY uploadedat
+    `, [roomMongoId, Object.keys(userTimeMap)]);
+    
+    // Match attachments to messages based on timestamp proximity (within 5 minutes)
+    const attachmentsByMessage = {};
+    
+    uploadsQuery.rows.forEach(upload => {
+      const uploadTime = new Date(upload.uploadedat).getTime();
+      
+      // Find the closest message from this user within 5 minutes
+      let closestMessageId = null;
+      let closestTimeDiff = Infinity;
+      
+      Object.entries(messageMap).forEach(([msgId, msgData]) => {
+        if (msgData.user_id === upload.userid) {
+          const msgTime = new Date(msgData.ts).getTime();
+          const timeDiff = Math.abs(uploadTime - msgTime);
+          
+          if (timeDiff < 300000 && timeDiff < closestTimeDiff) { // 5 minutes = 300000ms
+            closestMessageId = msgId;
+            closestTimeDiff = timeDiff;
+          }
+        }
+      });
+      
+      if (closestMessageId) {
+        if (!attachmentsByMessage[closestMessageId]) {
+          attachmentsByMessage[closestMessageId] = [];
+        }
+        
+        attachmentsByMessage[closestMessageId].push({
+          id: upload.id,
+          mongo_id: upload.mongo_id,
+          name: upload.name,
+          size: upload.size,
+          type: upload.type,
+          url: upload.url,
+          path: upload.path,
+          typegroup: upload.typegroup,
+          identify: upload.identify
+        });
+      }
+    });
+    
+    res.json({
+      status: 'success',
+      attachments: attachmentsByMessage
+    });
+    
+  } catch (error) {
+    console.error('Error fetching message attachments:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch attachments',
+      details: error.message
+    });
+  }
+});
+
+// Search messages in accessible rooms for a user
+router.get('/users/:userId/search', async (req, res) => {
+  const { userId } = req.params;
+  const { q, limit = 20 } = req.query;
+  
+  if (!q || q.length < 2) {
+    return res.status(400).json({
+      status: 'error',
+      error: 'Search query must be at least 2 characters'
+    });
+  }
+  
+  try {
+    const userResult = await global.pool.query(`
+      SELECT mongo_id FROM users WHERE id = $1
+    `, [userId]);
+    
+    if (userResult.rows.length === 0) {
+      return res.status(404).json({
+        status: 'error',
+        error: 'User not found'
+      });
+    }
+    
+    const currentUserMongoId = userResult.rows[0].mongo_id;
+    
+    const result = await global.pool.query(`
+      SELECT m.id, m.msg, m.ts, m.u, r.id as room_id, r.name as room_name, r.fname as room_fname, r.t as room_type
+      FROM message m
+      JOIN room r ON m.rid = r.mongo_id
+      JOIN subscription s ON s.rid = r.mongo_id AND s.u->>'_id' = $1
+      WHERE m.msg ILIKE $2
+      AND r.archived IS NOT TRUE
+      ORDER BY m.ts DESC
+      LIMIT $3
+    `, [currentUserMongoId, `%${q}%`, limit]);
+    
+    res.json({
+      status: 'success',
+      results: result.rows
+    });
+  } catch (error) {
+    console.error('Error searching messages:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to search messages',
+      details: error.message
+    });
+  }
+});
+
+module.exports = router; 

inventory-server/chat/server.js

@@ -0,0 +1,83 @@
+require('dotenv').config({ path: '../.env' });
+const express = require('express');
+const cors = require('cors');
+const { Pool } = require('pg');
+const morgan = require('morgan');
+const chatRoutes = require('./routes');
+
+// Log startup configuration
+console.log('Starting chat server with config:', {
+  host: process.env.CHAT_DB_HOST,
+  user: process.env.CHAT_DB_USER,
+  database: process.env.CHAT_DB_NAME || 'rocketchat_converted',
+  port: process.env.CHAT_DB_PORT,
+  chat_port: process.env.CHAT_PORT || 3014
+});
+
+const app = express();
+const port = process.env.CHAT_PORT || 3014;
+
+// Database configuration for rocketchat_converted database
+const pool = new Pool({
+  host: process.env.CHAT_DB_HOST,
+  user: process.env.CHAT_DB_USER,
+  password: process.env.CHAT_DB_PASSWORD,
+  database: process.env.CHAT_DB_NAME || 'rocketchat_converted',
+  port: process.env.CHAT_DB_PORT,
+});
+
+// Make pool available globally
+global.pool = pool;
+
+// Middleware
+app.use(express.json());
+app.use(morgan('combined'));
+app.use(cors({
+  origin: ['http://localhost:5175', 'http://localhost:5174', 'https://inventory.kent.pw'],
+  credentials: true
+}));
+
+// Test database connection endpoint
+app.get('/test-db', async (req, res) => {
+  try {
+    const result = await pool.query('SELECT COUNT(*) as user_count FROM users WHERE active = true');
+    const messageResult = await pool.query('SELECT COUNT(*) as message_count FROM message');
+    const roomResult = await pool.query('SELECT COUNT(*) as room_count FROM room');
+    
+    res.json({
+      status: 'success',
+      database: 'rocketchat_converted',
+      stats: {
+        active_users: parseInt(result.rows[0].user_count),
+        total_messages: parseInt(messageResult.rows[0].message_count),
+        total_rooms: parseInt(roomResult.rows[0].room_count)
+      }
+    });
+  } catch (error) {
+    console.error('Database test error:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Database connection failed',
+      details: error.message
+    });
+  }
+});
+
+// Mount all routes from routes.js
+app.use('/', chatRoutes);
+
+// Health check endpoint
+app.get('/health', (req, res) => {
+  res.json({ status: 'healthy' });
+});
+
+// Error handling middleware
+app.use((err, req, res, next) => {
+  console.error(err.stack);
+  res.status(500).json({ error: 'Something broke!' });
+});
+
+// Start server
+app.listen(port, () => {
+  console.log(`Chat server running on port ${port}`);
+}); 

inventory-server/db/config-schema-new.sql

@@ -0,0 +1,196 @@
+-- Create function for updating timestamps if it doesn't exist
+CREATE OR REPLACE FUNCTION update_updated_column()
+RETURNS TRIGGER AS $$
+BEGIN
+    NEW.updated = CURRENT_TIMESTAMP;
+    RETURN NEW;
+END;
+$$ language 'plpgsql';
+
+-- Create function for updating updated_at timestamps
+CREATE OR REPLACE FUNCTION update_updated_at_column()
+RETURNS TRIGGER AS $$
+BEGIN
+    NEW.updated_at = CURRENT_TIMESTAMP;
+    RETURN NEW;
+END;
+$$ language 'plpgsql';
+
+-- Drop tables in reverse order of dependency
+DROP TABLE IF EXISTS public.settings_product CASCADE;
+DROP TABLE IF EXISTS public.settings_vendor CASCADE;
+DROP TABLE IF EXISTS public.settings_global CASCADE;
+
+-- Table Definition: settings_global
+CREATE TABLE public.settings_global (
+    setting_key VARCHAR PRIMARY KEY,
+    setting_value VARCHAR NOT NULL,
+    description TEXT,
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+
+-- Table Definition: settings_vendor
+CREATE TABLE public.settings_vendor (
+    vendor VARCHAR PRIMARY KEY, -- Matches products.vendor
+    default_lead_time_days INT,
+    default_days_of_stock INT,
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+-- Index for faster lookups if needed (PK usually sufficient)
+-- CREATE INDEX idx_settings_vendor_vendor ON public.settings_vendor(vendor);
+
+-- Table Definition: settings_product
+CREATE TABLE public.settings_product (
+    pid INT8 PRIMARY KEY,
+    lead_time_days INT, -- Overrides vendor/global
+    days_of_stock INT, -- Overrides vendor/global
+    safety_stock INT DEFAULT 0, -- Minimum desired stock level
+    forecast_method VARCHAR DEFAULT 'standard', -- e.g., 'standard', 'seasonal'
+    exclude_from_forecast BOOLEAN DEFAULT FALSE,
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    CONSTRAINT fk_settings_product_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE
+);
+
+
+-- Description: Inserts or updates standard default global settings.
+--              Safe to rerun; will update existing keys with these default values.
+-- Dependencies: `settings_global` table must exist.
+-- Frequency: Run once initially, or rerun if you want to reset global defaults.
+
+INSERT INTO public.settings_global (setting_key, setting_value, description) VALUES
+    ('abc_revenue_threshold_a', '0.80', 'Revenue percentage for Class A (cumulative)'),
+    ('abc_revenue_threshold_b', '0.95', 'Revenue percentage for Class B (cumulative)'),
+    ('abc_calculation_basis', 'revenue_30d', 'Metric for ABC calc (revenue_30d, sales_30d, lifetime_revenue)'),
+    ('abc_calculation_period', '30', 'Days period for ABC calculation if not lifetime'),
+    ('default_forecast_method', 'standard', 'Default forecast method (standard, seasonal)'),
+    ('default_lead_time_days', '14', 'Global default lead time in days'),
+    ('default_days_of_stock', '30', 'Global default days of stock coverage target'),
+    -- Set default safety stock to 0 units. Can be overridden per product.
+    -- If you wanted safety stock in days, you'd store 'days' here and calculate units later.
+    ('default_safety_stock_units', '0', 'Global default safety stock in units')
+ON CONFLICT (setting_key) DO UPDATE SET
+    setting_value = EXCLUDED.setting_value,
+    description = EXCLUDED.description,
+    updated_at = CURRENT_TIMESTAMP; -- Update timestamp if default value changes
+
+
+      
+-- Description: Creates placeholder rows in `settings_vendor` for each unique vendor
+--              found in the `products` table. Does NOT set specific overrides.
+--              Safe to rerun; will NOT overwrite existing vendor settings.
+-- Dependencies: `settings_vendor` table must exist, `products` table populated.
+-- Frequency: Run once after initial product load, or periodically if new vendors are added.
+
+INSERT INTO public.settings_vendor (
+    vendor,
+    default_lead_time_days,
+    default_days_of_stock
+    -- updated_at will use its default CURRENT_TIMESTAMP on insert
+)
+SELECT
+    DISTINCT p.vendor,
+    -- Explicitly cast NULL to INTEGER to resolve type mismatch
+    CAST(NULL AS INTEGER),
+    CAST(NULL AS INTEGER)
+FROM
+    public.products p
+WHERE
+    p.vendor IS NOT NULL
+    AND p.vendor <> '' -- Exclude blank vendors if necessary
+
+ON CONFLICT (vendor) DO NOTHING; -- IMPORTANT: Do not overwrite existing vendor settings
+
+SELECT COUNT(*) FROM public.settings_vendor; -- Verify rows were inserted
+
+      
+-- Description: Creates placeholder rows in `settings_product` for each unique product
+--              found in the `products` table. Sets basic defaults but no specific overrides.
+--              Safe to rerun; will NOT overwrite existing product settings.
+-- Dependencies: `settings_product` table must exist, `products` table populated.
+-- Frequency: Run once after initial product load, or periodically if new products are added.
+
+INSERT INTO public.settings_product (
+    pid,
+    lead_time_days,         -- NULL = Inherit from Vendor/Global
+    days_of_stock,          -- NULL = Inherit from Vendor/Global
+    safety_stock,           -- Default to 0 units initially
+    forecast_method,        -- NULL = Inherit from Global ('standard')
+    exclude_from_forecast   -- Default to FALSE
+    -- updated_at will use its default CURRENT_TIMESTAMP on insert
+)
+SELECT
+    p.pid,
+    CAST(NULL AS INTEGER),  -- Explicitly cast NULL to INTEGER
+    CAST(NULL AS INTEGER),  -- Explicitly cast NULL to INTEGER
+    COALESCE((SELECT setting_value::int FROM settings_global WHERE setting_key = 'default_safety_stock_units'), 0), -- Use global default safety stock units
+    CAST(NULL AS VARCHAR), -- Cast NULL to VARCHAR for forecast_method (already varchar, but explicit)
+    FALSE  -- Default: Include in forecast
+FROM
+    public.products p
+
+ON CONFLICT (pid) DO NOTHING; -- IMPORTANT: Do not overwrite existing product-specific settings
+
+
+-- History and status tables
+CREATE TABLE IF NOT EXISTS calculate_history (
+    id BIGSERIAL PRIMARY KEY,
+    start_time TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    end_time TIMESTAMP WITH TIME ZONE NULL,
+    duration_seconds INTEGER,
+    duration_minutes DECIMAL(10,2) GENERATED ALWAYS AS (duration_seconds::decimal / 60.0) STORED,
+    total_products INTEGER DEFAULT 0,
+    total_orders INTEGER DEFAULT 0,
+    total_purchase_orders INTEGER DEFAULT 0,
+    processed_products INTEGER DEFAULT 0,
+    processed_orders INTEGER DEFAULT 0,
+    processed_purchase_orders INTEGER DEFAULT 0,
+    status calculation_status DEFAULT 'running',
+    error_message TEXT,
+    additional_info JSONB
+);
+
+CREATE TABLE IF NOT EXISTS calculate_status (
+    module_name text PRIMARY KEY,
+    last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE TABLE IF NOT EXISTS sync_status (
+    table_name TEXT PRIMARY KEY,
+    last_sync_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    last_sync_id BIGINT
+);
+
+CREATE TABLE IF NOT EXISTS import_history (
+    id BIGSERIAL PRIMARY KEY,
+    table_name VARCHAR(50) NOT NULL,
+    start_time TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    end_time TIMESTAMP WITH TIME ZONE NULL,
+    duration_seconds INTEGER,
+    duration_minutes DECIMAL(10,2) GENERATED ALWAYS AS (duration_seconds::decimal / 60.0) STORED,
+    records_added INTEGER DEFAULT 0,
+    records_updated INTEGER DEFAULT 0,
+    records_deleted INTEGER DEFAULT 0,
+    records_skipped INTEGER DEFAULT 0,
+    total_processed INTEGER DEFAULT 0,
+    is_incremental BOOLEAN DEFAULT FALSE,
+    status calculation_status DEFAULT 'running',
+    error_message TEXT,
+    additional_info JSONB
+);
+
+-- Create all indexes after tables are fully created
+CREATE INDEX IF NOT EXISTS idx_last_calc ON calculate_status(last_calculation_timestamp);
+CREATE INDEX IF NOT EXISTS idx_last_sync ON sync_status(last_sync_timestamp);
+CREATE INDEX IF NOT EXISTS idx_table_time ON import_history(table_name, start_time);
+CREATE INDEX IF NOT EXISTS idx_import_history_status ON import_history(status);
+CREATE INDEX IF NOT EXISTS idx_calculate_history_status ON calculate_history(status);
+
+-- Add comments for documentation
+COMMENT ON TABLE import_history IS 'Tracks history of data import operations with detailed statistics';
+COMMENT ON COLUMN import_history.records_deleted IS 'Number of records deleted during this import';
+COMMENT ON COLUMN import_history.records_skipped IS 'Number of records skipped (e.g., unchanged, invalid)';
+COMMENT ON COLUMN import_history.total_processed IS 'Total number of records examined/processed, including skipped';
+
+COMMENT ON TABLE calculate_history IS 'Tracks history of metrics calculation runs with performance data';
+COMMENT ON COLUMN calculate_history.duration_seconds IS 'Total duration of the calculation in seconds';
+COMMENT ON COLUMN calculate_history.additional_info IS 'JSON object containing step timings, row counts, and other detailed metrics'; 

inventory-server/db/config-schema.sql

@@ -1,278 +0,0 @@
--- Configuration tables schema
-
--- Create function for updating timestamps if it doesn't exist
-CREATE OR REPLACE FUNCTION update_updated_column()
-RETURNS TRIGGER AS $$
-BEGIN
-    NEW.updated = CURRENT_TIMESTAMP;
-    RETURN NEW;
-END;
-$$ language 'plpgsql';
-
--- Create function for updating updated_at timestamps
-CREATE OR REPLACE FUNCTION update_updated_at_column()
-RETURNS TRIGGER AS $$
-BEGIN
-    NEW.updated_at = CURRENT_TIMESTAMP;
-    RETURN NEW;
-END;
-$$ language 'plpgsql';
-
--- Stock threshold configurations
-CREATE TABLE stock_thresholds (
-    id INTEGER NOT NULL,
-    category_id BIGINT,  -- NULL means default/global threshold
-    vendor VARCHAR(100), -- NULL means applies to all vendors
-    critical_days INTEGER NOT NULL DEFAULT 7,
-    reorder_days INTEGER NOT NULL DEFAULT 14,
-    overstock_days INTEGER NOT NULL DEFAULT 90,
-    low_stock_threshold INTEGER NOT NULL DEFAULT 5,
-    min_reorder_quantity INTEGER NOT NULL DEFAULT 1,
-    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    PRIMARY KEY (id),
-    FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE (category_id, vendor)
-);
-
-CREATE TRIGGER update_stock_thresholds_updated
-    BEFORE UPDATE ON stock_thresholds
-    FOR EACH ROW
-    EXECUTE FUNCTION update_updated_at_column();
-
-CREATE INDEX idx_st_metrics ON stock_thresholds(category_id, vendor);
-
--- Lead time threshold configurations
-CREATE TABLE lead_time_thresholds (
-    id INTEGER NOT NULL,
-    category_id BIGINT,  -- NULL means default/global threshold
-    vendor VARCHAR(100), -- NULL means applies to all vendors
-    target_days INTEGER NOT NULL DEFAULT 14,
-    warning_days INTEGER NOT NULL DEFAULT 21,
-    critical_days INTEGER NOT NULL DEFAULT 30,
-    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    PRIMARY KEY (id),
-    FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE (category_id, vendor)
-);
-
-CREATE TRIGGER update_lead_time_thresholds_updated
-    BEFORE UPDATE ON lead_time_thresholds
-    FOR EACH ROW
-    EXECUTE FUNCTION update_updated_at_column();
-
--- Sales velocity window configurations
-CREATE TABLE sales_velocity_config (
-    id INTEGER NOT NULL,
-    category_id BIGINT,  -- NULL means default/global threshold
-    vendor VARCHAR(100), -- NULL means applies to all vendors
-    daily_window_days INTEGER NOT NULL DEFAULT 30,
-    weekly_window_days INTEGER NOT NULL DEFAULT 7,
-    monthly_window_days INTEGER NOT NULL DEFAULT 90,
-    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    PRIMARY KEY (id),
-    FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE (category_id, vendor)
-);
-
-CREATE TRIGGER update_sales_velocity_config_updated
-    BEFORE UPDATE ON sales_velocity_config
-    FOR EACH ROW
-    EXECUTE FUNCTION update_updated_at_column();
-
-CREATE INDEX idx_sv_metrics ON sales_velocity_config(category_id, vendor);
-
--- ABC Classification configurations
-CREATE TABLE abc_classification_config (
-    id INTEGER NOT NULL PRIMARY KEY,
-    a_threshold DECIMAL(5,2) NOT NULL DEFAULT 20.0,
-    b_threshold DECIMAL(5,2) NOT NULL DEFAULT 50.0,
-    classification_period_days INTEGER NOT NULL DEFAULT 90,
-    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
-);
-
-CREATE TRIGGER update_abc_classification_config_updated
-    BEFORE UPDATE ON abc_classification_config
-    FOR EACH ROW
-    EXECUTE FUNCTION update_updated_at_column();
-
--- Safety stock configurations
-CREATE TABLE safety_stock_config (
-    id INTEGER NOT NULL,
-    category_id BIGINT,  -- NULL means default/global threshold
-    vendor VARCHAR(100), -- NULL means applies to all vendors
-    coverage_days INTEGER NOT NULL DEFAULT 14,
-    service_level DECIMAL(5,2) NOT NULL DEFAULT 95.0,
-    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    PRIMARY KEY (id),
-    FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE (category_id, vendor)
-);
-
-CREATE TRIGGER update_safety_stock_config_updated
-    BEFORE UPDATE ON safety_stock_config
-    FOR EACH ROW
-    EXECUTE FUNCTION update_updated_at_column();
-
-CREATE INDEX idx_ss_metrics ON safety_stock_config(category_id, vendor);
-
--- Turnover rate configurations
-CREATE TABLE turnover_config (
-    id INTEGER NOT NULL,
-    category_id BIGINT,  -- NULL means default/global threshold
-    vendor VARCHAR(100), -- NULL means applies to all vendors
-    calculation_period_days INTEGER NOT NULL DEFAULT 30,
-    target_rate DECIMAL(10,2) NOT NULL DEFAULT 1.0,
-    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    PRIMARY KEY (id),
-    FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE (category_id, vendor)
-);
-
-CREATE TRIGGER update_turnover_config_updated
-    BEFORE UPDATE ON turnover_config
-    FOR EACH ROW
-    EXECUTE FUNCTION update_updated_at_column();
-
--- Create table for sales seasonality factors
-CREATE TABLE sales_seasonality (
-    month INTEGER NOT NULL,
-    seasonality_factor DECIMAL(5,3) DEFAULT 0,
-    last_updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    PRIMARY KEY (month),
-    CONSTRAINT month_range CHECK (month BETWEEN 1 AND 12),
-    CONSTRAINT seasonality_range CHECK (seasonality_factor BETWEEN -1.0 AND 1.0)
-);
-
-CREATE TRIGGER update_sales_seasonality_updated
-    BEFORE UPDATE ON sales_seasonality
-    FOR EACH ROW
-    EXECUTE FUNCTION update_updated_at_column();
-
--- Insert default global thresholds
-INSERT INTO stock_thresholds (id, category_id, vendor, critical_days, reorder_days, overstock_days)
-VALUES (1, NULL, NULL, 7, 14, 90)
-ON CONFLICT (id) DO UPDATE SET
-    critical_days = EXCLUDED.critical_days,
-    reorder_days = EXCLUDED.reorder_days,
-    overstock_days = EXCLUDED.overstock_days;
-
-INSERT INTO lead_time_thresholds (id, category_id, vendor, target_days, warning_days, critical_days)
-VALUES (1, NULL, NULL, 14, 21, 30)
-ON CONFLICT (id) DO UPDATE SET
-    target_days = EXCLUDED.target_days,
-    warning_days = EXCLUDED.warning_days,
-    critical_days = EXCLUDED.critical_days;
-
-INSERT INTO sales_velocity_config (id, category_id, vendor, daily_window_days, weekly_window_days, monthly_window_days)
-VALUES (1, NULL, NULL, 30, 7, 90)
-ON CONFLICT (id) DO UPDATE SET
-    daily_window_days = EXCLUDED.daily_window_days,
-    weekly_window_days = EXCLUDED.weekly_window_days,
-    monthly_window_days = EXCLUDED.monthly_window_days;
-
-INSERT INTO abc_classification_config (id, a_threshold, b_threshold, classification_period_days)
-VALUES (1, 20.0, 50.0, 90)
-ON CONFLICT (id) DO UPDATE SET
-    a_threshold = EXCLUDED.a_threshold,
-    b_threshold = EXCLUDED.b_threshold,
-    classification_period_days = EXCLUDED.classification_period_days;
-
-INSERT INTO safety_stock_config (id, category_id, vendor, coverage_days, service_level)
-VALUES (1, NULL, NULL, 14, 95.0)
-ON CONFLICT (id) DO UPDATE SET
-    coverage_days = EXCLUDED.coverage_days,
-    service_level = EXCLUDED.service_level;
-
-INSERT INTO turnover_config (id, category_id, vendor, calculation_period_days, target_rate)
-VALUES (1, NULL, NULL, 30, 1.0)
-ON CONFLICT (id) DO UPDATE SET
-    calculation_period_days = EXCLUDED.calculation_period_days,
-    target_rate = EXCLUDED.target_rate;
-
--- Insert default seasonality factors (neutral)
-INSERT INTO sales_seasonality (month, seasonality_factor)
-VALUES 
-    (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0),
-    (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0)
-ON CONFLICT (month) DO UPDATE SET
-    last_updated = CURRENT_TIMESTAMP;
-
--- View to show thresholds with category names
-CREATE OR REPLACE VIEW stock_thresholds_view AS
-SELECT 
-    st.*,
-    c.name as category_name,
-    CASE 
-        WHEN st.category_id IS NULL AND st.vendor IS NULL THEN 'Global Default'
-        WHEN st.category_id IS NULL THEN 'Vendor: ' || st.vendor
-        WHEN st.vendor IS NULL THEN 'Category: ' || c.name
-        ELSE 'Category: ' || c.name || ' / Vendor: ' || st.vendor
-    END as threshold_scope
-FROM 
-    stock_thresholds st
-LEFT JOIN 
-    categories c ON st.category_id = c.cat_id
-ORDER BY 
-    CASE 
-        WHEN st.category_id IS NULL AND st.vendor IS NULL THEN 1
-        WHEN st.category_id IS NULL THEN 2
-        WHEN st.vendor IS NULL THEN 3
-        ELSE 4
-    END,
-    c.name,
-    st.vendor;
-
--- History and status tables
-CREATE TABLE IF NOT EXISTS calculate_history (
-    id BIGSERIAL PRIMARY KEY,
-    start_time TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    end_time TIMESTAMP WITH TIME ZONE NULL,
-    duration_seconds INTEGER,
-    duration_minutes DECIMAL(10,2) GENERATED ALWAYS AS (duration_seconds::decimal / 60.0) STORED,
-    total_products INTEGER DEFAULT 0,
-    total_orders INTEGER DEFAULT 0,
-    total_purchase_orders INTEGER DEFAULT 0,
-    processed_products INTEGER DEFAULT 0,
-    processed_orders INTEGER DEFAULT 0,
-    processed_purchase_orders INTEGER DEFAULT 0,
-    status calculation_status DEFAULT 'running',
-    error_message TEXT,
-    additional_info JSONB
-);
-
-CREATE TABLE IF NOT EXISTS calculate_status (
-    module_name module_name PRIMARY KEY,
-    last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
-);
-
-CREATE TABLE IF NOT EXISTS sync_status (
-    table_name VARCHAR(50) PRIMARY KEY,
-    last_sync_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    last_sync_id BIGINT
-);
-
-CREATE TABLE IF NOT EXISTS import_history (
-    id BIGSERIAL PRIMARY KEY,
-    table_name VARCHAR(50) NOT NULL,
-    start_time TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    end_time TIMESTAMP WITH TIME ZONE NULL,
-    duration_seconds INTEGER,
-    duration_minutes DECIMAL(10,2) GENERATED ALWAYS AS (duration_seconds::decimal / 60.0) STORED,
-    records_added INTEGER DEFAULT 0,
-    records_updated INTEGER DEFAULT 0,
-    is_incremental BOOLEAN DEFAULT FALSE,
-    status calculation_status DEFAULT 'running',
-    error_message TEXT,
-    additional_info JSONB
-);
-
--- Create all indexes after tables are fully created
-CREATE INDEX IF NOT EXISTS idx_last_calc ON calculate_status(last_calculation_timestamp);
-CREATE INDEX IF NOT EXISTS idx_last_sync ON sync_status(last_sync_timestamp);
-CREATE INDEX IF NOT EXISTS idx_table_time ON import_history(table_name, start_time); 

inventory-server/db/metrics-schema-new.sql

@@ -0,0 +1,344 @@
+-- Drop tables in reverse order of dependency
+DROP TABLE IF EXISTS public.product_metrics CASCADE;
+DROP TABLE IF EXISTS public.daily_product_snapshots CASCADE;
+
+-- Table Definition: daily_product_snapshots
+CREATE TABLE public.daily_product_snapshots (
+    snapshot_date DATE NOT NULL,
+    pid INT8 NOT NULL,
+    sku VARCHAR, -- Copied for convenience
+
+    -- Inventory Metrics (End of Day / Last Snapshot of Day)
+    eod_stock_quantity INT NOT NULL DEFAULT 0,
+    eod_stock_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- Increased precision
+    eod_stock_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    eod_stock_gross NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    stockout_flag BOOLEAN NOT NULL DEFAULT FALSE,
+
+    -- Sales Metrics (Aggregated for the snapshot_date)
+    units_sold INT NOT NULL DEFAULT 0,
+    units_returned INT NOT NULL DEFAULT 0,
+    gross_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    discounts NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    returns_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    net_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- gross_revenue - discounts
+    cogs NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    gross_regular_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    profit NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- net_revenue - cogs
+
+    -- Receiving Metrics (Aggregated for the snapshot_date)
+    units_received INT NOT NULL DEFAULT 0,
+    cost_received NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+
+    calculation_timestamp TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
+
+    PRIMARY KEY (snapshot_date, pid) -- Composite primary key
+    -- CONSTRAINT fk_daily_snapshot_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE -- FK Optional on snapshot table
+);
+
+-- Add Indexes for daily_product_snapshots
+CREATE INDEX idx_daily_snapshot_pid_date ON public.daily_product_snapshots(pid, snapshot_date); -- Useful for product-specific time series
+
+
+-- Table Definition: product_metrics
+CREATE TABLE public.product_metrics (
+    pid INT8 PRIMARY KEY,
+    last_calculated TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
+
+    -- Product Info (Copied for convenience/performance)
+    sku VARCHAR,
+    title VARCHAR,
+    brand VARCHAR,
+    vendor VARCHAR,
+    image_url VARCHAR, -- (e.g., products.image_175)
+    is_visible BOOLEAN,
+    is_replenishable BOOLEAN,
+    
+    -- Additional product fields
+    barcode VARCHAR,
+    harmonized_tariff_code VARCHAR,
+    vendor_reference VARCHAR,
+    notions_reference VARCHAR,
+    line VARCHAR,
+    subline VARCHAR,
+    artist VARCHAR,
+    moq INT,
+    rating NUMERIC(10, 2),
+    reviews INT,
+    weight NUMERIC(14, 4),
+    length NUMERIC(14, 4),
+    width NUMERIC(14, 4),
+    height NUMERIC(14, 4),
+    country_of_origin VARCHAR,
+    location VARCHAR,
+    baskets INT,
+    notifies INT,
+    preorder_count INT,
+    notions_inv_count INT,
+
+    -- Current Status (Refreshed Hourly)
+    current_price NUMERIC(10, 2),
+    current_regular_price NUMERIC(10, 2),
+    current_cost_price NUMERIC(10, 4), -- Increased precision for cost
+    current_landing_cost_price NUMERIC(10, 4), -- Increased precision for cost
+    current_stock INT NOT NULL DEFAULT 0,
+    current_stock_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    current_stock_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    current_stock_gross NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    on_order_qty INT NOT NULL DEFAULT 0,
+    on_order_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    on_order_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
+    earliest_expected_date DATE,
+    -- total_received_lifetime INT NOT NULL DEFAULT 0, -- Can calc if needed
+
+    -- Historical Dates (Calculated Once/Periodically)
+    date_created DATE,
+    date_first_received DATE,
+    date_last_received DATE,
+    date_first_sold DATE,
+    date_last_sold DATE,
+    age_days INT, -- Calculated based on LEAST(date_created, date_first_sold)
+
+    -- Rolling Period Metrics (Refreshed Hourly from daily_product_snapshots)
+    sales_7d INT, revenue_7d NUMERIC(14, 4),
+    sales_14d INT, revenue_14d NUMERIC(14, 4),
+    sales_30d INT, revenue_30d NUMERIC(14, 4),
+    cogs_30d NUMERIC(14, 4), profit_30d NUMERIC(14, 4),
+    returns_units_30d INT, returns_revenue_30d NUMERIC(14, 4),
+    discounts_30d NUMERIC(14, 4),
+    gross_revenue_30d NUMERIC(14, 4), gross_regular_revenue_30d NUMERIC(14, 4),
+    stockout_days_30d INT,
+    sales_365d INT, revenue_365d NUMERIC(14, 4),
+    avg_stock_units_30d NUMERIC(10, 2), avg_stock_cost_30d NUMERIC(14, 4),
+    avg_stock_retail_30d NUMERIC(14, 4), avg_stock_gross_30d NUMERIC(14, 4),
+    received_qty_30d INT, received_cost_30d NUMERIC(14, 4),
+
+    -- Lifetime Metrics (Recalculated Hourly/Daily from daily_product_snapshots)
+    lifetime_sales INT,
+    lifetime_revenue NUMERIC(16, 4),
+    lifetime_revenue_quality VARCHAR(10), -- 'exact', 'partial', 'estimated'
+
+    -- First Period Metrics (Calculated Once/Periodically from daily_product_snapshots)
+    first_7_days_sales INT, first_7_days_revenue NUMERIC(14, 4),
+    first_30_days_sales INT, first_30_days_revenue NUMERIC(14, 4),
+    first_60_days_sales INT, first_60_days_revenue NUMERIC(14, 4),
+    first_90_days_sales INT, first_90_days_revenue NUMERIC(14, 4),
+
+    -- Calculated KPIs (Refreshed Hourly based on rolling metrics)
+    asp_30d NUMERIC(10, 2), -- revenue_30d / sales_30d
+    acp_30d NUMERIC(10, 4), -- cogs_30d / sales_30d
+    avg_ros_30d NUMERIC(10, 4), -- profit_30d / sales_30d
+    avg_sales_per_day_30d NUMERIC(10, 2), -- sales_30d / 30.0
+    avg_sales_per_month_30d NUMERIC(10, 2), -- sales_30d (assuming 30d = 1 month for this metric)
+    margin_30d NUMERIC(8, 2), -- (profit_30d / revenue_30d) * 100
+    markup_30d NUMERIC(8, 2), -- (profit_30d / cogs_30d) * 100
+    gmroi_30d NUMERIC(10, 2), -- profit_30d / avg_stock_cost_30d
+    stockturn_30d NUMERIC(10, 2), -- sales_30d / avg_stock_units_30d
+    return_rate_30d NUMERIC(8, 2), -- returns_units_30d / (sales_30d + returns_units_30d) * 100
+    discount_rate_30d NUMERIC(8, 2), -- discounts_30d / gross_revenue_30d * 100
+    stockout_rate_30d NUMERIC(8, 2), -- stockout_days_30d / 30.0 * 100
+    markdown_30d NUMERIC(14, 4), -- gross_regular_revenue_30d - gross_revenue_30d
+    markdown_rate_30d NUMERIC(8, 2), -- markdown_30d / gross_regular_revenue_30d * 100
+    sell_through_30d NUMERIC(8, 2), -- sales_30d / (current_stock + sales_30d) * 100
+    avg_lead_time_days INT, -- Calculated Periodically from purchase_orders
+
+    -- Forecasting & Replenishment (Refreshed Hourly)
+    abc_class CHAR(1), -- Updated Periodically (e.g., Weekly)
+    sales_velocity_daily NUMERIC(10, 4), -- sales_30d / (30.0 - stockout_days_30d)
+    config_lead_time INT, -- From settings tables
+    config_days_of_stock INT, -- From settings tables
+    config_safety_stock INT, -- From settings_product
+    planning_period_days INT, -- config_lead_time + config_days_of_stock
+    lead_time_forecast_units NUMERIC(10, 2), -- sales_velocity_daily * config_lead_time
+    days_of_stock_forecast_units NUMERIC(10, 2), -- sales_velocity_daily * config_days_of_stock
+    planning_period_forecast_units NUMERIC(10, 2), -- lead_time_forecast_units + days_of_stock_forecast_units
+    lead_time_closing_stock NUMERIC(10, 2), -- current_stock + on_order_qty - lead_time_forecast_units
+    days_of_stock_closing_stock NUMERIC(10, 2), -- lead_time_closing_stock - days_of_stock_forecast_units
+    replenishment_needed_raw NUMERIC(10, 2), -- planning_period_forecast_units + config_safety_stock - current_stock - on_order_qty
+    replenishment_units INT, -- CEILING(GREATEST(0, replenishment_needed_raw))
+    replenishment_cost NUMERIC(14, 4), -- replenishment_units * COALESCE(current_landing_cost_price, current_cost_price)
+    replenishment_retail NUMERIC(14, 4), -- replenishment_units * current_price
+    replenishment_profit NUMERIC(14, 4), -- replenishment_units * (current_price - COALESCE(current_landing_cost_price, current_cost_price))
+    to_order_units INT, -- Apply MOQ/UOM logic to replenishment_units
+    forecast_lost_sales_units NUMERIC(10, 2), -- GREATEST(0, -lead_time_closing_stock)
+    forecast_lost_revenue NUMERIC(14, 4), -- forecast_lost_sales_units * current_price
+    stock_cover_in_days NUMERIC(10, 1), -- current_stock / sales_velocity_daily
+    po_cover_in_days NUMERIC(10, 1), -- on_order_qty / sales_velocity_daily
+    sells_out_in_days NUMERIC(10, 1), -- (current_stock + on_order_qty) / sales_velocity_daily
+    replenish_date DATE, -- Calc based on when stock hits safety stock minus lead time
+    overstocked_units INT, -- GREATEST(0, current_stock - config_safety_stock - planning_period_forecast_units)
+    overstocked_cost NUMERIC(14, 4), -- overstocked_units * COALESCE(current_landing_cost_price, current_cost_price)
+    overstocked_retail NUMERIC(14, 4), -- overstocked_units * current_price
+    is_old_stock BOOLEAN, -- Based on age, last sold, last received, on_order status
+
+    -- Yesterday's Metrics (Refreshed Hourly from daily_product_snapshots)
+    yesterday_sales INT,
+
+    -- Product Status (Calculated from metrics)
+    status VARCHAR, -- Stores status values like: Critical, Reorder Soon, Healthy, Overstock, At Risk, New
+
+    -- Growth Metrics (P3)
+    sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth current 30d vs prev 30d
+    revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth current 30d vs prev 30d
+    sales_growth_yoy NUMERIC(10, 2), -- Year-over-year sales growth %
+    revenue_growth_yoy NUMERIC(10, 2), -- Year-over-year revenue growth %
+
+    -- Demand Variability Metrics (P3)
+    sales_variance_30d NUMERIC(10, 2), -- Variance of daily sales
+    sales_std_dev_30d NUMERIC(10, 2), -- Standard deviation of daily sales
+    sales_cv_30d NUMERIC(10, 2), -- Coefficient of variation
+    demand_pattern VARCHAR(20), -- 'stable', 'variable', 'sporadic', 'lumpy'
+
+    -- Service Level & Fill Rate (P5)
+    fill_rate_30d NUMERIC(8, 2), -- % of demand fulfilled from stock
+    stockout_incidents_30d INT, -- Days with stockouts
+    service_level_30d NUMERIC(8, 2), -- % of days without stockouts
+    lost_sales_incidents_30d INT, -- Days with potential lost sales
+
+    -- Seasonality (P5)
+    seasonality_index NUMERIC(10, 2), -- Current vs average (100 = average)
+    seasonal_pattern VARCHAR(20), -- 'none', 'weekly', 'monthly', 'quarterly', 'yearly'
+    peak_season VARCHAR(20), -- e.g., 'Q4', 'summer', 'holiday'
+
+    CONSTRAINT fk_product_metrics_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE
+);
+
+-- Add Indexes for product_metrics (adjust based on common filtering/sorting in frontend)
+CREATE INDEX idx_product_metrics_brand ON public.product_metrics(brand);
+CREATE INDEX idx_product_metrics_vendor ON public.product_metrics(vendor);
+CREATE INDEX idx_product_metrics_sku ON public.product_metrics(sku);
+CREATE INDEX idx_product_metrics_abc_class ON public.product_metrics(abc_class);
+CREATE INDEX idx_product_metrics_revenue_30d ON public.product_metrics(revenue_30d DESC NULLS LAST); -- Example sorting index
+CREATE INDEX idx_product_metrics_sales_30d ON public.product_metrics(sales_30d DESC NULLS LAST); -- Example sorting index
+CREATE INDEX idx_product_metrics_current_stock ON public.product_metrics(current_stock);
+CREATE INDEX idx_product_metrics_sells_out_in_days ON public.product_metrics(sells_out_in_days ASC NULLS LAST); -- Example sorting index
+CREATE INDEX idx_product_metrics_status ON public.product_metrics(status); -- Index for status filtering
+
+-- Add new vendor, category, and brand metrics tables
+-- Drop tables in reverse order if they exist
+DROP TABLE IF EXISTS public.brand_metrics CASCADE;
+DROP TABLE IF EXISTS public.vendor_metrics CASCADE;
+DROP TABLE IF EXISTS public.category_metrics CASCADE;
+
+-- ========= Category Metrics =========
+CREATE TABLE public.category_metrics (
+    category_id INT8 PRIMARY KEY, -- Foreign key to categories.cat_id
+    category_name VARCHAR,        -- Denormalized for convenience
+    category_type INT2,           -- Denormalized for convenience
+    parent_id INT8,             -- Denormalized for convenience
+    last_calculated TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+
+    -- ROLLED-UP METRICS (includes this category + all descendants)
+    -- Counts & Basic Info
+    product_count INT NOT NULL DEFAULT 0,           -- Total products linked
+    active_product_count INT NOT NULL DEFAULT 0,    -- Visible products linked
+    replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products linked
+
+    -- Current Stock Value (approximated using current product costs/prices)
+    current_stock_units INT NOT NULL DEFAULT 0,
+    current_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    current_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+
+    -- Rolling Period Aggregates (Summed from product_metrics)
+    sales_7d INT NOT NULL DEFAULT 0, revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    sales_30d INT NOT NULL DEFAULT 0, revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    sales_365d INT NOT NULL DEFAULT 0, revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    lifetime_sales INT NOT NULL DEFAULT 0, lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
+
+    -- DIRECT METRICS (only products directly in this category)
+    direct_product_count INT NOT NULL DEFAULT 0,           -- Products directly in this category
+    direct_active_product_count INT NOT NULL DEFAULT 0,    -- Visible products directly in this category
+    direct_replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products directly in this category
+
+    -- Direct Current Stock Value
+    direct_current_stock_units INT NOT NULL DEFAULT 0,
+    direct_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    direct_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+
+    -- Direct Rolling Period Aggregates
+    direct_sales_7d INT NOT NULL DEFAULT 0, direct_revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    direct_sales_30d INT NOT NULL DEFAULT 0, direct_revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    direct_profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, direct_cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    direct_sales_365d INT NOT NULL DEFAULT 0, direct_revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    direct_lifetime_sales INT NOT NULL DEFAULT 0, direct_lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
+
+    -- Calculated KPIs (Based on 30d aggregates) - Apply to rolled-up metrics
+    avg_margin_30d NUMERIC(7, 3), -- (profit / revenue) * 100
+    stock_turn_30d NUMERIC(10, 3), -- sales_units / avg_stock_units (Needs avg stock calc)
+    sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in sales units
+    revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in revenue
+
+    CONSTRAINT fk_category_metrics_cat_id FOREIGN KEY (category_id) REFERENCES public.categories(cat_id) ON DELETE CASCADE ON UPDATE CASCADE
+);
+CREATE INDEX idx_category_metrics_name ON public.category_metrics(category_name);
+CREATE INDEX idx_category_metrics_type ON public.category_metrics(category_type);
+
+-- ========= Vendor Metrics =========
+CREATE TABLE public.vendor_metrics (
+    vendor_name VARCHAR PRIMARY KEY, -- Matches products.vendor
+    last_calculated TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+
+    -- Counts & Basic Info
+    product_count INT NOT NULL DEFAULT 0,           -- Total products from this vendor
+    active_product_count INT NOT NULL DEFAULT 0,    -- Visible products
+    replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products
+
+    -- Current Stock Value (approximated)
+    current_stock_units INT NOT NULL DEFAULT 0,
+    current_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    current_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+
+    -- On Order Value
+    on_order_units INT NOT NULL DEFAULT 0,
+    on_order_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+
+    -- PO Performance (Simplified)
+    po_count_365d INT NOT NULL DEFAULT 0, -- Count of distinct POs created in last year
+    avg_lead_time_days INT,             -- Calculated from received POs historically
+
+    -- Rolling Period Aggregates (Summed from product_metrics)
+    sales_7d INT NOT NULL DEFAULT 0, revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    sales_30d INT NOT NULL DEFAULT 0, revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    sales_365d INT NOT NULL DEFAULT 0, revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    lifetime_sales INT NOT NULL DEFAULT 0, lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
+
+    -- Calculated KPIs (Based on 30d aggregates)
+    avg_margin_30d NUMERIC(14, 4), -- (profit / revenue) * 100
+    sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in sales units
+    revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in revenue
+    -- Add more KPIs if needed (e.g., avg product value, sell-through rate for vendor)
+);
+CREATE INDEX idx_vendor_metrics_active_count ON public.vendor_metrics(active_product_count);
+
+
+-- ========= Brand Metrics =========
+CREATE TABLE public.brand_metrics (
+    brand_name VARCHAR PRIMARY KEY, -- Matches products.brand (use 'Unbranded' for NULLs)
+    last_calculated TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+
+    -- Counts & Basic Info
+    product_count INT NOT NULL DEFAULT 0,           -- Total products of this brand
+    active_product_count INT NOT NULL DEFAULT 0,    -- Visible products
+    replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products
+
+    -- Current Stock Value (approximated)
+    current_stock_units INT NOT NULL DEFAULT 0,
+    current_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    current_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+
+    -- Rolling Period Aggregates (Summed from product_metrics)
+    sales_7d INT NOT NULL DEFAULT 0, revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    sales_30d INT NOT NULL DEFAULT 0, revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    sales_365d INT NOT NULL DEFAULT 0, revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
+    lifetime_sales INT NOT NULL DEFAULT 0, lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
+
+    -- Calculated KPIs (Based on 30d aggregates)
+    avg_margin_30d NUMERIC(7, 3), -- (profit / revenue) * 100
+    sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in sales units
+    revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in revenue
+    -- Add more KPIs if needed (e.g., avg product value, sell-through rate for brand)
+);
+CREATE INDEX idx_brand_metrics_active_count ON public.brand_metrics(active_product_count);

inventory-server/db/schema.sql

@@ -7,7 +7,7 @@ BEGIN
     -- Check which table is being updated and use the appropriate column
     IF TG_TABLE_NAME = 'categories' THEN
         NEW.updated_at = CURRENT_TIMESTAMP;
-    ELSE
+    ELSIF TG_TABLE_NAME IN ('products', 'orders', 'purchase_orders', 'receivings') THEN
         NEW.updated = CURRENT_TIMESTAMP;
     END IF;
     RETURN NEW;
@@ -17,48 +17,48 @@ $func$ language plpgsql;
 -- Create tables
 CREATE TABLE products (
     pid BIGINT NOT NULL,
-    title VARCHAR(255) NOT NULL,
+    title TEXT NOT NULL,
     description TEXT,
-    SKU VARCHAR(50) NOT NULL,
+    sku TEXT NOT NULL,
     created_at TIMESTAMP WITH TIME ZONE,
     first_received TIMESTAMP WITH TIME ZONE,
     stock_quantity INTEGER DEFAULT 0,
     preorder_count INTEGER DEFAULT 0,
     notions_inv_count INTEGER DEFAULT 0,
-    price DECIMAL(10, 3) NOT NULL,
-    regular_price DECIMAL(10, 3) NOT NULL,
-    cost_price DECIMAL(10, 3),
-    landing_cost_price DECIMAL(10, 3),
-    barcode VARCHAR(50),
-    harmonized_tariff_code VARCHAR(20),
+    price NUMERIC(14, 4) NOT NULL,
+    regular_price NUMERIC(14, 4) NOT NULL,
+    cost_price NUMERIC(14, 4),
+    landing_cost_price NUMERIC(14, 4),
+    barcode TEXT,
+    harmonized_tariff_code TEXT,
     updated_at TIMESTAMP WITH TIME ZONE,
     visible BOOLEAN DEFAULT true,
     managing_stock BOOLEAN DEFAULT true,
     replenishable BOOLEAN DEFAULT true,
-    vendor VARCHAR(100),
-    vendor_reference VARCHAR(100),
-    notions_reference VARCHAR(100),
-    permalink VARCHAR(255),
+    vendor TEXT,
+    vendor_reference TEXT,
+    notions_reference TEXT,
+    permalink TEXT,
     categories TEXT,
-    image VARCHAR(255),
-    image_175 VARCHAR(255),
-    image_full VARCHAR(255),
-    brand VARCHAR(100),
-    line VARCHAR(100),
-    subline VARCHAR(100),
-    artist VARCHAR(100),
+    image TEXT,
+    image_175 TEXT,
+    image_full TEXT,
+    brand TEXT,
+    line TEXT,
+    subline TEXT,
+    artist TEXT,
     options TEXT,
     tags TEXT,
     moq INTEGER DEFAULT 1,
     uom INTEGER DEFAULT 1,
-    rating DECIMAL(10,2) DEFAULT 0.00,
+    rating NUMERIC(14, 4) DEFAULT 0.00,
     reviews INTEGER DEFAULT 0,
-    weight DECIMAL(10,3),
-    length DECIMAL(10,3),
-    width DECIMAL(10,3),
-    height DECIMAL(10,3),
-    country_of_origin VARCHAR(5),
-    location VARCHAR(50),
+    weight NUMERIC(14, 4),
+    length NUMERIC(14, 4),
+    width NUMERIC(14, 4),
+    height NUMERIC(14, 4),
+    country_of_origin TEXT,
+    location TEXT,
     total_sold INTEGER DEFAULT 0,
     baskets INTEGER DEFAULT 0,
     notifies INTEGER DEFAULT 0,
@@ -74,25 +74,25 @@ CREATE TRIGGER update_products_updated
     EXECUTE FUNCTION update_updated_column();
 
 -- Create indexes for products table
-CREATE INDEX idx_products_sku ON products(SKU);
+CREATE INDEX idx_products_sku ON products(sku);
 CREATE INDEX idx_products_vendor ON products(vendor);
 CREATE INDEX idx_products_brand ON products(brand);
-CREATE INDEX idx_products_location ON products(location);
-CREATE INDEX idx_products_total_sold ON products(total_sold);
-CREATE INDEX idx_products_date_last_sold ON products(date_last_sold);
+CREATE INDEX idx_products_visible ON products(visible);
+CREATE INDEX idx_products_replenishable ON products(replenishable);
 CREATE INDEX idx_products_updated ON products(updated);
 
 -- Create categories table with hierarchy support
 CREATE TABLE categories (
     cat_id BIGINT PRIMARY KEY,
-    name VARCHAR(100) NOT NULL,
+    name TEXT NOT NULL,
     type SMALLINT NOT NULL,
     parent_id BIGINT,
     description TEXT,
     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
-    status VARCHAR(20) DEFAULT 'active',
-    FOREIGN KEY (parent_id) REFERENCES categories(cat_id)
+    updated TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+    status TEXT DEFAULT 'active',
+    FOREIGN KEY (parent_id) REFERENCES categories(cat_id) ON DELETE SET NULL
 );
 
 -- Create trigger for categories
@@ -106,6 +106,7 @@ COMMENT ON COLUMN categories.type IS '10=section, 11=category, 12=subcategory, 1
 CREATE INDEX idx_categories_parent ON categories(parent_id);
 CREATE INDEX idx_categories_type ON categories(type);
 CREATE INDEX idx_categories_status ON categories(status);
+CREATE INDEX idx_categories_name ON categories(name);
 CREATE INDEX idx_categories_name_type ON categories(name, type);
 
 -- Create product_categories junction table
@@ -118,28 +119,28 @@ CREATE TABLE product_categories (
 );
 
 CREATE INDEX idx_product_categories_category ON product_categories(cat_id);
-CREATE INDEX idx_product_categories_product ON product_categories(pid);
 
 -- Create orders table with its indexes
 CREATE TABLE orders (
     id BIGSERIAL PRIMARY KEY,
-    order_number VARCHAR(50) NOT NULL,
+    order_number TEXT NOT NULL,
     pid BIGINT NOT NULL,
-    SKU VARCHAR(50) NOT NULL,
-    date DATE NOT NULL,
-    price DECIMAL(10,3) NOT NULL,
+    sku TEXT NOT NULL,
+    date TIMESTAMP WITH TIME ZONE NOT NULL,
+    price NUMERIC(14, 4) NOT NULL,
     quantity INTEGER NOT NULL,
-    discount DECIMAL(10,3) DEFAULT 0.000,
-    tax DECIMAL(10,3) DEFAULT 0.000,
+    discount NUMERIC(14, 4) DEFAULT 0.0000,
+    tax NUMERIC(14, 4) DEFAULT 0.0000,
     tax_included BOOLEAN DEFAULT false,
-    shipping DECIMAL(10,3) DEFAULT 0.000,
-    costeach DECIMAL(10,3) DEFAULT 0.000,
-    customer VARCHAR(50) NOT NULL,
-    customer_name VARCHAR(100),
-    status VARCHAR(20) DEFAULT 'pending',
+    shipping NUMERIC(14, 4) DEFAULT 0.0000,
+    costeach NUMERIC(14, 4) DEFAULT 0.0000,
+    customer TEXT NOT NULL,
+    customer_name TEXT,
+    status TEXT DEFAULT 'pending',
     canceled BOOLEAN DEFAULT false,
     updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    UNIQUE (order_number, pid)
+    UNIQUE (order_number, pid),
+    FOREIGN KEY (pid) REFERENCES products(pid) ON DELETE RESTRICT
 );
 
 -- Create trigger for orders
@@ -150,36 +151,34 @@ CREATE TRIGGER update_orders_updated
 
 CREATE INDEX idx_orders_number ON orders(order_number);
 CREATE INDEX idx_orders_pid ON orders(pid);
+CREATE INDEX idx_orders_sku ON orders(sku);
 CREATE INDEX idx_orders_customer ON orders(customer);
 CREATE INDEX idx_orders_date ON orders(date);
 CREATE INDEX idx_orders_status ON orders(status);
-CREATE INDEX idx_orders_metrics ON orders(pid, date, canceled);
+CREATE INDEX idx_orders_pid_date ON orders(pid, date);
 CREATE INDEX idx_orders_updated ON orders(updated);
 
 -- Create purchase_orders table with its indexes
+-- This table now focuses solely on purchase order intent, not receivings
 CREATE TABLE purchase_orders (
     id BIGSERIAL PRIMARY KEY,
-    po_id VARCHAR(50) NOT NULL,
-    vendor VARCHAR(100) NOT NULL,
-    date DATE NOT NULL,
+    po_id TEXT NOT NULL,
+    vendor TEXT NOT NULL,
+    date TIMESTAMP WITH TIME ZONE NOT NULL,
     expected_date DATE,
     pid BIGINT NOT NULL,
-    sku VARCHAR(50) NOT NULL,
-    name VARCHAR(255) NOT NULL,
-    cost_price DECIMAL(10, 3) NOT NULL,
-    po_cost_price DECIMAL(10, 3) NOT NULL,
-    status SMALLINT DEFAULT 1,
-    receiving_status SMALLINT DEFAULT 1,
+    sku TEXT NOT NULL,
+    name TEXT NOT NULL,
+    po_cost_price NUMERIC(14, 4) NOT NULL,
+    status TEXT DEFAULT 'created',
     notes TEXT,
     long_note TEXT,
     ordered INTEGER NOT NULL,
-    received INTEGER DEFAULT 0,
-    received_date DATE,
-    last_received_date DATE,
-    received_by VARCHAR,
-    receiving_history JSONB,
+    supplier_id INTEGER,
+    date_created TIMESTAMP WITH TIME ZONE,
+    date_ordered TIMESTAMP WITH TIME ZONE,
     updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    FOREIGN KEY (pid) REFERENCES products(pid),
+    FOREIGN KEY (pid) REFERENCES products(pid) ON DELETE CASCADE,
     UNIQUE (po_id, pid)
 );
 
@@ -190,22 +189,116 @@ CREATE TRIGGER update_purchase_orders_updated
     EXECUTE FUNCTION update_updated_column();
 
 COMMENT ON COLUMN purchase_orders.name IS 'Product name from products.description';
-COMMENT ON COLUMN purchase_orders.po_cost_price IS 'Original cost from PO, before receiving adjustments';
-COMMENT ON COLUMN purchase_orders.status IS '0=canceled,1=created,10=electronically_ready_send,11=ordered,12=preordered,13=electronically_sent,15=receiving_started,50=done';
-COMMENT ON COLUMN purchase_orders.receiving_status IS '0=canceled,1=created,30=partial_received,40=full_received,50=paid';
-COMMENT ON COLUMN purchase_orders.receiving_history IS 'Array of receiving records with qty, date, cost, receiving_id, and alt_po flag';
+COMMENT ON COLUMN purchase_orders.po_cost_price IS 'Original cost from PO';
+COMMENT ON COLUMN purchase_orders.status IS 'canceled, created, electronically_ready_send, ordered, preordered, electronically_sent, receiving_started, done';
 
 CREATE INDEX idx_po_id ON purchase_orders(po_id);
+CREATE INDEX idx_po_sku ON purchase_orders(sku);
 CREATE INDEX idx_po_vendor ON purchase_orders(vendor);
 CREATE INDEX idx_po_status ON purchase_orders(status);
-CREATE INDEX idx_po_receiving_status ON purchase_orders(receiving_status);
-CREATE INDEX idx_po_metrics ON purchase_orders(pid, date, status, ordered, received);
-CREATE INDEX idx_po_metrics_receiving ON purchase_orders(pid, date, receiving_status, received_date);
-CREATE INDEX idx_po_product_date ON purchase_orders(pid, date);
-CREATE INDEX idx_po_product_status ON purchase_orders(pid, status);
+CREATE INDEX idx_po_expected_date ON purchase_orders(expected_date);
+CREATE INDEX idx_po_pid_status ON purchase_orders(pid, status);
+CREATE INDEX idx_po_pid_date ON purchase_orders(pid, date);
 CREATE INDEX idx_po_updated ON purchase_orders(updated);
+CREATE INDEX idx_po_supplier_id ON purchase_orders(supplier_id);
+
+-- Create receivings table to track actual receipt of goods
+CREATE TABLE receivings (
+    id BIGSERIAL PRIMARY KEY,
+    receiving_id TEXT NOT NULL,
+    pid BIGINT NOT NULL,
+    sku TEXT NOT NULL,
+    name TEXT NOT NULL,
+    vendor TEXT,
+    qty_each INTEGER NOT NULL,
+    qty_each_orig INTEGER,
+    cost_each NUMERIC(14, 5) NOT NULL,
+    cost_each_orig NUMERIC(14, 5),
+    received_by INTEGER,
+    received_by_name TEXT,
+    received_date TIMESTAMP WITH TIME ZONE NOT NULL,
+    receiving_created_date TIMESTAMP WITH TIME ZONE,
+    supplier_id INTEGER,
+    status TEXT DEFAULT 'created',
+    updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    FOREIGN KEY (pid) REFERENCES products(pid) ON DELETE CASCADE,
+    UNIQUE (receiving_id, pid)
+);
+
+-- Create trigger for receivings
+CREATE TRIGGER update_receivings_updated
+    BEFORE UPDATE ON receivings
+    FOR EACH ROW
+    EXECUTE FUNCTION update_updated_column();
+
+COMMENT ON COLUMN receivings.status IS 'canceled, created, partial_received, full_received, paid';
+COMMENT ON COLUMN receivings.qty_each_orig IS 'Original quantity from the source system';
+COMMENT ON COLUMN receivings.cost_each_orig IS 'Original cost from the source system';
+COMMENT ON COLUMN receivings.vendor IS 'Vendor name, same as in purchase_orders';
+
+CREATE INDEX idx_receivings_id ON receivings(receiving_id);
+CREATE INDEX idx_receivings_pid ON receivings(pid);
+CREATE INDEX idx_receivings_sku ON receivings(sku);
+CREATE INDEX idx_receivings_status ON receivings(status);
+CREATE INDEX idx_receivings_received_date ON receivings(received_date);
+CREATE INDEX idx_receivings_supplier_id ON receivings(supplier_id);
+CREATE INDEX idx_receivings_vendor ON receivings(vendor);
+CREATE INDEX idx_receivings_updated ON receivings(updated);
 
 SET session_replication_role = 'origin';  -- Re-enable foreign key checks
 
 -- Create views for common calculations
 -- product_sales_trends view moved to metrics-schema.sql 
+
+-- -- Historical data tables imported from production
+-- CREATE TABLE imported_product_current_prices (
+--   price_id BIGSERIAL PRIMARY KEY,
+--   pid BIGINT NOT NULL,
+--   qty_buy SMALLINT NOT NULL,
+--   is_min_qty_buy BOOLEAN NOT NULL,
+--   price_each NUMERIC(10,3) NOT NULL,
+--   qty_limit SMALLINT NOT NULL,
+--   no_promo BOOLEAN NOT NULL,
+--   checkout_offer BOOLEAN NOT NULL,
+--   active BOOLEAN NOT NULL,
+--   date_active TIMESTAMP WITH TIME ZONE,
+--   date_deactive TIMESTAMP WITH TIME ZONE,
+--   updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
+-- );
+
+-- CREATE INDEX idx_imported_product_current_prices_pid ON imported_product_current_prices(pid, active, qty_buy);
+-- CREATE INDEX idx_imported_product_current_prices_checkout ON imported_product_current_prices(checkout_offer, active);
+-- CREATE INDEX idx_imported_product_current_prices_deactive ON imported_product_current_prices(date_deactive, active);
+-- CREATE INDEX idx_imported_product_current_prices_active ON imported_product_current_prices(date_active, active);
+
+-- CREATE TABLE imported_daily_inventory (
+--   date DATE NOT NULL,
+--   pid BIGINT NOT NULL,
+--   amountsold SMALLINT NOT NULL DEFAULT 0,
+--   times_sold SMALLINT NOT NULL DEFAULT 0,
+--   qtyreceived SMALLINT NOT NULL DEFAULT 0,
+--   price NUMERIC(7,2) NOT NULL DEFAULT 0,
+--   costeach NUMERIC(7,2) NOT NULL DEFAULT 0,
+--   stamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+--   updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+--   PRIMARY KEY (date, pid)
+-- );
+
+-- CREATE INDEX idx_imported_daily_inventory_pid ON imported_daily_inventory(pid);
+
+-- CREATE TABLE imported_product_stat_history (
+--   pid BIGINT NOT NULL,
+--   date DATE NOT NULL,
+--   score NUMERIC(10,2) NOT NULL,
+--   score2 NUMERIC(10,2) NOT NULL,
+--   qty_in_baskets SMALLINT NOT NULL,
+--   qty_sold SMALLINT NOT NULL,
+--   notifies_set SMALLINT NOT NULL,
+--   visibility_score NUMERIC(10,2) NOT NULL,
+--   health_score VARCHAR(5) NOT NULL,
+--   sold_view_score NUMERIC(6,3) NOT NULL,
+--   updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+--   PRIMARY KEY (pid, date)
+-- );
+
+-- CREATE INDEX idx_imported_product_stat_history_date ON imported_product_stat_history(date); 

inventory-server/old/backfill-snapshots.js

@@ -0,0 +1,426 @@
+const path = require('path');
+const fs = require('fs');
+const progress = require('../scripts/metrics-new/utils/progress'); // Assuming progress utils are here
+const { getConnection, closePool } = require('../scripts/metrics-new/utils/db'); // Assuming db utils are here
+const os = require('os'); // For detecting number of CPU cores
+
+// --- Configuration ---
+const BATCH_SIZE_DAYS = 1; // Process 1 day per database function call
+const SQL_FUNCTION_FILE = path.resolve(__dirname, 'backfill_historical_snapshots.sql'); // Correct path
+const LOG_PROGRESS_INTERVAL_MS = 5000; // Update console progress roughly every 5 seconds
+const HISTORY_TYPE = 'backfill_snapshots'; // Identifier for history table
+const MAX_WORKERS = Math.max(1, Math.floor(os.cpus().length / 2)); // Use half of available CPU cores
+const USE_PARALLEL = false; // Set to true to enable parallel processing
+const PG_STATEMENT_TIMEOUT_MS = 1800000; // 30 minutes max per query
+
+// --- Cancellation Handling ---
+let isCancelled = false;
+let runningQueryPromise = null; // To potentially track the active query
+
+function requestCancellation() {
+    if (!isCancelled) {
+        isCancelled = true;
+        console.warn('\nCancellation requested. Finishing current batch then stopping...');
+        // Note: We are NOT forcefully cancelling the backend query anymore.
+    }
+}
+
+process.on('SIGINT', requestCancellation); // Handle Ctrl+C
+process.on('SIGTERM', requestCancellation); // Handle termination signals
+
+// --- Main Backfill Function ---
+async function backfillSnapshots(cmdStartDate, cmdEndDate, cmdStartBatch = 1) {
+    let connection;
+    const overallStartTime = Date.now();
+    let calculateHistoryId = null;
+    let processedDaysTotal = 0; // Track total days processed across all batches executed in this run
+    let currentBatchNum = cmdStartBatch > 0 ? cmdStartBatch : 1;
+    let totalBatches = 0; // Initialize totalBatches
+    let totalDays = 0; // Initialize totalDays
+
+    console.log(`Starting snapshot backfill process...`);
+    console.log(`SQL Function definition file: ${SQL_FUNCTION_FILE}`);
+    if (!fs.existsSync(SQL_FUNCTION_FILE)) {
+         console.error(`FATAL: SQL file not found at ${SQL_FUNCTION_FILE}`);
+         process.exit(1); // Exit early if file doesn't exist
+    }
+
+    try {
+        // Set up a connection with higher memory limits
+        connection = await getConnection({
+            // Add performance-related settings
+            application_name: 'backfill_snapshots',
+            statement_timeout: PG_STATEMENT_TIMEOUT_MS, // 30 min timeout per statement
+            // These parameters may need to be configured in your database:
+            // work_mem: '1GB',
+            // maintenance_work_mem: '2GB',
+            // temp_buffers: '1GB',
+        });
+        
+        console.log('Database connection acquired.');
+
+        // --- Ensure Function Exists ---
+        console.log('Ensuring database function is up-to-date...');
+        try {
+            const sqlFunctionDef = fs.readFileSync(SQL_FUNCTION_FILE, 'utf8');
+            if (!sqlFunctionDef.includes('CREATE OR REPLACE FUNCTION backfill_daily_snapshots_range_final')) {
+                throw new Error(`SQL file ${SQL_FUNCTION_FILE} does not seem to contain the function definition.`);
+            }
+            await connection.query(sqlFunctionDef); // Execute the whole file
+            console.log('Database function `backfill_daily_snapshots_range_final` created/updated.');
+            
+            // Add performance query hints to the database
+            await connection.query(`
+                -- Analyze tables for better query planning
+                ANALYZE public.products;
+                ANALYZE public.imported_daily_inventory;
+                ANALYZE public.imported_product_stat_history;
+                ANALYZE public.daily_product_snapshots;
+                ANALYZE public.imported_product_current_prices;
+            `).catch(err => {
+                // Non-fatal if analyze fails
+                console.warn('Failed to analyze tables (non-fatal):', err.message);
+            });
+            
+        } catch (err) {
+            console.error(`Error processing SQL function file ${SQL_FUNCTION_FILE}:`, err);
+            throw new Error(`Failed to create or replace DB function: ${err.message}`);
+        }
+
+        // --- Prepare History Record ---
+        console.log('Preparing calculation history record...');
+         // Ensure history table exists (optional, could be done elsewhere)
+         await connection.query(`
+            CREATE TABLE IF NOT EXISTS public.calculate_history (
+                id SERIAL PRIMARY KEY,
+                start_time TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+                end_time TIMESTAMPTZ,
+                duration_seconds INTEGER,
+                status VARCHAR(20) NOT NULL, -- e.g., 'running', 'completed', 'failed', 'cancelled'
+                error_message TEXT,
+                additional_info JSONB -- Store type, file, batch info etc.
+            );
+         `);
+        // Mark previous runs of this type as potentially failed if they were left 'running'
+        await connection.query(`
+            UPDATE public.calculate_history
+            SET status = 'failed', error_message = 'Interrupted by new run.'
+            WHERE status = 'running' AND additional_info->>'type' = $1;
+        `, [HISTORY_TYPE]);
+
+        // Create new history record
+        const historyResult = await connection.query(`
+            INSERT INTO public.calculate_history (start_time, status, additional_info)
+            VALUES (NOW(), 'running', jsonb_build_object('type', $1::text, 'sql_file', $2::text, 'start_batch', $3::integer))
+            RETURNING id;
+        `, [HISTORY_TYPE, path.basename(SQL_FUNCTION_FILE), cmdStartBatch]);
+        calculateHistoryId = historyResult.rows[0].id;
+        console.log(`Calculation history record created with ID: ${calculateHistoryId}`);
+
+
+        // --- Determine Date Range ---
+        console.log('Determining date range...');
+        let effectiveStartDate, effectiveEndDate;
+
+        // Use command-line dates if provided, otherwise query DB
+        if (cmdStartDate) {
+             effectiveStartDate = cmdStartDate;
+        } else {
+             const minDateResult = await connection.query(`
+                SELECT LEAST(
+                    COALESCE((SELECT MIN(date) FROM public.imported_daily_inventory WHERE date > '1970-01-01'), CURRENT_DATE),
+                    COALESCE((SELECT MIN(date) FROM public.imported_product_stat_history WHERE date > '1970-01-01'), CURRENT_DATE)
+                )::date as min_date;
+            `);
+             effectiveStartDate = minDateResult.rows[0]?.min_date || new Date().toISOString().split('T')[0]; // Fallback
+             console.log(`Auto-detected start date: ${effectiveStartDate}`);
+        }
+
+        if (cmdEndDate) {
+            effectiveEndDate = cmdEndDate;
+        } else {
+             const maxDateResult = await connection.query(`
+                 SELECT GREATEST(
+                    COALESCE((SELECT MAX(date) FROM public.imported_daily_inventory WHERE date < CURRENT_DATE), '1970-01-01'::date),
+                    COALESCE((SELECT MAX(date) FROM public.imported_product_stat_history WHERE date < CURRENT_DATE), '1970-01-01'::date)
+                )::date as max_date;
+             `);
+             // Ensure end date is not today or in the future
+             effectiveEndDate = maxDateResult.rows[0]?.max_date || new Date(Date.now() - 86400000).toISOString().split('T')[0]; // Default yesterday
+             if (new Date(effectiveEndDate) >= new Date(new Date().toISOString().split('T')[0])) {
+                 effectiveEndDate = new Date(Date.now() - 86400000).toISOString().split('T')[0]; // Set to yesterday if >= today
+             }
+             console.log(`Auto-detected end date: ${effectiveEndDate}`);
+        }
+
+         // Validate dates
+         const dStart = new Date(effectiveStartDate);
+         const dEnd = new Date(effectiveEndDate);
+         if (isNaN(dStart.getTime()) || isNaN(dEnd.getTime()) || dStart > dEnd) {
+             throw new Error(`Invalid date range: Start "${effectiveStartDate}", End "${effectiveEndDate}"`);
+         }
+
+        // --- Batch Processing ---
+        totalDays = Math.ceil((dEnd - dStart) / (1000 * 60 * 60 * 24)) + 1; // Inclusive
+        totalBatches = Math.ceil(totalDays / BATCH_SIZE_DAYS);
+
+        console.log(`Target Date Range: ${effectiveStartDate} to ${effectiveEndDate} (${totalDays} days)`);
+        console.log(`Total Batches: ${totalBatches} (Batch Size: ${BATCH_SIZE_DAYS} days)`);
+        console.log(`Starting from Batch: ${currentBatchNum}`);
+
+        // Initial progress update
+        progress.outputProgress({ 
+            status: 'running', 
+            operation: 'Starting Batch Processing',
+            currentBatch: currentBatchNum, 
+            totalBatches: totalBatches, 
+            totalDays: totalDays,
+            elapsed: '0s', 
+            remaining: 'Calculating...', 
+            rate: 0,
+            historyId: calculateHistoryId // Include history ID in the object
+        });
+
+        while (currentBatchNum <= totalBatches && !isCancelled) {
+            const batchOffset = (currentBatchNum - 1) * BATCH_SIZE_DAYS;
+            const batchStartDate = new Date(dStart);
+            batchStartDate.setDate(dStart.getDate() + batchOffset);
+
+            const batchEndDate = new Date(batchStartDate);
+            batchEndDate.setDate(batchStartDate.getDate() + BATCH_SIZE_DAYS - 1);
+
+            // Clamp batch end date to the overall effective end date
+            if (batchEndDate > dEnd) {
+                batchEndDate.setTime(dEnd.getTime());
+            }
+
+            const batchStartDateStr = batchStartDate.toISOString().split('T')[0];
+            const batchEndDateStr = batchEndDate.toISOString().split('T')[0];
+            const batchStartTime = Date.now();
+
+            console.log(`\n--- Processing Batch ${currentBatchNum} / ${totalBatches} ---`);
+            console.log(`    Dates: ${batchStartDateStr} to ${batchEndDateStr}`);
+
+            // Execute the function for the batch
+             try {
+                progress.outputProgress({
+                     status: 'running', 
+                     operation: `Executing DB function for batch ${currentBatchNum}...`,
+                     currentBatch: currentBatchNum, 
+                     totalBatches: totalBatches, 
+                     totalDays: totalDays,
+                     elapsed: progress.formatElapsedTime(overallStartTime), 
+                     remaining: 'Executing...', 
+                     rate: 0,
+                     historyId: calculateHistoryId
+                 });
+
+                // Performance improvement: Add batch processing hint
+                await connection.query('SET LOCAL enable_parallel_append = on; SET LOCAL enable_parallel_hash = on; SET LOCAL max_parallel_workers_per_gather = 4;');
+
+                // Store promise in case we need to try and cancel (though not implemented forcefully)
+                runningQueryPromise = connection.query(
+                    `SELECT backfill_daily_snapshots_range_final($1::date, $2::date);`,
+                    [batchStartDateStr, batchEndDateStr]
+                );
+                await runningQueryPromise; // Wait for the function call to complete
+                runningQueryPromise = null; // Clear the promise
+
+                const batchDurationMs = Date.now() - batchStartTime;
+                const daysInThisBatch = Math.ceil((batchEndDate - batchStartDate) / (1000 * 60 * 60 * 24)) + 1;
+                processedDaysTotal += daysInThisBatch;
+
+                console.log(`    Batch ${currentBatchNum} completed in ${progress.formatElapsedTime(batchStartTime)}.`);
+
+                // --- Update Progress & History ---
+                const overallElapsedSec = Math.round((Date.now() - overallStartTime) / 1000);
+                progress.outputProgress({
+                    status: 'running', 
+                    operation: `Completed batch ${currentBatchNum}`,
+                    currentBatch: currentBatchNum, 
+                    totalBatches: totalBatches, 
+                    totalDays: totalDays,
+                    processedDays: processedDaysTotal,
+                    elapsed: progress.formatElapsedTime(overallStartTime),
+                    remaining: progress.estimateRemaining(overallStartTime, processedDaysTotal, totalDays),
+                    rate: progress.calculateRate(overallStartTime, processedDaysTotal),
+                    batchDuration: progress.formatElapsedTime(batchStartTime),
+                    historyId: calculateHistoryId
+                });
+
+                // Save checkpoint in history
+                await connection.query(`
+                    UPDATE public.calculate_history
+                    SET additional_info = jsonb_set(additional_info, '{last_completed_batch}', $1::jsonb)
+                                        || jsonb_build_object('last_processed_date', $2::text)
+                    WHERE id = $3::integer;
+                `, [JSON.stringify(currentBatchNum), batchEndDateStr, calculateHistoryId]);
+
+
+             } catch (batchError) {
+                 console.error(`\n--- ERROR in Batch ${currentBatchNum} (${batchStartDateStr} to ${batchEndDateStr}) ---`);
+                 console.error('    Database Error:', batchError.message);
+                 console.error('    DB Error Code:', batchError.code);
+                 // Log detailed error to history and re-throw to stop the process
+                 await connection.query(`
+                    UPDATE public.calculate_history
+                    SET status = 'failed',
+                        end_time = NOW(),
+                        duration_seconds = $1::integer,
+                        error_message = $2::text,
+                        additional_info = additional_info || jsonb_build_object('failed_batch', $3::integer, 'failed_date_range', $4::text)
+                    WHERE id = $5::integer;
+                 `, [
+                     Math.round((Date.now() - overallStartTime) / 1000),
+                     `Batch ${currentBatchNum} failed: ${batchError.message} (Code: ${batchError.code || 'N/A'})`,
+                     currentBatchNum,
+                     `${batchStartDateStr} to ${batchEndDateStr}`,
+                     calculateHistoryId
+                 ]);
+                 throw batchError; // Stop execution
+             }
+
+            currentBatchNum++;
+            // Optional delay between batches
+            // await new Promise(resolve => setTimeout(resolve, 500));
+
+        } // End while loop
+
+        // --- Final Outcome ---
+        const finalStatus = isCancelled ? 'cancelled' : 'completed';
+        const finalMessage = isCancelled ? `Calculation stopped after completing batch ${currentBatchNum - 1}.` : 'Historical snapshots backfill completed successfully.';
+        const finalDurationSec = Math.round((Date.now() - overallStartTime) / 1000);
+
+        console.log(`\n--- Backfill ${finalStatus.toUpperCase()} ---`);
+        console.log(finalMessage);
+        console.log(`Total duration: ${progress.formatElapsedTime(overallStartTime)}`);
+
+        // Update history record
+        await connection.query(`
+            UPDATE public.calculate_history SET status = $1::calculation_status, end_time = NOW(), duration_seconds = $2::integer, error_message = $3
+            WHERE id = $4::integer;
+        `, [finalStatus, finalDurationSec, (isCancelled ? 'User cancelled' : null), calculateHistoryId]);
+
+        if (!isCancelled) {
+            progress.clearProgress(); // Clear progress state only on successful completion
+        } else {
+             progress.outputProgress({ // Final cancelled status update
+                status: 'cancelled', 
+                operation: finalMessage,
+                currentBatch: currentBatchNum - 1, 
+                totalBatches: totalBatches, 
+                totalDays: totalDays,
+                processedDays: processedDaysTotal,
+                elapsed: progress.formatElapsedTime(overallStartTime), 
+                remaining: 'Cancelled', 
+                rate: 0,
+                historyId: calculateHistoryId
+             });
+        }
+
+        return { success: true, status: finalStatus, message: finalMessage, duration: finalDurationSec };
+
+    } catch (error) {
+        console.error('\n--- Backfill encountered an unrecoverable error ---');
+        console.error(error.message);
+        const finalDurationSec = Math.round((Date.now() - overallStartTime) / 1000);
+
+        // Update history if possible
+        if (connection && calculateHistoryId) {
+             try {
+                 await connection.query(`
+                    UPDATE public.calculate_history
+                    SET status = $1::calculation_status, end_time = NOW(), duration_seconds = $2::integer, error_message = $3::text
+                    WHERE id = $4::integer;
+                 `, [
+                     isCancelled ? 'cancelled' : 'failed',
+                     finalDurationSec,
+                     error.message,
+                     calculateHistoryId
+                 ]);
+             } catch (histError) {
+                 console.error("Failed to update history record with error state:", histError);
+             }
+        } else {
+            console.error("Could not update history record (no ID or connection).");
+        }
+
+        // FIX: Use initialized value or a default if loop never started
+        const batchNumForError = currentBatchNum > cmdStartBatch ? currentBatchNum - 1 : cmdStartBatch - 1;
+        
+        // Update progress.outputProgress call to match actual function signature
+        try {
+            // Create progress data object
+            const progressData = {
+                status: 'failed',
+                operation: 'Backfill failed',
+                message: error.message,
+                currentBatch: batchNumForError,
+                totalBatches: totalBatches,
+                totalDays: totalDays,
+                processedDays: processedDaysTotal,
+                elapsed: progress.formatElapsedTime(overallStartTime),
+                remaining: 'Failed',
+                rate: 0,
+                // Include history ID in progress data if needed
+                historyId: calculateHistoryId
+            };
+            
+            // Call with single object parameter (not separate historyId)
+            progress.outputProgress(progressData);
+        } catch (progressError) {
+            console.error('Failed to report progress:', progressError);
+        }
+
+        return { success: false, status: 'failed', error: error.message, duration: finalDurationSec };
+
+    } finally {
+        if (connection) {
+            console.log('Releasing database connection.');
+            connection.release();
+        }
+        // Close pool only if this script is meant to be standalone
+        // If part of a larger app, the app should manage pool closure
+        // console.log('Closing database pool.');
+        // await closePool();
+    }
+}
+
+// --- Script Execution ---
+
+// Parse command-line arguments
+const args = process.argv.slice(2);
+let cmdStartDateArg, cmdEndDateArg, cmdStartBatchArg = 1; // Default start batch is 1
+
+for (let i = 0; i < args.length; i++) {
+    if (args[i] === '--start-date' && args[i+1]) cmdStartDateArg = args[++i];
+    else if (args[i] === '--end-date' && args[i+1]) cmdEndDateArg = args[++i];
+    else if (args[i] === '--start-batch' && args[i+1]) cmdStartBatchArg = parseInt(args[++i], 10);
+}
+
+if (isNaN(cmdStartBatchArg) || cmdStartBatchArg < 1) {
+    console.warn(`Invalid --start-batch value. Defaulting to 1.`);
+    cmdStartBatchArg = 1;
+}
+
+// Run the backfill process
+backfillSnapshots(cmdStartDateArg, cmdEndDateArg, cmdStartBatchArg)
+    .then(result => {
+        if (result.success) {
+            console.log(`\n✅ ${result.message} (Duration: ${result.duration}s)`);
+            process.exitCode = 0; // Success
+        } else {
+            console.error(`\n❌ Backfill failed: ${result.error || 'Unknown error'} (Duration: ${result.duration}s)`);
+            process.exitCode = 1; // Failure
+        }
+    })
+    .catch(err => {
+        console.error('\n❌ Unexpected error during backfill execution:', err);
+        process.exitCode = 1; // Failure
+    })
+    .finally(async () => {
+        // Ensure pool is closed if run standalone
+         console.log('Backfill script finished. Closing pool.');
+         await closePool(); // Make sure closePool exists and works in your db utils
+         process.exit(process.exitCode); // Exit with appropriate code
+    });

inventory-server/old/backfill_historical_snapshots.sql

@@ -0,0 +1,161 @@
+-- Description: Backfills the daily_product_snapshots table using imported historical unit data
+--              (daily inventory/stats) and historical price data (current prices table).
+--              - Uses imported daily sales/receipt UNIT counts for accuracy.
+--              - ESTIMATES historical stock levels using a forward calculation.
+--              - APPROXIMATES historical REVENUE using looked-up historical base prices.
+--              - APPROXIMATES historical COGS, PROFIT, and STOCK VALUE using CURRENT product costs/prices.
+--              Run ONCE after importing historical data and before initial product_metrics population.
+-- Dependencies: Core import tables (products), imported history tables (imported_daily_inventory,
+--               imported_product_stat_history, imported_product_current_prices),
+--               daily_product_snapshots table must exist.
+-- Frequency: Run ONCE.
+
+CREATE OR REPLACE FUNCTION backfill_daily_snapshots_range_final(
+    _start_date DATE,
+    _end_date DATE
+)
+RETURNS VOID AS $$
+DECLARE
+    _current_processing_date DATE := _start_date;
+    _batch_start_time TIMESTAMPTZ;
+    _row_count INTEGER;
+BEGIN
+    RAISE NOTICE 'Starting FINAL historical snapshot backfill from % to %.', _start_date, _end_date;
+    RAISE NOTICE 'Using historical units and historical prices (for revenue approximation).';
+    RAISE NOTICE 'WARNING: Historical COGS, Profit, and Stock Value use CURRENT product costs/prices.';
+
+    -- Ensure end date is not in the future
+    IF _end_date >= CURRENT_DATE THEN
+        _end_date := CURRENT_DATE - INTERVAL '1 day';
+        RAISE NOTICE 'Adjusted end date to % to avoid conflict with hourly script.', _end_date;
+    END IF;
+
+    -- Performance: Create temporary table with product info to avoid repeated lookups
+    CREATE TEMP TABLE IF NOT EXISTS temp_product_info AS 
+    SELECT 
+        pid, 
+        sku,
+        COALESCE(landing_cost_price, cost_price, 0.00) as effective_cost_price,
+        COALESCE(price, 0.00) as current_price,
+        COALESCE(regular_price, 0.00) as current_regular_price
+    FROM public.products;
+    
+    -- Performance: Create index on temporary table
+    CREATE INDEX IF NOT EXISTS temp_product_info_pid_idx ON temp_product_info(pid);
+    
+    ANALYZE temp_product_info;
+    
+    RAISE NOTICE 'Created temporary product info table with % products', (SELECT COUNT(*) FROM temp_product_info);
+
+    WHILE _current_processing_date <= _end_date LOOP
+        _batch_start_time := clock_timestamp();
+        RAISE NOTICE 'Processing date: %', _current_processing_date;
+
+        -- Get Daily Transaction Unit Info from imported history
+        WITH DailyHistoryUnits AS (
+            SELECT
+                pids.pid,
+                -- Prioritize daily_inventory, fallback to product_stat_history for sold qty
+                COALESCE(di.amountsold, ps.qty_sold, 0)::integer as units_sold_today,
+                COALESCE(di.qtyreceived, 0)::integer as units_received_today
+            FROM
+               (SELECT DISTINCT pid FROM temp_product_info) pids -- Ensure all products are considered
+               LEFT JOIN public.imported_daily_inventory di
+                   ON pids.pid = di.pid AND di.date = _current_processing_date
+               LEFT JOIN public.imported_product_stat_history ps
+                   ON pids.pid = ps.pid AND ps.date = _current_processing_date
+            -- Removed WHERE clause to ensure snapshots are created even for days with 0 activity,
+            -- allowing stock carry-over. The main query will handle products properly.
+        ),
+        HistoricalPrice AS (
+            -- Find the base price (qty_buy=1) active on the processing date
+            SELECT DISTINCT ON (pid)
+                pid,
+                price_each
+            FROM public.imported_product_current_prices
+            WHERE
+                qty_buy = 1
+            -- Use TIMESTAMPTZ comparison logic:
+            AND date_active <= (_current_processing_date + interval '1 day' - interval '1 second') -- Active sometime on or before end of processing day
+            AND (date_deactive IS NULL OR date_deactive > _current_processing_date) -- Not deactivated before start of processing day
+            -- Assuming 'active' flag isn't needed if dates are correct; add 'AND active != 0' if necessary
+            ORDER BY
+                pid, date_active DESC -- Get the most recently activated price
+        ),
+        PreviousStock AS (
+            -- Get the estimated stock from the PREVIOUS day snapshot
+            SELECT pid, eod_stock_quantity
+            FROM public.daily_product_snapshots
+            WHERE snapshot_date = _current_processing_date - INTERVAL '1 day'
+        )
+        -- Insert into the daily snapshots table
+        INSERT INTO public.daily_product_snapshots (
+            snapshot_date, pid, sku,
+            eod_stock_quantity, eod_stock_cost, eod_stock_retail, eod_stock_gross, stockout_flag,
+            units_sold, units_returned,
+            gross_revenue, discounts, returns_revenue,
+            net_revenue, cogs, gross_regular_revenue, profit,
+            units_received, cost_received,
+            calculation_timestamp
+        )
+        SELECT
+            _current_processing_date AS snapshot_date,
+            p.pid,
+            p.sku,
+            -- Estimated EOD Stock (using historical daily units)
+            -- Handle potential NULL from joins with COALESCE 0
+            COALESCE(ps.eod_stock_quantity, 0) + COALESCE(dh.units_received_today, 0) - COALESCE(dh.units_sold_today, 0) AS estimated_eod_stock,
+            -- Valued Stock (using estimated stock and CURRENT prices/costs - APPROXIMATION)
+            GREATEST(0, COALESCE(ps.eod_stock_quantity, 0) + COALESCE(dh.units_received_today, 0) - COALESCE(dh.units_sold_today, 0)) * p.effective_cost_price AS eod_stock_cost,
+            GREATEST(0, COALESCE(ps.eod_stock_quantity, 0) + COALESCE(dh.units_received_today, 0) - COALESCE(dh.units_sold_today, 0)) * p.current_price AS eod_stock_retail, -- Stock retail uses current price
+            GREATEST(0, COALESCE(ps.eod_stock_quantity, 0) + COALESCE(dh.units_received_today, 0) - COALESCE(dh.units_sold_today, 0)) * p.current_regular_price AS eod_stock_gross, -- Stock gross uses current regular price
+            -- Stockout Flag (based on estimated stock)
+            (COALESCE(ps.eod_stock_quantity, 0) + COALESCE(dh.units_received_today, 0) - COALESCE(dh.units_sold_today, 0)) <= 0 AS stockout_flag,
+
+            -- Today's Unit Aggregates from History
+            COALESCE(dh.units_sold_today, 0) as units_sold,
+            0 AS units_returned, -- Placeholder: Cannot determine returns from daily summary
+
+            -- Monetary Values using looked-up Historical Price and CURRENT Cost/RegPrice
+            COALESCE(dh.units_sold_today, 0) * COALESCE(hp.price_each, p.current_price) AS gross_revenue, -- Approx Revenue
+            0 AS discounts, -- Placeholder
+            0 AS returns_revenue, -- Placeholder
+            COALESCE(dh.units_sold_today, 0) * COALESCE(hp.price_each, p.current_price) AS net_revenue, -- Approx Net Revenue
+            COALESCE(dh.units_sold_today, 0) * p.effective_cost_price AS cogs, -- Approx COGS (uses CURRENT cost)
+            COALESCE(dh.units_sold_today, 0) * p.current_regular_price AS gross_regular_revenue, -- Approx Gross Regular Revenue
+            -- Approx Profit
+            (COALESCE(dh.units_sold_today, 0) * COALESCE(hp.price_each, p.current_price)) - (COALESCE(dh.units_sold_today, 0) * p.effective_cost_price) AS profit,
+
+            COALESCE(dh.units_received_today, 0) as units_received,
+            -- Estimate received cost using CURRENT product cost
+            COALESCE(dh.units_received_today, 0) * p.effective_cost_price AS cost_received, -- Approx
+
+            clock_timestamp() -- Timestamp of this specific calculation
+        FROM temp_product_info p -- Use the temp table for better performance
+        LEFT JOIN PreviousStock ps ON p.pid = ps.pid
+        LEFT JOIN DailyHistoryUnits dh ON p.pid = dh.pid -- Join today's historical activity
+        LEFT JOIN HistoricalPrice hp ON p.pid = hp.pid -- Join the looked-up historical price
+        -- Optimization: Only process products with activity or previous stock
+        WHERE (dh.units_sold_today > 0 OR dh.units_received_today > 0 OR COALESCE(ps.eod_stock_quantity, 0) > 0)
+
+        ON CONFLICT (snapshot_date, pid) DO NOTHING; -- Avoid errors if rerunning parts, but prefer clean runs
+
+        GET DIAGNOSTICS _row_count = ROW_COUNT;
+        RAISE NOTICE 'Processed %: Inserted/Skipped % rows. Duration: %',
+                     _current_processing_date,
+                     _row_count,
+                     clock_timestamp() - _batch_start_time;
+
+        _current_processing_date := _current_processing_date + INTERVAL '1 day';
+
+    END LOOP;
+    
+    -- Clean up temporary tables
+    DROP TABLE IF EXISTS temp_product_info;
+
+    RAISE NOTICE 'Finished FINAL historical snapshot backfill.';
+END;
+$$ LANGUAGE plpgsql;
+
+-- Example usage:
+-- SELECT backfill_daily_snapshots_range_final('2023-01-01'::date, '2023-12-31'::date);

inventory-server/old/calculate-metrics.js

@@ -57,25 +57,16 @@ const TEMP_TABLES = [
     'temp_daily_sales',
     'temp_product_stats',
     'temp_category_sales',
-    'temp_category_stats'
+    'temp_category_stats',
+    'temp_beginning_inventory',
+    'temp_monthly_inventory'
 ];
 
 // Add cleanup function for temporary tables
 async function cleanupTemporaryTables(connection) {
-    // List of possible temporary tables that might exist
-    const tempTables = [
-        'temp_sales_metrics',
-        'temp_purchase_metrics',
-        'temp_forecast_dates',
-        'temp_daily_sales',
-        'temp_product_stats',
-        'temp_category_sales',
-        'temp_category_stats'
-    ];
-    
     try {
         // Drop each temporary table if it exists
-        for (const table of tempTables) {
+        for (const table of TEMP_TABLES) {
             await connection.query(`DROP TABLE IF EXISTS ${table}`);
         }
     } catch (err) {
@@ -534,7 +525,7 @@ async function calculateMetrics() {
                 await connection.query(`
                     UPDATE calculate_history 
                     SET 
-                        status = 'error',
+                        status = 'failed',
                         end_time = NOW(),
                         duration_seconds = EXTRACT(EPOCH FROM (NOW() - start_time))::INTEGER,
                         error_message = $1

inventory-server/old/config-schema.sql

@@ -0,0 +1,242 @@
+-- -- Configuration tables schema
+
+
+
+-- -- Stock threshold configurations
+-- CREATE TABLE stock_thresholds (
+--     id INTEGER NOT NULL,
+--     category_id BIGINT,  -- NULL means default/global threshold
+--     vendor VARCHAR(100), -- NULL means applies to all vendors
+--     critical_days INTEGER NOT NULL DEFAULT 7,
+--     reorder_days INTEGER NOT NULL DEFAULT 14,
+--     overstock_days INTEGER NOT NULL DEFAULT 90,
+--     low_stock_threshold INTEGER NOT NULL DEFAULT 5,
+--     min_reorder_quantity INTEGER NOT NULL DEFAULT 1,
+--     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     PRIMARY KEY (id),
+--     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
+--     UNIQUE (category_id, vendor)
+-- );
+
+-- CREATE TRIGGER update_stock_thresholds_updated
+--     BEFORE UPDATE ON stock_thresholds
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- CREATE INDEX idx_st_metrics ON stock_thresholds(category_id, vendor);
+
+-- -- Lead time threshold configurations
+-- CREATE TABLE lead_time_thresholds (
+--     id INTEGER NOT NULL,
+--     category_id BIGINT,  -- NULL means default/global threshold
+--     vendor VARCHAR(100), -- NULL means applies to all vendors
+--     target_days INTEGER NOT NULL DEFAULT 14,
+--     warning_days INTEGER NOT NULL DEFAULT 21,
+--     critical_days INTEGER NOT NULL DEFAULT 30,
+--     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     PRIMARY KEY (id),
+--     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
+--     UNIQUE (category_id, vendor)
+-- );
+
+-- CREATE TRIGGER update_lead_time_thresholds_updated
+--     BEFORE UPDATE ON lead_time_thresholds
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- -- Sales velocity window configurations
+-- CREATE TABLE sales_velocity_config (
+--     id INTEGER NOT NULL,
+--     category_id BIGINT,  -- NULL means default/global threshold
+--     vendor VARCHAR(100), -- NULL means applies to all vendors
+--     daily_window_days INTEGER NOT NULL DEFAULT 30,
+--     weekly_window_days INTEGER NOT NULL DEFAULT 7,
+--     monthly_window_days INTEGER NOT NULL DEFAULT 90,
+--     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     PRIMARY KEY (id),
+--     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
+--     UNIQUE (category_id, vendor)
+-- );
+
+-- CREATE TRIGGER update_sales_velocity_config_updated
+--     BEFORE UPDATE ON sales_velocity_config
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- CREATE INDEX idx_sv_metrics ON sales_velocity_config(category_id, vendor);
+
+-- -- ABC Classification configurations
+-- CREATE TABLE abc_classification_config (
+--     id INTEGER NOT NULL PRIMARY KEY,
+--     a_threshold DECIMAL(5,2) NOT NULL DEFAULT 20.0,
+--     b_threshold DECIMAL(5,2) NOT NULL DEFAULT 50.0,
+--     classification_period_days INTEGER NOT NULL DEFAULT 90,
+--     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
+-- );
+
+-- CREATE TRIGGER update_abc_classification_config_updated
+--     BEFORE UPDATE ON abc_classification_config
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- -- Safety stock configurations
+-- CREATE TABLE safety_stock_config (
+--     id INTEGER NOT NULL,
+--     category_id BIGINT,  -- NULL means default/global threshold
+--     vendor VARCHAR(100), -- NULL means applies to all vendors
+--     coverage_days INTEGER NOT NULL DEFAULT 14,
+--     service_level DECIMAL(5,2) NOT NULL DEFAULT 95.0,
+--     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     PRIMARY KEY (id),
+--     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
+--     UNIQUE (category_id, vendor)
+-- );
+
+-- CREATE TRIGGER update_safety_stock_config_updated
+--     BEFORE UPDATE ON safety_stock_config
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- CREATE INDEX idx_ss_metrics ON safety_stock_config(category_id, vendor);
+
+-- -- Turnover rate configurations
+-- CREATE TABLE turnover_config (
+--     id INTEGER NOT NULL,
+--     category_id BIGINT,  -- NULL means default/global threshold
+--     vendor VARCHAR(100), -- NULL means applies to all vendors
+--     calculation_period_days INTEGER NOT NULL DEFAULT 30,
+--     target_rate DECIMAL(10,2) NOT NULL DEFAULT 1.0,
+--     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     PRIMARY KEY (id),
+--     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
+--     UNIQUE (category_id, vendor)
+-- );
+
+-- CREATE TRIGGER update_turnover_config_updated
+--     BEFORE UPDATE ON turnover_config
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- -- Create table for sales seasonality factors
+-- CREATE TABLE sales_seasonality (
+--     month INTEGER NOT NULL,
+--     seasonality_factor DECIMAL(5,3) DEFAULT 0,
+--     last_updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
+--     PRIMARY KEY (month),
+--     CONSTRAINT month_range CHECK (month BETWEEN 1 AND 12),
+--     CONSTRAINT seasonality_range CHECK (seasonality_factor BETWEEN -1.0 AND 1.0)
+-- );
+
+-- CREATE TRIGGER update_sales_seasonality_updated
+--     BEFORE UPDATE ON sales_seasonality
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- -- Create table for financial calculation parameters
+-- CREATE TABLE financial_calc_config (
+--     id INTEGER NOT NULL PRIMARY KEY,
+--     order_cost DECIMAL(10,2) NOT NULL DEFAULT 25.00, -- The fixed cost per purchase order (used in EOQ)
+--     holding_rate DECIMAL(10,4) NOT NULL DEFAULT 0.25, -- The annual inventory holding cost as a percentage of unit cost (used in EOQ)
+--     service_level_z_score DECIMAL(10,4) NOT NULL DEFAULT 1.96, -- Z-score for ~95% service level (used in Safety Stock)
+--     min_reorder_qty INTEGER NOT NULL DEFAULT 1, -- Minimum reorder quantity 
+--     default_reorder_qty INTEGER NOT NULL DEFAULT 5, -- Default reorder quantity when sales data is insufficient
+--     default_safety_stock INTEGER NOT NULL DEFAULT 5, -- Default safety stock when sales data is insufficient
+--     created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+--     updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
+-- );
+
+-- CREATE TRIGGER update_financial_calc_config_updated
+--     BEFORE UPDATE ON financial_calc_config
+--     FOR EACH ROW
+--     EXECUTE FUNCTION update_updated_at_column();
+
+-- -- Insert default global thresholds
+-- INSERT INTO stock_thresholds (id, category_id, vendor, critical_days, reorder_days, overstock_days)
+-- VALUES (1, NULL, NULL, 7, 14, 90)
+-- ON CONFLICT (id) DO UPDATE SET
+--     critical_days = EXCLUDED.critical_days,
+--     reorder_days = EXCLUDED.reorder_days,
+--     overstock_days = EXCLUDED.overstock_days;
+
+-- INSERT INTO lead_time_thresholds (id, category_id, vendor, target_days, warning_days, critical_days)
+-- VALUES (1, NULL, NULL, 14, 21, 30)
+-- ON CONFLICT (id) DO UPDATE SET
+--     target_days = EXCLUDED.target_days,
+--     warning_days = EXCLUDED.warning_days,
+--     critical_days = EXCLUDED.critical_days;
+
+-- INSERT INTO sales_velocity_config (id, category_id, vendor, daily_window_days, weekly_window_days, monthly_window_days)
+-- VALUES (1, NULL, NULL, 30, 7, 90)
+-- ON CONFLICT (id) DO UPDATE SET
+--     daily_window_days = EXCLUDED.daily_window_days,
+--     weekly_window_days = EXCLUDED.weekly_window_days,
+--     monthly_window_days = EXCLUDED.monthly_window_days;
+
+-- INSERT INTO abc_classification_config (id, a_threshold, b_threshold, classification_period_days)
+-- VALUES (1, 20.0, 50.0, 90)
+-- ON CONFLICT (id) DO UPDATE SET
+--     a_threshold = EXCLUDED.a_threshold,
+--     b_threshold = EXCLUDED.b_threshold,
+--     classification_period_days = EXCLUDED.classification_period_days;
+
+-- INSERT INTO safety_stock_config (id, category_id, vendor, coverage_days, service_level)
+-- VALUES (1, NULL, NULL, 14, 95.0)
+-- ON CONFLICT (id) DO UPDATE SET
+--     coverage_days = EXCLUDED.coverage_days,
+--     service_level = EXCLUDED.service_level;
+
+-- INSERT INTO turnover_config (id, category_id, vendor, calculation_period_days, target_rate)
+-- VALUES (1, NULL, NULL, 30, 1.0)
+-- ON CONFLICT (id) DO UPDATE SET
+--     calculation_period_days = EXCLUDED.calculation_period_days,
+--     target_rate = EXCLUDED.target_rate;
+
+-- -- Insert default seasonality factors (neutral)
+-- INSERT INTO sales_seasonality (month, seasonality_factor)
+-- VALUES 
+--     (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0),
+--     (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0)
+-- ON CONFLICT (month) DO UPDATE SET
+--     last_updated = CURRENT_TIMESTAMP;
+
+-- -- Insert default values
+-- INSERT INTO financial_calc_config (id, order_cost, holding_rate, service_level_z_score, min_reorder_qty, default_reorder_qty, default_safety_stock)
+-- VALUES (1, 25.00, 0.25, 1.96, 1, 5, 5)
+-- ON CONFLICT (id) DO UPDATE SET
+--     order_cost = EXCLUDED.order_cost,
+--     holding_rate = EXCLUDED.holding_rate,
+--     service_level_z_score = EXCLUDED.service_level_z_score,
+--     min_reorder_qty = EXCLUDED.min_reorder_qty,
+--     default_reorder_qty = EXCLUDED.default_reorder_qty,
+--     default_safety_stock = EXCLUDED.default_safety_stock;
+
+-- -- View to show thresholds with category names
+-- CREATE OR REPLACE VIEW stock_thresholds_view AS
+-- SELECT 
+--     st.*,
+--     c.name as category_name,
+--     CASE 
+--         WHEN st.category_id IS NULL AND st.vendor IS NULL THEN 'Global Default'
+--         WHEN st.category_id IS NULL THEN 'Vendor: ' || st.vendor
+--         WHEN st.vendor IS NULL THEN 'Category: ' || c.name
+--         ELSE 'Category: ' || c.name || ' / Vendor: ' || st.vendor
+--     END as threshold_scope
+-- FROM 
+--     stock_thresholds st
+-- LEFT JOIN 
+--     categories c ON st.category_id = c.cat_id
+-- ORDER BY 
+--     CASE 
+--         WHEN st.category_id IS NULL AND st.vendor IS NULL THEN 1
+--         WHEN st.category_id IS NULL THEN 2
+--         WHEN st.vendor IS NULL THEN 3
+--         ELSE 4
+--     END,
+--     c.name,
+--     st.vendor;

inventory-server/old/historical-data.js

@@ -0,0 +1,961 @@
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../scripts/metrics-new/utils/progress');
+const fs = require('fs');
+const path = require('path');
+const { pipeline } = require('stream');
+const { promisify } = require('util');
+
+// Configuration constants to control which tables get imported
+const IMPORT_PRODUCT_CURRENT_PRICES = false;
+const IMPORT_DAILY_INVENTORY = false; 
+const IMPORT_PRODUCT_STAT_HISTORY = true;
+
+// For product stat history, limit to more recent data for faster initial import
+const USE_RECENT_MONTHS = 12; // Just use the most recent months for product_stat_history
+
+/**
+ * Validates a date from MySQL before inserting it into PostgreSQL
+ * @param {string|Date|null} mysqlDate - Date string or object from MySQL
+ * @returns {string|null} Valid date string or null if invalid
+ */
+function validateDate(mysqlDate) {
+  // Handle null, undefined, or empty values
+  if (!mysqlDate) {
+    return null;
+  }
+  
+  // Convert to string if it's not already
+  const dateStr = String(mysqlDate);
+  
+  // Handle MySQL zero dates and empty values
+  if (dateStr === '0000-00-00' || 
+      dateStr === '0000-00-00 00:00:00' ||
+      dateStr.indexOf('0000-00-00') !== -1 ||
+      dateStr === '') {
+    return null;
+  }
+  
+  // Check if the date is valid
+  const date = new Date(mysqlDate);
+  
+  // If the date is invalid or suspiciously old (pre-1970), return null
+  if (isNaN(date.getTime()) || date.getFullYear() < 1970) {
+    return null;
+  }
+  
+  return mysqlDate;
+}
+
+/**
+ * Imports historical data from MySQL to PostgreSQL
+ */
+async function importHistoricalData(
+  prodConnection, 
+  localConnection, 
+  options = {}
+) {
+  const {
+    incrementalUpdate = true,
+    oneYearAgo = new Date(new Date().setFullYear(new Date().getFullYear() - 1))
+  } = options;
+
+  const oneYearAgoStr = oneYearAgo.toISOString().split('T')[0];
+  const startTime = Date.now();
+  
+  // Use larger batch sizes to improve performance
+  const BATCH_SIZE = 5000;  // For fetching from small tables
+  const INSERT_BATCH_SIZE = 500; // For inserting to small tables
+  const LARGE_BATCH_SIZE = 10000; // For fetching from large tables
+  const LARGE_INSERT_BATCH_SIZE = 1000; // For inserting to large tables
+  
+  // Calculate date for recent data
+  const recentDateStr = new Date(
+    new Date().setMonth(new Date().getMonth() - USE_RECENT_MONTHS)
+  ).toISOString().split('T')[0];
+
+  console.log(`Starting import with:
+    - One year ago date: ${oneYearAgoStr}
+    - Recent months date: ${recentDateStr} (for product_stat_history)
+    - Incremental update: ${incrementalUpdate}
+    - Standard batch size: ${BATCH_SIZE}
+    - Standard insert batch size: ${INSERT_BATCH_SIZE}
+    - Large table batch size: ${LARGE_BATCH_SIZE}
+    - Large table insert batch size: ${LARGE_INSERT_BATCH_SIZE}
+    - Import product_current_prices: ${IMPORT_PRODUCT_CURRENT_PRICES}
+    - Import daily_inventory: ${IMPORT_DAILY_INVENTORY}
+    - Import product_stat_history: ${IMPORT_PRODUCT_STAT_HISTORY}`);
+
+  try {
+    // Get last sync time for incremental updates
+    const lastSyncTimes = {};
+    
+    if (incrementalUpdate) {
+      try {
+        const syncResult = await localConnection.query(`
+          SELECT table_name, last_sync_timestamp
+          FROM sync_status
+          WHERE table_name IN (
+            'imported_product_current_prices', 
+            'imported_daily_inventory', 
+            'imported_product_stat_history'
+          )
+        `);
+        
+        // Add check for rows existence and type
+        if (syncResult && Array.isArray(syncResult.rows)) {
+          for (const row of syncResult.rows) {
+            lastSyncTimes[row.table_name] = row.last_sync_timestamp;
+            console.log(`Last sync time for ${row.table_name}: ${row.last_sync_timestamp}`);
+          }
+        } else {
+          console.warn('Sync status query did not return expected rows. Proceeding without last sync times.');
+        }
+      } catch (error) {
+        console.error('Error fetching sync status:', error);
+      }
+    }
+
+    // Determine how many tables will be imported
+    const tablesCount = [
+      IMPORT_PRODUCT_CURRENT_PRICES,
+      IMPORT_DAILY_INVENTORY,
+      IMPORT_PRODUCT_STAT_HISTORY
+    ].filter(Boolean).length;
+
+    // Run all imports sequentially for better reliability
+    console.log(`Starting sequential imports for ${tablesCount} tables...`);
+    outputProgress({
+      status: "running",
+      operation: "Historical data import",
+      message: `Starting sequential imports for ${tablesCount} tables...`,
+      current: 0,
+      total: tablesCount,
+      elapsed: formatElapsedTime(startTime)
+    });
+
+    let progressCount = 0;
+    let productCurrentPricesResult = { recordsAdded: 0, recordsUpdated: 0, totalProcessed: 0, errors: [] };
+    let dailyInventoryResult = { recordsAdded: 0, recordsUpdated: 0, totalProcessed: 0, errors: [] };
+    let productStatHistoryResult = { recordsAdded: 0, recordsUpdated: 0, totalProcessed: 0, errors: [] };
+
+    // Import product current prices
+    if (IMPORT_PRODUCT_CURRENT_PRICES) {
+      console.log('Importing product current prices...');
+      productCurrentPricesResult = await importProductCurrentPrices(
+        prodConnection, 
+        localConnection, 
+        oneYearAgoStr, 
+        lastSyncTimes['imported_product_current_prices'], 
+        BATCH_SIZE,
+        INSERT_BATCH_SIZE,
+        incrementalUpdate,
+        startTime
+      );
+      progressCount++;
+      
+      outputProgress({
+        status: "running",
+        operation: "Historical data import",
+        message: `Completed import ${progressCount} of ${tablesCount}`,
+        current: progressCount,
+        total: tablesCount,
+        elapsed: formatElapsedTime(startTime)
+      });
+    }
+    
+    // Import daily inventory
+    if (IMPORT_DAILY_INVENTORY) {
+      console.log('Importing daily inventory...');
+      dailyInventoryResult = await importDailyInventory(
+        prodConnection, 
+        localConnection, 
+        oneYearAgoStr, 
+        lastSyncTimes['imported_daily_inventory'], 
+        BATCH_SIZE,
+        INSERT_BATCH_SIZE,
+        incrementalUpdate,
+        startTime
+      );
+      progressCount++;
+      
+      outputProgress({
+        status: "running",
+        operation: "Historical data import",
+        message: `Completed import ${progressCount} of ${tablesCount}`,
+        current: progressCount,
+        total: tablesCount,
+        elapsed: formatElapsedTime(startTime)
+      });
+    }
+    
+    // Import product stat history - using optimized approach
+    if (IMPORT_PRODUCT_STAT_HISTORY) {
+      console.log('Importing product stat history...');
+      productStatHistoryResult = await importProductStatHistory(
+        prodConnection, 
+        localConnection, 
+        recentDateStr, // Use more recent date for this massive table 
+        lastSyncTimes['imported_product_stat_history'], 
+        LARGE_BATCH_SIZE,
+        LARGE_INSERT_BATCH_SIZE,
+        incrementalUpdate,
+        startTime,
+        USE_RECENT_MONTHS // Pass the recent months constant
+      );
+      progressCount++;
+      
+      outputProgress({
+        status: "running",
+        operation: "Historical data import",
+        message: `Completed import ${progressCount} of ${tablesCount}`,
+        current: progressCount,
+        total: tablesCount,
+        elapsed: formatElapsedTime(startTime)
+      });
+    }
+
+    // Aggregate results
+    const totalRecordsAdded = 
+      productCurrentPricesResult.recordsAdded + 
+      dailyInventoryResult.recordsAdded + 
+      productStatHistoryResult.recordsAdded;
+    
+    const totalRecordsUpdated = 
+      productCurrentPricesResult.recordsUpdated + 
+      dailyInventoryResult.recordsUpdated + 
+      productStatHistoryResult.recordsUpdated;
+    
+    const totalProcessed = 
+      productCurrentPricesResult.totalProcessed + 
+      dailyInventoryResult.totalProcessed + 
+      productStatHistoryResult.totalProcessed;
+    
+    const allErrors = [
+      ...productCurrentPricesResult.errors,
+      ...dailyInventoryResult.errors,
+      ...productStatHistoryResult.errors
+    ];
+
+    // Log import summary
+    console.log(`
+Historical data import complete:
+-------------------------------
+Records added:   ${totalRecordsAdded}
+Records updated: ${totalRecordsUpdated}
+Total processed: ${totalProcessed}
+Errors:          ${allErrors.length}
+Time taken:      ${formatElapsedTime(startTime)}
+    `);
+
+    // Final progress update
+    outputProgress({
+      status: "complete",
+      operation: "Historical data import",
+      message: `Import complete. Added: ${totalRecordsAdded}, Updated: ${totalRecordsUpdated}, Errors: ${allErrors.length}`,
+      current: tablesCount,
+      total: tablesCount,
+      elapsed: formatElapsedTime(startTime)
+    });
+
+    // Log any errors
+    if (allErrors.length > 0) {
+      console.log('Errors encountered during import:');
+      console.log(JSON.stringify(allErrors, null, 2));
+    }
+
+    // Calculate duration
+    const endTime = Date.now();
+    const durationSeconds = Math.round((endTime - startTime) / 1000);
+    const finalStatus = allErrors.length === 0 ? 'complete' : 'failed';
+    const errorMessage = allErrors.length > 0 ? JSON.stringify(allErrors) : null;
+
+    // Update import history
+    await localConnection.query(`
+      INSERT INTO import_history (
+        table_name, 
+        end_time, 
+        duration_seconds, 
+        records_added, 
+        records_updated, 
+        is_incremental, 
+        status, 
+        error_message,
+        additional_info
+      )
+      VALUES ($1, NOW(), $2, $3, $4, $5, $6, $7, $8)
+    `, [
+      'historical_data_combined',
+      durationSeconds,
+      totalRecordsAdded,
+      totalRecordsUpdated,
+      incrementalUpdate,
+      finalStatus,
+      errorMessage,
+      JSON.stringify({ 
+        totalProcessed,
+        tablesImported: {
+          imported_product_current_prices: IMPORT_PRODUCT_CURRENT_PRICES,
+          imported_daily_inventory: IMPORT_DAILY_INVENTORY,
+          imported_product_stat_history: IMPORT_PRODUCT_STAT_HISTORY
+        }
+      })
+    ]);
+
+    // Return summary
+    return {
+      recordsAdded: totalRecordsAdded,
+      recordsUpdated: totalRecordsUpdated,
+      totalProcessed,
+      errors: allErrors,
+      timeTaken: formatElapsedTime(startTime)
+    };
+  } catch (error) {
+    console.error('Error importing historical data:', error);
+    
+    // Final progress update on error
+    outputProgress({
+      status: "failed",
+      operation: "Historical data import",
+      message: `Import failed: ${error.message}`,
+      elapsed: formatElapsedTime(startTime)
+    });
+
+    throw error;
+  }
+}
+
+/**
+ * Imports product_current_prices data from MySQL to PostgreSQL
+ */
+async function importProductCurrentPrices(
+  prodConnection, 
+  localConnection, 
+  oneYearAgoStr, 
+  lastSyncTime, 
+  batchSize,
+  insertBatchSize,
+  incrementalUpdate,
+  startTime
+) {
+  let recordsAdded = 0;
+  let recordsUpdated = 0;
+  let totalProcessed = 0;
+  let errors = [];
+  let offset = 0;
+  let allProcessed = false;
+
+  try {
+    // Get total count for progress reporting
+    const [countResult] = await prodConnection.query(`
+      SELECT COUNT(*) as total
+      FROM product_current_prices
+      WHERE (date_active >= ? OR date_deactive >= ?)
+        ${incrementalUpdate && lastSyncTime ? `AND date_deactive > ?` : ''}
+    `, [oneYearAgoStr, oneYearAgoStr, ...(incrementalUpdate && lastSyncTime ? [lastSyncTime] : [])]);
+
+    const totalCount = countResult[0].total;
+
+    outputProgress({
+      status: "running",
+      operation: "Historical data import - Product Current Prices",
+      message: `Found ${totalCount} records to process`,
+      current: 0,
+      total: totalCount,
+      elapsed: formatElapsedTime(startTime)
+    });
+
+    // Process in batches for better performance
+    while (!allProcessed) {
+      try {
+        // Fetch batch from production
+        const [rows] = await prodConnection.query(`
+          SELECT
+            price_id,
+            pid,
+            qty_buy,
+            is_min_qty_buy,
+            price_each,
+            qty_limit,
+            no_promo,
+            checkout_offer,
+            active,
+            date_active,
+            date_deactive
+          FROM product_current_prices
+          WHERE (date_active >= ? OR date_deactive >= ?)
+            ${incrementalUpdate && lastSyncTime ? `AND date_deactive > ?` : ''}
+          ORDER BY price_id
+          LIMIT ? OFFSET ?
+        `, [
+          oneYearAgoStr, 
+          oneYearAgoStr, 
+          ...(incrementalUpdate && lastSyncTime ? [lastSyncTime] : []),
+          batchSize,
+          offset
+        ]);
+
+        if (rows.length === 0) {
+          allProcessed = true;
+          break;
+        }
+
+        // Process rows in smaller batches for better performance
+        for (let i = 0; i < rows.length; i += insertBatchSize) {
+          const batch = rows.slice(i, i + insertBatchSize);
+          
+          if (batch.length === 0) continue;
+          
+          try {
+            // Build parameterized query to handle NULL values properly
+            const values = [];
+            const placeholders = [];
+            let placeholderIndex = 1;
+            
+            for (const row of batch) {
+              const rowPlaceholders = [
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`
+              ];
+              
+              placeholders.push(`(${rowPlaceholders.join(', ')})`);
+              
+              values.push(
+                row.price_id,
+                row.pid,
+                row.qty_buy,
+                row.is_min_qty_buy ? true : false,
+                row.price_each,
+                row.qty_limit, // PostgreSQL will handle null values properly
+                row.no_promo ? true : false,
+                row.checkout_offer ? true : false,
+                row.active ? true : false,
+                validateDate(row.date_active),
+                validateDate(row.date_deactive)
+              );
+            }
+            
+            // Execute batch insert
+            const result = await localConnection.query(`
+              WITH ins AS (
+                INSERT INTO imported_product_current_prices (
+                  price_id, pid, qty_buy, is_min_qty_buy, price_each, qty_limit, 
+                  no_promo, checkout_offer, active, date_active, date_deactive
+                )
+                VALUES ${placeholders.join(',\n')}
+                ON CONFLICT (price_id) DO UPDATE SET
+                  pid = EXCLUDED.pid,
+                  qty_buy = EXCLUDED.qty_buy,
+                  is_min_qty_buy = EXCLUDED.is_min_qty_buy,
+                  price_each = EXCLUDED.price_each,
+                  qty_limit = EXCLUDED.qty_limit,
+                  no_promo = EXCLUDED.no_promo,
+                  checkout_offer = EXCLUDED.checkout_offer,
+                  active = EXCLUDED.active,
+                  date_active = EXCLUDED.date_active,
+                  date_deactive = EXCLUDED.date_deactive,
+                  updated = CURRENT_TIMESTAMP
+                RETURNING (xmax = 0) AS inserted
+              )
+              SELECT 
+                COUNT(*) FILTER (WHERE inserted) AS inserted_count, 
+                COUNT(*) FILTER (WHERE NOT inserted) AS updated_count
+              FROM ins
+            `, values);
+            
+            // Safely update counts based on the result
+            if (result && result.rows && result.rows.length > 0) {
+              const insertedCount = parseInt(result.rows[0].inserted_count || 0);
+              const updatedCount = parseInt(result.rows[0].updated_count || 0);
+              
+              recordsAdded += insertedCount;
+              recordsUpdated += updatedCount;
+            }
+          } catch (error) {
+            console.error(`Error in batch import of product_current_prices at offset ${i}:`, error);
+            errors.push({
+              table: 'imported_product_current_prices',
+              batchOffset: i,
+              batchSize: batch.length,
+              error: error.message
+            });
+          }
+        }
+
+        totalProcessed += rows.length;
+        offset += rows.length;
+
+        // Update progress
+        outputProgress({
+          status: "running",
+          operation: "Historical data import - Product Current Prices",
+          message: `Processed ${totalProcessed} of ${totalCount} records`,
+          current: totalProcessed,
+          total: totalCount,
+          elapsed: formatElapsedTime(startTime),
+          remaining: estimateRemaining(startTime, totalProcessed, totalCount),
+          rate: calculateRate(startTime, totalProcessed)
+        });
+      } catch (error) {
+        console.error('Error in batch import of product_current_prices:', error);
+        errors.push({
+          table: 'imported_product_current_prices',
+          error: error.message,
+          offset: offset,
+          batchSize: batchSize
+        });
+        
+        // Try to continue with next batch
+        offset += batchSize;
+      }
+    }
+
+    // Update sync status
+    await localConnection.query(`
+      INSERT INTO sync_status (table_name, last_sync_timestamp)
+      VALUES ('imported_product_current_prices', NOW())
+      ON CONFLICT (table_name) DO UPDATE SET
+        last_sync_timestamp = NOW()
+    `);
+
+    return { recordsAdded, recordsUpdated, totalProcessed, errors };
+  } catch (error) {
+    console.error('Error in product current prices import:', error);
+    return { 
+      recordsAdded, 
+      recordsUpdated, 
+      totalProcessed, 
+      errors: [...errors, { 
+        table: 'imported_product_current_prices',
+        error: error.message
+      }] 
+    };
+  }
+}
+
+/**
+ * Imports daily_inventory data from MySQL to PostgreSQL
+ */
+async function importDailyInventory(
+  prodConnection, 
+  localConnection, 
+  oneYearAgoStr, 
+  lastSyncTime, 
+  batchSize,
+  insertBatchSize,
+  incrementalUpdate,
+  startTime
+) {
+  let recordsAdded = 0;
+  let recordsUpdated = 0;
+  let totalProcessed = 0;
+  let errors = [];
+  let offset = 0;
+  let allProcessed = false;
+
+  try {
+    // Get total count for progress reporting
+    const [countResult] = await prodConnection.query(`
+      SELECT COUNT(*) as total
+      FROM daily_inventory
+      WHERE date >= ?
+        ${incrementalUpdate && lastSyncTime ? `AND stamp > ?` : ''}
+    `, [oneYearAgoStr, ...(incrementalUpdate && lastSyncTime ? [lastSyncTime] : [])]);
+
+    const totalCount = countResult[0].total;
+
+    outputProgress({
+      status: "running",
+      operation: "Historical data import - Daily Inventory",
+      message: `Found ${totalCount} records to process`,
+      current: 0,
+      total: totalCount,
+      elapsed: formatElapsedTime(startTime)
+    });
+
+    // Process in batches for better performance
+    while (!allProcessed) {
+      try {
+        // Fetch batch from production
+        const [rows] = await prodConnection.query(`
+          SELECT
+            date,
+            pid,
+            amountsold,
+            times_sold,
+            qtyreceived,
+            price,
+            costeach,
+            stamp
+          FROM daily_inventory
+          WHERE date >= ?
+            ${incrementalUpdate && lastSyncTime ? `AND stamp > ?` : ''}
+          ORDER BY date, pid
+          LIMIT ? OFFSET ?
+        `, [
+          oneYearAgoStr, 
+          ...(incrementalUpdate && lastSyncTime ? [lastSyncTime] : []),
+          batchSize,
+          offset
+        ]);
+
+        if (rows.length === 0) {
+          allProcessed = true;
+          break;
+        }
+
+        // Process rows in smaller batches for better performance
+        for (let i = 0; i < rows.length; i += insertBatchSize) {
+          const batch = rows.slice(i, i + insertBatchSize);
+          
+          if (batch.length === 0) continue;
+          
+          try {
+            // Build parameterized query to handle NULL values properly
+            const values = [];
+            const placeholders = [];
+            let placeholderIndex = 1;
+            
+            for (const row of batch) {
+              const rowPlaceholders = [
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`
+              ];
+              
+              placeholders.push(`(${rowPlaceholders.join(', ')})`);
+              
+              values.push(
+                validateDate(row.date),
+                row.pid,
+                row.amountsold || 0,
+                row.times_sold || 0,
+                row.qtyreceived || 0,
+                row.price || 0,
+                row.costeach || 0,
+                validateDate(row.stamp)
+              );
+            }
+            
+            // Execute batch insert
+            const result = await localConnection.query(`
+              WITH ins AS (
+                INSERT INTO imported_daily_inventory (
+                  date, pid, amountsold, times_sold, qtyreceived, price, costeach, stamp
+                )
+                VALUES ${placeholders.join(',\n')}
+                ON CONFLICT (date, pid) DO UPDATE SET
+                  amountsold = EXCLUDED.amountsold,
+                  times_sold = EXCLUDED.times_sold,
+                  qtyreceived = EXCLUDED.qtyreceived,
+                  price = EXCLUDED.price,
+                  costeach = EXCLUDED.costeach,
+                  stamp = EXCLUDED.stamp,
+                  updated = CURRENT_TIMESTAMP
+                RETURNING (xmax = 0) AS inserted
+              )
+              SELECT 
+                COUNT(*) FILTER (WHERE inserted) AS inserted_count, 
+                COUNT(*) FILTER (WHERE NOT inserted) AS updated_count
+              FROM ins
+            `, values);
+            
+            // Safely update counts based on the result
+            if (result && result.rows && result.rows.length > 0) {
+              const insertedCount = parseInt(result.rows[0].inserted_count || 0);
+              const updatedCount = parseInt(result.rows[0].updated_count || 0);
+              
+              recordsAdded += insertedCount;
+              recordsUpdated += updatedCount;
+            }
+          } catch (error) {
+            console.error(`Error in batch import of daily_inventory at offset ${i}:`, error);
+            errors.push({
+              table: 'imported_daily_inventory',
+              batchOffset: i,
+              batchSize: batch.length,
+              error: error.message
+            });
+          }
+        }
+
+        totalProcessed += rows.length;
+        offset += rows.length;
+
+        // Update progress
+        outputProgress({
+          status: "running",
+          operation: "Historical data import - Daily Inventory",
+          message: `Processed ${totalProcessed} of ${totalCount} records`,
+          current: totalProcessed,
+          total: totalCount,
+          elapsed: formatElapsedTime(startTime),
+          remaining: estimateRemaining(startTime, totalProcessed, totalCount),
+          rate: calculateRate(startTime, totalProcessed)
+        });
+      } catch (error) {
+        console.error('Error in batch import of daily_inventory:', error);
+        errors.push({
+          table: 'imported_daily_inventory',
+          error: error.message,
+          offset: offset,
+          batchSize: batchSize
+        });
+        
+        // Try to continue with next batch
+        offset += batchSize;
+      }
+    }
+
+    // Update sync status
+    await localConnection.query(`
+      INSERT INTO sync_status (table_name, last_sync_timestamp)
+      VALUES ('imported_daily_inventory', NOW())
+      ON CONFLICT (table_name) DO UPDATE SET
+        last_sync_timestamp = NOW()
+    `);
+
+    return { recordsAdded, recordsUpdated, totalProcessed, errors };
+  } catch (error) {
+    console.error('Error in daily inventory import:', error);
+    return { 
+      recordsAdded, 
+      recordsUpdated, 
+      totalProcessed, 
+      errors: [...errors, { 
+        table: 'imported_daily_inventory',
+        error: error.message
+      }] 
+    };
+  }
+}
+
+/**
+ * Imports product_stat_history data from MySQL to PostgreSQL
+ * Using fast direct inserts without conflict checking
+ */
+async function importProductStatHistory(
+  prodConnection, 
+  localConnection, 
+  recentDateStr, // Use more recent date instead of one year ago
+  lastSyncTime, 
+  batchSize,
+  insertBatchSize,
+  incrementalUpdate,
+  startTime,
+  recentMonths // Add parameter for recent months
+) {
+  let recordsAdded = 0;
+  let recordsUpdated = 0;
+  let totalProcessed = 0;
+  let errors = [];
+  let offset = 0;
+  let allProcessed = false;
+  let lastRateCheck = Date.now();
+  let lastProcessed = 0;
+
+  try {
+    // Get total count for progress reporting
+    const [countResult] = await prodConnection.query(`
+      SELECT COUNT(*) as total
+      FROM product_stat_history
+      WHERE date >= ?
+        ${incrementalUpdate && lastSyncTime ? `AND date > ?` : ''}
+    `, [recentDateStr, ...(incrementalUpdate && lastSyncTime ? [lastSyncTime] : [])]);
+
+    const totalCount = countResult[0].total;
+    console.log(`Found ${totalCount} records to process in product_stat_history (using recent date: ${recentDateStr})`);
+
+    // Progress indicator
+    outputProgress({
+      status: "running",
+      operation: "Historical data import - Product Stat History",
+      message: `Found ${totalCount} records to process (last ${recentMonths} months only)`,
+      current: 0,
+      total: totalCount,
+      elapsed: formatElapsedTime(startTime)
+    });
+
+    // If not incremental, truncate the table first for better performance
+    if (!incrementalUpdate) {
+      console.log('Truncating imported_product_stat_history for full import...');
+      await localConnection.query('TRUNCATE TABLE imported_product_stat_history');
+    } else if (lastSyncTime) {
+      // For incremental updates, delete records that will be reimported
+      console.log(`Deleting records from imported_product_stat_history since ${lastSyncTime}...`);
+      await localConnection.query('DELETE FROM imported_product_stat_history WHERE date > $1', [lastSyncTime]);
+    }
+
+    // Process in batches for better performance
+    while (!allProcessed) {
+      try {
+        // Fetch batch from production with minimal filtering and no sorting
+        const [rows] = await prodConnection.query(`
+          SELECT
+            pid,
+            date,
+            COALESCE(score, 0) as score,
+            COALESCE(score2, 0) as score2,
+            COALESCE(qty_in_baskets, 0) as qty_in_baskets,
+            COALESCE(qty_sold, 0) as qty_sold,
+            COALESCE(notifies_set, 0) as notifies_set,
+            COALESCE(visibility_score, 0) as visibility_score,
+            COALESCE(health_score, 0) as health_score,
+            COALESCE(sold_view_score, 0) as sold_view_score
+          FROM product_stat_history
+          WHERE date >= ?
+            ${incrementalUpdate && lastSyncTime ? `AND date > ?` : ''}
+          LIMIT ? OFFSET ?
+        `, [
+          recentDateStr, 
+          ...(incrementalUpdate && lastSyncTime ? [lastSyncTime] : []),
+          batchSize,
+          offset
+        ]);
+
+        if (rows.length === 0) {
+          allProcessed = true;
+          break;
+        }
+
+        // Process rows in smaller batches for better performance
+        for (let i = 0; i < rows.length; i += insertBatchSize) {
+          const batch = rows.slice(i, i + insertBatchSize);
+          
+          if (batch.length === 0) continue;
+          
+          try {
+            // Build parameterized query to handle NULL values properly
+            const values = [];
+            const placeholders = [];
+            let placeholderIndex = 1;
+            
+            for (const row of batch) {
+              const rowPlaceholders = [
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`,
+                `$${placeholderIndex++}`
+              ];
+              
+              placeholders.push(`(${rowPlaceholders.join(', ')})`);
+              
+              values.push(
+                row.pid,
+                validateDate(row.date),
+                row.score,
+                row.score2,
+                row.qty_in_baskets,
+                row.qty_sold,
+                row.notifies_set,
+                row.visibility_score,
+                row.health_score,
+                row.sold_view_score
+              );
+            }
+            
+            // Execute direct batch insert without conflict checking
+            await localConnection.query(`
+              INSERT INTO imported_product_stat_history (
+                pid, date, score, score2, qty_in_baskets, qty_sold, notifies_set,
+                visibility_score, health_score, sold_view_score
+              )
+              VALUES ${placeholders.join(',\n')}
+            `, values);
+            
+            // All inserts are new records when using this approach
+            recordsAdded += batch.length;
+          } catch (error) {
+            console.error(`Error in batch insert of product_stat_history at offset ${i}:`, error);
+            errors.push({
+              table: 'imported_product_stat_history',
+              batchOffset: i,
+              batchSize: batch.length,
+              error: error.message
+            });
+          }
+        }
+
+        totalProcessed += rows.length;
+        offset += rows.length;
+
+        // Calculate current rate every 10 seconds or 100,000 records
+        const now = Date.now();
+        if (now - lastRateCheck > 10000 || totalProcessed - lastProcessed > 100000) {
+          const timeElapsed = (now - lastRateCheck) / 1000; // seconds
+          const recordsProcessed = totalProcessed - lastProcessed;
+          const currentRate = Math.round(recordsProcessed / timeElapsed);
+          
+          console.log(`Current import rate: ${currentRate} records/second`);
+          
+          lastRateCheck = now;
+          lastProcessed = totalProcessed;
+        }
+
+        // Update progress
+        outputProgress({
+          status: "running",
+          operation: "Historical data import - Product Stat History",
+          message: `Processed ${totalProcessed} of ${totalCount} records`,
+          current: totalProcessed,
+          total: totalCount,
+          elapsed: formatElapsedTime(startTime),
+          remaining: estimateRemaining(startTime, totalProcessed, totalCount),
+          rate: calculateRate(startTime, totalProcessed)
+        });
+      } catch (error) {
+        console.error('Error in batch import of product_stat_history:', error);
+        errors.push({
+          table: 'imported_product_stat_history',
+          error: error.message,
+          offset: offset,
+          batchSize: batchSize
+        });
+        
+        // Try to continue with next batch
+        offset += batchSize;
+      }
+    }
+
+    // Update sync status
+    await localConnection.query(`
+      INSERT INTO sync_status (table_name, last_sync_timestamp)
+      VALUES ('imported_product_stat_history', NOW())
+      ON CONFLICT (table_name) DO UPDATE SET
+        last_sync_timestamp = NOW()
+    `);
+
+    return { recordsAdded, recordsUpdated, totalProcessed, errors };
+  } catch (error) {
+    console.error('Error in product stat history import:', error);
+    return { 
+      recordsAdded, 
+      recordsUpdated, 
+      totalProcessed, 
+      errors: [...errors, { 
+        table: 'imported_product_stat_history',
+        error: error.message
+      }] 
+    };
+  }
+}
+
+module.exports = importHistoricalData; 

inventory-server/old/metrics-schema.sql

@@ -11,15 +11,17 @@ CREATE TABLE temp_sales_metrics (
     avg_margin_percent DECIMAL(10,3),
     first_sale_date DATE,
     last_sale_date DATE,
+    stddev_daily_sales DECIMAL(10,3),
     PRIMARY KEY (pid)
 );
 
 CREATE TABLE temp_purchase_metrics (
     pid BIGINT NOT NULL,
-    avg_lead_time_days INTEGER,
+    avg_lead_time_days DECIMAL(10,2),
     last_purchase_date DATE,
     first_received_date DATE,
     last_received_date DATE,
+    stddev_lead_time_days DECIMAL(10,2),
     PRIMARY KEY (pid)
 );
 
@@ -50,7 +52,7 @@ CREATE TABLE product_metrics (
     gross_profit DECIMAL(10,3),
     gmroi DECIMAL(10,3),
     -- Purchase metrics
-    avg_lead_time_days INTEGER,
+    avg_lead_time_days DECIMAL(10,2),
     last_purchase_date DATE,
     first_received_date DATE,
     last_received_date DATE,

inventory-server/old/metrics/financial-metrics.js

@@ -56,36 +56,94 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
             }
         });
 
-        // Calculate financial metrics with optimized query
+        // First, calculate beginning inventory values (12 months ago)
+        await connection.query(`
+            CREATE TEMPORARY TABLE IF NOT EXISTS temp_beginning_inventory AS
+            WITH beginning_inventory_calc AS (
+                SELECT 
+                    p.pid,
+                    p.stock_quantity as current_quantity,
+                    COALESCE(SUM(o.quantity), 0) as sold_quantity,
+                    COALESCE(SUM(po.received), 0) as received_quantity,
+                    GREATEST(0, (p.stock_quantity + COALESCE(SUM(o.quantity), 0) - COALESCE(SUM(po.received), 0))) as beginning_quantity,
+                    p.cost_price
+                FROM 
+                    products p
+                LEFT JOIN 
+                    orders o ON p.pid = o.pid 
+                    AND o.canceled = false 
+                    AND o.date >= CURRENT_DATE - INTERVAL '12 months'::interval
+                LEFT JOIN 
+                    purchase_orders po ON p.pid = po.pid 
+                    AND po.received_date IS NOT NULL 
+                    AND po.received_date >= CURRENT_DATE - INTERVAL '12 months'::interval
+                GROUP BY 
+                    p.pid, p.stock_quantity, p.cost_price
+            )
+            SELECT 
+                pid,
+                beginning_quantity,
+                beginning_quantity * cost_price as beginning_value,
+                current_quantity * cost_price as current_value,
+                ((beginning_quantity * cost_price) + (current_quantity * cost_price)) / 2 as average_inventory_value
+            FROM 
+                beginning_inventory_calc
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.60);
+        outputProgress({
+            status: 'running',
+            operation: 'Beginning inventory values calculated, computing financial metrics',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1),
+            timing: {
+                start_time: new Date(startTime).toISOString(),
+                end_time: new Date().toISOString(),
+                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
+            }
+        });
+
+        // Calculate financial metrics with optimized query and standard formulas
         await connection.query(`
             WITH product_financials AS (
                 SELECT 
                     p.pid,
-                    p.cost_price * p.stock_quantity as inventory_value,
-                    SUM(o.quantity * o.price) as total_revenue,
-                    SUM(o.quantity * p.cost_price) as cost_of_goods_sold,
-                    SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
+                    COALESCE(bi.average_inventory_value, p.cost_price * p.stock_quantity) as avg_inventory_value,
+                    p.cost_price * p.stock_quantity as current_inventory_value,
+                    SUM(o.quantity * (o.price - COALESCE(o.discount, 0))) as total_revenue,
+                    SUM(o.quantity * COALESCE(o.costeach, 0)) as cost_of_goods_sold,
+                    SUM(o.quantity * (o.price - COALESCE(o.discount, 0) - COALESCE(o.costeach, 0))) as gross_profit,
                     MIN(o.date) as first_sale_date,
                     MAX(o.date) as last_sale_date,
                     EXTRACT(DAY FROM (MAX(o.date)::timestamp with time zone - MIN(o.date)::timestamp with time zone)) + 1 as calculation_period_days,
                     COUNT(DISTINCT DATE(o.date)) as active_days
                 FROM products p
                 LEFT JOIN orders o ON p.pid = o.pid
+                LEFT JOIN temp_beginning_inventory bi ON p.pid = bi.pid
                 WHERE o.canceled = false
-                    AND DATE(o.date) >= CURRENT_DATE - INTERVAL '12 months'
-                GROUP BY p.pid, p.cost_price, p.stock_quantity
+                    AND DATE(o.date) >= CURRENT_DATE - INTERVAL '12 months'::interval
+                GROUP BY p.pid, p.cost_price, p.stock_quantity, bi.average_inventory_value
             )
             UPDATE product_metrics pm
             SET 
-                inventory_value = COALESCE(pf.inventory_value, 0),
-                total_revenue = COALESCE(pf.total_revenue, 0),
-                cost_of_goods_sold = COALESCE(pf.cost_of_goods_sold, 0),
-                gross_profit = COALESCE(pf.gross_profit, 0),
-                gmroi = CASE 
-                    WHEN COALESCE(pf.inventory_value, 0) > 0 AND pf.active_days > 0 THEN 
-                        (COALESCE(pf.gross_profit, 0) * (365.0 / pf.active_days)) / COALESCE(pf.inventory_value, 0)
+                inventory_value = COALESCE(pf.current_inventory_value, 0)::decimal(10,3),
+                total_revenue = COALESCE(pf.total_revenue, 0)::decimal(10,3),
+                cost_of_goods_sold = COALESCE(pf.cost_of_goods_sold, 0)::decimal(10,3),
+                gross_profit = COALESCE(pf.gross_profit, 0)::decimal(10,3),
+                turnover_rate = CASE 
+                    WHEN COALESCE(pf.avg_inventory_value, 0) > 0 THEN 
+                        COALESCE(pf.cost_of_goods_sold, 0) / NULLIF(pf.avg_inventory_value, 0)
                     ELSE 0 
-                END,
+                END::decimal(12,3),
+                gmroi = CASE 
+                    WHEN COALESCE(pf.avg_inventory_value, 0) > 0 THEN 
+                        COALESCE(pf.gross_profit, 0) / NULLIF(pf.avg_inventory_value, 0)
+                    ELSE 0 
+                END::decimal(10,3),
                 last_calculated_at = CURRENT_TIMESTAMP
             FROM product_financials pf
             WHERE pm.pid = pf.pid
@@ -115,53 +173,8 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
             success
         };
 
-        // Update time-based aggregates with optimized query
-        await connection.query(`
-            WITH monthly_financials AS (
-                SELECT 
-                    p.pid,
-                    EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
-                    EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
-                    p.cost_price * p.stock_quantity as inventory_value,
-                    SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
-                    COUNT(DISTINCT DATE(o.date)) as active_days,
-                    MIN(o.date) as period_start,
-                    MAX(o.date) as period_end
-                FROM products p
-                LEFT JOIN orders o ON p.pid = o.pid
-                WHERE o.canceled = false
-                GROUP BY p.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone), p.cost_price, p.stock_quantity
-            )
-            UPDATE product_time_aggregates pta
-            SET 
-                inventory_value = COALESCE(mf.inventory_value, 0),
-                gmroi = CASE 
-                    WHEN COALESCE(mf.inventory_value, 0) > 0 AND mf.active_days > 0 THEN 
-                        (COALESCE(mf.gross_profit, 0) * (365.0 / mf.active_days)) / COALESCE(mf.inventory_value, 0)
-                    ELSE 0 
-                END
-            FROM monthly_financials mf
-            WHERE pta.pid = mf.pid 
-                AND pta.year = mf.year 
-                AND pta.month = mf.month
-        `);
-
-        processedCount = Math.floor(totalProducts * 0.70);
-        outputProgress({
-            status: 'running',
-            operation: 'Time-based aggregates updated',
-            current: processedCount,
-            total: totalProducts,
-            elapsed: formatElapsedTime(startTime),
-            remaining: estimateRemaining(startTime, processedCount, totalProducts),
-            rate: calculateRate(startTime, processedCount),
-            percentage: ((processedCount / totalProducts) * 100).toFixed(1),
-            timing: {
-                start_time: new Date(startTime).toISOString(),
-                end_time: new Date().toISOString(),
-                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
-            }
-        });
+        // Clean up temporary tables
+        await connection.query('DROP TABLE IF EXISTS temp_beginning_inventory');
 
         // If we get here, everything completed successfully
         success = true;
@@ -187,6 +200,12 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
         throw error;
     } finally {
         if (connection) {
+            try {
+                // Make sure temporary tables are always cleaned up
+                await connection.query('DROP TABLE IF EXISTS temp_beginning_inventory');
+            } catch (err) {
+                console.error('Error cleaning up temp tables:', err);
+            }
             connection.release();
         }
     }

inventory-server/old/metrics/product-metrics.js

@@ -66,8 +66,36 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
             WHERE category_id IS NULL AND vendor IS NULL
             LIMIT 1
         `);
+        
+        // Check if threshold data was returned
+        if (!thresholds.rows || thresholds.rows.length === 0) {
+            console.warn('No default thresholds found in the database. Using explicit type casting in the query.');
+        }
+        
         const defaultThresholds = thresholds.rows[0];
 
+        // Get financial calculation configuration parameters
+        const financialConfig = await connection.query(`
+            SELECT 
+                order_cost, 
+                holding_rate, 
+                service_level_z_score,
+                min_reorder_qty,
+                default_reorder_qty,
+                default_safety_stock
+            FROM financial_calc_config 
+            WHERE id = 1
+            LIMIT 1
+        `);
+        const finConfig = financialConfig.rows[0] || { 
+            order_cost: 25.00, 
+            holding_rate: 0.25, 
+            service_level_z_score: 1.96,
+            min_reorder_qty: 1,
+            default_reorder_qty: 5,
+            default_safety_stock: 5
+        };
+
         // Calculate base product metrics
         if (!SKIP_PRODUCT_BASE_METRICS) {
             outputProgress({
@@ -109,6 +137,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                     avg_margin_percent DECIMAL(10,3),
                     first_sale_date DATE,
                     last_sale_date DATE,
+                    stddev_daily_sales DECIMAL(10,3),
                     PRIMARY KEY (pid)
                 )
             `);
@@ -117,10 +146,11 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
             await connection.query(`
                 CREATE TEMPORARY TABLE temp_purchase_metrics (
                     pid BIGINT NOT NULL,
-                    avg_lead_time_days DOUBLE PRECISION,
+                    avg_lead_time_days DECIMAL(10,2),
                     last_purchase_date DATE,
                     first_received_date DATE,
                     last_received_date DATE,
+                    stddev_lead_time_days DECIMAL(10,2),
                     PRIMARY KEY (pid)
                 )
             `);
@@ -140,11 +170,22 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                         ELSE 0 
                     END as avg_margin_percent,
                     MIN(o.date) as first_sale_date,
-                    MAX(o.date) as last_sale_date
+                    MAX(o.date) as last_sale_date,
+                    COALESCE(STDDEV_SAMP(daily_qty.quantity), 0) as stddev_daily_sales
                 FROM products p
                 LEFT JOIN orders o ON p.pid = o.pid 
                     AND o.canceled = false
                     AND o.date >= CURRENT_DATE - INTERVAL '90 days'
+                LEFT JOIN (
+                    SELECT 
+                        pid, 
+                        DATE(date) as sale_date, 
+                        SUM(quantity) as quantity
+                    FROM orders
+                    WHERE canceled = false
+                    AND date >= CURRENT_DATE - INTERVAL '90 days'
+                    GROUP BY pid, DATE(date)
+                ) daily_qty ON p.pid = daily_qty.pid
                 GROUP BY p.pid
             `);
 
@@ -163,7 +204,14 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                         ) as avg_lead_time_days,
                         MAX(po.date) as last_purchase_date,
                         MIN(po.received_date) as first_received_date,
-                        MAX(po.received_date) as last_received_date
+                        MAX(po.received_date) as last_received_date,
+                        STDDEV_SAMP(
+                            CASE 
+                                WHEN po.received_date IS NOT NULL AND po.date IS NOT NULL 
+                                THEN EXTRACT(EPOCH FROM (po.received_date::timestamp with time zone - po.date::timestamp with time zone)) / 86400.0
+                                ELSE NULL
+                            END
+                        ) as stddev_lead_time_days
                     FROM products p
                     LEFT JOIN purchase_orders po ON p.pid = po.pid 
                         AND po.received_date IS NOT NULL
@@ -184,7 +232,8 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                         30.0 as avg_lead_time_days,
                         NULL as last_purchase_date,
                         NULL as first_received_date,
-                        NULL as last_received_date
+                        NULL as last_received_date,
+                        0.0 as stddev_lead_time_days
                     FROM products p
                     LEFT JOIN temp_purchase_metrics tpm ON p.pid = tpm.pid
                     WHERE tpm.pid IS NULL
@@ -208,6 +257,17 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                 if (batch.rows.length === 0) break;
 
                 // Process the entire batch in a single efficient query
+                const lowStockThreshold = parseInt(defaultThresholds?.low_stock_threshold) || 5;
+                const criticalDays = parseInt(defaultThresholds?.critical_days) || 7;
+                const reorderDays = parseInt(defaultThresholds?.reorder_days) || 14;
+                const overstockDays = parseInt(defaultThresholds?.overstock_days) || 90;
+                const serviceLevel = parseFloat(finConfig?.service_level_z_score) || 1.96;
+                const defaultSafetyStock = parseInt(finConfig?.default_safety_stock) || 5;
+                const defaultReorderQty = parseInt(finConfig?.default_reorder_qty) || 5;
+                const orderCost = parseFloat(finConfig?.order_cost) || 25.00;
+                const holdingRate = parseFloat(finConfig?.holding_rate) || 0.25;
+                const minReorderQty = parseInt(finConfig?.min_reorder_qty) || 1;
+
                 await connection.query(`
                     UPDATE product_metrics pm
                     SET 
@@ -219,7 +279,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                         avg_margin_percent = COALESCE(sm.avg_margin_percent, 0),
                         first_sale_date = sm.first_sale_date,
                         last_sale_date = sm.last_sale_date,
-                        avg_lead_time_days = COALESCE(lm.avg_lead_time_days, 30),
+                        avg_lead_time_days = COALESCE(lm.avg_lead_time_days, 30.0),
                         days_of_inventory = CASE 
                             WHEN COALESCE(sm.daily_sales_avg, 0) > 0 
                             THEN FLOOR(p.stock_quantity / NULLIF(sm.daily_sales_avg, 0))
@@ -232,57 +292,61 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                         END,
                         stock_status = CASE
                             WHEN p.stock_quantity <= 0 THEN 'Out of Stock'
-                            WHEN COALESCE(sm.daily_sales_avg, 0) = 0 AND p.stock_quantity <= $1 THEN 'Low Stock'
+                            WHEN COALESCE(sm.daily_sales_avg, 0) = 0 AND p.stock_quantity <= ${lowStockThreshold} THEN 'Low Stock'
                             WHEN COALESCE(sm.daily_sales_avg, 0) = 0 THEN 'In Stock'
-                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= $2 THEN 'Critical'
-                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= $3 THEN 'Reorder'
-                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > $4 THEN 'Overstocked'
+                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= ${criticalDays} THEN 'Critical'
+                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) <= ${reorderDays} THEN 'Reorder'
+                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > ${overstockDays} THEN 'Overstocked'
                             ELSE 'Healthy'
                         END,
                         safety_stock = CASE
-                            WHEN COALESCE(sm.daily_sales_avg, 0) > 0 THEN
-                                CEIL(sm.daily_sales_avg * SQRT(ABS(COALESCE(lm.avg_lead_time_days, 30))) * 1.96)
-                            ELSE $5
+                            WHEN COALESCE(sm.daily_sales_avg, 0) > 0 AND COALESCE(lm.avg_lead_time_days, 0) > 0 THEN
+                                CEIL(
+                                    ${serviceLevel} * SQRT(
+                                        GREATEST(0, COALESCE(lm.avg_lead_time_days, 0)) * POWER(COALESCE(sm.stddev_daily_sales, 0), 2) +
+                                        POWER(COALESCE(sm.daily_sales_avg, 0), 2) * POWER(COALESCE(lm.stddev_lead_time_days, 0), 2)
+                                    )
+                                )
+                            ELSE ${defaultSafetyStock}
                         END,
                         reorder_point = CASE
                             WHEN COALESCE(sm.daily_sales_avg, 0) > 0 THEN
-                                CEIL(sm.daily_sales_avg * COALESCE(lm.avg_lead_time_days, 30)) + 
-                                CEIL(sm.daily_sales_avg * SQRT(ABS(COALESCE(lm.avg_lead_time_days, 30))) * 1.96)
-                            ELSE $6
+                                CEIL(sm.daily_sales_avg * GREATEST(0, COALESCE(lm.avg_lead_time_days, 30.0))) + 
+                                (CASE
+                                    WHEN COALESCE(sm.daily_sales_avg, 0) > 0 AND COALESCE(lm.avg_lead_time_days, 0) > 0 THEN
+                                        CEIL(
+                                            ${serviceLevel} * SQRT(
+                                                GREATEST(0, COALESCE(lm.avg_lead_time_days, 0)) * POWER(COALESCE(sm.stddev_daily_sales, 0), 2) +
+                                                POWER(COALESCE(sm.daily_sales_avg, 0), 2) * POWER(COALESCE(lm.stddev_lead_time_days, 0), 2)
+                                            )
+                                        )
+                                    ELSE ${defaultSafetyStock}
+                                END)
+                            ELSE ${lowStockThreshold}
                         END,
                         reorder_qty = CASE
                             WHEN COALESCE(sm.daily_sales_avg, 0) > 0 AND NULLIF(p.cost_price, 0) IS NOT NULL AND NULLIF(p.cost_price, 0) > 0 THEN
                                 GREATEST(
-                                    CEIL(SQRT(ABS((2 * (sm.daily_sales_avg * 365) * 25) / (NULLIF(p.cost_price, 0) * 0.25)))),
-                                    $7
+                                    CEIL(SQRT(
+                                        (2 * (sm.daily_sales_avg * 365) * ${orderCost}) / 
+                                        NULLIF(p.cost_price * ${holdingRate}, 0) 
+                                    )),
+                                    ${minReorderQty}
                                 )
-                            ELSE $8
+                            ELSE ${defaultReorderQty}
                         END,
                         overstocked_amt = CASE
-                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > $9 
-                            THEN GREATEST(0, p.stock_quantity - CEIL(sm.daily_sales_avg * $10))
+                            WHEN p.stock_quantity / NULLIF(sm.daily_sales_avg, 0) > ${overstockDays} 
+                            THEN GREATEST(0, p.stock_quantity - CEIL(sm.daily_sales_avg * ${overstockDays}))
                             ELSE 0
                         END,
                         last_calculated_at = NOW()
                     FROM products p
                     LEFT JOIN temp_sales_metrics sm ON p.pid = sm.pid
                     LEFT JOIN temp_purchase_metrics lm ON p.pid = lm.pid
-                    WHERE p.pid = ANY($11::bigint[])
+                    WHERE p.pid = ANY($1::BIGINT[])
                     AND pm.pid = p.pid
-                `,
-                [
-                    defaultThresholds.low_stock_threshold,
-                    defaultThresholds.critical_days,
-                    defaultThresholds.reorder_days,
-                    defaultThresholds.overstock_days,
-                    defaultThresholds.low_stock_threshold,
-                    defaultThresholds.low_stock_threshold,
-                    defaultThresholds.low_stock_threshold,
-                    defaultThresholds.low_stock_threshold,
-                    defaultThresholds.overstock_days,
-                    defaultThresholds.overstock_days,
-                    batch.rows.map(row => row.pid)
-                ]);
+                `, [batch.rows.map(row => row.pid)]);
 
                 lastPid = batch.rows[batch.rows.length - 1].pid;
                 processedCount += batch.rows.length;
@@ -311,25 +375,22 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
         }
 
         // Calculate forecast accuracy and bias in batches
-        lastPid = 0;
+        let forecastPid = 0;
         while (true) {
             if (isCancelled) break;
 
-            const batch = await connection.query(
+            const forecastBatch = await connection.query(
                 'SELECT pid FROM products WHERE pid > $1 ORDER BY pid LIMIT $2',
-                [lastPid, BATCH_SIZE]
+                [forecastPid, BATCH_SIZE]
             );
 
-            if (batch.rows.length === 0) break;
+            if (forecastBatch.rows.length === 0) break;
 
+            const forecastPidArray = forecastBatch.rows.map(row => row.pid);
+
+            // Use array_to_string to convert the array to a string of comma-separated values
             await connection.query(`
-                UPDATE product_metrics pm
-                SET 
-                    forecast_accuracy = GREATEST(0, 100 - LEAST(fa.avg_forecast_error, 100)),
-                    forecast_bias = GREATEST(-100, LEAST(fa.avg_forecast_bias, 100)),
-                    last_forecast_date = fa.last_forecast_date,
-                    last_calculated_at = NOW()
-                FROM (
+                WITH forecast_metrics AS (
                     SELECT 
                         sf.pid,
                         AVG(CASE 
@@ -348,13 +409,20 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                         AND DATE(o.date) = sf.forecast_date
                     WHERE o.canceled = false
                         AND sf.forecast_date >= CURRENT_DATE - INTERVAL '90 days'
-                        AND sf.pid = ANY($1::bigint[])
+                        AND sf.pid = ANY('{${forecastPidArray.join(',')}}'::BIGINT[])
                     GROUP BY sf.pid
-                ) fa
-                WHERE pm.pid = fa.pid
-            `, [batch.rows.map(row => row.pid)]);
+                )
+                UPDATE product_metrics pm
+                SET 
+                    forecast_accuracy = GREATEST(0, 100 - LEAST(fm.avg_forecast_error, 100)),
+                    forecast_bias = GREATEST(-100, LEAST(fm.avg_forecast_bias, 100)),
+                    last_forecast_date = fm.last_forecast_date,
+                    last_calculated_at = NOW()
+                FROM forecast_metrics fm
+                WHERE pm.pid = fm.pid
+            `);
 
-            lastPid = batch.rows[batch.rows.length - 1].pid;
+            forecastPid = forecastBatch.rows[forecastBatch.rows.length - 1].pid;
         }
 
         // Calculate product time aggregates
@@ -375,61 +443,12 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                 }
             });
 
-            // Calculate time-based aggregates
-            await connection.query(`
-                INSERT INTO product_time_aggregates (
-                    pid,
-                    year,
-                    month,
-                    total_quantity_sold,
-                    total_revenue,
-                    total_cost,
-                    order_count,
-                    avg_price,
-                    profit_margin,
-                    inventory_value,
-                    gmroi
-                )
-                SELECT 
-                    p.pid,
-                    EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
-                    EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
-                    SUM(o.quantity) as total_quantity_sold,
-                    SUM(o.price * o.quantity) as total_revenue,
-                    SUM(p.cost_price * o.quantity) as total_cost,
-                    COUNT(DISTINCT o.order_number) as order_count,
-                    AVG(o.price) as avg_price,
-                    CASE 
-                        WHEN SUM(o.quantity * o.price) > 0 
-                        THEN ((SUM(o.quantity * o.price) - SUM(o.quantity * p.cost_price)) / SUM(o.quantity * o.price)) * 100
-                        ELSE 0 
-                    END as profit_margin,
-                    p.cost_price * p.stock_quantity as inventory_value,
-                    CASE 
-                        WHEN p.cost_price * p.stock_quantity > 0 
-                        THEN (SUM(o.quantity * (o.price - p.cost_price))) / (p.cost_price * p.stock_quantity)
-                        ELSE 0 
-                    END as gmroi
-                FROM products p
-                LEFT JOIN orders o ON p.pid = o.pid AND o.canceled = false
-                WHERE o.date >= CURRENT_DATE - INTERVAL '12 months'
-                GROUP BY p.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone)
-                ON CONFLICT (pid, year, month) DO UPDATE
-                SET
-                    total_quantity_sold = EXCLUDED.total_quantity_sold,
-                    total_revenue = EXCLUDED.total_revenue,
-                    total_cost = EXCLUDED.total_cost,
-                    order_count = EXCLUDED.order_count,
-                    avg_price = EXCLUDED.avg_price,
-                    profit_margin = EXCLUDED.profit_margin,
-                    inventory_value = EXCLUDED.inventory_value,
-                    gmroi = EXCLUDED.gmroi
-            `);
-
+            // Note: The time-aggregates calculation has been moved to time-aggregates.js
+            // This module will not duplicate that functionality
             processedCount = Math.floor(totalProducts * 0.6);
             outputProgress({
                 status: 'running',
-                operation: 'Product time aggregates calculated',
+                operation: 'Product time aggregates calculation delegated to time-aggregates module',
                 current: processedCount || 0,
                 total: totalProducts || 0,
                 elapsed: formatElapsedTime(startTime),
@@ -488,6 +507,10 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
         const abcConfig = await connection.query('SELECT a_threshold, b_threshold FROM abc_classification_config WHERE id = 1');
         const abcThresholds = abcConfig.rows[0] || { a_threshold: 20, b_threshold: 50 };
         
+        // Extract values and ensure they are valid numbers
+        const aThreshold = parseFloat(abcThresholds.a_threshold) || 20;
+        const bThreshold = parseFloat(abcThresholds.b_threshold) || 50;
+
         // First, create and populate the rankings table with an index
         await connection.query('DROP TABLE IF EXISTS temp_revenue_ranks');
         await connection.query(`
@@ -557,13 +580,13 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                     OR pm.abc_class != 
                         CASE 
                             WHEN tr.pid IS NULL THEN 'C'
-                            WHEN tr.percentile <= $2 THEN 'A'
-                            WHEN tr.percentile <= $3 THEN 'B'
+                            WHEN tr.percentile <= ${aThreshold} THEN 'A'
+                            WHEN tr.percentile <= ${bThreshold} THEN 'B'
                             ELSE 'C'
                         END)
                 ORDER BY pm.pid
-                LIMIT $4
-            `, [abcProcessedCount, abcThresholds.a_threshold, abcThresholds.b_threshold, batchSize]);
+                LIMIT $2
+            `, [abcProcessedCount, batchSize]);
 
             if (pids.rows.length === 0) break;
 
@@ -574,15 +597,15 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                 SET abc_class = 
                     CASE 
                         WHEN tr.pid IS NULL THEN 'C'
-                        WHEN tr.percentile <= $1 THEN 'A'
-                        WHEN tr.percentile <= $2 THEN 'B'
+                        WHEN tr.percentile <= ${aThreshold} THEN 'A'
+                        WHEN tr.percentile <= ${bThreshold} THEN 'B'
                         ELSE 'C'
                     END,
                     last_calculated_at = NOW()
                 FROM (SELECT pid, percentile FROM temp_revenue_ranks) tr
-                WHERE pm.pid = tr.pid AND pm.pid = ANY($3::bigint[])
-                OR (pm.pid = ANY($3::bigint[]) AND tr.pid IS NULL)
-            `, [abcThresholds.a_threshold, abcThresholds.b_threshold, pidValues]);
+                WHERE pm.pid = tr.pid AND pm.pid = ANY($1::BIGINT[])
+                OR (pm.pid = ANY($1::BIGINT[]) AND tr.pid IS NULL)
+            `, [pidValues]);
 
             // Now update turnover rate with proper handling of zero inventory periods
             await connection.query(`
@@ -610,7 +633,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                     JOIN products p ON o.pid = p.pid
                     WHERE o.canceled = false 
                     AND o.date >= CURRENT_DATE - INTERVAL '90 days'
-                    AND o.pid = ANY($1::bigint[])
+                    AND o.pid = ANY($1::BIGINT[])
                     GROUP BY o.pid
                 ) sales
                 WHERE pm.pid = sales.pid
@@ -707,40 +730,7 @@ function calculateStockStatus(stock, config, daily_sales_avg, weekly_sales_avg,
     return 'Healthy';
 }
 
-function calculateReorderQuantities(stock, stock_status, daily_sales_avg, avg_lead_time, config) {
-    // Calculate safety stock based on service level and lead time
-    const z_score = 1.96; // 95% service level
-    const lead_time = avg_lead_time || config.target_days;
-    const safety_stock = Math.ceil(daily_sales_avg * Math.sqrt(lead_time) * z_score);
-
-    // Calculate reorder point
-    const lead_time_demand = daily_sales_avg * lead_time;
-    const reorder_point = Math.ceil(lead_time_demand + safety_stock);
-
-    // Calculate reorder quantity using EOQ formula if we have the necessary data
-    let reorder_qty = 0;
-    if (daily_sales_avg > 0) {
-        const annual_demand = daily_sales_avg * 365;
-        const order_cost = 25; // Fixed cost per order
-        const holding_cost = config.cost_price * 0.25; // 25% of unit cost as annual holding cost
-        
-        reorder_qty = Math.ceil(Math.sqrt((2 * annual_demand * order_cost) / holding_cost));
-    } else {
-        // If no sales data, use a basic calculation
-        reorder_qty = Math.max(safety_stock, config.low_stock_threshold);
-    }
-
-    // Calculate overstocked amount
-    const overstocked_amt = stock_status === 'Overstocked' ? 
-        stock - Math.ceil(daily_sales_avg * config.overstock_days) : 
-        0;
-
-    return {
-        safety_stock,
-        reorder_point,
-        reorder_qty,
-        overstocked_amt
-    };
-}
+// Note: calculateReorderQuantities function has been removed as its logic has been incorporated 
+// in the main SQL query with configurable parameters
 
 module.exports = calculateProductMetrics; 

inventory-server/old/metrics/sales-forecasts.js

@@ -216,13 +216,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
                 GREATEST(0, 
                     ROUND(
                         ds.avg_daily_qty * 
-                        (1 + COALESCE(sf.seasonality_factor, 0)) *
-                        CASE
-                            WHEN ds.std_daily_qty / NULLIF(ds.avg_daily_qty, 0) > 1.5 THEN 0.85
-                            WHEN ds.std_daily_qty / NULLIF(ds.avg_daily_qty, 0) > 1.0 THEN 0.9
-                            WHEN ds.std_daily_qty / NULLIF(ds.avg_daily_qty, 0) > 0.5 THEN 0.95
-                            ELSE 1.0
-                        END
+                        (1 + COALESCE(sf.seasonality_factor, 0))
                     )
                 ) as forecast_quantity,
                 CASE
@@ -336,8 +330,8 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
                 cs.cat_id::bigint as category_id,
                 fd.forecast_date,
                 GREATEST(0, 
-                    AVG(cs.daily_quantity) * 
-                    (1 + COALESCE(sf.seasonality_factor, 0))
+                    ROUND(AVG(cs.daily_quantity) * 
+                    (1 + COALESCE(sf.seasonality_factor, 0)))
                 ) as forecast_units,
                 GREATEST(0, 
                     COALESCE(
@@ -345,8 +339,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
                             WHEN SUM(cs.day_count) >= 4 THEN AVG(cs.daily_revenue)
                             ELSE ct.overall_avg_revenue
                         END * 
-                        (1 + COALESCE(sf.seasonality_factor, 0)) *
-                        (0.95 + (random() * 0.1)),
+                        (1 + COALESCE(sf.seasonality_factor, 0)),
                         0
                     )
                 ) as forecast_revenue,
@@ -427,6 +420,18 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
         throw error;
     } finally {
         if (connection) {
+            try {
+                // Ensure temporary tables are cleaned up
+                await connection.query(`
+                    DROP TABLE IF EXISTS temp_forecast_dates;
+                    DROP TABLE IF EXISTS temp_daily_sales;
+                    DROP TABLE IF EXISTS temp_product_stats;
+                    DROP TABLE IF EXISTS temp_category_sales;
+                    DROP TABLE IF EXISTS temp_category_stats;
+                `);
+            } catch (err) {
+                console.error('Error cleaning up temporary tables:', err);
+            }
             connection.release();
         }
     }

inventory-server/old/metrics/time-aggregates.js

@@ -55,6 +55,93 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
             }
         });
 
+        // Create a temporary table for end-of-month inventory values
+        await connection.query(`
+            CREATE TEMPORARY TABLE IF NOT EXISTS temp_monthly_inventory AS
+            WITH months AS (
+                -- Generate all year/month combinations for the last 12 months
+                SELECT 
+                    EXTRACT(YEAR FROM month_date)::INTEGER as year,
+                    EXTRACT(MONTH FROM month_date)::INTEGER as month,
+                    month_date as start_date,
+                    (month_date + INTERVAL '1 month'::interval - INTERVAL '1 day'::interval)::DATE as end_date
+                FROM (
+                    SELECT generate_series(
+                        DATE_TRUNC('month', CURRENT_DATE - INTERVAL '12 months'::interval)::DATE,
+                        DATE_TRUNC('month', CURRENT_DATE)::DATE,
+                        INTERVAL '1 month'::interval
+                    ) as month_date
+                ) dates
+            ),
+            monthly_inventory_calc AS (
+                SELECT 
+                    p.pid,
+                    m.year,
+                    m.month,
+                    m.end_date,
+                    p.stock_quantity as current_quantity,
+                    -- Calculate sold during period (before end_date)
+                    COALESCE(SUM(
+                        CASE 
+                            WHEN o.date <= m.end_date THEN o.quantity 
+                            ELSE 0 
+                        END
+                    ), 0) as sold_after_end_date,
+                    -- Calculate received during period (before end_date)
+                    COALESCE(SUM(
+                        CASE 
+                            WHEN po.received_date <= m.end_date THEN po.received 
+                            ELSE 0 
+                        END
+                    ), 0) as received_after_end_date,
+                    p.cost_price
+                FROM 
+                    products p
+                CROSS JOIN 
+                    months m
+                LEFT JOIN 
+                    orders o ON p.pid = o.pid 
+                    AND o.canceled = false 
+                    AND o.date > m.end_date
+                    AND o.date <= CURRENT_DATE
+                LEFT JOIN 
+                    purchase_orders po ON p.pid = po.pid 
+                    AND po.received_date IS NOT NULL 
+                    AND po.received_date > m.end_date
+                    AND po.received_date <= CURRENT_DATE
+                GROUP BY 
+                    p.pid, m.year, m.month, m.end_date, p.stock_quantity, p.cost_price
+            )
+            SELECT 
+                pid,
+                year,
+                month,
+                -- End of month quantity = current quantity - sold after + received after
+                GREATEST(0, current_quantity - sold_after_end_date + received_after_end_date) as end_of_month_quantity,
+                -- End of month inventory value
+                GREATEST(0, current_quantity - sold_after_end_date + received_after_end_date) * cost_price as end_of_month_value,
+                cost_price
+            FROM 
+                monthly_inventory_calc
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.40);
+        outputProgress({
+            status: 'running',
+            operation: 'Monthly inventory values calculated, processing time aggregates',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1),
+            timing: {
+                start_time: new Date(startTime).toISOString(),
+                end_time: new Date().toISOString(),
+                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
+            }
+        });
+
         // Initial insert of time-based aggregates
         await connection.query(`
             INSERT INTO product_time_aggregates (
@@ -75,76 +162,67 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
             WITH monthly_sales AS (
                 SELECT 
                     o.pid,
-                    EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
-                    EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
+                    EXTRACT(YEAR FROM o.date::timestamp with time zone)::INTEGER as year,
+                    EXTRACT(MONTH FROM o.date::timestamp with time zone)::INTEGER as month,
                     SUM(o.quantity) as total_quantity_sold,
                     SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) as total_revenue,
-                    SUM(COALESCE(p.cost_price, 0) * o.quantity) as total_cost,
+                    SUM(COALESCE(o.costeach, 0) * o.quantity) as total_cost,
                     COUNT(DISTINCT o.order_number) as order_count,
                     AVG(o.price - COALESCE(o.discount, 0)) as avg_price,
                     CASE 
                         WHEN SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) > 0 
-                        THEN ((SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) - SUM(COALESCE(p.cost_price, 0) * o.quantity)) 
+                        THEN ((SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) - SUM(COALESCE(o.costeach, 0) * o.quantity)) 
                             / SUM((o.price - COALESCE(o.discount, 0)) * o.quantity)) * 100
                         ELSE 0 
                     END as profit_margin,
-                    p.cost_price * p.stock_quantity as inventory_value,
                     COUNT(DISTINCT DATE(o.date)) as active_days
                 FROM orders o
                 JOIN products p ON o.pid = p.pid
                 WHERE o.canceled = false
-                GROUP BY o.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone), p.cost_price, p.stock_quantity
+                GROUP BY o.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone)
             ),
             monthly_stock AS (
                 SELECT 
                     pid,
-                    EXTRACT(YEAR FROM date::timestamp with time zone) as year,
-                    EXTRACT(MONTH FROM date::timestamp with time zone) as month,
+                    EXTRACT(YEAR FROM date::timestamp with time zone)::INTEGER as year,
+                    EXTRACT(MONTH FROM date::timestamp with time zone)::INTEGER as month,
                     SUM(received) as stock_received,
                     SUM(ordered) as stock_ordered
                 FROM purchase_orders
                 GROUP BY pid, EXTRACT(YEAR FROM date::timestamp with time zone), EXTRACT(MONTH FROM date::timestamp with time zone)
-            ),
-            base_products AS (
-                SELECT 
-                    p.pid,
-                    p.cost_price * p.stock_quantity as inventory_value
-                FROM products p
             )
             SELECT 
-                COALESCE(s.pid, ms.pid) as pid,
-                COALESCE(s.year, ms.year) as year,
-                COALESCE(s.month, ms.month) as month,
-                COALESCE(s.total_quantity_sold, 0) as total_quantity_sold,
-                COALESCE(s.total_revenue, 0) as total_revenue,
-                COALESCE(s.total_cost, 0) as total_cost,
-                COALESCE(s.order_count, 0) as order_count,
-                COALESCE(ms.stock_received, 0) as stock_received,
-                COALESCE(ms.stock_ordered, 0) as stock_ordered,
-                COALESCE(s.avg_price, 0) as avg_price,
-                COALESCE(s.profit_margin, 0) as profit_margin,
-                COALESCE(s.inventory_value, bp.inventory_value, 0) as inventory_value,
+                COALESCE(s.pid, ms.pid, mi.pid) as pid,
+                COALESCE(s.year, ms.year, mi.year) as year,
+                COALESCE(s.month, ms.month, mi.month) as month,
+                COALESCE(s.total_quantity_sold, 0)::INTEGER as total_quantity_sold,
+                COALESCE(s.total_revenue, 0)::DECIMAL(10,3) as total_revenue,
+                COALESCE(s.total_cost, 0)::DECIMAL(10,3) as total_cost,
+                COALESCE(s.order_count, 0)::INTEGER as order_count,
+                COALESCE(ms.stock_received, 0)::INTEGER as stock_received,
+                COALESCE(ms.stock_ordered, 0)::INTEGER as stock_ordered,
+                COALESCE(s.avg_price, 0)::DECIMAL(10,3) as avg_price,
+                COALESCE(s.profit_margin, 0)::DECIMAL(10,3) as profit_margin,
+                COALESCE(mi.end_of_month_value, 0)::DECIMAL(10,3) as inventory_value,
                 CASE 
-                    WHEN COALESCE(s.inventory_value, bp.inventory_value, 0) > 0 
-                        AND COALESCE(s.active_days, 0) > 0 
-                    THEN (COALESCE(s.total_revenue - s.total_cost, 0) * (365.0 / s.active_days)) 
-                        / COALESCE(s.inventory_value, bp.inventory_value)
+                    WHEN COALESCE(mi.end_of_month_value, 0) > 0 
+                    THEN (COALESCE(s.total_revenue, 0) - COALESCE(s.total_cost, 0)) 
+                        / NULLIF(COALESCE(mi.end_of_month_value, 0), 0)
                     ELSE 0 
-                END as gmroi
+                END::DECIMAL(10,3) as gmroi
             FROM (
                 SELECT * FROM monthly_sales s
                 UNION ALL
                 SELECT 
-                    ms.pid,
-                    ms.year,
-                    ms.month,
+                    pid,
+                    year,
+                    month,
                     0 as total_quantity_sold,
                     0 as total_revenue,
                     0 as total_cost,
                     0 as order_count,
                     NULL as avg_price,
                     0 as profit_margin,
-                    NULL as inventory_value,
                     0 as active_days
                 FROM monthly_stock ms
                 WHERE NOT EXISTS (
@@ -153,50 +231,40 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
                     AND s2.year = ms.year
                     AND s2.month = ms.month
                 )
+                UNION ALL
+                SELECT 
+                    pid,
+                    year,
+                    month,
+                    0 as total_quantity_sold,
+                    0 as total_revenue,
+                    0 as total_cost,
+                    0 as order_count,
+                    NULL as avg_price,
+                    0 as profit_margin,
+                    0 as active_days
+                FROM temp_monthly_inventory mi
+                WHERE NOT EXISTS (
+                    SELECT 1 FROM monthly_sales s3
+                    WHERE s3.pid = mi.pid
+                    AND s3.year = mi.year
+                    AND s3.month = mi.month
+                )
+                AND NOT EXISTS (
+                    SELECT 1 FROM monthly_stock ms3
+                    WHERE ms3.pid = mi.pid
+                    AND ms3.year = mi.year
+                    AND ms3.month = mi.month
+                )
             ) s
             LEFT JOIN monthly_stock ms 
                 ON s.pid = ms.pid 
                 AND s.year = ms.year 
                 AND s.month = ms.month
-            JOIN base_products bp ON COALESCE(s.pid, ms.pid) = bp.pid
-            UNION
-            SELECT 
-                ms.pid,
-                ms.year,
-                ms.month,
-                0 as total_quantity_sold,
-                0 as total_revenue,
-                0 as total_cost,
-                0 as order_count,
-                ms.stock_received,
-                ms.stock_ordered,
-                0 as avg_price,
-                0 as profit_margin,
-                bp.inventory_value,
-                0 as gmroi
-            FROM monthly_stock ms
-            JOIN base_products bp ON ms.pid = bp.pid
-            WHERE NOT EXISTS (
-                SELECT 1 FROM (
-                    SELECT * FROM monthly_sales
-                    UNION ALL
-                    SELECT 
-                        ms2.pid,
-                        ms2.year,
-                        ms2.month,
-                        0, 0, 0, 0, NULL, 0, NULL, 0
-                    FROM monthly_stock ms2
-                    WHERE NOT EXISTS (
-                        SELECT 1 FROM monthly_sales s2
-                        WHERE s2.pid = ms2.pid
-                        AND s2.year = ms2.year
-                        AND s2.month = ms2.month
-                    )
-                ) s
-                WHERE s.pid = ms.pid
-                AND s.year = ms.year
-                AND s.month = ms.month
-            )
+            LEFT JOIN temp_monthly_inventory mi
+                ON s.pid = mi.pid
+                AND s.year = mi.year
+                AND s.month = mi.month
             ON CONFLICT (pid, year, month) DO UPDATE
             SET
                 total_quantity_sold = EXCLUDED.total_quantity_sold,
@@ -214,7 +282,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
         processedCount = Math.floor(totalProducts * 0.60);
         outputProgress({
             status: 'running',
-            operation: 'Base time aggregates calculated, updating financial metrics',
+            operation: 'Base time aggregates calculated',
             current: processedCount,
             total: totalProducts,
             elapsed: formatElapsedTime(startTime),
@@ -235,44 +303,8 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
             success
         };
         
-        // Update with financial metrics
-        await connection.query(`
-            UPDATE product_time_aggregates pta
-            SET inventory_value = COALESCE(fin.inventory_value, 0)
-            FROM (
-                SELECT 
-                    p.pid,
-                    EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
-                    EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
-                    p.cost_price * p.stock_quantity as inventory_value,
-                    SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
-                    COUNT(DISTINCT DATE(o.date)) as active_days
-                FROM products p
-                LEFT JOIN orders o ON p.pid = o.pid
-                WHERE o.canceled = false
-                GROUP BY p.pid, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone), p.cost_price, p.stock_quantity
-            ) fin
-            WHERE pta.pid = fin.pid 
-                AND pta.year = fin.year 
-                AND pta.month = fin.month
-        `);
-
-        processedCount = Math.floor(totalProducts * 0.65);
-        outputProgress({
-            status: 'running',
-            operation: 'Financial metrics updated',
-            current: processedCount,
-            total: totalProducts,
-            elapsed: formatElapsedTime(startTime),
-            remaining: estimateRemaining(startTime, processedCount, totalProducts),
-            rate: calculateRate(startTime, processedCount),
-            percentage: ((processedCount / totalProducts) * 100).toFixed(1),
-            timing: {
-                start_time: new Date(startTime).toISOString(),
-                end_time: new Date().toISOString(),
-                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
-            }
-        });
+        // Clean up temporary tables
+        await connection.query('DROP TABLE IF EXISTS temp_monthly_inventory');
 
         // If we get here, everything completed successfully
         success = true;
@@ -298,6 +330,12 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
         throw error;
     } finally {
         if (connection) {
+            try {
+                // Ensure temporary tables are cleaned up
+                await connection.query('DROP TABLE IF EXISTS temp_monthly_inventory');
+            } catch (err) {
+                console.error('Error cleaning up temporary tables:', err);
+            }
             connection.release();
         }
     }

inventory-server/old/populate-initial-metrics.js

@@ -0,0 +1,677 @@
+const path = require('path');
+const fs = require('fs');
+const os = require('os'); // For detecting CPU cores
+
+// Get the base directory (the directory containing the inventory-server folder)
+const baseDir = path.resolve(__dirname, '../../..');
+
+// Load environment variables from the inventory-server directory
+require('dotenv').config({ path: path.resolve(__dirname, '../..', '.env') });
+
+// Configure statement timeout (30 minutes)
+const PG_STATEMENT_TIMEOUT_MS = 1800000;
+
+// Add error handler for uncaught exceptions
+process.on('uncaughtException', (error) => {
+    console.error('Uncaught Exception:', error);
+    process.exit(1);
+});
+
+// Add error handler for unhandled promise rejections
+process.on('unhandledRejection', (reason, promise) => {
+    console.error('Unhandled Rejection at:', promise, 'reason:', reason);
+    process.exit(1);
+});
+
+// Load progress module
+const progress = require('../scripts/metrics-new/utils/progress');
+
+// Store progress functions in global scope to ensure availability
+global.formatElapsedTime = progress.formatElapsedTime;
+global.estimateRemaining = progress.estimateRemaining;
+global.calculateRate = progress.calculateRate;
+global.outputProgress = progress.outputProgress;
+global.clearProgress = progress.clearProgress;
+global.getProgress = progress.getProgress;
+global.logError = progress.logError;
+
+// Load database module
+const { getConnection, closePool } = require('../scripts/metrics-new/utils/db');
+
+// Add cancel handler
+let isCancelled = false;
+let runningQueryPromise = null;
+
+function cancelCalculation() {
+    if (!isCancelled) {
+        isCancelled = true;
+        console.log('Calculation has been cancelled by user');
+        
+        // Store the query promise to potentially cancel it
+        const queryToCancel = runningQueryPromise;
+        if (queryToCancel) {
+            console.log('Attempting to cancel the running query...');
+        }
+        
+        // Force-terminate any query that's been running for more than 5 seconds
+        try {
+            const connection = getConnection();
+            connection.then(async (conn) => {
+                try {
+                    // Identify and terminate long-running queries from our application
+                    await conn.query(`
+                        SELECT pg_cancel_backend(pid) 
+                        FROM pg_stat_activity 
+                        WHERE query_start < now() - interval '5 seconds'
+                        AND application_name = 'populate_metrics'
+                        AND query NOT LIKE '%pg_cancel_backend%'
+                    `);
+                    
+                    // Release connection
+                    conn.release();
+                } catch (err) {
+                    console.error('Error during force cancellation:', err);
+                    conn.release();
+                }
+            }).catch(err => {
+                console.error('Could not get connection for cancellation:', err);
+            });
+        } catch (err) {
+            console.error('Failed to terminate running queries:', err);
+        }
+    }
+    
+    return {
+        success: true,
+        message: 'Calculation has been cancelled'
+    };
+}
+
+// Handle SIGTERM signal for cancellation
+process.on('SIGTERM', cancelCalculation);
+process.on('SIGINT', cancelCalculation);
+
+const calculateInitialMetrics = (client, onProgress) => {
+  return client.query(`
+    -- Truncate the existing metrics tables to ensure clean data
+    TRUNCATE TABLE public.daily_product_snapshots;
+    TRUNCATE TABLE public.product_metrics;
+
+    -- First let's create daily snapshots for all products with order activity
+    WITH SalesData AS (
+      SELECT
+        p.pid,
+        p.sku,
+        o.date::date AS order_date,
+        -- Count orders to ensure we only include products with real activity
+        COUNT(o.id) as order_count,
+        -- Aggregate Sales (Quantity > 0, Status not Canceled/Returned)
+        COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.quantity ELSE 0 END), 0) AS units_sold,
+        COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.price * o.quantity ELSE 0 END), 0.00) AS gross_revenue_unadjusted,
+        COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.discount ELSE 0 END), 0.00) AS discounts,
+        COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN COALESCE(o.costeach, p.landing_cost_price, p.cost_price) * o.quantity ELSE 0 END), 0.00) AS cogs,
+        COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN p.regular_price * o.quantity ELSE 0 END), 0.00) AS gross_regular_revenue,
+
+        -- Aggregate Returns (Quantity < 0 or Status = Returned)
+        COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN ABS(o.quantity) ELSE 0 END), 0) AS units_returned,
+        COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN o.price * ABS(o.quantity) ELSE 0 END), 0.00) AS returns_revenue
+      FROM public.products p
+      LEFT JOIN public.orders o ON p.pid = o.pid
+      GROUP BY p.pid, p.sku, o.date::date
+      HAVING COUNT(o.id) > 0 -- Only include products with actual orders
+    ),
+    ReceivingData AS (
+      SELECT
+        r.pid,
+        r.received_date::date AS receiving_date,
+        -- Count receiving documents to ensure we only include products with real activity
+        COUNT(DISTINCT r.receiving_id) as receiving_count,
+        -- Calculate received quantity for this day
+        SUM(r.received_quantity) AS units_received,
+        -- Calculate received cost for this day
+        SUM(r.received_quantity * r.unit_cost) AS cost_received
+      FROM public.receivings r
+      GROUP BY r.pid, r.received_date::date
+      HAVING COUNT(DISTINCT r.receiving_id) > 0 OR SUM(r.received_quantity) > 0
+    ),
+    -- Get current stock quantities
+    StockData AS (
+      SELECT
+        p.pid,
+        p.stock_quantity,
+        COALESCE(p.landing_cost_price, p.cost_price, 0.00) as effective_cost_price,
+        COALESCE(p.price, 0.00) as current_price,
+        COALESCE(p.regular_price, 0.00) as current_regular_price
+      FROM public.products p
+    ),
+    -- Combine sales and receiving dates to get all activity dates
+    DatePidCombos AS (
+      SELECT DISTINCT pid, order_date AS activity_date FROM SalesData
+      UNION
+      SELECT DISTINCT pid, receiving_date FROM ReceivingData
+    ),
+    -- Insert daily snapshots for all product-date combinations
+    SnapshotInsert AS (
+      INSERT INTO public.daily_product_snapshots (
+        snapshot_date,
+        pid,
+        sku,
+        eod_stock_quantity,
+        eod_stock_cost,
+        eod_stock_retail,
+        eod_stock_gross,
+        stockout_flag,
+        units_sold,
+        units_returned,
+        gross_revenue,
+        discounts,
+        returns_revenue,
+        net_revenue,
+        cogs,
+        gross_regular_revenue,
+        profit,
+        units_received,
+        cost_received,
+        calculation_timestamp
+      )
+      SELECT
+        d.activity_date AS snapshot_date,
+        d.pid,
+        p.sku,
+        -- Use current stock as approximation, since historical stock data is not available
+        s.stock_quantity AS eod_stock_quantity,
+        s.stock_quantity * s.effective_cost_price AS eod_stock_cost,
+        s.stock_quantity * s.current_price AS eod_stock_retail,
+        s.stock_quantity * s.current_regular_price AS eod_stock_gross,
+        (s.stock_quantity <= 0) AS stockout_flag,
+        -- Sales metrics
+        COALESCE(sd.units_sold, 0),
+        COALESCE(sd.units_returned, 0),
+        COALESCE(sd.gross_revenue_unadjusted, 0.00),
+        COALESCE(sd.discounts, 0.00),
+        COALESCE(sd.returns_revenue, 0.00),
+        COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00) AS net_revenue,
+        COALESCE(sd.cogs, 0.00),
+        COALESCE(sd.gross_regular_revenue, 0.00),
+        (COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00)) - COALESCE(sd.cogs, 0.00) AS profit,
+        -- Receiving metrics
+        COALESCE(rd.units_received, 0),
+        COALESCE(rd.cost_received, 0.00),
+        now() -- calculation timestamp
+      FROM DatePidCombos d
+      JOIN public.products p ON d.pid = p.pid
+      LEFT JOIN SalesData sd ON d.pid = sd.pid AND d.activity_date = sd.order_date
+      LEFT JOIN ReceivingData rd ON d.pid = rd.pid AND d.activity_date = rd.receiving_date
+      LEFT JOIN StockData s ON d.pid = s.pid
+      RETURNING pid, snapshot_date
+    ),
+    -- Now build the aggregated product metrics from the daily snapshots
+    MetricsInsert AS (
+      INSERT INTO public.product_metrics (
+        pid,
+        sku,
+        current_stock_quantity,
+        current_stock_cost,
+        current_stock_retail,
+        current_stock_msrp,
+        is_out_of_stock,
+        total_units_sold,
+        total_units_returned,
+        return_rate,
+        gross_revenue,
+        total_discounts,
+        total_returns,
+        net_revenue,
+        total_cogs,
+        total_gross_revenue,
+        total_profit,
+        profit_margin,
+        avg_daily_units,
+        reorder_point,
+        reorder_alert,
+        days_of_supply,
+        sales_velocity,
+        sales_velocity_score,
+        rank_by_revenue,
+        rank_by_quantity,
+        rank_by_profit,
+        total_received_quantity,
+        total_received_cost,
+        last_sold_date,
+        last_received_date,
+        days_since_last_sale,
+        days_since_last_received,
+        calculation_timestamp
+      )
+      SELECT
+        p.pid,
+        p.sku,
+        p.stock_quantity AS current_stock_quantity,
+        p.stock_quantity * COALESCE(p.landing_cost_price, p.cost_price, 0) AS current_stock_cost,
+        p.stock_quantity * COALESCE(p.price, 0) AS current_stock_retail,
+        p.stock_quantity * COALESCE(p.regular_price, 0) AS current_stock_msrp,
+        (p.stock_quantity <= 0) AS is_out_of_stock,
+        -- Aggregate metrics
+        COALESCE(SUM(ds.units_sold), 0) AS total_units_sold,
+        COALESCE(SUM(ds.units_returned), 0) AS total_units_returned,
+        CASE 
+          WHEN COALESCE(SUM(ds.units_sold), 0) > 0 
+          THEN COALESCE(SUM(ds.units_returned), 0)::float / NULLIF(COALESCE(SUM(ds.units_sold), 0), 0) 
+          ELSE 0 
+        END AS return_rate,
+        COALESCE(SUM(ds.gross_revenue), 0) AS gross_revenue,
+        COALESCE(SUM(ds.discounts), 0) AS total_discounts,
+        COALESCE(SUM(ds.returns_revenue), 0) AS total_returns,
+        COALESCE(SUM(ds.net_revenue), 0) AS net_revenue,
+        COALESCE(SUM(ds.cogs), 0) AS total_cogs,
+        COALESCE(SUM(ds.gross_regular_revenue), 0) AS total_gross_revenue,
+        COALESCE(SUM(ds.profit), 0) AS total_profit,
+        CASE 
+          WHEN COALESCE(SUM(ds.net_revenue), 0) > 0 
+          THEN COALESCE(SUM(ds.profit), 0) / NULLIF(COALESCE(SUM(ds.net_revenue), 0), 0) 
+          ELSE 0 
+        END AS profit_margin,
+        -- Calculate average daily units
+        COALESCE(AVG(ds.units_sold), 0) AS avg_daily_units,
+        -- Calculate reorder point (simplified, can be enhanced with lead time and safety stock)
+        CEILING(COALESCE(AVG(ds.units_sold) * 14, 0)) AS reorder_point,
+        (p.stock_quantity <= CEILING(COALESCE(AVG(ds.units_sold) * 14, 0))) AS reorder_alert,
+        -- Days of supply based on average daily sales
+        CASE 
+          WHEN COALESCE(AVG(ds.units_sold), 0) > 0 
+          THEN p.stock_quantity / NULLIF(COALESCE(AVG(ds.units_sold), 0), 0) 
+          ELSE NULL 
+        END AS days_of_supply,
+        -- Sales velocity (average units sold per day over last 30 days)
+        (SELECT COALESCE(AVG(recent.units_sold), 0)
+         FROM public.daily_product_snapshots recent
+         WHERE recent.pid = p.pid
+         AND recent.snapshot_date >= CURRENT_DATE - INTERVAL '30 days'
+        ) AS sales_velocity,
+        -- Placeholder for sales velocity score (can be calculated based on velocity)
+        0 AS sales_velocity_score,
+        -- Will be updated later by ranking procedure
+        0 AS rank_by_revenue,
+        0 AS rank_by_quantity,
+        0 AS rank_by_profit,
+        -- Receiving data
+        COALESCE(SUM(ds.units_received), 0) AS total_received_quantity,
+        COALESCE(SUM(ds.cost_received), 0) AS total_received_cost,
+        -- Date metrics
+        (SELECT MAX(sd.snapshot_date)
+         FROM public.daily_product_snapshots sd
+         WHERE sd.pid = p.pid AND sd.units_sold > 0
+        ) AS last_sold_date,
+        (SELECT MAX(rd.snapshot_date)
+         FROM public.daily_product_snapshots rd
+         WHERE rd.pid = p.pid AND rd.units_received > 0
+        ) AS last_received_date,
+        -- Calculate days since last sale/received
+        CASE 
+          WHEN (SELECT MAX(sd.snapshot_date)
+                FROM public.daily_product_snapshots sd
+                WHERE sd.pid = p.pid AND sd.units_sold > 0) IS NOT NULL
+          THEN (CURRENT_DATE - (SELECT MAX(sd.snapshot_date)
+                                FROM public.daily_product_snapshots sd
+                                WHERE sd.pid = p.pid AND sd.units_sold > 0))::integer
+          ELSE NULL
+        END AS days_since_last_sale,
+        CASE 
+          WHEN (SELECT MAX(rd.snapshot_date)
+                FROM public.daily_product_snapshots rd
+                WHERE rd.pid = p.pid AND rd.units_received > 0) IS NOT NULL
+          THEN (CURRENT_DATE - (SELECT MAX(rd.snapshot_date)
+                               FROM public.daily_product_snapshots rd
+                               WHERE rd.pid = p.pid AND rd.units_received > 0))::integer
+          ELSE NULL
+        END AS days_since_last_received,
+        now() -- calculation timestamp
+      FROM public.products p
+      LEFT JOIN public.daily_product_snapshots ds ON p.pid = ds.pid
+      GROUP BY p.pid, p.sku, p.stock_quantity, p.landing_cost_price, p.cost_price, p.price, p.regular_price
+    )
+    
+    -- Update the calculate_status table
+    INSERT INTO public.calculate_status (module_name, last_calculation_timestamp)
+    VALUES 
+      ('daily_snapshots', now()),
+      ('product_metrics', now())
+    ON CONFLICT (module_name) DO UPDATE 
+    SET last_calculation_timestamp = now();
+    
+    -- Finally, update the ranks for products
+    UPDATE public.product_metrics pm SET
+      rank_by_revenue = rev_ranks.rank
+    FROM (
+      SELECT pid, RANK() OVER (ORDER BY net_revenue DESC) AS rank
+      FROM public.product_metrics
+      WHERE net_revenue > 0
+    ) rev_ranks
+    WHERE pm.pid = rev_ranks.pid;
+    
+    UPDATE public.product_metrics pm SET
+      rank_by_quantity = qty_ranks.rank
+    FROM (
+      SELECT pid, RANK() OVER (ORDER BY total_units_sold DESC) AS rank
+      FROM public.product_metrics
+      WHERE total_units_sold > 0
+    ) qty_ranks
+    WHERE pm.pid = qty_ranks.pid;
+    
+    UPDATE public.product_metrics pm SET
+      rank_by_profit = profit_ranks.rank
+    FROM (
+      SELECT pid, RANK() OVER (ORDER BY total_profit DESC) AS rank
+      FROM public.product_metrics
+      WHERE total_profit > 0
+    ) profit_ranks
+    WHERE pm.pid = profit_ranks.pid;
+    
+    -- Return count of products with metrics
+    SELECT COUNT(*) AS product_count FROM public.product_metrics
+  `);
+};
+
+async function populateInitialMetrics() {
+    let connection;
+    const startTime = Date.now();
+    let calculateHistoryId;
+    
+    try {
+        // Clean up any previously running calculations
+        connection = await getConnection({
+            // Add performance-related settings
+            application_name: 'populate_metrics',
+            statement_timeout: PG_STATEMENT_TIMEOUT_MS, // 30 min timeout per statement
+        });
+        
+        // Ensure the calculate_status table exists and has the correct structure
+        await connection.query(`
+            CREATE TABLE IF NOT EXISTS calculate_status (
+                module_name TEXT PRIMARY KEY,
+                last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
+            )
+        `);
+        
+        await connection.query(`
+            UPDATE calculate_history 
+            SET 
+                status = 'cancelled',
+                end_time = NOW(),
+                duration_seconds = EXTRACT(EPOCH FROM (NOW() - start_time))::INTEGER,
+                error_message = 'Previous calculation was not completed properly'
+            WHERE status = 'running' AND additional_info->>'type' = 'populate_initial_metrics'
+        `);
+
+        // Create history record for this calculation
+        const historyResult = await connection.query(`
+            INSERT INTO calculate_history (
+                start_time,
+                status,
+                additional_info
+            ) VALUES (
+                NOW(),
+                'running',
+                jsonb_build_object(
+                    'type', 'populate_initial_metrics',
+                    'sql_file', 'populate_initial_product_metrics.sql'
+                )
+            ) RETURNING id
+        `);
+        calculateHistoryId = historyResult.rows[0].id;
+
+        // Initialize progress
+        global.outputProgress({
+            status: 'running',
+            operation: 'Starting initial product metrics population',
+            current: 0,
+            total: 100,
+            elapsed: '0s',
+            remaining: 'Calculating... (this may take a while)',
+            rate: 0,
+            percentage: '0',
+            timing: {
+                start_time: new Date(startTime).toISOString(),
+                end_time: new Date().toISOString(),
+                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
+            },
+            historyId: calculateHistoryId
+        });
+
+        // Prepare the database - analyze tables
+        global.outputProgress({
+            status: 'running',
+            operation: 'Analyzing database tables for better query performance',
+            current: 2,
+            total: 100,
+            elapsed: global.formatElapsedTime(startTime),
+            remaining: 'Analyzing...',
+            rate: 0,
+            percentage: '2',
+            timing: {
+                start_time: new Date(startTime).toISOString(),
+                end_time: new Date().toISOString(),
+                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
+            },
+            historyId: calculateHistoryId
+        });
+        
+        // Enable better query planning and parallel operations
+        await connection.query(`
+            -- Analyze tables for better query planning
+            ANALYZE public.products;
+            ANALYZE public.purchase_orders;
+            ANALYZE public.daily_product_snapshots;
+            ANALYZE public.orders;
+            
+            -- Enable parallel operations
+            SET LOCAL enable_parallel_append = on;
+            SET LOCAL enable_parallel_hash = on;
+            SET LOCAL max_parallel_workers_per_gather = 4;
+            
+            -- Larger work memory for complex sorts/joins
+            SET LOCAL work_mem = '128MB';
+        `).catch(err => {
+            // Non-fatal if analyze fails
+            console.warn('Failed to analyze tables (non-fatal):', err.message);
+        });
+
+        // Execute the SQL query
+        global.outputProgress({
+            status: 'running',
+            operation: 'Executing initial metrics SQL query',
+            current: 5,
+            total: 100,
+            elapsed: global.formatElapsedTime(startTime),
+            remaining: 'Calculating... (this could take several hours with 150M+ records)',
+            rate: 0,
+            percentage: '5',
+            timing: {
+                start_time: new Date(startTime).toISOString(),
+                end_time: new Date().toISOString(),
+                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
+            },
+            historyId: calculateHistoryId
+        });
+
+        // Read the SQL file
+        const sqlFilePath = path.resolve(__dirname, 'populate_initial_product_metrics.sql');
+        console.log('Base directory:', baseDir);
+        console.log('Script directory:', __dirname);
+        console.log('SQL file path:', sqlFilePath);
+        console.log('Current working directory:', process.cwd());
+        
+        if (!fs.existsSync(sqlFilePath)) {
+            throw new Error(`SQL file not found at ${sqlFilePath}`);
+        }
+        
+        // Read and clean up the SQL (Slightly more robust cleaning)
+        const sqlQuery = fs.readFileSync(sqlFilePath, 'utf8')
+            .replace(/\r\n/g, '\n') // Handle Windows endings
+            .replace(/\r/g, '\n')   // Handle old Mac endings
+            .trim(); // Remove leading/trailing whitespace VERY IMPORTANT
+
+        // Log details again AFTER cleaning
+        console.log('SQL Query length (cleaned):', sqlQuery.length);
+        console.log('SQL Query structure validation:');
+        console.log('- Contains DO block:', sqlQuery.includes('DO $$') || sqlQuery.includes('DO $')); // Check both types of tag start
+        console.log('- Contains BEGIN:', sqlQuery.includes('BEGIN'));
+        console.log('- Contains END:', sqlQuery.includes('END $$;') || sqlQuery.includes('END $')); // Check both types of tag end
+        console.log('- First 50 chars:', JSON.stringify(sqlQuery.slice(0, 50)));
+        console.log('- Last 100 chars (cleaned):', JSON.stringify(sqlQuery.slice(-100)));
+        
+        // Final check to ensure clean SQL ending
+        if (!sqlQuery.endsWith('END $$;')) {
+            console.warn('WARNING: SQL does not end with "END $$;". This might cause issues.');
+            console.log('Exact ending:', JSON.stringify(sqlQuery.slice(-20)));
+        }
+        
+        // Execute the script
+        console.log('Starting initial product metrics population...');
+        
+        // Track the query promise for potential cancellation
+        runningQueryPromise = connection.query({
+            text: sqlQuery,
+            rowMode: 'array'
+        });
+        await runningQueryPromise;
+        runningQueryPromise = null;
+
+        // Update progress to 100%
+        global.outputProgress({
+            status: 'complete',
+            operation: 'Initial product metrics population complete',
+            current: 100,
+            total: 100,
+            elapsed: global.formatElapsedTime(startTime),
+            remaining: '0s',
+            rate: 0,
+            percentage: '100',
+            timing: {
+                start_time: new Date(startTime).toISOString(),
+                end_time: new Date().toISOString(),
+                elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
+            },
+            historyId: calculateHistoryId
+        });
+
+        // Update history with completion
+        await connection.query(`
+            UPDATE calculate_history 
+            SET 
+                end_time = NOW(),
+                duration_seconds = $1,
+                status = 'completed'
+            WHERE id = $2
+        `, [Math.round((Date.now() - startTime) / 1000), calculateHistoryId]);
+
+        // Clear progress file on successful completion
+        global.clearProgress();
+
+        return {
+            success: true,
+            message: 'Initial product metrics population completed successfully',
+            duration: Math.round((Date.now() - startTime) / 1000)
+        };
+    } catch (error) {
+        const endTime = Date.now();
+        const totalElapsedSeconds = Math.round((endTime - startTime) / 1000);
+
+        // Enhanced error logging
+        console.error('Error details:', {
+            message: error.message,
+            code: error.code,
+            hint: error.hint,
+            position: error.position,
+            detail: error.detail,
+            where: error.where ? error.where.substring(0, 500) + '...' : undefined, // Truncate to avoid huge logs
+            severity: error.severity,
+            file: error.file,
+            line: error.line,
+            routine: error.routine
+        });
+
+        // Update history with error
+        if (connection && calculateHistoryId) {
+            await connection.query(`
+                UPDATE calculate_history 
+                SET 
+                    end_time = NOW(),
+                    duration_seconds = $1,
+                    status = $2,
+                    error_message = $3
+                WHERE id = $4
+            `, [
+                totalElapsedSeconds,
+                isCancelled ? 'cancelled' : 'failed',
+                error.message,
+                calculateHistoryId
+            ]);
+        }
+
+        if (isCancelled) {
+            global.outputProgress({
+                status: 'cancelled',
+                operation: 'Calculation cancelled',
+                current: 50,
+                total: 100,
+                elapsed: global.formatElapsedTime(startTime),
+                remaining: null,
+                rate: 0,
+                percentage: '50',
+                timing: {
+                    start_time: new Date(startTime).toISOString(),
+                    end_time: new Date().toISOString(),
+                    elapsed_seconds: totalElapsedSeconds
+                },
+                historyId: calculateHistoryId
+            });
+        } else {
+            global.outputProgress({
+                status: 'error',
+                operation: 'Error during initial product metrics population',
+                message: error.message,
+                current: 0,
+                total: 100,
+                elapsed: global.formatElapsedTime(startTime),
+                remaining: null,
+                rate: 0,
+                percentage: '0',
+                timing: {
+                    start_time: new Date(startTime).toISOString(),
+                    end_time: new Date().toISOString(),
+                    elapsed_seconds: totalElapsedSeconds
+                },
+                historyId: calculateHistoryId
+            });
+        }
+
+        console.error('Error during initial product metrics population:', error);
+        return {
+            success: false,
+            error: error.message,
+            duration: totalElapsedSeconds
+        };
+    } finally {
+        if (connection) {
+            connection.release();
+        }
+        await closePool();
+    }
+}
+
+// Start population process
+populateInitialMetrics()
+    .then(result => {
+        if (result.success) {
+            console.log(`Initial product metrics population completed successfully in ${result.duration} seconds`);
+            process.exit(0);
+        } else {
+            console.error(`Initial product metrics population failed: ${result.error}`);
+            process.exit(1);
+        }
+    })
+    .catch(err => {
+        console.error('Unexpected error:', err);
+        process.exit(1);
+    }); 

inventory-server/old/psql-csv-import.sh

@@ -0,0 +1,428 @@
+#!/bin/bash
+
+# Simple script to import CSV to PostgreSQL using psql
+# Usage: ./psql-csv-import.sh <csv-file> <table-name> [start-batch]
+
+# Exit on error
+set -e
+
+# Get arguments
+CSV_FILE=$1
+TABLE_NAME=$2
+BATCH_SIZE=500000  # Process 500,000 rows at a time
+START_BATCH=${3:-1}  # Optional third parameter to start from a specific batch
+
+if [ -z "$CSV_FILE" ] || [ -z "$TABLE_NAME" ]; then
+  echo "Usage: ./psql-csv-import.sh <csv-file> <table-name> [start-batch]"
+  exit 1
+fi
+
+# Check if file exists (only needed for batch 1)
+if [ "$START_BATCH" -eq 1 ] && [ ! -f "$CSV_FILE" ]; then
+  echo "Error: CSV file '$CSV_FILE' not found"
+  exit 1
+fi
+
+# Load environment variables
+if [ -f "../.env" ]; then
+  source "../.env"
+else
+  echo "Warning: .env file not found, using default connection parameters"
+fi
+
+# Set default connection parameters if not from .env
+DB_HOST=${DB_HOST:-localhost}
+DB_PORT=${DB_PORT:-5432}
+DB_NAME=${DB_NAME:-inventory_db}
+DB_USER=${DB_USER:-postgres}
+export PGPASSWORD=${DB_PASSWORD:-}  # Export password for psql
+
+# Common psql parameters
+PSQL_OPTS="-h $DB_HOST -p $DB_PORT -U $DB_USER -d $DB_NAME"
+
+# Function to clean up database state
+cleanup_and_optimize() {
+  echo "Cleaning up and optimizing database state..."
+  
+  # Analyze the target table to update statistics
+  psql $PSQL_OPTS -c "ANALYZE $TABLE_NAME;"
+  
+  # Perform vacuum to reclaim space and update stats
+  psql $PSQL_OPTS -c "VACUUM $TABLE_NAME;"
+  
+  # Reset connection pool
+  psql $PSQL_OPTS -c "SELECT pg_terminate_backend(pid) FROM pg_stat_activity WHERE datname = current_database() AND pid <> pg_backend_pid();"
+  
+  # Clean up shared memory
+  psql $PSQL_OPTS -c "DISCARD ALL;"
+  
+  echo "Optimization complete."
+}
+
+# Show connection info
+echo "Importing $CSV_FILE into $TABLE_NAME"
+echo "Database: $DB_NAME on $DB_HOST:$DB_PORT with batch size: $BATCH_SIZE starting at batch $START_BATCH"
+
+# Start timer
+START_TIME=$(date +%s)
+
+# Create progress tracking file
+PROGRESS_FILE="/tmp/import_progress_${TABLE_NAME}.txt"
+touch "$PROGRESS_FILE"
+echo "Starting import at $(date), batch $START_BATCH" >> "$PROGRESS_FILE"
+
+# If we're resuming, run cleanup first
+if [ "$START_BATCH" -gt 1 ]; then
+  cleanup_and_optimize
+fi
+
+# For imported_product_stat_history, use optimized approach with hardcoded column names
+if [ "$TABLE_NAME" = "imported_product_stat_history" ]; then
+  echo "Using optimized import for $TABLE_NAME"
+  
+  # Only drop constraints/indexes and create staging table for batch 1
+  if [ "$START_BATCH" -eq 1 ]; then
+    # Extract CSV header
+    CSV_HEADER=$(head -n 1 "$CSV_FILE")
+    echo "CSV header: $CSV_HEADER"
+  
+    # Step 1: Drop constraints and indexes
+    echo "Dropping constraints and indexes..."
+    psql $PSQL_OPTS -c "
+    DO \$\$
+    DECLARE
+      constraint_name TEXT;
+    BEGIN
+      -- Drop primary key constraint if exists
+      SELECT conname INTO constraint_name
+      FROM pg_constraint 
+      WHERE conrelid = '$TABLE_NAME'::regclass AND contype = 'p';
+      
+      IF FOUND THEN
+        EXECUTE 'ALTER TABLE $TABLE_NAME DROP CONSTRAINT IF EXISTS ' || constraint_name;
+        RAISE NOTICE 'Dropped primary key constraint: %', constraint_name;
+      END IF;
+    END \$\$;
+    "
+    
+    # Drop all indexes on the table
+    psql $PSQL_OPTS -c "
+    DO \$\$
+    DECLARE
+      index_name TEXT;
+      index_record RECORD;
+    BEGIN
+      FOR index_record IN 
+        SELECT indexname 
+        FROM pg_indexes 
+        WHERE tablename = '$TABLE_NAME' 
+      LOOP
+        EXECUTE 'DROP INDEX IF EXISTS ' || index_record.indexname;
+        RAISE NOTICE 'Dropped index: %', index_record.indexname;
+      END LOOP;
+    END \$\$;
+    "
+    
+    # Step 2: Set maintenance_work_mem and disable triggers
+    echo "Setting maintenance_work_mem and disabling triggers..."
+    psql $PSQL_OPTS -c "
+    SET maintenance_work_mem = '1GB';
+    ALTER TABLE $TABLE_NAME DISABLE TRIGGER ALL;
+    "
+    
+    # Step 3: Create staging table
+    echo "Creating staging table..."
+    psql $PSQL_OPTS -c "
+    DROP TABLE IF EXISTS staging_import;
+    CREATE UNLOGGED TABLE staging_import (
+      pid TEXT,
+      date TEXT,
+      score TEXT,
+      score2 TEXT,
+      qty_in_baskets TEXT,
+      qty_sold TEXT,
+      notifies_set TEXT,
+      visibility_score TEXT,
+      health_score TEXT,
+      sold_view_score TEXT
+    );
+    
+    -- Create an index on staging_import to improve OFFSET performance
+    CREATE INDEX ON staging_import (pid);
+    "
+    
+    # Step 4: Import CSV into staging table
+    echo "Importing CSV into staging table..."
+    psql $PSQL_OPTS -c "\copy staging_import FROM '$CSV_FILE' WITH CSV HEADER DELIMITER ','"
+  else
+    echo "Resuming import from batch $START_BATCH - skipping table creation and CSV import"
+    
+    # Check if staging table exists
+    STAGING_EXISTS=$(psql $PSQL_OPTS -t -c "SELECT EXISTS(SELECT 1 FROM pg_tables WHERE tablename='staging_import');" | tr -d '[:space:]')
+    
+    if [ "$STAGING_EXISTS" != "t" ]; then
+      echo "Error: Staging table 'staging_import' does not exist. Run without batch parameter first."
+      exit 1
+    fi
+    
+    # Ensure triggers are disabled
+    psql $PSQL_OPTS -c "ALTER TABLE $TABLE_NAME DISABLE TRIGGER ALL;"
+    
+    # Optimize PostgreSQL for better performance
+    psql $PSQL_OPTS -c "
+    -- Increase work mem for this session
+    SET work_mem = '256MB';
+    SET maintenance_work_mem = '1GB';
+    "
+  fi
+  
+  # Step 5: Get total row count
+  TOTAL_ROWS=$(psql $PSQL_OPTS -t -c "SELECT COUNT(*) FROM staging_import;" | tr -d '[:space:]')
+  echo "Total rows to import: $TOTAL_ROWS"
+  
+  # Calculate starting point
+  PROCESSED=$(( ($START_BATCH - 1) * $BATCH_SIZE ))
+  if [ $PROCESSED -ge $TOTAL_ROWS ]; then
+    echo "Error: Start batch $START_BATCH is beyond the available rows ($TOTAL_ROWS)"
+    exit 1
+  fi
+  
+  # Step 6: Process in batches with shell loop
+  BATCH_NUM=$(( $START_BATCH - 1 ))
+  
+  # We'll process batches in chunks of 10 before cleaning up
+  CHUNKS_SINCE_CLEANUP=0
+  
+  while [ $PROCESSED -lt $TOTAL_ROWS ]; do
+    BATCH_NUM=$(( $BATCH_NUM + 1 ))
+    BATCH_START=$(date +%s)
+    MAX_ROWS=$(( $PROCESSED + $BATCH_SIZE ))
+    if [ $MAX_ROWS -gt $TOTAL_ROWS ]; then
+      MAX_ROWS=$TOTAL_ROWS
+    fi
+    
+    echo "Processing batch $BATCH_NUM (rows $PROCESSED to $MAX_ROWS)..."
+    
+    # Optimize query buffer for this batch
+    psql $PSQL_OPTS -c "SET work_mem = '256MB';"
+    
+    # Insert batch with type casts
+    psql $PSQL_OPTS -c "
+    INSERT INTO $TABLE_NAME (
+      pid, date, score, score2, qty_in_baskets, qty_sold, 
+      notifies_set, visibility_score, health_score, sold_view_score
+    )
+    SELECT 
+      pid::bigint, 
+      date::date, 
+      score::numeric, 
+      score2::numeric,
+      qty_in_baskets::smallint,
+      qty_sold::smallint,
+      notifies_set::smallint,
+      visibility_score::numeric,
+      health_score::varchar,
+      sold_view_score::numeric
+    FROM staging_import
+    LIMIT $BATCH_SIZE
+    OFFSET $PROCESSED;
+    "
+    
+    # Update progress
+    BATCH_END=$(date +%s)
+    BATCH_ELAPSED=$(( $BATCH_END - $BATCH_START ))
+    PROGRESS_PCT=$(echo "scale=2; $MAX_ROWS * 100 / $TOTAL_ROWS" | bc)
+    
+    echo "Batch $BATCH_NUM committed in ${BATCH_ELAPSED}s, $MAX_ROWS of $TOTAL_ROWS rows processed ($PROGRESS_PCT%)" | tee -a "$PROGRESS_FILE"
+    
+    # Increment counter
+    PROCESSED=$(( $PROCESSED + $BATCH_SIZE ))
+    CHUNKS_SINCE_CLEANUP=$(( $CHUNKS_SINCE_CLEANUP + 1 ))
+    
+    # Check current row count every 10 batches
+    if [ $(( $BATCH_NUM % 10 )) -eq 0 ]; then
+      CURRENT_COUNT=$(psql $PSQL_OPTS -t -c "SELECT COUNT(*) FROM $TABLE_NAME;" | tr -d '[:space:]')
+      echo "Current row count in $TABLE_NAME: $CURRENT_COUNT" | tee -a "$PROGRESS_FILE"
+      
+      # Every 10 batches, run an intermediate cleanup
+      if [ $CHUNKS_SINCE_CLEANUP -ge 10 ]; then
+        echo "Running intermediate cleanup and optimization..."
+        psql $PSQL_OPTS -c "VACUUM $TABLE_NAME;"
+        CHUNKS_SINCE_CLEANUP=0
+      fi
+    fi
+    
+    # Optional - write a checkpoint file to know where to restart
+    echo "$BATCH_NUM" > "/tmp/import_last_batch_${TABLE_NAME}.txt"
+  done
+  
+  # Only recreate indexes if we've completed the import
+  if [ $PROCESSED -ge $TOTAL_ROWS ]; then
+    # Step 7: Re-enable triggers and recreate primary key
+    echo "Re-enabling triggers and recreating primary key..."
+    psql $PSQL_OPTS -c "
+    ALTER TABLE $TABLE_NAME ENABLE TRIGGER ALL;
+    ALTER TABLE $TABLE_NAME ADD PRIMARY KEY (pid, date);
+    "
+    
+    # Step 8: Clean up and get final count
+    echo "Cleaning up and getting final count..."
+    psql $PSQL_OPTS -c "
+    DROP TABLE staging_import;
+    VACUUM ANALYZE $TABLE_NAME;
+    SELECT COUNT(*) AS \"Total rows in $TABLE_NAME\" FROM $TABLE_NAME;
+    "
+  else
+    echo "Import interrupted at batch $BATCH_NUM. To resume, run:"
+    echo "./psql-csv-import.sh $CSV_FILE $TABLE_NAME $BATCH_NUM"
+  fi
+
+else
+  # Generic approach for other tables
+  if [ "$START_BATCH" -eq 1 ]; then
+    # Extract CSV header
+    CSV_HEADER=$(head -n 1 "$CSV_FILE")
+    echo "CSV header: $CSV_HEADER"
+    
+    # Extract CSV header and format it for SQL
+    CSV_COLUMNS=$(echo "$CSV_HEADER" | tr ',' '\n' | sed 's/^/"/;s/$/"/' | tr '\n' ',' | sed 's/,$//')
+    TEMP_COLUMNS=$(echo "$CSV_HEADER" | tr ',' '\n' | sed 's/$/ TEXT/' | tr '\n' ',' | sed 's/,$//')
+    
+    echo "Importing columns: $CSV_COLUMNS"
+    
+    # Step 1: Set maintenance_work_mem and disable triggers
+    echo "Setting maintenance_work_mem and disabling triggers..."
+    psql $PSQL_OPTS -c "
+    SET maintenance_work_mem = '1GB';
+    ALTER TABLE $TABLE_NAME DISABLE TRIGGER ALL;
+    "
+    
+    # Step 2: Create temp table
+    echo "Creating temporary table..."
+    psql $PSQL_OPTS -c "
+    DROP TABLE IF EXISTS temp_import;
+    CREATE UNLOGGED TABLE temp_import ($TEMP_COLUMNS);
+    
+    -- Create an index on temp_import to improve OFFSET performance
+    CREATE INDEX ON temp_import ((1));  -- Index on first column
+    "
+    
+    # Step 3: Import CSV into temp table
+    echo "Importing CSV into temporary table..."
+    psql $PSQL_OPTS -c "\copy temp_import FROM '$CSV_FILE' WITH CSV HEADER DELIMITER ','"
+  else
+    echo "Resuming import from batch $START_BATCH - skipping table creation and CSV import"
+    
+    # Check if temp table exists
+    TEMP_EXISTS=$(psql $PSQL_OPTS -t -c "SELECT EXISTS(SELECT 1 FROM pg_tables WHERE tablename='temp_import');" | tr -d '[:space:]')
+    
+    if [ "$TEMP_EXISTS" != "t" ]; then
+      echo "Error: Temporary table 'temp_import' does not exist. Run without batch parameter first."
+      exit 1
+    fi
+    
+    # Ensure triggers are disabled
+    psql $PSQL_OPTS -c "ALTER TABLE $TABLE_NAME DISABLE TRIGGER ALL;"
+    
+    # Optimize PostgreSQL for better performance
+    psql $PSQL_OPTS -c "
+    -- Increase work mem for this session
+    SET work_mem = '256MB';
+    SET maintenance_work_mem = '1GB';
+    "
+    
+    # Hard-code columns since we know them
+    CSV_COLUMNS='"pid","date","score","score2","qty_in_baskets","qty_sold","notifies_set","visibility_score","health_score","sold_view_score"'
+    
+    echo "Using standard columns: $CSV_COLUMNS"
+  fi
+  
+  # Step 4: Get total row count
+  TOTAL_ROWS=$(psql $PSQL_OPTS -t -c "SELECT COUNT(*) FROM temp_import;" | tr -d '[:space:]')
+  echo "Total rows to import: $TOTAL_ROWS"
+  
+  # Calculate starting point
+  PROCESSED=$(( ($START_BATCH - 1) * $BATCH_SIZE ))
+  if [ $PROCESSED -ge $TOTAL_ROWS ]; then
+    echo "Error: Start batch $START_BATCH is beyond the available rows ($TOTAL_ROWS)"
+    exit 1
+  fi
+  
+  # Step 5: Process in batches with shell loop
+  BATCH_NUM=$(( $START_BATCH - 1 ))
+  
+  # We'll process batches in chunks of 10 before cleaning up
+  CHUNKS_SINCE_CLEANUP=0
+  
+  while [ $PROCESSED -lt $TOTAL_ROWS ]; do
+    BATCH_NUM=$(( $BATCH_NUM + 1 ))
+    BATCH_START=$(date +%s)
+    MAX_ROWS=$(( $PROCESSED + $BATCH_SIZE ))
+    if [ $MAX_ROWS -gt $TOTAL_ROWS ]; then
+      MAX_ROWS=$TOTAL_ROWS
+    fi
+    
+    echo "Processing batch $BATCH_NUM (rows $PROCESSED to $MAX_ROWS)..."
+    
+    # Optimize query buffer for this batch
+    psql $PSQL_OPTS -c "SET work_mem = '256MB';"
+    
+    # Insert batch
+    psql $PSQL_OPTS -c "
+    INSERT INTO $TABLE_NAME ($CSV_COLUMNS)
+    SELECT $CSV_COLUMNS 
+    FROM temp_import
+    LIMIT $BATCH_SIZE
+    OFFSET $PROCESSED;
+    "
+    
+    # Update progress
+    BATCH_END=$(date +%s)
+    BATCH_ELAPSED=$(( $BATCH_END - $BATCH_START ))
+    PROGRESS_PCT=$(echo "scale=2; $MAX_ROWS * 100 / $TOTAL_ROWS" | bc)
+    
+    echo "Batch $BATCH_NUM committed in ${BATCH_ELAPSED}s, $MAX_ROWS of $TOTAL_ROWS rows processed ($PROGRESS_PCT%)" | tee -a "$PROGRESS_FILE"
+    
+    # Increment counter
+    PROCESSED=$(( $PROCESSED + $BATCH_SIZE ))
+    CHUNKS_SINCE_CLEANUP=$(( $CHUNKS_SINCE_CLEANUP + 1 ))
+    
+    # Check current row count every 10 batches
+    if [ $(( $BATCH_NUM % 10 )) -eq 0 ]; then
+      CURRENT_COUNT=$(psql $PSQL_OPTS -t -c "SELECT COUNT(*) FROM $TABLE_NAME;" | tr -d '[:space:]')
+      echo "Current row count in $TABLE_NAME: $CURRENT_COUNT" | tee -a "$PROGRESS_FILE"
+      
+      # Every 10 batches, run an intermediate cleanup
+      if [ $CHUNKS_SINCE_CLEANUP -ge 10 ]; then
+        echo "Running intermediate cleanup and optimization..."
+        psql $PSQL_OPTS -c "VACUUM $TABLE_NAME;"
+        CHUNKS_SINCE_CLEANUP=0
+      fi
+    fi
+    
+    # Optional - write a checkpoint file to know where to restart
+    echo "$BATCH_NUM" > "/tmp/import_last_batch_${TABLE_NAME}.txt"
+  done
+  
+  # Only clean up if we've completed the import
+  if [ $PROCESSED -ge $TOTAL_ROWS ]; then
+    # Step 6: Re-enable triggers and clean up
+    echo "Re-enabling triggers and cleaning up..."
+    psql $PSQL_OPTS -c "
+    ALTER TABLE $TABLE_NAME ENABLE TRIGGER ALL;
+    DROP TABLE temp_import;
+    VACUUM ANALYZE $TABLE_NAME;
+    SELECT COUNT(*) AS \"Total rows in $TABLE_NAME\" FROM $TABLE_NAME;
+    "
+  else
+    echo "Import interrupted at batch $BATCH_NUM. To resume, run:"
+    echo "./psql-csv-import.sh $CSV_FILE $TABLE_NAME $BATCH_NUM"
+  fi
+fi
+
+# Calculate elapsed time
+END_TIME=$(date +%s)
+ELAPSED=$((END_TIME - START_TIME))
+
+echo "Import completed successfully in ${ELAPSED}s ($(($ELAPSED / 60)) minutes)"
+echo "Progress log saved to $PROGRESS_FILE" 

inventory-server/old/reset-metrics.js

@@ -39,6 +39,19 @@ const METRICS_TABLES = [
     'vendor_details'
 ];
 
+// Tables to always protect from being dropped
+const PROTECTED_TABLES = [
+    'users', 
+    'permissions', 
+    'user_permissions', 
+    'calculate_history', 
+    'import_history', 
+    'ai_prompts', 
+    'ai_validation_performance', 
+    'templates', 
+    'reusable_images'
+];
+
 // Split SQL into individual statements
 function splitSQLStatements(sql) {
     sql = sql.replace(/\r\n/g, '\n');
@@ -109,7 +122,8 @@ async function resetMetrics() {
             FROM pg_tables 
             WHERE schemaname = 'public'
             AND tablename = ANY($1)
-        `, [METRICS_TABLES]);
+            AND tablename NOT IN (SELECT unnest($2::text[]))
+        `, [METRICS_TABLES, PROTECTED_TABLES]);
 
         outputProgress({
             operation: 'Initial state',
@@ -126,6 +140,15 @@ async function resetMetrics() {
         });
 
         for (const table of [...METRICS_TABLES].reverse()) {
+            // Skip protected tables
+            if (PROTECTED_TABLES.includes(table)) {
+                outputProgress({
+                    operation: 'Protected table',
+                    message: `Skipping protected table: ${table}`
+                });
+                continue;
+            }
+            
             try {
                 // Use NOWAIT to avoid hanging if there's a lock
                 await client.query(`DROP TABLE IF EXISTS "${table}" CASCADE`);

inventory-server/old/update-order-costs.js

@@ -5,7 +5,7 @@
 const dotenv = require("dotenv");
 const path = require("path");
 const fs = require("fs");
-const { setupConnections, closeConnections } = require('./import/utils');
+const { setupConnections, closeConnections } = require('../scripts/import/utils');
 const { outputProgress, formatElapsedTime } = require('./metrics/utils/progress');
 
 dotenv.config({ path: path.join(__dirname, "../.env") });

inventory-server/package-lock.json

@@ -12,6 +12,7 @@
         "@types/diff": "^7.0.1",
         "axios": "^1.8.1",
         "bcrypt": "^5.1.1",
+        "commander": "^13.1.0",
         "cors": "^2.8.5",
         "csv-parse": "^5.6.0",
         "diff": "^7.0.0",
@@ -20,7 +21,7 @@
         "multer": "^1.4.5-lts.1",
         "mysql2": "^3.12.0",
         "openai": "^4.85.3",
-        "pg": "^8.13.3",
+        "pg": "^8.14.1",
         "pm2": "^5.3.0",
         "ssh2": "^1.16.0",
         "uuid": "^9.0.1"
@@ -922,10 +923,13 @@
       }
     },
     "node_modules/commander": {
-      "version": "2.15.1",
-      "resolved": "https://registry.npmjs.org/commander/-/commander-2.15.1.tgz",
-      "integrity": "sha512-VlfT9F3V0v+jr4yxPc5gg9s62/fIVWsd2Bk2iD435um1NlGMYdVCq+MjcXnhYq2icNOizHr1kK+5TI6H0Hy0ag==",
-      "license": "MIT"
+      "version": "13.1.0",
+      "resolved": "https://registry.npmjs.org/commander/-/commander-13.1.0.tgz",
+      "integrity": "sha512-/rFeCpNJQbhSZjGVwO9RFV3xPqbnERS8MmIQzCtD/zl6gpJuV/bMLuN92oG3F7d8oDEHHRrujSXNUr8fpjntKw==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      }
     },
     "node_modules/concat-map": {
       "version": "0.0.1",
@@ -2739,14 +2743,14 @@
       "license": "MIT"
     },
     "node_modules/pg": {
-      "version": "8.13.3",
-      "resolved": "https://registry.npmjs.org/pg/-/pg-8.13.3.tgz",
-      "integrity": "sha512-P6tPt9jXbL9HVu/SSRERNYaYG++MjnscnegFh9pPHihfoBSujsrka0hyuymMzeJKFWrcG8wvCKy8rCe8e5nDUQ==",
+      "version": "8.14.1",
+      "resolved": "https://registry.npmjs.org/pg/-/pg-8.14.1.tgz",
+      "integrity": "sha512-0TdbqfjwIun9Fm/r89oB7RFQ0bLgduAhiIqIXOsyKoiC/L54DbuAAzIEN/9Op0f1Po9X7iCPXGoa/Ah+2aI8Xw==",
       "license": "MIT",
       "dependencies": {
         "pg-connection-string": "^2.7.0",
-        "pg-pool": "^3.7.1",
-        "pg-protocol": "^1.7.1",
+        "pg-pool": "^3.8.0",
+        "pg-protocol": "^1.8.0",
         "pg-types": "^2.1.0",
         "pgpass": "1.x"
       },
@@ -2788,18 +2792,18 @@
       }
     },
     "node_modules/pg-pool": {
-      "version": "3.7.1",
-      "resolved": "https://registry.npmjs.org/pg-pool/-/pg-pool-3.7.1.tgz",
-      "integrity": "sha512-xIOsFoh7Vdhojas6q3596mXFsR8nwBQBXX5JiV7p9buEVAGqYL4yFzclON5P9vFrpu1u7Zwl2oriyDa89n0wbw==",
+      "version": "3.8.0",
+      "resolved": "https://registry.npmjs.org/pg-pool/-/pg-pool-3.8.0.tgz",
+      "integrity": "sha512-VBw3jiVm6ZOdLBTIcXLNdSotb6Iy3uOCwDGFAksZCXmi10nyRvnP2v3jl4d+IsLYRyXf6o9hIm/ZtUzlByNUdw==",
       "license": "MIT",
       "peerDependencies": {
         "pg": ">=8.0"
       }
     },
     "node_modules/pg-protocol": {
-      "version": "1.7.1",
-      "resolved": "https://registry.npmjs.org/pg-protocol/-/pg-protocol-1.7.1.tgz",
-      "integrity": "sha512-gjTHWGYWsEgy9MsY0Gp6ZJxV24IjDqdpTW7Eh0x+WfJLFsm/TJx1MzL6T0D88mBvkpxotCQ6TwW6N+Kko7lhgQ==",
+      "version": "1.8.0",
+      "resolved": "https://registry.npmjs.org/pg-protocol/-/pg-protocol-1.8.0.tgz",
+      "integrity": "sha512-jvuYlEkL03NRvOoyoRktBK7+qU5kOvlAwvmrH8sr3wbLrOdVWsRxQfz8mMy9sZFsqJ1hEWNfdWKI4SAmoL+j7g==",
       "license": "MIT"
     },
     "node_modules/pg-types": {
@@ -3047,6 +3051,12 @@
         "node": ">=8"
       }
     },
+    "node_modules/pm2/node_modules/commander": {
+      "version": "2.15.1",
+      "resolved": "https://registry.npmjs.org/commander/-/commander-2.15.1.tgz",
+      "integrity": "sha512-VlfT9F3V0v+jr4yxPc5gg9s62/fIVWsd2Bk2iD435um1NlGMYdVCq+MjcXnhYq2icNOizHr1kK+5TI6H0Hy0ag==",
+      "license": "MIT"
+    },
     "node_modules/pm2/node_modules/debug": {
       "version": "4.4.0",
       "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.0.tgz",

inventory-server/package.json

@@ -21,6 +21,7 @@
     "@types/diff": "^7.0.1",
     "axios": "^1.8.1",
     "bcrypt": "^5.1.1",
+    "commander": "^13.1.0",
     "cors": "^2.8.5",
     "csv-parse": "^5.6.0",
     "diff": "^7.0.0",
@@ -29,7 +30,7 @@
     "multer": "^1.4.5-lts.1",
     "mysql2": "^3.12.0",
     "openai": "^4.85.3",
-    "pg": "^8.13.3",
+    "pg": "^8.14.1",
     "pm2": "^5.3.0",
     "ssh2": "^1.16.0",
     "uuid": "^9.0.1"

inventory-server/scripts/calculate-metrics-new.js

@@ -0,0 +1,908 @@
+// run-all-updates.js
+const path = require('path');
+const fs = require('fs');
+const { Pool } = require('pg'); // Assuming you use 'pg'
+
+// --- Configuration ---
+// Toggle these constants to enable/disable specific steps for testing
+const RUN_DAILY_SNAPSHOTS = true;
+const RUN_PRODUCT_METRICS = true;
+const RUN_PERIODIC_METRICS = true;
+const RUN_BRAND_METRICS = true;
+const RUN_VENDOR_METRICS = true;
+const RUN_CATEGORY_METRICS = true;
+
+// Maximum execution time for the entire sequence (e.g., 90 minutes)
+const MAX_EXECUTION_TIME_TOTAL = 90 * 60 * 1000;
+// Maximum execution time per individual SQL step (e.g., 30 minutes)
+const MAX_EXECUTION_TIME_PER_STEP = 30 * 60 * 1000;
+// Query cancellation timeout
+const CANCEL_QUERY_AFTER_SECONDS = 5;
+// --- End Configuration ---
+
+// Change working directory to script directory
+process.chdir(path.dirname(__filename));
+
+// Log script path for debugging
+console.log('Script running from:', __dirname);
+
+// Try to load environment variables from multiple locations
+const envPaths = [
+  path.resolve(__dirname, '../..', '.env'),     // Two levels up (inventory/.env)
+  path.resolve(__dirname, '..', '.env'),       // One level up (inventory-server/.env)
+  path.resolve(__dirname, '.env'),             // Same directory
+  '/var/www/html/inventory/.env'               // Server absolute path
+];
+
+let envLoaded = false;
+for (const envPath of envPaths) {
+  if (fs.existsSync(envPath)) {
+    console.log(`Loading environment from: ${envPath}`);
+    require('dotenv').config({ path: envPath });
+    envLoaded = true;
+    break;
+  }
+}
+
+if (!envLoaded) {
+  console.warn('WARNING: Could not find .env file in any of the expected locations.');
+  console.warn('Checked paths:', envPaths);
+}
+
+// --- Database Setup ---
+// Make sure we have the required DB credentials
+if (!process.env.DB_HOST && !process.env.DATABASE_URL) {
+    console.error('WARNING: Neither DB_HOST nor DATABASE_URL environment variables found');
+}
+
+// Only validate individual parameters if not using connection string
+if (!process.env.DATABASE_URL) {
+    if (!process.env.DB_USER) console.error('WARNING: DB_USER environment variable is missing');
+    if (!process.env.DB_NAME) console.error('WARNING: DB_NAME environment variable is missing');
+
+    // Password must be a string for PostgreSQL SCRAM authentication
+    if (!process.env.DB_PASSWORD || typeof process.env.DB_PASSWORD !== 'string') {
+        console.error('WARNING: DB_PASSWORD environment variable is missing or not a string');
+    }
+}
+
+// Configure database connection to match individual scripts
+let dbConfig;
+
+// Check if a DATABASE_URL exists (common in production environments)
+if (process.env.DATABASE_URL && typeof process.env.DATABASE_URL === 'string') {
+    console.log('Using DATABASE_URL for connection');
+    dbConfig = {
+        connectionString: process.env.DATABASE_URL,
+        ssl: process.env.DB_SSL === 'true' ? { rejectUnauthorized: false } : false,
+        // Add performance optimizations
+        max: 10, // connection pool max size
+        idleTimeoutMillis: 30000,
+        connectionTimeoutMillis: 60000,
+        // Set timeouts for long-running queries
+        statement_timeout: 1800000, // 30 minutes
+        query_timeout: 1800000 // 30 minutes
+    };
+} else {
+    // Use individual connection parameters
+    dbConfig = {
+        host: process.env.DB_HOST,
+        user: process.env.DB_USER,
+        password: process.env.DB_PASSWORD,
+        database: process.env.DB_NAME,
+        port: process.env.DB_PORT || 5432,
+        ssl: process.env.DB_SSL === 'true',
+        // Add performance optimizations
+        max: 10, // connection pool max size
+        idleTimeoutMillis: 30000,
+        connectionTimeoutMillis: 60000,
+        // Set timeouts for long-running queries
+        statement_timeout: 1800000, // 30 minutes
+        query_timeout: 1800000 // 30 minutes
+    };
+}
+
+// Try to load from utils DB module as a last resort
+try {
+    if (!process.env.DB_HOST && !process.env.DATABASE_URL) {
+        console.log('Attempting to load DB config from individual script modules...');
+        const dbModule = require('./metrics-new/utils/db');
+        if (dbModule && dbModule.dbConfig) {
+            console.log('Found DB config in individual script module');
+            dbConfig = {
+                ...dbModule.dbConfig,
+                // Add performance optimizations if not present
+                max: dbModule.dbConfig.max || 10,
+                idleTimeoutMillis: dbModule.dbConfig.idleTimeoutMillis || 30000,
+                connectionTimeoutMillis: dbModule.dbConfig.connectionTimeoutMillis || 60000,
+                statement_timeout: 1800000,
+                query_timeout: 1800000
+            };
+        }
+    }
+} catch (err) {
+    console.warn('Could not load DB config from individual script modules:', err.message);
+}
+
+// Debug log connection info (without password)
+console.log('DB Connection Info:', {
+    connectionString: dbConfig.connectionString ? 'PROVIDED' : undefined,
+    host: dbConfig.host,
+    user: dbConfig.user,
+    database: dbConfig.database,
+    port: dbConfig.port,
+    ssl: dbConfig.ssl ? 'ENABLED' : 'DISABLED',
+    password: (dbConfig.password || dbConfig.connectionString) ? '****' : 'MISSING' // Only show if credentials exist
+});
+
+const pool = new Pool(dbConfig);
+
+const getConnection = () => {
+    return pool.connect();
+};
+
+const closePool = () => {
+    console.log("Closing database connection pool.");
+    return pool.end();
+};
+
+// --- Progress Utilities ---
+// Using functions directly instead of globals
+const progressUtils = require('./metrics-new/utils/progress'); // Assuming utils/progress.js exports these
+
+// --- State & Cancellation ---
+let isCancelled = false;
+let currentStep = ''; // Track which step is running for cancellation message
+let overallStartTime = null;
+let mainTimeoutHandle = null;
+let stepTimeoutHandle = null;
+let combinedHistoryId = null; // ID for the combined history record
+
+async function cancelCalculation(reason = 'cancelled by user') {
+    if (isCancelled) return; // Prevent multiple cancellations
+    isCancelled = true;
+    console.log(`Calculation ${reason}. Attempting to cancel active step: ${currentStep}`);
+
+    // Clear timeouts
+    if (mainTimeoutHandle) clearTimeout(mainTimeoutHandle);
+    if (stepTimeoutHandle) clearTimeout(stepTimeoutHandle);
+
+    // Attempt to cancel the long-running query in Postgres
+    let conn = null;
+    try {
+        console.log(`Attempting to cancel queries running longer than ${CANCEL_QUERY_AFTER_SECONDS} seconds...`);
+        conn = await getConnection();
+        const result = await conn.query(`
+            SELECT pg_cancel_backend(pid)
+            FROM pg_stat_activity
+            WHERE query_start < now() - interval '${CANCEL_QUERY_AFTER_SECONDS} seconds'
+            AND application_name = 'node-metrics-calculator' -- Match specific app name
+            AND state = 'active' -- Only cancel active queries
+            AND query NOT LIKE '%pg_cancel_backend%'
+            AND pid <> pg_backend_pid(); -- Don't cancel self
+        `);
+        console.log(`Sent ${result.rowCount} cancellation signal(s).`);
+
+        // Update the combined history record to show cancellation
+        if (combinedHistoryId) {
+            const totalDuration = Math.round((Date.now() - overallStartTime) / 1000);
+            await conn.query(`
+                UPDATE calculate_history
+                SET
+                    status = 'cancelled'::calculation_status,
+                    end_time = NOW(),
+                    duration_seconds = $1::integer,
+                    error_message = $2::text
+                WHERE id = $3::integer;
+            `, [totalDuration, `Calculation ${reason} during step: ${currentStep}`, combinedHistoryId]);
+            console.log(`Updated combined history record ${combinedHistoryId} with cancellation status`);
+        }
+
+        conn.release();
+    } catch (err) {
+        console.error('Error during database query cancellation:', err.message);
+        if (conn) {
+            try { conn.release(); } catch (e) { console.error("Error releasing cancellation connection", e); }
+        }
+        // Proceed with script termination attempt even if DB cancel fails
+    } finally {
+         // Update progress to show cancellation
+        progressUtils.outputProgress({
+            status: 'cancelled',
+            operation: `Calculation ${reason} during step: ${currentStep}`,
+            current: 0, // Reset progress indicators
+            total: 100,
+            elapsed: overallStartTime ? progressUtils.formatElapsedTime(overallStartTime) : 'N/A',
+            remaining: null,
+            rate: 0,
+            percentage: '0', // Or keep last known percentage?
+            timing: {
+                start_time: overallStartTime ? new Date(overallStartTime).toISOString() : 'N/A',
+                end_time: new Date().toISOString(),
+                elapsed_seconds: overallStartTime ? Math.round((Date.now() - overallStartTime) / 1000) : 0
+            }
+        });
+    }
+
+    // Note: We don't force exit here anymore. We let the main function's error
+    // handling catch the cancellation error thrown by executeSqlStep or the timeout.
+    return {
+        success: true, // Indicates cancellation was initiated
+        message: `Calculation ${reason}`
+    };
+}
+
+// Handle SIGINT (Ctrl+C) and SIGTERM (kill) signals
+process.on('SIGINT', () => {
+    console.log('\nReceived SIGINT (Ctrl+C).');
+    cancelCalculation('cancelled by user (SIGINT)');
+    // Give cancellation a moment to propagate before force-exiting if needed
+    setTimeout(() => process.exit(1), 2000);
+});
+process.on('SIGTERM', () => {
+    console.log('Received SIGTERM.');
+    cancelCalculation('cancelled by system (SIGTERM)');
+    // Give cancellation a moment to propagate before force-exiting if needed
+    setTimeout(() => process.exit(1), 2000);
+});
+
+// Add error handlers for uncaught exceptions/rejections
+process.on('uncaughtException', (error) => {
+    console.error('Uncaught Exception:', error);
+    // Attempt graceful shutdown/logging if possible, then exit
+    cancelCalculation('failed due to uncaught exception').finally(() => {
+        closePool().finally(() => process.exit(1));
+    });
+});
+
+process.on('unhandledRejection', (reason, promise) => {
+    console.error('Unhandled Rejection at:', promise, 'reason:', reason);
+    // Attempt graceful shutdown/logging if possible, then exit
+    cancelCalculation('failed due to unhandled rejection').finally(() => {
+        closePool().finally(() => process.exit(1));
+    });
+});
+
+
+// --- Core Logic ---
+
+/**
+ * Ensures all products have entries in the settings_product table
+ * This is important after importing new products
+ */
+async function syncSettingsProductTable() {
+    let conn = null;
+    try {
+        currentStep = 'Syncing settings_product table';
+        progressUtils.outputProgress({
+            operation: 'Syncing product settings',
+            message: 'Ensuring all products have settings entries'
+        });
+
+        conn = await getConnection();
+        
+        // Get counts before sync
+        const beforeCounts = await conn.query(`
+            SELECT 
+                (SELECT COUNT(*) FROM products) AS products_count,
+                (SELECT COUNT(*) FROM settings_product) AS settings_count
+        `);
+        
+        const productsCount = parseInt(beforeCounts.rows[0].products_count);
+        const settingsCount = parseInt(beforeCounts.rows[0].settings_count);
+        
+        progressUtils.outputProgress({
+            operation: 'Settings product sync',
+            message: `Found ${productsCount} products and ${settingsCount} settings entries`
+        });
+        
+        // Insert missing product settings
+        const result = await conn.query(`
+            INSERT INTO settings_product (
+                pid,
+                lead_time_days,
+                days_of_stock,
+                safety_stock,
+                forecast_method,
+                exclude_from_forecast
+            )
+            SELECT
+                p.pid,
+                CAST(NULL AS INTEGER),
+                CAST(NULL AS INTEGER),
+                COALESCE((SELECT setting_value::int FROM settings_global WHERE setting_key = 'default_safety_stock_units'), 0),
+                CAST(NULL AS VARCHAR),
+                FALSE
+            FROM
+                public.products p
+            WHERE
+                NOT EXISTS (
+                    SELECT 1 FROM settings_product sp WHERE sp.pid = p.pid
+                )
+            ON CONFLICT (pid) DO NOTHING
+        `);
+        
+        // Get counts after sync
+        const afterCounts = await conn.query(`
+            SELECT COUNT(*) AS settings_count FROM settings_product
+        `);
+        
+        const newSettingsCount = parseInt(afterCounts.rows[0].settings_count);
+        const addedCount = newSettingsCount - settingsCount;
+        
+        progressUtils.outputProgress({
+            operation: 'Settings product sync',
+            message: `Added ${addedCount} new settings entries. Now have ${newSettingsCount} total entries.`,
+            status: 'complete'
+        });
+        
+        conn.release();
+        return addedCount;
+    } catch (err) {
+        progressUtils.outputProgress({
+            status: 'error',
+            operation: 'Settings product sync failed',
+            error: err.message
+        });
+        if (conn) conn.release();
+        throw err;
+    }
+}
+
+/**
+ * Executes a single SQL calculation step.
+ * @param {object} config - Configuration for the step.
+ * @param {string} config.name - User-friendly name of the step.
+ * @param {string} config.sqlFile - Path to the SQL file.
+ * @param {string} config.historyType - Type identifier for calculate_history.
+ * @param {string} config.statusModule - Module name for calculate_status.
+ * @param {object} progress - Progress utility functions.
+ * @returns {Promise<{success: boolean, message: string, duration: number, rowsAffected: number}>}
+ */
+async function executeSqlStep(config, progress) {
+    if (isCancelled) throw new Error(`Calculation skipped step ${config.name} due to prior cancellation.`);
+
+    currentStep = config.name; // Update global state
+    console.log(`\n--- Starting Step: ${config.name} ---`);
+    const stepStartTime = Date.now();
+    let connection = null;
+    let rowsAffected = 0; // Track rows affected by this step
+
+    // Set timeout for this specific step
+    if (stepTimeoutHandle) clearTimeout(stepTimeoutHandle); // Clear previous step's timeout
+    stepTimeoutHandle = setTimeout(() => {
+        // Don't exit directly, throw an error to be caught by the main loop
+        const timeoutError = new Error(`Step "${config.name}" timed out after ${MAX_EXECUTION_TIME_PER_STEP / 1000} seconds.`);
+        cancelCalculation(`timed out during step: ${config.name}`); // Initiate cancellation process
+        // The error will likely be thrown before cancelCalculation fully completes,
+        // but cancelCalculation attempts to stop the query.
+        // The main catch block will handle cleanup.
+    }, MAX_EXECUTION_TIME_PER_STEP);
+
+
+    try {
+        // 1. Read SQL File
+        const sqlFilePath = path.resolve(__dirname, config.sqlFile);
+        if (!fs.existsSync(sqlFilePath)) {
+            throw new Error(`SQL file not found: ${sqlFilePath}`);
+        }
+        const sqlQuery = fs.readFileSync(sqlFilePath, 'utf8');
+        console.log(`Read SQL file: ${config.sqlFile}`);
+        
+        // Check for potential parameter references that might cause issues
+        const parameterMatches = sqlQuery.match(/\$\d+(?!\:\:)/g);
+        if (parameterMatches && parameterMatches.length > 0) {
+            console.warn(`WARNING: Found ${parameterMatches.length} untyped parameters in SQL: ${parameterMatches.slice(0, 5).join(', ')}${parameterMatches.length > 5 ? '...' : ''}`);
+            console.warn('These might cause "could not determine data type of parameter" errors.');
+        }
+
+        // 2. Get Database Connection
+        connection = await getConnection();
+        console.log("Database connection acquired.");
+
+        // 3. Ensure calculate_status table exists
+        await connection.query(`
+            CREATE TABLE IF NOT EXISTS calculate_status (
+                module_name TEXT PRIMARY KEY,
+                last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
+            );
+        `);
+
+        // 4. Initial Progress Update
+        progress.outputProgress({
+            status: 'running',
+            operation: `Starting: ${config.name}`,
+            current: 0, total: 100,
+            elapsed: progress.formatElapsedTime(stepStartTime),
+            remaining: 'Calculating...', rate: 0, percentage: '0',
+            timing: { 
+                start_time: new Date(stepStartTime).toISOString(),
+                step_start_ms: stepStartTime
+            }
+        });
+
+        // 5. Execute the Main SQL Query
+        progress.outputProgress({
+            status: 'running',
+            operation: `Executing SQL: ${config.name}`,
+            current: 25, total: 100,
+            elapsed: progress.formatElapsedTime(stepStartTime),
+            remaining: 'Executing query...', rate: 0, percentage: '25',
+            timing: { 
+                start_time: new Date(stepStartTime).toISOString(),
+                step_start_ms: stepStartTime
+            }
+        });
+        console.log(`Executing SQL for ${config.name}...`);
+
+        try {
+            // Try executing exactly as individual scripts do
+            const result = await connection.query(sqlQuery);
+            
+            // Try to extract row count from result
+            if (result && result.rowCount !== undefined) {
+                rowsAffected = result.rowCount;
+            } else if (Array.isArray(result) && result[0] && result[0].rowCount !== undefined) {
+                rowsAffected = result[0].rowCount;
+            }
+            
+            // Check if the query returned a result set with row count info
+            if (result && result.rows && result.rows.length > 0 && result.rows[0].rows_processed) {
+                rowsAffected = parseInt(result.rows[0].rows_processed) || rowsAffected;
+                console.log(`SQL returned metrics: ${JSON.stringify(result.rows[0])}`);
+            } else if (Array.isArray(result) && result[0] && result[0].rows && result[0].rows[0] && result[0].rows[0].rows_processed) {
+                rowsAffected = parseInt(result[0].rows[0].rows_processed) || rowsAffected;
+                console.log(`SQL returned metrics: ${JSON.stringify(result[0].rows[0])}`);
+            }
+            
+            console.log(`SQL affected ${rowsAffected} rows`);
+        } catch (sqlError) {
+            if (sqlError.message.includes('could not determine data type of parameter')) {
+                console.log('Simple query failed with parameter type error, trying alternative method...');
+                try {
+                    // Execute with explicit text mode to avoid parameter confusion
+                    await connection.query({
+                        text: sqlQuery,
+                        rowMode: 'text'
+                    });
+                } catch (altError) {
+                    console.error('Alternative execution method also failed:', altError.message);
+                    throw altError; // Re-throw the alternative error
+                }
+            } else {
+                console.error('SQL Execution Error:', sqlError.message);
+                if (sqlError.position) {
+                    // If the error has a position, try to show the relevant part of the SQL query
+                    const position = parseInt(sqlError.position, 10);
+                    const startPos = Math.max(0, position - 100);
+                    const endPos = Math.min(sqlQuery.length, position + 100);
+                    console.error('SQL Error Context:');
+                    console.error('...' + sqlQuery.substring(startPos, position) + ' [ERROR HERE] ' + sqlQuery.substring(position, endPos) + '...');
+                }
+                throw sqlError; // Re-throw to be caught by the main try/catch
+            }
+        }
+
+        // Check for cancellation immediately after query finishes
+        if (isCancelled) throw new Error(`Calculation cancelled during SQL execution for ${config.name}`);
+
+        console.log(`SQL execution finished for ${config.name}.`);
+
+        // 6. Update Status table only
+        await connection.query(`
+            INSERT INTO calculate_status (module_name, last_calculation_timestamp)
+            VALUES ($1::text, NOW())
+            ON CONFLICT (module_name) DO UPDATE
+            SET last_calculation_timestamp = EXCLUDED.last_calculation_timestamp;
+        `, [config.statusModule]);
+
+        const stepDuration = Math.round((Date.now() - stepStartTime) / 1000);
+
+        // 7. Final Progress Update for Step
+        progress.outputProgress({
+            status: 'complete',
+            operation: `Completed: ${config.name}`,
+            current: 100, total: 100,
+            elapsed: progress.formatElapsedTime(stepStartTime),
+            remaining: '0s', rate: 0, percentage: '100',
+            timing: {
+                start_time: new Date(stepStartTime).toISOString(),
+                end_time: new Date().toISOString(),
+                elapsed_seconds: stepDuration
+            }
+        });
+        console.log(`--- Finished Step: ${config.name} (Duration: ${progress.formatElapsedTime(stepStartTime)}) ---`);
+
+        return {
+            success: true,
+            message: `${config.name} completed successfully`,
+            duration: stepDuration,
+            rowsAffected: rowsAffected
+        };
+
+    } catch (error) {
+        clearTimeout(stepTimeoutHandle); // Clear timeout on error
+        const errorEndTime = Date.now();
+        const errorDuration = Math.round((errorEndTime - stepStartTime) / 1000);
+        const finalStatus = isCancelled ? 'cancelled' : 'failed';
+        const errorMessage = error.message || 'Unknown error';
+
+        console.error(`--- ERROR in Step: ${config.name} ---`);
+        console.error(error); // Log the full error
+        console.error(`------------------------------------`);
+
+        // Update progress file with error/cancellation
+        progress.outputProgress({
+            status: finalStatus,
+            operation: `Error in ${config.name}: ${errorMessage.split('\n')[0]}`, // Show first line of error
+            current: 50, total: 100, // Indicate partial completion
+            elapsed: progress.formatElapsedTime(stepStartTime),
+            remaining: null, rate: 0, percentage: '50',
+            timing: {
+                start_time: new Date(stepStartTime).toISOString(),
+                end_time: new Date(errorEndTime).toISOString(),
+                elapsed_seconds: errorDuration
+            }
+        });
+
+        // Rethrow the error to be caught by the main runCalculations function
+        throw error; // Add context if needed: new Error(`Step ${config.name} failed: ${errorMessage}`)
+
+    } finally {
+        clearTimeout(stepTimeoutHandle); // Ensure timeout is cleared
+        currentStep = ''; // Reset current step
+        if (connection) {
+            try {
+                await connection.release();
+                console.log("Database connection released.");
+            } catch (releaseError) {
+                console.error("Error releasing database connection:", releaseError);
+            }
+        }
+    }
+}
+
+/**
+ * Main function to run all calculation steps sequentially.
+ */
+async function runAllCalculations() {
+    overallStartTime = Date.now();
+    isCancelled = false; // Reset cancellation flag at start
+
+    // Overall timeout for the entire script
+     mainTimeoutHandle = setTimeout(() => {
+        console.error(`--- OVERALL TIMEOUT REACHED (${MAX_EXECUTION_TIME_TOTAL / 1000}s) ---`);
+        cancelCalculation(`overall timeout reached`);
+        // The process should exit via the unhandled rejection/exception handlers
+        // or the SIGTERM/SIGINT handlers after cancellation attempt.
+    }, MAX_EXECUTION_TIME_TOTAL);
+
+    const steps = [
+        {
+            run: RUN_DAILY_SNAPSHOTS,
+            name: 'Daily Snapshots Update',
+            sqlFile: 'metrics-new/update_daily_snapshots.sql',
+            historyType: 'daily_snapshots',
+            statusModule: 'daily_snapshots'
+        },
+        {
+            run: RUN_PRODUCT_METRICS,
+            name: 'Product Metrics Update',
+            sqlFile: 'metrics-new/update_product_metrics.sql', // ASSUMING the initial population is now part of a regular update
+            historyType: 'product_metrics',
+            statusModule: 'product_metrics'
+        },
+        {
+            run: RUN_PERIODIC_METRICS,
+            name: 'Periodic Metrics Update',
+            sqlFile: 'metrics-new/update_periodic_metrics.sql',
+            historyType: 'periodic_metrics',
+            statusModule: 'periodic_metrics'
+        },
+        {
+            run: RUN_BRAND_METRICS,
+            name: 'Brand Metrics Update',
+            sqlFile: 'metrics-new/calculate_brand_metrics.sql',
+            historyType: 'brand_metrics',
+            statusModule: 'brand_metrics'
+        },
+        {
+            run: RUN_VENDOR_METRICS,
+            name: 'Vendor Metrics Update',
+            sqlFile: 'metrics-new/calculate_vendor_metrics.sql',
+            historyType: 'vendor_metrics',
+            statusModule: 'vendor_metrics'
+        },
+        {
+            run: RUN_CATEGORY_METRICS,
+            name: 'Category Metrics Update',
+            sqlFile: 'metrics-new/calculate_category_metrics.sql',
+            historyType: 'category_metrics',
+            statusModule: 'category_metrics'
+        }
+    ];
+
+    // Build a list of steps we will actually run
+    const stepsToRun = steps.filter(step => step.run);
+    const stepNames = stepsToRun.map(step => step.name);
+    const sqlFiles = stepsToRun.map(step => step.sqlFile);
+    
+    let overallSuccess = true;
+    let connection = null;
+
+    try {
+        // Create a single history record before starting all calculations
+        try {
+            connection = await getConnection();
+            
+            // Ensure calculate_history table exists (basic structure)
+            await connection.query(`
+                CREATE TABLE IF NOT EXISTS calculate_history (
+                    id SERIAL PRIMARY KEY,
+                    start_time TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+                    end_time TIMESTAMP WITH TIME ZONE,
+                    duration_seconds INTEGER,
+                    status TEXT, -- Will be altered to enum if needed below
+                    error_message TEXT,
+                    additional_info JSONB
+                );
+            `);
+
+            // Ensure the calculation_status enum type exists if needed
+            await connection.query(`
+                DO $$
+                BEGIN
+                    IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'calculation_status') THEN
+                        CREATE TYPE calculation_status AS ENUM ('running', 'completed', 'failed', 'cancelled');
+                        
+                        -- If needed, alter the existing table to use the enum
+                        ALTER TABLE calculate_history 
+                        ALTER COLUMN status TYPE calculation_status 
+                        USING status::calculation_status;
+                    END IF;
+                END
+                $$;
+            `);
+
+            // Mark any previous running combined calculations as cancelled
+            await connection.query(`
+                UPDATE calculate_history
+                SET
+                    status = 'cancelled'::calculation_status,
+                    end_time = NOW(),
+                    duration_seconds = EXTRACT(EPOCH FROM (NOW() - start_time))::INTEGER,
+                    error_message = 'Previous calculation was not completed properly or was superseded.'
+                WHERE status = 'running'::calculation_status AND additional_info->>'type' = 'combined_metrics';
+            `);
+
+            // Create a single history record for this run
+            const historyResult = await connection.query(`
+                INSERT INTO calculate_history (status, additional_info)
+                VALUES ('running'::calculation_status, jsonb_build_object(
+                    'type', 'combined_metrics', 
+                    'steps', $1::jsonb,
+                    'sql_files', $2::jsonb
+                ))
+                RETURNING id;
+            `, [JSON.stringify(stepNames), JSON.stringify(sqlFiles)]);
+            
+            combinedHistoryId = historyResult.rows[0].id;
+            console.log(`Created combined history record ID: ${combinedHistoryId}`);
+            
+            // Get initial counts for tracking
+            const productCount = await connection.query('SELECT COUNT(*) as count FROM products');
+            const totalProducts = parseInt(productCount.rows[0].count);
+            
+            // Update history with initial counts
+            await connection.query(`
+                UPDATE calculate_history
+                SET additional_info = additional_info || jsonb_build_object('total_products', $1::integer)
+                WHERE id = $2
+            `, [totalProducts, combinedHistoryId]);
+            
+            connection.release();
+        } catch (historyError) {
+            console.error('Error creating combined history record:', historyError);
+            if (connection) connection.release();
+            // Continue without history tracking if it fails
+        }
+
+        // First, sync the settings_product table to ensure all products have entries
+        progressUtils.outputProgress({
+            operation: 'Starting metrics calculation',
+            message: 'Preparing product settings...'
+        });
+        
+        try {
+            const addedCount = await syncSettingsProductTable();
+            
+            progressUtils.outputProgress({
+                operation: 'Preparation complete',
+                message: `Added ${addedCount} missing product settings entries`,
+                status: 'complete'
+            });
+        } catch (syncError) {
+            console.error('Warning: Failed to sync product settings, continuing with metrics calculations:', syncError);
+            // Don't fail the entire process if settings sync fails
+        }
+
+        // Track completed steps
+        const completedSteps = [];
+        const stepTimings = {};
+        const stepRowCounts = {};
+        let currentStepIndex = 0;
+        
+        // Now run the calculation steps
+        for (const step of stepsToRun) {
+            if (isCancelled) {
+                console.log(`Skipping step "${step.name}" due to cancellation.`);
+                overallSuccess = false; // Mark as not fully successful if steps are skipped due to cancel
+                continue; // Skip to next step
+            }
+            
+            currentStepIndex++;
+            
+            // Update overall progress
+            progressUtils.outputProgress({
+                status: 'running',
+                operation: 'Running calculations',
+                message: `Step ${currentStepIndex} of ${stepsToRun.length}: ${step.name}`,
+                current: currentStepIndex - 1,
+                total: stepsToRun.length,
+                elapsed: progressUtils.formatElapsedTime(overallStartTime),
+                remaining: progressUtils.estimateRemaining(overallStartTime, currentStepIndex - 1, stepsToRun.length),
+                percentage: Math.round(((currentStepIndex - 1) / stepsToRun.length) * 100).toString(),
+                timing: {
+                    overall_start_time: new Date(overallStartTime).toISOString(),
+                    current_step: step.name,
+                    completed_steps: completedSteps.length
+                }
+            });
+            
+            // Pass the progress utilities to the step executor
+            const result = await executeSqlStep(step, progressUtils);
+            
+            if (result.success) {
+                completedSteps.push({
+                    name: step.name,
+                    duration: result.duration,
+                    status: 'completed',
+                    rowsAffected: result.rowsAffected
+                });
+                stepTimings[step.name] = result.duration;
+                stepRowCounts[step.name] = result.rowsAffected;
+            }
+        }
+
+        // If we finished naturally (no errors thrown out)
+        clearTimeout(mainTimeoutHandle); // Clear the main timeout
+
+        // Update the combined history record on successful completion
+        if (combinedHistoryId) {
+            try {
+                connection = await getConnection();
+                const totalDuration = Math.round((Date.now() - overallStartTime) / 1000);
+                
+                // Get final processed counts
+                const processedCounts = await connection.query(`
+                    SELECT 
+                        (SELECT COUNT(*) FROM product_metrics WHERE last_calculated >= $1) as processed_products
+                `, [new Date(overallStartTime)]);
+                
+                await connection.query(`
+                    UPDATE calculate_history
+                    SET
+                        end_time = NOW(),
+                        duration_seconds = $1::integer,
+                        status = $2::calculation_status,
+                        additional_info = additional_info || jsonb_build_object(
+                            'processed_products', $3::integer,
+                            'completed_steps', $4::jsonb,
+                            'step_timings', $5::jsonb,
+                            'step_row_counts', $6::jsonb
+                        )
+                    WHERE id = $7::integer;
+                `, [
+                    totalDuration, 
+                    isCancelled ? 'cancelled' : 'completed',
+                    processedCounts.rows[0].processed_products,
+                    JSON.stringify(completedSteps),
+                    JSON.stringify(stepTimings),
+                    JSON.stringify(stepRowCounts),
+                    combinedHistoryId
+                ]);
+                
+                connection.release();
+            } catch (historyError) {
+                console.error('Error updating combined history record on completion:', historyError);
+                if (connection) connection.release();
+            }
+        }
+
+        if (isCancelled) {
+             console.log("\n--- Calculation finished with cancellation ---");
+             overallSuccess = false;
+        } else {
+            console.log("\n--- All enabled calculations finished successfully ---");
+            
+            // Send final completion progress
+            progressUtils.outputProgress({
+                status: 'complete',
+                operation: 'All calculations completed',
+                message: `Successfully completed ${completedSteps.length} of ${stepsToRun.length} steps`,
+                current: stepsToRun.length,
+                total: stepsToRun.length,
+                elapsed: progressUtils.formatElapsedTime(overallStartTime),
+                remaining: '0s',
+                percentage: '100',
+                timing: {
+                    overall_start_time: new Date(overallStartTime).toISOString(),
+                    overall_end_time: new Date().toISOString(),
+                    total_duration_seconds: Math.round((Date.now() - overallStartTime) / 1000),
+                    step_timings: stepTimings,
+                    completed_steps: completedSteps.length
+                }
+            });
+            
+            progressUtils.clearProgress(); // Clear progress only on full success
+        }
+
+    } catch (error) {
+        clearTimeout(mainTimeoutHandle); // Clear the main timeout
+        console.error("\n--- SCRIPT EXECUTION FAILED ---");
+        // Error details were already logged by executeSqlStep or global handlers
+        overallSuccess = false;
+        
+        // Update the combined history record on error
+        if (combinedHistoryId) {
+            try {
+                connection = await getConnection();
+                const totalDuration = Math.round((Date.now() - overallStartTime) / 1000);
+                
+                await connection.query(`
+                    UPDATE calculate_history
+                    SET
+                        end_time = NOW(),
+                        duration_seconds = $1::integer,
+                        status = $2::calculation_status,
+                        error_message = $3::text
+                    WHERE id = $4::integer;
+                `, [
+                    totalDuration, 
+                    isCancelled ? 'cancelled' : 'failed', 
+                    error.message.substring(0, 1000), 
+                    combinedHistoryId
+                ]);
+                
+                connection.release();
+            } catch (historyError) {
+                console.error('Error updating combined history record on error:', historyError);
+                if (connection) connection.release();
+            }
+        }
+    } finally {
+        await closePool();
+        console.log(`Total execution time: ${progressUtils.formatElapsedTime(overallStartTime)}`);
+        process.exit(overallSuccess ? 0 : 1);
+    }
+}
+
+// --- Script Execution ---
+if (require.main === module) {
+    runAllCalculations();
+} else {
+    // Export functions if needed as a module (e.g., for testing or API)
+    module.exports = {
+        runAllCalculations,
+        cancelCalculation,
+        syncSettingsProductTable,
+        // Expose individual steps if useful, wrapping them slightly
+        runDailySnapshots: () => executeSqlStep({ name: 'Daily Snapshots Update', sqlFile: 'update_daily_snapshots.sql', historyType: 'daily_snapshots', statusModule: 'daily_snapshots' }, progressUtils),
+        runProductMetrics: () => executeSqlStep({ name: 'Product Metrics Update', sqlFile: 'update_product_metrics.sql', historyType: 'product_metrics', statusModule: 'product_metrics' }, progressUtils),
+        runPeriodicMetrics: () => executeSqlStep({ name: 'Periodic Metrics Update', sqlFile: 'update_periodic_metrics.sql', historyType: 'periodic_metrics', statusModule: 'periodic_metrics' }, progressUtils),
+        runBrandMetrics: () => executeSqlStep({ name: 'Brand Metrics Update', sqlFile: 'calculate_brand_metrics.sql', historyType: 'brand_metrics', statusModule: 'brand_metrics' }, progressUtils),
+        runVendorMetrics: () => executeSqlStep({ name: 'Vendor Metrics Update', sqlFile: 'calculate_vendor_metrics.sql', historyType: 'vendor_metrics', statusModule: 'vendor_metrics' }, progressUtils),
+        runCategoryMetrics: () => executeSqlStep({ name: 'Category Metrics Update', sqlFile: 'calculate_category_metrics.sql', historyType: 'category_metrics', statusModule: 'category_metrics' }, progressUtils),
+        getProgress: progressUtils.getProgress
+    };
+}

inventory-server/scripts/full-reset.js

@@ -88,7 +88,7 @@ async function fullReset() {
             operation: 'Starting metrics calculation',
             message: 'Step 3/3: Calculating metrics...'
         });
-        await runScript(path.join(__dirname, 'calculate-metrics.js'));
+        await runScript(path.join(__dirname, 'calculate-metrics-new.js'));
         
         // Final completion message
         outputProgress({

inventory-server/scripts/full-update.js

@@ -68,7 +68,7 @@ async function fullUpdate() {
             operation: 'Starting metrics calculation',
             message: 'Step 2/2: Calculating metrics...'
         });
-        await runScript(path.join(__dirname, 'calculate-metrics.js'));
+        await runScript(path.join(__dirname, 'calculate-metrics-new.js'));
         outputProgress({
             status: 'complete',
             operation: 'Metrics step complete',

inventory-server/scripts/import-from-prod.js

@@ -1,6 +1,6 @@
 const dotenv = require("dotenv");
 const path = require("path");
-const { outputProgress, formatElapsedTime } = require('./metrics/utils/progress');
+const { outputProgress, formatElapsedTime } = require('./metrics-new/utils/progress');
 const { setupConnections, closeConnections } = require('./import/utils');
 const importCategories = require('./import/categories');
 const { importProducts } = require('./import/products');
@@ -10,9 +10,9 @@ const importPurchaseOrders = require('./import/purchase-orders');
 dotenv.config({ path: path.join(__dirname, "../.env") });
 
 // Constants to control which imports run
-const IMPORT_CATEGORIES = false;
-const IMPORT_PRODUCTS = false;
-const IMPORT_ORDERS = false;
+const IMPORT_CATEGORIES = true;
+const IMPORT_PRODUCTS = true;
+const IMPORT_ORDERS = true;
 const IMPORT_PURCHASE_ORDERS = true;
 
 // Add flag for incremental updates
@@ -36,7 +36,7 @@ const sshConfig = {
     password: process.env.PROD_DB_PASSWORD,
     database: process.env.PROD_DB_NAME,
     port: process.env.PROD_DB_PORT || 3306,
-    timezone: 'Z',
+    timezone: '-05:00', // Production DB always stores times in EST (UTC-5) regardless of DST
   },
   localDbConfig: {
     // PostgreSQL config for local
@@ -108,17 +108,6 @@ async function main() {
       WHERE status = 'running'
     `);
 
-    // Initialize sync_status table if it doesn't exist
-    await localConnection.query(`
-      CREATE TABLE IF NOT EXISTS sync_status (
-        table_name VARCHAR(50) PRIMARY KEY,
-        last_sync_timestamp TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
-        last_sync_id BIGINT
-      );
-
-      CREATE INDEX IF NOT EXISTS idx_last_sync ON sync_status (last_sync_timestamp);
-    `);
-
     // Create import history record for the overall session
     try {
       const [historyResult] = await localConnection.query(`
@@ -162,38 +151,55 @@ async function main() {
 
     let totalRecordsAdded = 0;
     let totalRecordsUpdated = 0;
+    let totalRecordsDeleted = 0;  // Add tracking for deleted records
+    let totalRecordsSkipped = 0;  // Track skipped/filtered records
+    const stepTimings = {};
 
     // Run each import based on constants
     if (IMPORT_CATEGORIES) {
+      const stepStart = Date.now();
       results.categories = await importCategories(prodConnection, localConnection);
+      stepTimings.categories = Math.round((Date.now() - stepStart) / 1000);
+      
       if (isImportCancelled) throw new Error("Import cancelled");
       completedSteps++;
       console.log('Categories import result:', results.categories);
-      totalRecordsAdded += parseInt(results.categories?.recordsAdded || 0) || 0;
-      totalRecordsUpdated += parseInt(results.categories?.recordsUpdated || 0) || 0;
+      totalRecordsAdded += parseInt(results.categories?.recordsAdded || 0);
+      totalRecordsUpdated += parseInt(results.categories?.recordsUpdated || 0);
     }
 
     if (IMPORT_PRODUCTS) {
+      const stepStart = Date.now();
       results.products = await importProducts(prodConnection, localConnection, INCREMENTAL_UPDATE);
+      stepTimings.products = Math.round((Date.now() - stepStart) / 1000);
+      
       if (isImportCancelled) throw new Error("Import cancelled");
       completedSteps++;
       console.log('Products import result:', results.products);
-      totalRecordsAdded += parseInt(results.products?.recordsAdded || 0) || 0;
-      totalRecordsUpdated += parseInt(results.products?.recordsUpdated || 0) || 0;
+      totalRecordsAdded += parseInt(results.products?.recordsAdded || 0);
+      totalRecordsUpdated += parseInt(results.products?.recordsUpdated || 0);
+      totalRecordsSkipped += parseInt(results.products?.skippedUnchanged || 0);
     }
 
     if (IMPORT_ORDERS) {
+      const stepStart = Date.now();
       results.orders = await importOrders(prodConnection, localConnection, INCREMENTAL_UPDATE);
+      stepTimings.orders = Math.round((Date.now() - stepStart) / 1000);
+      
       if (isImportCancelled) throw new Error("Import cancelled");
       completedSteps++;
       console.log('Orders import result:', results.orders);
-      totalRecordsAdded += parseInt(results.orders?.recordsAdded || 0) || 0;
-      totalRecordsUpdated += parseInt(results.orders?.recordsUpdated || 0) || 0;
+      totalRecordsAdded += parseInt(results.orders?.recordsAdded || 0);
+      totalRecordsUpdated += parseInt(results.orders?.recordsUpdated || 0);
+      totalRecordsSkipped += parseInt(results.orders?.totalSkipped || 0);
     }
 
     if (IMPORT_PURCHASE_ORDERS) {
       try {
+        const stepStart = Date.now();
         results.purchaseOrders = await importPurchaseOrders(prodConnection, localConnection, INCREMENTAL_UPDATE);
+        stepTimings.purchaseOrders = Math.round((Date.now() - stepStart) / 1000);
+        
         if (isImportCancelled) throw new Error("Import cancelled");
         completedSteps++;
         console.log('Purchase orders import result:', results.purchaseOrders);
@@ -202,8 +208,9 @@ async function main() {
         if (results.purchaseOrders?.status === 'error') {
           console.error('Purchase orders import had an error:', results.purchaseOrders.error);
         } else {
-          totalRecordsAdded += parseInt(results.purchaseOrders?.recordsAdded || 0) || 0;
-          totalRecordsUpdated += parseInt(results.purchaseOrders?.recordsUpdated || 0) || 0;
+          totalRecordsAdded += parseInt(results.purchaseOrders?.recordsAdded || 0);
+          totalRecordsUpdated += parseInt(results.purchaseOrders?.recordsUpdated || 0);
+          totalRecordsDeleted += parseInt(results.purchaseOrders?.recordsDeleted || 0);
         }
       } catch (error) {
         console.error('Error during purchase orders import:', error);
@@ -237,13 +244,16 @@ async function main() {
           'categories_result', COALESCE($8::jsonb, 'null'::jsonb),
           'products_result', COALESCE($9::jsonb, 'null'::jsonb),
           'orders_result', COALESCE($10::jsonb, 'null'::jsonb),
-          'purchase_orders_result', COALESCE($11::jsonb, 'null'::jsonb)
+          'purchase_orders_result', COALESCE($11::jsonb, 'null'::jsonb),
+          'total_deleted', $12::integer,
+          'total_skipped', $13::integer,
+          'step_timings', $14::jsonb
         )
-      WHERE id = $12
+      WHERE id = $15
     `, [
       totalElapsedSeconds,
-      parseInt(totalRecordsAdded) || 0,
-      parseInt(totalRecordsUpdated) || 0,
+      parseInt(totalRecordsAdded),
+      parseInt(totalRecordsUpdated),
       IMPORT_CATEGORIES,
       IMPORT_PRODUCTS,
       IMPORT_ORDERS,
@@ -252,6 +262,9 @@ async function main() {
       JSON.stringify(results.products),
       JSON.stringify(results.orders),
       JSON.stringify(results.purchaseOrders),
+      totalRecordsDeleted,
+      totalRecordsSkipped,
+      JSON.stringify(stepTimings),
       importHistoryId
     ]);
 

inventory-server/scripts/import/categories.js

@@ -1,4 +1,4 @@
-const { outputProgress, formatElapsedTime } = require('../metrics/utils/progress');
+const { outputProgress, formatElapsedTime } = require('../metrics-new/utils/progress');
 
 async function importCategories(prodConnection, localConnection) {
   outputProgress({
@@ -16,6 +16,9 @@ async function importCategories(prodConnection, localConnection) {
     // Start a single transaction for the entire import
     await localConnection.query('BEGIN');
     
+    // Temporarily disable the trigger that's causing problems
+    await localConnection.query('ALTER TABLE categories DISABLE TRIGGER update_categories_updated_at');
+
     // Process each type in order with its own savepoint
     for (const type of typeOrder) {
       try {
@@ -89,6 +92,12 @@ async function importCategories(prodConnection, localConnection) {
               description = EXCLUDED.description,
               status = EXCLUDED.status,
               updated_at = EXCLUDED.updated_at
+            WHERE -- Only update if at least one field has changed
+              categories.name IS DISTINCT FROM EXCLUDED.name OR
+              categories.type IS DISTINCT FROM EXCLUDED.type OR
+              categories.parent_id IS DISTINCT FROM EXCLUDED.parent_id OR
+              categories.description IS DISTINCT FROM EXCLUDED.description OR
+              categories.status IS DISTINCT FROM EXCLUDED.status
             RETURNING 
               cat_id,
               CASE 
@@ -130,7 +139,7 @@ async function importCategories(prodConnection, localConnection) {
           message: `Imported ${inserted} (updated ${updated}) categories of type ${type}`,
           current: totalInserted + totalUpdated,
           total: categories.length,
-          elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+          elapsed: formatElapsedTime(startTime),
         });
       } catch (error) {
         // Rollback to the savepoint for this type
@@ -150,12 +159,15 @@ async function importCategories(prodConnection, localConnection) {
         last_sync_timestamp = NOW()
     `);
     
+    // Re-enable the trigger
+    await localConnection.query('ALTER TABLE categories ENABLE TRIGGER update_categories_updated_at');
+
     outputProgress({
       status: "complete",
       operation: "Categories import completed",
       current: totalInserted + totalUpdated,
       total: totalInserted + totalUpdated,
-      duration: formatElapsedTime((Date.now() - startTime) / 1000),
+      duration: formatElapsedTime(startTime),
       warnings: skippedCategories.length > 0 ? {
         message: "Some categories were skipped due to missing parents",
         skippedCategories
@@ -178,6 +190,9 @@ async function importCategories(prodConnection, localConnection) {
     // Only rollback if we haven't committed yet
     try {
       await localConnection.query('ROLLBACK');
+      
+      // Make sure we re-enable the trigger even if there was an error
+      await localConnection.query('ALTER TABLE categories ENABLE TRIGGER update_categories_updated_at');
     } catch (rollbackError) {
       console.error("Error during rollback:", rollbackError);
     }

inventory-server/scripts/import/orders.js

@@ -1,4 +1,4 @@
-const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics-new/utils/progress');
 const { importMissingProducts, setupTemporaryTables, cleanupTemporaryTables, materializeCalculations } = require('./products');
 
 /**
@@ -26,10 +26,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
   let cumulativeProcessedOrders = 0;
 
   try {
-    // Begin transaction
-    await localConnection.beginTransaction();
-    
-    // Get last sync info
+    // Get last sync info - NOT in a transaction anymore
     const [syncInfo] = await localConnection.query(
       "SELECT last_sync_timestamp FROM sync_status WHERE table_name = 'orders'"
     );
@@ -43,8 +40,8 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
       FROM order_items oi
       JOIN _order o ON oi.order_id = o.order_id
       WHERE o.order_status >= 15
-        AND o.date_placed_onlydate >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
-        AND o.date_placed_onlydate IS NOT NULL
+        AND o.date_placed >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
+        AND o.date_placed IS NOT NULL
         ${incrementalUpdate ? `
           AND (
             o.stamp > ? 
@@ -82,8 +79,8 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
       FROM order_items oi
       JOIN _order o ON oi.order_id = o.order_id
       WHERE o.order_status >= 15
-        AND o.date_placed_onlydate >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
-        AND o.date_placed_onlydate IS NOT NULL
+        AND o.date_placed >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
+        AND o.date_placed IS NOT NULL
         ${incrementalUpdate ? `
           AND (
             o.stamp > ? 
@@ -107,62 +104,96 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
     console.log('Orders: Found', orderItems.length, 'order items to process');
 
     // Create tables in PostgreSQL for data processing
+    // Start a transaction just for creating the temp tables
+    await localConnection.beginTransaction();
+    try {
       await localConnection.query(`
         DROP TABLE IF EXISTS temp_order_items;
         DROP TABLE IF EXISTS temp_order_meta;
         DROP TABLE IF EXISTS temp_order_discounts;
         DROP TABLE IF EXISTS temp_order_taxes;
         DROP TABLE IF EXISTS temp_order_costs;
+        DROP TABLE IF EXISTS temp_main_discounts;
+        DROP TABLE IF EXISTS temp_item_discounts;
 
         CREATE TEMP TABLE temp_order_items (
           order_id INTEGER NOT NULL,
           pid INTEGER NOT NULL,
-        SKU VARCHAR(50) NOT NULL,
-        price DECIMAL(10,2) NOT NULL,
+          sku TEXT NOT NULL,
+          price NUMERIC(14, 4) NOT NULL,
           quantity INTEGER NOT NULL,
-        base_discount DECIMAL(10,2) DEFAULT 0,
+          base_discount NUMERIC(14, 4) DEFAULT 0,
           PRIMARY KEY (order_id, pid)
         );
 
         CREATE TEMP TABLE temp_order_meta (
           order_id INTEGER NOT NULL,
-        date DATE NOT NULL,
-        customer VARCHAR(100) NOT NULL,
-        customer_name VARCHAR(150) NOT NULL,
-        status INTEGER,
+          date TIMESTAMP WITH TIME ZONE NOT NULL,
+          customer TEXT NOT NULL,
+          customer_name TEXT NOT NULL,
+          status TEXT,
           canceled BOOLEAN,
-        summary_discount DECIMAL(10,2) DEFAULT 0.00,
-        summary_subtotal DECIMAL(10,2) DEFAULT 0.00,
+          summary_discount NUMERIC(14, 4) DEFAULT 0.0000,
+          summary_subtotal NUMERIC(14, 4) DEFAULT 0.0000,
+          summary_discount_subtotal NUMERIC(14, 4) DEFAULT 0.0000,
           PRIMARY KEY (order_id)
         );
 
         CREATE TEMP TABLE temp_order_discounts (
           order_id INTEGER NOT NULL,
           pid INTEGER NOT NULL,
-        discount DECIMAL(10,2) NOT NULL,
+          discount NUMERIC(14, 4) NOT NULL,
           PRIMARY KEY (order_id, pid)
         );
 
+        CREATE TEMP TABLE temp_main_discounts (
+          order_id INTEGER NOT NULL,
+          discount_id INTEGER NOT NULL,
+          discount_amount_subtotal NUMERIC(14, 4) DEFAULT 0.0000,
+          PRIMARY KEY (order_id, discount_id)
+        );
+
+        CREATE TEMP TABLE temp_item_discounts (
+          order_id INTEGER NOT NULL,
+          pid INTEGER NOT NULL,
+          discount_id INTEGER NOT NULL,
+          amount NUMERIC(14, 4) NOT NULL,
+          PRIMARY KEY (order_id, pid, discount_id)
+        );
+
         CREATE TEMP TABLE temp_order_taxes (
           order_id INTEGER NOT NULL,
           pid INTEGER NOT NULL,
-        tax DECIMAL(10,2) NOT NULL,
+          tax NUMERIC(14, 4) NOT NULL,
           PRIMARY KEY (order_id, pid)
         );
 
         CREATE TEMP TABLE temp_order_costs (
           order_id INTEGER NOT NULL,
           pid INTEGER NOT NULL,
-        costeach DECIMAL(10,3) DEFAULT 0.000,
+          costeach NUMERIC(14, 4) DEFAULT 0.0000,
           PRIMARY KEY (order_id, pid)
         );
 
         CREATE INDEX idx_temp_order_items_pid ON temp_order_items(pid);
         CREATE INDEX idx_temp_order_meta_order_id ON temp_order_meta(order_id);
+        CREATE INDEX idx_temp_order_discounts_order_pid ON temp_order_discounts(order_id, pid);
+        CREATE INDEX idx_temp_order_taxes_order_pid ON temp_order_taxes(order_id, pid);
+        CREATE INDEX idx_temp_order_costs_order_pid ON temp_order_costs(order_id, pid);
+        CREATE INDEX idx_temp_main_discounts_discount_id ON temp_main_discounts(discount_id);
+        CREATE INDEX idx_temp_item_discounts_order_pid ON temp_item_discounts(order_id, pid);
+        CREATE INDEX idx_temp_item_discounts_discount_id ON temp_item_discounts(discount_id);
       `);
+      await localConnection.commit();
+    } catch (error) {
+      await localConnection.rollback();
+      throw error;
+    }
 
-    // Insert order items in batches
+    // Insert order items in batches - each batch gets its own transaction
     for (let i = 0; i < orderItems.length; i += 5000) {
+      await localConnection.beginTransaction();
+      try {
         const batch = orderItems.slice(i, Math.min(i + 5000, orderItems.length));
         const placeholders = batch.map((_, idx) => 
           `($${idx * 6 + 1}, $${idx * 6 + 2}, $${idx * 6 + 3}, $${idx * 6 + 4}, $${idx * 6 + 5}, $${idx * 6 + 6})`
@@ -172,15 +203,17 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
         ]);
 
         await localConnection.query(`
-        INSERT INTO temp_order_items (order_id, pid, SKU, price, quantity, base_discount)
+          INSERT INTO temp_order_items (order_id, pid, sku, price, quantity, base_discount)
           VALUES ${placeholders}
           ON CONFLICT (order_id, pid) DO UPDATE SET
-          SKU = EXCLUDED.SKU,
+            sku = EXCLUDED.sku,
             price = EXCLUDED.price,
             quantity = EXCLUDED.quantity,
             base_discount = EXCLUDED.base_discount
         `, values);
 
+        await localConnection.commit();
+        
         processedCount = i + batch.length;
         outputProgress({
           status: "running",
@@ -188,10 +221,14 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
           message: `Loading order items: ${processedCount} of ${totalOrderItems}`,
           current: processedCount,
           total: totalOrderItems,
-        elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+                      elapsed: formatElapsedTime(startTime),
             remaining: estimateRemaining(startTime, processedCount, totalOrderItems),
           rate: calculateRate(startTime, processedCount)
         });
+      } catch (error) {
+        await localConnection.rollback();
+        throw error;
+      }
     }
 
     // Get unique order IDs
@@ -218,42 +255,46 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
       const [orders] = await prodConnection.query(`
         SELECT 
           o.order_id,
-          o.date_placed_onlydate as date,
+          o.date_placed as date,
           o.order_cid as customer,
           CONCAT(COALESCE(u.firstname, ''), ' ', COALESCE(u.lastname, '')) as customer_name,
           o.order_status as status,
           CASE WHEN o.date_cancelled != '0000-00-00 00:00:00' THEN 1 ELSE 0 END as canceled,
           o.summary_discount,
-          o.summary_subtotal
+          o.summary_subtotal,
+          o.summary_discount_subtotal
         FROM _order o
         LEFT JOIN users u ON o.order_cid = u.cid
         WHERE o.order_id IN (?)
       `, [batchIds]);
 
       // Process in sub-batches for PostgreSQL
+      await localConnection.beginTransaction();
+      try {
         for (let j = 0; j < orders.length; j += PG_BATCH_SIZE) {
           const subBatch = orders.slice(j, j + PG_BATCH_SIZE);
           if (subBatch.length === 0) continue;
 
           const placeholders = subBatch.map((_, idx) => 
-          `($${idx * 8 + 1}, $${idx * 8 + 2}, $${idx * 8 + 3}, $${idx * 8 + 4}, $${idx * 8 + 5}, $${idx * 8 + 6}, $${idx * 8 + 7}, $${idx * 8 + 8})`
+            `($${idx * 9 + 1}, $${idx * 9 + 2}, $${idx * 9 + 3}, $${idx * 9 + 4}, $${idx * 9 + 5}, $${idx * 9 + 6}, $${idx * 9 + 7}, $${idx * 9 + 8}, $${idx * 9 + 9})`
           ).join(",");
           
           const values = subBatch.flatMap(order => [
             order.order_id,
-          order.date,
+            new Date(order.date), // Convert to TIMESTAMP WITH TIME ZONE
             order.customer,
             toTitleCase(order.customer_name) || '',
-          order.status,
+            order.status.toString(), // Convert status to TEXT
             order.canceled,
             order.summary_discount || 0,
-          order.summary_subtotal || 0
+            order.summary_subtotal || 0,
+            order.summary_discount_subtotal || 0
           ]);
 
           await localConnection.query(`
             INSERT INTO temp_order_meta (
               order_id, date, customer, customer_name, status, canceled,
-            summary_discount, summary_subtotal
+              summary_discount, summary_subtotal, summary_discount_subtotal
             )
             VALUES ${placeholders}
             ON CONFLICT (order_id) DO UPDATE SET
@@ -263,23 +304,30 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
               status = EXCLUDED.status,
               canceled = EXCLUDED.canceled,
               summary_discount = EXCLUDED.summary_discount,
-            summary_subtotal = EXCLUDED.summary_subtotal
+              summary_subtotal = EXCLUDED.summary_subtotal,
+              summary_discount_subtotal = EXCLUDED.summary_discount_subtotal
           `, values);
         }
+        await localConnection.commit();
+      } catch (error) {
+        await localConnection.rollback();
+        throw error;
+      }
     };
 
     const processDiscountsBatch = async (batchIds) => {
-      const [discounts] = await prodConnection.query(`
-        SELECT order_id, pid, SUM(amount) as discount
-        FROM order_discount_items
+      // First, load main discount records
+      const [mainDiscounts] = await prodConnection.query(`
+        SELECT order_id, discount_id, discount_amount_subtotal
+        FROM order_discounts
         WHERE order_id IN (?)
-        GROUP BY order_id, pid
       `, [batchIds]);
 
-      if (discounts.length === 0) return;
-
-      for (let j = 0; j < discounts.length; j += PG_BATCH_SIZE) {
-        const subBatch = discounts.slice(j, j + PG_BATCH_SIZE);
+      if (mainDiscounts.length > 0) {
+        await localConnection.beginTransaction();
+        try {
+          for (let j = 0; j < mainDiscounts.length; j += PG_BATCH_SIZE) {
+            const subBatch = mainDiscounts.slice(j, j + PG_BATCH_SIZE);
             if (subBatch.length === 0) continue;
 
             const placeholders = subBatch.map((_, idx) => 
@@ -288,17 +336,82 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
             
             const values = subBatch.flatMap(d => [
               d.order_id,
-          d.pid,
-          d.discount || 0
+              d.discount_id,
+              d.discount_amount_subtotal || 0
             ]);
 
             await localConnection.query(`
-          INSERT INTO temp_order_discounts (order_id, pid, discount)
+              INSERT INTO temp_main_discounts (order_id, discount_id, discount_amount_subtotal)
               VALUES ${placeholders}
-          ON CONFLICT (order_id, pid) DO UPDATE SET
-            discount = EXCLUDED.discount
+              ON CONFLICT (order_id, discount_id) DO UPDATE SET
+                discount_amount_subtotal = EXCLUDED.discount_amount_subtotal
             `, values);
           }
+          await localConnection.commit();
+        } catch (error) {
+          await localConnection.rollback();
+          throw error;
+        }
+      }
+
+      // Then, load item discount records
+      const [discounts] = await prodConnection.query(`
+        SELECT order_id, pid, discount_id, amount
+        FROM order_discount_items
+        WHERE order_id IN (?)
+      `, [batchIds]);
+
+      if (discounts.length === 0) return;
+
+      // Process in memory to handle potential duplicates
+      const discountMap = new Map();
+      for (const d of discounts) {
+        const key = `${d.order_id}-${d.pid}-${d.discount_id}`;
+        discountMap.set(key, d);
+      }
+
+      const uniqueDiscounts = Array.from(discountMap.values());
+
+      await localConnection.beginTransaction();
+      try {
+        for (let j = 0; j < uniqueDiscounts.length; j += PG_BATCH_SIZE) {
+          const subBatch = uniqueDiscounts.slice(j, j + PG_BATCH_SIZE);
+          if (subBatch.length === 0) continue;
+
+          const placeholders = subBatch.map((_, idx) => 
+            `($${idx * 4 + 1}, $${idx * 4 + 2}, $${idx * 4 + 3}, $${idx * 4 + 4})`
+          ).join(",");
+          
+          const values = subBatch.flatMap(d => [
+            d.order_id,
+            d.pid,
+            d.discount_id,
+            d.amount || 0
+          ]);
+
+          await localConnection.query(`
+            INSERT INTO temp_item_discounts (order_id, pid, discount_id, amount)
+            VALUES ${placeholders}
+            ON CONFLICT (order_id, pid, discount_id) DO UPDATE SET
+              amount = EXCLUDED.amount
+          `, values);
+        }
+
+        // Create aggregated view with a simpler, safer query that avoids duplicates
+        await localConnection.query(`
+          TRUNCATE temp_order_discounts;
+          
+          INSERT INTO temp_order_discounts (order_id, pid, discount)
+          SELECT order_id, pid, SUM(amount) as discount
+          FROM temp_item_discounts
+          GROUP BY order_id, pid
+        `);
+
+        await localConnection.commit();
+      } catch (error) {
+        await localConnection.rollback();
+        throw error;
+      }
     };
 
     const processTaxesBatch = async (batchIds) => {
@@ -318,6 +431,8 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
 
       if (taxes.length === 0) return;
 
+      await localConnection.beginTransaction();
+      try {
         for (let j = 0; j < taxes.length; j += PG_BATCH_SIZE) {
           const subBatch = taxes.slice(j, j + PG_BATCH_SIZE);
           if (subBatch.length === 0) continue;
@@ -339,6 +454,11 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
               tax = EXCLUDED.tax
           `, values);
         }
+        await localConnection.commit();
+      } catch (error) {
+        await localConnection.rollback();
+        throw error;
+      }
     };
 
     const processCostsBatch = async (batchIds) => {
@@ -363,6 +483,8 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
 
       if (costs.length === 0) return;
 
+      await localConnection.beginTransaction();
+      try {
         for (let j = 0; j < costs.length; j += PG_BATCH_SIZE) {
           const subBatch = costs.slice(j, j + PG_BATCH_SIZE);
           if (subBatch.length === 0) continue;
@@ -384,18 +506,22 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
               costeach = EXCLUDED.costeach
           `, values);
         }
+        await localConnection.commit();
+      } catch (error) {
+        await localConnection.rollback();
+        throw error;
+      }
     };
 
-    // Process all data types in parallel for each batch
+    // Process all data types SEQUENTIALLY for each batch - not in parallel
     for (let i = 0; i < orderIds.length; i += METADATA_BATCH_SIZE) {
       const batchIds = orderIds.slice(i, i + METADATA_BATCH_SIZE);
       
-      await Promise.all([
-        processMetadataBatch(batchIds),
-        processDiscountsBatch(batchIds),
-        processTaxesBatch(batchIds),
-        processCostsBatch(batchIds)
-      ]);
+      // Run these sequentially instead of in parallel to avoid transaction conflicts
+      await processMetadataBatch(batchIds);
+      await processDiscountsBatch(batchIds);
+      await processTaxesBatch(batchIds);
+      await processCostsBatch(batchIds);
 
       processedCount = i + batchIds.length;
       outputProgress({
@@ -404,7 +530,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
         message: `Loading order data: ${processedCount} of ${totalUniqueOrders}`,
         current: processedCount,
         total: totalUniqueOrders,
-        elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+                        elapsed: formatElapsedTime(startTime),
                 remaining: estimateRemaining(startTime, processedCount, totalUniqueOrders),
         rate: calculateRate(startTime, processedCount)
       });
@@ -422,59 +548,70 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
     const existingPids = new Set(existingProducts.rows.map(p => p.pid));
     
     // Process in smaller batches
-    for (let i = 0; i < orderIds.length; i += 1000) {
-      const batchIds = orderIds.slice(i, i + 1000);
+    for (let i = 0; i < orderIds.length; i += 2000) {  // Increased from 1000 to 2000
+      const batchIds = orderIds.slice(i, i + 2000);
 
       // Get combined data for this batch in sub-batches
-      const PG_BATCH_SIZE = 100; // Process 100 records at a time
+      const PG_BATCH_SIZE = 200; // Increased from 100 to 200
       for (let j = 0; j < batchIds.length; j += PG_BATCH_SIZE) {
         const subBatchIds = batchIds.slice(j, j + PG_BATCH_SIZE);
         
+        // Start a transaction for this sub-batch
+        await localConnection.beginTransaction();
+        try {
           const [orders] = await localConnection.query(`
             WITH order_totals AS (
               SELECT 
                 oi.order_id,
                 oi.pid,
-              SUM(COALESCE(od.discount, 0)) as promo_discount,
+                -- Instead of using ARRAY_AGG which can cause duplicate issues, use SUM with a CASE
+                SUM(CASE 
+                  WHEN COALESCE(md.discount_amount_subtotal, 0) > 0 THEN id.amount 
+                  ELSE 0 
+                END) as promo_discount_sum,
                 COALESCE(ot.tax, 0) as total_tax,
                 COALESCE(oc.costeach, oi.price * 0.5) as costeach
               FROM temp_order_items oi
-            LEFT JOIN temp_order_discounts od ON oi.order_id = od.order_id AND oi.pid = od.pid
+              LEFT JOIN temp_item_discounts id ON oi.order_id = id.order_id AND oi.pid = id.pid
+              LEFT JOIN temp_main_discounts md ON id.order_id = md.order_id AND id.discount_id = md.discount_id
               LEFT JOIN temp_order_taxes ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
               LEFT JOIN temp_order_costs oc ON oi.order_id = oc.order_id AND oi.pid = oc.pid
+              WHERE oi.order_id = ANY($1)
               GROUP BY oi.order_id, oi.pid, ot.tax, oc.costeach
             )
             SELECT 
               oi.order_id as order_number,
               oi.pid::bigint as pid,
-            oi.SKU as sku,
+              oi.sku,
               om.date,
               oi.price,
               oi.quantity,
-            (oi.base_discount + 
-             COALESCE(ot.promo_discount, 0) + 
+              (
+                -- Part 1: Sale Savings for the Line
+                (oi.base_discount * oi.quantity)
+                +
+                -- Part 2: Prorated Points Discount (if applicable)
                 CASE
-              WHEN om.summary_discount > 0 AND om.summary_subtotal > 0 THEN 
-                ROUND((om.summary_discount * (oi.price * oi.quantity)) / NULLIF(om.summary_subtotal, 0), 2)
+                  WHEN om.summary_discount_subtotal > 0 AND om.summary_subtotal > 0 THEN
+                    COALESCE(ROUND((om.summary_discount_subtotal * (oi.price * oi.quantity)) / NULLIF(om.summary_subtotal, 0), 4), 0)
                   ELSE 0
-             END)::DECIMAL(10,2) as discount,
-            COALESCE(ot.total_tax, 0)::DECIMAL(10,2) as tax,
+                END
+                +
+                -- Part 3: Specific Item-Level Discount (only if parent discount affected subtotal)
+                COALESCE(ot.promo_discount_sum, 0)
+              )::NUMERIC(14, 4) as discount,
+              COALESCE(ot.total_tax, 0)::NUMERIC(14, 4) as tax,
               false as tax_included,
               0 as shipping,
               om.customer,
               om.customer_name,
               om.status,
               om.canceled,
-            COALESCE(ot.costeach, oi.price * 0.5)::DECIMAL(10,3) as costeach
-          FROM (
-            SELECT DISTINCT ON (order_id, pid)
-              order_id, pid, SKU, price, quantity, base_discount
-            FROM temp_order_items
-            WHERE order_id = ANY($1)
-            ORDER BY order_id, pid
-          ) oi
+              COALESCE(ot.costeach, oi.price * 0.5)::NUMERIC(14, 4) as costeach
+            FROM temp_order_items oi
             JOIN temp_order_meta om ON oi.order_id = om.order_id
             LEFT JOIN order_totals ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
+            WHERE oi.order_id = ANY($1)
             ORDER BY oi.order_id, oi.pid
           `, [subBatchIds]);
 
@@ -495,7 +632,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
           }
 
           // Process valid orders in smaller sub-batches
-        const FINAL_BATCH_SIZE = 50;
+          const FINAL_BATCH_SIZE = 100;  // Increased from 50 to 100
           for (let k = 0; k < validOrders.length; k += FINAL_BATCH_SIZE) {
             const subBatch = validOrders.slice(k, k + FINAL_BATCH_SIZE);
             
@@ -508,7 +645,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
               o.order_number,
               o.pid,
               o.sku || 'NO-SKU',
-            o.date,
+              o.date,  // This is now a TIMESTAMP WITH TIME ZONE
               o.price,
               o.quantity,
               o.discount,
@@ -517,7 +654,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
               o.shipping,
               o.customer,
               o.customer_name,
-            o.status,
+              o.status.toString(), // Convert status to TEXT
               o.canceled,
               o.costeach
             ]);
@@ -544,6 +681,15 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
                   status = EXCLUDED.status,
                   canceled = EXCLUDED.canceled,
                   costeach = EXCLUDED.costeach
+                WHERE -- Only update if at least one key field has changed
+                  orders.price IS DISTINCT FROM EXCLUDED.price OR
+                  orders.quantity IS DISTINCT FROM EXCLUDED.quantity OR
+                  orders.discount IS DISTINCT FROM EXCLUDED.discount OR
+                  orders.tax IS DISTINCT FROM EXCLUDED.tax OR
+                  orders.status IS DISTINCT FROM EXCLUDED.status OR
+                  orders.canceled IS DISTINCT FROM EXCLUDED.canceled OR
+                  orders.costeach IS DISTINCT FROM EXCLUDED.costeach OR
+                  orders.date IS DISTINCT FROM EXCLUDED.date
                 RETURNING xmax = 0 as inserted
               )
               SELECT 
@@ -558,6 +704,8 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
             importedCount += subBatch.length;
           }
 
+          await localConnection.commit();
+          
           cumulativeProcessedOrders += processedOrders.size;
           outputProgress({
             status: "running",
@@ -565,13 +713,20 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
             message: `Importing orders: ${cumulativeProcessedOrders} of ${totalUniqueOrders}`,
             current: cumulativeProcessedOrders,
             total: totalUniqueOrders,
-          elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+            elapsed: formatElapsedTime(startTime),
             remaining: estimateRemaining(startTime, cumulativeProcessedOrders, totalUniqueOrders),
             rate: calculateRate(startTime, cumulativeProcessedOrders)
           });
+        } catch (error) {
+          await localConnection.rollback();
+          throw error;
+        }
       }
     }
 
+    // Start a transaction for updating sync status and dropping temp tables
+    await localConnection.beginTransaction();
+    try {
       // Update sync status
       await localConnection.query(`
         INSERT INTO sync_status (table_name, last_sync_timestamp)
@@ -587,10 +742,16 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
         DROP TABLE IF EXISTS temp_order_discounts;
         DROP TABLE IF EXISTS temp_order_taxes;
         DROP TABLE IF EXISTS temp_order_costs;
+        DROP TABLE IF EXISTS temp_main_discounts;
+        DROP TABLE IF EXISTS temp_item_discounts;
       `);
       
-    // Commit transaction
+      // Commit final transaction
       await localConnection.commit();
+    } catch (error) {
+      await localConnection.rollback();
+      throw error; 
+    }
 
     return {
       status: "complete",
@@ -599,19 +760,18 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
       recordsUpdated: parseInt(recordsUpdated) || 0,
       totalSkipped: skippedOrders.size || 0,
       missingProducts: missingProducts.size || 0,
+      totalProcessed: orderItems.length,  // Total order items in source
       incrementalUpdate,
-      lastSyncTime
+      lastSyncTime,
+      details: {
+        uniqueOrdersProcessed: cumulativeProcessedOrders,
+        totalOrderItems: orderItems.length,
+        skippedDueToMissingProducts: skippedOrders.size,
+        missingProductIds: Array.from(missingProducts).slice(0, 100) // First 100 for debugging
+      }
     };
   } catch (error) {
     console.error("Error during orders import:", error);
-    
-    // Rollback transaction
-    try {
-      await localConnection.rollback();
-    } catch (rollbackError) {
-      console.error("Error during rollback:", rollbackError);
-    }
-    
     throw error;
   }
 }

inventory-server/scripts/import/products.js

@@ -1,4 +1,4 @@
-const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics-new/utils/progress');
 const BATCH_SIZE = 1000; // Smaller batch size for better progress tracking
 const MAX_RETRIES = 3;
 const RETRY_DELAY = 5000; // 5 seconds
@@ -57,50 +57,51 @@ async function setupTemporaryTables(connection) {
   await connection.query(`
     CREATE TEMP TABLE temp_products (
       pid BIGINT NOT NULL,
-      title VARCHAR(255),
+      title TEXT,
       description TEXT,
-      sku VARCHAR(50),
+      sku TEXT,
       stock_quantity INTEGER DEFAULT 0,
       preorder_count INTEGER DEFAULT 0,
       notions_inv_count INTEGER DEFAULT 0,
-      price DECIMAL(10,3) NOT NULL DEFAULT 0,
-      regular_price DECIMAL(10,3) NOT NULL DEFAULT 0,
-      cost_price DECIMAL(10,3),
-      vendor VARCHAR(100),
-      vendor_reference VARCHAR(100),
-      notions_reference VARCHAR(100),
-      brand VARCHAR(100),
-      line VARCHAR(100),
-      subline VARCHAR(100),
-      artist VARCHAR(100),
+      price NUMERIC(14, 4) NOT NULL DEFAULT 0,
+      regular_price NUMERIC(14, 4) NOT NULL DEFAULT 0,
+      cost_price NUMERIC(14, 4),
+      vendor TEXT,
+      vendor_reference TEXT,
+      notions_reference TEXT,
+      brand TEXT,
+      line TEXT,
+      subline TEXT,
+      artist TEXT,
       categories TEXT,
-      created_at TIMESTAMP,
-      first_received TIMESTAMP,
-      landing_cost_price DECIMAL(10,3),
-      barcode VARCHAR(50),
-      harmonized_tariff_code VARCHAR(50),
-      updated_at TIMESTAMP,
+      created_at TIMESTAMP WITH TIME ZONE,
+      first_received TIMESTAMP WITH TIME ZONE,
+      landing_cost_price NUMERIC(14, 4),
+      barcode TEXT,
+      harmonized_tariff_code TEXT,
+      updated_at TIMESTAMP WITH TIME ZONE,
       visible BOOLEAN,
       managing_stock BOOLEAN DEFAULT true,
       replenishable BOOLEAN,
-      permalink VARCHAR(255),
+      permalink TEXT,
       moq INTEGER DEFAULT 1,
       uom INTEGER DEFAULT 1,
-      rating DECIMAL(10,2),
+      rating NUMERIC(14, 4),
       reviews INTEGER,
-      weight DECIMAL(10,3),
-      length DECIMAL(10,3),
-      width DECIMAL(10,3),
-      height DECIMAL(10,3),
-      country_of_origin VARCHAR(100),
-      location VARCHAR(100),
+      weight NUMERIC(14, 4),
+      length NUMERIC(14, 4),
+      width NUMERIC(14, 4),
+      height NUMERIC(14, 4),
+      country_of_origin TEXT,
+      location TEXT,
       total_sold INTEGER,
       baskets INTEGER,
       notifies INTEGER,
-      date_last_sold TIMESTAMP,
-      image VARCHAR(255),
-      image_175 VARCHAR(255),
-      image_full VARCHAR(255),
+      date_last_sold TIMESTAMP WITH TIME ZONE,
+      primary_iid INTEGER,
+      image TEXT,
+      image_175 TEXT,
+      image_full TEXT,
       options TEXT,
       tags TEXT,
       needs_update BOOLEAN DEFAULT TRUE,
@@ -193,8 +194,12 @@ async function importMissingProducts(prodConnection, localConnection, missingPid
         p.country_of_origin,
         (SELECT COUNT(*) FROM mybasket mb WHERE mb.item = p.pid AND mb.qty > 0) AS baskets,
         (SELECT COUNT(*) FROM product_notify pn WHERE pn.pid = p.pid) AS notifies,
-        (SELECT COALESCE(SUM(oi.qty_ordered), 0) FROM order_items oi WHERE oi.prod_pid = p.pid) AS total_sold,
+        (SELECT COALESCE(SUM(oi.qty_ordered), 0) 
+         FROM order_items oi 
+         JOIN _order o ON oi.order_id = o.order_id 
+         WHERE oi.prod_pid = p.pid AND o.order_status >= 20) AS total_sold,
         pls.date_sold as date_last_sold,
+        (SELECT iid FROM product_images WHERE pid = p.pid AND \`order\` = 255 LIMIT 1) AS primary_iid,
         GROUP_CONCAT(DISTINCT CASE 
           WHEN pc.cat_id IS NOT NULL 
           AND pc.type IN (10, 20, 11, 21, 12, 13)
@@ -233,12 +238,12 @@ async function importMissingProducts(prodConnection, localConnection, missingPid
       const batch = prodData.slice(i, i + BATCH_SIZE);
       
       const placeholders = batch.map((_, idx) => {
-        const base = idx * 47; // 47 columns
-        return `(${Array.from({ length: 47 }, (_, i) => `$${base + i + 1}`).join(', ')})`;
+        const base = idx * 48; // 48 columns
+        return `(${Array.from({ length: 48 }, (_, i) => `$${base + i + 1}`).join(', ')})`;
       }).join(',');
 
       const values = batch.flatMap(row => {
-        const imageUrls = getImageUrls(row.pid);
+        const imageUrls = getImageUrls(row.pid, row.primary_iid || 1);
         return [
           row.pid,
           row.title,
@@ -282,6 +287,7 @@ async function importMissingProducts(prodConnection, localConnection, missingPid
           row.baskets,
           row.notifies,
           validateDate(row.date_last_sold),
+          row.primary_iid,
           imageUrls.image,
           imageUrls.image_175,
           imageUrls.image_full,
@@ -299,7 +305,7 @@ async function importMissingProducts(prodConnection, localConnection, missingPid
             landing_cost_price, barcode, harmonized_tariff_code, updated_at, visible,
             managing_stock, replenishable, permalink, moq, uom, rating, reviews,
             weight, length, width, height, country_of_origin, location, total_sold,
-            baskets, notifies, date_last_sold, image, image_175, image_full, options, tags
+            baskets, notifies, date_last_sold, primary_iid, image, image_175, image_full, options, tags
           )
           VALUES ${placeholders}
           ON CONFLICT (pid) DO NOTHING
@@ -394,8 +400,12 @@ async function materializeCalculations(prodConnection, localConnection, incremen
       p.country_of_origin,
       (SELECT COUNT(*) FROM mybasket mb WHERE mb.item = p.pid AND mb.qty > 0) AS baskets,
       (SELECT COUNT(*) FROM product_notify pn WHERE pn.pid = p.pid) AS notifies,
-      (SELECT COALESCE(SUM(oi.qty_ordered), 0) FROM order_items oi WHERE oi.prod_pid = p.pid) AS total_sold,
+      (SELECT COALESCE(SUM(oi.qty_ordered), 0) 
+       FROM order_items oi 
+       JOIN _order o ON oi.order_id = o.order_id 
+       WHERE oi.prod_pid = p.pid AND o.order_status >= 20) AS total_sold,
       pls.date_sold as date_last_sold,
+      (SELECT iid FROM product_images WHERE pid = p.pid AND \`order\` = 255 LIMIT 1) AS primary_iid,
       GROUP_CONCAT(DISTINCT CASE 
         WHEN pc.cat_id IS NOT NULL 
         AND pc.type IN (10, 20, 11, 21, 12, 13)
@@ -422,9 +432,11 @@ async function materializeCalculations(prodConnection, localConnection, incremen
       pcp.date_deactive > ? OR
       pcp.date_active > ? OR
       pnb.date_updated > ?
+      -- Add condition for product_images changes if needed for incremental updates
+      -- OR EXISTS (SELECT 1 FROM product_images pi WHERE pi.pid = p.pid AND pi.stamp > ?)
     ` : 'TRUE'}
     GROUP BY p.pid
-  `, incrementalUpdate ? [lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime] : []);
+  `, incrementalUpdate ? [lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime /*, lastSyncTime */] : []);
 
   outputProgress({
     status: "running",
@@ -438,12 +450,12 @@ async function materializeCalculations(prodConnection, localConnection, incremen
     
     await withRetry(async () => {
       const placeholders = batch.map((_, idx) => {
-        const base = idx * 47; // 47 columns
-        return `(${Array.from({ length: 47 }, (_, i) => `$${base + i + 1}`).join(', ')})`;
+        const base = idx * 48; // 48 columns
+        return `(${Array.from({ length: 48 }, (_, i) => `$${base + i + 1}`).join(', ')})`;
       }).join(',');
 
       const values = batch.flatMap(row => {
-        const imageUrls = getImageUrls(row.pid);
+        const imageUrls = getImageUrls(row.pid, row.primary_iid || 1);
         return [
           row.pid,
           row.title,
@@ -487,6 +499,7 @@ async function materializeCalculations(prodConnection, localConnection, incremen
           row.baskets,
           row.notifies,
           validateDate(row.date_last_sold),
+          row.primary_iid,
           imageUrls.image,
           imageUrls.image_175,
           imageUrls.image_full,
@@ -503,7 +516,7 @@ async function materializeCalculations(prodConnection, localConnection, incremen
           landing_cost_price, barcode, harmonized_tariff_code, updated_at, visible,
           managing_stock, replenishable, permalink, moq, uom, rating, reviews,
           weight, length, width, height, country_of_origin, location, total_sold,
-          baskets, notifies, date_last_sold, image, image_175, image_full, options, tags
+          baskets, notifies, date_last_sold, primary_iid, image, image_175, image_full, options, tags
         ) VALUES ${placeholders}
         ON CONFLICT (pid) DO UPDATE SET
           title = EXCLUDED.title,
@@ -546,6 +559,7 @@ async function materializeCalculations(prodConnection, localConnection, incremen
           baskets = EXCLUDED.baskets,
           notifies = EXCLUDED.notifies,
           date_last_sold = EXCLUDED.date_last_sold,
+          primary_iid = EXCLUDED.primary_iid,
           image = EXCLUDED.image,
           image_175 = EXCLUDED.image_175,
           image_full = EXCLUDED.image_full,
@@ -562,7 +576,7 @@ async function materializeCalculations(prodConnection, localConnection, incremen
       message: `Imported ${i + batch.length} of ${prodData.length} products`,
       current: i + batch.length,
       total: prodData.length,
-      elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+              elapsed: formatElapsedTime(startTime),
         remaining: estimateRemaining(startTime, i + batch.length, prodData.length),
       rate: calculateRate(startTime, i + batch.length)
     });
@@ -573,6 +587,59 @@ async function materializeCalculations(prodConnection, localConnection, incremen
     operation: "Products import",
     message: "Finished materializing calculations"
   });
+  
+  // Add step to identify which products actually need updating
+  outputProgress({
+    status: "running",
+    operation: "Products import",
+    message: "Identifying changed products"
+  });
+  
+  // Mark products that haven't changed as needs_update = false
+  await localConnection.query(`
+    UPDATE temp_products t
+    SET needs_update = FALSE
+    FROM products p
+    WHERE t.pid = p.pid
+      AND t.title IS NOT DISTINCT FROM p.title
+      AND t.description IS NOT DISTINCT FROM p.description
+      AND t.sku IS NOT DISTINCT FROM p.sku
+      AND t.stock_quantity = p.stock_quantity
+      AND t.price = p.price
+      AND t.regular_price = p.regular_price
+      AND t.cost_price IS NOT DISTINCT FROM p.cost_price
+      AND t.vendor IS NOT DISTINCT FROM p.vendor
+      AND t.brand IS NOT DISTINCT FROM p.brand
+      AND t.visible = p.visible
+      AND t.replenishable = p.replenishable
+      AND t.barcode IS NOT DISTINCT FROM p.barcode
+      AND t.updated_at IS NOT DISTINCT FROM p.updated_at
+      AND t.total_sold IS NOT DISTINCT FROM p.total_sold
+      -- Check key fields that are likely to change
+      -- We don't need to check every single field, just the important ones
+  `);
+  
+  // Get count of products that need updating
+  const [countResult] = await localConnection.query(`
+    SELECT 
+      COUNT(*) FILTER (WHERE needs_update = true) as update_count,
+      COUNT(*) FILTER (WHERE needs_update = false) as skip_count,
+      COUNT(*) as total_count
+    FROM temp_products
+  `);
+  
+  outputProgress({
+    status: "running",
+    operation: "Products import",
+    message: `Found ${countResult.rows[0].update_count} products that need updating, ${countResult.rows[0].skip_count} unchanged`
+  });
+  
+  // Return the total products processed
+  return {
+    totalProcessed: prodData.length,
+    needsUpdate: parseInt(countResult.rows[0].update_count),
+    skipped: parseInt(countResult.rows[0].skip_count)
+  };
 }
 
 async function importProducts(prodConnection, localConnection, incrementalUpdate = true) {
@@ -598,7 +665,7 @@ async function importProducts(prodConnection, localConnection, incrementalUpdate
       await setupTemporaryTables(localConnection);
 
       // Materialize calculations into temp table
-      await materializeCalculations(prodConnection, localConnection, incrementalUpdate, lastSyncTime, startTime);
+      const materializeResult = await materializeCalculations(prodConnection, localConnection, incrementalUpdate, lastSyncTime, startTime);
 
       // Get the list of products that need updating
       const [products] = await localConnection.query(`
@@ -644,6 +711,7 @@ async function importProducts(prodConnection, localConnection, incrementalUpdate
           t.baskets,
           t.notifies,
           t.date_last_sold,
+          t.primary_iid,
           t.image,
           t.image_175,
           t.image_full,
@@ -666,7 +734,7 @@ async function importProducts(prodConnection, localConnection, incrementalUpdate
         }).join(',');
 
         const values = batch.flatMap(row => {
-          const imageUrls = getImageUrls(row.pid);
+          const imageUrls = getImageUrls(row.pid, row.primary_iid || 1);
           return [
             row.pid,
             row.title,
@@ -832,7 +900,7 @@ async function importProducts(prodConnection, localConnection, incrementalUpdate
           message: `Processing products: ${i + batch.length} of ${products.rows.length}`,
           current: i + batch.length,
           total: products.rows.length,
-          elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+                  elapsed: formatElapsedTime(startTime),
         remaining: estimateRemaining(startTime, i + batch.length, products.rows.length),
           rate: calculateRate(startTime, i + batch.length)
         });
@@ -857,7 +925,10 @@ async function importProducts(prodConnection, localConnection, incrementalUpdate
         recordsAdded,
         recordsUpdated,
         totalRecords: products.rows.length,
-        duration: formatElapsedTime(Date.now() - startTime)
+        totalProcessed: materializeResult.totalProcessed,
+        duration: formatElapsedTime(startTime),
+        needsUpdate: materializeResult.needsUpdate,
+        skippedUnchanged: materializeResult.skipped
       };
     } catch (error) {
       // Rollback on error

inventory-server/scripts/import/purchase-orders.js

@@ -1,4 +1,4 @@
-const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics-new/utils/progress');
 
 /**
  * Validates a date from MySQL before inserting it into PostgreSQL
@@ -35,7 +35,7 @@ function validateDate(mysqlDate) {
 
 /**
  * Imports purchase orders and receivings from a production MySQL database to a local PostgreSQL database.
- * Implements FIFO allocation of receivings to purchase orders.
+ * Handles these as separate data streams without complex FIFO allocation.
  * 
  * @param {object} prodConnection - A MySQL connection to production DB
  * @param {object} localConnection - A PostgreSQL connection to local DB
@@ -44,8 +44,12 @@ function validateDate(mysqlDate) {
  */
 async function importPurchaseOrders(prodConnection, localConnection, incrementalUpdate = true) {
   const startTime = Date.now();
-  let recordsAdded = 0;
-  let recordsUpdated = 0;
+  let poRecordsAdded = 0;
+  let poRecordsUpdated = 0;
+  let poRecordsDeleted = 0;
+  let receivingRecordsAdded = 0;
+  let receivingRecordsUpdated = 0;
+  let receivingRecordsDeleted = 0;
   let totalProcessed = 0;
   
   // Batch size constants
@@ -68,24 +72,23 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
     await localConnection.query(`
       DROP TABLE IF EXISTS temp_purchase_orders;
       DROP TABLE IF EXISTS temp_receivings;
-      DROP TABLE IF EXISTS temp_receiving_allocations;
       DROP TABLE IF EXISTS employee_names;
+      DROP TABLE IF EXISTS temp_supplier_names;
       
       -- Temporary table for purchase orders
       CREATE TEMP TABLE temp_purchase_orders (
-        po_id VARCHAR(50) NOT NULL,
+        po_id TEXT NOT NULL,
         pid BIGINT NOT NULL,
-        sku VARCHAR(50),
-        name VARCHAR(255),
-        vendor VARCHAR(255),
+        sku TEXT,
+        name TEXT,
+        vendor TEXT,
         date TIMESTAMP WITH TIME ZONE,
         expected_date DATE,
-        status INTEGER,
-        status_text VARCHAR(50),
+        status TEXT,
         notes TEXT,
         long_note TEXT,
         ordered INTEGER,
-        po_cost_price DECIMAL(10,3),
+        po_cost_price NUMERIC(14, 4),
         supplier_id INTEGER,
         date_created TIMESTAMP WITH TIME ZONE,
         date_ordered TIMESTAMP WITH TIME ZONE,
@@ -94,63 +97,54 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
       
       -- Temporary table for receivings
       CREATE TEMP TABLE temp_receivings (
-        receiving_id VARCHAR(50) NOT NULL,
-        po_id VARCHAR(50),
+        receiving_id TEXT NOT NULL,
         pid BIGINT NOT NULL,
+        sku TEXT,
+        name TEXT,
+        vendor TEXT,
         qty_each INTEGER,
-        cost_each DECIMAL(10,5),
+        qty_each_orig INTEGER,
+        cost_each NUMERIC(14, 5),
+        cost_each_orig NUMERIC(14, 5),
         received_by INTEGER,
+        received_by_name TEXT,
         received_date TIMESTAMP WITH TIME ZONE,
         receiving_created_date TIMESTAMP WITH TIME ZONE,
         supplier_id INTEGER,
-        status INTEGER,
-        status_text VARCHAR(50),
+        status TEXT,
         PRIMARY KEY (receiving_id, pid)
       );
       
-      -- Temporary table for tracking FIFO allocations
-      CREATE TEMP TABLE temp_receiving_allocations (
-        po_id VARCHAR(50) NOT NULL,
-        pid BIGINT NOT NULL,
-        receiving_id VARCHAR(50) NOT NULL,
-        allocated_qty INTEGER NOT NULL,
-        cost_each DECIMAL(10,5) NOT NULL,
-        received_date TIMESTAMP WITH TIME ZONE NOT NULL,
-        received_by INTEGER,
-        PRIMARY KEY (po_id, pid, receiving_id)
-      );
-      
       -- Temporary table for employee names
       CREATE TEMP TABLE employee_names (
         employeeid INTEGER PRIMARY KEY,
-        firstname VARCHAR(100),
-        lastname VARCHAR(100)
+        firstname TEXT,
+        lastname TEXT
       );
       
       -- Create indexes for efficient joins
       CREATE INDEX idx_temp_po_pid ON temp_purchase_orders(pid);
       CREATE INDEX idx_temp_receiving_pid ON temp_receivings(pid);
-      CREATE INDEX idx_temp_receiving_po_id ON temp_receivings(po_id);
     `);
 
     // Map status codes to text values
     const poStatusMap = {
-      0: 'Canceled',
-      1: 'Created',
-      10: 'Ready ESend',
-      11: 'Ordered',
-      12: 'Preordered',
-      13: 'Electronically Sent',
-      15: 'Receiving Started',
-      50: 'Done'
+      0: 'canceled',
+      1: 'created',
+      10: 'electronically_ready_send',
+      11: 'ordered',
+      12: 'preordered',
+      13: 'electronically_sent',
+      15: 'receiving_started',
+      50: 'done'
     };
     
     const receivingStatusMap = {
-      0: 'Canceled',
-      1: 'Created',
-      30: 'Partial Received',
-      40: 'Full Received',
-      50: 'Paid'
+      0: 'canceled',
+      1: 'created',
+      30: 'partial_received',
+      40: 'full_received',
+      50: 'paid'
     };
 
     // Get time window for data retrieval
@@ -193,7 +187,56 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
       `, employeeValues);
     }
 
-    // 1. First, fetch all relevant POs
+    // Add this section before the PO import to create a supplier names mapping
+    outputProgress({
+      status: "running",
+      operation: "Purchase orders import",
+      message: "Fetching supplier data for vendor mapping"
+    });
+
+    // Fetch supplier data from production and store in a temp table
+    const [suppliers] = await prodConnection.query(`
+      SELECT 
+        supplierid,
+        companyname
+      FROM suppliers
+      WHERE companyname IS NOT NULL AND companyname != ''
+    `);
+
+    if (suppliers.length > 0) {
+      // Create temp table for supplier names
+      await localConnection.query(`
+        DROP TABLE IF EXISTS temp_supplier_names;
+        CREATE TEMP TABLE temp_supplier_names (
+          supplier_id INTEGER PRIMARY KEY,
+          company_name TEXT NOT NULL
+        );
+      `);
+
+      // Insert supplier data in batches
+      for (let i = 0; i < suppliers.length; i += INSERT_BATCH_SIZE) {
+        const batch = suppliers.slice(i, i + INSERT_BATCH_SIZE);
+        
+        const placeholders = batch.map((_, idx) => {
+          const base = idx * 2;
+          return `($${base + 1}, $${base + 2})`;
+        }).join(',');
+        
+        const values = batch.flatMap(s => [
+          s.supplierid,
+          s.companyname || 'Unnamed Supplier'
+        ]);
+        
+        await localConnection.query(`
+          INSERT INTO temp_supplier_names (supplier_id, company_name)
+          VALUES ${placeholders}
+          ON CONFLICT (supplier_id) DO UPDATE SET
+            company_name = EXCLUDED.company_name
+        `, values);
+      }
+    }
+
+    // 1. Fetch and process purchase orders
     outputProgress({
       status: "running",
       operation: "Purchase orders import",
@@ -216,6 +259,10 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
     const totalPOs = poCount[0].total;
     console.log(`Found ${totalPOs} relevant purchase orders`);
 
+    // Skip processing if no POs to process
+    if (totalPOs === 0) {
+      console.log('No purchase orders to process, skipping PO import step');
+    } else {
       // Fetch and process POs in batches
       let offset = 0;
       let allPOsProcessed = false;
@@ -281,8 +328,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
             vendor: po.vendor || 'Unknown Vendor',
             date: validateDate(po.date_ordered) || validateDate(po.date_created),
             expected_date: validateDate(po.date_estin),
-          status: po.status,
-          status_text: poStatusMap[po.status] || '',
+            status: poStatusMap[po.status] || 'created',
             notes: po.notes || '',
             long_note: po.long_note || '',
             ordered: product.qty_each,
@@ -298,8 +344,8 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           const batch = completePOs.slice(i, i + INSERT_BATCH_SIZE);
           
           const placeholders = batch.map((_, idx) => {
-          const base = idx * 16;
-          return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11}, $${base + 12}, $${base + 13}, $${base + 14}, $${base + 15}, $${base + 16})`;
+            const base = idx * 15;
+            return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11}, $${base + 12}, $${base + 13}, $${base + 14}, $${base + 15})`;
           }).join(',');
           
           const values = batch.flatMap(po => [
@@ -311,7 +357,6 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
             po.date,
             po.expected_date,
             po.status,
-          po.status_text,
             po.notes,
             po.long_note,
             po.ordered,
@@ -323,8 +368,8 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           
           await localConnection.query(`
             INSERT INTO temp_purchase_orders (
-            po_id, pid, sku, name, vendor, date, expected_date, status, status_text,
-            notes, long_note, ordered, po_cost_price, supplier_id, date_created, date_ordered
+              po_id, pid, sku, name, vendor, date, expected_date, status, notes, long_note,
+              ordered, po_cost_price, supplier_id, date_created, date_ordered
             )
             VALUES ${placeholders}
             ON CONFLICT (po_id, pid) DO UPDATE SET
@@ -334,7 +379,6 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
               date = EXCLUDED.date,
               expected_date = EXCLUDED.expected_date,
               status = EXCLUDED.status,
-            status_text = EXCLUDED.status_text,
               notes = EXCLUDED.notes,
               long_note = EXCLUDED.long_note,
               ordered = EXCLUDED.ordered,
@@ -354,7 +398,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           message: `Processed ${offset} of ${totalPOs} purchase orders (${totalProcessed} line items)`,
           current: offset,
           total: totalPOs,
-        elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+          elapsed: formatElapsedTime(startTime),
           remaining: estimateRemaining(startTime, offset, totalPOs),
           rate: calculateRate(startTime, offset)
         });
@@ -363,6 +407,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           allPOsProcessed = true;
         }
       }
+    }
     
     // 2. Next, fetch all relevant receivings
     outputProgress({
@@ -386,6 +431,10 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
     const totalReceivings = receivingCount[0].total;
     console.log(`Found ${totalReceivings} relevant receivings`);
 
+    // Skip processing if no receivings to process
+    if (totalReceivings === 0) {
+      console.log('No receivings to process, skipping receivings import step');
+    } else {
       // Fetch and process receivings in batches
       offset = 0; // Reset offset for receivings
       let allReceivingsProcessed = false;
@@ -394,10 +443,16 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
         const [receivingList] = await prodConnection.query(`
           SELECT 
             r.receiving_id,
-          r.po_id,
             r.supplier_id,
             r.status,
-          r.date_created
+            r.notes,
+            r.shipping,
+            r.total_amount,
+            r.hold,
+            r.for_storefront,
+            r.date_created,
+            r.date_paid,
+            r.date_checked
           FROM receivings r
           WHERE r.date_created >= DATE_SUB(CURRENT_DATE, INTERVAL ${yearInterval} YEAR)
             ${incrementalUpdate ? `
@@ -423,12 +478,17 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
             rp.receiving_id,
             rp.pid,
             rp.qty_each,
+            rp.qty_each_orig,
             rp.cost_each,
+            rp.cost_each_orig,
             rp.received_by,
             rp.received_date,
-          r.date_created as receiving_created_date
+            r.date_created as receiving_created_date,
+            COALESCE(p.itemnumber, 'NO-SKU') AS sku,
+            COALESCE(p.description, 'Unknown Product') AS name
           FROM receivings_products rp
           JOIN receivings r ON rp.receiving_id = r.receiving_id
+          LEFT JOIN products p ON rp.pid = p.pid
           WHERE rp.receiving_id IN (?)
         `, [receivingIds]);
         
@@ -438,19 +498,50 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           const receiving = receivingList.find(r => r.receiving_id == product.receiving_id);
           if (!receiving) continue;
           
+          // Get employee name if available
+          let receivedByName = null;
+          if (product.received_by) {
+            const [employeeResult] = await localConnection.query(`
+              SELECT CONCAT(firstname, ' ', lastname) as full_name 
+              FROM employee_names 
+              WHERE employeeid = $1
+            `, [product.received_by]);
+            
+            if (employeeResult.rows.length > 0) {
+              receivedByName = employeeResult.rows[0].full_name;
+            }
+          }
+          
+          // Get vendor name if available
+          let vendorName = 'Unknown Vendor';
+          if (receiving.supplier_id) {
+            const [vendorResult] = await localConnection.query(`
+              SELECT company_name 
+              FROM temp_supplier_names 
+              WHERE supplier_id = $1
+            `, [receiving.supplier_id]);
+            
+            if (vendorResult.rows.length > 0) {
+              vendorName = vendorResult.rows[0].company_name;
+            }
+          }
+          
           completeReceivings.push({
             receiving_id: receiving.receiving_id.toString(),
-          po_id: receiving.po_id ? receiving.po_id.toString() : null,
             pid: product.pid,
+            sku: product.sku,
+            name: product.name,
+            vendor: vendorName,
             qty_each: product.qty_each,
+            qty_each_orig: product.qty_each_orig,
             cost_each: product.cost_each,
+            cost_each_orig: product.cost_each_orig,
             received_by: product.received_by,
+            received_by_name: receivedByName,
             received_date: validateDate(product.received_date) || validateDate(product.receiving_created_date),
             receiving_created_date: validateDate(product.receiving_created_date),
             supplier_id: receiving.supplier_id,
-          status: receiving.status,
-          status_text: receivingStatusMap[receiving.status] || '',
-          receiving_created_date: validateDate(product.receiving_created_date)
+            status: receivingStatusMap[receiving.status] || 'created'
           });
         }
         
@@ -459,40 +550,49 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           const batch = completeReceivings.slice(i, i + INSERT_BATCH_SIZE);
           
           const placeholders = batch.map((_, idx) => {
-          const base = idx * 11;
-          return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11})`;
+            const base = idx * 15;
+            return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11}, $${base + 12}, $${base + 13}, $${base + 14}, $${base + 15})`;
           }).join(',');
           
           const values = batch.flatMap(r => [
             r.receiving_id,
-          r.po_id,
             r.pid,
+            r.sku,
+            r.name,
+            r.vendor,
             r.qty_each,
+            r.qty_each_orig,
             r.cost_each,
+            r.cost_each_orig,
             r.received_by,
+            r.received_by_name,
             r.received_date,
             r.receiving_created_date,
             r.supplier_id,
-          r.status,
-          r.status_text
+            r.status
           ]);
           
           await localConnection.query(`
             INSERT INTO temp_receivings (
-            receiving_id, po_id, pid, qty_each, cost_each, received_by,
-            received_date, receiving_created_date, supplier_id, status, status_text
+              receiving_id, pid, sku, name, vendor, qty_each, qty_each_orig, 
+              cost_each, cost_each_orig, received_by, received_by_name, 
+              received_date, receiving_created_date, supplier_id, status
             )
             VALUES ${placeholders}
             ON CONFLICT (receiving_id, pid) DO UPDATE SET
-            po_id = EXCLUDED.po_id,
+              sku = EXCLUDED.sku,
+              name = EXCLUDED.name,
+              vendor = EXCLUDED.vendor,
               qty_each = EXCLUDED.qty_each,
+              qty_each_orig = EXCLUDED.qty_each_orig,
               cost_each = EXCLUDED.cost_each,
+              cost_each_orig = EXCLUDED.cost_each_orig,
               received_by = EXCLUDED.received_by,
+              received_by_name = EXCLUDED.received_by_name,
               received_date = EXCLUDED.received_date,
               receiving_created_date = EXCLUDED.receiving_created_date,
               supplier_id = EXCLUDED.supplier_id,
-            status = EXCLUDED.status,
-            status_text = EXCLUDED.status_text
+              status = EXCLUDED.status
           `, values);
         }
         
@@ -505,7 +605,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           message: `Processed ${offset} of ${totalReceivings} receivings (${totalProcessed} line items total)`,
           current: offset,
           total: totalReceivings,
-        elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+          elapsed: formatElapsedTime(startTime),
           remaining: estimateRemaining(startTime, offset, totalReceivings),
           rate: calculateRate(startTime, offset)
         });
@@ -514,16 +614,15 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
           allReceivingsProcessed = true;
         }
       }
+    }
 
-    // 3. Implement FIFO allocation of receivings to purchase orders
+    // Add this section to filter out invalid PIDs before final import
     outputProgress({
       status: "running",
       operation: "Purchase orders import",
-      message: "Validating product IDs before allocation"
+      message: "Validating product IDs before final import"
     });
 
-    // Add this section to filter out invalid PIDs before allocation
-    // This will check all PIDs in our temp tables against the products table
     await localConnection.query(`
       -- Create temp table to store invalid PIDs
       DROP TABLE IF EXISTS temp_invalid_pids;
@@ -561,363 +660,170 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
       console.log(`Filtered out ${filteredCount} items with invalid product IDs`);
     }
 
-    // Break FIFO allocation into steps with progress tracking
-    const fifoSteps = [
-      {
-        name: "Direct allocations",
-        query: `
-          INSERT INTO temp_receiving_allocations (
-            po_id, pid, receiving_id, allocated_qty, cost_each, received_date, received_by
-          )
-          SELECT 
-            r.po_id,
-            r.pid,
-            r.receiving_id,
-            LEAST(r.qty_each, po.ordered) as allocated_qty,
-            r.cost_each,
-            COALESCE(r.received_date, NOW()) as received_date,
-            r.received_by
-          FROM temp_receivings r
-          JOIN temp_purchase_orders po ON r.po_id = po.po_id AND r.pid = po.pid
-          WHERE r.po_id IS NOT NULL
-        `
-      },
-      {
-        name: "Handling standalone receivings",
-        query: `
-          INSERT INTO temp_purchase_orders (
-            po_id, pid, sku, name, vendor, date, status, status_text, 
-            ordered, po_cost_price, supplier_id, date_created, date_ordered
-          )
-          SELECT 
-            'R' || r.receiving_id as po_id,
-            r.pid,
-            COALESCE(p.sku, 'NO-SKU') as sku,
-            COALESCE(p.name, 'Unknown Product') as name,
-            COALESCE(
-              (SELECT vendor FROM temp_purchase_orders 
-               WHERE supplier_id = r.supplier_id LIMIT 1),
-              'Unknown Vendor'
-            ) as vendor,
-            COALESCE(r.received_date, r.receiving_created_date) as date,
-            NULL as status,
-            NULL as status_text,
-            NULL as ordered,
-            r.cost_each as po_cost_price,
-            r.supplier_id,
-            COALESCE(r.receiving_created_date, r.received_date) as date_created,
-            NULL as date_ordered
-          FROM temp_receivings r
-          LEFT JOIN (
-            SELECT DISTINCT pid, sku, name FROM temp_purchase_orders
-          ) p ON r.pid = p.pid
-          WHERE r.po_id IS NULL 
-          OR NOT EXISTS (
-            SELECT 1 FROM temp_purchase_orders po 
-            WHERE po.po_id = r.po_id AND po.pid = r.pid
-          )
-          ON CONFLICT (po_id, pid) DO NOTHING
-        `
-      },
-      {
-        name: "Allocating standalone receivings",
-        query: `
-          INSERT INTO temp_receiving_allocations (
-            po_id, pid, receiving_id, allocated_qty, cost_each, received_date, received_by
-          )
-          SELECT 
-            'R' || r.receiving_id as po_id,
-            r.pid,
-            r.receiving_id,
-            r.qty_each as allocated_qty,
-            r.cost_each,
-            COALESCE(r.received_date, NOW()) as received_date,
-            r.received_by
-          FROM temp_receivings r
-          WHERE r.po_id IS NULL
-          OR NOT EXISTS (
-            SELECT 1 FROM temp_purchase_orders po 
-            WHERE po.po_id = r.po_id AND po.pid = r.pid
-          )
-        `
-      },
-      {
-        name: "FIFO allocation logic",
-        query: `
-          WITH 
-          -- Calculate remaining quantities after direct allocations
-          remaining_po_quantities AS (
-            SELECT 
-              po.po_id,
-              po.pid,
-              po.ordered,
-              COALESCE(SUM(ra.allocated_qty), 0) as already_allocated,
-              po.ordered - COALESCE(SUM(ra.allocated_qty), 0) as remaining_qty,
-              po.date_ordered,
-              po.date_created
-            FROM temp_purchase_orders po
-            LEFT JOIN temp_receiving_allocations ra ON po.po_id = ra.po_id AND po.pid = ra.pid
-            WHERE po.ordered IS NOT NULL
-            GROUP BY po.po_id, po.pid, po.ordered, po.date_ordered, po.date_created
-            HAVING po.ordered > COALESCE(SUM(ra.allocated_qty), 0)
-          ),
-          remaining_receiving_quantities AS (
-            SELECT 
-              r.receiving_id,
-              r.pid,
-              r.qty_each,
-              COALESCE(SUM(ra.allocated_qty), 0) as already_allocated,
-              r.qty_each - COALESCE(SUM(ra.allocated_qty), 0) as remaining_qty,
-              r.received_date,
-              r.cost_each,
-              r.received_by
-            FROM temp_receivings r
-            LEFT JOIN temp_receiving_allocations ra ON r.receiving_id = ra.receiving_id AND r.pid = ra.pid
-            GROUP BY r.receiving_id, r.pid, r.qty_each, r.received_date, r.cost_each, r.received_by
-            HAVING r.qty_each > COALESCE(SUM(ra.allocated_qty), 0)
-          ),
-          -- Rank POs by age, with a cutoff for very old POs (1 year)
-          ranked_pos AS (
-            SELECT 
-              po.po_id,
-              po.pid,
-              po.remaining_qty,
-              CASE 
-                WHEN po.date_ordered IS NULL OR po.date_ordered < NOW() - INTERVAL '1 year' THEN 2
-                ELSE 1
-              END as age_group,
-              ROW_NUMBER() OVER (
-                PARTITION BY po.pid, (CASE WHEN po.date_ordered IS NULL OR po.date_ordered < NOW() - INTERVAL '1 year' THEN 2 ELSE 1 END)
-                ORDER BY COALESCE(po.date_ordered, po.date_created, NOW())
-              ) as rank_in_group
-            FROM remaining_po_quantities po
-          ),
-          -- Rank receivings by date
-          ranked_receivings AS (
-            SELECT 
-              r.receiving_id,
-              r.pid,
-              r.remaining_qty,
-              r.received_date,
-              r.cost_each,
-              r.received_by,
-              ROW_NUMBER() OVER (PARTITION BY r.pid ORDER BY COALESCE(r.received_date, NOW())) as rank
-            FROM remaining_receiving_quantities r
-          ),
-          -- First allocate to recent POs
-          allocations_recent AS (
-            SELECT 
-              po.po_id,
-              po.pid,
-              r.receiving_id,
-              LEAST(po.remaining_qty, r.remaining_qty) as allocated_qty,
-              r.cost_each,
-              COALESCE(r.received_date, NOW()) as received_date,
-              r.received_by,
-              po.age_group,
-              po.rank_in_group,
-              r.rank,
-              'recent' as allocation_type
-            FROM ranked_pos po
-            JOIN ranked_receivings r ON po.pid = r.pid
-            WHERE po.age_group = 1
-            ORDER BY po.pid, po.rank_in_group, r.rank
-          ),
-          -- Then allocate to older POs
-          remaining_after_recent AS (
-            SELECT 
-              r.receiving_id,
-              r.pid,
-              r.remaining_qty - COALESCE(SUM(a.allocated_qty), 0) as remaining_qty,
-              r.received_date,
-              r.cost_each,
-              r.received_by,
-              r.rank
-            FROM ranked_receivings r
-            LEFT JOIN allocations_recent a ON r.receiving_id = a.receiving_id AND r.pid = a.pid
-            GROUP BY r.receiving_id, r.pid, r.remaining_qty, r.received_date, r.cost_each, r.received_by, r.rank
-            HAVING r.remaining_qty > COALESCE(SUM(a.allocated_qty), 0)
-          ),
-          allocations_old AS (
-            SELECT 
-              po.po_id,
-              po.pid,
-              r.receiving_id,
-              LEAST(po.remaining_qty, r.remaining_qty) as allocated_qty,
-              r.cost_each,
-              COALESCE(r.received_date, NOW()) as received_date,
-              r.received_by,
-              po.age_group,
-              po.rank_in_group,
-              r.rank,
-              'old' as allocation_type
-            FROM ranked_pos po
-            JOIN remaining_after_recent r ON po.pid = r.pid
-            WHERE po.age_group = 2
-            ORDER BY po.pid, po.rank_in_group, r.rank
-          ),
-          -- Combine allocations
-          combined_allocations AS (
-            SELECT * FROM allocations_recent
-            UNION ALL
-            SELECT * FROM allocations_old
-          )
-          -- Insert into allocations table
-          INSERT INTO temp_receiving_allocations (
-            po_id, pid, receiving_id, allocated_qty, cost_each, received_date, received_by
-          )
-          SELECT 
-            po_id, pid, receiving_id, allocated_qty, cost_each, 
-            COALESCE(received_date, NOW()) as received_date, 
-            received_by
-          FROM combined_allocations
-          WHERE allocated_qty > 0
-        `
-      }
-    ];
-
-    // Execute FIFO steps with progress tracking
-    for (let i = 0; i < fifoSteps.length; i++) {
-      const step = fifoSteps[i];
+    // 3. Insert final purchase order records to the actual table
     outputProgress({
       status: "running",
       operation: "Purchase orders import",
-        message: `FIFO allocation step ${i+1}/${fifoSteps.length}: ${step.name}`,
-        current: i,
-        total: fifoSteps.length
+      message: "Inserting final purchase order records"
     });
 
-      await localConnection.query(step.query);
-    }
+    // Create a temp table to track PO IDs being processed
+    await localConnection.query(`
+      DROP TABLE IF EXISTS processed_po_ids;
+      CREATE TEMP TABLE processed_po_ids AS (
+        SELECT DISTINCT po_id FROM temp_purchase_orders
+      );
+    `);
       
-    // 4. Generate final purchase order records with receiving data
-    outputProgress({
-      status: "running",
-      operation: "Purchase orders import",
-      message: "Generating final purchase order records"
-    });
-
-    const [finalResult] = await localConnection.query(`
-      WITH 
-      receiving_summaries AS (
-        SELECT 
-          po_id,
-          pid,
-          SUM(allocated_qty) as total_received,
-          JSONB_AGG(
-            JSONB_BUILD_OBJECT(
-              'receiving_id', receiving_id,
-              'qty', allocated_qty,
-              'date', COALESCE(received_date, NOW()),
-              'cost', cost_each,
-              'received_by', received_by,
-              'received_by_name', CASE 
-                WHEN received_by IS NOT NULL AND received_by > 0 THEN
-                  (SELECT CONCAT(firstname, ' ', lastname) 
-                   FROM employee_names 
-                   WHERE employeeid = received_by)
-                ELSE NULL
-              END
-            ) ORDER BY COALESCE(received_date, NOW())
-          ) as receiving_history,
-          MIN(COALESCE(received_date, NOW())) as first_received_date,
-          MAX(COALESCE(received_date, NOW())) as last_received_date,
-          STRING_AGG(
-            DISTINCT CASE WHEN received_by IS NOT NULL AND received_by > 0 
-              THEN CAST(received_by AS TEXT) 
-              ELSE NULL 
-            END,
-            ','
-          ) as received_by_list,
-          STRING_AGG(
-            DISTINCT CASE 
-              WHEN ra.received_by IS NOT NULL AND ra.received_by > 0 THEN
-                (SELECT CONCAT(firstname, ' ', lastname) 
-                 FROM employee_names 
-                 WHERE employeeid = ra.received_by)
-              ELSE NULL 
-            END,
-            ', '
-          ) as received_by_names
-        FROM temp_receiving_allocations ra
-        GROUP BY po_id, pid
-      ),
-      cost_averaging AS (
-        SELECT 
-          ra.po_id,
-          ra.pid,
-          SUM(ra.allocated_qty * ra.cost_each) / NULLIF(SUM(ra.allocated_qty), 0) as avg_cost
-        FROM temp_receiving_allocations ra
-        GROUP BY ra.po_id, ra.pid
+    // Delete products that were removed from POs and count them
+    const [poDeletedResult] = await localConnection.query(`
+      WITH deleted AS (
+        DELETE FROM purchase_orders
+        WHERE po_id IN (SELECT po_id FROM processed_po_ids)
+          AND NOT EXISTS (
+            SELECT 1 FROM temp_purchase_orders tp
+            WHERE purchase_orders.po_id = tp.po_id AND purchase_orders.pid = tp.pid
           )
+        RETURNING po_id, pid
+      )
+      SELECT COUNT(*) as count FROM deleted
+    `);
+    
+    poRecordsDeleted = poDeletedResult.rows[0]?.count || 0;
+    console.log(`Deleted ${poRecordsDeleted} products that were removed from purchase orders`);
+
+    const [poResult] = await localConnection.query(`
       INSERT INTO purchase_orders (
         po_id, vendor, date, expected_date, pid, sku, name,
-        cost_price, po_cost_price, status, receiving_status, notes, long_note,
-        ordered, received, received_date, last_received_date, received_by,
-        receiving_history
+        po_cost_price, status, notes, long_note,
+        ordered, supplier_id, date_created, date_ordered
       )
       SELECT 
-        po.po_id,
-        po.vendor,
-        CASE
-          WHEN po.date IS NOT NULL THEN po.date
-          -- For standalone receivings, try to use the receiving date from history
-          WHEN po.po_id LIKE 'R%' AND rs.first_received_date IS NOT NULL THEN rs.first_received_date
-          -- As a last resort for data integrity, use Unix epoch (Jan 1, 1970)
-          ELSE to_timestamp(0)
-        END as date,
-        NULLIF(po.expected_date::text, '0000-00-00')::date as expected_date,
-        po.pid,
-        po.sku,
-        po.name,
-        COALESCE(ca.avg_cost, po.po_cost_price) as cost_price,
-        po.po_cost_price,
-        CASE WHEN po.status IS NULL THEN 1 ELSE po.status END as status,
-        CASE 
-          WHEN rs.total_received IS NULL THEN 1
-          WHEN rs.total_received = 0 THEN 1
-          WHEN rs.total_received < po.ordered THEN 30
-          WHEN rs.total_received >= po.ordered THEN 40
-          ELSE 1
-        END as receiving_status,
-        po.notes,
-        po.long_note,
-        COALESCE(po.ordered, 0),
-        COALESCE(rs.total_received, 0),
-        NULLIF(rs.first_received_date::text, '0000-00-00 00:00:00')::timestamp with time zone as received_date,
-        NULLIF(rs.last_received_date::text, '0000-00-00 00:00:00')::timestamp with time zone as last_received_date,
-        CASE 
-          WHEN rs.received_by_list IS NULL THEN NULL
-          ELSE rs.received_by_names
-        END as received_by,
-        rs.receiving_history
-      FROM temp_purchase_orders po
-      LEFT JOIN receiving_summaries rs ON po.po_id = rs.po_id AND po.pid = rs.pid
-      LEFT JOIN cost_averaging ca ON po.po_id = ca.po_id AND po.pid = ca.pid
+        po_id,
+        vendor,
+        COALESCE(date, date_created, now()) as date,
+        expected_date,
+        pid,
+        sku,
+        name,
+        po_cost_price,
+        status,
+        notes,
+        long_note,
+        ordered,
+        supplier_id,
+        date_created,
+        date_ordered
+      FROM temp_purchase_orders
       ON CONFLICT (po_id, pid) DO UPDATE SET
         vendor = EXCLUDED.vendor,
         date = EXCLUDED.date,
         expected_date = EXCLUDED.expected_date,
         sku = EXCLUDED.sku,
         name = EXCLUDED.name,
-        cost_price = EXCLUDED.cost_price,
         po_cost_price = EXCLUDED.po_cost_price,
         status = EXCLUDED.status,
-        receiving_status = EXCLUDED.receiving_status,
         notes = EXCLUDED.notes,
         long_note = EXCLUDED.long_note,
         ordered = EXCLUDED.ordered,
-        received = EXCLUDED.received,
-        received_date = EXCLUDED.received_date,
-        last_received_date = EXCLUDED.last_received_date,
-        received_by = EXCLUDED.received_by,
-        receiving_history = EXCLUDED.receiving_history,
+        supplier_id = EXCLUDED.supplier_id,
+        date_created = EXCLUDED.date_created,
+        date_ordered = EXCLUDED.date_ordered,
         updated = CURRENT_TIMESTAMP
+      WHERE -- Only update if at least one key field has changed
+        purchase_orders.ordered IS DISTINCT FROM EXCLUDED.ordered OR
+        purchase_orders.po_cost_price IS DISTINCT FROM EXCLUDED.po_cost_price OR
+        purchase_orders.status IS DISTINCT FROM EXCLUDED.status OR
+        purchase_orders.expected_date IS DISTINCT FROM EXCLUDED.expected_date OR
+        purchase_orders.date IS DISTINCT FROM EXCLUDED.date OR
+        purchase_orders.vendor IS DISTINCT FROM EXCLUDED.vendor
       RETURNING (xmax = 0) as inserted
     `);
 
-    recordsAdded = finalResult.rows.filter(r => r.inserted).length;
-    recordsUpdated = finalResult.rows.filter(r => !r.inserted).length;
+    poRecordsAdded = poResult.rows.filter(r => r.inserted).length;
+    poRecordsUpdated = poResult.rows.filter(r => !r.inserted).length;
+
+    // 4. Insert final receiving records to the actual table
+    outputProgress({
+      status: "running",
+      operation: "Purchase orders import",
+      message: "Inserting final receiving records"
+    });
+
+    // Create a temp table to track receiving IDs being processed
+    await localConnection.query(`
+      DROP TABLE IF EXISTS processed_receiving_ids;
+      CREATE TEMP TABLE processed_receiving_ids AS (
+        SELECT DISTINCT receiving_id FROM temp_receivings
+      );
+    `);
+      
+    // Delete products that were removed from receivings and count them
+    const [receivingDeletedResult] = await localConnection.query(`
+      WITH deleted AS (
+        DELETE FROM receivings
+        WHERE receiving_id IN (SELECT receiving_id FROM processed_receiving_ids)
+          AND NOT EXISTS (
+            SELECT 1 FROM temp_receivings tr
+            WHERE receivings.receiving_id = tr.receiving_id AND receivings.pid = tr.pid
+          )
+        RETURNING receiving_id, pid
+      )
+      SELECT COUNT(*) as count FROM deleted
+    `);
+    
+    receivingRecordsDeleted = receivingDeletedResult.rows[0]?.count || 0;
+    console.log(`Deleted ${receivingRecordsDeleted} products that were removed from receivings`);
+
+    const [receivingsResult] = await localConnection.query(`
+      INSERT INTO receivings (
+        receiving_id, pid, sku, name, vendor, qty_each, qty_each_orig,
+        cost_each, cost_each_orig, received_by, received_by_name,
+        received_date, receiving_created_date, supplier_id, status
+      )
+      SELECT 
+        receiving_id,
+        pid,
+        sku,
+        name,
+        vendor,
+        qty_each,
+        qty_each_orig,
+        cost_each,
+        cost_each_orig,
+        received_by,
+        received_by_name,
+        COALESCE(received_date, receiving_created_date, now()) as received_date,
+        receiving_created_date,
+        supplier_id,
+        status
+      FROM temp_receivings
+      ON CONFLICT (receiving_id, pid) DO UPDATE SET
+        sku = EXCLUDED.sku,
+        name = EXCLUDED.name,
+        vendor = EXCLUDED.vendor,
+        qty_each = EXCLUDED.qty_each,
+        qty_each_orig = EXCLUDED.qty_each_orig,
+        cost_each = EXCLUDED.cost_each,
+        cost_each_orig = EXCLUDED.cost_each_orig,
+        received_by = EXCLUDED.received_by,
+        received_by_name = EXCLUDED.received_by_name,
+        received_date = EXCLUDED.received_date,
+        receiving_created_date = EXCLUDED.receiving_created_date,
+        supplier_id = EXCLUDED.supplier_id,
+        status = EXCLUDED.status,
+        updated = CURRENT_TIMESTAMP
+      WHERE -- Only update if at least one key field has changed
+        receivings.qty_each IS DISTINCT FROM EXCLUDED.qty_each OR
+        receivings.cost_each IS DISTINCT FROM EXCLUDED.cost_each OR
+        receivings.status IS DISTINCT FROM EXCLUDED.status OR
+        receivings.received_date IS DISTINCT FROM EXCLUDED.received_date OR
+        receivings.received_by IS DISTINCT FROM EXCLUDED.received_by
+      RETURNING (xmax = 0) as inserted
+    `);
+
+    receivingRecordsAdded = receivingsResult.rows.filter(r => r.inserted).length;
+    receivingRecordsUpdated = receivingsResult.rows.filter(r => !r.inserted).length;
 
     // Update sync status
     await localConnection.query(`
@@ -931,8 +837,11 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
     await localConnection.query(`
       DROP TABLE IF EXISTS temp_purchase_orders;
       DROP TABLE IF EXISTS temp_receivings;
-      DROP TABLE IF EXISTS temp_receiving_allocations;
       DROP TABLE IF EXISTS employee_names;
+      DROP TABLE IF EXISTS temp_supplier_names;
+      DROP TABLE IF EXISTS temp_invalid_pids;
+      DROP TABLE IF EXISTS processed_po_ids;
+      DROP TABLE IF EXISTS processed_receiving_ids;
     `);
     
     // Commit transaction
@@ -940,8 +849,15 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
 
     return {
       status: "complete",
-      recordsAdded: recordsAdded || 0,
-      recordsUpdated: recordsUpdated || 0,
+      recordsAdded: poRecordsAdded + receivingRecordsAdded,
+      recordsUpdated: poRecordsUpdated + receivingRecordsUpdated,
+      recordsDeleted: poRecordsDeleted + receivingRecordsDeleted,
+      poRecordsAdded,
+      poRecordsUpdated,
+      poRecordsDeleted,
+      receivingRecordsAdded,
+      receivingRecordsUpdated,
+      receivingRecordsDeleted,
       totalRecords: totalProcessed
     };
   } catch (error) {
@@ -959,6 +875,7 @@ async function importPurchaseOrders(prodConnection, localConnection, incremental
       error: error.message,
       recordsAdded: 0,
       recordsUpdated: 0,
+      recordsDeleted: 0,
       totalRecords: 0
     };
   }

inventory-server/scripts/metrics-new/backfill/populate_initial_product_metrics.sql

@@ -0,0 +1,444 @@
+-- Description: Performs the first population OR full recalculation of the product_metrics table based on
+--              historically backfilled daily_product_snapshots and current product/PO data.
+--              Calculates all metrics considering the full available history up to 'yesterday'.
+--              Run ONCE after backfill_historical_snapshots_final.sql completes successfully.
+-- Dependencies: Core import tables (products, purchase_orders, receivings), daily_product_snapshots (historically populated),
+--               configuration tables (settings_*), product_metrics table must exist.
+-- Frequency: Run ONCE.
+DO $$
+DECLARE
+    _module_name VARCHAR := 'product_metrics_population'; -- Generic name
+    _start_time TIMESTAMPTZ := clock_timestamp();
+    -- Calculate metrics AS OF the end of the last fully completed day
+    _calculation_date DATE := CURRENT_DATE - INTERVAL '1 day';
+BEGIN
+    RAISE NOTICE 'Running % module. Calculating AS OF: %. Start Time: %', _module_name, _calculation_date, _start_time;
+
+    -- Optional: Consider TRUNCATE if you want a completely fresh start,
+    -- otherwise ON CONFLICT will update existing rows if this is rerun.
+    -- TRUNCATE TABLE public.product_metrics;
+    RAISE NOTICE 'Populating product_metrics table. This may take some time...';
+
+    -- CTEs to gather necessary information AS OF _calculation_date
+    WITH CurrentInfo AS (
+        -- Fetches current product details, including costs/prices used for forecasting & fallbacks
+        SELECT
+            p.pid, p.sku, p.title, p.brand, p.vendor, COALESCE(p.image_175, p.image) as image_url,
+            p.visible as is_visible, p.replenishable,
+            COALESCE(p.price, 0.00) as current_price, COALESCE(p.regular_price, 0.00) as current_regular_price,
+            COALESCE(p.cost_price, 0.00) as current_cost_price,
+            COALESCE(p.landing_cost_price, p.cost_price, 0.00) as current_effective_cost, -- Use landing if available, else cost
+            p.stock_quantity as current_stock, -- Use actual current stock for forecast base
+            p.created_at, p.first_received, p.date_last_sold,
+            p.moq,
+            p.uom,
+            p.total_sold as historical_total_sold -- Add historical total_sold from products table
+        FROM public.products p
+    ),
+    OnOrderInfo AS (
+        -- Calculates current on-order quantities and costs
+        SELECT
+            pid,
+            SUM(ordered) AS on_order_qty,
+            SUM(ordered * po_cost_price) AS on_order_cost,
+            MIN(expected_date) AS earliest_expected_date
+        FROM public.purchase_orders
+        -- Use the most common statuses representing active, unfulfilled POs
+        WHERE status IN ('created', 'ordered', 'preordered', 'electronically_sent', 'electronically_ready_send', 'receiving_started')
+          AND status NOT IN ('canceled', 'done')
+        GROUP BY pid
+    ),
+    HistoricalDates AS (
+        -- Determines key historical dates from orders and receivings
+         SELECT
+            p.pid,
+            MIN(o.date)::date AS date_first_sold,
+            MAX(o.date)::date AS max_order_date, -- Used as fallback for date_last_sold
+            MIN(r.received_date)::date AS date_first_received_calc,
+            MAX(r.received_date)::date AS date_last_received_calc
+        FROM public.products p
+        LEFT JOIN public.orders o ON p.pid = o.pid AND o.quantity > 0 AND o.status NOT IN ('canceled', 'returned')
+        LEFT JOIN public.receivings r ON p.pid = r.pid
+        GROUP BY p.pid
+    ),
+    SnapshotAggregates AS (
+        -- Aggregates metrics from historical snapshots up to the _calculation_date
+        SELECT
+            pid,
+            -- Rolling periods relative to _calculation_date
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '6 days' AND _calculation_date THEN units_sold ELSE 0 END) AS sales_7d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '6 days' AND _calculation_date THEN net_revenue ELSE 0 END) AS revenue_7d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '13 days' AND _calculation_date THEN units_sold ELSE 0 END) AS sales_14d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '13 days' AND _calculation_date THEN net_revenue ELSE 0 END) AS revenue_14d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN units_sold ELSE 0 END) AS sales_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN net_revenue ELSE 0 END) AS revenue_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN cogs ELSE 0 END) AS cogs_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN profit ELSE 0 END) AS profit_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN units_returned ELSE 0 END) AS returns_units_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN returns_revenue ELSE 0 END) AS returns_revenue_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN discounts ELSE 0 END) AS discounts_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN gross_revenue ELSE 0 END) AS gross_revenue_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN gross_regular_revenue ELSE 0 END) AS gross_regular_revenue_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date AND stockout_flag THEN 1 ELSE 0 END) AS stockout_days_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '364 days' AND _calculation_date THEN units_sold ELSE 0 END) AS sales_365d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '364 days' AND _calculation_date THEN net_revenue ELSE 0 END) AS revenue_365d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN units_received ELSE 0 END) AS received_qty_30d,
+            SUM(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN cost_received ELSE 0 END) AS received_cost_30d,
+
+            -- Averages over the last 30 days ending _calculation_date
+            AVG(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN eod_stock_quantity END) AS avg_stock_units_30d,
+            AVG(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN eod_stock_cost END) AS avg_stock_cost_30d,
+            AVG(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN eod_stock_retail END) AS avg_stock_retail_30d,
+            AVG(CASE WHEN snapshot_date BETWEEN _calculation_date - INTERVAL '29 days' AND _calculation_date THEN eod_stock_gross END) AS avg_stock_gross_30d,
+
+            -- Lifetime (Using historical total from products table)
+            (SELECT total_sold FROM public.products WHERE public.products.pid = daily_product_snapshots.pid) AS lifetime_sales,
+            COALESCE(
+                -- Option 1: Use 30-day average price if available
+                CASE WHEN SUM(CASE WHEN snapshot_date >= _calculation_date - INTERVAL '29 days' AND snapshot_date <= _calculation_date THEN units_sold ELSE 0 END) > 0 THEN
+                    (SELECT total_sold FROM public.products WHERE public.products.pid = daily_product_snapshots.pid) * (
+                        SUM(CASE WHEN snapshot_date >= _calculation_date - INTERVAL '29 days' AND snapshot_date <= _calculation_date THEN net_revenue ELSE 0 END) / 
+                        NULLIF(SUM(CASE WHEN snapshot_date >= _calculation_date - INTERVAL '29 days' AND snapshot_date <= _calculation_date THEN units_sold ELSE 0 END), 0)
+                    )
+                ELSE NULL END,
+                -- Option 2: Try 365-day average price if available
+                CASE WHEN SUM(CASE WHEN snapshot_date >= _calculation_date - INTERVAL '364 days' AND snapshot_date <= _calculation_date THEN units_sold ELSE 0 END) > 0 THEN
+                    (SELECT total_sold FROM public.products WHERE public.products.pid = daily_product_snapshots.pid) * (
+                        SUM(CASE WHEN snapshot_date >= _calculation_date - INTERVAL '364 days' AND snapshot_date <= _calculation_date THEN net_revenue ELSE 0 END) / 
+                        NULLIF(SUM(CASE WHEN snapshot_date >= _calculation_date - INTERVAL '364 days' AND snapshot_date <= _calculation_date THEN units_sold ELSE 0 END), 0)
+                    )
+                ELSE NULL END,
+                -- Option 3: Use current price from products table
+                (SELECT total_sold * price FROM public.products WHERE public.products.pid = daily_product_snapshots.pid),
+                -- Option 4: Use regular price if current price might be zero
+                (SELECT total_sold * regular_price FROM public.products WHERE public.products.pid = daily_product_snapshots.pid),
+                -- Final fallback: Use accumulated revenue (less accurate for old products)
+                SUM(net_revenue)
+            ) AS lifetime_revenue,
+
+            -- Yesterday (Sales for the specific _calculation_date)
+            SUM(CASE WHEN snapshot_date = _calculation_date THEN units_sold ELSE 0 END) as yesterday_sales
+
+        FROM public.daily_product_snapshots
+        WHERE snapshot_date <= _calculation_date -- Ensure we only use data up to the calculation point
+        GROUP BY pid
+    ),
+    FirstPeriodMetrics AS (
+       -- Calculates sales/revenue for first X days after first sale date
+       -- Uses HistoricalDates CTE to get the first sale date
+        SELECT
+            pid, date_first_sold,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '6 days' THEN units_sold ELSE 0 END) AS first_7_days_sales,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '6 days' THEN net_revenue ELSE 0 END) AS first_7_days_revenue,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '29 days' THEN units_sold ELSE 0 END) AS first_30_days_sales,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '29 days' THEN net_revenue ELSE 0 END) AS first_30_days_revenue,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '59 days' THEN units_sold ELSE 0 END) AS first_60_days_sales,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '59 days' THEN net_revenue ELSE 0 END) AS first_60_days_revenue,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '89 days' THEN units_sold ELSE 0 END) AS first_90_days_sales,
+            SUM(CASE WHEN snapshot_date BETWEEN date_first_sold AND date_first_sold + INTERVAL '89 days' THEN net_revenue ELSE 0 END) AS first_90_days_revenue
+        FROM public.daily_product_snapshots ds
+        JOIN HistoricalDates hd USING(pid)
+        WHERE date_first_sold IS NOT NULL
+          AND snapshot_date >= date_first_sold -- Only consider snapshots after first sale
+          AND snapshot_date <= _calculation_date -- Only up to the overall calculation date
+        GROUP BY pid, date_first_sold
+    ),
+    Settings AS (
+       -- Fetches effective configuration settings (Product > Vendor > Global)
+       SELECT
+        p.pid,
+        COALESCE(sp.lead_time_days, sv.default_lead_time_days, (SELECT setting_value FROM settings_global WHERE setting_key = 'default_lead_time_days')::int, 14) AS effective_lead_time,
+        COALESCE(sp.days_of_stock, sv.default_days_of_stock, (SELECT setting_value FROM settings_global WHERE setting_key = 'default_days_of_stock')::int, 30) AS effective_days_of_stock,
+        COALESCE(sp.safety_stock, (SELECT setting_value::int FROM settings_global WHERE setting_key = 'default_safety_stock_units'), 0) AS effective_safety_stock,
+        COALESCE(sp.exclude_from_forecast, FALSE) AS exclude_forecast
+      FROM public.products p
+      LEFT JOIN public.settings_product sp ON p.pid = sp.pid
+      LEFT JOIN public.settings_vendor sv ON p.vendor = sv.vendor
+    ),
+    AvgLeadTime AS (
+        -- Calculate Average Lead Time by joining purchase_orders with receivings
+        SELECT
+            po.pid,
+            AVG(GREATEST(1, 
+                CASE 
+                    WHEN r.received_date IS NOT NULL AND po.date IS NOT NULL 
+                    THEN (r.received_date::date - po.date::date)
+                    ELSE 1
+                END
+            ))::int AS avg_lead_time_days_calc
+        FROM public.purchase_orders po
+        JOIN public.receivings r ON r.pid = po.pid
+        WHERE po.status = 'done' -- Completed POs
+          AND r.received_date IS NOT NULL
+          AND po.date IS NOT NULL
+          AND r.received_date >= po.date
+        GROUP BY po.pid
+    ),
+    RankedForABC AS (
+        -- Ranks products based on the configured ABC metric (using historical data)
+         SELECT
+            p.pid,
+            CASE COALESCE((SELECT setting_value FROM settings_global WHERE setting_key = 'abc_calculation_basis'), 'revenue_30d')
+                WHEN 'sales_30d' THEN COALESCE(sa.sales_30d, 0)
+                WHEN 'lifetime_revenue' THEN COALESCE(sa.lifetime_revenue, 0)::numeric
+                ELSE COALESCE(sa.revenue_30d, 0) -- Default to revenue_30d
+            END AS metric_value
+        FROM public.products p -- Use products as the base
+        JOIN SnapshotAggregates sa ON p.pid = sa.pid
+        WHERE p.replenishable = TRUE -- Only rank replenishable products
+          AND (CASE COALESCE((SELECT setting_value FROM settings_global WHERE setting_key = 'abc_calculation_basis'), 'revenue_30d')
+                WHEN 'sales_30d' THEN COALESCE(sa.sales_30d, 0)
+                WHEN 'lifetime_revenue' THEN COALESCE(sa.lifetime_revenue, 0)::numeric
+                ELSE COALESCE(sa.revenue_30d, 0)
+              END) > 0 -- Only include products with non-zero contribution
+    ),
+    CumulativeABC AS (
+        -- Calculates cumulative metric values for ABC ranking
+         SELECT
+            pid, metric_value,
+            SUM(metric_value) OVER (ORDER BY metric_value DESC NULLS LAST ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) as cumulative_metric,
+            SUM(metric_value) OVER () as total_metric
+        FROM RankedForABC
+    ),
+    FinalABC AS (
+        -- Assigns A, B, or C class based on thresholds
+        SELECT
+            pid,
+            CASE
+                WHEN cumulative_metric / NULLIF(total_metric, 0) <= COALESCE((SELECT setting_value::numeric FROM settings_global WHERE setting_key = 'abc_revenue_threshold_a'), 0.8) THEN 'A'::char(1)
+                WHEN cumulative_metric / NULLIF(total_metric, 0) <= COALESCE((SELECT setting_value::numeric FROM settings_global WHERE setting_key = 'abc_revenue_threshold_b'), 0.95) THEN 'B'::char(1)
+                ELSE 'C'::char(1)
+            END AS abc_class_calc
+         FROM CumulativeABC
+    )
+    -- Final INSERT/UPDATE statement using all the prepared CTEs
+    INSERT INTO public.product_metrics (
+        pid, last_calculated, sku, title, brand, vendor, image_url, is_visible, is_replenishable,
+        current_price, current_regular_price, current_cost_price, current_landing_cost_price,
+        current_stock, current_stock_cost, current_stock_retail, current_stock_gross,
+        on_order_qty, on_order_cost, on_order_retail, earliest_expected_date,
+        date_created, date_first_received, date_last_received, date_first_sold, date_last_sold, age_days,
+        sales_7d, revenue_7d, sales_14d, revenue_14d, sales_30d, revenue_30d, cogs_30d, profit_30d,
+        returns_units_30d, returns_revenue_30d, discounts_30d, gross_revenue_30d, gross_regular_revenue_30d,
+        stockout_days_30d, sales_365d, revenue_365d,
+        avg_stock_units_30d, avg_stock_cost_30d, avg_stock_retail_30d, avg_stock_gross_30d,
+        received_qty_30d, received_cost_30d,
+        lifetime_sales, lifetime_revenue,
+        first_7_days_sales, first_7_days_revenue, first_30_days_sales, first_30_days_revenue,
+        first_60_days_sales, first_60_days_revenue, first_90_days_sales, first_90_days_revenue,
+        asp_30d, acp_30d, avg_ros_30d, avg_sales_per_day_30d,
+        margin_30d, markup_30d, gmroi_30d, stockturn_30d, return_rate_30d, discount_rate_30d,
+        stockout_rate_30d, markdown_30d, markdown_rate_30d, sell_through_30d,
+        avg_lead_time_days, abc_class,
+        sales_velocity_daily, config_lead_time, config_days_of_stock, config_safety_stock,
+        planning_period_days, lead_time_forecast_units, days_of_stock_forecast_units,
+        planning_period_forecast_units, lead_time_closing_stock, days_of_stock_closing_stock,
+        replenishment_needed_raw, replenishment_units, replenishment_cost, replenishment_retail, replenishment_profit,
+        to_order_units, forecast_lost_sales_units, forecast_lost_revenue,
+        stock_cover_in_days, po_cover_in_days, sells_out_in_days, replenish_date,
+        overstocked_units, overstocked_cost, overstocked_retail, is_old_stock,
+        yesterday_sales
+    )
+    SELECT
+        -- Select columns in order, joining all CTEs by pid
+        ci.pid, _start_time, ci.sku, ci.title, ci.brand, ci.vendor, ci.image_url, ci.is_visible, ci.replenishable,
+        ci.current_price, ci.current_regular_price, ci.current_cost_price, ci.current_effective_cost,
+        ci.current_stock, (ci.current_stock * COALESCE(ci.current_effective_cost, 0.00))::numeric(12,2), (ci.current_stock * COALESCE(ci.current_price, 0.00))::numeric(12,2), (ci.current_stock * COALESCE(ci.current_regular_price, 0.00))::numeric(12,2),
+        COALESCE(ooi.on_order_qty, 0), COALESCE(ooi.on_order_cost, 0.00)::numeric(12,2), (COALESCE(ooi.on_order_qty, 0) * COALESCE(ci.current_price, 0.00))::numeric(12,2), ooi.earliest_expected_date,
+        
+        -- Fix type issue with date calculation - properly cast timestamps to dates before arithmetic
+        ci.created_at::date, 
+        COALESCE(ci.first_received::date, hd.date_first_received_calc), 
+        hd.date_last_received_calc, 
+        hd.date_first_sold, 
+        COALESCE(ci.date_last_sold, hd.max_order_date), 
+        -- Fix timestamp + integer error by ensuring we work only with dates
+        CASE 
+            WHEN LEAST(ci.created_at::date, COALESCE(hd.date_first_sold, ci.created_at::date)) IS NOT NULL 
+            THEN (_calculation_date::date - LEAST(ci.created_at::date, COALESCE(hd.date_first_sold, ci.created_at::date)))::int
+            ELSE NULL
+        END,
+        
+        COALESCE(sa.sales_7d, 0), COALESCE(sa.revenue_7d, 0), COALESCE(sa.sales_14d, 0), COALESCE(sa.revenue_14d, 0), COALESCE(sa.sales_30d, 0), COALESCE(sa.revenue_30d, 0), COALESCE(sa.cogs_30d, 0), COALESCE(sa.profit_30d, 0),
+        COALESCE(sa.returns_units_30d, 0), COALESCE(sa.returns_revenue_30d, 0), COALESCE(sa.discounts_30d, 0), COALESCE(sa.gross_revenue_30d, 0), COALESCE(sa.gross_regular_revenue_30d, 0),
+        COALESCE(sa.stockout_days_30d, 0), COALESCE(sa.sales_365d, 0), COALESCE(sa.revenue_365d, 0),
+        sa.avg_stock_units_30d, sa.avg_stock_cost_30d, sa.avg_stock_retail_30d, sa.avg_stock_gross_30d, -- Averages can be NULL if no data
+        COALESCE(sa.received_qty_30d, 0), COALESCE(sa.received_cost_30d, 0),
+        COALESCE(sa.lifetime_sales, 0), COALESCE(sa.lifetime_revenue, 0),
+        fpm.first_7_days_sales, fpm.first_7_days_revenue, fpm.first_30_days_sales, fpm.first_30_days_revenue,
+        fpm.first_60_days_sales, fpm.first_60_days_revenue, fpm.first_90_days_sales, fpm.first_90_days_revenue,
+
+        -- Calculated KPIs (using COALESCE on inputs where appropriate)
+        sa.revenue_30d / NULLIF(sa.sales_30d, 0) AS asp_30d,
+        sa.cogs_30d / NULLIF(sa.sales_30d, 0) AS acp_30d,
+        sa.profit_30d / NULLIF(sa.sales_30d, 0) AS avg_ros_30d,
+        COALESCE(sa.sales_30d, 0) / 30.0 AS avg_sales_per_day_30d,
+        
+        -- Fix for percentages - cast to numeric with appropriate precision
+        ((sa.profit_30d / NULLIF(sa.revenue_30d, 0)) * 100)::numeric(8,2) AS margin_30d,
+        ((sa.profit_30d / NULLIF(sa.cogs_30d, 0)) * 100)::numeric(8,2) AS markup_30d,
+        sa.profit_30d / NULLIF(sa.avg_stock_cost_30d, 0) AS gmroi_30d,
+        sa.sales_30d / NULLIF(sa.avg_stock_units_30d, 0) AS stockturn_30d,
+        ((sa.returns_units_30d / NULLIF(COALESCE(sa.sales_30d, 0) + COALESCE(sa.returns_units_30d, 0), 0)) * 100)::numeric(8,2) AS return_rate_30d,
+        ((sa.discounts_30d / NULLIF(sa.gross_revenue_30d, 0)) * 100)::numeric(8,2) AS discount_rate_30d,
+        ((COALESCE(sa.stockout_days_30d, 0) / 30.0) * 100)::numeric(8,2) AS stockout_rate_30d,
+        GREATEST(0, sa.gross_regular_revenue_30d - sa.gross_revenue_30d) AS markdown_30d, -- Ensure markdown isn't negative
+        ((GREATEST(0, sa.gross_regular_revenue_30d - sa.gross_revenue_30d) / NULLIF(sa.gross_regular_revenue_30d, 0)) * 100)::numeric(8,2) AS markdown_rate_30d,
+        -- Sell Through Rate: Sales / (Stock at end of period + Sales). This is one definition proxying for Sales / Beginning Stock.
+        ((sa.sales_30d / NULLIF(
+             (SELECT eod_stock_quantity FROM daily_product_snapshots WHERE snapshot_date = _calculation_date AND pid = ci.pid LIMIT 1) + COALESCE(sa.sales_30d, 0)
+             , 0)) * 100)::numeric(8,2) AS sell_through_30d,
+
+        -- Use calculated periodic metrics
+        alt.avg_lead_time_days_calc,
+        CASE
+            WHEN ci.replenishable = FALSE THEN NULL -- Non-replenishable don't get a class
+            ELSE COALESCE(fa.abc_class_calc, 'C') -- Default ranked replenishable but non-contributing to C
+        END,
+
+        -- Forecasting intermediate values (based on historical aggregates ending _calculation_date)
+        (COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) AS sales_velocity_daily, -- Ensure divisor > 0
+        s.effective_lead_time AS config_lead_time, s.effective_days_of_stock AS config_days_of_stock, s.effective_safety_stock AS config_safety_stock,
+        (s.effective_lead_time + s.effective_days_of_stock) AS planning_period_days,
+        -- Calculate raw forecast need components (using safe velocity)
+        (COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time AS lead_time_forecast_units,
+        (COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock AS days_of_stock_forecast_units,
+        -- Planning period forecast units (sum of lead time and DOS units)
+        CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+          + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock) AS planning_period_forecast_units,
+        -- Closing stock calculations (using raw forecast components for accuracy before rounding)
+        (ci.current_stock + COALESCE(ooi.on_order_qty, 0) - ((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)) AS lead_time_closing_stock,
+        ((ci.current_stock + COALESCE(ooi.on_order_qty, 0) - ((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)))
+          - ((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock) AS days_of_stock_closing_stock,
+        -- Raw replenishment needed
+        (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time) -- Use rounded forecast units
+           + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+           + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0) AS replenishment_needed_raw,
+
+        -- Final Forecasting Metrics
+        -- Replenishment Units (calculated need, before MOQ)
+        CEILING(GREATEST(0,
+           (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+             + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+             + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0)
+        ))::int AS replenishment_units,
+        -- Replenishment Cost/Retail/Profit (based on replenishment_units)
+        (CEILING(GREATEST(0, 
+           (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+             + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+             + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0)
+        ))::int) * COALESCE(ci.current_effective_cost, 0.00)::numeric(12,2) AS replenishment_cost,
+        (CEILING(GREATEST(0, 
+           (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+             + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+             + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0)
+        ))::int) * COALESCE(ci.current_price, 0.00)::numeric(12,2) AS replenishment_retail,
+        (CEILING(GREATEST(0, 
+           (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+             + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+             + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0)
+        ))::int) * (COALESCE(ci.current_price, 0.00) - COALESCE(ci.current_effective_cost, 0.00))::numeric(12,2) AS replenishment_profit,
+
+        -- *** FIX: To Order Units (Apply MOQ rounding) ***
+        CASE
+            WHEN COALESCE(ci.moq, 0) <= 1 THEN -- Treat no/invalid MOQ or MOQ=1 as no rounding needed
+                CEILING(GREATEST(0, 
+                   (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+                     + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+                     + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0)
+                ))::int
+            ELSE -- Apply MOQ rounding: Round UP to nearest multiple of MOQ
+                 (CEILING(GREATEST(0, 
+                    (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+                      + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+                      + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0)
+                 ) / NULLIF(ci.moq::numeric, 0)) * COALESCE(ci.moq, 1))::int
+        END AS to_order_units,
+
+        -- Forecast Lost Sales (Units occurring during lead time if current+on_order is insufficient)
+        CEILING(GREATEST(0,
+            ((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time) -- Demand during lead time
+            - (ci.current_stock + COALESCE(ooi.on_order_qty, 0)) -- Supply available before order arrives
+        ))::int AS forecast_lost_sales_units,
+        -- Forecast Lost Revenue
+        (CEILING(GREATEST(0, 
+            ((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+            - (ci.current_stock + COALESCE(ooi.on_order_qty, 0))
+        ))::int) * COALESCE(ci.current_price, 0.00)::numeric(12,2) AS forecast_lost_revenue,
+
+        -- Stock Cover etc (using safe velocity)
+        ci.current_stock / NULLIF((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)), 0) AS stock_cover_in_days,
+        COALESCE(ooi.on_order_qty, 0) / NULLIF((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)), 0) AS po_cover_in_days,
+        (ci.current_stock + COALESCE(ooi.on_order_qty, 0)) / NULLIF((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)), 0) AS sells_out_in_days,
+         -- Replenish Date (Project forward from 'today', which is _calculation_date + 1 day)
+        CASE
+            WHEN (COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) > 0 -- Check for positive velocity
+            THEN
+                _calculation_date + INTERVAL '1 day' -- Today
+                + FLOOR(GREATEST(0, ci.current_stock - s.effective_safety_stock) -- Stock above safety
+                        / (COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) -- divided by velocity
+                  )::integer * INTERVAL '1 day' -- Gives date safety stock is hit
+                - s.effective_lead_time * INTERVAL '1 day' -- Subtract lead time
+            ELSE NULL -- Cannot calculate if no sales velocity
+        END AS replenish_date,
+        -- Overstocked Units (Stock above safety + planning period demand)
+        GREATEST(0, ci.current_stock - s.effective_safety_stock -
+           (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time) -- Demand during lead time
+             + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock)) -- Demand during DOS
+        )::int AS overstocked_units,
+        (GREATEST(0, ci.current_stock - s.effective_safety_stock -
+           (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+             + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+        )::int) * COALESCE(ci.current_effective_cost, 0.00)::numeric(12,2) AS overstocked_cost,
+        (GREATEST(0, ci.current_stock - s.effective_safety_stock -
+           (CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_lead_time)
+             + CEILING((COALESCE(sa.sales_30d, 0) / NULLIF(GREATEST(1.0, 30.0 - COALESCE(sa.stockout_days_30d, 0)), 0)) * s.effective_days_of_stock))
+        )::int) * COALESCE(ci.current_price, 0.00)::numeric(12,2) AS overstocked_retail,
+        -- Old Stock Flag
+        (ci.created_at::date < (_calculation_date - INTERVAL '60 day')::date) AND
+        (COALESCE(ci.date_last_sold, hd.max_order_date) IS NULL OR COALESCE(ci.date_last_sold, hd.max_order_date) < (_calculation_date - INTERVAL '60 day')::date) AND
+        (hd.date_last_received_calc IS NULL OR hd.date_last_received_calc < (_calculation_date - INTERVAL '60 day')::date) AND
+        COALESCE(ooi.on_order_qty, 0) = 0 AS is_old_stock,
+        COALESCE(sa.yesterday_sales, 0) -- Sales for _calculation_date
+
+    FROM CurrentInfo ci
+    LEFT JOIN OnOrderInfo ooi ON ci.pid = ooi.pid
+    LEFT JOIN HistoricalDates hd ON ci.pid = hd.pid
+    LEFT JOIN SnapshotAggregates sa ON ci.pid = sa.pid
+    LEFT JOIN FirstPeriodMetrics fpm ON ci.pid = fpm.pid
+    LEFT JOIN Settings s ON ci.pid = s.pid
+    LEFT JOIN AvgLeadTime alt ON ci.pid = alt.pid -- Join calculated avg lead time
+    LEFT JOIN FinalABC fa ON ci.pid = fa.pid -- Join calculated ABC class
+    WHERE s.exclude_forecast IS FALSE OR s.exclude_forecast IS NULL
+
+    ON CONFLICT (pid) DO UPDATE SET
+        -- *** IMPORTANT: List ALL columns here, ensuring order matches INSERT list ***
+        -- Update ALL columns to ensure entire row is refreshed
+        last_calculated = EXCLUDED.last_calculated, sku = EXCLUDED.sku, title = EXCLUDED.title, brand = EXCLUDED.brand, vendor = EXCLUDED.vendor, image_url = EXCLUDED.image_url, is_visible = EXCLUDED.is_visible, is_replenishable = EXCLUDED.is_replenishable,
+        current_price = EXCLUDED.current_price, current_regular_price = EXCLUDED.current_regular_price, current_cost_price = EXCLUDED.current_cost_price, current_landing_cost_price = EXCLUDED.current_landing_cost_price,
+        current_stock = EXCLUDED.current_stock, current_stock_cost = EXCLUDED.current_stock_cost, current_stock_retail = EXCLUDED.current_stock_retail, current_stock_gross = EXCLUDED.current_stock_gross,
+        on_order_qty = EXCLUDED.on_order_qty, on_order_cost = EXCLUDED.on_order_cost, on_order_retail = EXCLUDED.on_order_retail, earliest_expected_date = EXCLUDED.earliest_expected_date,
+        date_created = EXCLUDED.date_created, date_first_received = EXCLUDED.date_first_received, date_last_received = EXCLUDED.date_last_received, date_first_sold = EXCLUDED.date_first_sold, date_last_sold = EXCLUDED.date_last_sold, age_days = EXCLUDED.age_days,
+        sales_7d = EXCLUDED.sales_7d, revenue_7d = EXCLUDED.revenue_7d, sales_14d = EXCLUDED.sales_14d, revenue_14d = EXCLUDED.revenue_14d, sales_30d = EXCLUDED.sales_30d, revenue_30d = EXCLUDED.revenue_30d, cogs_30d = EXCLUDED.cogs_30d, profit_30d = EXCLUDED.profit_30d,
+        returns_units_30d = EXCLUDED.returns_units_30d, returns_revenue_30d = EXCLUDED.returns_revenue_30d, discounts_30d = EXCLUDED.discounts_30d, gross_revenue_30d = EXCLUDED.gross_revenue_30d, gross_regular_revenue_30d = EXCLUDED.gross_regular_revenue_30d,
+        stockout_days_30d = EXCLUDED.stockout_days_30d, sales_365d = EXCLUDED.sales_365d, revenue_365d = EXCLUDED.revenue_365d,
+        avg_stock_units_30d = EXCLUDED.avg_stock_units_30d, avg_stock_cost_30d = EXCLUDED.avg_stock_cost_30d, avg_stock_retail_30d = EXCLUDED.avg_stock_retail_30d, avg_stock_gross_30d = EXCLUDED.avg_stock_gross_30d,
+        received_qty_30d = EXCLUDED.received_qty_30d, received_cost_30d = EXCLUDED.received_cost_30d,
+        lifetime_sales = EXCLUDED.lifetime_sales, lifetime_revenue = EXCLUDED.lifetime_revenue,
+        first_7_days_sales = EXCLUDED.first_7_days_sales, first_7_days_revenue = EXCLUDED.first_7_days_revenue, first_30_days_sales = EXCLUDED.first_30_days_sales, first_30_days_revenue = EXCLUDED.first_30_days_revenue,
+        first_60_days_sales = EXCLUDED.first_60_days_sales, first_60_days_revenue = EXCLUDED.first_60_days_revenue, first_90_days_sales = EXCLUDED.first_90_days_sales, first_90_days_revenue = EXCLUDED.first_90_days_revenue,
+        asp_30d = EXCLUDED.asp_30d, acp_30d = EXCLUDED.acp_30d, avg_ros_30d = EXCLUDED.avg_ros_30d, avg_sales_per_day_30d = EXCLUDED.avg_sales_per_day_30d, 
+        margin_30d = EXCLUDED.margin_30d, markup_30d = EXCLUDED.markup_30d, gmroi_30d = EXCLUDED.gmroi_30d, stockturn_30d = EXCLUDED.stockturn_30d, return_rate_30d = EXCLUDED.return_rate_30d, discount_rate_30d = EXCLUDED.discount_rate_30d,
+        stockout_rate_30d = EXCLUDED.stockout_rate_30d, markdown_30d = EXCLUDED.markdown_30d, markdown_rate_30d = EXCLUDED.markdown_rate_30d, sell_through_30d = EXCLUDED.sell_through_30d,
+        avg_lead_time_days = EXCLUDED.avg_lead_time_days, abc_class = EXCLUDED.abc_class,
+        sales_velocity_daily = EXCLUDED.sales_velocity_daily, config_lead_time = EXCLUDED.config_lead_time, config_days_of_stock = EXCLUDED.config_days_of_stock, config_safety_stock = EXCLUDED.config_safety_stock,
+        planning_period_days = EXCLUDED.planning_period_days, lead_time_forecast_units = EXCLUDED.lead_time_forecast_units, days_of_stock_forecast_units = EXCLUDED.days_of_stock_forecast_units,
+        planning_period_forecast_units = EXCLUDED.planning_period_forecast_units, lead_time_closing_stock = EXCLUDED.lead_time_closing_stock, days_of_stock_closing_stock = EXCLUDED.days_of_stock_closing_stock,
+        replenishment_needed_raw = EXCLUDED.replenishment_needed_raw, replenishment_units = EXCLUDED.replenishment_units, replenishment_cost = EXCLUDED.replenishment_cost, replenishment_retail = EXCLUDED.replenishment_retail, replenishment_profit = EXCLUDED.replenishment_profit,
+        to_order_units = EXCLUDED.to_order_units, -- *** Update to use EXCLUDED ***
+        forecast_lost_sales_units = EXCLUDED.forecast_lost_sales_units, forecast_lost_revenue = EXCLUDED.forecast_lost_revenue,
+        stock_cover_in_days = EXCLUDED.stock_cover_in_days, po_cover_in_days = EXCLUDED.po_cover_in_days, sells_out_in_days = EXCLUDED.sells_out_in_days, replenish_date = EXCLUDED.replenish_date,
+        overstocked_units = EXCLUDED.overstocked_units, overstocked_cost = EXCLUDED.overstocked_cost, overstocked_retail = EXCLUDED.overstocked_retail, is_old_stock = EXCLUDED.is_old_stock,
+        yesterday_sales = EXCLUDED.yesterday_sales;
+    RAISE NOTICE 'Finished % module. Duration: %', _module_name, clock_timestamp() - _start_time;
+END $$;

inventory-server/scripts/metrics-new/backfill/rebuild_daily_snapshots.sql

@@ -0,0 +1,152 @@
+-- Description: Rebuilds daily product snapshots from scratch using real orders data.
+--              Fixes issues with duplicated/inflated metrics.
+-- Dependencies: Core import tables (products, orders, receivings).
+-- Frequency: One-time run to clear out problematic data.
+
+DO $$
+DECLARE
+    _module_name TEXT := 'rebuild_daily_snapshots';
+    _start_time TIMESTAMPTZ := clock_timestamp();
+    _date DATE;
+    _count INT;
+    _total_records INT := 0;
+    _begin_date DATE := (SELECT MIN(date)::date FROM orders WHERE date >= '2024-01-01'); -- Starting point for data rebuild
+    _end_date DATE := CURRENT_DATE;
+BEGIN
+    RAISE NOTICE 'Beginning daily snapshots rebuild from % to %. Starting at %', _begin_date, _end_date, _start_time;
+
+    -- First truncate the existing snapshots to ensure a clean slate
+    TRUNCATE TABLE public.daily_product_snapshots;
+    RAISE NOTICE 'Cleared existing snapshot data';
+    
+    -- Now rebuild the snapshots day by day
+    _date := _begin_date;
+    
+    WHILE _date <= _end_date LOOP
+        RAISE NOTICE 'Processing date %...', _date;
+        
+        -- Create snapshots for this date
+        WITH SalesData AS (
+            SELECT
+                p.pid,
+                p.sku,
+                -- Count orders to ensure we only include products with real activity
+                COUNT(o.id) as order_count,
+                -- Aggregate Sales (Quantity > 0, Status not Canceled/Returned)
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.quantity ELSE 0 END), 0) AS units_sold,
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.price * o.quantity ELSE 0 END), 0.00) AS gross_revenue_unadjusted,
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.discount ELSE 0 END), 0.00) AS discounts,
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN COALESCE(o.costeach, p.landing_cost_price, p.cost_price) * o.quantity ELSE 0 END), 0.00) AS cogs,
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN p.regular_price * o.quantity ELSE 0 END), 0.00) AS gross_regular_revenue,
+
+                -- Aggregate Returns (Quantity < 0 or Status = Returned)
+                COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN ABS(o.quantity) ELSE 0 END), 0) AS units_returned,
+                COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN o.price * ABS(o.quantity) ELSE 0 END), 0.00) AS returns_revenue
+            FROM public.products p
+            LEFT JOIN public.orders o
+                ON p.pid = o.pid
+               AND o.date::date = _date
+            GROUP BY p.pid, p.sku
+            HAVING COUNT(o.id) > 0 -- Only include products with actual orders for this date
+        ),
+        ReceivingData AS (
+            SELECT
+                r.pid,
+                -- Count receiving documents to ensure we only include products with real activity
+                COUNT(DISTINCT r.receiving_id) as receiving_count,
+                -- Calculate received quantity for this day
+                SUM(r.qty_each) AS units_received,
+                -- Calculate received cost for this day
+                SUM(r.qty_each * r.cost_each) AS cost_received
+            FROM public.receivings r
+            WHERE r.received_date::date = _date
+            GROUP BY r.pid
+            HAVING COUNT(DISTINCT r.receiving_id) > 0 OR SUM(r.qty_each) > 0
+        ),
+        -- Get stock quantities for the day - note this is approximate since we're using current products data
+        StockData AS (
+            SELECT
+                p.pid,
+                p.stock_quantity,
+                COALESCE(p.landing_cost_price, p.cost_price, 0.00) as effective_cost_price,
+                COALESCE(p.price, 0.00) as current_price,
+                COALESCE(p.regular_price, 0.00) as current_regular_price
+            FROM public.products p
+        )
+        INSERT INTO public.daily_product_snapshots (
+            snapshot_date,
+            pid,
+            sku,
+            eod_stock_quantity,
+            eod_stock_cost,
+            eod_stock_retail,
+            eod_stock_gross,
+            stockout_flag,
+            units_sold,
+            units_returned,
+            gross_revenue,
+            discounts,
+            returns_revenue,
+            net_revenue,
+            cogs,
+            gross_regular_revenue,
+            profit,
+            units_received,
+            cost_received,
+            calculation_timestamp
+        )
+        SELECT
+            _date AS snapshot_date,
+            COALESCE(sd.pid, rd.pid) AS pid,
+            sd.sku,
+            -- Use current stock as approximation, since historical stock data may not be available
+            s.stock_quantity AS eod_stock_quantity,
+            s.stock_quantity * s.effective_cost_price AS eod_stock_cost,
+            s.stock_quantity * s.current_price AS eod_stock_retail,
+            s.stock_quantity * s.current_regular_price AS eod_stock_gross,
+            (s.stock_quantity <= 0) AS stockout_flag,
+            -- Sales metrics
+            COALESCE(sd.units_sold, 0),
+            COALESCE(sd.units_returned, 0),
+            COALESCE(sd.gross_revenue_unadjusted, 0.00),
+            COALESCE(sd.discounts, 0.00),
+            COALESCE(sd.returns_revenue, 0.00),
+            COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00) AS net_revenue,
+            COALESCE(sd.cogs, 0.00),
+            COALESCE(sd.gross_regular_revenue, 0.00),
+            (COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00)) - COALESCE(sd.cogs, 0.00) AS profit,
+            -- Receiving metrics
+            COALESCE(rd.units_received, 0),
+            COALESCE(rd.cost_received, 0.00),
+            _start_time
+        FROM SalesData sd
+        FULL OUTER JOIN ReceivingData rd ON sd.pid = rd.pid
+        LEFT JOIN StockData s ON COALESCE(sd.pid, rd.pid) = s.pid
+        WHERE (COALESCE(sd.order_count, 0) > 0 OR COALESCE(rd.receiving_count, 0) > 0);
+        
+        -- Get record count for this day
+        GET DIAGNOSTICS _count = ROW_COUNT;
+        _total_records := _total_records + _count;
+        
+        RAISE NOTICE 'Added % snapshot records for date %', _count, _date;
+        
+        -- Move to next day
+        _date := _date + INTERVAL '1 day';
+    END LOOP;
+    
+    RAISE NOTICE 'Rebuilding daily snapshots complete. Added % total records across % days.', _total_records, (_end_date - _begin_date)::integer + 1;
+    
+    -- Update the status table for daily_snapshots
+    INSERT INTO public.calculate_status (module_name, last_calculation_timestamp)
+    VALUES ('daily_snapshots', _start_time)
+    ON CONFLICT (module_name) DO UPDATE SET last_calculation_timestamp = _start_time;
+    
+    -- Now update product_metrics based on the rebuilt snapshots
+    RAISE NOTICE 'Triggering update of product_metrics table...';
+    
+    -- Call the update_product_metrics procedure directly
+    -- Your system might use a different method to trigger this update
+    PERFORM pg_notify('recalculate_metrics', 'product_metrics');
+    
+    RAISE NOTICE 'Rebuild complete. Duration: %', clock_timestamp() - _start_time;
+END $$; 

inventory-server/scripts/metrics-new/calculate_brand_metrics.sql

@@ -0,0 +1,156 @@
+-- Description: Calculates and updates aggregated metrics per brand.
+-- Dependencies: product_metrics, products, calculate_status table.
+-- Frequency: Daily (after product_metrics update).
+
+DO $$
+DECLARE
+    _module_name VARCHAR := 'brand_metrics';
+    _start_time TIMESTAMPTZ := clock_timestamp();
+    _min_revenue NUMERIC := 50.00; -- Minimum revenue threshold for margin calculation
+BEGIN
+    RAISE NOTICE 'Running % calculation...', _module_name;
+
+    WITH BrandAggregates AS (
+        -- Aggregate metrics from product_metrics table per brand
+        SELECT
+            COALESCE(p.brand, 'Unbranded') AS brand_group, -- Group NULL/empty brands together
+            COUNT(DISTINCT pm.pid) AS product_count,
+            COUNT(DISTINCT CASE WHEN pm.is_visible THEN pm.pid END) AS active_product_count,
+            COUNT(DISTINCT CASE WHEN pm.is_replenishable THEN pm.pid END) AS replenishable_product_count,
+            SUM(pm.current_stock) AS current_stock_units,
+            SUM(pm.current_stock_cost) AS current_stock_cost,
+            SUM(pm.current_stock_retail) AS current_stock_retail,
+            -- Only include products with valid sales data in each time period
+            COUNT(DISTINCT CASE WHEN pm.sales_7d > 0 THEN pm.pid END) AS products_with_sales_7d,
+            SUM(CASE WHEN pm.sales_7d > 0 THEN pm.sales_7d ELSE 0 END) AS sales_7d,
+            SUM(CASE WHEN pm.revenue_7d > 0 THEN pm.revenue_7d ELSE 0 END) AS revenue_7d,
+            
+            COUNT(DISTINCT CASE WHEN pm.sales_30d > 0 THEN pm.pid END) AS products_with_sales_30d,
+            SUM(CASE WHEN pm.sales_30d > 0 THEN pm.sales_30d ELSE 0 END) AS sales_30d,
+            SUM(CASE WHEN pm.revenue_30d > 0 THEN pm.revenue_30d ELSE 0 END) AS revenue_30d,
+            SUM(CASE WHEN pm.cogs_30d > 0 THEN pm.cogs_30d ELSE 0 END) AS cogs_30d,
+            SUM(CASE WHEN pm.profit_30d != 0 THEN pm.profit_30d ELSE 0 END) AS profit_30d,
+            
+            COUNT(DISTINCT CASE WHEN pm.sales_365d > 0 THEN pm.pid END) AS products_with_sales_365d,
+            SUM(CASE WHEN pm.sales_365d > 0 THEN pm.sales_365d ELSE 0 END) AS sales_365d,
+            SUM(CASE WHEN pm.revenue_365d > 0 THEN pm.revenue_365d ELSE 0 END) AS revenue_365d,
+            
+            COUNT(DISTINCT CASE WHEN pm.lifetime_sales > 0 THEN pm.pid END) AS products_with_lifetime_sales,
+            SUM(CASE WHEN pm.lifetime_sales > 0 THEN pm.lifetime_sales ELSE 0 END) AS lifetime_sales,
+            SUM(CASE WHEN pm.lifetime_revenue > 0 THEN pm.lifetime_revenue ELSE 0 END) AS lifetime_revenue
+        FROM public.product_metrics pm
+        JOIN public.products p ON pm.pid = p.pid
+        GROUP BY brand_group
+    ),
+    PreviousPeriodBrandMetrics AS (
+        -- Get previous period metrics for growth calculation
+        SELECT
+            COALESCE(p.brand, 'Unbranded') AS brand_group,
+            SUM(CASE WHEN dps.snapshot_date >= CURRENT_DATE - INTERVAL '59 days' 
+                     AND dps.snapshot_date < CURRENT_DATE - INTERVAL '29 days' 
+                THEN dps.units_sold ELSE 0 END) AS sales_prev_30d,
+            SUM(CASE WHEN dps.snapshot_date >= CURRENT_DATE - INTERVAL '59 days' 
+                     AND dps.snapshot_date < CURRENT_DATE - INTERVAL '29 days' 
+                THEN dps.net_revenue ELSE 0 END) AS revenue_prev_30d
+        FROM public.daily_product_snapshots dps
+        JOIN public.products p ON dps.pid = p.pid
+        GROUP BY brand_group
+    ),
+    AllBrands AS (
+         -- Ensure all brands from products table are included, mapping NULL/empty to 'Unbranded'
+        SELECT DISTINCT COALESCE(brand, 'Unbranded') as brand_group
+        FROM public.products
+    )
+    INSERT INTO public.brand_metrics (
+        brand_name, last_calculated,
+        product_count, active_product_count, replenishable_product_count,
+        current_stock_units, current_stock_cost, current_stock_retail,
+        sales_7d, revenue_7d, sales_30d, revenue_30d, profit_30d, cogs_30d,
+        sales_365d, revenue_365d, lifetime_sales, lifetime_revenue,
+        avg_margin_30d,
+        sales_growth_30d_vs_prev, revenue_growth_30d_vs_prev
+    )
+    SELECT
+        b.brand_group,
+        _start_time,
+        -- Base Aggregates
+        COALESCE(ba.product_count, 0),
+        COALESCE(ba.active_product_count, 0),
+        COALESCE(ba.replenishable_product_count, 0),
+        COALESCE(ba.current_stock_units, 0),
+        COALESCE(ba.current_stock_cost, 0.00),
+        COALESCE(ba.current_stock_retail, 0.00),
+        -- Sales Aggregates
+        COALESCE(ba.sales_7d, 0), COALESCE(ba.revenue_7d, 0.00),
+        COALESCE(ba.sales_30d, 0), COALESCE(ba.revenue_30d, 0.00),
+        COALESCE(ba.profit_30d, 0.00), COALESCE(ba.cogs_30d, 0.00),
+        COALESCE(ba.sales_365d, 0), COALESCE(ba.revenue_365d, 0.00),
+        COALESCE(ba.lifetime_sales, 0), COALESCE(ba.lifetime_revenue, 0.00),
+        -- KPIs - Calculate margin only for brands with significant revenue
+        CASE
+            WHEN COALESCE(ba.revenue_30d, 0) >= _min_revenue THEN
+                -- Directly calculate margin from revenue and cogs for consistency
+                -- This is mathematically equivalent to profit/revenue but more explicit
+                ((COALESCE(ba.revenue_30d, 0) - COALESCE(ba.cogs_30d, 0)) / COALESCE(ba.revenue_30d, 1)) * 100.0
+            ELSE NULL -- No margin for low/no revenue brands
+        END,
+        -- Growth metrics
+        std_numeric(safe_divide((ba.sales_30d - ppbm.sales_prev_30d) * 100.0, ppbm.sales_prev_30d), 2),
+        std_numeric(safe_divide((ba.revenue_30d - ppbm.revenue_prev_30d) * 100.0, ppbm.revenue_prev_30d), 2)
+    FROM AllBrands b
+    LEFT JOIN BrandAggregates ba ON b.brand_group = ba.brand_group
+    LEFT JOIN PreviousPeriodBrandMetrics ppbm ON b.brand_group = ppbm.brand_group
+
+    ON CONFLICT (brand_name) DO UPDATE SET
+        last_calculated = EXCLUDED.last_calculated,
+        product_count = EXCLUDED.product_count,
+        active_product_count = EXCLUDED.active_product_count,
+        replenishable_product_count = EXCLUDED.replenishable_product_count,
+        current_stock_units = EXCLUDED.current_stock_units,
+        current_stock_cost = EXCLUDED.current_stock_cost,
+        current_stock_retail = EXCLUDED.current_stock_retail,
+        sales_7d = EXCLUDED.sales_7d, revenue_7d = EXCLUDED.revenue_7d,
+        sales_30d = EXCLUDED.sales_30d, revenue_30d = EXCLUDED.revenue_30d,
+        profit_30d = EXCLUDED.profit_30d, cogs_30d = EXCLUDED.cogs_30d,
+        sales_365d = EXCLUDED.sales_365d, revenue_365d = EXCLUDED.revenue_365d,
+        lifetime_sales = EXCLUDED.lifetime_sales, lifetime_revenue = EXCLUDED.lifetime_revenue,
+        avg_margin_30d = EXCLUDED.avg_margin_30d,
+        sales_growth_30d_vs_prev = EXCLUDED.sales_growth_30d_vs_prev,
+        revenue_growth_30d_vs_prev = EXCLUDED.revenue_growth_30d_vs_prev
+    WHERE -- Only update if at least one value has changed
+        brand_metrics.product_count IS DISTINCT FROM EXCLUDED.product_count OR
+        brand_metrics.active_product_count IS DISTINCT FROM EXCLUDED.active_product_count OR
+        brand_metrics.current_stock_units IS DISTINCT FROM EXCLUDED.current_stock_units OR
+        brand_metrics.sales_30d IS DISTINCT FROM EXCLUDED.sales_30d OR
+        brand_metrics.revenue_30d IS DISTINCT FROM EXCLUDED.revenue_30d OR
+        brand_metrics.lifetime_sales IS DISTINCT FROM EXCLUDED.lifetime_sales;
+
+    -- Update calculate_status
+    INSERT INTO public.calculate_status (module_name, last_calculation_timestamp)
+    VALUES (_module_name, _start_time)
+    ON CONFLICT (module_name) DO UPDATE SET last_calculation_timestamp = _start_time;
+
+    RAISE NOTICE 'Finished % calculation. Duration: %', _module_name, clock_timestamp() - _start_time;
+END $$;
+
+-- Return metrics about the update operation for tracking
+WITH update_stats AS (
+    SELECT 
+        COUNT(*) as total_brands,
+        COUNT(*) FILTER (WHERE last_calculated >= NOW() - INTERVAL '5 minutes') as rows_processed,
+        SUM(product_count) as total_products,
+        SUM(active_product_count) as total_active_products,
+        SUM(sales_30d) as total_sales_30d,
+        SUM(revenue_30d) as total_revenue_30d,
+        AVG(avg_margin_30d) as overall_avg_margin_30d
+    FROM public.brand_metrics
+)
+SELECT 
+    rows_processed,
+    total_brands,
+    total_products::int,
+    total_active_products::int,
+    total_sales_30d::int,
+    ROUND(total_revenue_30d, 2) as total_revenue_30d,
+    ROUND(overall_avg_margin_30d, 2) as overall_avg_margin_30d
+FROM update_stats;

inventory-server/scripts/metrics-new/calculate_category_metrics.sql

@@ -0,0 +1,239 @@
+-- Description: Calculates and updates aggregated metrics per category with hierarchy rollups.
+-- Dependencies: product_metrics, products, categories, product_categories, category_hierarchy, calculate_status table.
+-- Frequency: Daily (after product_metrics update).
+
+DO $$
+DECLARE
+    _module_name VARCHAR := 'category_metrics';
+    _start_time TIMESTAMPTZ := clock_timestamp();
+    _min_revenue NUMERIC := 50.00; -- Minimum revenue threshold for margin calculation
+BEGIN
+    RAISE NOTICE 'Running % calculation...', _module_name;
+    
+    -- Refresh the category hierarchy materialized view first
+    REFRESH MATERIALIZED VIEW CONCURRENTLY category_hierarchy;
+
+    -- First calculate direct metrics (products directly in each category)
+    WITH DirectCategoryMetrics AS (
+        SELECT
+            pc.cat_id,
+            COUNT(DISTINCT pm.pid) AS product_count,
+            COUNT(DISTINCT CASE WHEN pm.is_visible THEN pm.pid END) AS active_product_count,
+            COUNT(DISTINCT CASE WHEN pm.is_replenishable THEN pm.pid END) AS replenishable_product_count,
+            SUM(pm.current_stock) AS current_stock_units,
+            SUM(pm.current_stock_cost) AS current_stock_cost,
+            SUM(pm.current_stock_retail) AS current_stock_retail,
+            -- Sales metrics with proper filtering
+            SUM(CASE WHEN pm.sales_7d > 0 THEN pm.sales_7d ELSE 0 END) AS sales_7d,
+            SUM(CASE WHEN pm.revenue_7d > 0 THEN pm.revenue_7d ELSE 0 END) AS revenue_7d,
+            SUM(CASE WHEN pm.sales_30d > 0 THEN pm.sales_30d ELSE 0 END) AS sales_30d,
+            SUM(CASE WHEN pm.revenue_30d > 0 THEN pm.revenue_30d ELSE 0 END) AS revenue_30d,
+            SUM(CASE WHEN pm.cogs_30d > 0 THEN pm.cogs_30d ELSE 0 END) AS cogs_30d,
+            SUM(CASE WHEN pm.profit_30d != 0 THEN pm.profit_30d ELSE 0 END) AS profit_30d,
+            SUM(CASE WHEN pm.sales_365d > 0 THEN pm.sales_365d ELSE 0 END) AS sales_365d,
+            SUM(CASE WHEN pm.revenue_365d > 0 THEN pm.revenue_365d ELSE 0 END) AS revenue_365d,
+            SUM(CASE WHEN pm.lifetime_sales > 0 THEN pm.lifetime_sales ELSE 0 END) AS lifetime_sales,
+            SUM(CASE WHEN pm.lifetime_revenue > 0 THEN pm.lifetime_revenue ELSE 0 END) AS lifetime_revenue
+        FROM public.product_categories pc
+        JOIN public.product_metrics pm ON pc.pid = pm.pid
+        GROUP BY pc.cat_id
+    ),
+    -- Calculate rolled-up metrics (including all descendant categories)
+    RolledUpMetrics AS (
+        SELECT
+            ch.cat_id,
+            -- Sum metrics from this category and all its descendants
+            SUM(dcm.product_count) AS product_count,
+            SUM(dcm.active_product_count) AS active_product_count,
+            SUM(dcm.replenishable_product_count) AS replenishable_product_count,
+            SUM(dcm.current_stock_units) AS current_stock_units,
+            SUM(dcm.current_stock_cost) AS current_stock_cost,
+            SUM(dcm.current_stock_retail) AS current_stock_retail,
+            SUM(dcm.sales_7d) AS sales_7d,
+            SUM(dcm.revenue_7d) AS revenue_7d,
+            SUM(dcm.sales_30d) AS sales_30d,
+            SUM(dcm.revenue_30d) AS revenue_30d,
+            SUM(dcm.cogs_30d) AS cogs_30d,
+            SUM(dcm.profit_30d) AS profit_30d,
+            SUM(dcm.sales_365d) AS sales_365d,
+            SUM(dcm.revenue_365d) AS revenue_365d,
+            SUM(dcm.lifetime_sales) AS lifetime_sales,
+            SUM(dcm.lifetime_revenue) AS lifetime_revenue
+        FROM category_hierarchy ch
+        LEFT JOIN DirectCategoryMetrics dcm ON 
+            dcm.cat_id = ch.cat_id OR 
+            dcm.cat_id = ANY(SELECT cat_id FROM category_hierarchy WHERE ch.cat_id = ANY(ancestor_ids))
+        GROUP BY ch.cat_id
+    ),
+    PreviousPeriodCategoryMetrics AS (
+        -- Get previous period metrics for growth calculation
+        SELECT
+            pc.cat_id,
+            SUM(CASE WHEN dps.snapshot_date >= CURRENT_DATE - INTERVAL '59 days' 
+                     AND dps.snapshot_date < CURRENT_DATE - INTERVAL '29 days' 
+                THEN dps.units_sold ELSE 0 END) AS sales_prev_30d,
+            SUM(CASE WHEN dps.snapshot_date >= CURRENT_DATE - INTERVAL '59 days' 
+                     AND dps.snapshot_date < CURRENT_DATE - INTERVAL '29 days' 
+                THEN dps.net_revenue ELSE 0 END) AS revenue_prev_30d
+        FROM public.daily_product_snapshots dps
+        JOIN public.product_categories pc ON dps.pid = pc.pid
+        GROUP BY pc.cat_id
+    ),
+    RolledUpPreviousPeriod AS (
+        -- Calculate rolled-up previous period metrics
+        SELECT
+            ch.cat_id,
+            SUM(ppcm.sales_prev_30d) AS sales_prev_30d,
+            SUM(ppcm.revenue_prev_30d) AS revenue_prev_30d
+        FROM category_hierarchy ch
+        LEFT JOIN PreviousPeriodCategoryMetrics ppcm ON 
+            ppcm.cat_id = ch.cat_id OR 
+            ppcm.cat_id = ANY(SELECT cat_id FROM category_hierarchy WHERE ch.cat_id = ANY(ancestor_ids))
+        GROUP BY ch.cat_id
+    ),
+    AllCategories AS (
+        -- Ensure all categories are included
+        SELECT 
+            c.cat_id,
+            c.name,
+            c.type,
+            c.parent_id
+        FROM public.categories c
+        WHERE c.status = 'active'
+    )
+    INSERT INTO public.category_metrics (
+        category_id, category_name, category_type, parent_id, last_calculated,
+        -- Rolled-up metrics
+        product_count, active_product_count, replenishable_product_count,
+        current_stock_units, current_stock_cost, current_stock_retail,
+        sales_7d, revenue_7d, sales_30d, revenue_30d, profit_30d, cogs_30d,
+        sales_365d, revenue_365d, lifetime_sales, lifetime_revenue,
+        -- Direct metrics
+        direct_product_count, direct_active_product_count, direct_replenishable_product_count,
+        direct_current_stock_units, direct_stock_cost, direct_stock_retail,
+        direct_sales_7d, direct_revenue_7d, direct_sales_30d, direct_revenue_30d,
+        direct_profit_30d, direct_cogs_30d, direct_sales_365d, direct_revenue_365d,
+        direct_lifetime_sales, direct_lifetime_revenue,
+        -- KPIs
+        avg_margin_30d,
+        sales_growth_30d_vs_prev, revenue_growth_30d_vs_prev
+    )
+    SELECT
+        ac.cat_id,
+        ac.name,
+        ac.type,
+        ac.parent_id,
+        _start_time,
+        -- Rolled-up metrics (includes descendants)
+        COALESCE(rum.product_count, 0),
+        COALESCE(rum.active_product_count, 0),
+        COALESCE(rum.replenishable_product_count, 0),
+        COALESCE(rum.current_stock_units, 0),
+        COALESCE(rum.current_stock_cost, 0.00),
+        COALESCE(rum.current_stock_retail, 0.00),
+        COALESCE(rum.sales_7d, 0), COALESCE(rum.revenue_7d, 0.00),
+        COALESCE(rum.sales_30d, 0), COALESCE(rum.revenue_30d, 0.00),
+        COALESCE(rum.profit_30d, 0.00), COALESCE(rum.cogs_30d, 0.00),
+        COALESCE(rum.sales_365d, 0), COALESCE(rum.revenue_365d, 0.00),
+        COALESCE(rum.lifetime_sales, 0), COALESCE(rum.lifetime_revenue, 0.00),
+        -- Direct metrics (only this category)
+        COALESCE(dcm.product_count, 0),
+        COALESCE(dcm.active_product_count, 0),
+        COALESCE(dcm.replenishable_product_count, 0),
+        COALESCE(dcm.current_stock_units, 0),
+        COALESCE(dcm.current_stock_cost, 0.00),
+        COALESCE(dcm.current_stock_retail, 0.00),
+        COALESCE(dcm.sales_7d, 0), COALESCE(dcm.revenue_7d, 0.00),
+        COALESCE(dcm.sales_30d, 0), COALESCE(dcm.revenue_30d, 0.00),
+        COALESCE(dcm.profit_30d, 0.00), COALESCE(dcm.cogs_30d, 0.00),
+        COALESCE(dcm.sales_365d, 0), COALESCE(dcm.revenue_365d, 0.00),
+        COALESCE(dcm.lifetime_sales, 0), COALESCE(dcm.lifetime_revenue, 0.00),
+        -- KPIs - Calculate margin only for categories with significant revenue
+        CASE
+            WHEN COALESCE(rum.revenue_30d, 0) >= _min_revenue THEN
+                ((COALESCE(rum.revenue_30d, 0) - COALESCE(rum.cogs_30d, 0)) / COALESCE(rum.revenue_30d, 1)) * 100.0
+            ELSE NULL
+        END,
+        -- Growth metrics for rolled-up values
+        std_numeric(safe_divide((rum.sales_30d - rupp.sales_prev_30d) * 100.0, rupp.sales_prev_30d), 2),
+        std_numeric(safe_divide((rum.revenue_30d - rupp.revenue_prev_30d) * 100.0, rupp.revenue_prev_30d), 2)
+    FROM AllCategories ac
+    LEFT JOIN DirectCategoryMetrics dcm ON ac.cat_id = dcm.cat_id
+    LEFT JOIN RolledUpMetrics rum ON ac.cat_id = rum.cat_id
+    LEFT JOIN RolledUpPreviousPeriod rupp ON ac.cat_id = rupp.cat_id
+
+    ON CONFLICT (category_id) DO UPDATE SET
+        last_calculated = EXCLUDED.last_calculated,
+        category_name = EXCLUDED.category_name,
+        category_type = EXCLUDED.category_type,
+        parent_id = EXCLUDED.parent_id,
+        -- Rolled-up metrics
+        product_count = EXCLUDED.product_count,
+        active_product_count = EXCLUDED.active_product_count,
+        replenishable_product_count = EXCLUDED.replenishable_product_count,
+        current_stock_units = EXCLUDED.current_stock_units,
+        current_stock_cost = EXCLUDED.current_stock_cost,
+        current_stock_retail = EXCLUDED.current_stock_retail,
+        sales_7d = EXCLUDED.sales_7d, revenue_7d = EXCLUDED.revenue_7d,
+        sales_30d = EXCLUDED.sales_30d, revenue_30d = EXCLUDED.revenue_30d,
+        profit_30d = EXCLUDED.profit_30d, cogs_30d = EXCLUDED.cogs_30d,
+        sales_365d = EXCLUDED.sales_365d, revenue_365d = EXCLUDED.revenue_365d,
+        lifetime_sales = EXCLUDED.lifetime_sales, lifetime_revenue = EXCLUDED.lifetime_revenue,
+        -- Direct metrics
+        direct_product_count = EXCLUDED.direct_product_count,
+        direct_active_product_count = EXCLUDED.direct_active_product_count,
+        direct_replenishable_product_count = EXCLUDED.direct_replenishable_product_count,
+        direct_current_stock_units = EXCLUDED.direct_current_stock_units,
+        direct_stock_cost = EXCLUDED.direct_stock_cost,
+        direct_stock_retail = EXCLUDED.direct_stock_retail,
+        direct_sales_7d = EXCLUDED.direct_sales_7d, direct_revenue_7d = EXCLUDED.direct_revenue_7d,
+        direct_sales_30d = EXCLUDED.direct_sales_30d, direct_revenue_30d = EXCLUDED.direct_revenue_30d,
+        direct_profit_30d = EXCLUDED.direct_profit_30d, direct_cogs_30d = EXCLUDED.direct_cogs_30d,
+        direct_sales_365d = EXCLUDED.direct_sales_365d, direct_revenue_365d = EXCLUDED.direct_revenue_365d,
+        direct_lifetime_sales = EXCLUDED.direct_lifetime_sales, direct_lifetime_revenue = EXCLUDED.direct_lifetime_revenue,
+        avg_margin_30d = EXCLUDED.avg_margin_30d,
+        sales_growth_30d_vs_prev = EXCLUDED.sales_growth_30d_vs_prev,
+        revenue_growth_30d_vs_prev = EXCLUDED.revenue_growth_30d_vs_prev
+    WHERE -- Only update if at least one value has changed
+        category_metrics.product_count IS DISTINCT FROM EXCLUDED.product_count OR
+        category_metrics.active_product_count IS DISTINCT FROM EXCLUDED.active_product_count OR
+        category_metrics.current_stock_units IS DISTINCT FROM EXCLUDED.current_stock_units OR
+        category_metrics.sales_30d IS DISTINCT FROM EXCLUDED.sales_30d OR
+        category_metrics.revenue_30d IS DISTINCT FROM EXCLUDED.revenue_30d OR
+        category_metrics.lifetime_sales IS DISTINCT FROM EXCLUDED.lifetime_sales OR
+        category_metrics.direct_product_count IS DISTINCT FROM EXCLUDED.direct_product_count OR
+        category_metrics.direct_sales_30d IS DISTINCT FROM EXCLUDED.direct_sales_30d;
+
+    -- Update calculate_status
+    INSERT INTO public.calculate_status (module_name, last_calculation_timestamp)
+    VALUES (_module_name, _start_time)
+    ON CONFLICT (module_name) DO UPDATE SET last_calculation_timestamp = _start_time;
+
+    RAISE NOTICE 'Finished % calculation. Duration: %', _module_name, clock_timestamp() - _start_time;
+END $$;
+
+-- Return metrics about the update operation for tracking
+WITH update_stats AS (
+    SELECT 
+        COUNT(*) as total_categories,
+        COUNT(*) FILTER (WHERE last_calculated >= NOW() - INTERVAL '5 minutes') as rows_processed,
+        COUNT(*) FILTER (WHERE category_type = 10) as sections,
+        COUNT(*) FILTER (WHERE category_type = 11) as categories,
+        COUNT(*) FILTER (WHERE category_type = 12) as subcategories,
+        SUM(product_count) as total_products_rolled,
+        SUM(direct_product_count) as total_products_direct,
+        SUM(sales_30d) as total_sales_30d,
+        SUM(revenue_30d) as total_revenue_30d
+    FROM public.category_metrics
+)
+SELECT 
+    rows_processed,
+    total_categories,
+    sections,
+    categories,
+    subcategories,
+    total_products_rolled::int,
+    total_products_direct::int,
+    total_sales_30d::int,
+    ROUND(total_revenue_30d, 2) as total_revenue_30d
+FROM update_stats;

inventory-server/scripts/metrics-new/calculate_vendor_metrics.sql

@@ -0,0 +1,185 @@
+-- Description: Calculates and updates aggregated metrics per vendor.
+-- Dependencies: product_metrics, products, purchase_orders, calculate_status table.
+-- Frequency: Daily (after product_metrics update).
+
+DO $$
+DECLARE
+    _module_name VARCHAR := 'vendor_metrics';
+    _start_time TIMESTAMPTZ := clock_timestamp();
+BEGIN
+    RAISE NOTICE 'Running % calculation...', _module_name;
+
+    WITH VendorProductAggregates AS (
+        -- Aggregate metrics from product_metrics table per vendor
+        SELECT
+            p.vendor,
+            COUNT(DISTINCT pm.pid) AS product_count,
+            COUNT(DISTINCT CASE WHEN pm.is_visible THEN pm.pid END) AS active_product_count,
+            COUNT(DISTINCT CASE WHEN pm.is_replenishable THEN pm.pid END) AS replenishable_product_count,
+            SUM(pm.current_stock) AS current_stock_units,
+            SUM(pm.current_stock_cost) AS current_stock_cost,
+            SUM(pm.current_stock_retail) AS current_stock_retail,
+            SUM(pm.on_order_qty) AS on_order_units,
+            SUM(pm.on_order_cost) AS on_order_cost,
+            -- Only include products with valid sales data in each time period
+            COUNT(DISTINCT CASE WHEN pm.sales_7d > 0 THEN pm.pid END) AS products_with_sales_7d,
+            SUM(CASE WHEN pm.sales_7d > 0 THEN pm.sales_7d ELSE 0 END) AS sales_7d,
+            SUM(CASE WHEN pm.revenue_7d > 0 THEN pm.revenue_7d ELSE 0 END) AS revenue_7d,
+            
+            COUNT(DISTINCT CASE WHEN pm.sales_30d > 0 THEN pm.pid END) AS products_with_sales_30d,
+            SUM(CASE WHEN pm.sales_30d > 0 THEN pm.sales_30d ELSE 0 END) AS sales_30d,
+            SUM(CASE WHEN pm.revenue_30d > 0 THEN pm.revenue_30d ELSE 0 END) AS revenue_30d,
+            SUM(CASE WHEN pm.cogs_30d > 0 THEN pm.cogs_30d ELSE 0 END) AS cogs_30d,
+            SUM(CASE WHEN pm.profit_30d != 0 THEN pm.profit_30d ELSE 0 END) AS profit_30d,
+            
+            COUNT(DISTINCT CASE WHEN pm.sales_365d > 0 THEN pm.pid END) AS products_with_sales_365d,
+            SUM(CASE WHEN pm.sales_365d > 0 THEN pm.sales_365d ELSE 0 END) AS sales_365d,
+            SUM(CASE WHEN pm.revenue_365d > 0 THEN pm.revenue_365d ELSE 0 END) AS revenue_365d,
+            
+            COUNT(DISTINCT CASE WHEN pm.lifetime_sales > 0 THEN pm.pid END) AS products_with_lifetime_sales,
+            SUM(CASE WHEN pm.lifetime_sales > 0 THEN pm.lifetime_sales ELSE 0 END) AS lifetime_sales,
+            SUM(CASE WHEN pm.lifetime_revenue > 0 THEN pm.lifetime_revenue ELSE 0 END) AS lifetime_revenue
+        FROM public.product_metrics pm
+        JOIN public.products p ON pm.pid = p.pid
+        WHERE p.vendor IS NOT NULL AND p.vendor <> ''
+        GROUP BY p.vendor
+    ),
+    PreviousPeriodVendorMetrics AS (
+        -- Get previous period metrics for growth calculation
+        SELECT
+            p.vendor,
+            SUM(CASE WHEN dps.snapshot_date >= CURRENT_DATE - INTERVAL '59 days' 
+                     AND dps.snapshot_date < CURRENT_DATE - INTERVAL '29 days' 
+                THEN dps.units_sold ELSE 0 END) AS sales_prev_30d,
+            SUM(CASE WHEN dps.snapshot_date >= CURRENT_DATE - INTERVAL '59 days' 
+                     AND dps.snapshot_date < CURRENT_DATE - INTERVAL '29 days' 
+                THEN dps.net_revenue ELSE 0 END) AS revenue_prev_30d
+        FROM public.daily_product_snapshots dps
+        JOIN public.products p ON dps.pid = p.pid
+        WHERE p.vendor IS NOT NULL AND p.vendor <> ''
+        GROUP BY p.vendor
+    ),
+    VendorPOAggregates AS (
+        -- Aggregate PO related stats including lead time calculated from POs to receivings
+        SELECT
+            po.vendor,
+            COUNT(DISTINCT po.po_id) AS po_count_365d,
+            -- Calculate lead time by averaging the days between PO date and receiving date
+            AVG(GREATEST(1, CASE 
+                WHEN r.received_date IS NOT NULL AND po.date IS NOT NULL 
+                THEN (r.received_date::date - po.date::date) 
+                ELSE NULL 
+            END))::int AS avg_lead_time_days_hist -- Avg lead time from HISTORICAL received POs
+        FROM public.purchase_orders po
+        -- Join to receivings table to find when items were received
+        LEFT JOIN public.receivings r ON r.pid = po.pid
+        WHERE po.vendor IS NOT NULL AND po.vendor <> ''
+          AND po.date >= CURRENT_DATE - INTERVAL '1 year' -- Look at POs created in the last year
+          AND po.status = 'done' -- Only calculate lead time on completed POs
+          AND r.received_date IS NOT NULL
+          AND po.date IS NOT NULL
+          AND r.received_date >= po.date
+        GROUP BY po.vendor
+    ),
+    AllVendors AS (
+        -- Ensure all vendors from products table are included
+        SELECT DISTINCT vendor FROM public.products WHERE vendor IS NOT NULL AND vendor <> ''
+    )
+    INSERT INTO public.vendor_metrics (
+        vendor_name, last_calculated,
+        product_count, active_product_count, replenishable_product_count,
+        current_stock_units, current_stock_cost, current_stock_retail,
+        on_order_units, on_order_cost,
+        po_count_365d, avg_lead_time_days,
+        sales_7d, revenue_7d, sales_30d, revenue_30d, profit_30d, cogs_30d,
+        sales_365d, revenue_365d, lifetime_sales, lifetime_revenue,
+        avg_margin_30d,
+        sales_growth_30d_vs_prev, revenue_growth_30d_vs_prev
+    )
+    SELECT
+        v.vendor,
+        _start_time,
+        -- Base Aggregates
+        COALESCE(vpa.product_count, 0),
+        COALESCE(vpa.active_product_count, 0),
+        COALESCE(vpa.replenishable_product_count, 0),
+        COALESCE(vpa.current_stock_units, 0),
+        COALESCE(vpa.current_stock_cost, 0.00),
+        COALESCE(vpa.current_stock_retail, 0.00),
+        COALESCE(vpa.on_order_units, 0),
+        COALESCE(vpa.on_order_cost, 0.00),
+        -- PO Aggregates
+        COALESCE(vpoa.po_count_365d, 0),
+        vpoa.avg_lead_time_days_hist, -- Can be NULL if no received POs
+        -- Sales Aggregates
+        COALESCE(vpa.sales_7d, 0), COALESCE(vpa.revenue_7d, 0.00),
+        COALESCE(vpa.sales_30d, 0), COALESCE(vpa.revenue_30d, 0.00),
+        COALESCE(vpa.profit_30d, 0.00), COALESCE(vpa.cogs_30d, 0.00),
+        COALESCE(vpa.sales_365d, 0), COALESCE(vpa.revenue_365d, 0.00),
+        COALESCE(vpa.lifetime_sales, 0), COALESCE(vpa.lifetime_revenue, 0.00),
+        -- KPIs
+        (vpa.profit_30d / NULLIF(vpa.revenue_30d, 0)) * 100.0,
+        -- Growth metrics
+        std_numeric(safe_divide((vpa.sales_30d - ppvm.sales_prev_30d) * 100.0, ppvm.sales_prev_30d), 2),
+        std_numeric(safe_divide((vpa.revenue_30d - ppvm.revenue_prev_30d) * 100.0, ppvm.revenue_prev_30d), 2)
+    FROM AllVendors v
+    LEFT JOIN VendorProductAggregates vpa ON v.vendor = vpa.vendor
+    LEFT JOIN VendorPOAggregates vpoa ON v.vendor = vpoa.vendor
+    LEFT JOIN PreviousPeriodVendorMetrics ppvm ON v.vendor = ppvm.vendor
+
+    ON CONFLICT (vendor_name) DO UPDATE SET
+        last_calculated = EXCLUDED.last_calculated,
+        product_count = EXCLUDED.product_count,
+        active_product_count = EXCLUDED.active_product_count,
+        replenishable_product_count = EXCLUDED.replenishable_product_count,
+        current_stock_units = EXCLUDED.current_stock_units,
+        current_stock_cost = EXCLUDED.current_stock_cost,
+        current_stock_retail = EXCLUDED.current_stock_retail,
+        on_order_units = EXCLUDED.on_order_units,
+        on_order_cost = EXCLUDED.on_order_cost,
+        po_count_365d = EXCLUDED.po_count_365d,
+        avg_lead_time_days = EXCLUDED.avg_lead_time_days,
+        sales_7d = EXCLUDED.sales_7d, revenue_7d = EXCLUDED.revenue_7d,
+        sales_30d = EXCLUDED.sales_30d, revenue_30d = EXCLUDED.revenue_30d,
+        profit_30d = EXCLUDED.profit_30d, cogs_30d = EXCLUDED.cogs_30d,
+        sales_365d = EXCLUDED.sales_365d, revenue_365d = EXCLUDED.revenue_365d,
+        lifetime_sales = EXCLUDED.lifetime_sales, lifetime_revenue = EXCLUDED.lifetime_revenue,
+        avg_margin_30d = EXCLUDED.avg_margin_30d,
+        sales_growth_30d_vs_prev = EXCLUDED.sales_growth_30d_vs_prev,
+        revenue_growth_30d_vs_prev = EXCLUDED.revenue_growth_30d_vs_prev
+    WHERE -- Only update if at least one value has changed
+        vendor_metrics.product_count IS DISTINCT FROM EXCLUDED.product_count OR
+        vendor_metrics.active_product_count IS DISTINCT FROM EXCLUDED.active_product_count OR
+        vendor_metrics.current_stock_units IS DISTINCT FROM EXCLUDED.current_stock_units OR
+        vendor_metrics.on_order_units IS DISTINCT FROM EXCLUDED.on_order_units OR
+        vendor_metrics.sales_30d IS DISTINCT FROM EXCLUDED.sales_30d OR
+        vendor_metrics.revenue_30d IS DISTINCT FROM EXCLUDED.revenue_30d OR
+        vendor_metrics.lifetime_sales IS DISTINCT FROM EXCLUDED.lifetime_sales;
+
+    -- Update calculate_status
+    INSERT INTO public.calculate_status (module_name, last_calculation_timestamp)
+    VALUES (_module_name, _start_time)
+    ON CONFLICT (module_name) DO UPDATE SET last_calculation_timestamp = _start_time;
+
+    RAISE NOTICE 'Finished % calculation. Duration: %', _module_name, clock_timestamp() - _start_time;
+END $$;
+
+-- Return metrics about the update operation for tracking
+WITH update_stats AS (
+    SELECT 
+        COUNT(*) as total_vendors,
+        COUNT(*) FILTER (WHERE last_calculated >= NOW() - INTERVAL '5 minutes') as rows_processed,
+        SUM(product_count) as total_products,
+        SUM(active_product_count) as total_active_products,
+        SUM(po_count_365d) as total_pos_365d,
+        AVG(avg_lead_time_days) as overall_avg_lead_time
+    FROM public.vendor_metrics
+)
+SELECT 
+    rows_processed,
+    total_vendors,
+    total_products::int,
+    total_active_products::int,
+    total_pos_365d::int,
+    ROUND(overall_avg_lead_time, 1) as overall_avg_lead_time
+FROM update_stats;

inventory-server/scripts/metrics-new/update_daily_snapshots.sql

@@ -0,0 +1,222 @@
+-- Description: Calculates and updates daily aggregated product data for recent days.
+--              Uses UPSERT (INSERT ON CONFLICT UPDATE) for idempotency.
+-- Dependencies: Core import tables (products, orders, purchase_orders), calculate_status table.
+-- Frequency: Hourly (Run ~5-10 minutes after hourly data import completes).
+
+DO $$
+DECLARE
+    _module_name TEXT := 'daily_snapshots';
+    _start_time TIMESTAMPTZ := clock_timestamp(); -- Time execution started
+    _last_calc_time TIMESTAMPTZ;
+    _target_date DATE; -- Will be set in the loop
+    _total_records INT := 0;
+    _has_orders BOOLEAN := FALSE;
+    _process_days INT := 5; -- Number of days to check/process (today plus previous 4 days)
+    _day_counter INT;
+    _missing_days INT[] := ARRAY[]::INT[]; -- Array to store days with missing or incomplete data
+BEGIN
+    -- Get the timestamp before the last successful run of this module
+    SELECT last_calculation_timestamp INTO _last_calc_time
+    FROM public.calculate_status
+    WHERE module_name = _module_name;
+
+    RAISE NOTICE 'Running % script. Start Time: %', _module_name, _start_time;
+    
+    -- First, check which days need processing by comparing orders data with snapshot data
+    FOR _day_counter IN 0..(_process_days-1) LOOP
+        _target_date := CURRENT_DATE - (_day_counter * INTERVAL '1 day');
+        
+        -- Check if this date needs updating by comparing orders to snapshot data
+        -- If the date has orders but not enough snapshots, or if snapshots show zero sales but orders exist, it's incomplete
+        SELECT 
+            CASE WHEN (
+                -- We have orders for this date but not enough snapshots, or snapshots with wrong total
+                (EXISTS (SELECT 1 FROM public.orders WHERE date::date = _target_date) AND
+                 (
+                    -- No snapshots exist for this date
+                    NOT EXISTS (SELECT 1 FROM public.daily_product_snapshots WHERE snapshot_date = _target_date) OR
+                    -- Or snapshots show zero sales but orders exist
+                    (SELECT COALESCE(SUM(units_sold), 0) FROM public.daily_product_snapshots WHERE snapshot_date = _target_date) = 0 OR
+                    -- Or the count of snapshot records is significantly less than distinct products in orders
+                    (SELECT COUNT(*) FROM public.daily_product_snapshots WHERE snapshot_date = _target_date) < 
+                    (SELECT COUNT(DISTINCT pid) FROM public.orders WHERE date::date = _target_date) * 0.8
+                 )
+                )
+            ) THEN TRUE ELSE FALSE END
+        INTO _has_orders;
+        
+        IF _has_orders THEN
+            -- This day needs processing - add to our array
+            _missing_days := _missing_days || _day_counter;
+            RAISE NOTICE 'Day % needs updating (incomplete or missing data)', _target_date;
+        END IF;
+    END LOOP;
+    
+    -- If no days need updating, exit early
+    IF array_length(_missing_days, 1) IS NULL THEN
+        RAISE NOTICE 'No days need updating - all snapshot data appears complete';
+        
+        -- Still update the calculate_status to record this run
+        UPDATE public.calculate_status
+        SET last_calculation_timestamp = _start_time
+        WHERE module_name = _module_name;
+        
+        RETURN;
+    END IF;
+    
+    RAISE NOTICE 'Need to update % days with missing or incomplete data', array_length(_missing_days, 1);
+
+    -- Process only the days that need updating
+    FOREACH _day_counter IN ARRAY _missing_days LOOP
+        _target_date := CURRENT_DATE - (_day_counter * INTERVAL '1 day');
+        RAISE NOTICE 'Processing date: %', _target_date;
+        
+        -- IMPORTANT: First delete any existing data for this date to prevent duplication
+        DELETE FROM public.daily_product_snapshots 
+        WHERE snapshot_date = _target_date;
+
+        -- Proceed with calculating daily metrics only for products with actual activity
+        WITH SalesData AS (
+            SELECT
+                p.pid,
+                p.sku,
+                -- Track number of orders to ensure we have real data
+                COUNT(o.id) as order_count,
+                -- Aggregate Sales (Quantity > 0, Status not Canceled/Returned)
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.quantity ELSE 0 END), 0) AS units_sold,
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.price * o.quantity ELSE 0 END), 0.00) AS gross_revenue_unadjusted, -- Before discount
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.discount ELSE 0 END), 0.00) AS discounts,
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN 
+                    COALESCE(
+                        o.costeach,  -- First use order-specific cost if available
+                        get_weighted_avg_cost(p.pid, o.date::date),  -- Then use weighted average cost
+                        p.landing_cost_price,  -- Fallback to landing cost
+                        p.cost_price  -- Final fallback to current cost
+                    ) * o.quantity 
+                ELSE 0 END), 0.00) AS cogs,
+                COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN p.regular_price * o.quantity ELSE 0 END), 0.00) AS gross_regular_revenue, -- Use current regular price for simplicity here
+
+                -- Aggregate Returns (Quantity < 0 or Status = Returned)
+                COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN ABS(o.quantity) ELSE 0 END), 0) AS units_returned,
+                COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN o.price * ABS(o.quantity) ELSE 0 END), 0.00) AS returns_revenue
+            FROM public.products p -- Start from products to include those with no orders today
+            JOIN public.orders o -- Changed to INNER JOIN to only process products with orders
+                ON p.pid = o.pid
+               AND o.date::date = _target_date -- Cast to date to ensure compatibility regardless of original type
+            GROUP BY p.pid, p.sku
+            -- No HAVING clause here - we always want to include all orders
+        ),
+        ReceivingData AS (
+            SELECT
+                r.pid,
+                -- Track number of receiving docs to ensure we have real data
+                COUNT(DISTINCT r.receiving_id) as receiving_doc_count,
+                -- Sum the quantities received on this date
+                SUM(r.qty_each) AS units_received,
+                -- Calculate the cost received (qty * cost)
+                SUM(r.qty_each * r.cost_each) AS cost_received
+            FROM public.receivings r
+            WHERE r.received_date::date = _target_date
+              -- Optional: Filter out canceled receivings if needed
+              -- AND r.status <> 'canceled'
+            GROUP BY r.pid
+            -- Only include products with actual receiving activity
+            HAVING COUNT(DISTINCT r.receiving_id) > 0 OR SUM(r.qty_each) > 0
+        ),
+        CurrentStock AS (
+            -- Select current stock values directly from products table
+            SELECT
+                pid,
+                stock_quantity,
+                COALESCE(landing_cost_price, cost_price, 0.00) as effective_cost_price,
+                COALESCE(price, 0.00) as current_price,
+                COALESCE(regular_price, 0.00) as current_regular_price
+            FROM public.products
+        ),
+        ProductsWithActivity AS (
+            -- Quick pre-filter to only process products with activity
+            SELECT DISTINCT pid 
+            FROM (
+                SELECT pid FROM SalesData
+                UNION
+                SELECT pid FROM ReceivingData
+            ) a
+        )
+        -- Now insert records, but ONLY for products with actual activity
+        INSERT INTO public.daily_product_snapshots (
+            snapshot_date,
+            pid,
+            sku,
+            eod_stock_quantity,
+            eod_stock_cost,
+            eod_stock_retail,
+            eod_stock_gross,
+            stockout_flag,
+            units_sold,
+            units_returned,
+            gross_revenue,
+            discounts,
+            returns_revenue,
+            net_revenue,
+            cogs,
+            gross_regular_revenue,
+            profit,
+            units_received,
+            cost_received,
+            calculation_timestamp
+        )
+        SELECT
+            _target_date AS snapshot_date,
+            COALESCE(sd.pid, rd.pid) AS pid,  -- Use sales or receiving PID
+            COALESCE(sd.sku, p.sku) AS sku,   -- Get SKU from sales data or products table
+            -- Inventory Metrics (Using CurrentStock)
+            cs.stock_quantity AS eod_stock_quantity,
+            cs.stock_quantity * cs.effective_cost_price AS eod_stock_cost,
+            cs.stock_quantity * cs.current_price AS eod_stock_retail,
+            cs.stock_quantity * cs.current_regular_price AS eod_stock_gross,
+            (cs.stock_quantity <= 0) AS stockout_flag,
+            -- Sales Metrics (From SalesData)
+            COALESCE(sd.units_sold, 0),
+            COALESCE(sd.units_returned, 0),
+            COALESCE(sd.gross_revenue_unadjusted, 0.00),
+            COALESCE(sd.discounts, 0.00),
+            COALESCE(sd.returns_revenue, 0.00),
+            COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00) AS net_revenue,
+            COALESCE(sd.cogs, 0.00),
+            COALESCE(sd.gross_regular_revenue, 0.00),
+            (COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00)) - COALESCE(sd.cogs, 0.00) AS profit, -- Basic profit: Net Revenue - COGS
+            -- Receiving Metrics (From ReceivingData)
+            COALESCE(rd.units_received, 0),
+            COALESCE(rd.cost_received, 0.00),
+            _start_time -- Timestamp of this calculation run
+        FROM SalesData sd
+        FULL OUTER JOIN ReceivingData rd ON sd.pid = rd.pid
+        JOIN ProductsWithActivity pwa ON COALESCE(sd.pid, rd.pid) = pwa.pid
+        LEFT JOIN public.products p ON COALESCE(sd.pid, rd.pid) = p.pid
+        LEFT JOIN CurrentStock cs ON COALESCE(sd.pid, rd.pid) = cs.pid
+        WHERE p.pid IS NOT NULL; -- Ensure we only insert for existing products
+
+        -- Get the total number of records inserted for this date
+        GET DIAGNOSTICS _total_records = ROW_COUNT;
+        RAISE NOTICE 'Created % daily snapshot records for % with sales/receiving activity', _total_records, _target_date;
+    END LOOP;
+
+    -- Update the status table with the timestamp from the START of this run
+    UPDATE public.calculate_status
+    SET last_calculation_timestamp = _start_time
+    WHERE module_name = _module_name;
+
+    RAISE NOTICE 'Finished % processing for multiple dates. Duration: %', _module_name, clock_timestamp() - _start_time;
+
+END $$;
+
+-- Return the total records processed for tracking
+SELECT 
+    COUNT(*) as rows_processed,
+    COUNT(DISTINCT snapshot_date) as days_processed,
+    MIN(snapshot_date) as earliest_date,
+    MAX(snapshot_date) as latest_date,
+    SUM(units_sold) as total_units_sold,
+    SUM(units_received) as total_units_received
+FROM public.daily_product_snapshots
+WHERE calculation_timestamp >= (NOW() - INTERVAL '5 minutes'); -- Recent updates only

inventory-server/scripts/metrics-new/update_periodic_metrics.sql

@@ -0,0 +1,139 @@
+-- Description: Calculates metrics that don't need hourly updates, like ABC class
+--              and average lead time.
+-- Dependencies: product_metrics, purchase_orders, settings_global, calculate_status.
+-- Frequency: Daily or Weekly (e.g., run via cron job overnight).
+
+DO $$
+DECLARE
+    _module_name TEXT := 'periodic_metrics';
+    _start_time TIMESTAMPTZ := clock_timestamp();
+    _last_calc_time TIMESTAMPTZ;
+    _abc_basis VARCHAR;
+    _abc_period INT;
+    _threshold_a NUMERIC;
+    _threshold_b NUMERIC;
+BEGIN
+    -- Get the timestamp before the last successful run of this module
+    SELECT last_calculation_timestamp INTO _last_calc_time
+    FROM public.calculate_status
+    WHERE module_name = _module_name;
+
+    RAISE NOTICE 'Running % module. Start Time: %', _module_name, _start_time;
+
+    -- 1. Calculate Average Lead Time
+    RAISE NOTICE 'Calculating Average Lead Time...';
+    WITH LeadTimes AS (
+        SELECT
+            po.pid,
+            -- Calculate lead time by looking at when items ordered on POs were received
+            AVG(GREATEST(1, (r.received_date::date - po.date::date))) AS avg_days -- Use GREATEST(1,...) to avoid 0 or negative days
+        FROM public.purchase_orders po
+        -- Join to receivings table to find actual receipts
+        JOIN public.receivings r ON r.pid = po.pid
+        WHERE po.status = 'done' -- Only include completed POs
+          AND r.received_date >= po.date -- Ensure received date is not before order date
+          -- Optional: add check to make sure receiving is related to PO if you have source_po_id
+          -- AND (r.source_po_id = po.po_id OR r.source_po_id IS NULL)
+        GROUP BY po.pid
+    )
+    UPDATE public.product_metrics pm
+    SET avg_lead_time_days = lt.avg_days::int
+    FROM LeadTimes lt
+    WHERE pm.pid = lt.pid
+      AND pm.avg_lead_time_days IS DISTINCT FROM lt.avg_days::int; -- Only update if changed
+    RAISE NOTICE 'Finished Average Lead Time calculation.';
+
+
+    -- 2. Calculate ABC Classification
+    RAISE NOTICE 'Calculating ABC Classification...';
+    -- Get ABC settings
+    SELECT setting_value INTO _abc_basis FROM public.settings_global WHERE setting_key = 'abc_calculation_basis' LIMIT 1;
+    SELECT setting_value::numeric INTO _threshold_a FROM public.settings_global WHERE setting_key = 'abc_revenue_threshold_a' LIMIT 1;
+    SELECT setting_value::numeric INTO _threshold_b FROM public.settings_global WHERE setting_key = 'abc_revenue_threshold_b' LIMIT 1;
+    _abc_basis := COALESCE(_abc_basis, 'revenue_30d'); -- Default basis
+    _threshold_a := COALESCE(_threshold_a, 0.80);
+    _threshold_b := COALESCE(_threshold_b, 0.95);
+
+    RAISE NOTICE 'Using ABC Basis: %, Threshold A: %, Threshold B: %', _abc_basis, _threshold_a, _threshold_b;
+
+    WITH RankedProducts AS (
+        SELECT
+            pid,
+            -- Dynamically select the metric based on setting
+            CASE _abc_basis
+                WHEN 'sales_30d' THEN COALESCE(sales_30d, 0)
+                WHEN 'lifetime_revenue' THEN COALESCE(lifetime_revenue, 0)::numeric -- Cast needed if different type
+                ELSE COALESCE(revenue_30d, 0) -- Default to revenue_30d
+            END AS metric_value
+        FROM public.product_metrics
+        WHERE is_replenishable = TRUE -- Typically only classify replenishable items
+    ),
+    Cumulative AS (
+        SELECT
+            pid,
+            metric_value,
+            SUM(metric_value) OVER (ORDER BY metric_value DESC NULLS LAST ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) as cumulative_metric,
+            SUM(metric_value) OVER () as total_metric
+        FROM RankedProducts
+        WHERE metric_value > 0 -- Exclude items with no contribution
+    )
+    UPDATE public.product_metrics pm
+    SET abc_class =
+        CASE
+            WHEN c.cumulative_metric / NULLIF(c.total_metric, 0) <= _threshold_a THEN 'A'
+            WHEN c.cumulative_metric / NULLIF(c.total_metric, 0) <= _threshold_b THEN 'B'
+            ELSE 'C'
+        END
+    FROM Cumulative c
+    WHERE pm.pid = c.pid
+      AND pm.abc_class IS DISTINCT FROM ( -- Only update if changed
+         CASE
+            WHEN c.cumulative_metric / NULLIF(c.total_metric, 0) <= _threshold_a THEN 'A'
+            WHEN c.cumulative_metric / NULLIF(c.total_metric, 0) <= _threshold_b THEN 'B'
+            ELSE 'C'
+         END);
+
+    -- Set non-contributing or non-replenishable to 'C' or NULL if preferred
+     UPDATE public.product_metrics
+     SET abc_class = 'C' -- Or NULL
+     WHERE abc_class IS NULL AND is_replenishable = TRUE; -- Catch those with 0 metric value
+
+     UPDATE public.product_metrics
+     SET abc_class = NULL -- Or 'N/A'?
+     WHERE is_replenishable = FALSE AND abc_class IS NOT NULL; -- Unclassify non-replenishable items
+
+
+    RAISE NOTICE 'Finished ABC Classification calculation.';
+
+    -- Add other periodic calculations here if needed (e.g., recalculating first/last dates)
+
+    -- Update the status table with the timestamp from the START of this run
+    UPDATE public.calculate_status
+    SET last_calculation_timestamp = _start_time
+    WHERE module_name = _module_name;
+
+    RAISE NOTICE 'Finished % module. Duration: %', _module_name, clock_timestamp() - _start_time;
+
+END $$;
+
+-- Return metrics about the update operation for tracking
+WITH update_stats AS (
+    SELECT 
+        COUNT(*) as total_products,
+        COUNT(*) FILTER (WHERE last_calculated >= NOW() - INTERVAL '5 minutes') as rows_processed,
+        COUNT(*) FILTER (WHERE abc_class = 'A') as abc_a_count,
+        COUNT(*) FILTER (WHERE abc_class = 'B') as abc_b_count,
+        COUNT(*) FILTER (WHERE abc_class = 'C') as abc_c_count,
+        COUNT(*) FILTER (WHERE avg_lead_time_days IS NOT NULL) as products_with_lead_time,
+        AVG(avg_lead_time_days) as overall_avg_lead_time
+    FROM public.product_metrics
+)
+SELECT 
+    rows_processed,
+    total_products,
+    abc_a_count,
+    abc_b_count,
+    abc_c_count,
+    products_with_lead_time,
+    ROUND(overall_avg_lead_time, 1) as overall_avg_lead_time
+FROM update_stats;

inventory-server/scripts/metrics-new/update_product_metrics.sql

@@ -0,0 +1,609 @@
+-- Description: Calculates and updates the main product_metrics table based on current data
+--              and aggregated daily snapshots. Uses UPSERT for idempotency.
+-- Dependencies: Core import tables, daily_product_snapshots, configuration tables, calculate_status.
+-- Frequency: Hourly (Run AFTER update_daily_snapshots.sql completes).
+
+DO $$
+DECLARE
+    _module_name TEXT := 'product_metrics';
+    _start_time TIMESTAMPTZ := clock_timestamp();
+    _last_calc_time TIMESTAMPTZ;
+    _current_date DATE := CURRENT_DATE;
+BEGIN
+    -- Get the timestamp before the last successful run of this module
+    SELECT last_calculation_timestamp INTO _last_calc_time
+    FROM public.calculate_status
+    WHERE module_name = _module_name;
+
+    RAISE NOTICE 'Running % module. Start Time: %', _module_name, _start_time;
+
+    -- Use CTEs to gather all necessary information
+    WITH CurrentInfo AS (
+        SELECT
+            p.pid,
+            p.sku,
+            p.title,
+            p.brand,
+            p.vendor,
+            COALESCE(p.image_175, p.image) as image_url,
+            p.visible as is_visible,
+            p.replenishable as is_replenishable,
+            -- Add new product fields
+            p.barcode,
+            p.harmonized_tariff_code,
+            p.vendor_reference,
+            p.notions_reference,
+            p.line,
+            p.subline,
+            p.artist,
+            p.moq,
+            p.rating,
+            p.reviews,
+            p.weight,
+            p.length,
+            p.width,
+            p.height,
+            p.country_of_origin,
+            p.location,
+            p.baskets,
+            p.notifies,
+            p.preorder_count,
+            p.notions_inv_count,
+            COALESCE(p.price, 0.00) as current_price,
+            COALESCE(p.regular_price, 0.00) as current_regular_price,
+            COALESCE(p.cost_price, 0.00) as current_cost_price,
+            COALESCE(p.landing_cost_price, p.cost_price, 0.00) as current_effective_cost, -- Use landing if available, else cost
+            p.stock_quantity as current_stock,
+            p.created_at,
+            p.first_received,
+            p.date_last_sold,
+            p.total_sold as historical_total_sold, -- Add historical total_sold from products table
+            p.uom -- Assuming UOM logic is handled elsewhere or simple (e.g., 1=each)
+        FROM public.products p
+    ),
+    OnOrderInfo AS (
+        SELECT
+            pid,
+            SUM(ordered) AS on_order_qty,
+            SUM(ordered * po_cost_price) AS on_order_cost,
+            MIN(expected_date) AS earliest_expected_date
+        FROM public.purchase_orders
+        WHERE status IN ('created', 'ordered', 'preordered', 'electronically_sent', 'electronically_ready_send', 'receiving_started')
+          AND status NOT IN ('canceled', 'done')
+        GROUP BY pid
+    ),
+    HistoricalDates AS (
+        -- Note: Calculating these MIN/MAX values hourly can be slow on large tables.
+        -- Consider calculating periodically or storing on products if import can populate them.
+        SELECT
+            p.pid,
+            MIN(o.date)::date AS date_first_sold,
+            MAX(o.date)::date AS max_order_date, -- Use MAX for potential recalc of date_last_sold
+            
+            -- For first received, use the new receivings table
+            MIN(r.received_date)::date AS date_first_received_calc,
+            
+            -- For last received, use the new receivings table
+            MAX(r.received_date)::date AS date_last_received_calc
+        FROM public.products p
+        LEFT JOIN public.orders o ON p.pid = o.pid AND o.quantity > 0 AND o.status NOT IN ('canceled', 'returned')
+        LEFT JOIN public.receivings r ON p.pid = r.pid
+        GROUP BY p.pid
+    ),
+    SnapshotAggregates AS (
+        SELECT
+            pid,
+            -- Get the counts of all available data 
+            COUNT(DISTINCT snapshot_date) AS available_days,
+            
+            -- Rolling periods with no time constraint - just sum everything we have
+            SUM(units_sold) AS total_units_sold,
+            SUM(net_revenue) AS total_net_revenue,
+            
+            -- Specific time windows using date range boundaries precisely
+            -- Use _current_date - INTERVAL '6 days' to include 7 days (today + 6 previous days)
+            -- This ensures we count exactly the right number of days in each period
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '6 days' AND snapshot_date <= _current_date THEN units_sold ELSE 0 END) AS sales_7d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '6 days' AND snapshot_date <= _current_date THEN net_revenue ELSE 0 END) AS revenue_7d,
+            
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '13 days' AND snapshot_date <= _current_date THEN units_sold ELSE 0 END) AS sales_14d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '13 days' AND snapshot_date <= _current_date THEN net_revenue ELSE 0 END) AS revenue_14d,
+            
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN units_sold ELSE 0 END) AS sales_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN net_revenue ELSE 0 END) AS revenue_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN cogs ELSE 0 END) AS cogs_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN profit ELSE 0 END) AS profit_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN units_returned ELSE 0 END) AS returns_units_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN returns_revenue ELSE 0 END) AS returns_revenue_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN discounts ELSE 0 END) AS discounts_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN gross_revenue ELSE 0 END) AS gross_revenue_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN gross_regular_revenue ELSE 0 END) AS gross_regular_revenue_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date AND stockout_flag THEN 1 ELSE 0 END) AS stockout_days_30d,
+            
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '364 days' AND snapshot_date <= _current_date THEN units_sold ELSE 0 END) AS sales_365d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '364 days' AND snapshot_date <= _current_date THEN net_revenue ELSE 0 END) AS revenue_365d,
+            
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN units_received ELSE 0 END) AS received_qty_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN cost_received ELSE 0 END) AS received_cost_30d,
+
+            -- Averages for stock levels - only include dates within the specified period
+            AVG(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN eod_stock_quantity END) AS avg_stock_units_30d,
+            AVG(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN eod_stock_cost END) AS avg_stock_cost_30d,
+            AVG(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN eod_stock_retail END) AS avg_stock_retail_30d,
+            AVG(CASE WHEN snapshot_date >= _current_date - INTERVAL '29 days' AND snapshot_date <= _current_date THEN eod_stock_gross END) AS avg_stock_gross_30d,
+
+            -- Lifetime - should match total values above
+            SUM(units_sold) AS lifetime_sales,
+            SUM(net_revenue) AS lifetime_revenue,
+
+            -- Yesterday
+            SUM(CASE WHEN snapshot_date = _current_date - INTERVAL '1 day' THEN units_sold ELSE 0 END) as yesterday_sales
+
+        FROM public.daily_product_snapshots
+        GROUP BY pid
+    ),
+    FirstPeriodMetrics AS (
+      SELECT
+          pid,
+          date_first_sold,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '6 days' THEN units_sold ELSE 0 END) AS first_7_days_sales,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '6 days' THEN net_revenue ELSE 0 END) AS first_7_days_revenue,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '29 days' THEN units_sold ELSE 0 END) AS first_30_days_sales,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '29 days' THEN net_revenue ELSE 0 END) AS first_30_days_revenue,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '59 days' THEN units_sold ELSE 0 END) AS first_60_days_sales,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '59 days' THEN net_revenue ELSE 0 END) AS first_60_days_revenue,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '89 days' THEN units_sold ELSE 0 END) AS first_90_days_sales,
+          SUM(CASE WHEN snapshot_date >= date_first_sold AND snapshot_date <= date_first_sold + INTERVAL '89 days' THEN net_revenue ELSE 0 END) AS first_90_days_revenue
+      FROM public.daily_product_snapshots ds
+      JOIN HistoricalDates hd USING(pid)
+      WHERE date_first_sold IS NOT NULL
+        AND snapshot_date >= date_first_sold
+        AND snapshot_date <= date_first_sold + INTERVAL '90 days' -- Limit scan range
+      GROUP BY pid, date_first_sold
+    ),
+    Settings AS (
+      SELECT
+        p.pid,
+        COALESCE(sp.lead_time_days, sv.default_lead_time_days, (SELECT setting_value FROM settings_global WHERE setting_key = 'default_lead_time_days')::int, 14) AS effective_lead_time,
+        COALESCE(sp.days_of_stock, sv.default_days_of_stock, (SELECT setting_value FROM settings_global WHERE setting_key = 'default_days_of_stock')::int, 30) AS effective_days_of_stock,
+        COALESCE(sp.safety_stock, 0) AS effective_safety_stock, -- Assuming safety stock is units, not days from global for now
+        COALESCE(sp.exclude_from_forecast, FALSE) AS exclude_forecast
+      FROM public.products p
+      LEFT JOIN public.settings_product sp ON p.pid = sp.pid
+      LEFT JOIN public.settings_vendor sv ON p.vendor = sv.vendor
+    ),
+    LifetimeRevenue AS (
+        -- Calculate actual revenue from orders table
+        SELECT
+            o.pid,
+            SUM(o.price * o.quantity - COALESCE(o.discount, 0)) AS lifetime_revenue_from_orders,
+            SUM(o.quantity) AS lifetime_units_from_orders
+        FROM public.orders o
+        WHERE o.status NOT IN ('canceled', 'returned')
+          AND o.quantity > 0
+        GROUP BY o.pid
+    ),
+    PreviousPeriodMetrics AS (
+        -- Calculate metrics for previous 30-day period for growth comparison
+        SELECT
+            pid,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '59 days' 
+                     AND snapshot_date < _current_date - INTERVAL '29 days' 
+                THEN units_sold ELSE 0 END) AS sales_prev_30d,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '59 days' 
+                     AND snapshot_date < _current_date - INTERVAL '29 days' 
+                THEN net_revenue ELSE 0 END) AS revenue_prev_30d,
+            -- Year-over-year comparison
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '395 days' 
+                     AND snapshot_date < _current_date - INTERVAL '365 days' 
+                THEN units_sold ELSE 0 END) AS sales_30d_last_year,
+            SUM(CASE WHEN snapshot_date >= _current_date - INTERVAL '395 days' 
+                     AND snapshot_date < _current_date - INTERVAL '365 days' 
+                THEN net_revenue ELSE 0 END) AS revenue_30d_last_year
+        FROM public.daily_product_snapshots
+        GROUP BY pid
+    ),
+    DemandVariability AS (
+        -- Calculate variance and standard deviation of daily sales
+        SELECT
+            pid,
+            COUNT(*) AS days_with_data,
+            AVG(units_sold) AS avg_daily_sales,
+            VARIANCE(units_sold) AS sales_variance,
+            STDDEV(units_sold) AS sales_std_dev,
+            -- Coefficient of variation
+            CASE 
+                WHEN AVG(units_sold) > 0 THEN STDDEV(units_sold) / AVG(units_sold)
+                ELSE NULL 
+            END AS sales_cv
+        FROM public.daily_product_snapshots
+        WHERE snapshot_date >= _current_date - INTERVAL '29 days' 
+          AND snapshot_date <= _current_date
+        GROUP BY pid
+    ),
+    ServiceLevels AS (
+        -- Calculate service level and fill rate metrics
+        SELECT
+            pid,
+            COUNT(*) FILTER (WHERE stockout_flag = true) AS stockout_incidents_30d,
+            COUNT(*) FILTER (WHERE stockout_flag = true AND units_sold > 0) AS lost_sales_incidents_30d,
+            -- Service level: percentage of days without stockouts
+            (1.0 - (COUNT(*) FILTER (WHERE stockout_flag = true)::NUMERIC / NULLIF(COUNT(*), 0))) * 100 AS service_level_30d,
+            -- Fill rate: units sold / (units sold + potential lost sales)
+            CASE 
+                WHEN SUM(units_sold) > 0 THEN
+                    (SUM(units_sold)::NUMERIC / 
+                     (SUM(units_sold) + SUM(CASE WHEN stockout_flag THEN units_sold * 0.2 ELSE 0 END))) * 100
+                ELSE NULL
+            END AS fill_rate_30d
+        FROM public.daily_product_snapshots
+        WHERE snapshot_date >= _current_date - INTERVAL '29 days' 
+          AND snapshot_date <= _current_date
+        GROUP BY pid
+    ),
+    SeasonalityAnalysis AS (
+        -- Simple seasonality detection
+        SELECT 
+            p.pid,
+            sp.seasonal_pattern,
+            sp.seasonality_index,
+            sp.peak_season
+        FROM products p
+        CROSS JOIN LATERAL detect_seasonal_pattern(p.pid) sp
+    )
+    -- Final UPSERT into product_metrics
+    INSERT INTO public.product_metrics (
+        pid, last_calculated, sku, title, brand, vendor, image_url, is_visible, is_replenishable,
+        barcode, harmonized_tariff_code, vendor_reference, notions_reference, line, subline, artist, 
+        moq, rating, reviews, weight, length, width, height, country_of_origin, location, 
+        baskets, notifies, preorder_count, notions_inv_count,
+        current_price, current_regular_price, current_cost_price, current_landing_cost_price,
+        current_stock, current_stock_cost, current_stock_retail, current_stock_gross,
+        on_order_qty, on_order_cost, on_order_retail, earliest_expected_date,
+        date_created, date_first_received, date_last_received, date_first_sold, date_last_sold, age_days,
+        sales_7d, revenue_7d, sales_14d, revenue_14d, sales_30d, revenue_30d, cogs_30d, profit_30d,
+        returns_units_30d, returns_revenue_30d, discounts_30d, gross_revenue_30d, gross_regular_revenue_30d,
+        stockout_days_30d, sales_365d, revenue_365d,
+        avg_stock_units_30d, avg_stock_cost_30d, avg_stock_retail_30d, avg_stock_gross_30d,
+        received_qty_30d, received_cost_30d,
+        lifetime_sales, lifetime_revenue, lifetime_revenue_quality,
+        first_7_days_sales, first_7_days_revenue, first_30_days_sales, first_30_days_revenue,
+        first_60_days_sales, first_60_days_revenue, first_90_days_sales, first_90_days_revenue,
+        asp_30d, acp_30d, avg_ros_30d, avg_sales_per_day_30d, avg_sales_per_month_30d,
+        margin_30d, markup_30d, gmroi_30d, stockturn_30d, return_rate_30d, discount_rate_30d,
+        stockout_rate_30d, markdown_30d, markdown_rate_30d, sell_through_30d,
+        -- avg_lead_time_days, -- Calculated periodically
+        -- abc_class, -- Calculated periodically
+        sales_velocity_daily, config_lead_time, config_days_of_stock, config_safety_stock,
+        planning_period_days, lead_time_forecast_units, days_of_stock_forecast_units,
+        planning_period_forecast_units, lead_time_closing_stock, days_of_stock_closing_stock,
+        replenishment_needed_raw, replenishment_units, replenishment_cost, replenishment_retail, replenishment_profit,
+        to_order_units, forecast_lost_sales_units, forecast_lost_revenue,
+        stock_cover_in_days, po_cover_in_days, sells_out_in_days, replenish_date,
+        overstocked_units, overstocked_cost, overstocked_retail, is_old_stock,
+        yesterday_sales,
+        status,  -- Add status field for calculated status
+        -- New fields
+        sales_growth_30d_vs_prev, revenue_growth_30d_vs_prev,
+        sales_growth_yoy, revenue_growth_yoy,
+        sales_variance_30d, sales_std_dev_30d, sales_cv_30d, demand_pattern,
+        fill_rate_30d, stockout_incidents_30d, service_level_30d, lost_sales_incidents_30d,
+        seasonality_index, seasonal_pattern, peak_season
+    )
+    SELECT
+        ci.pid, _start_time, ci.sku, ci.title, ci.brand, ci.vendor, ci.image_url, ci.is_visible, ci.is_replenishable,
+        ci.barcode, ci.harmonized_tariff_code, ci.vendor_reference, ci.notions_reference, ci.line, ci.subline, ci.artist,
+        ci.moq, ci.rating, ci.reviews, ci.weight, ci.length, ci.width, ci.height, ci.country_of_origin, ci.location,
+        ci.baskets, ci.notifies, ci.preorder_count, ci.notions_inv_count,
+        ci.current_price, ci.current_regular_price, ci.current_cost_price, ci.current_effective_cost,
+        ci.current_stock, ci.current_stock * ci.current_effective_cost, ci.current_stock * ci.current_price, ci.current_stock * ci.current_regular_price,
+        COALESCE(ooi.on_order_qty, 0), COALESCE(ooi.on_order_cost, 0.00), COALESCE(ooi.on_order_qty, 0) * ci.current_price, ooi.earliest_expected_date,
+        ci.created_at::date, COALESCE(ci.first_received::date, hd.date_first_received_calc), hd.date_last_received_calc, hd.date_first_sold, COALESCE(ci.date_last_sold, hd.max_order_date), 
+        CASE 
+            WHEN ci.created_at IS NULL AND hd.date_first_sold IS NULL THEN 0
+            WHEN ci.created_at IS NULL THEN (_current_date - hd.date_first_sold)::integer
+            WHEN hd.date_first_sold IS NULL THEN (_current_date - ci.created_at::date)::integer
+            ELSE (_current_date - LEAST(ci.created_at::date, hd.date_first_sold))::integer
+        END AS age_days,
+        sa.sales_7d, sa.revenue_7d, sa.sales_14d, sa.revenue_14d, sa.sales_30d, sa.revenue_30d, sa.cogs_30d, sa.profit_30d,
+        sa.returns_units_30d, sa.returns_revenue_30d, sa.discounts_30d, sa.gross_revenue_30d, sa.gross_regular_revenue_30d,
+        sa.stockout_days_30d, sa.sales_365d, sa.revenue_365d,
+        sa.avg_stock_units_30d, sa.avg_stock_cost_30d, sa.avg_stock_retail_30d, sa.avg_stock_gross_30d,
+        sa.received_qty_30d, sa.received_cost_30d,
+        -- Use total_sold from products table as the source of truth for lifetime sales
+        -- This includes all historical data from the production database
+        ci.historical_total_sold AS lifetime_sales,
+        -- Calculate lifetime revenue using actual historical prices where available
+        CASE 
+            WHEN lr.lifetime_revenue_from_orders IS NOT NULL THEN
+                -- We have some order history - use it plus estimate for remaining
+                lr.lifetime_revenue_from_orders + 
+                (GREATEST(0, ci.historical_total_sold - COALESCE(lr.lifetime_units_from_orders, 0)) * 
+                 COALESCE(
+                    -- Use oldest known price from snapshots as proxy
+                    (SELECT revenue_7d / NULLIF(sales_7d, 0) 
+                     FROM daily_product_snapshots 
+                     WHERE pid = ci.pid AND sales_7d > 0 
+                     ORDER BY snapshot_date ASC 
+                     LIMIT 1),
+                    ci.current_price
+                 ))
+            ELSE
+                -- No order history - estimate using current price
+                ci.historical_total_sold * ci.current_price
+        END AS lifetime_revenue,
+        CASE 
+            WHEN lr.lifetime_units_from_orders >= ci.historical_total_sold * 0.9 THEN 'exact'
+            WHEN lr.lifetime_units_from_orders >= ci.historical_total_sold * 0.5 THEN 'partial'
+            ELSE 'estimated'
+        END AS lifetime_revenue_quality,
+        fpm.first_7_days_sales, fpm.first_7_days_revenue, fpm.first_30_days_sales, fpm.first_30_days_revenue,
+        fpm.first_60_days_sales, fpm.first_60_days_revenue, fpm.first_90_days_sales, fpm.first_90_days_revenue,
+        sa.revenue_30d / NULLIF(sa.sales_30d, 0) AS asp_30d,
+        sa.cogs_30d / NULLIF(sa.sales_30d, 0) AS acp_30d,
+        sa.profit_30d / NULLIF(sa.sales_30d, 0) AS avg_ros_30d,
+        sa.sales_30d / 30.0 AS avg_sales_per_day_30d,
+        sa.sales_30d AS avg_sales_per_month_30d, -- Using 30d sales as proxy for month
+        (sa.profit_30d / NULLIF(sa.revenue_30d, 0)) * 100 AS margin_30d,
+        (sa.profit_30d / NULLIF(sa.cogs_30d, 0)) * 100 AS markup_30d,
+        sa.profit_30d / NULLIF(sa.avg_stock_cost_30d, 0) AS gmroi_30d,
+        sa.sales_30d / NULLIF(sa.avg_stock_units_30d, 0) AS stockturn_30d,
+        (sa.returns_units_30d / NULLIF(sa.sales_30d + sa.returns_units_30d, 0)) * 100 AS return_rate_30d,
+        (sa.discounts_30d / NULLIF(sa.gross_revenue_30d, 0)) * 100 AS discount_rate_30d,
+        (sa.stockout_days_30d / 30.0) * 100 AS stockout_rate_30d,
+        sa.gross_regular_revenue_30d - sa.gross_revenue_30d AS markdown_30d,
+        ((sa.gross_regular_revenue_30d - sa.gross_revenue_30d) / NULLIF(sa.gross_regular_revenue_30d, 0)) * 100 AS markdown_rate_30d,
+        -- Fix sell-through rate: Industry standard is Units Sold / (Beginning Inventory + Units Received)
+        -- Approximating beginning inventory as current stock + units sold - units received
+        (sa.sales_30d / NULLIF(
+            ci.current_stock + sa.sales_30d + sa.returns_units_30d - sa.received_qty_30d, 
+            0
+        )) * 100 AS sell_through_30d,
+
+        -- Forecasting intermediate values
+        -- Use the calculate_sales_velocity function instead of repetitive calculation
+        calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) AS sales_velocity_daily,
+        s.effective_lead_time AS config_lead_time,
+        s.effective_days_of_stock AS config_days_of_stock,
+        s.effective_safety_stock AS config_safety_stock,
+        (s.effective_lead_time + s.effective_days_of_stock) AS planning_period_days,
+        
+        calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time AS lead_time_forecast_units,
+        
+        calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock AS days_of_stock_forecast_units,
+        
+        calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * (s.effective_lead_time + s.effective_days_of_stock) AS planning_period_forecast_units,
+        
+        (ci.current_stock + COALESCE(ooi.on_order_qty, 0) - (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time)) AS lead_time_closing_stock,
+        
+        ((ci.current_stock + COALESCE(ooi.on_order_qty, 0) - (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time))) - (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock) AS days_of_stock_closing_stock,
+        
+        ((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)) + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0) AS replenishment_needed_raw,
+
+        -- Final Forecasting / Replenishment Metrics
+        CEILING(GREATEST(0, (((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)) + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0))))::int AS replenishment_units,
+        (CEILING(GREATEST(0, (((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)) + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0))))::int) * ci.current_effective_cost AS replenishment_cost,
+        (CEILING(GREATEST(0, (((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)) + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0))))::int) * ci.current_price AS replenishment_retail,
+        (CEILING(GREATEST(0, (((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)) + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0))))::int) * (ci.current_price - ci.current_effective_cost) AS replenishment_profit,
+
+        -- To Order (Apply MOQ/UOM logic here if needed, otherwise equals replenishment)
+        CEILING(GREATEST(0, (((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)) + s.effective_safety_stock - ci.current_stock - COALESCE(ooi.on_order_qty, 0))))::int AS to_order_units,
+
+        GREATEST(0, - (ci.current_stock + COALESCE(ooi.on_order_qty, 0) - (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time))) AS forecast_lost_sales_units,
+        GREATEST(0, - (ci.current_stock + COALESCE(ooi.on_order_qty, 0) - (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time))) * ci.current_price AS forecast_lost_revenue,
+
+        ci.current_stock / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0) AS stock_cover_in_days,
+        COALESCE(ooi.on_order_qty, 0) / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0) AS po_cover_in_days,
+        (ci.current_stock + COALESCE(ooi.on_order_qty, 0)) / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0) AS sells_out_in_days,
+
+        -- Replenish Date: Date when stock is projected to hit safety stock, minus lead time
+        CASE
+            WHEN calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) > 0
+            THEN _current_date + FLOOR(GREATEST(0, ci.current_stock - s.effective_safety_stock) / calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int))::int - s.effective_lead_time
+            ELSE NULL
+        END AS replenish_date,
+
+        GREATEST(0, ci.current_stock - s.effective_safety_stock - ((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)))::int AS overstocked_units,
+        (GREATEST(0, ci.current_stock - s.effective_safety_stock - ((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)))) * ci.current_effective_cost AS overstocked_cost,
+        (GREATEST(0, ci.current_stock - s.effective_safety_stock - ((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock)))) * ci.current_price AS overstocked_retail,
+
+        -- Old Stock Flag
+        (ci.created_at::date < _current_date - INTERVAL '60 day') AND
+        (COALESCE(ci.date_last_sold, hd.max_order_date) IS NULL OR COALESCE(ci.date_last_sold, hd.max_order_date) < _current_date - INTERVAL '60 day') AND
+        (hd.date_last_received_calc IS NULL OR hd.date_last_received_calc < _current_date - INTERVAL '60 day') AND
+        COALESCE(ooi.on_order_qty, 0) = 0
+        AS is_old_stock,
+
+        sa.yesterday_sales,
+
+        -- Calculate status using direct CASE statements (inline logic)
+        CASE
+            -- Non-replenishable items default to Healthy
+            WHEN NOT ci.is_replenishable THEN 'Healthy'
+            
+            -- Calculate lead time and thresholds
+            ELSE
+                CASE
+                    -- Check for overstock first 
+                    WHEN GREATEST(0, ci.current_stock - s.effective_safety_stock - ((calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_lead_time) + (calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int) * s.effective_days_of_stock))) > 0 THEN 'Overstock'
+                    
+                    -- Check for Critical stock
+                    WHEN ci.current_stock <= 0 OR 
+                         (ci.current_stock / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0)) <= 0 THEN 'Critical'
+                    
+                    WHEN (ci.current_stock / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0)) < (COALESCE(s.effective_lead_time, 30) * 0.5) THEN 'Critical'
+                    
+                    -- Check for reorder soon
+                    WHEN ((ci.current_stock + COALESCE(ooi.on_order_qty, 0)) / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0)) < (COALESCE(s.effective_lead_time, 30) + 7) THEN 
+                         CASE
+                           WHEN (ci.current_stock / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0)) < (COALESCE(s.effective_lead_time, 30) * 0.5) THEN 'Critical'
+                           ELSE 'Reorder Soon'
+                         END
+                    
+                    -- Check for 'At Risk' - old stock
+                    WHEN (ci.created_at::date < _current_date - INTERVAL '60 day') AND
+                         (COALESCE(ci.date_last_sold, hd.max_order_date) IS NULL OR COALESCE(ci.date_last_sold, hd.max_order_date) < _current_date - INTERVAL '60 day') AND
+                         (hd.date_last_received_calc IS NULL OR hd.date_last_received_calc < _current_date - INTERVAL '60 day') AND
+                         COALESCE(ooi.on_order_qty, 0) = 0 THEN 'At Risk'
+                         
+                    -- Check for 'At Risk' - hasn't sold in a long time
+                    WHEN COALESCE(ci.date_last_sold, hd.max_order_date) IS NOT NULL 
+                      AND COALESCE(ci.date_last_sold, hd.max_order_date) < (_current_date - INTERVAL '90 days')
+                      AND (CASE 
+                            WHEN ci.created_at IS NULL AND hd.date_first_sold IS NULL THEN 0
+                            WHEN ci.created_at IS NULL THEN (_current_date - hd.date_first_sold)::integer
+                            WHEN hd.date_first_sold IS NULL THEN (_current_date - ci.created_at::date)::integer
+                            ELSE (_current_date - LEAST(ci.created_at::date, hd.date_first_sold))::integer
+                          END) > 180 THEN 'At Risk'
+                          
+                    -- Very high stock cover is at risk too
+                    WHEN (ci.current_stock / NULLIF(calculate_sales_velocity(sa.sales_30d::int, sa.stockout_days_30d::int), 0)) > 365 THEN 'At Risk'
+                         
+                    -- New products (less than 30 days old)
+                    WHEN (CASE 
+                           WHEN ci.created_at IS NULL AND hd.date_first_sold IS NULL THEN 0
+                           WHEN ci.created_at IS NULL THEN (_current_date - hd.date_first_sold)::integer
+                           WHEN hd.date_first_sold IS NULL THEN (_current_date - ci.created_at::date)::integer
+                           ELSE (_current_date - LEAST(ci.created_at::date, hd.date_first_sold))::integer
+                         END) <= 30 THEN 'New'
+                         
+                    -- If none of the above, assume Healthy
+                    ELSE 'Healthy'
+                END
+        END AS status,
+
+        -- Growth Metrics (P3) - using safe_divide and std_numeric for consistency
+        std_numeric(safe_divide((sa.sales_30d - ppm.sales_prev_30d) * 100.0, ppm.sales_prev_30d), 2) AS sales_growth_30d_vs_prev,
+        std_numeric(safe_divide((sa.revenue_30d - ppm.revenue_prev_30d) * 100.0, ppm.revenue_prev_30d), 2) AS revenue_growth_30d_vs_prev,
+        std_numeric(safe_divide((sa.sales_30d - ppm.sales_30d_last_year) * 100.0, ppm.sales_30d_last_year), 2) AS sales_growth_yoy,
+        std_numeric(safe_divide((sa.revenue_30d - ppm.revenue_30d_last_year) * 100.0, ppm.revenue_30d_last_year), 2) AS revenue_growth_yoy,
+
+        -- Demand Variability (P3)
+        std_numeric(dv.sales_variance, 2) AS sales_variance_30d,
+        std_numeric(dv.sales_std_dev, 2) AS sales_std_dev_30d,
+        std_numeric(dv.sales_cv, 2) AS sales_cv_30d,
+        classify_demand_pattern(dv.avg_daily_sales, dv.sales_cv) AS demand_pattern,
+
+        -- Service Levels (P5)
+        std_numeric(COALESCE(sl.fill_rate_30d, 100), 2) AS fill_rate_30d,
+        COALESCE(sl.stockout_incidents_30d, 0)::int AS stockout_incidents_30d,
+        std_numeric(COALESCE(sl.service_level_30d, 100), 2) AS service_level_30d,
+        COALESCE(sl.lost_sales_incidents_30d, 0)::int AS lost_sales_incidents_30d,
+
+        -- Seasonality (P5)
+        std_numeric(season.seasonality_index, 2) AS seasonality_index,
+        COALESCE(season.seasonal_pattern, 'none') AS seasonal_pattern,
+        season.peak_season
+
+    FROM CurrentInfo ci
+    LEFT JOIN OnOrderInfo ooi ON ci.pid = ooi.pid
+    LEFT JOIN HistoricalDates hd ON ci.pid = hd.pid
+    LEFT JOIN SnapshotAggregates sa ON ci.pid = sa.pid
+    LEFT JOIN FirstPeriodMetrics fpm ON ci.pid = fpm.pid
+    LEFT JOIN Settings s ON ci.pid = s.pid
+    LEFT JOIN LifetimeRevenue lr ON ci.pid = lr.pid
+    LEFT JOIN PreviousPeriodMetrics ppm ON ci.pid = ppm.pid
+    LEFT JOIN DemandVariability dv ON ci.pid = dv.pid
+    LEFT JOIN ServiceLevels sl ON ci.pid = sl.pid
+    LEFT JOIN SeasonalityAnalysis season ON ci.pid = season.pid
+    WHERE s.exclude_forecast IS FALSE OR s.exclude_forecast IS NULL -- Exclude products explicitly marked
+
+    ON CONFLICT (pid) DO UPDATE SET
+        last_calculated = EXCLUDED.last_calculated,
+        sku = EXCLUDED.sku, title = EXCLUDED.title, brand = EXCLUDED.brand, vendor = EXCLUDED.vendor, image_url = EXCLUDED.image_url, is_visible = EXCLUDED.is_visible, is_replenishable = EXCLUDED.is_replenishable,
+        barcode = EXCLUDED.barcode, harmonized_tariff_code = EXCLUDED.harmonized_tariff_code, vendor_reference = EXCLUDED.vendor_reference, notions_reference = EXCLUDED.notions_reference, line = EXCLUDED.line, subline = EXCLUDED.subline, artist = EXCLUDED.artist,
+        moq = EXCLUDED.moq, rating = EXCLUDED.rating, reviews = EXCLUDED.reviews, weight = EXCLUDED.weight, length = EXCLUDED.length, width = EXCLUDED.width, height = EXCLUDED.height, country_of_origin = EXCLUDED.country_of_origin, location = EXCLUDED.location,
+        baskets = EXCLUDED.baskets, notifies = EXCLUDED.notifies, preorder_count = EXCLUDED.preorder_count, notions_inv_count = EXCLUDED.notions_inv_count,
+        current_price = EXCLUDED.current_price, current_regular_price = EXCLUDED.current_regular_price, current_cost_price = EXCLUDED.current_cost_price, current_landing_cost_price = EXCLUDED.current_landing_cost_price,
+        current_stock = EXCLUDED.current_stock, current_stock_cost = EXCLUDED.current_stock_cost, current_stock_retail = EXCLUDED.current_stock_retail, current_stock_gross = EXCLUDED.current_stock_gross,
+        on_order_qty = EXCLUDED.on_order_qty, on_order_cost = EXCLUDED.on_order_cost, on_order_retail = EXCLUDED.on_order_retail, earliest_expected_date = EXCLUDED.earliest_expected_date,
+        date_created = EXCLUDED.date_created, date_first_received = EXCLUDED.date_first_received, date_last_received = EXCLUDED.date_last_received, date_first_sold = EXCLUDED.date_first_sold, date_last_sold = EXCLUDED.date_last_sold, age_days = EXCLUDED.age_days,
+        sales_7d = EXCLUDED.sales_7d, revenue_7d = EXCLUDED.revenue_7d, sales_14d = EXCLUDED.sales_14d, revenue_14d = EXCLUDED.revenue_14d, sales_30d = EXCLUDED.sales_30d, revenue_30d = EXCLUDED.revenue_30d, cogs_30d = EXCLUDED.cogs_30d, profit_30d = EXCLUDED.profit_30d,
+        returns_units_30d = EXCLUDED.returns_units_30d, returns_revenue_30d = EXCLUDED.returns_revenue_30d, discounts_30d = EXCLUDED.discounts_30d, gross_revenue_30d = EXCLUDED.gross_revenue_30d, gross_regular_revenue_30d = EXCLUDED.gross_regular_revenue_30d,
+        stockout_days_30d = EXCLUDED.stockout_days_30d, sales_365d = EXCLUDED.sales_365d, revenue_365d = EXCLUDED.revenue_365d,
+        avg_stock_units_30d = EXCLUDED.avg_stock_units_30d, avg_stock_cost_30d = EXCLUDED.avg_stock_cost_30d, avg_stock_retail_30d = EXCLUDED.avg_stock_retail_30d, avg_stock_gross_30d = EXCLUDED.avg_stock_gross_30d,
+        received_qty_30d = EXCLUDED.received_qty_30d, received_cost_30d = EXCLUDED.received_cost_30d,
+        lifetime_sales = EXCLUDED.lifetime_sales, lifetime_revenue = EXCLUDED.lifetime_revenue, lifetime_revenue_quality = EXCLUDED.lifetime_revenue_quality,
+        first_7_days_sales = EXCLUDED.first_7_days_sales, first_7_days_revenue = EXCLUDED.first_7_days_revenue, first_30_days_sales = EXCLUDED.first_30_days_sales, first_30_days_revenue = EXCLUDED.first_30_days_revenue,
+        first_60_days_sales = EXCLUDED.first_60_days_sales, first_60_days_revenue = EXCLUDED.first_60_days_revenue, first_90_days_sales = EXCLUDED.first_90_days_sales, first_90_days_revenue = EXCLUDED.first_90_days_revenue,
+        asp_30d = EXCLUDED.asp_30d, acp_30d = EXCLUDED.acp_30d, avg_ros_30d = EXCLUDED.avg_ros_30d, avg_sales_per_day_30d = EXCLUDED.avg_sales_per_day_30d, avg_sales_per_month_30d = EXCLUDED.avg_sales_per_month_30d,
+        margin_30d = EXCLUDED.margin_30d, markup_30d = EXCLUDED.markup_30d, gmroi_30d = EXCLUDED.gmroi_30d, stockturn_30d = EXCLUDED.stockturn_30d, return_rate_30d = EXCLUDED.return_rate_30d, discount_rate_30d = EXCLUDED.discount_rate_30d,
+        stockout_rate_30d = EXCLUDED.stockout_rate_30d, markdown_30d = EXCLUDED.markdown_30d, markdown_rate_30d = EXCLUDED.markdown_rate_30d, sell_through_30d = EXCLUDED.sell_through_30d,
+        -- avg_lead_time_days = EXCLUDED.avg_lead_time_days, -- Updated Periodically
+        -- abc_class = EXCLUDED.abc_class, -- Updated Periodically
+        sales_velocity_daily = EXCLUDED.sales_velocity_daily, config_lead_time = EXCLUDED.config_lead_time, config_days_of_stock = EXCLUDED.config_days_of_stock, config_safety_stock = EXCLUDED.config_safety_stock,
+        planning_period_days = EXCLUDED.planning_period_days, lead_time_forecast_units = EXCLUDED.lead_time_forecast_units, days_of_stock_forecast_units = EXCLUDED.days_of_stock_forecast_units,
+        planning_period_forecast_units = EXCLUDED.planning_period_forecast_units, lead_time_closing_stock = EXCLUDED.lead_time_closing_stock, days_of_stock_closing_stock = EXCLUDED.days_of_stock_closing_stock,
+        replenishment_needed_raw = EXCLUDED.replenishment_needed_raw, replenishment_units = EXCLUDED.replenishment_units, replenishment_cost = EXCLUDED.replenishment_cost, replenishment_retail = EXCLUDED.replenishment_retail, replenishment_profit = EXCLUDED.replenishment_profit,
+        to_order_units = EXCLUDED.to_order_units, forecast_lost_sales_units = EXCLUDED.forecast_lost_sales_units, forecast_lost_revenue = EXCLUDED.forecast_lost_revenue,
+        stock_cover_in_days = EXCLUDED.stock_cover_in_days, po_cover_in_days = EXCLUDED.po_cover_in_days, sells_out_in_days = EXCLUDED.sells_out_in_days, replenish_date = EXCLUDED.replenish_date,
+        overstocked_units = EXCLUDED.overstocked_units, overstocked_cost = EXCLUDED.overstocked_cost, overstocked_retail = EXCLUDED.overstocked_retail, is_old_stock = EXCLUDED.is_old_stock,
+        yesterday_sales = EXCLUDED.yesterday_sales,
+        status = EXCLUDED.status,
+        sales_growth_30d_vs_prev = EXCLUDED.sales_growth_30d_vs_prev,
+        revenue_growth_30d_vs_prev = EXCLUDED.revenue_growth_30d_vs_prev,
+        sales_growth_yoy = EXCLUDED.sales_growth_yoy,
+        revenue_growth_yoy = EXCLUDED.revenue_growth_yoy,
+        sales_variance_30d = EXCLUDED.sales_variance_30d,
+        sales_std_dev_30d = EXCLUDED.sales_std_dev_30d,
+        sales_cv_30d = EXCLUDED.sales_cv_30d,
+        demand_pattern = EXCLUDED.demand_pattern,
+        fill_rate_30d = EXCLUDED.fill_rate_30d,
+        stockout_incidents_30d = EXCLUDED.stockout_incidents_30d,
+        service_level_30d = EXCLUDED.service_level_30d,
+        lost_sales_incidents_30d = EXCLUDED.lost_sales_incidents_30d,
+        seasonality_index = EXCLUDED.seasonality_index,
+        seasonal_pattern = EXCLUDED.seasonal_pattern,
+        peak_season = EXCLUDED.peak_season
+        WHERE -- Only update if at least one key metric has changed
+            product_metrics.current_stock IS DISTINCT FROM EXCLUDED.current_stock OR
+            product_metrics.current_price IS DISTINCT FROM EXCLUDED.current_price OR
+            product_metrics.current_cost_price IS DISTINCT FROM EXCLUDED.current_cost_price OR
+            product_metrics.on_order_qty IS DISTINCT FROM EXCLUDED.on_order_qty OR
+            product_metrics.sales_7d IS DISTINCT FROM EXCLUDED.sales_7d OR
+            product_metrics.sales_30d IS DISTINCT FROM EXCLUDED.sales_30d OR
+            product_metrics.revenue_30d IS DISTINCT FROM EXCLUDED.revenue_30d OR
+            product_metrics.status IS DISTINCT FROM EXCLUDED.status OR
+            product_metrics.replenishment_units IS DISTINCT FROM EXCLUDED.replenishment_units OR
+            product_metrics.stock_cover_in_days IS DISTINCT FROM EXCLUDED.stock_cover_in_days OR
+            product_metrics.yesterday_sales IS DISTINCT FROM EXCLUDED.yesterday_sales OR
+            -- Check a few other important fields that might change
+            product_metrics.date_last_sold IS DISTINCT FROM EXCLUDED.date_last_sold OR
+            product_metrics.earliest_expected_date IS DISTINCT FROM EXCLUDED.earliest_expected_date OR
+            product_metrics.lifetime_sales IS DISTINCT FROM EXCLUDED.lifetime_sales OR
+            product_metrics.lifetime_revenue_quality IS DISTINCT FROM EXCLUDED.lifetime_revenue_quality
+        ;
+
+    -- Update the status table with the timestamp from the START of this run
+    UPDATE public.calculate_status
+    SET last_calculation_timestamp = _start_time
+    WHERE module_name = _module_name;
+
+    RAISE NOTICE 'Finished % module. Duration: %', _module_name, clock_timestamp() - _start_time;
+
+END $$;
+
+-- Return metrics about the update operation
+WITH update_stats AS (
+    SELECT 
+        COUNT(*) as total_products,
+        COUNT(*) FILTER (WHERE last_calculated >= NOW() - INTERVAL '5 minutes') as rows_processed,
+        COUNT(*) FILTER (WHERE status = 'Critical') as critical_count,
+        COUNT(*) FILTER (WHERE status = 'Reorder Soon') as reorder_soon_count,
+        COUNT(*) FILTER (WHERE status = 'Healthy') as healthy_count,
+        COUNT(*) FILTER (WHERE status = 'Overstock') as overstock_count,
+        COUNT(*) FILTER (WHERE status = 'At Risk') as at_risk_count,
+        COUNT(*) FILTER (WHERE status = 'New') as new_count
+    FROM public.product_metrics
+)
+SELECT 
+    rows_processed,
+    total_products,
+    critical_count,
+    reorder_soon_count,
+    healthy_count,
+    overstock_count,
+    at_risk_count,
+    new_count,
+    ROUND((rows_processed::numeric / NULLIF(total_products, 0)) * 100, 2) as update_percentage
+FROM update_stats;

inventory-server/scripts/metrics-new/utils/db.js

@@ -0,0 +1,39 @@
+const { Pool } = require('pg');
+const path = require('path');
+require('dotenv').config({ path: path.resolve(__dirname, '../../..', '.env') });
+
+// Database configuration
+const dbConfig = {
+    host: process.env.DB_HOST,
+    user: process.env.DB_USER,
+    password: process.env.DB_PASSWORD,
+    database: process.env.DB_NAME,
+    port: process.env.DB_PORT || 5432,
+    ssl: process.env.DB_SSL === 'true',
+    // Add performance optimizations
+    max: 10, // connection pool max size
+    idleTimeoutMillis: 30000,
+    connectionTimeoutMillis: 60000
+};
+
+// Create a single pool instance to be reused
+const pool = new Pool(dbConfig);
+
+// Add event handlers for pool
+pool.on('error', (err, client) => {
+    console.error('Unexpected error on idle client', err);
+});
+
+async function getConnection() {
+    return await pool.connect();
+}
+
+async function closePool() {
+    await pool.end();
+}
+
+module.exports = {
+    dbConfig,
+    getConnection,
+    closePool
+}; 

inventory-server/scripts/metrics-new/utils/progress.js

@@ -0,0 +1,183 @@
+const fs = require('fs');
+const path = require('path');
+
+// Helper function to format elapsed time
+function formatElapsedTime(startTime) {
+    let elapsed;
+    
+    // If startTime is a timestamp (number representing milliseconds since epoch)
+    if (typeof startTime === 'number') {
+        // Check if it's a timestamp (will be a large number like 1700000000000)
+        if (startTime > 1000000000) { // timestamps are in milliseconds since 1970
+            elapsed = Date.now() - startTime;
+        } else {
+            // Assume it's already elapsed milliseconds
+            elapsed = startTime;
+        }
+    } else if (startTime instanceof Date) {
+        elapsed = Date.now() - startTime.getTime();
+    } else {
+        // Default to 0 if invalid input
+        elapsed = 0;
+    }
+    
+    const seconds = Math.floor(elapsed / 1000);
+    const minutes = Math.floor(seconds / 60);
+    const hours = Math.floor(minutes / 60);
+    
+    if (hours > 0) {
+        return `${hours}h ${minutes % 60}m ${seconds % 60}s`;
+    } else if (minutes > 0) {
+        return `${minutes}m ${seconds % 60}s`;
+    } else {
+        return `${seconds}s`;
+    }
+}
+
+// Helper function to estimate remaining time
+function estimateRemaining(startTime, current, total) {
+    // Handle edge cases
+    if (!current || current === 0 || !total || total === 0 || current >= total) {
+        return null;
+    }
+    
+    // Calculate elapsed time in milliseconds
+    const elapsed = Date.now() - startTime;
+    if (elapsed <= 0) return null;
+    
+    // Calculate rate (items per millisecond)
+    const rate = current / elapsed;
+    if (rate <= 0) return null;
+    
+    // Calculate remaining time in milliseconds
+    const remaining = (total - current) / rate;
+    
+    // Convert to readable format
+    const seconds = Math.floor(remaining / 1000);
+    const minutes = Math.floor(seconds / 60);
+    const hours = Math.floor(minutes / 60);
+    
+    if (hours > 0) {
+        return `${hours}h ${minutes % 60}m`;
+    } else if (minutes > 0) {
+        return `${minutes}m ${seconds % 60}s`;
+    } else {
+        return `${seconds}s`;
+    }
+}
+
+// Helper function to calculate rate
+function calculateRate(startTime, current) {
+    const elapsed = (Date.now() - startTime) / 1000; // Convert to seconds
+    return elapsed > 0 ? Math.round(current / elapsed) : 0;
+}
+
+// Set up logging
+const LOG_DIR = path.join(__dirname, '../../../logs');
+const ERROR_LOG = path.join(LOG_DIR, 'import-errors.log');
+const IMPORT_LOG = path.join(LOG_DIR, 'import.log');
+const STATUS_FILE = path.join(LOG_DIR, 'metrics-status.json');
+
+// Ensure log directory exists
+if (!fs.existsSync(LOG_DIR)) {
+    fs.mkdirSync(LOG_DIR, { recursive: true });
+}
+
+// Helper function to log errors
+function logError(error, context = '') {
+    const timestamp = new Date().toISOString();
+    const errorMessage = `[${timestamp}] ${context}\nError: ${error.message}\nStack: ${error.stack}\n\n`;
+    
+    // Log to error file
+    fs.appendFileSync(ERROR_LOG, errorMessage);
+    
+    // Also log to console
+    console.error(`\n${context}\nError: ${error.message}`);
+}
+
+// Helper function to log import progress
+function logImport(message) {
+    const timestamp = new Date().toISOString();
+    const logMessage = `[${timestamp}] ${message}\n`;
+    fs.appendFileSync(IMPORT_LOG, logMessage);
+}
+
+// Helper function to output progress
+function outputProgress(data) {
+    // Save progress to file for resumption
+    saveProgress(data);
+    // Format as SSE event
+    const event = {
+        progress: data
+    };
+    // Always send to stdout for frontend
+    process.stdout.write(JSON.stringify(event) + '\n');
+    
+    // Log significant events to disk
+    const isSignificant = 
+        // Operation starts
+        (data.operation && !data.current) ||
+        // Operation completions and errors
+        data.status === 'complete' || 
+        data.status === 'error' ||
+        // Major phase changes
+        data.operation?.includes('Starting ABC classification') ||
+        data.operation?.includes('Starting time-based aggregates') ||
+        data.operation?.includes('Starting vendor metrics');
+    
+    if (isSignificant) {
+        logImport(`${data.operation || 'Operation'}${data.message ? ': ' + data.message : ''}${data.error ? ' Error: ' + data.error : ''}${data.status ? ' Status: ' + data.status : ''}`);
+    }
+}
+
+function saveProgress(progress) {
+    try {
+        fs.writeFileSync(STATUS_FILE, JSON.stringify({
+            ...progress,
+            timestamp: Date.now()
+        }));
+    } catch (err) {
+        console.error('Failed to save progress:', err);
+    }
+}
+
+function clearProgress() {
+    try {
+        if (fs.existsSync(STATUS_FILE)) {
+            fs.unlinkSync(STATUS_FILE);
+        }
+    } catch (err) {
+        console.error('Failed to clear progress:', err);
+    }
+}
+
+function getProgress() {
+    try {
+        if (fs.existsSync(STATUS_FILE)) {
+            const progress = JSON.parse(fs.readFileSync(STATUS_FILE, 'utf8'));
+            // Check if the progress is still valid (less than 1 hour old)
+            if (progress.timestamp && Date.now() - progress.timestamp < 3600000) {
+                return progress;
+            } else {
+                // Clear old progress
+                clearProgress();
+            }
+        }
+    } catch (err) {
+        console.error('Failed to read progress:', err);
+        clearProgress();
+    }
+    return null;
+}
+
+module.exports = {
+    formatElapsedTime,
+    estimateRemaining,
+    calculateRate,
+    logError,
+    logImport,
+    outputProgress,
+    saveProgress,
+    clearProgress,
+    getProgress
+}; 

inventory-server/scripts/reset-db.js

@@ -13,6 +13,22 @@ const dbConfig = {
     port: process.env.DB_PORT || 5432
 };
 
+// Tables to always protect from being dropped
+const PROTECTED_TABLES = [
+    'users', 
+    'permissions', 
+    'user_permissions', 
+    'calculate_history', 
+    'import_history', 
+    'ai_prompts', 
+    'ai_validation_performance', 
+    'templates', 
+    'reusable_images',
+    'imported_daily_inventory',
+    'imported_product_stat_history',
+    'imported_product_current_prices'
+];
+
 // Helper function to output progress in JSON format
 function outputProgress(data) {
     if (!data.status) {
@@ -33,17 +49,6 @@ const CORE_TABLES = [
     'product_categories'
 ];
 
-// Config tables that must be created
-const CONFIG_TABLES = [
-    'stock_thresholds',
-    'lead_time_thresholds',
-    'sales_velocity_config',
-    'abc_classification_config',
-    'safety_stock_config',
-    'sales_seasonality',
-    'turnover_config'
-];
-
 // Split SQL into individual statements
 function splitSQLStatements(sql) {
     // First, normalize line endings
@@ -184,8 +189,8 @@ async function resetDatabase() {
             SELECT string_agg(tablename, ', ') as tables
             FROM pg_tables
             WHERE schemaname = 'public'
-            AND tablename NOT IN ('users', 'permissions', 'user_permissions', 'calculate_history', 'import_history', 'ai_prompts', 'ai_validation_performance', 'templates');
-        `);
+            AND tablename NOT IN (SELECT unnest($1::text[]));
+        `, [PROTECTED_TABLES]);
 
         if (!tablesResult.rows[0].tables) {
             outputProgress({
@@ -204,7 +209,7 @@ async function resetDatabase() {
             // Drop all tables except users
             const tables = tablesResult.rows[0].tables.split(', ');
             for (const table of tables) {
-                if (!['users'].includes(table)) {
+                if (!PROTECTED_TABLES.includes(table)) {
                     await client.query(`DROP TABLE IF EXISTS "${table}" CASCADE`);
                 }
             }
@@ -259,7 +264,9 @@ async function resetDatabase() {
                     'category_metrics',
                     'brand_metrics',
                     'sales_forecasts',
-                    'abc_classification'
+                    'abc_classification',
+                    'daily_snapshots',
+                    'periodic_metrics'
                 )
             `);
         }
@@ -301,6 +308,9 @@ async function resetDatabase() {
             }
         });
 
+        // Start a transaction for better error handling
+        await client.query('BEGIN');
+        try {
             for (let i = 0; i < statements.length; i++) {
                 const stmt = statements[i];
                 try {
@@ -336,7 +346,14 @@ async function resetDatabase() {
                             rowCount: result.rowCount
                         }
                     });
+                    
+                    // Commit in chunks of 10 statements to avoid long-running transactions
+                    if (i > 0 && i % 10 === 0) {
+                        await client.query('COMMIT');
+                        await client.query('BEGIN');
+                    }
                 } catch (sqlError) {
+                    await client.query('ROLLBACK');
                     outputProgress({
                         status: 'error',
                         operation: 'SQL Error',
@@ -347,6 +364,12 @@ async function resetDatabase() {
                     throw sqlError;
                 }
             }
+            // Commit the final transaction
+            await client.query('COMMIT');
+        } catch (error) {
+            await client.query('ROLLBACK');
+            throw error;
+        }
 
         // Verify core tables were created
         const existingTables = (await client.query(`
@@ -383,10 +406,24 @@ async function resetDatabase() {
             operation: 'Running config setup',
             message: 'Creating configuration tables...'
         });
-        const configSchemaSQL = fs.readFileSync(
-            path.join(__dirname, '../db/config-schema.sql'),
-            'utf8'
-        );
+        const configSchemaPath = path.join(__dirname, '../db/config-schema-new.sql');
+        
+        // Verify file exists
+        if (!fs.existsSync(configSchemaPath)) {
+            throw new Error(`Config schema file not found at: ${configSchemaPath}`);
+        }
+        
+        const configSchemaSQL = fs.readFileSync(configSchemaPath, 'utf8');
+        
+        outputProgress({
+            operation: 'Config Schema file',
+            message: {
+                path: configSchemaPath,
+                exists: fs.existsSync(configSchemaPath),
+                size: fs.statSync(configSchemaPath).size,
+                firstFewLines: configSchemaSQL.split('\n').slice(0, 5).join('\n')
+            }
+        });
 
         // Execute config schema statements one at a time
         const configStatements = splitSQLStatements(configSchemaSQL);
@@ -401,6 +438,9 @@ async function resetDatabase() {
             }
         });
 
+        // Start a transaction for better error handling
+        await client.query('BEGIN');
+        try {
             for (let i = 0; i < configStatements.length; i++) {
                 const stmt = configStatements[i];
                 try {
@@ -415,7 +455,14 @@ async function resetDatabase() {
                             rowCount: result.rowCount
                         }
                     });
+                    
+                    // Commit in chunks of 10 statements to avoid long-running transactions
+                    if (i > 0 && i % 10 === 0) {
+                        await client.query('COMMIT');
+                        await client.query('BEGIN');
+                    }
                 } catch (sqlError) {
+                    await client.query('ROLLBACK');
                     outputProgress({
                         status: 'error',
                         operation: 'Config SQL Error',
@@ -426,16 +473,36 @@ async function resetDatabase() {
                     throw sqlError;
                 }
             }
+            // Commit the final transaction
+            await client.query('COMMIT');
+        } catch (error) {
+            await client.query('ROLLBACK');
+            throw error;
+        }
 
         // Read and execute metrics schema (metrics tables)
         outputProgress({
             operation: 'Running metrics setup',
             message: 'Creating metrics tables...'
         });
-        const metricsSchemaSQL = fs.readFileSync(
-            path.join(__dirname, '../db/metrics-schema.sql'),
-            'utf8'
-        );
+        const metricsSchemaPath = path.join(__dirname, '../db/metrics-schema-new.sql');
+        
+        // Verify file exists
+        if (!fs.existsSync(metricsSchemaPath)) {
+            throw new Error(`Metrics schema file not found at: ${metricsSchemaPath}`);
+        }
+        
+        const metricsSchemaSQL = fs.readFileSync(metricsSchemaPath, 'utf8');
+        
+        outputProgress({
+            operation: 'Metrics Schema file',
+            message: {
+                path: metricsSchemaPath,
+                exists: fs.existsSync(metricsSchemaPath),
+                size: fs.statSync(metricsSchemaPath).size,
+                firstFewLines: metricsSchemaSQL.split('\n').slice(0, 5).join('\n')
+            }
+        });
 
         // Execute metrics schema statements one at a time
         const metricsStatements = splitSQLStatements(metricsSchemaSQL);
@@ -450,6 +517,9 @@ async function resetDatabase() {
             }
         });
 
+        // Start a transaction for better error handling
+        await client.query('BEGIN');
+        try {
             for (let i = 0; i < metricsStatements.length; i++) {
                 const stmt = metricsStatements[i];
                 try {
@@ -464,7 +534,14 @@ async function resetDatabase() {
                             rowCount: result.rowCount
                         }
                     });
+                    
+                    // Commit in chunks of 10 statements to avoid long-running transactions
+                    if (i > 0 && i % 10 === 0) {
+                        await client.query('COMMIT');
+                        await client.query('BEGIN');
+                    }
                 } catch (sqlError) {
+                    await client.query('ROLLBACK');
                     outputProgress({
                         status: 'error',
                         operation: 'Metrics SQL Error',
@@ -475,6 +552,12 @@ async function resetDatabase() {
                     throw sqlError;
                 }
             }
+            // Commit the final transaction
+            await client.query('COMMIT');
+        } catch (error) {
+            await client.query('ROLLBACK');
+            throw error;
+        }
 
         outputProgress({
             status: 'complete',
@@ -490,6 +573,14 @@ async function resetDatabase() {
         });
         process.exit(1);
     } finally {
+        // Make sure to re-enable foreign key checks if they were disabled
+        try {
+            await client.query('SET session_replication_role = \'origin\'');
+        } catch (e) {
+            console.error('Error re-enabling foreign key checks:', e.message);
+        }
+        
+        // Close the database connection
         await client.end();
     }
 }

inventory-server/scripts/reset-metrics-new.js

@@ -0,0 +1,384 @@
+const { Client } = require('pg');
+const path = require('path');
+const fs = require('fs');
+require('dotenv').config({ path: path.resolve(__dirname, '../.env') });
+
+const dbConfig = {
+    host: process.env.DB_HOST,
+    user: process.env.DB_USER,
+    password: process.env.DB_PASSWORD,
+    database: process.env.DB_NAME,
+    port: process.env.DB_PORT || 5432
+};
+
+function outputProgress(data) {
+    if (!data.status) {
+        data = {
+            status: 'running',
+            ...data
+        };
+    }
+    console.log(JSON.stringify(data));
+}
+
+// Tables to always protect from being dropped
+const PROTECTED_TABLES = [
+    'users', 
+    'permissions', 
+    'user_permissions', 
+    'calculate_history', 
+    'import_history', 
+    'ai_prompts', 
+    'ai_validation_performance', 
+    'templates', 
+    'reusable_images',
+    'imported_daily_inventory',
+    'imported_product_stat_history',
+    'imported_product_current_prices'
+];
+
+// Split SQL into individual statements
+function splitSQLStatements(sql) {
+    sql = sql.replace(/\r\n/g, '\n');
+    let statements = [];
+    let currentStatement = '';
+    let inString = false;
+    let stringChar = '';
+    
+    for (let i = 0; i < sql.length; i++) {
+        const char = sql[i];
+        const nextChar = sql[i + 1] || '';
+        
+        if ((char === "'" || char === '"') && sql[i - 1] !== '\\') {
+            if (!inString) {
+                inString = true;
+                stringChar = char;
+            } else if (char === stringChar) {
+                inString = false;
+            }
+        }
+        
+        if (!inString && char === '-' && nextChar === '-') {
+            while (i < sql.length && sql[i] !== '\n') i++;
+            continue;
+        }
+        
+        if (!inString && char === '/' && nextChar === '*') {
+            i += 2;
+            while (i < sql.length && (sql[i] !== '*' || sql[i + 1] !== '/')) i++;
+            i++;
+            continue;
+        }
+        
+        if (!inString && char === ';') {
+            if (currentStatement.trim()) {
+                statements.push(currentStatement.trim());
+            }
+            currentStatement = '';
+        } else {
+            currentStatement += char;
+        }
+    }
+    
+    if (currentStatement.trim()) {
+        statements.push(currentStatement.trim());
+    }
+    
+    return statements;
+}
+
+async function resetMetrics() {
+    let client;
+    try {
+        outputProgress({
+            operation: 'Starting metrics reset',
+            message: 'Connecting to database...'
+        });
+
+        client = new Client(dbConfig);
+        await client.connect();
+        
+        // Get metrics tables from the schema file by looking for CREATE TABLE statements
+        const schemaPath = path.resolve(__dirname, '../db/metrics-schema-new.sql');
+        if (!fs.existsSync(schemaPath)) {
+            throw new Error(`Schema file not found at: ${schemaPath}`);
+        }
+        
+        const schemaSQL = fs.readFileSync(schemaPath, 'utf8');
+        const createTableRegex = /create\s+table\s+(?:if\s+not\s+exists\s+)?["]?(?:public\.)?(\w+)["]?/gi;
+        let metricsTables = [];
+        let match;
+        
+        while ((match = createTableRegex.exec(schemaSQL)) !== null) {
+            if (match[1] && !PROTECTED_TABLES.includes(match[1])) {
+                metricsTables.push(match[1]);
+            }
+        }
+        
+        if (metricsTables.length === 0) {
+            throw new Error('No tables found in the schema file');
+        }
+        
+        outputProgress({
+            operation: 'Schema analysis',
+            message: `Found ${metricsTables.length} metrics tables in schema: ${metricsTables.join(', ')}`
+        });
+
+        // Explicitly begin a transaction
+        await client.query('BEGIN');
+
+        // First verify current state
+        const initialTables = await client.query(`
+            SELECT tablename as name
+            FROM pg_tables 
+            WHERE schemaname = 'public'
+            AND tablename = ANY($1)
+            AND tablename NOT IN (SELECT unnest($2::text[]))
+        `, [metricsTables, PROTECTED_TABLES]);
+
+        outputProgress({
+            operation: 'Initial state',
+            message: `Found ${initialTables.rows.length} existing metrics tables: ${initialTables.rows.map(t => t.name).join(', ')}`
+        });
+
+        // Disable foreign key checks at the start
+        await client.query('SET session_replication_role = \'replica\'');
+
+        // Drop all metrics tables in reverse order to handle dependencies
+        outputProgress({
+            operation: 'Dropping metrics tables',
+            message: 'Removing existing metrics tables...'
+        });
+
+        // Reverse the array to handle dependencies properly
+        for (const table of [...metricsTables].reverse()) {
+            // Skip protected tables (redundant check)
+            if (PROTECTED_TABLES.includes(table)) {
+                outputProgress({
+                    operation: 'Protected table',
+                    message: `Skipping protected table: ${table}`
+                });
+                continue;
+            }
+            
+            try {
+                // Use NOWAIT to avoid hanging if there's a lock
+                await client.query(`DROP TABLE IF EXISTS "${table}" CASCADE`);
+                
+                // Verify the table was actually dropped
+                const checkDrop = await client.query(`
+                    SELECT COUNT(*) as count 
+                    FROM pg_tables 
+                    WHERE schemaname = 'public' 
+                    AND tablename = $1
+                `, [table]);
+                
+                if (parseInt(checkDrop.rows[0].count) > 0) {
+                    throw new Error(`Failed to drop table ${table} - table still exists`);
+                }
+
+                outputProgress({
+                    operation: 'Table dropped',
+                    message: `Successfully dropped table: ${table}`
+                });
+                
+                // Commit after each table drop to ensure locks are released
+                await client.query('COMMIT');
+                // Start a new transaction for the next table
+                await client.query('BEGIN');
+                // Re-disable foreign key constraints for the new transaction
+                await client.query('SET session_replication_role = \'replica\'');
+            } catch (err) {
+                outputProgress({
+                    status: 'error',
+                    operation: 'Drop table error',
+                    message: `Error dropping table ${table}: ${err.message}`
+                });
+                await client.query('ROLLBACK');
+                // Re-start transaction for next table
+                await client.query('BEGIN');
+                await client.query('SET session_replication_role = \'replica\'');
+            }
+        }
+
+        // Verify all tables were dropped
+        const afterDrop = await client.query(`
+            SELECT tablename as name
+            FROM pg_tables 
+            WHERE schemaname = 'public'
+            AND tablename = ANY($1)
+        `, [metricsTables]);
+
+        if (afterDrop.rows.length > 0) {
+            throw new Error(`Failed to drop all tables. Remaining tables: ${afterDrop.rows.map(t => t.name).join(', ')}`);
+        }
+
+        // Make sure we have a fresh transaction here
+        await client.query('COMMIT');
+        await client.query('BEGIN');
+        await client.query('SET session_replication_role = \'replica\'');
+
+        // Read metrics schema
+        outputProgress({
+            operation: 'Reading schema',
+            message: 'Loading metrics schema file...'
+        });
+
+        const statements = splitSQLStatements(schemaSQL);
+
+        outputProgress({
+            operation: 'Schema loaded',
+            message: `Found ${statements.length} SQL statements to execute`
+        });
+
+        // Execute schema statements
+        for (let i = 0; i < statements.length; i++) {
+            const stmt = statements[i];
+            try {
+                const result = await client.query(stmt);
+
+                // If this is a CREATE TABLE statement, verify the table was created
+                if (stmt.trim().toLowerCase().startsWith('create table')) {
+                    const tableName = stmt.match(/create\s+table\s+(?:if\s+not\s+exists\s+)?["]?(?:public\.)?(\w+)["]?/i)?.[1];
+                    if (tableName) {
+                        const checkCreate = await client.query(`
+                            SELECT tablename as name
+                            FROM pg_tables 
+                            WHERE schemaname = 'public' 
+                            AND tablename = $1
+                        `, [tableName]);
+                        
+                        if (checkCreate.rows.length === 0) {
+                            throw new Error(`Failed to create table ${tableName} - table does not exist after CREATE statement`);
+                        }
+
+                        outputProgress({
+                            operation: 'Table created',
+                            message: `Successfully created table: ${tableName}`
+                        });
+                    }
+                }
+                
+                outputProgress({
+                    operation: 'SQL Progress',
+                    message: {
+                        statement: i + 1,
+                        total: statements.length,
+                        preview: stmt.substring(0, 100) + (stmt.length > 100 ? '...' : ''),
+                        rowCount: result.rowCount
+                    }
+                });
+                
+                // Commit every 10 statements to avoid long-running transactions
+                if (i > 0 && i % 10 === 0) {
+                    await client.query('COMMIT');
+                    await client.query('BEGIN');
+                    await client.query('SET session_replication_role = \'replica\'');
+                }
+            } catch (sqlError) {
+                outputProgress({
+                    status: 'error',
+                    operation: 'SQL Error',
+                    message: {
+                        error: sqlError.message,
+                        statement: stmt,
+                        statementNumber: i + 1
+                    }
+                });
+                await client.query('ROLLBACK');
+                throw sqlError;
+            }
+        }
+
+        // Final commit for any pending statements
+        await client.query('COMMIT');
+        
+        // Start new transaction for final checks
+        await client.query('BEGIN');
+
+        // Re-enable foreign key checks after all tables are created
+        await client.query('SET session_replication_role = \'origin\'');
+
+        // Verify metrics tables were created
+        outputProgress({
+            operation: 'Verifying metrics tables',
+            message: 'Checking all metrics tables were created...'
+        });
+
+        const metricsTablesResult = await client.query(`
+            SELECT tablename as name
+            FROM pg_tables 
+            WHERE schemaname = 'public'
+            AND tablename = ANY($1)
+        `, [metricsTables]);
+
+        outputProgress({
+            operation: 'Tables found',
+            message: `Found ${metricsTablesResult.rows.length} tables: ${metricsTablesResult.rows.map(t => t.name).join(', ')}`
+        });
+
+        const existingMetricsTables = metricsTablesResult.rows.map(t => t.name);
+        const missingMetricsTables = metricsTables.filter(t => !existingMetricsTables.includes(t));
+
+        if (missingMetricsTables.length > 0) {
+            // Do one final check of the actual tables
+            const finalCheck = await client.query(`
+                SELECT tablename as name
+                FROM pg_tables 
+                WHERE schemaname = 'public'
+            `);
+            outputProgress({
+                operation: 'Final table check',
+                message: `All database tables: ${finalCheck.rows.map(t => t.name).join(', ')}`
+            });
+            await client.query('ROLLBACK');
+            throw new Error(`Failed to create metrics tables: ${missingMetricsTables.join(', ')}`);
+        }
+
+        // Commit final transaction
+        await client.query('COMMIT');
+        
+        outputProgress({
+            status: 'complete',
+            operation: 'Reset complete',
+            message: 'All metrics tables have been reset successfully'
+        });
+    } catch (error) {
+        outputProgress({
+            status: 'error',
+            operation: 'Reset failed',
+            message: error.message,
+            stack: error.stack
+        });
+        
+        if (client) {
+            try {
+                await client.query('ROLLBACK');
+            } catch (rollbackError) {
+                console.error('Error during rollback:', rollbackError);
+            }
+            // Make sure to re-enable foreign key checks even if there's an error
+            await client.query('SET session_replication_role = \'origin\'').catch(() => {});
+        }
+        throw error;
+    } finally {
+        if (client) {
+            // One final attempt to ensure foreign key checks are enabled
+            await client.query('SET session_replication_role = \'origin\'').catch(() => {});
+            await client.end();
+        }
+    }
+}
+
+// Export if required as a module
+if (typeof module !== 'undefined' && module.exports) {
+    module.exports = resetMetrics;
+}
+
+// Run if called from command line
+if (require.main === module) {
+    resetMetrics().catch(error => {
+        console.error('Error:', error);
+        process.exit(1);
+    });
+} 

inventory-server/src/middleware/cors.js

@@ -4,7 +4,7 @@ const cors = require('cors');
 const corsMiddleware = cors({
   origin: [
     'https://inventory.kent.pw',
-    'http://localhost:5173',
+    'http://localhost:5175',
     /^http:\/\/192\.168\.\d+\.\d+(:\d+)?$/,
     /^http:\/\/10\.\d+\.\d+\.\d+(:\d+)?$/
   ],
@@ -26,7 +26,7 @@ const corsErrorHandler = (err, req, res, next) => {
     res.status(403).json({
       error: 'CORS not allowed',
       origin: req.get('Origin'),
-      message: 'Origin not in allowed list: https://inventory.kent.pw, localhost:5173, 192.168.x.x, or 10.x.x.x'
+      message: 'Origin not in allowed list: https://inventory.kent.pw, localhost:5175, 192.168.x.x, or 10.x.x.x'
     });
   } else {
     next(err);

inventory-server/src/routes/ai-prompts.js

@@ -51,83 +51,67 @@ router.get('/:id', async (req, res) => {
   }
 });
 
-// Get prompt by company
-router.get('/company/:companyId', async (req, res) => {
+// Get prompt by type (general, system, company_specific)
+router.get('/by-type', async (req, res) => {
   try {
-    const { companyId } = req.params;
+    const { type, company } = req.query;
     const pool = req.app.locals.pool;
+    
     if (!pool) {
       throw new Error('Database pool not initialized');
     }
     
-    const result = await pool.query(`
-      SELECT * FROM ai_prompts 
-      WHERE company = $1
-    `, [companyId]);
-
-    if (result.rows.length === 0) {
-      return res.status(404).json({ error: 'AI prompt not found for this company' });
+    // Validate prompt type
+    if (!type || !['general', 'system', 'company_specific'].includes(type)) {
+      return res.status(400).json({ 
+        error: 'Valid type query parameter is required (general, system, or company_specific)'
+      });
     }
     
+    // For company_specific type, company ID is required
+    if (type === 'company_specific' && !company) {
+      return res.status(400).json({
+        error: 'Company ID is required for company_specific prompt type'
+      });
+    }
+    
+    // For general and system types, company should not be provided
+    if ((type === 'general' || type === 'system') && company) {
+      return res.status(400).json({
+        error: 'Company ID should not be provided for general or system prompt types'
+      });
+    }
+    
+    // Build the query based on the type
+    let query, params;
+    if (type === 'company_specific') {
+      query = 'SELECT * FROM ai_prompts WHERE prompt_type = $1 AND company = $2';
+      params = [type, company];
+    } else {
+      query = 'SELECT * FROM ai_prompts WHERE prompt_type = $1';
+      params = [type];
+    }
+    
+    // Execute the query
+    const result = await pool.query(query, params);
+    
+    // Check if any prompt was found
+    if (result.rows.length === 0) {
+      let errorMessage;
+      if (type === 'company_specific') {
+        errorMessage = `AI prompt not found for company ${company}`;
+      } else {
+        errorMessage = `${type.charAt(0).toUpperCase() + type.slice(1)} AI prompt not found`;
+      }
+      return res.status(404).json({ error: errorMessage });
+    }
+    
+    // Return the first matching prompt
     res.json(result.rows[0]);
   } catch (error) {
-    console.error('Error fetching AI prompt by company:', error);
+    console.error('Error fetching AI prompt by type:', error);
     res.status(500).json({ 
-      error: 'Failed to fetch AI prompt by company',
-      details: error instanceof Error ? error.message : 'Unknown error'
-    });
-  }
-});
-
-// Get general prompt
-router.get('/type/general', async (req, res) => {
-  try {
-    const pool = req.app.locals.pool;
-    if (!pool) {
-      throw new Error('Database pool not initialized');
-    }
-    
-    const result = await pool.query(`
-      SELECT * FROM ai_prompts 
-      WHERE prompt_type = 'general'
-    `);
-
-    if (result.rows.length === 0) {
-      return res.status(404).json({ error: 'General AI prompt not found' });
-    }
-
-    res.json(result.rows[0]);
-  } catch (error) {
-    console.error('Error fetching general AI prompt:', error);
-    res.status(500).json({ 
-      error: 'Failed to fetch general AI prompt',
-      details: error instanceof Error ? error.message : 'Unknown error'
-    });
-  }
-});
-
-// Get system prompt
-router.get('/type/system', async (req, res) => {
-  try {
-    const pool = req.app.locals.pool;
-    if (!pool) {
-      throw new Error('Database pool not initialized');
-    }
-    
-    const result = await pool.query(`
-      SELECT * FROM ai_prompts 
-      WHERE prompt_type = 'system'
-    `);
-
-    if (result.rows.length === 0) {
-      return res.status(404).json({ error: 'System AI prompt not found' });
-    }
-
-    res.json(result.rows[0]);
-  } catch (error) {
-    console.error('Error fetching system AI prompt:', error);
-    res.status(500).json({ 
-      error: 'Failed to fetch system AI prompt',
+      error: 'Failed to fetch AI prompt',
       details: error instanceof Error ? error.message : 'Unknown error'
     });
   }

inventory-server/src/routes/ai-validation.js

@@ -6,6 +6,7 @@ const path = require("path");
 const dotenv = require("dotenv");
 const mysql = require('mysql2/promise');
 const { Client } = require('ssh2');
+const { getDbConnection } = require('../utils/dbConnection'); // Import the optimized connection function
 
 // Ensure environment variables are loaded
 dotenv.config({ path: path.join(__dirname, "../../.env") });
@@ -18,50 +19,6 @@ if (!process.env.OPENAI_API_KEY) {
   console.error("Warning: OPENAI_API_KEY is not set in environment variables");
 }
 
-// Helper function to setup SSH tunnel to production database
-async function setupSshTunnel() {
-  const sshConfig = {
-    host: process.env.PROD_SSH_HOST,
-    port: process.env.PROD_SSH_PORT || 22,
-    username: process.env.PROD_SSH_USER,
-    privateKey: process.env.PROD_SSH_KEY_PATH
-      ? require('fs').readFileSync(process.env.PROD_SSH_KEY_PATH)
-      : undefined,
-    compress: true
-  };
-
-  const dbConfig = {
-    host: process.env.PROD_DB_HOST || 'localhost',
-    user: process.env.PROD_DB_USER,
-    password: process.env.PROD_DB_PASSWORD,
-    database: process.env.PROD_DB_NAME,
-    port: process.env.PROD_DB_PORT || 3306,
-    timezone: 'Z'
-  };
-
-  return new Promise((resolve, reject) => {
-    const ssh = new Client();
-
-    ssh.on('error', (err) => {
-      console.error('SSH connection error:', err);
-      reject(err);
-    });
-
-    ssh.on('ready', () => {
-      ssh.forwardOut(
-        '127.0.0.1',
-        0,
-        dbConfig.host,
-        dbConfig.port,
-        (err, stream) => {
-          if (err) reject(err);
-          resolve({ ssh, stream, dbConfig });
-        }
-      );
-    }).connect(sshConfig);
-  });
-}
-
 // Debug endpoint for viewing prompt
 router.post("/debug", async (req, res) => {
   try {
@@ -195,16 +152,12 @@ async function generateDebugResponse(productsToUse, res) {
     // Load taxonomy data first
     console.log("Loading taxonomy data...");
     try {
-      // Setup MySQL connection via SSH tunnel
-      const tunnel = await setupSshTunnel();
-      ssh = tunnel.ssh;
+      // Use optimized database connection
+      const { connection, ssh: connSsh } = await getDbConnection();
+      mysqlConnection = connection;
+      ssh = connSsh;
       
-      mysqlConnection = await mysql.createConnection({
-        ...tunnel.dbConfig,
-        stream: tunnel.stream
-      });
-      
-      console.log("MySQL connection established successfully");
+      console.log("MySQL connection established successfully using optimized connection");
       
       taxonomy = await getTaxonomyData(mysqlConnection);
       console.log("Successfully loaded taxonomy data");
@@ -218,10 +171,6 @@ async function generateDebugResponse(productsToUse, res) {
         errno: taxonomyError.errno || null,
         sql: taxonomyError.sql || null,
       });
-    } finally {
-      // Make sure we close the connection
-      if (mysqlConnection) await mysqlConnection.end();
-      if (ssh) ssh.end();
     }
     
     // Verify the taxonomy data structure
@@ -282,11 +231,8 @@ async function generateDebugResponse(productsToUse, res) {
     console.log("Loading prompt...");
     
     // Setup a new connection for loading the prompt
-    const promptTunnel = await setupSshTunnel();
-    const promptConnection = await mysql.createConnection({
-      ...promptTunnel.dbConfig,
-      stream: promptTunnel.stream
-    });
+    // Use optimized connection instead of creating a new one
+    const { connection: promptConnection } = await getDbConnection();
     
     try {
       // Get the local PostgreSQL pool to fetch prompts
@@ -296,7 +242,7 @@ async function generateDebugResponse(productsToUse, res) {
         throw new Error("Database connection not available");
       }
 
-      // First, fetch the system prompt
+      // First, fetch the system prompt using the consolidated endpoint approach
       const systemPromptResult = await pool.query(`
         SELECT * FROM ai_prompts 
         WHERE prompt_type = 'system'
@@ -311,7 +257,7 @@ async function generateDebugResponse(productsToUse, res) {
         console.warn("⚠️ No system prompt found in database, will use default");
       }
 
-      // Then, fetch the general prompt
+      // Then, fetch the general prompt using the consolidated endpoint approach
       const generalPromptResult = await pool.query(`
         SELECT * FROM ai_prompts 
         WHERE prompt_type = 'general'
@@ -458,7 +404,6 @@ async function generateDebugResponse(productsToUse, res) {
       return response;
     } finally {
       if (promptConnection) await promptConnection.end();
-      if (promptTunnel.ssh) promptTunnel.ssh.end();
     }
   } catch (error) {
     console.error("Error generating debug response:", error);
@@ -645,7 +590,7 @@ async function loadPrompt(connection, productsToValidate = null, appPool = null)
       throw new Error("Database connection not available");
     }
 
-    // Fetch the system prompt
+    // Fetch the system prompt using the consolidated endpoint approach
     const systemPromptResult = await pool.query(`
       SELECT * FROM ai_prompts 
       WHERE prompt_type = 'system'
@@ -662,7 +607,7 @@ async function loadPrompt(connection, productsToValidate = null, appPool = null)
       console.warn("⚠️ No system prompt found in database, using default");
     }
 
-    // Fetch the general prompt
+    // Fetch the general prompt using the consolidated endpoint approach
     const generalPromptResult = await pool.query(`
       SELECT * FROM ai_prompts 
       WHERE prompt_type = 'general'
@@ -926,15 +871,11 @@ router.post("/validate", async (req, res) => {
     let promptLength = 0; // Track prompt length for performance metrics
     
     try {
-      // Setup MySQL connection via SSH tunnel
-      console.log("🔄 Setting up connection to production database...");
-      const tunnel = await setupSshTunnel();
-      ssh = tunnel.ssh;
-      
-      connection = await mysql.createConnection({
-        ...tunnel.dbConfig,
-        stream: tunnel.stream
-      });
+      // Use the optimized connection utility instead of direct SSH tunnel
+      console.log("🔄 Setting up connection to production database using optimized connection...");
+      const { ssh: connSsh, connection: connDB } = await getDbConnection();
+      ssh = connSsh;
+      connection = connDB;
       
       console.log("🔄 MySQL connection established successfully");
 
@@ -1238,14 +1179,11 @@ router.get("/test-taxonomy", async (req, res) => {
     let connection = null;
     
     try {
-      // Setup MySQL connection via SSH tunnel
-      const tunnel = await setupSshTunnel();
-      ssh = tunnel.ssh;
-      
-      connection = await mysql.createConnection({
-        ...tunnel.dbConfig,
-        stream: tunnel.stream
-      });
+      // Use the optimized connection utility instead of direct SSH tunnel
+      console.log("🔄 Setting up connection to production database using optimized connection...");
+      const { ssh: connSsh, connection: connDB } = await getDbConnection();
+      ssh = connSsh;
+      connection = connDB;
       
       console.log("MySQL connection established successfully for test");
       

inventory-server/src/routes/analytics.js

@@ -1,43 +1,202 @@
 const express = require('express');
 const router = express.Router();
 
+// Forecasting: summarize sales for products received in a period by brand
+router.get('/forecast', async (req, res) => {
+  try {
+    const pool = req.app.locals.pool;
+
+    const brand = (req.query.brand || '').toString();
+    const titleSearch = (req.query.search || req.query.q || '').toString().trim() || null;
+    const startDateStr = req.query.startDate;
+    const endDateStr = req.query.endDate;
+
+    if (!brand) {
+      return res.status(400).json({ error: 'Missing required parameter: brand' });
+    }
+
+    // Default to last 30 days if no dates provided
+    const endDate = endDateStr ? new Date(endDateStr) : new Date();
+    const startDate = startDateStr ? new Date(startDateStr) : new Date(endDate.getTime() - 29 * 24 * 60 * 60 * 1000);
+
+    // Normalize to date boundaries for consistency
+    const startISO = new Date(Date.UTC(startDate.getUTCFullYear(), startDate.getUTCMonth(), startDate.getUTCDate())).toISOString();
+    const endISO = new Date(Date.UTC(endDate.getUTCFullYear(), endDate.getUTCMonth(), endDate.getUTCDate())).toISOString();
+
+    const sql = `
+      WITH params AS (
+        SELECT 
+          $1::date AS start_date,
+          $2::date AS end_date,
+          $3::text AS brand,
+          $4::text AS title_search,
+          (($2::date - $1::date) + 1)::int AS days
+      ),
+      category_path AS (
+        WITH RECURSIVE cp AS (
+          SELECT c.cat_id, c.name, c.parent_id, c.name::text AS path
+          FROM categories c WHERE c.parent_id IS NULL
+          UNION ALL
+          SELECT c.cat_id, c.name, c.parent_id, (cp.path || ' > ' || c.name)::text
+          FROM categories c
+          JOIN cp ON c.parent_id = cp.cat_id
+        )
+        SELECT * FROM cp
+      ),
+      product_first_received AS (
+        SELECT 
+          p.pid,
+          COALESCE(p.first_received::date, MIN(r.received_date)::date) AS first_received_date
+        FROM products p
+        LEFT JOIN receivings r ON r.pid = p.pid
+        GROUP BY p.pid, p.first_received
+      ),
+      recent_products AS (
+        SELECT p.pid
+        FROM products p
+        JOIN product_first_received fr ON fr.pid = p.pid
+        JOIN params pr ON 1=1
+        WHERE p.visible = true
+          AND COALESCE(p.brand,'Unbranded') = pr.brand
+          AND fr.first_received_date BETWEEN pr.start_date AND pr.end_date
+          AND (pr.title_search IS NULL OR p.title ILIKE '%' || pr.title_search || '%')
+      ),
+      product_pick_category AS (
+        (
+          SELECT DISTINCT ON (pc.pid)
+            pc.pid,
+            c.name AS category_name,
+            COALESCE(cp.path, c.name) AS path
+          FROM product_categories pc
+          JOIN categories c ON c.cat_id = pc.cat_id AND (c.type IS NULL OR c.type NOT IN (20,21))
+          LEFT JOIN category_path cp ON cp.cat_id = c.cat_id
+          WHERE pc.pid IN (SELECT pid FROM recent_products)
+            AND (cp.path IS NULL OR (
+              cp.path NOT ILIKE '%Black Friday%'
+              AND cp.path NOT ILIKE '%Deals%'
+            ))
+            AND COALESCE(c.name, '') NOT IN ('Black Friday', 'Deals')
+          ORDER BY pc.pid, length(COALESCE(cp.path,'')) DESC
+        )
+        UNION ALL
+        (
+          SELECT 
+            rp.pid,
+            'Uncategorized'::text AS category_name,
+            'Uncategorized'::text AS path
+          FROM recent_products rp
+          WHERE NOT EXISTS (
+            SELECT 1 
+            FROM product_categories pc
+            JOIN categories c ON c.cat_id = pc.cat_id AND (c.type IS NULL OR c.type NOT IN (20,21))
+            LEFT JOIN category_path cp ON cp.cat_id = c.cat_id
+            WHERE pc.pid = rp.pid
+              AND (cp.path IS NULL OR (
+                cp.path NOT ILIKE '%Black Friday%'
+                AND cp.path NOT ILIKE '%Deals%'
+              ))
+              AND COALESCE(c.name, '') NOT IN ('Black Friday', 'Deals')
+          )
+        )
+      ),
+      product_sales AS (
+        SELECT 
+          p.pid,
+          p.title,
+          p.sku,
+          COALESCE(p.stock_quantity, 0) AS stock_quantity,
+          COALESCE(p.price, 0) AS price,
+          COALESCE(SUM(o.quantity), 0) AS total_sold
+        FROM recent_products rp
+        JOIN products p ON p.pid = rp.pid
+        LEFT JOIN params pr ON true
+        LEFT JOIN orders o ON o.pid = p.pid 
+            AND o.date::date BETWEEN pr.start_date AND pr.end_date
+            AND (o.canceled IS DISTINCT FROM TRUE)
+        GROUP BY p.pid, p.title, p.sku, p.stock_quantity, p.price
+      )
+      SELECT 
+        ppc.category_name,
+        ppc.path,
+        COUNT(ps.pid) AS num_products,
+        SUM(ps.total_sold) AS total_sold,
+        ROUND(AVG(COALESCE(ps.total_sold,0) / NULLIF(pr.days,0)), 2) AS avg_daily_sales,
+        ROUND(AVG(COALESCE(ps.total_sold,0)), 2) AS avg_total_sold,
+        MIN(ps.total_sold) AS min_total_sold,
+        MAX(ps.total_sold) AS max_total_sold,
+        JSON_AGG(
+          JSON_BUILD_OBJECT(
+            'pid', ps.pid,
+            'title', ps.title,
+            'sku', ps.sku,
+            'total_sold', ps.total_sold,
+            'categoryPath', ppc.path
+          )
+        ) AS products
+      FROM product_sales ps
+      JOIN product_pick_category ppc ON ppc.pid = ps.pid
+      JOIN params pr ON true
+      GROUP BY ppc.category_name, ppc.path
+      HAVING SUM(ps.total_sold) >= 0
+      ORDER BY (ppc.category_name = 'Uncategorized') ASC, avg_total_sold DESC NULLS LAST
+      LIMIT 200;
+    `;
+
+    const { rows } = await pool.query(sql, [startISO, endISO, brand, titleSearch]);
+
+    // Normalize/shape response keys to match front-end expectations
+    const shaped = rows.map(r => ({
+      category_name: r.category_name,
+      path: r.path,
+      avg_daily_sales: Number(r.avg_daily_sales) || 0,
+      total_sold: Number(r.total_sold) || 0,
+      num_products: Number(r.num_products) || 0,
+      avgTotalSold: Number(r.avg_total_sold) || 0,
+      minSold: Number(r.min_total_sold) || 0,
+      maxSold: Number(r.max_total_sold) || 0,
+      products: Array.isArray(r.products) ? r.products : []
+    }));
+
+    res.json(shaped);
+  } catch (error) {
+    console.error('Error fetching forecast data:', error);
+    res.status(500).json({ error: 'Failed to fetch forecast data' });
+  }
+});
+
 // Get overall analytics stats
 router.get('/stats', async (req, res) => {
   try {
     const pool = req.app.locals.pool;
     
     const { rows: [results] } = await pool.query(`
+      WITH vendor_count AS (
+        SELECT COUNT(DISTINCT vendor_name) AS count
+        FROM vendor_metrics
+      ),
+      category_count AS (
+        SELECT COUNT(DISTINCT category_id) AS count
+        FROM category_metrics
+      ),
+      metrics_summary AS (
         SELECT 
-        COALESCE(
-          ROUND(
-            (SUM(o.price * o.quantity - p.cost_price * o.quantity) / 
-             NULLIF(SUM(o.price * o.quantity), 0) * 100)::numeric, 1
-          ),
-          0
-        ) as profitMargin,
-        COALESCE(
-          ROUND(
-            (AVG(p.price / NULLIF(p.cost_price, 0) - 1) * 100)::numeric, 1
-          ),
-          0
-        ) as averageMarkup,
-        COALESCE(
-          ROUND(
-            (SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0))::numeric, 2
-          ),
-          0
-        ) as stockTurnoverRate,
-        COALESCE(COUNT(DISTINCT p.vendor), 0) as vendorCount,
-        COALESCE(COUNT(DISTINCT p.categories), 0) as categoryCount,
-        COALESCE(
-          ROUND(
-            AVG(o.price * o.quantity)::numeric, 2
-          ),
-          0
-        ) as averageOrderValue
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      WHERE o.date >= CURRENT_DATE - INTERVAL '30 days'
+          AVG(margin_30d) AS avg_profit_margin,
+          AVG(markup_30d) AS avg_markup,
+          AVG(stockturn_30d) AS avg_stock_turnover,
+          AVG(asp_30d) AS avg_order_value
+        FROM product_metrics
+        WHERE sales_30d > 0
+      )
+      SELECT
+        COALESCE(ms.avg_profit_margin, 0) AS profitMargin,
+        COALESCE(ms.avg_markup, 0) AS averageMarkup,
+        COALESCE(ms.avg_stock_turnover, 0) AS stockTurnoverRate,
+        COALESCE(vc.count, 0) AS vendorCount,
+        COALESCE(cc.count, 0) AS categoryCount,
+        COALESCE(ms.avg_order_value, 0) AS averageOrderValue
+      FROM metrics_summary ms
+      CROSS JOIN vendor_count vc
+      CROSS JOIN category_count cc
     `);
 
     // Ensure all values are numbers
@@ -84,43 +243,53 @@ router.get('/profit', async (req, res) => {
         JOIN category_path cp ON c.parent_id = cp.cat_id
       )
       SELECT 
-        c.name as category,
-        cp.path as categoryPath,
-        ROUND(
-          (SUM(o.price * o.quantity - p.cost_price * o.quantity) / 
-           NULLIF(SUM(o.price * o.quantity), 0) * 100)::numeric, 1
-        ) as profitMargin,
-        ROUND(SUM(o.price * o.quantity)::numeric, 3) as revenue,
-        ROUND(SUM(p.cost_price * o.quantity)::numeric, 3) as cost
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      JOIN product_categories pc ON p.pid = pc.pid
-      JOIN categories c ON pc.cat_id = c.cat_id
-      JOIN category_path cp ON c.cat_id = cp.cat_id
-      WHERE o.date >= CURRENT_DATE - INTERVAL '30 days'
-      GROUP BY c.name, cp.path
-      ORDER BY profitMargin DESC
+        cm.category_name as category,
+        COALESCE(cp.path, cm.category_name) as categorypath,
+        cm.avg_margin_30d as profitmargin,
+        cm.revenue_30d as revenue,
+        cm.cogs_30d as cost
+      FROM category_metrics cm
+      LEFT JOIN category_path cp ON cm.category_id = cp.cat_id
+      WHERE cm.revenue_30d > 0
+      ORDER BY cm.revenue_30d DESC
       LIMIT 10
     `);
 
-    // Get profit margin trend over time
+    // Get profit margin over time
     const { rows: overTime } = await pool.query(`
+      WITH time_series AS (
         SELECT
-        to_char(o.date, 'YYYY-MM-DD') as date,
-        ROUND(
-          (SUM(o.price * o.quantity - p.cost_price * o.quantity) / 
-           NULLIF(SUM(o.price * o.quantity), 0) * 100)::numeric, 1
-        ) as profitMargin,
-        ROUND(SUM(o.price * o.quantity)::numeric, 3) as revenue,
-        ROUND(SUM(p.cost_price * o.quantity)::numeric, 3) as cost
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      WHERE o.date >= CURRENT_DATE - INTERVAL '30 days'
-      GROUP BY to_char(o.date, 'YYYY-MM-DD')
-      ORDER BY date
+          date_trunc('day', generate_series(
+            CURRENT_DATE - INTERVAL '30 days',
+            CURRENT_DATE,
+            '1 day'::interval
+          ))::date AS date
+      ),
+      daily_profits AS (
+        SELECT
+          snapshot_date as date,
+          SUM(net_revenue) as revenue,
+          SUM(cogs) as cost,
+          CASE
+            WHEN SUM(net_revenue) > 0 
+            THEN (SUM(net_revenue - cogs) / SUM(net_revenue)) * 100
+            ELSE 0
+          END as profit_margin
+        FROM daily_product_snapshots
+        WHERE snapshot_date >= CURRENT_DATE - INTERVAL '30 days'
+        GROUP BY snapshot_date
+      )
+      SELECT
+        to_char(ts.date, 'YYYY-MM-DD') as date,
+        COALESCE(dp.profit_margin, 0) as profitmargin,
+        COALESCE(dp.revenue, 0) as revenue,
+        COALESCE(dp.cost, 0) as cost
+      FROM time_series ts
+      LEFT JOIN daily_profits dp ON ts.date = dp.date
+      ORDER BY ts.date
     `);
 
-    // Get top performing products with category paths
+    // Get top performing products by profit margin
     const { rows: topProducts } = await pool.query(`
       WITH RECURSIVE category_path AS (
         SELECT 
@@ -140,26 +309,28 @@ router.get('/profit', async (req, res) => {
           (cp.path || ' > ' || c.name)::text
         FROM categories c
         JOIN category_path cp ON c.parent_id = cp.cat_id
+      ),
+      product_categories AS (
+        SELECT 
+          pc.pid,
+          c.name as category,
+          COALESCE(cp.path, c.name) as categorypath
+        FROM product_categories pc
+        JOIN categories c ON pc.cat_id = c.cat_id
+        LEFT JOIN category_path cp ON c.cat_id = cp.cat_id
       )
       SELECT 
-        p.title as product,
-        c.name as category,
-        cp.path as categoryPath,
-        ROUND(
-          (SUM(o.price * o.quantity - p.cost_price * o.quantity) / 
-           NULLIF(SUM(o.price * o.quantity), 0) * 100)::numeric, 1
-        ) as profitMargin,
-        ROUND(SUM(o.price * o.quantity)::numeric, 3) as revenue,
-        ROUND(SUM(p.cost_price * o.quantity)::numeric, 3) as cost
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      JOIN product_categories pc ON p.pid = pc.pid
-      JOIN categories c ON pc.cat_id = c.cat_id
-      JOIN category_path cp ON c.cat_id = cp.cat_id
-      WHERE o.date >= CURRENT_DATE - INTERVAL '30 days'
-      GROUP BY p.pid, p.title, c.name, cp.path
-      HAVING SUM(o.price * o.quantity) > 0
-      ORDER BY profitMargin DESC
+        pm.title as product,
+        COALESCE(pc.category, 'Uncategorized') as category,
+        COALESCE(pc.categorypath, 'Uncategorized') as categorypath,
+        pm.margin_30d as profitmargin,
+        pm.revenue_30d as revenue,
+        pm.cogs_30d as cost
+      FROM product_metrics pm
+      LEFT JOIN product_categories pc ON pm.pid = pc.pid
+      WHERE pm.revenue_30d > 100
+      AND pm.margin_30d > 0
+      ORDER BY pm.margin_30d DESC
       LIMIT 10
     `);
 
@@ -184,93 +355,48 @@ router.get('/vendors', async (req, res) => {
     
     console.log('Fetching vendor performance data...');
 
-    // First check if we have any vendors with sales
-    const { rows: [checkData] } = await pool.query(`
-      SELECT COUNT(DISTINCT p.vendor) as vendor_count,
-             COUNT(DISTINCT o.order_number) as order_count
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      WHERE p.vendor IS NOT NULL
-    `);
-    
-    console.log('Vendor data check:', checkData);
-    
-    // Get vendor performance metrics
+    // Get vendor performance metrics from the vendor_metrics table
     const { rows: rawPerformance } = await pool.query(`
-      WITH monthly_sales AS (
       SELECT 
-          p.vendor,
-          ROUND(SUM(CASE 
-            WHEN o.date >= CURRENT_DATE - INTERVAL '30 days'
-            THEN o.price * o.quantity 
-            ELSE 0 
-          END)::numeric, 3) as current_month,
-          ROUND(SUM(CASE 
-            WHEN o.date >= CURRENT_DATE - INTERVAL '60 days'
-            AND o.date < CURRENT_DATE - INTERVAL '30 days'
-            THEN o.price * o.quantity 
-            ELSE 0 
-          END)::numeric, 3) as previous_month
-        FROM products p
-        LEFT JOIN orders o ON p.pid = o.pid
-        WHERE p.vendor IS NOT NULL
-          AND o.date >= CURRENT_DATE - INTERVAL '60 days'
-        GROUP BY p.vendor
-      )
-      SELECT 
-        p.vendor,
-        ROUND(SUM(o.price * o.quantity)::numeric, 3) as sales_volume,
-        COALESCE(ROUND(
-          (SUM(o.price * o.quantity - p.cost_price * o.quantity) / 
-           NULLIF(SUM(o.price * o.quantity), 0) * 100)::numeric, 1
-        ), 0) as profit_margin,
-        COALESCE(ROUND(
-          (SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0))::numeric, 1
-        ), 0) as stock_turnover,
-        COUNT(DISTINCT p.pid) as product_count,
-        ROUND(
-          ((ms.current_month / NULLIF(ms.previous_month, 0)) - 1) * 100,
-          1
-        ) as growth
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      LEFT JOIN monthly_sales ms ON p.vendor = ms.vendor
-      WHERE p.vendor IS NOT NULL
-        AND o.date >= CURRENT_DATE - INTERVAL '30 days'
-      GROUP BY p.vendor, ms.current_month, ms.previous_month
-      ORDER BY sales_volume DESC
-      LIMIT 10
+        vendor_name as vendor,
+        revenue_30d as sales_volume,
+        avg_margin_30d as profit_margin,
+        COALESCE(
+          sales_30d / NULLIF(current_stock_units, 0),
+          0
+        ) as stock_turnover,
+        product_count,
+        -- Use actual growth metrics from the vendor_metrics table
+        sales_growth_30d_vs_prev as growth
+      FROM vendor_metrics
+      WHERE revenue_30d > 0
+      ORDER BY revenue_30d DESC
+      LIMIT 20
     `);
 
-    // Transform to camelCase properties for frontend consumption
-    const performance = rawPerformance.map(item => ({
-      vendor: item.vendor,
-      salesVolume: Number(item.sales_volume) || 0,
-      profitMargin: Number(item.profit_margin) || 0,
-      stockTurnover: Number(item.stock_turnover) || 0,
-      productCount: Number(item.product_count) || 0,
-      growth: Number(item.growth) || 0
+    // Format the performance data
+    const performance = rawPerformance.map(vendor => ({
+      vendor: vendor.vendor,
+      salesVolume: Number(vendor.sales_volume) || 0,
+      profitMargin: Number(vendor.profit_margin) || 0,
+      stockTurnover: Number(vendor.stock_turnover) || 0,
+      productCount: Number(vendor.product_count) || 0,
+      growth: Number(vendor.growth) || 0
     }));
 
     // Get vendor comparison metrics (sales per product vs margin)
     const { rows: rawComparison } = await pool.query(`
       SELECT 
-        p.vendor,
-        COALESCE(ROUND(
-          SUM(o.price * o.quantity) / NULLIF(COUNT(DISTINCT p.pid), 0), 
-          2
-        ), 0) as sales_per_product,
-        COALESCE(ROUND(
-          AVG((p.price - p.cost_price) / NULLIF(p.cost_price, 0) * 100), 
-          2
-        ), 0) as average_margin,
-        COUNT(DISTINCT p.pid) as size
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      WHERE p.vendor IS NOT NULL
-        AND o.date >= CURRENT_DATE - INTERVAL '30 days'
-      GROUP BY p.vendor
-      HAVING COUNT(DISTINCT p.pid) > 0
+        vendor_name as vendor,
+        CASE 
+          WHEN active_product_count > 0 
+          THEN revenue_30d / active_product_count 
+          ELSE 0 
+        END as sales_per_product,
+        avg_margin_30d as average_margin,
+        product_count as size
+      FROM vendor_metrics
+      WHERE active_product_count > 0
       ORDER BY sales_per_product DESC
       LIMIT 10
     `);
@@ -294,58 +420,7 @@ router.get('/vendors', async (req, res) => {
     });
   } catch (error) {
     console.error('Error fetching vendor performance:', error);
-    console.error('Error details:', error.message);
-    
-    // Return dummy data on error with complete structure
-    res.json({ 
-      performance: [
-        {
-          vendor: "Example Vendor 1",
-          salesVolume: 10000,
-          profitMargin: 25.5,
-          stockTurnover: 3.2,
-          productCount: 15,
-          growth: 12.3
-        },
-        {
-          vendor: "Example Vendor 2",
-          salesVolume: 8500,
-          profitMargin: 22.8,
-          stockTurnover: 2.9,
-          productCount: 12,
-          growth: 8.7
-        },
-        {
-          vendor: "Example Vendor 3",
-          salesVolume: 6200,
-          profitMargin: 19.5,
-          stockTurnover: 2.5,
-          productCount: 8,
-          growth: 5.2
-        }
-      ],
-      comparison: [
-        {
-          vendor: "Example Vendor 1",
-          salesPerProduct: 650,
-          averageMargin: 35.2,
-          size: 15
-        },
-        {
-          vendor: "Example Vendor 2",
-          salesPerProduct: 710,
-          averageMargin: 28.5,
-          size: 12
-        },
-        {
-          vendor: "Example Vendor 3",
-          salesPerProduct: 770,
-          averageMargin: 22.8,
-          size: 8
-        }
-      ],
-      trends: []
-    });
+    res.status(500).json({ error: 'Failed to fetch vendor performance data' });
   }
 });
 
@@ -353,108 +428,119 @@ router.get('/vendors', async (req, res) => {
 router.get('/stock', async (req, res) => {
   try {
     const pool = req.app.locals.pool;
+    console.log('Fetching stock analysis data...');
     
-    // Get global configuration values
-    const { rows: configs } = await pool.query(`
-      SELECT 
-        st.low_stock_threshold,
-        tc.calculation_period_days as turnover_period
-      FROM stock_thresholds st
-      CROSS JOIN turnover_config tc
-      WHERE st.id = 1 AND tc.id = 1
-    `);
-    
-    const config = configs[0] || {
-      low_stock_threshold: 5,
-      turnover_period: 30
-    };
+    // Use the new metrics tables to get data
     
     // Get turnover by category
     const { rows: turnoverByCategory } = await pool.query(`
+      WITH category_metrics_with_path AS (
+        WITH RECURSIVE category_path AS (
           SELECT 
-        c.name as category,
-        ROUND((SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0))::numeric, 1) as turnoverRate,
-        ROUND(AVG(p.stock_quantity)::numeric, 0) as averageStock,
-        SUM(o.quantity) as totalSales
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      JOIN product_categories pc ON p.pid = pc.pid
-      JOIN categories c ON pc.cat_id = c.cat_id
-      WHERE o.date >= CURRENT_DATE - INTERVAL '${config.turnover_period} days'
-      GROUP BY c.name
-      HAVING ROUND((SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0))::numeric, 1) > 0
-      ORDER BY turnoverRate DESC
+            c.cat_id,
+            c.name,
+            c.parent_id,
+            c.name::text as path
+          FROM categories c
+          WHERE c.parent_id IS NULL
+          
+          UNION ALL
+          
+          SELECT 
+            c.cat_id,
+            c.name,
+            c.parent_id,
+            (cp.path || ' > ' || c.name)::text
+          FROM categories c
+          JOIN category_path cp ON c.parent_id = cp.cat_id
+        )
+        SELECT 
+          cm.category_id,
+          cm.category_name,
+          cp.path as category_path,
+          cm.current_stock_units,
+          cm.sales_30d,
+          cm.stock_turn_30d
+        FROM category_metrics cm
+        LEFT JOIN category_path cp ON cm.category_id = cp.cat_id
+        WHERE cm.sales_30d > 0
+      )
+      SELECT 
+        category_name as category,
+        COALESCE(stock_turn_30d, 0) as turnoverRate,
+        current_stock_units as averageStock,
+        sales_30d as totalSales
+      FROM category_metrics_with_path
+      ORDER BY stock_turn_30d DESC NULLS LAST
       LIMIT 10
     `);
     
-    // Get stock levels over time
+    // Get stock levels over time (last 30 days)
     const { rows: stockLevels } = await pool.query(`
+      WITH date_range AS (
+        SELECT generate_series(
+          CURRENT_DATE - INTERVAL '30 days',
+          CURRENT_DATE,
+          '1 day'::interval
+        )::date AS date
+      ),
+      daily_stock_counts AS (
         SELECT
-        to_char(o.date, 'YYYY-MM-DD') as date,
-        SUM(CASE WHEN p.stock_quantity > $1 THEN 1 ELSE 0 END) as inStock,
-        SUM(CASE WHEN p.stock_quantity <= $1 AND p.stock_quantity > 0 THEN 1 ELSE 0 END) as lowStock,
-        SUM(CASE WHEN p.stock_quantity = 0 THEN 1 ELSE 0 END) as outOfStock
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      WHERE o.date >= CURRENT_DATE - INTERVAL '${config.turnover_period} days'
-      GROUP BY to_char(o.date, 'YYYY-MM-DD')
-      ORDER BY date
-    `, [config.low_stock_threshold]);
-
-    // Get critical stock items
-    const { rows: criticalItems } = await pool.query(`
-      WITH product_thresholds AS (
-        SELECT 
-          p.pid,
-          COALESCE(
-            (SELECT reorder_days 
-             FROM stock_thresholds st 
-             WHERE st.vendor = p.vendor LIMIT 1),
-            (SELECT reorder_days 
-             FROM stock_thresholds st 
-             WHERE st.vendor IS NULL LIMIT 1),
-            14
-          ) as reorder_days
-        FROM products p
+          snapshot_date,
+          COUNT(DISTINCT pid) as total_products,
+          COUNT(DISTINCT CASE WHEN eod_stock_quantity > 5 THEN pid END) as in_stock,
+          COUNT(DISTINCT CASE WHEN eod_stock_quantity <= 5 AND eod_stock_quantity > 0 THEN pid END) as low_stock,
+          COUNT(DISTINCT CASE WHEN eod_stock_quantity = 0 THEN pid END) as out_of_stock
+        FROM daily_product_snapshots
+        WHERE snapshot_date >= CURRENT_DATE - INTERVAL '30 days'
+        GROUP BY snapshot_date
       )
       SELECT
-        p.title as product,
-        p.SKU as sku,
-        p.stock_quantity as stockQuantity,
-        GREATEST(ROUND((AVG(o.quantity) * pt.reorder_days)::numeric), $1) as reorderPoint,
-        ROUND((SUM(o.quantity) / NULLIF(p.stock_quantity, 0))::numeric, 1) as turnoverRate,
-        CASE 
-          WHEN p.stock_quantity = 0 THEN 0
-          ELSE ROUND((p.stock_quantity / NULLIF((SUM(o.quantity) / $2), 0))::numeric)
-        END as daysUntilStockout
-      FROM products p
-      LEFT JOIN orders o ON p.pid = o.pid
-      JOIN product_thresholds pt ON p.pid = pt.pid
-      WHERE o.date >= CURRENT_DATE - INTERVAL '${config.turnover_period} days'
-        AND p.managing_stock = true
-      GROUP BY p.pid, pt.reorder_days
-      HAVING 
-        CASE 
-          WHEN p.stock_quantity = 0 THEN 0
-          ELSE ROUND((p.stock_quantity / NULLIF((SUM(o.quantity) / $2), 0))::numeric)
-        END < $3 
-        AND 
-        CASE 
-          WHEN p.stock_quantity = 0 THEN 0
-          ELSE ROUND((p.stock_quantity / NULLIF((SUM(o.quantity) / $2), 0))::numeric)
-        END >= 0
-      ORDER BY daysUntilStockout
-      LIMIT 10
-    `, [
-      config.low_stock_threshold,
-      config.turnover_period,
-      config.turnover_period
-    ]);
+        to_char(dr.date, 'YYYY-MM-DD') as date,
+        COALESCE(dsc.in_stock, 0) as inStock,
+        COALESCE(dsc.low_stock, 0) as lowStock,
+        COALESCE(dsc.out_of_stock, 0) as outOfStock
+      FROM date_range dr
+      LEFT JOIN daily_stock_counts dsc ON dr.date = dsc.snapshot_date
+      ORDER BY dr.date
+    `);
     
-    res.json({ turnoverByCategory, stockLevels, criticalItems });
+    // Get critical items (products that need reordering)
+    const { rows: criticalItems } = await pool.query(`
+      SELECT
+        pm.title as product,
+        pm.sku as sku,
+        pm.current_stock as stockQuantity,
+        COALESCE(pm.config_safety_stock, 0) as reorderPoint,
+        COALESCE(pm.stockturn_30d, 0) as turnoverRate,
+        CASE
+          WHEN pm.sales_velocity_daily > 0 
+          THEN ROUND(pm.current_stock / pm.sales_velocity_daily)
+          ELSE 999
+        END as daysUntilStockout
+      FROM product_metrics pm
+      WHERE pm.is_visible = true
+        AND pm.is_replenishable = true
+        AND pm.sales_30d > 0
+        AND pm.current_stock <= pm.config_safety_stock * 2
+      ORDER BY 
+        CASE
+          WHEN pm.sales_velocity_daily > 0 
+          THEN pm.current_stock / pm.sales_velocity_daily
+          ELSE 999
+        END ASC,
+        pm.revenue_30d DESC
+      LIMIT 10
+    `);
+    
+    res.json({
+      turnoverByCategory,
+      stockLevels,
+      criticalItems
+    });
   } catch (error) {
     console.error('Error fetching stock analysis:', error);
-    res.status(500).json({ error: 'Failed to fetch stock analysis' });
+    res.status(500).json({ error: 'Failed to fetch stock analysis', details: error.message });
   }
 });
 
@@ -685,99 +771,4 @@ router.get('/categories', async (req, res) => {
   }
 });
 
-// Forecast endpoint
-router.get('/forecast', async (req, res) => {
-  try {
-    const { brand, startDate, endDate } = req.query;
-    const pool = req.app.locals.pool;
-
-    const [results] = await pool.query(`
-      WITH RECURSIVE category_path AS (
-        SELECT 
-          c.cat_id,
-          c.name,
-          c.parent_id,
-          CAST(c.name AS CHAR(1000)) as path
-        FROM categories c
-        WHERE c.parent_id IS NULL
-        
-        UNION ALL
-        
-        SELECT 
-          c.cat_id,
-          c.name,
-          c.parent_id,
-          CONCAT(cp.path, ' > ', c.name)
-        FROM categories c
-        JOIN category_path cp ON c.parent_id = cp.cat_id
-      ),
-      category_metrics AS (
-        SELECT 
-          c.cat_id,
-          c.name as category_name,
-          cp.path,
-          p.brand,
-          COUNT(DISTINCT p.pid) as num_products,
-          CAST(COALESCE(ROUND(SUM(o.quantity) / DATEDIFF(?, ?), 2), 0) AS DECIMAL(15,3)) as avg_daily_sales,
-          COALESCE(SUM(o.quantity), 0) as total_sold,
-          CAST(COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.pid), 2), 0) AS DECIMAL(15,3)) as avgTotalSold,
-          CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
-        FROM categories c
-        JOIN product_categories pc ON c.cat_id = pc.cat_id
-        JOIN products p ON pc.pid = p.pid
-        JOIN category_path cp ON c.cat_id = cp.cat_id
-        LEFT JOIN product_metrics pmet ON p.pid = pmet.pid
-        LEFT JOIN orders o ON p.pid = o.pid 
-          AND o.date BETWEEN ? AND ?
-          AND o.canceled = false
-        WHERE p.brand = ?
-          AND pmet.first_received_date BETWEEN ? AND ?
-        GROUP BY c.cat_id, c.name, cp.path, p.brand
-      ),
-      product_details AS (
-        SELECT 
-          p.pid,
-          p.title,
-          p.SKU,
-          p.stock_quantity,
-          pc.cat_id,
-          pmet.first_received_date,
-          COALESCE(SUM(o.quantity), 0) as total_sold,
-          CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
-        FROM products p
-        JOIN product_categories pc ON p.pid = pc.pid
-        JOIN product_metrics pmet ON p.pid = pmet.pid
-        LEFT JOIN orders o ON p.pid = o.pid 
-          AND o.date BETWEEN ? AND ?
-          AND o.canceled = false
-        WHERE p.brand = ?
-          AND pmet.first_received_date BETWEEN ? AND ?
-        GROUP BY p.pid, p.title, p.SKU, p.stock_quantity, pc.cat_id, pmet.first_received_date
-      )
-      SELECT 
-        cm.*,
-        JSON_ARRAYAGG(
-          JSON_OBJECT(
-            'pid', pd.pid,
-            'title', pd.title,
-            'SKU', pd.SKU,
-            'stock_quantity', pd.stock_quantity,
-            'total_sold', pd.total_sold,
-            'avg_price', pd.avg_price,
-            'first_received_date', DATE_FORMAT(pd.first_received_date, '%Y-%m-%d')
-          )
-        ) as products
-      FROM category_metrics cm
-      JOIN product_details pd ON cm.cat_id = pd.cat_id
-      GROUP BY cm.cat_id, cm.category_name, cm.path, cm.brand, cm.num_products, cm.avg_daily_sales, cm.total_sold, cm.avgTotalSold, cm.avg_price
-      ORDER BY cm.total_sold DESC
-    `, [endDate, startDate, startDate, endDate, brand, startDate, endDate, startDate, endDate, brand, startDate, endDate]);
-
-    res.json(results);
-  } catch (error) {
-    console.error('Error fetching forecast data:', error);
-    res.status(500).json({ error: 'Failed to fetch forecast data' });
-  }
-});
-
 module.exports = router; 

inventory-server/src/routes/brandsAggregate.js

@@ -0,0 +1,284 @@
+const express = require('express');
+const router = express.Router();
+const { parseValue } = require('../utils/apiHelpers'); // Adjust path if needed
+
+// --- Configuration & Helpers ---
+const DEFAULT_PAGE_LIMIT = 50;
+const MAX_PAGE_LIMIT = 200;
+
+// Maps query keys to DB columns in brand_metrics
+const COLUMN_MAP = {
+    brandName: { dbCol: 'bm.brand_name', type: 'string' },
+    productCount: { dbCol: 'bm.product_count', type: 'number' },
+    activeProductCount: { dbCol: 'bm.active_product_count', type: 'number' },
+    replenishableProductCount: { dbCol: 'bm.replenishable_product_count', type: 'number' },
+    currentStockUnits: { dbCol: 'bm.current_stock_units', type: 'number' },
+    currentStockCost: { dbCol: 'bm.current_stock_cost', type: 'number' },
+    currentStockRetail: { dbCol: 'bm.current_stock_retail', type: 'number' },
+    sales7d: { dbCol: 'bm.sales_7d', type: 'number' },
+    revenue7d: { dbCol: 'bm.revenue_7d', type: 'number' },
+    sales30d: { dbCol: 'bm.sales_30d', type: 'number' },
+    revenue30d: { dbCol: 'bm.revenue_30d', type: 'number' },
+    profit30d: { dbCol: 'bm.profit_30d', type: 'number' },
+    cogs30d: { dbCol: 'bm.cogs_30d', type: 'number' },
+    sales365d: { dbCol: 'bm.sales_365d', type: 'number' },
+    revenue365d: { dbCol: 'bm.revenue_365d', type: 'number' },
+    lifetimeSales: { dbCol: 'bm.lifetime_sales', type: 'number' },
+    lifetimeRevenue: { dbCol: 'bm.lifetime_revenue', type: 'number' },
+    avgMargin30d: { dbCol: 'bm.avg_margin_30d', type: 'number' },
+    // Growth metrics
+    salesGrowth30dVsPrev: { dbCol: 'bm.sales_growth_30d_vs_prev', type: 'number' },
+    revenueGrowth30dVsPrev: { dbCol: 'bm.revenue_growth_30d_vs_prev', type: 'number' },
+    // Add aliases if needed
+    name: { dbCol: 'bm.brand_name', type: 'string' },
+    // Add status for filtering
+    status: { dbCol: 'brand_status', type: 'string' },
+};
+
+function getSafeColumnInfo(queryParamKey) {
+    return COLUMN_MAP[queryParamKey] || null;
+}
+
+// --- Route Handlers ---
+
+// GET /brands-aggregate/filter-options (Just brands list for now)
+router.get('/filter-options', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /brands-aggregate/filter-options');
+    try {
+        // Get brand names
+        const { rows: brandRows } = await pool.query(`
+            SELECT DISTINCT brand_name FROM public.brand_metrics ORDER BY brand_name
+        `);
+        
+        // Get status values - calculate them since they're derived
+        const { rows: statusRows } = await pool.query(`
+            SELECT DISTINCT
+                CASE 
+                    WHEN active_product_count > 0 AND sales_30d > 0 THEN 'active'
+                    WHEN active_product_count > 0 THEN 'inactive'
+                    ELSE 'pending'
+                END as status
+            FROM public.brand_metrics
+            ORDER BY status
+        `);
+        
+        res.json({
+            brands: brandRows.map(r => r.brand_name),
+            statuses: statusRows.map(r => r.status)
+        });
+     } catch(error) {
+        console.error('Error fetching brand filter options:', error);
+        res.status(500).json({ error: 'Failed to fetch filter options' });
+     }
+});
+
+// GET /brands-aggregate/stats (Overall brand stats)
+router.get('/stats', async (req, res) => {
+     const pool = req.app.locals.pool;
+     console.log('GET /brands-aggregate/stats');
+     try {
+         const { rows: [stats] } = await pool.query(`
+            SELECT
+                COUNT(*) AS total_brands,
+                COUNT(CASE WHEN active_product_count > 0 THEN 1 END) AS active_brands,
+                SUM(active_product_count) AS total_active_products,
+                SUM(current_stock_cost) AS total_stock_value,
+                -- Weighted Average Margin
+                SUM(profit_30d) * 100.0 / NULLIF(SUM(revenue_30d), 0) AS overall_avg_margin_weighted
+            FROM public.brand_metrics bm
+         `);
+
+         res.json({
+             totalBrands: parseInt(stats?.total_brands || 0),
+             activeBrands: parseInt(stats?.active_brands || 0),
+             totalActiveProducts: parseInt(stats?.total_active_products || 0),
+             totalValue: parseFloat(stats?.total_stock_value || 0),
+             avgMargin: parseFloat(stats?.overall_avg_margin_weighted || 0),
+         });
+     } catch (error) {
+        console.error('Error fetching brand stats:', error);
+        res.status(500).json({ error: 'Failed to fetch brand stats.' });
+     }
+});
+
+// GET /brands-aggregate/ (List brands)
+router.get('/', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /brands-aggregate received query:', req.query);
+    try {
+        // --- Pagination ---
+        let page = parseInt(req.query.page, 10) || 1;
+        let limit = parseInt(req.query.limit, 10) || DEFAULT_PAGE_LIMIT;
+        limit = Math.min(limit, MAX_PAGE_LIMIT);
+        const offset = (page - 1) * limit;
+
+        // --- Sorting ---
+        const sortQueryKey = req.query.sort || 'brandName'; // Default sort
+        const sortColumnInfo = getSafeColumnInfo(sortQueryKey);
+        const sortColumn = sortColumnInfo ? sortColumnInfo.dbCol : 'bm.brand_name';
+        const sortDirection = req.query.order?.toLowerCase() === 'desc' ? 'DESC' : 'ASC';
+        const nullsOrder = (sortDirection === 'ASC' ? 'NULLS FIRST' : 'NULLS LAST');
+        const sortClause = `ORDER BY ${sortColumn} ${sortDirection} ${nullsOrder}`;
+
+        // --- Filtering ---
+        const conditions = [];
+        const params = [];
+        let paramCounter = 1;
+        // Build conditions based on req.query, using COLUMN_MAP and parseValue
+        for (const key in req.query) {
+             if (['page', 'limit', 'sort', 'order'].includes(key)) continue;
+
+             let filterKey = key;
+             let operator = '='; // Default operator
+             const value = req.query[key];
+
+             const operatorMatch = key.match(/^(.*)_(eq|ne|gt|gte|lt|lte|like|ilike|between|in)$/);
+             if (operatorMatch) {
+                 filterKey = operatorMatch[1];
+                 operator = operatorMatch[2];
+             }
+
+             const columnInfo = getSafeColumnInfo(filterKey);
+             if (columnInfo) {
+                 const dbColumn = columnInfo.dbCol;
+                 const valueType = columnInfo.type;
+                  try {
+                     let conditionFragment = '';
+                     let needsParam = true;
+                     switch (operator.toLowerCase()) { // Normalize operator
+                          case 'eq': operator = '='; break;
+                          case 'ne': operator = '<>'; break;
+                          case 'gt': operator = '>'; break;
+                          case 'gte': operator = '>='; break;
+                          case 'lt': operator = '<'; break;
+                          case 'lte': operator = '<='; break;
+                          case 'like': operator = 'LIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
+                          case 'ilike': operator = 'ILIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
+                          case 'between':
+                              const [val1, val2] = String(value).split(',');
+                              if (val1 !== undefined && val2 !== undefined) {
+                                  conditionFragment = `${dbColumn} BETWEEN $${paramCounter++} AND $${paramCounter++}`;
+                                  params.push(parseValue(val1, valueType), parseValue(val2, valueType));
+                                  needsParam = false;
+                              } else continue;
+                              break;
+                          case 'in':
+                               const inValues = String(value).split(',');
+                               if (inValues.length > 0) {
+                                  const placeholders = inValues.map(() => `$${paramCounter++}`).join(', ');
+                                  conditionFragment = `${dbColumn} IN (${placeholders})`;
+                                  params.push(...inValues.map(v => parseValue(v, valueType)));
+                                  needsParam = false;
+                               } else continue;
+                               break;
+                          default: operator = '='; break;
+                     }
+
+                     if (needsParam) {
+                          conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
+                          params.push(parseValue(value, valueType));
+                     } else if (!conditionFragment) { // For LIKE/ILIKE
+                          conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
+                     }
+
+
+                     if (conditionFragment) {
+                          conditions.push(`(${conditionFragment})`);
+                     }
+                  } catch (parseError) {
+                      console.warn(`Skipping filter for key "${key}" due to parsing error: ${parseError.message}`);
+                      if (needsParam) paramCounter--;
+                  }
+             } else {
+                  console.warn(`Invalid filter key ignored: ${key}`);
+             }
+         }
+
+
+        // --- Execute Queries ---
+        const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';
+        
+        // Status calculation similar to vendors
+        const statusCase = `
+            CASE 
+                WHEN active_product_count > 0 AND sales_30d > 0 THEN 'active'
+                WHEN active_product_count > 0 THEN 'inactive'
+                ELSE 'pending'
+            END as brand_status
+        `;
+        
+        const baseSql = `
+            FROM (
+                SELECT 
+                    bm.*,
+                    ${statusCase}
+                FROM public.brand_metrics bm
+            ) bm
+            ${whereClause}
+        `;
+
+        const countSql = `SELECT COUNT(*) AS total ${baseSql}`;
+        const dataSql = `
+            WITH brand_data AS (
+                SELECT 
+                    bm.*,
+                    ${statusCase}
+                FROM public.brand_metrics bm
+            )
+            SELECT bm.*
+            FROM brand_data bm
+            ${whereClause}
+            ${sortClause}
+            LIMIT $${paramCounter} OFFSET $${paramCounter + 1}
+        `;
+        const dataParams = [...params, limit, offset];
+
+        console.log("Count SQL:", countSql, params);
+        console.log("Data SQL:", dataSql, dataParams);
+
+        const [countResult, dataResult] = await Promise.all([
+            pool.query(countSql, params),
+            pool.query(dataSql, dataParams)
+        ]);
+
+        const total = parseInt(countResult.rows[0].total, 10);
+        const brands = dataResult.rows.map(row => {
+            // Create a new object with both snake_case and camelCase keys
+            const transformedRow = { ...row }; // Start with original data
+            
+            for (const key in row) {
+                // Skip null/undefined values
+                if (row[key] === null || row[key] === undefined) {
+                    continue; // Original already has the null value
+                }
+
+                // Transform keys to match frontend expectations (add camelCase versions)
+                // First handle cases like sales_7d -> sales7d
+                let camelKey = key.replace(/_(\d+[a-z])/g, '$1');
+                
+                // Then handle regular snake_case -> camelCase
+                camelKey = camelKey.replace(/_([a-z])/g, (_, letter) => letter.toUpperCase());
+                if (camelKey !== key) { // Only add if different from original
+                    transformedRow[camelKey] = row[key];
+                }
+            }
+            return transformedRow;
+        });
+
+        // --- Respond ---
+        res.json({
+            brands,
+            pagination: { total, pages: Math.ceil(total / limit), currentPage: page, limit },
+        });
+
+    } catch (error) {
+        console.error('Error fetching brand metrics list:', error);
+        res.status(500).json({ error: 'Failed to fetch brand metrics.' });
+    }
+});
+
+// GET /brands-aggregate/:name (Get single brand metric)
+// Implement if needed, remember to URL-decode the name parameter
+
+module.exports = router;

inventory-server/src/routes/categories.js

@@ -1,100 +0,0 @@
-const express = require('express');
-const router = express.Router();
-
-// Get all categories
-router.get('/', async (req, res) => {
-  const pool = req.app.locals.pool;
-  try {
-    // Get all categories with metrics and hierarchy info
-    const { rows: categories } = await pool.query(`
-      SELECT 
-        c.cat_id,
-        c.name,
-        c.type,
-        c.parent_id,
-        c.description,
-        c.status,
-        p.name as parent_name,
-        p.type as parent_type,
-        COALESCE(cm.product_count, 0) as product_count,
-        COALESCE(cm.active_products, 0) as active_products,
-        ROUND(COALESCE(cm.total_value, 0)::numeric, 3) as total_value,
-        COALESCE(cm.avg_margin, 0) as avg_margin,
-        COALESCE(cm.turnover_rate, 0) as turnover_rate,
-        COALESCE(cm.growth_rate, 0) as growth_rate
-      FROM categories c
-      LEFT JOIN categories p ON c.parent_id = p.cat_id
-      LEFT JOIN category_metrics cm ON c.cat_id = cm.category_id
-      ORDER BY 
-        CASE 
-          WHEN c.type = 10 THEN 1  -- sections first
-          WHEN c.type = 11 THEN 2  -- categories second
-          WHEN c.type = 12 THEN 3  -- subcategories third
-          WHEN c.type = 13 THEN 4  -- subsubcategories fourth
-          WHEN c.type = 20 THEN 5  -- themes fifth
-          WHEN c.type = 21 THEN 6  -- subthemes last
-          ELSE 7
-        END,
-        c.name ASC
-    `);
-
-    // Get overall stats
-    const { rows: [stats] } = await pool.query(`
-      SELECT 
-        COUNT(DISTINCT c.cat_id) as totalCategories,
-        COUNT(DISTINCT CASE WHEN c.status = 'active' THEN c.cat_id END) as activeCategories,
-        ROUND(COALESCE(SUM(cm.total_value), 0)::numeric, 3) as totalValue,
-        COALESCE(ROUND(AVG(NULLIF(cm.avg_margin, 0))::numeric, 1), 0) as avgMargin,
-        COALESCE(ROUND(AVG(NULLIF(cm.growth_rate, 0))::numeric, 1), 0) as avgGrowth
-      FROM categories c
-      LEFT JOIN category_metrics cm ON c.cat_id = cm.category_id
-    `);
-
-    // Get type counts for filtering
-    const { rows: typeCounts } = await pool.query(`
-      SELECT 
-        type,
-        COUNT(*)::integer as count
-      FROM categories
-      GROUP BY type
-      ORDER BY type
-    `);
-
-    res.json({
-      categories: categories.map(cat => ({
-        cat_id: cat.cat_id,
-        name: cat.name,
-        type: cat.type,
-        parent_id: cat.parent_id,
-        parent_name: cat.parent_name,
-        parent_type: cat.parent_type,
-        description: cat.description,
-        status: cat.status,
-        metrics: {
-          product_count: parseInt(cat.product_count),
-          active_products: parseInt(cat.active_products),
-          total_value: parseFloat(cat.total_value),
-          avg_margin: parseFloat(cat.avg_margin),
-          turnover_rate: parseFloat(cat.turnover_rate),
-          growth_rate: parseFloat(cat.growth_rate)
-        }
-      })),
-      typeCounts: typeCounts.map(tc => ({
-        type: tc.type,
-        count: tc.count // Already cast to integer in the query
-      })),
-      stats: {
-        totalCategories: parseInt(stats.totalcategories),
-        activeCategories: parseInt(stats.activecategories),
-        totalValue: parseFloat(stats.totalvalue),
-        avgMargin: parseFloat(stats.avgmargin),
-        avgGrowth: parseFloat(stats.avggrowth)
-      }
-    });
-  } catch (error) {
-    console.error('Error fetching categories:', error);
-    res.status(500).json({ error: 'Failed to fetch categories' });
-  }
-});
-
-module.exports = router; 

inventory-server/src/routes/categoriesAggregate.js

@@ -0,0 +1,363 @@
+const express = require('express');
+const router = express.Router();
+const { parseValue } = require('../utils/apiHelpers'); // Adjust path if needed
+
+// --- Configuration & Helpers ---
+const DEFAULT_PAGE_LIMIT = 50;
+const MAX_PAGE_LIMIT = 5000; // Increase this to allow retrieving all categories in one request
+
+// Maps query keys to DB columns in category_metrics and categories tables
+const COLUMN_MAP = {
+    categoryId: { dbCol: 'cm.category_id', type: 'integer' },
+    categoryName: { dbCol: 'cm.category_name', type: 'string' }, // From aggregate table
+    categoryType: { dbCol: 'cm.category_type', type: 'integer' }, // From aggregate table
+    parentId: { dbCol: 'cm.parent_id', type: 'integer' }, // From aggregate table
+    parentName: { dbCol: 'p.name', type: 'string' }, // Requires JOIN to categories
+    productCount: { dbCol: 'cm.product_count', type: 'number' },
+    activeProductCount: { dbCol: 'cm.active_product_count', type: 'number' },
+    replenishableProductCount: { dbCol: 'cm.replenishable_product_count', type: 'number' },
+    currentStockUnits: { dbCol: 'cm.current_stock_units', type: 'number' },
+    currentStockCost: { dbCol: 'cm.current_stock_cost', type: 'number' },
+    currentStockRetail: { dbCol: 'cm.current_stock_retail', type: 'number' },
+    sales7d: { dbCol: 'cm.sales_7d', type: 'number' },
+    revenue7d: { dbCol: 'cm.revenue_7d', type: 'number' },
+    sales30d: { dbCol: 'cm.sales_30d', type: 'number' },
+    revenue30d: { dbCol: 'cm.revenue_30d', type: 'number' },
+    profit30d: { dbCol: 'cm.profit_30d', type: 'number' },
+    cogs30d: { dbCol: 'cm.cogs_30d', type: 'number' },
+    sales365d: { dbCol: 'cm.sales_365d', type: 'number' },
+    revenue365d: { dbCol: 'cm.revenue_365d', type: 'number' },
+    lifetimeSales: { dbCol: 'cm.lifetime_sales', type: 'number' },
+    lifetimeRevenue: { dbCol: 'cm.lifetime_revenue', type: 'number' },
+    avgMargin30d: { dbCol: 'cm.avg_margin_30d', type: 'number' },
+    stockTurn30d: { dbCol: 'cm.stock_turn_30d', type: 'number' },
+    // Growth metrics
+    salesGrowth30dVsPrev: { dbCol: 'cm.sales_growth_30d_vs_prev', type: 'number' },
+    revenueGrowth30dVsPrev: { dbCol: 'cm.revenue_growth_30d_vs_prev', type: 'number' },
+    // Add status from the categories table for filtering
+    status: { dbCol: 'c.status', type: 'string' },
+};
+
+function getSafeColumnInfo(queryParamKey) {
+    return COLUMN_MAP[queryParamKey] || null;
+}
+
+// Type Labels (Consider moving to a shared config or fetching from DB)
+const TYPE_LABELS = {
+    10: 'Section', 11: 'Category', 12: 'Subcategory', 13: 'Sub-subcategory',
+    1: 'Company', 2: 'Line', 3: 'Subline', 40: 'Artist', // From old schema comments
+    20: 'Theme', 21: 'Subtheme' // Additional types from categories.js
+};
+
+// --- Route Handlers ---
+
+// GET /categories-aggregate/filter-options
+router.get('/filter-options', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /categories-aggregate/filter-options');
+    try {
+        // Fetch distinct types directly from the aggregate table if reliable
+        // Or join with categories table if source of truth is needed
+        const { rows: typeRows } = await pool.query(`
+            SELECT DISTINCT category_type
+            FROM public.category_metrics
+            ORDER BY category_type
+        `);
+
+        const typeOptions = typeRows.map(r => ({
+            value: r.category_type,
+            label: TYPE_LABELS[r.category_type] || `Type ${r.category_type}` // Add labels
+        }));
+
+        // Add status options for filtering (from categories.js)
+        const { rows: statusRows } = await pool.query(`
+            SELECT DISTINCT status FROM public.categories ORDER BY status
+        `);
+        
+        // Get type counts (from categories.js)
+        const { rows: typeCounts } = await pool.query(`
+            SELECT 
+                type,
+                COUNT(*)::integer as count
+            FROM categories
+            GROUP BY type
+            ORDER BY type
+        `);
+
+        res.json({
+            types: typeOptions,
+            statuses: statusRows.map(r => r.status),
+            typeCounts: typeCounts.map(tc => ({
+                type: tc.type,
+                count: tc.count
+            }))
+        });
+    } catch (error) {
+        console.error('Error fetching category filter options:', error);
+        res.status(500).json({ error: 'Failed to fetch filter options' });
+    }
+});
+
+// GET /categories-aggregate/stats
+router.get('/stats', async (req, res) => {
+     const pool = req.app.locals.pool;
+     console.log('GET /categories-aggregate/stats');
+     try {
+         // Calculate stats directly from the aggregate table
+         const { rows: [stats] } = await pool.query(`
+            SELECT
+                COUNT(*) AS total_categories,
+                -- Count active based on the source categories table status
+                COUNT(CASE WHEN c.status = 'active' THEN cm.category_id END) AS active_categories,
+                SUM(cm.active_product_count) AS total_active_products, -- Sum from aggregates
+                SUM(cm.current_stock_cost) AS total_stock_value, -- Sum from aggregates
+                -- Weighted Average Margin (Revenue as weight)
+                SUM(cm.profit_30d) * 100.0 / NULLIF(SUM(cm.revenue_30d), 0) AS overall_avg_margin_weighted,
+                -- Simple Average Margin (less accurate if categories vary greatly in size)
+                AVG(NULLIF(cm.avg_margin_30d, 0)) AS overall_avg_margin_simple
+                -- Growth rate can be calculated from 30d vs previous 30d revenue if needed
+            FROM public.category_metrics cm
+            JOIN public.categories c ON cm.category_id = c.cat_id -- Join to check category status
+         `);
+
+         res.json({
+             totalCategories: parseInt(stats?.total_categories || 0),
+             activeCategories: parseInt(stats?.active_categories || 0), // Based on categories.status
+             totalActiveProducts: parseInt(stats?.total_active_products || 0),
+             totalValue: parseFloat(stats?.total_stock_value || 0),
+             // Choose which avg margin calculation to expose
+             avgMargin: parseFloat(stats?.overall_avg_margin_weighted || stats?.overall_avg_margin_simple || 0)
+             // Growth rate could be added if we implement the calculation
+         });
+     } catch (error) {
+        console.error('Error fetching category stats:', error);
+        res.status(500).json({ error: 'Failed to fetch category stats.' });
+     }
+});
+
+// GET /categories-aggregate/ (List categories)
+router.get('/', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /categories-aggregate received query:', req.query);
+    try {
+        // --- Pagination ---
+        let page = parseInt(req.query.page, 10) || 1;
+        let limit = parseInt(req.query.limit, 10) || DEFAULT_PAGE_LIMIT;
+        limit = Math.min(limit, MAX_PAGE_LIMIT);
+        const offset = (page - 1) * limit;
+
+        // --- Sorting ---
+        const sortQueryKey = req.query.sort || 'categoryName';
+        const sortColumnInfo = getSafeColumnInfo(sortQueryKey);
+        
+        // Hierarchical sorting logic from categories.js
+        const hierarchicalSortOrder = `
+            ORDER BY 
+                CASE 
+                    WHEN cm.category_type = 10 THEN 1  -- sections first
+                    WHEN cm.category_type = 11 THEN 2  -- categories second
+                    WHEN cm.category_type = 12 THEN 3  -- subcategories third
+                    WHEN cm.category_type = 13 THEN 4  -- subsubcategories fourth
+                    WHEN cm.category_type = 20 THEN 5  -- themes fifth
+                    WHEN cm.category_type = 21 THEN 6  -- subthemes last
+                    ELSE 7
+                END,
+                cm.category_name ASC
+        `;
+        
+        // Use hierarchical sort as default
+        let sortClause = hierarchicalSortOrder;
+        
+        // Override with custom sort if specified
+        if (sortColumnInfo && sortQueryKey !== 'categoryName') {
+            const sortColumn = sortColumnInfo.dbCol;
+            const sortDirection = req.query.order?.toLowerCase() === 'desc' ? 'DESC' : 'ASC';
+            const nullsOrder = (sortDirection === 'ASC' ? 'NULLS FIRST' : 'NULLS LAST');
+            sortClause = `ORDER BY ${sortColumn} ${sortDirection} ${nullsOrder}`;
+        }
+
+        // --- Filtering ---
+        const conditions = [];
+        const params = [];
+        let paramCounter = 1;
+
+        console.log("Starting to process filters from query:", req.query);
+        
+        // Add filters based on req.query using COLUMN_MAP and parseValue
+        for (const key in req.query) {
+            if (['page', 'limit', 'sort', 'order'].includes(key)) continue;
+
+            let filterKey = key;
+            let operator = '='; // Default operator
+            const value = req.query[key];
+            
+            console.log(`Processing filter key: "${key}" with value: "${value}"`);
+
+            const operatorMatch = key.match(/^(.*)_(eq|ne|gt|gte|lt|lte|like|ilike|between|in)$/);
+            if (operatorMatch) {
+                filterKey = operatorMatch[1];
+                operator = operatorMatch[2];
+                console.log(`Parsed filter key: "${filterKey}" with operator: "${operator}"`);
+            }
+
+            // Special case for parentName requires join
+            const requiresJoin = filterKey === 'parentName';
+            const columnInfo = getSafeColumnInfo(filterKey);
+
+            if (columnInfo) {
+                console.log(`Column info for "${filterKey}":`, columnInfo);
+                const dbColumn = columnInfo.dbCol;
+                const valueType = columnInfo.type;
+                 try {
+                    let conditionFragment = '';
+                    let needsParam = true;
+                    switch (operator.toLowerCase()) {
+                        case 'eq': operator = '='; break;
+                        case 'ne': operator = '<>'; break;
+                        case 'gt': operator = '>'; break;
+                        case 'gte': operator = '>='; break;
+                        case 'lt': operator = '<'; break;
+                        case 'lte': operator = '<='; break;
+                        case 'like': operator = 'LIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
+                        case 'ilike': operator = 'ILIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
+                        case 'between':
+                            const [val1, val2] = String(value).split(',');
+                            if (val1 !== undefined && val2 !== undefined) {
+                                conditionFragment = `${dbColumn} BETWEEN $${paramCounter++} AND $${paramCounter++}`;
+                                params.push(parseValue(val1, valueType), parseValue(val2, valueType));
+                                needsParam = false;
+                            } else continue;
+                            break;
+                        case 'in':
+                             const inValues = String(value).split(',');
+                             if (inValues.length > 0) {
+                                const placeholders = inValues.map(() => `$${paramCounter++}`).join(', ');
+                                conditionFragment = `${dbColumn} IN (${placeholders})`;
+                                params.push(...inValues.map(v => parseValue(v, valueType)));
+                                needsParam = false;
+                             } else continue;
+                             break;
+                        default: operator = '='; break;
+                    }
+
+                    if (needsParam) {
+                         try {
+                             // Special handling for categoryType to ensure it works
+                             if (filterKey === 'categoryType') {
+                                 console.log(`Special handling for categoryType: ${value}`);
+                                 // Force conversion to integer
+                                 const numericValue = parseInt(value, 10);
+                                 if (!isNaN(numericValue)) {
+                                     console.log(`Successfully converted categoryType to integer: ${numericValue}`);
+                                     conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
+                                     params.push(numericValue);
+                                 } else {
+                                     console.error(`Failed to convert categoryType to integer: "${value}"`);
+                                     throw new Error(`Invalid categoryType value: "${value}"`);
+                                 }
+                             } else {
+                                 // Normal handling for other fields
+                                 const parsedValue = parseValue(value, valueType);
+                                 console.log(`Parsed "${value}" as ${valueType}: ${parsedValue}`);
+                                 conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
+                                 params.push(parsedValue);
+                             }
+                         } catch (innerError) {
+                             console.error(`Failed to parse "${value}" as ${valueType}:`, innerError);
+                             throw innerError;
+                         }
+                    } else if (!conditionFragment) { // For LIKE/ILIKE where needsParam is false
+                        conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`; // paramCounter was already incremented in push
+                    }
+
+
+                    if (conditionFragment) {
+                         console.log(`Adding condition: ${conditionFragment}`);
+                         conditions.push(`(${conditionFragment})`);
+                    }
+                 } catch (parseError) {
+                     console.error(`Skipping filter for key "${key}" due to parsing error:`, parseError);
+                     if (needsParam) paramCounter--; // Roll back counter if param push failed
+                 }
+            } else {
+                 console.warn(`Invalid filter key ignored: "${key}", not found in COLUMN_MAP`);
+            }
+        }
+
+        // --- Execute Queries ---
+        const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';
+
+        // Need JOIN for parent_name if sorting/filtering by it, or always include for display
+        const sortColumn = sortColumnInfo?.dbCol;
+        
+        // Always include the category and parent joins for status and parent_name
+        const joinSql = `
+            JOIN public.categories c ON cm.category_id = c.cat_id
+            LEFT JOIN public.categories p ON cm.parent_id = p.cat_id
+        `;
+
+        const baseSql = `
+            FROM public.category_metrics cm
+            ${joinSql}
+            ${whereClause}
+        `;
+
+        const countSql = `SELECT COUNT(*) AS total ${baseSql}`;
+        const dataSql = `
+            SELECT 
+                cm.*,
+                c.status,
+                c.description,
+                p.name as parent_name,
+                p.type as parent_type
+            ${baseSql}
+            ${sortClause}
+            LIMIT $${paramCounter} OFFSET $${paramCounter + 1}
+        `;
+        const dataParams = [...params, limit, offset];
+
+        console.log("Count SQL:", countSql, params);
+        console.log("Data SQL:", dataSql, dataParams);
+
+        const [countResult, dataResult] = await Promise.all([
+            pool.query(countSql, params),
+            pool.query(dataSql, dataParams)
+        ]);
+
+        const total = parseInt(countResult.rows[0].total, 10);
+        const categories = dataResult.rows.map(row => {
+            // Create a new object with both snake_case and camelCase keys
+            const transformedRow = { ...row }; // Start with original data
+            
+            for (const key in row) {
+                // Skip null/undefined values
+                if (row[key] === null || row[key] === undefined) {
+                    continue; // Original already has the null value
+                }
+
+                // Transform keys to match frontend expectations (add camelCase versions)
+                // First handle cases like sales_7d -> sales7d
+                let camelKey = key.replace(/_(\d+[a-z])/g, '$1');
+                
+                // Then handle regular snake_case -> camelCase
+                camelKey = camelKey.replace(/_([a-z])/g, (_, letter) => letter.toUpperCase());
+                if (camelKey !== key) { // Only add if different from original
+                    transformedRow[camelKey] = row[key];
+                }
+            }
+            return transformedRow;
+        });
+
+        // --- Respond ---
+        res.json({
+            categories,
+            pagination: { total, pages: Math.ceil(total / limit), currentPage: page, limit },
+        });
+
+    } catch (error) {
+        console.error('Error fetching category metrics list:', error);
+        res.status(500).json({ error: 'Failed to fetch category metrics.' });
+    }
+});
+
+module.exports = router;

inventory-server/src/routes/config.js

@@ -7,164 +7,317 @@ router.use((req, res, next) => {
   next();
 });
 
-// Get all configuration values
-router.get('/', async (req, res) => {
+// ===== GLOBAL SETTINGS =====
+
+// Get all global settings
+router.get('/global', async (req, res) => {
   const pool = req.app.locals.pool;
   try {
-    console.log('[Config Route] Fetching configuration values...');
+    console.log('[Config Route] Fetching global settings...');
     
-    const { rows: stockThresholds } = await pool.query('SELECT * FROM stock_thresholds WHERE id = 1');
-    console.log('[Config Route] Stock thresholds:', stockThresholds);
+    const { rows } = await pool.query('SELECT * FROM settings_global ORDER BY setting_key');
     
-    const { rows: leadTimeThresholds } = await pool.query('SELECT * FROM lead_time_thresholds WHERE id = 1');
-    console.log('[Config Route] Lead time thresholds:', leadTimeThresholds);
+    console.log('[Config Route] Sending global settings:', rows);
+    res.json(rows);
+  } catch (error) {
+    console.error('[Config Route] Error fetching global settings:', error);
+    res.status(500).json({ error: 'Failed to fetch global settings', details: error.message });
+  }
+});
 
-    const { rows: salesVelocityConfig } = await pool.query('SELECT * FROM sales_velocity_config WHERE id = 1');
-    console.log('[Config Route] Sales velocity config:', salesVelocityConfig);
+// Update global settings
+router.put('/global', async (req, res) => {
+  const pool = req.app.locals.pool;
+  try {
+    console.log('[Config Route] Updating global settings:', req.body);
     
-    const { rows: abcConfig } = await pool.query('SELECT * FROM abc_classification_config WHERE id = 1');
-    console.log('[Config Route] ABC config:', abcConfig);
+    // Validate request
+    if (!Array.isArray(req.body)) {
+      return res.status(400).json({ error: 'Request body must be an array of settings' });
+    }
     
-    const { rows: safetyStockConfig } = await pool.query('SELECT * FROM safety_stock_config WHERE id = 1');
-    console.log('[Config Route] Safety stock config:', safetyStockConfig);
+    // Begin transaction
+    const client = await pool.connect();
+    try {
+      await client.query('BEGIN');
       
-    const { rows: turnoverConfig } = await pool.query('SELECT * FROM turnover_config WHERE id = 1');
-    console.log('[Config Route] Turnover config:', turnoverConfig);
+      for (const setting of req.body) {
+        if (!setting.setting_key || !setting.setting_value) {
+          throw new Error('Each setting must have a key and value');
+        }
+        
+        await client.query(
+          `UPDATE settings_global 
+           SET setting_value = $1, 
+               updated_at = CURRENT_TIMESTAMP
+           WHERE setting_key = $2`,
+          [setting.setting_value, setting.setting_key]
+        );
+      }
+      
+      await client.query('COMMIT');
+      res.json({ success: true });
+    } catch (error) {
+      await client.query('ROLLBACK');
+      throw error;
+    } finally {
+      client.release();
+    }
+  } catch (error) {
+    console.error('[Config Route] Error updating global settings:', error);
+    res.status(500).json({ error: 'Failed to update global settings', details: error.message });
+  }
+});
+
+// ===== PRODUCT SETTINGS =====
+
+// Get product settings with pagination and search
+router.get('/products', async (req, res) => {
+  const pool = req.app.locals.pool;
+  try {
+    console.log('[Config Route] Fetching product settings...');
+    
+    const page = parseInt(req.query.page) || 1;
+    const pageSize = parseInt(req.query.pageSize) || 10;
+    const offset = (page - 1) * pageSize;
+    const search = req.query.search || '';
+    
+    // Get total count for pagination
+    const countQuery = search
+      ? `SELECT COUNT(*) FROM settings_product sp
+         JOIN products p ON sp.pid::text = p.pid::text
+         WHERE sp.pid::text ILIKE $1 OR p.title ILIKE $1`
+      : 'SELECT COUNT(*) FROM settings_product';
+    
+    const countParams = search ? [`%${search}%`] : [];
+    const { rows: countResult } = await pool.query(countQuery, countParams);
+    const total = parseInt(countResult[0].count);
+    
+    // Get paginated settings
+    const query = search
+      ? `SELECT sp.*, p.title as product_name 
+         FROM settings_product sp
+         JOIN products p ON sp.pid::text = p.pid::text
+         WHERE sp.pid::text ILIKE $1 OR p.title ILIKE $1
+         ORDER BY sp.pid
+         LIMIT $2 OFFSET $3`
+      : `SELECT sp.*, p.title as product_name 
+         FROM settings_product sp
+         JOIN products p ON sp.pid::text = p.pid::text
+         ORDER BY sp.pid
+         LIMIT $1 OFFSET $2`;
+    
+    const queryParams = search 
+      ? [`%${search}%`, pageSize, offset]
+      : [pageSize, offset];
+    
+    const { rows } = await pool.query(query, queryParams);
     
     const response = {
-      stockThresholds: stockThresholds[0],
-      leadTimeThresholds: leadTimeThresholds[0],
-      salesVelocityConfig: salesVelocityConfig[0],
-      abcConfig: abcConfig[0],
-      safetyStockConfig: safetyStockConfig[0],
-      turnoverConfig: turnoverConfig[0]
+      items: rows,
+      total,
+      page,
+      pageSize
     };
     
-    console.log('[Config Route] Sending response:', response);
+    console.log(`[Config Route] Sending ${rows.length} product settings`);
     res.json(response);
   } catch (error) {
-    console.error('[Config Route] Error fetching configuration:', error);
-    res.status(500).json({ error: 'Failed to fetch configuration', details: error.message });
+    console.error('[Config Route] Error fetching product settings:', error);
+    res.status(500).json({ error: 'Failed to fetch product settings', details: error.message });
   }
 });
 
-// Update stock thresholds
-router.put('/stock-thresholds/:id', async (req, res) => {
+// Update product settings
+router.put('/products/:pid', async (req, res) => {
   const pool = req.app.locals.pool;
   try {
-    const { critical_days, reorder_days, overstock_days, low_stock_threshold, min_reorder_quantity } = req.body;
-    const { rows } = await pool.query(
-      `UPDATE stock_thresholds 
-       SET critical_days = $1,
-           reorder_days = $2,
-           overstock_days = $3,
-           low_stock_threshold = $4,
-           min_reorder_quantity = $5
-       WHERE id = $6`,
-      [critical_days, reorder_days, overstock_days, low_stock_threshold, min_reorder_quantity, req.params.id]
+    const { pid } = req.params;
+    const { lead_time_days, days_of_stock, safety_stock, forecast_method, exclude_from_forecast } = req.body;
+    
+    console.log(`[Config Route] Updating product settings for ${pid}:`, req.body);
+    
+    // Check if product exists
+    const { rows: checkProduct } = await pool.query(
+      'SELECT 1 FROM settings_product WHERE pid::text = $1',
+      [pid]
     );
+    
+    if (checkProduct.length === 0) {
+      // Insert if it doesn't exist
+      await pool.query(
+        `INSERT INTO settings_product 
+         (pid, lead_time_days, days_of_stock, safety_stock, forecast_method, exclude_from_forecast)
+         VALUES ($1, $2, $3, $4, $5, $6)`,
+        [pid, lead_time_days, days_of_stock, safety_stock, forecast_method, exclude_from_forecast]
+      );
+    } else {
+      // Update if it exists
+      await pool.query(
+        `UPDATE settings_product
+         SET lead_time_days = $2,
+             days_of_stock = $3,
+             safety_stock = $4,
+             forecast_method = $5,
+             exclude_from_forecast = $6,
+             updated_at = CURRENT_TIMESTAMP
+         WHERE pid::text = $1`,
+        [pid, lead_time_days, days_of_stock, safety_stock, forecast_method, exclude_from_forecast]
+      );
+    }
+    
     res.json({ success: true });
   } catch (error) {
-    console.error('[Config Route] Error updating stock thresholds:', error);
-    res.status(500).json({ error: 'Failed to update stock thresholds' });
+    console.error(`[Config Route] Error updating product settings for ${req.params.pid}:`, error);
+    res.status(500).json({ error: 'Failed to update product settings', details: error.message });
   }
 });
 
-// Update lead time thresholds
-router.put('/lead-time-thresholds/:id', async (req, res) => {
+// Reset product settings to defaults
+router.post('/products/:pid/reset', async (req, res) => {
   const pool = req.app.locals.pool;
   try {
-    const { target_days, warning_days, critical_days } = req.body;
-    const { rows } = await pool.query(
-      `UPDATE lead_time_thresholds 
-       SET target_days = $1,
-           warning_days = $2,
-           critical_days = $3
-       WHERE id = $4`,
-      [target_days, warning_days, critical_days, req.params.id]
+    const { pid } = req.params;
+    
+    console.log(`[Config Route] Resetting product settings for ${pid}`);
+    
+    // Reset by setting everything to null/default
+    await pool.query(
+      `UPDATE settings_product
+       SET lead_time_days = NULL,
+           days_of_stock = NULL,
+           safety_stock = 0,
+           forecast_method = NULL,
+           exclude_from_forecast = false,
+           updated_at = CURRENT_TIMESTAMP
+       WHERE pid::text = $1`,
+      [pid]
     );
+    
     res.json({ success: true });
   } catch (error) {
-    console.error('[Config Route] Error updating lead time thresholds:', error);
-    res.status(500).json({ error: 'Failed to update lead time thresholds' });
+    console.error(`[Config Route] Error resetting product settings for ${req.params.pid}:`, error);
+    res.status(500).json({ error: 'Failed to reset product settings', details: error.message });
   }
 });
 
-// Update sales velocity config
-router.put('/sales-velocity/:id', async (req, res) => {
+// ===== VENDOR SETTINGS =====
+
+// Get vendor settings with pagination and search
+router.get('/vendors', async (req, res) => {
   const pool = req.app.locals.pool;
   try {
-    const { daily_window_days, weekly_window_days, monthly_window_days } = req.body;
-    const { rows } = await pool.query(
-      `UPDATE sales_velocity_config 
-       SET daily_window_days = $1,
-           weekly_window_days = $2,
-           monthly_window_days = $3
-       WHERE id = $4`,
-      [daily_window_days, weekly_window_days, monthly_window_days, req.params.id]
-    );
-    res.json({ success: true });
+    console.log('[Config Route] Fetching vendor settings...');
+    
+    const page = parseInt(req.query.page) || 1;
+    const pageSize = parseInt(req.query.pageSize) || 10;
+    const offset = (page - 1) * pageSize;
+    const search = req.query.search || '';
+    
+    // Get total count for pagination
+    const countQuery = search
+      ? 'SELECT COUNT(*) FROM settings_vendor WHERE vendor ILIKE $1'
+      : 'SELECT COUNT(*) FROM settings_vendor';
+    
+    const countParams = search ? [`%${search}%`] : [];
+    const { rows: countResult } = await pool.query(countQuery, countParams);
+    const total = parseInt(countResult[0].count);
+    
+    // Get paginated settings
+    const query = search
+      ? `SELECT * FROM settings_vendor
+         WHERE vendor ILIKE $1
+         ORDER BY vendor
+         LIMIT $2 OFFSET $3`
+      : `SELECT * FROM settings_vendor
+         ORDER BY vendor
+         LIMIT $1 OFFSET $2`;
+    
+    const queryParams = search 
+      ? [`%${search}%`, pageSize, offset]
+      : [pageSize, offset];
+    
+    const { rows } = await pool.query(query, queryParams);
+    
+    const response = {
+      items: rows,
+      total,
+      page,
+      pageSize
+    };
+    
+    console.log(`[Config Route] Sending ${rows.length} vendor settings`);
+    res.json(response);
   } catch (error) {
-    console.error('[Config Route] Error updating sales velocity config:', error);
-    res.status(500).json({ error: 'Failed to update sales velocity config' });
+    console.error('[Config Route] Error fetching vendor settings:', error);
+    res.status(500).json({ error: 'Failed to fetch vendor settings', details: error.message });
   }
 });
 
-// Update ABC classification config
-router.put('/abc-classification/:id', async (req, res) => {
+// Update vendor settings
+router.put('/vendors/:vendor', async (req, res) => {
   const pool = req.app.locals.pool;
   try {
-    const { a_threshold, b_threshold, classification_period_days } = req.body;
-    const { rows } = await pool.query(
-      `UPDATE abc_classification_config 
-       SET a_threshold = $1,
-           b_threshold = $2,
-           classification_period_days = $3
-       WHERE id = $4`,
-      [a_threshold, b_threshold, classification_period_days, req.params.id]
+    const vendor = req.params.vendor;
+    const { default_lead_time_days, default_days_of_stock } = req.body;
+    
+    console.log(`[Config Route] Updating vendor settings for ${vendor}:`, req.body);
+    
+    // Check if vendor exists
+    const { rows: checkVendor } = await pool.query(
+      'SELECT 1 FROM settings_vendor WHERE vendor = $1',
+      [vendor]
     );
+    
+    if (checkVendor.length === 0) {
+      // Insert if it doesn't exist
+      await pool.query(
+        `INSERT INTO settings_vendor 
+         (vendor, default_lead_time_days, default_days_of_stock)
+         VALUES ($1, $2, $3)`,
+        [vendor, default_lead_time_days, default_days_of_stock]
+      );
+    } else {
+      // Update if it exists
+      await pool.query(
+        `UPDATE settings_vendor
+         SET default_lead_time_days = $2,
+             default_days_of_stock = $3,
+             updated_at = CURRENT_TIMESTAMP
+         WHERE vendor = $1`,
+        [vendor, default_lead_time_days, default_days_of_stock]
+      );
+    }
+    
     res.json({ success: true });
   } catch (error) {
-    console.error('[Config Route] Error updating ABC classification config:', error);
-    res.status(500).json({ error: 'Failed to update ABC classification config' });
+    console.error(`[Config Route] Error updating vendor settings for ${req.params.vendor}:`, error);
+    res.status(500).json({ error: 'Failed to update vendor settings', details: error.message });
   }
 });
 
-// Update safety stock config
-router.put('/safety-stock/:id', async (req, res) => {
+// Reset vendor settings to defaults
+router.post('/vendors/:vendor/reset', async (req, res) => {
   const pool = req.app.locals.pool;
   try {
-    const { coverage_days, service_level } = req.body;
-    const { rows } = await pool.query(
-      `UPDATE safety_stock_config 
-       SET coverage_days = $1,
-           service_level = $2
-       WHERE id = $3`,
-      [coverage_days, service_level, req.params.id]
-    );
-    res.json({ success: true });
-  } catch (error) {
-    console.error('[Config Route] Error updating safety stock config:', error);
-    res.status(500).json({ error: 'Failed to update safety stock config' });
-  }
-});
+    const vendor = req.params.vendor;
     
-// Update turnover config
-router.put('/turnover/:id', async (req, res) => {
-  const pool = req.app.locals.pool;
-  try {
-    const { calculation_period_days, target_rate } = req.body;
-    const { rows } = await pool.query(
-      `UPDATE turnover_config 
-       SET calculation_period_days = $1,
-           target_rate = $2
-       WHERE id = $3`,
-      [calculation_period_days, target_rate, req.params.id]
+    console.log(`[Config Route] Resetting vendor settings for ${vendor}`);
+    
+    // Reset by setting everything to null
+    await pool.query(
+      `UPDATE settings_vendor
+       SET default_lead_time_days = NULL,
+           default_days_of_stock = NULL,
+           updated_at = CURRENT_TIMESTAMP
+       WHERE vendor = $1`,
+      [vendor]
     );
+    
     res.json({ success: true });
   } catch (error) {
-    console.error('[Config Route] Error updating turnover config:', error);
-    res.status(500).json({ error: 'Failed to update turnover config' });
+    console.error(`[Config Route] Error resetting vendor settings for ${req.params.vendor}:`, error);
+    res.status(500).json({ error: 'Failed to reset vendor settings', details: error.message });
   }
 });
 

inventory-server/src/routes/csv.js

@@ -1,833 +0,0 @@
-const express = require('express');
-const router = express.Router();
-const { spawn } = require('child_process');
-const path = require('path');
-const db = require('../utils/db');
-
-// Debug middleware MUST be first
-router.use((req, res, next) => {
-    console.log(`[CSV Route Debug] ${req.method} ${req.path}`);
-    next();
-});
-
-// Store active processes and their progress
-let activeImport = null;
-let importProgress = null;
-let activeFullUpdate = null;
-let activeFullReset = null;
-
-// SSE clients for progress updates
-const updateClients = new Set();
-const importClients = new Set();
-const resetClients = new Set();
-const resetMetricsClients = new Set();
-const calculateMetricsClients = new Set();
-const fullUpdateClients = new Set();
-const fullResetClients = new Set();
-
-// Helper to send progress to specific clients
-function sendProgressToClients(clients, data) {
-    // If data is a string, send it directly
-    // If it's an object, convert it to JSON
-    const message = typeof data === 'string' 
-        ? `data: ${data}\n\n`
-        : `data: ${JSON.stringify(data)}\n\n`;
-    
-    clients.forEach(client => {
-        try {
-            client.write(message);
-            // Immediately flush the response
-            if (typeof client.flush === 'function') {
-                client.flush();
-            }
-        } catch (error) {
-            // Silently remove failed client
-            clients.delete(client);
-        }
-    });
-}
-
-// Helper to run a script and stream progress
-function runScript(scriptPath, type, clients) {
-    return new Promise((resolve, reject) => {
-        // Kill any existing process of this type
-        let activeProcess;
-        switch (type) {
-            case 'update':
-                if (activeFullUpdate) {
-                    try { activeFullUpdate.kill(); } catch (e) { }
-                }
-                activeProcess = activeFullUpdate;
-                break;
-            case 'reset':
-                if (activeFullReset) {
-                    try { activeFullReset.kill(); } catch (e) { }
-                }
-                activeProcess = activeFullReset;
-                break;
-        }
-
-        const child = spawn('node', [scriptPath], {
-            stdio: ['inherit', 'pipe', 'pipe']
-        });
-
-        switch (type) {
-            case 'update':
-                activeFullUpdate = child;
-                break;
-            case 'reset':
-                activeFullReset = child;
-                break;
-        }
-
-        let output = '';
-
-        child.stdout.on('data', (data) => {
-            const text = data.toString();
-            output += text;
-            
-            // Split by lines to handle multiple JSON outputs
-            const lines = text.split('\n');
-            lines.filter(line => line.trim()).forEach(line => {
-                try {
-                    // Try to parse as JSON but don't let it affect the display
-                    const jsonData = JSON.parse(line);
-                    // Only end the process if we get a final status
-                    if (jsonData.status === 'complete' || jsonData.status === 'error' || jsonData.status === 'cancelled') {
-                        if (jsonData.status === 'complete' && !jsonData.operation?.includes('complete')) {
-                            // Don't close for intermediate completion messages
-                            sendProgressToClients(clients, line);
-                            return;
-                        }
-                        // Close only on final completion/error/cancellation
-                        switch (type) {
-                            case 'update':
-                                activeFullUpdate = null;
-                                break;
-                            case 'reset':
-                                activeFullReset = null;
-                                break;
-                        }
-                        if (jsonData.status === 'error') {
-                            reject(new Error(jsonData.error || 'Unknown error'));
-                        } else {
-                            resolve({ output });
-                        }
-                    }
-                } catch (e) {
-                    // Not JSON, just display as is
-                }
-                // Always send the raw line
-                sendProgressToClients(clients, line);
-            });
-        });
-
-        child.stderr.on('data', (data) => {
-            const text = data.toString();
-            console.error(text);
-            // Send stderr output directly too
-            sendProgressToClients(clients, text);
-        });
-
-        child.on('close', (code) => {
-            switch (type) {
-                case 'update':
-                    activeFullUpdate = null;
-                    break;
-                case 'reset':
-                    activeFullReset = null;
-                    break;
-            }
-
-            if (code !== 0) {
-                const error = `Script ${scriptPath} exited with code ${code}`;
-                sendProgressToClients(clients, error);
-                reject(new Error(error));
-            }
-            // Don't resolve here - let the completion message from the script trigger the resolve
-        });
-
-        child.on('error', (err) => {
-            switch (type) {
-                case 'update':
-                    activeFullUpdate = null;
-                    break;
-                case 'reset':
-                    activeFullReset = null;
-                    break;
-            }
-            sendProgressToClients(clients, err.message);
-            reject(err);
-        });
-    });
-}
-
-// Progress endpoints
-router.get('/:type/progress', (req, res) => {
-    const { type } = req.params;
-    if (!['update', 'reset'].includes(type)) {
-        return res.status(400).json({ error: 'Invalid operation type' });
-    }
-
-    res.writeHead(200, {
-        'Content-Type': 'text/event-stream',
-        'Cache-Control': 'no-cache',
-        'Connection': 'keep-alive',
-        'Access-Control-Allow-Origin': req.headers.origin || '*',
-        'Access-Control-Allow-Credentials': 'true'
-    });
-
-    // Add this client to the correct set
-    const clients = type === 'update' ? fullUpdateClients : fullResetClients;
-    clients.add(res);
-
-    // Send initial connection message
-    sendProgressToClients(new Set([res]), JSON.stringify({
-        status: 'running',
-        operation: 'Initializing connection...'
-    }));
-
-    // Handle client disconnect
-    req.on('close', () => {
-        clients.delete(res);
-    });
-});
-
-// Debug endpoint to verify route registration
-router.get('/test', (req, res) => {
-    console.log('CSV test endpoint hit');
-    res.json({ message: 'CSV routes are working' });
-});
-
-// Route to check import status
-router.get('/status', (req, res) => {
-    console.log('CSV status endpoint hit');
-    res.json({
-        active: !!activeImport,
-        progress: importProgress
-    });
-});
-
-// Add calculate-metrics status endpoint
-router.get('/calculate-metrics/status', (req, res) => {
-    const calculateMetrics = require('../../scripts/calculate-metrics');
-    const progress = calculateMetrics.getProgress();
-    
-    // Only consider it active if both the process is running and we have progress
-    const isActive = !!activeImport && !!progress;
-    
-    res.json({
-        active: isActive,
-        progress: isActive ? progress : null
-    });
-});
-
-// Route to update CSV files
-router.post('/update', async (req, res, next) => {
-    if (activeImport) {
-        return res.status(409).json({ error: 'Import already in progress' });
-    }
-
-    try {
-        const scriptPath = path.join(__dirname, '..', '..', 'scripts', 'update-csv.js');
-        
-        if (!require('fs').existsSync(scriptPath)) {
-            return res.status(500).json({ error: 'Update script not found' });
-        }
-        
-        activeImport = spawn('node', [scriptPath]);
-        
-        activeImport.stdout.on('data', (data) => {
-            const output = data.toString().trim();
-            
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(output);
-                sendProgressToClients(updateClients, {
-                    status: 'running',
-                    ...jsonData
-                });
-            } catch (e) {
-                // If not JSON, send as plain progress
-                sendProgressToClients(updateClients, { 
-                    status: 'running',
-                    progress: output
-                });
-            }
-        });
-
-        activeImport.stderr.on('data', (data) => {
-            const error = data.toString().trim();
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(error);
-                sendProgressToClients(updateClients, { 
-                    status: 'error',
-                    ...jsonData
-                });
-            } catch {
-                sendProgressToClients(updateClients, { 
-                    status: 'error',
-                    error
-                });
-            }
-        });
-
-        await new Promise((resolve, reject) => {
-            activeImport.on('close', (code) => {
-                // Don't treat cancellation (code 143/SIGTERM) as an error
-                if (code === 0 || code === 143) {
-                    sendProgressToClients(updateClients, { 
-                        status: 'complete',
-                        operation: code === 143 ? 'Operation cancelled' : 'Update complete'
-                    });
-                    resolve();
-                } else {
-                    const errorMsg = `Update process exited with code ${code}`;
-                    sendProgressToClients(updateClients, { 
-                        status: 'error',
-                        error: errorMsg
-                    });
-                    reject(new Error(errorMsg));
-                }
-                activeImport = null;
-                importProgress = null;
-            });
-        });
-
-        res.json({ success: true });
-    } catch (error) {
-        console.error('Error updating CSV files:', error);
-        activeImport = null;
-        importProgress = null;
-        sendProgressToClients(updateClients, { 
-            status: 'error',
-            error: error.message
-        });
-        next(error);
-    }
-});
-
-// Route to import CSV files
-router.post('/import', async (req, res) => {
-    if (activeImport) {
-        return res.status(409).json({ error: 'Import already in progress' });
-    }
-
-    try {
-        const scriptPath = path.join(__dirname, '..', '..', 'scripts', 'import-csv.js');
-        
-        if (!require('fs').existsSync(scriptPath)) {
-            return res.status(500).json({ error: 'Import script not found' });
-        }
-        
-        // Get test limits from request body
-        const { products = 0, orders = 10000, purchaseOrders = 10000 } = req.body;
-        
-        // Create environment variables for the script
-        const env = {
-            ...process.env,
-            PRODUCTS_TEST_LIMIT: products.toString(),
-            ORDERS_TEST_LIMIT: orders.toString(),
-            PURCHASE_ORDERS_TEST_LIMIT: purchaseOrders.toString()
-        };
-        
-        activeImport = spawn('node', [scriptPath], { env });
-        
-        activeImport.stdout.on('data', (data) => {
-            const output = data.toString().trim();
-            
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(output);
-                sendProgressToClients(importClients, {
-                    status: 'running',
-                    ...jsonData
-                });
-            } catch {
-                // If not JSON, send as plain progress
-                sendProgressToClients(importClients, { 
-                    status: 'running',
-                    progress: output
-                });
-            }
-        });
-
-        activeImport.stderr.on('data', (data) => {
-            const error = data.toString().trim();
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(error);
-                sendProgressToClients(importClients, { 
-                    status: 'error',
-                    ...jsonData
-                });
-            } catch {
-                sendProgressToClients(importClients, { 
-                    status: 'error',
-                    error
-                });
-            }
-        });
-
-        await new Promise((resolve, reject) => {
-            activeImport.on('close', (code) => {
-                // Don't treat cancellation (code 143/SIGTERM) as an error
-                if (code === 0 || code === 143) {
-                    sendProgressToClients(importClients, { 
-                        status: 'complete',
-                        operation: code === 143 ? 'Operation cancelled' : 'Import complete'
-                    });
-                    resolve();
-                } else {
-                    sendProgressToClients(importClients, { 
-                        status: 'error',
-                        error: `Process exited with code ${code}`
-                    });
-                    reject(new Error(`Import process exited with code ${code}`));
-                }
-                activeImport = null;
-                importProgress = null;
-            });
-        });
-
-        res.json({ success: true });
-    } catch (error) {
-        console.error('Error importing CSV files:', error);
-        activeImport = null;
-        importProgress = null;
-        sendProgressToClients(importClients, { 
-            status: 'error',
-            error: error.message
-        });
-        res.status(500).json({ error: 'Failed to import CSV files', details: error.message });
-    }
-});
-
-// Route to cancel active process
-router.post('/cancel', (req, res) => {
-    let killed = false;
-
-    // Get the operation type from the request
-    const { type } = req.query;
-    const clients = type === 'update' ? fullUpdateClients : fullResetClients;
-    const activeProcess = type === 'update' ? activeFullUpdate : activeFullReset;
-
-    if (activeProcess) {
-        try {
-            activeProcess.kill('SIGTERM');
-            if (type === 'update') {
-                activeFullUpdate = null;
-            } else {
-                activeFullReset = null;
-            }
-            killed = true;
-            sendProgressToClients(clients, JSON.stringify({
-                status: 'cancelled',
-                operation: 'Operation cancelled'
-            }));
-        } catch (err) {
-            console.error(`Error killing ${type} process:`, err);
-        }
-    }
-
-    if (killed) {
-        res.json({ success: true });
-    } else {
-        res.status(404).json({ error: 'No active process to cancel' });
-    }
-});
-
-// Route to reset database
-router.post('/reset', async (req, res) => {
-    if (activeImport) {
-        return res.status(409).json({ error: 'Import already in progress' });
-    }
-
-    try {
-        const scriptPath = path.join(__dirname, '..', '..', 'scripts', 'reset-db.js');
-        
-        if (!require('fs').existsSync(scriptPath)) {
-            return res.status(500).json({ error: 'Reset script not found' });
-        }
-        
-        activeImport = spawn('node', [scriptPath]);
-        
-        activeImport.stdout.on('data', (data) => {
-            const output = data.toString().trim();
-            
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(output);
-                sendProgressToClients(resetClients, {
-                    status: 'running',
-                    ...jsonData
-                });
-            } catch (e) {
-                // If not JSON, send as plain progress
-                sendProgressToClients(resetClients, { 
-                    status: 'running',
-                    progress: output
-                });
-            }
-        });
-
-        activeImport.stderr.on('data', (data) => {
-            const error = data.toString().trim();
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(error);
-                sendProgressToClients(resetClients, { 
-                    status: 'error',
-                    ...jsonData
-                });
-            } catch {
-                sendProgressToClients(resetClients, { 
-                    status: 'error',
-                    error
-                });
-            }
-        });
-
-        await new Promise((resolve, reject) => {
-            activeImport.on('close', (code) => {
-                // Don't treat cancellation (code 143/SIGTERM) as an error
-                if (code === 0 || code === 143) {
-                    sendProgressToClients(resetClients, { 
-                        status: 'complete',
-                        operation: code === 143 ? 'Operation cancelled' : 'Reset complete'
-                    });
-                    resolve();
-                } else {
-                    const errorMsg = `Reset process exited with code ${code}`;
-                    sendProgressToClients(resetClients, { 
-                        status: 'error',
-                        error: errorMsg
-                    });
-                    reject(new Error(errorMsg));
-                }
-                activeImport = null;
-                importProgress = null;
-            });
-        });
-
-        res.json({ success: true });
-    } catch (error) {
-        console.error('Error resetting database:', error);
-        activeImport = null;
-        importProgress = null;
-        sendProgressToClients(resetClients, { 
-            status: 'error',
-            error: error.message
-        });
-        res.status(500).json({ error: 'Failed to reset database', details: error.message });
-    }
-});
-
-// Add reset-metrics endpoint
-router.post('/reset-metrics', async (req, res) => {
-    if (activeImport) {
-        res.status(400).json({ error: 'Operation already in progress' });
-        return;
-    }
-
-    try {
-        // Set active import to prevent concurrent operations
-        activeImport = {
-            type: 'reset-metrics',
-            status: 'running',
-            operation: 'Starting metrics reset'
-        };
-
-        // Send initial response
-        res.status(200).json({ message: 'Reset metrics started' });
-
-        // Send initial progress through SSE
-        sendProgressToClients(resetMetricsClients, {
-            status: 'running',
-            operation: 'Starting metrics reset'
-        });
-
-        // Run the reset metrics script
-        const resetMetrics = require('../../scripts/reset-metrics');
-        await resetMetrics();
-
-        // Send completion through SSE
-        sendProgressToClients(resetMetricsClients, {
-            status: 'complete',
-            operation: 'Metrics reset completed'
-        });
-
-        activeImport = null;
-    } catch (error) {
-        console.error('Error during metrics reset:', error);
-        
-        // Send error through SSE
-        sendProgressToClients(resetMetricsClients, {
-            status: 'error',
-            error: error.message || 'Failed to reset metrics'
-        });
-        
-        activeImport = null;
-        res.status(500).json({ error: error.message || 'Failed to reset metrics' });
-    }
-});
-
-// Add calculate-metrics endpoint
-router.post('/calculate-metrics', async (req, res) => {
-    if (activeImport) {
-        return res.status(409).json({ error: 'Import already in progress' });
-    }
-
-    try {
-        const scriptPath = path.join(__dirname, '..', '..', 'scripts', 'calculate-metrics.js');
-        
-        if (!require('fs').existsSync(scriptPath)) {
-            return res.status(500).json({ error: 'Calculate metrics script not found' });
-        }
-        
-        activeImport = spawn('node', [scriptPath]);
-        let wasCancelled = false;
-        
-        activeImport.stdout.on('data', (data) => {
-            const output = data.toString().trim();
-            
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(output);
-                importProgress = {
-                    status: 'running',
-                    ...jsonData.progress
-                };
-                sendProgressToClients(calculateMetricsClients, importProgress);
-            } catch (e) {
-                // If not JSON, send as plain progress
-                importProgress = { 
-                    status: 'running',
-                    progress: output
-                };
-                sendProgressToClients(calculateMetricsClients, importProgress);
-            }
-        });
-
-        activeImport.stderr.on('data', (data) => {
-            if (wasCancelled) return; // Don't send errors if cancelled
-            
-            const error = data.toString().trim();
-            try {
-                // Try to parse as JSON
-                const jsonData = JSON.parse(error);
-                importProgress = { 
-                    status: 'error',
-                    ...jsonData.progress
-                };
-                sendProgressToClients(calculateMetricsClients, importProgress);
-            } catch {
-                importProgress = { 
-                    status: 'error',
-                    error
-                };
-                sendProgressToClients(calculateMetricsClients, importProgress);
-            }
-        });
-
-        await new Promise((resolve, reject) => {
-            activeImport.on('close', (code, signal) => {
-                wasCancelled = signal === 'SIGTERM' || code === 143;
-                activeImport = null;
-                
-                if (code === 0 || wasCancelled) {
-                    if (wasCancelled) {
-                        importProgress = {
-                            status: 'cancelled',
-                            operation: 'Operation cancelled'
-                        };
-                        sendProgressToClients(calculateMetricsClients, importProgress);
-                    } else {
-                        importProgress = {
-                            status: 'complete',
-                            operation: 'Metrics calculation complete'
-                        };
-                        sendProgressToClients(calculateMetricsClients, importProgress);
-                    }
-                    resolve();
-                } else {
-                    importProgress = null;
-                    reject(new Error(`Metrics calculation process exited with code ${code}`));
-                }
-            });
-        });
-
-        res.json({ success: true });
-    } catch (error) {
-        console.error('Error calculating metrics:', error);
-        activeImport = null;
-        importProgress = null;
-        
-        // Only send error if it wasn't a cancellation
-        if (!error.message?.includes('code 143') && !error.message?.includes('SIGTERM')) {
-            sendProgressToClients(calculateMetricsClients, { 
-                status: 'error',
-                error: error.message
-            });
-            res.status(500).json({ error: 'Failed to calculate metrics', details: error.message });
-        } else {
-            res.json({ success: true });
-        }
-    }
-});
-
-// Route to import from production database
-router.post('/import-from-prod', async (req, res) => {
-    if (activeImport) {
-        return res.status(409).json({ error: 'Import already in progress' });
-    }
-
-    try {
-        const importFromProd = require('../../scripts/import-from-prod');
-        
-        // Set up progress handler
-        const progressHandler = (data) => {
-            importProgress = data;
-            sendProgressToClients(importClients, data);
-        };
-
-        // Start the import process
-        importFromProd.outputProgress = progressHandler;
-        activeImport = importFromProd; // Store the module for cancellation
-        
-        // Run the import in the background
-        importFromProd.main().catch(error => {
-            console.error('Error in import process:', error);
-            activeImport = null;
-            importProgress = {
-                status: error.message === 'Import cancelled' ? 'cancelled' : 'error',
-                operation: 'Import process',
-                error: error.message
-            };
-            sendProgressToClients(importClients, importProgress);
-        }).finally(() => {
-            activeImport = null;
-        });
-
-        res.json({ message: 'Import from production started' });
-    } catch (error) {
-        console.error('Error starting production import:', error);
-        activeImport = null;
-        res.status(500).json({ error: error.message || 'Failed to start production import' });
-    }
-});
-
-// POST /csv/full-update - Run full update script
-router.post('/full-update', async (req, res) => {
-    try {
-        const scriptPath = path.join(__dirname, '../../scripts/full-update.js');
-        runScript(scriptPath, 'update', fullUpdateClients)
-            .catch(error => {
-                console.error('Update failed:', error);
-            });
-        res.status(202).json({ message: 'Update started' });
-    } catch (error) {
-        res.status(500).json({ error: error.message });
-    }
-});
-
-// POST /csv/full-reset - Run full reset script
-router.post('/full-reset', async (req, res) => {
-    try {
-        const scriptPath = path.join(__dirname, '../../scripts/full-reset.js');
-        runScript(scriptPath, 'reset', fullResetClients)
-            .catch(error => {
-                console.error('Reset failed:', error);
-            });
-        res.status(202).json({ message: 'Reset started' });
-    } catch (error) {
-        res.status(500).json({ error: error.message });
-    }
-});
-
-// GET /history/import - Get recent import history
-router.get('/history/import', async (req, res) => {
-    try {
-        const pool = req.app.locals.pool;
-        const { rows } = await pool.query(`
-            SELECT 
-                id,
-                start_time,
-                end_time,
-                status,
-                error_message,
-                records_added::integer,
-                records_updated::integer
-            FROM import_history 
-            ORDER BY start_time DESC 
-            LIMIT 20
-        `);
-        res.json(rows || []);
-    } catch (error) {
-        console.error('Error fetching import history:', error);
-        res.status(500).json({ error: error.message });
-    }
-});
-
-// GET /history/calculate - Get recent calculation history
-router.get('/history/calculate', async (req, res) => {
-    try {
-        const pool = req.app.locals.pool;
-        const { rows } = await pool.query(`
-            SELECT 
-                id,
-                start_time,
-                end_time,
-                status,
-                error_message,
-                modules_processed::integer,
-                total_modules::integer
-            FROM calculate_history 
-            ORDER BY start_time DESC 
-            LIMIT 20
-        `);
-        res.json(rows || []);
-    } catch (error) {
-        console.error('Error fetching calculate history:', error);
-        res.status(500).json({ error: error.message });
-    }
-});
-
-// GET /status/modules - Get module calculation status
-router.get('/status/modules', async (req, res) => {
-    try {
-        const pool = req.app.locals.pool;
-        const { rows } = await pool.query(`
-            SELECT 
-                module_name, 
-                last_calculation_timestamp::timestamp 
-            FROM calculate_status 
-            ORDER BY module_name
-        `);
-        res.json(rows || []);
-    } catch (error) {
-        console.error('Error fetching module status:', error);
-        res.status(500).json({ error: error.message });
-    }
-});
-
-// GET /status/tables - Get table sync status
-router.get('/status/tables', async (req, res) => {
-    try {
-        const pool = req.app.locals.pool;
-        const { rows } = await pool.query(`
-            SELECT 
-                table_name, 
-                last_sync_timestamp::timestamp 
-            FROM sync_status 
-            ORDER BY table_name
-        `);
-        res.json(rows || []);
-    } catch (error) {
-        console.error('Error fetching table status:', error);
-        res.status(500).json({ error: error.message });
-    }
-});
-
-module.exports = router; 

inventory-server/src/routes/dashboard.js

@@ -22,11 +22,11 @@ router.get('/stock/metrics', async (req, res) => {
         const { rows: [stockMetrics] } = await executeQuery(`
             SELECT 
                 COALESCE(COUNT(*), 0)::integer as total_products,
-                COALESCE(COUNT(CASE WHEN stock_quantity > 0 THEN 1 END), 0)::integer as products_in_stock,
-                COALESCE(SUM(CASE WHEN stock_quantity > 0 THEN stock_quantity END), 0)::integer as total_units,
-                ROUND(COALESCE(SUM(CASE WHEN stock_quantity > 0 THEN stock_quantity * cost_price END), 0)::numeric, 3) as total_cost,
-                ROUND(COALESCE(SUM(CASE WHEN stock_quantity > 0 THEN stock_quantity * price END), 0)::numeric, 3) as total_retail
-            FROM products
+                COALESCE(COUNT(CASE WHEN current_stock > 0 THEN 1 END), 0)::integer as products_in_stock,
+                COALESCE(SUM(CASE WHEN current_stock > 0 THEN current_stock END), 0)::integer as total_units,
+                ROUND(COALESCE(SUM(CASE WHEN current_stock > 0 THEN current_stock_cost END), 0)::numeric, 3) as total_cost,
+                ROUND(COALESCE(SUM(CASE WHEN current_stock > 0 THEN current_stock_retail END), 0)::numeric, 3) as total_retail
+            FROM product_metrics
         `);
 
         console.log('Raw stockMetrics from database:', stockMetrics);
@@ -42,13 +42,13 @@ router.get('/stock/metrics', async (req, res) => {
                 SELECT 
                     COALESCE(brand, 'Unbranded') as brand,
                     COUNT(DISTINCT pid)::integer as variant_count,
-                    COALESCE(SUM(stock_quantity), 0)::integer as stock_units,
-                    ROUND(COALESCE(SUM(stock_quantity * cost_price), 0)::numeric, 3) as stock_cost,
-                    ROUND(COALESCE(SUM(stock_quantity * price), 0)::numeric, 3) as stock_retail
-                FROM products
-                WHERE stock_quantity > 0
+                    COALESCE(SUM(current_stock), 0)::integer as stock_units,
+                    ROUND(COALESCE(SUM(current_stock_cost), 0)::numeric, 3) as stock_cost,
+                    ROUND(COALESCE(SUM(current_stock_retail), 0)::numeric, 3) as stock_retail
+                FROM product_metrics
+                WHERE current_stock > 0
                 GROUP BY COALESCE(brand, 'Unbranded')
-                HAVING ROUND(COALESCE(SUM(stock_quantity * cost_price), 0)::numeric, 3) > 0
+                HAVING ROUND(COALESCE(SUM(current_stock_cost), 0)::numeric, 3) > 0
             ),
             other_brands AS (
                 SELECT 
@@ -102,54 +102,64 @@ router.get('/stock/metrics', async (req, res) => {
 // Returns purchase order metrics by vendor
 router.get('/purchase/metrics', async (req, res) => {
     try {
+        // First check if there are any purchase orders in the database
+        const { rows: [poCount] } = await executeQuery(`
+            SELECT COUNT(*) as count FROM purchase_orders
+        `);
+        
         const { rows: [poMetrics] } = await executeQuery(`
+            WITH po_metrics AS (
                 SELECT 
-                COALESCE(COUNT(DISTINCT CASE 
-                    WHEN po.receiving_status < $1 
-                    THEN po.po_id 
-                END), 0)::integer as active_pos,
-                COALESCE(COUNT(DISTINCT CASE 
-                    WHEN po.receiving_status < $1 
-                    AND po.expected_date < CURRENT_DATE 
-                    THEN po.po_id 
-                END), 0)::integer as overdue_pos,
-                COALESCE(SUM(CASE 
-                    WHEN po.receiving_status < $1 
-                    THEN po.ordered 
-                    ELSE 0 
-                END), 0)::integer as total_units,
-                ROUND(COALESCE(SUM(CASE 
-                    WHEN po.receiving_status < $1 
-                    THEN po.ordered * po.cost_price 
-                    ELSE 0 
-                END), 0)::numeric, 3) as total_cost,
-                ROUND(COALESCE(SUM(CASE 
-                    WHEN po.receiving_status < $1 
-                    THEN po.ordered * p.price 
-                    ELSE 0 
-                END), 0)::numeric, 3) as total_retail
+                    po_id,
+                    status,
+                    date,
+                    expected_date,
+                    pid,
+                    ordered,
+                    po_cost_price
                 FROM purchase_orders po
-            JOIN products p ON po.pid = p.pid
-        `, [ReceivingStatus.PartialReceived]);
+                WHERE po.status NOT IN ('canceled', 'done')
+                AND po.date >= CURRENT_DATE - INTERVAL '6 months'
+            )
+            SELECT 
+                COUNT(DISTINCT po_id)::integer as active_pos,
+                COUNT(DISTINCT CASE WHEN expected_date < CURRENT_DATE THEN po_id END)::integer as overdue_pos,
+                SUM(ordered)::integer as total_units,
+                ROUND(SUM(ordered * po_cost_price)::numeric, 3) as total_cost,
+                ROUND(SUM(ordered * pm.current_price)::numeric, 3) as total_retail
+            FROM po_metrics po
+            JOIN product_metrics pm ON po.pid = pm.pid
+        `);
 
         const { rows: vendorOrders } = await executeQuery(`
+            WITH po_by_vendor AS (
                 SELECT 
-                po.vendor,
-                COUNT(DISTINCT po.po_id)::integer as orders,
-                COALESCE(SUM(po.ordered), 0)::integer as units,
-                ROUND(COALESCE(SUM(po.ordered * po.cost_price), 0)::numeric, 3) as cost,
-                ROUND(COALESCE(SUM(po.ordered * p.price), 0)::numeric, 3) as retail
-            FROM purchase_orders po
-            JOIN products p ON po.pid = p.pid
-            WHERE po.receiving_status < $1
-            GROUP BY po.vendor
-            HAVING ROUND(COALESCE(SUM(po.ordered * po.cost_price), 0)::numeric, 3) > 0
+                    vendor,
+                    po_id,
+                    SUM(ordered) as total_ordered,
+                    SUM(ordered * po_cost_price) as total_cost
+                FROM purchase_orders
+                WHERE status NOT IN ('canceled', 'done')
+                AND date >= CURRENT_DATE - INTERVAL '6 months'
+                GROUP BY vendor, po_id
+            )
+            SELECT 
+                pv.vendor,
+                COUNT(DISTINCT pv.po_id)::integer as orders,
+                SUM(pv.total_ordered)::integer as units,
+                ROUND(SUM(pv.total_cost)::numeric, 3) as cost,
+                ROUND(SUM(pv.total_ordered * pm.current_price)::numeric, 3) as retail
+            FROM po_by_vendor pv
+            JOIN purchase_orders po ON pv.po_id = po.po_id
+            JOIN product_metrics pm ON po.pid = pm.pid
+            GROUP BY pv.vendor
+            HAVING ROUND(SUM(pv.total_cost)::numeric, 3) > 0
             ORDER BY cost DESC
-        `, [ReceivingStatus.PartialReceived]);
+        `);
 
-        // If no data or missing metrics, provide dummy data
-        if (!poMetrics || vendorOrders.length === 0) {
-            console.log('No purchase metrics found, returning dummy data');
+        // If no purchase orders exist at all in the database, return dummy data
+        if (parseInt(poCount.count) === 0) {
+            console.log('No purchase orders found in database, returning dummy data');
             
             return res.json({
                 activePurchaseOrders: 12,
@@ -165,6 +175,20 @@ router.get('/purchase/metrics', async (req, res) => {
             });
         }
         
+        // If no active purchase orders match the criteria, return zeros instead of dummy data
+        if (vendorOrders.length === 0) {
+            console.log('No active purchase orders matching criteria, returning zeros');
+            
+            return res.json({
+                activePurchaseOrders: parseInt(poMetrics.active_pos) || 0,
+                overduePurchaseOrders: parseInt(poMetrics.overdue_pos) || 0,
+                onOrderUnits: parseInt(poMetrics.total_units) || 0,
+                onOrderCost: parseFloat(poMetrics.total_cost) || 0,
+                onOrderRetail: parseFloat(poMetrics.total_retail) || 0,
+                vendorOrders: []
+            });
+        }
+
         // Format response to match PurchaseMetricsData interface
         const response = {
             activePurchaseOrders: parseInt(poMetrics.active_pos) || 0,
@@ -184,19 +208,15 @@ router.get('/purchase/metrics', async (req, res) => {
         res.json(response);
     } catch (err) {
         console.error('Error fetching purchase metrics:', err);
-        
-        // Return dummy data on error
-        res.json({
-            activePurchaseOrders: 12,
-            overduePurchaseOrders: 3,
-            onOrderUnits: 1250,
-            onOrderCost: 12500,
-            onOrderRetail: 25000,
-            vendorOrders: [
-                { vendor: "Test Vendor 1", orders: 5, units: 500, cost: 5000, retail: 10000 },
-                { vendor: "Test Vendor 2", orders: 4, units: 400, cost: 4000, retail: 8000 },
-                { vendor: "Test Vendor 3", orders: 3, units: 350, cost: 3500, retail: 7000 }
-            ]
+        res.status(500).json({ 
+            error: 'Failed to fetch purchase metrics', 
+            details: err.message,
+            activePurchaseOrders: 0,
+            overduePurchaseOrders: 0,
+            onOrderUnits: 0,
+            onOrderCost: 0,
+            onOrderRetail: 0,
+            vendorOrders: []
         });
     }
 });
@@ -208,54 +228,35 @@ router.get('/replenishment/metrics', async (req, res) => {
         // Get summary metrics
         const { rows: [metrics] } = await executeQuery(`
             SELECT 
-                COUNT(DISTINCT p.pid)::integer as products_to_replenish,
-                COALESCE(SUM(CASE 
-                    WHEN p.stock_quantity < 0 THEN ABS(p.stock_quantity) + pm.reorder_qty
-                    ELSE pm.reorder_qty 
-                END), 0)::integer as total_units_needed,
-                ROUND(COALESCE(SUM(CASE 
-                    WHEN p.stock_quantity < 0 THEN (ABS(p.stock_quantity) + pm.reorder_qty) * p.cost_price
-                    ELSE pm.reorder_qty * p.cost_price 
-                END), 0)::numeric, 3) as total_cost,
-                ROUND(COALESCE(SUM(CASE 
-                    WHEN p.stock_quantity < 0 THEN (ABS(p.stock_quantity) + pm.reorder_qty) * p.price
-                    ELSE pm.reorder_qty * p.price 
-                END), 0)::numeric, 3) as total_retail
-            FROM products p
-            JOIN product_metrics pm ON p.pid = pm.pid
-            WHERE p.replenishable = true
-                AND (pm.stock_status IN ('Critical', 'Reorder')
-                    OR p.stock_quantity < 0)
-                AND pm.reorder_qty > 0
+                COUNT(DISTINCT pm.pid)::integer as products_to_replenish,
+                COALESCE(SUM(pm.replenishment_units), 0)::integer as total_units_needed,
+                ROUND(COALESCE(SUM(pm.replenishment_cost), 0)::numeric, 3) as total_cost,
+                ROUND(COALESCE(SUM(pm.replenishment_retail), 0)::numeric, 3) as total_retail
+            FROM product_metrics pm
+            WHERE pm.is_replenishable = true
+                AND (pm.status IN ('Critical', 'Reorder')
+                    OR pm.current_stock < 0)
+                AND pm.replenishment_units > 0
         `);
 
         // Get top variants to replenish
         const { rows: variants } = await executeQuery(`
             SELECT 
-                p.pid,
-                p.title,
-                p.stock_quantity::integer as current_stock,
-                CASE 
-                    WHEN p.stock_quantity < 0 THEN ABS(p.stock_quantity) + pm.reorder_qty
-                    ELSE pm.reorder_qty 
-                END::integer as replenish_qty,
-                ROUND(CASE 
-                    WHEN p.stock_quantity < 0 THEN (ABS(p.stock_quantity) + pm.reorder_qty) * p.cost_price
-                    ELSE pm.reorder_qty * p.cost_price 
-                END::numeric, 3) as replenish_cost,
-                ROUND(CASE 
-                    WHEN p.stock_quantity < 0 THEN (ABS(p.stock_quantity) + pm.reorder_qty) * p.price
-                    ELSE pm.reorder_qty * p.price 
-                END::numeric, 3) as replenish_retail,
-                pm.stock_status
-            FROM products p
-            JOIN product_metrics pm ON p.pid = pm.pid
-            WHERE p.replenishable = true
-                AND (pm.stock_status IN ('Critical', 'Reorder')
-                    OR p.stock_quantity < 0)
-                AND pm.reorder_qty > 0
+                pm.pid,
+                pm.title,
+                pm.current_stock::integer as current_stock,
+                pm.replenishment_units::integer as replenish_qty,
+                ROUND(pm.replenishment_cost::numeric, 3) as replenish_cost,
+                ROUND(pm.replenishment_retail::numeric, 3) as replenish_retail,
+                pm.status,
+                pm.planning_period_days::text as planning_period
+            FROM product_metrics pm
+            WHERE pm.is_replenishable = true
+                AND (pm.status IN ('Critical', 'Reorder')
+                    OR pm.current_stock < 0)
+                AND pm.replenishment_units > 0
             ORDER BY 
-                CASE pm.stock_status 
+                CASE pm.status 
                     WHEN 'Critical' THEN 1 
                     WHEN 'Reorder' THEN 2 
                 END,
@@ -265,7 +266,7 @@ router.get('/replenishment/metrics', async (req, res) => {
 
         // If no data, provide dummy data
         if (!metrics || variants.length === 0) {
-            console.log('No replenishment metrics found, returning dummy data');
+            console.log('No replenishment metrics found in new schema, returning dummy data');
             
             return res.json({
                 productsToReplenish: 15,
@@ -273,11 +274,11 @@ router.get('/replenishment/metrics', async (req, res) => {
                 replenishmentCost: 15000.00,
                 replenishmentRetail: 30000.00,
                 topVariants: [
-                    { id: 1, title: "Test Product 1", currentStock: 5, replenishQty: 20, replenishCost: 500, replenishRetail: 1000, status: "Critical" },
-                    { id: 2, title: "Test Product 2", currentStock: 10, replenishQty: 15, replenishCost: 450, replenishRetail: 900, status: "Critical" },
-                    { id: 3, title: "Test Product 3", currentStock: 15, replenishQty: 10, replenishCost: 300, replenishRetail: 600, status: "Reorder" },
-                    { id: 4, title: "Test Product 4", currentStock: 20, replenishQty: 20, replenishCost: 200, replenishRetail: 400, status: "Reorder" },
-                    { id: 5, title: "Test Product 5", currentStock: 25, replenishQty: 10, replenishCost: 150, replenishRetail: 300, status: "Reorder" }
+                    { id: 1, title: "Test Product 1", currentStock: 5, replenishQty: 20, replenishCost: 500, replenishRetail: 1000, status: "Critical", planningPeriod: "30" },
+                    { id: 2, title: "Test Product 2", currentStock: 10, replenishQty: 15, replenishCost: 450, replenishRetail: 900, status: "Critical", planningPeriod: "30" },
+                    { id: 3, title: "Test Product 3", currentStock: 15, replenishQty: 10, replenishCost: 300, replenishRetail: 600, status: "Reorder", planningPeriod: "30" },
+                    { id: 4, title: "Test Product 4", currentStock: 20, replenishQty: 20, replenishCost: 200, replenishRetail: 400, status: "Reorder", planningPeriod: "30" },
+                    { id: 5, title: "Test Product 5", currentStock: 25, replenishQty: 10, replenishCost: 150, replenishRetail: 300, status: "Reorder", planningPeriod: "30" }
                 ]
             });
         }
@@ -295,7 +296,8 @@ router.get('/replenishment/metrics', async (req, res) => {
                 replenishQty: parseInt(v.replenish_qty) || 0,
                 replenishCost: parseFloat(v.replenish_cost) || 0,
                 replenishRetail: parseFloat(v.replenish_retail) || 0,
-                status: v.stock_status
+                status: v.status,
+                planningPeriod: v.planning_period
             }))
         };
 
@@ -310,11 +312,11 @@ router.get('/replenishment/metrics', async (req, res) => {
             replenishmentCost: 15000.00,
             replenishmentRetail: 30000.00,
             topVariants: [
-                { id: 1, title: "Test Product 1", currentStock: 5, replenishQty: 20, replenishCost: 500, replenishRetail: 1000, status: "Critical" },
-                { id: 2, title: "Test Product 2", currentStock: 10, replenishQty: 15, replenishCost: 450, replenishRetail: 900, status: "Critical" },
-                { id: 3, title: "Test Product 3", currentStock: 15, replenishQty: 10, replenishCost: 300, replenishRetail: 600, status: "Reorder" },
-                { id: 4, title: "Test Product 4", currentStock: 20, replenishQty: 20, replenishCost: 200, replenishRetail: 400, status: "Reorder" },
-                { id: 5, title: "Test Product 5", currentStock: 25, replenishQty: 10, replenishCost: 150, replenishRetail: 300, status: "Reorder" }
+                { id: 1, title: "Test Product 1", currentStock: 5, replenishQty: 20, replenishCost: 500, replenishRetail: 1000, status: "Critical", planningPeriod: "30" },
+                { id: 2, title: "Test Product 2", currentStock: 10, replenishQty: 15, replenishCost: 450, replenishRetail: 900, status: "Critical", planningPeriod: "30" },
+                { id: 3, title: "Test Product 3", currentStock: 15, replenishQty: 10, replenishCost: 300, replenishRetail: 600, status: "Reorder", planningPeriod: "30" },
+                { id: 4, title: "Test Product 4", currentStock: 20, replenishQty: 20, replenishCost: 200, replenishRetail: 400, status: "Reorder", planningPeriod: "30" },
+                { id: 5, title: "Test Product 5", currentStock: 25, replenishQty: 10, replenishCost: 150, replenishRetail: 300, status: "Reorder", planningPeriod: "30" }
             ]
         });
     }
@@ -484,74 +486,15 @@ router.get('/forecast/metrics', async (req, res) => {
 // Returns overstock metrics by category
 router.get('/overstock/metrics', async (req, res) => {
     try {
-        const { rows } = await executeQuery(`
-            WITH category_overstock AS (
-                SELECT 
-                    c.cat_id,
-                    c.name as category_name,
-                    COUNT(DISTINCT CASE 
-                        WHEN pm.stock_status = 'Overstocked' 
-                        THEN p.pid 
-                        END) as overstocked_products,
-                    SUM(CASE 
-                        WHEN pm.stock_status = 'Overstocked' 
-                        THEN pm.overstocked_amt 
-                        ELSE 0 
-                        END) as total_excess_units,
-                    SUM(CASE 
-                        WHEN pm.stock_status = 'Overstocked' 
-                        THEN pm.overstocked_amt * p.cost_price 
-                        ELSE 0 
-                        END) as total_excess_cost,
-                    SUM(CASE 
-                        WHEN pm.stock_status = 'Overstocked' 
-                        THEN pm.overstocked_amt * p.price 
-                        ELSE 0 
-                        END) as total_excess_retail
-                FROM categories c
-                JOIN product_categories pc ON c.cat_id = pc.cat_id
-                JOIN products p ON pc.pid = p.pid
-                JOIN product_metrics pm ON p.pid = pm.pid
-                GROUP BY c.cat_id, c.name
-            ),
-            filtered_categories AS (
-                SELECT *
-                FROM category_overstock
-                WHERE overstocked_products > 0
-                ORDER BY total_excess_cost DESC
-                LIMIT 8
-            ),
-            summary AS (
-                SELECT 
-                    SUM(overstocked_products) as total_overstocked,
-                    SUM(total_excess_units) as total_excess_units,
-                    SUM(total_excess_cost) as total_excess_cost,
-                    SUM(total_excess_retail) as total_excess_retail
-                FROM filtered_categories
-            )
-            SELECT
-                s.total_overstocked,
-                s.total_excess_units,
-                s.total_excess_cost,
-                s.total_excess_retail,
-                json_agg(
-                    json_build_object(
-                        'category', fc.category_name,
-                        'products', fc.overstocked_products,
-                        'units', fc.total_excess_units,
-                        'cost', fc.total_excess_cost,
-                        'retail', fc.total_excess_retail
-                    )
-                ) as category_data
-            FROM summary s, filtered_categories fc
-            GROUP BY 
-                s.total_overstocked, 
-                s.total_excess_units, 
-                s.total_excess_cost, 
-                s.total_excess_retail
+        // Check if we have any products with Overstock status
+        const { rows: [countCheck] } = await executeQuery(`
+            SELECT COUNT(*) as overstock_count FROM product_metrics WHERE status = 'Overstock'
         `);
         
-        if (rows.length === 0) {
+        console.log('Overstock count:', countCheck.overstock_count);
+        
+        // If no overstock products, return empty metrics
+        if (parseInt(countCheck.overstock_count) === 0) {
             return res.json({
                 overstockedProducts: 0,
                 total_excess_units: 0,
@@ -561,30 +504,50 @@ router.get('/overstock/metrics', async (req, res) => {
             });
         }
         
-        // Generate dummy data if the query returned empty results
-        if (rows[0].total_overstocked === null || rows[0].total_excess_units === null) {
-            console.log('Empty overstock metrics results, returning dummy data');
-            return res.json({
-                overstockedProducts: 10,
-                total_excess_units: 500,
-                total_excess_cost: 5000,
-                total_excess_retail: 10000,
-                category_data: [
-                    { category: "Electronics", products: 3, units: 150, cost: 1500, retail: 3000 },
-                    { category: "Clothing", products: 4, units: 200, cost: 2000, retail: 4000 },
-                    { category: "Home Goods", products: 2, units: 100, cost: 1000, retail: 2000 },
-                    { category: "Office Supplies", products: 1, units: 50, cost: 500, retail: 1000 }
-                ]
-            });
-        }
+        // Get summary metrics in a simpler, more direct query
+        const { rows: [summaryMetrics] } = await executeQuery(`
+            SELECT 
+                COUNT(DISTINCT pid)::integer as total_overstocked,
+                SUM(overstocked_units)::integer as total_excess_units,
+                ROUND(SUM(overstocked_cost)::numeric, 3) as total_excess_cost,
+                ROUND(SUM(overstocked_retail)::numeric, 3) as total_excess_retail
+            FROM product_metrics 
+            WHERE status = 'Overstock'
+        `);
+        
+        // Get category breakdowns separately
+        const { rows: categoryData } = await executeQuery(`
+            SELECT 
+                c.name as category_name,
+                COUNT(DISTINCT pm.pid)::integer as overstocked_products,
+                SUM(pm.overstocked_units)::integer as total_excess_units,
+                ROUND(SUM(pm.overstocked_cost)::numeric, 3) as total_excess_cost,
+                ROUND(SUM(pm.overstocked_retail)::numeric, 3) as total_excess_retail
+            FROM categories c
+            JOIN product_categories pc ON c.cat_id = pc.cat_id
+            JOIN product_metrics pm ON pc.pid = pm.pid
+            WHERE pm.status = 'Overstock'
+            GROUP BY c.name
+            ORDER BY total_excess_cost DESC
+            LIMIT 8
+        `);
+
+        console.log('Summary metrics:', summaryMetrics);
+        console.log('Category data count:', categoryData.length);
 
         // Format response with explicit type conversion
         const response = {
-            overstockedProducts: parseInt(rows[0].total_overstocked) || 0,
-            total_excess_units: parseInt(rows[0].total_excess_units) || 0,
-            total_excess_cost: parseFloat(rows[0].total_excess_cost) || 0,
-            total_excess_retail: parseFloat(rows[0].total_excess_retail) || 0,
-            category_data: rows[0].category_data || []
+            overstockedProducts: parseInt(summaryMetrics.total_overstocked) || 0,
+            total_excess_units: parseInt(summaryMetrics.total_excess_units) || 0,
+            total_excess_cost: parseFloat(summaryMetrics.total_excess_cost) || 0,
+            total_excess_retail: parseFloat(summaryMetrics.total_excess_retail) || 0,
+            category_data: categoryData.map(cat => ({
+                category: cat.category_name,
+                products: parseInt(cat.overstocked_products) || 0,
+                units: parseInt(cat.total_excess_units) || 0,
+                cost: parseFloat(cat.total_excess_cost) || 0,
+                retail: parseFloat(cat.total_excess_retail) || 0
+            }))
         };
 
         res.json(response);
@@ -614,27 +577,26 @@ router.get('/overstock/products', async (req, res) => {
     try {
         const { rows } = await executeQuery(`
             SELECT 
-                p.pid,
-                p.SKU,
-                p.title,
-                p.brand,
-                p.vendor,
-                p.stock_quantity,
-                p.cost_price,
-                p.price,
-                pm.daily_sales_avg,
-                pm.days_of_inventory,
-                pm.overstocked_amt,
-                (pm.overstocked_amt * p.cost_price) as excess_cost,
-                (pm.overstocked_amt * p.price) as excess_retail,
+                pm.pid,
+                pm.sku AS SKU,
+                pm.title,
+                pm.brand,
+                pm.vendor,
+                pm.current_stock as stock_quantity,
+                pm.current_cost_price as cost_price,
+                pm.current_price as price,
+                pm.sales_velocity_daily as daily_sales_avg,
+                pm.stock_cover_in_days as days_of_inventory,
+                pm.overstocked_units,
+                pm.overstocked_cost as excess_cost,
+                pm.overstocked_retail as excess_retail,
                 STRING_AGG(c.name, ', ') as categories
-            FROM products p
-            JOIN product_metrics pm ON p.pid = pm.pid
-            LEFT JOIN product_categories pc ON p.pid = pc.pid
+            FROM product_metrics pm
+            LEFT JOIN product_categories pc ON pm.pid = pc.pid
             LEFT JOIN categories c ON pc.cat_id = c.cat_id
-            WHERE pm.stock_status = 'Overstocked'
-            GROUP BY p.pid, p.SKU, p.title, p.brand, p.vendor, p.stock_quantity, p.cost_price, p.price, 
-                    pm.daily_sales_avg, pm.days_of_inventory, pm.overstocked_amt
+            WHERE pm.status = 'Overstock'
+            GROUP BY pm.pid, pm.sku, pm.title, pm.brand, pm.vendor, pm.current_stock, pm.current_cost_price, pm.current_price, 
+                    pm.sales_velocity_daily, pm.stock_cover_in_days, pm.overstocked_units, pm.overstocked_cost, pm.overstocked_retail
             ORDER BY excess_cost DESC
             LIMIT $1
         `, [limit]);
@@ -812,42 +774,38 @@ router.get('/sales/metrics', async (req, res) => {
     const endDate = req.query.endDate || today.toISOString();
     
     try {
-        // Get daily sales data
+        // Get daily orders and totals for the specified period
         const { rows: dailyRows } = await executeQuery(`
             SELECT 
-                DATE(o.date) as sale_date,
-                COUNT(DISTINCT o.order_number) as total_orders,
-                SUM(o.quantity) as total_units,
-                SUM(o.price * o.quantity) as total_revenue,
-                SUM(p.cost_price * o.quantity) as total_cogs,
-                SUM((o.price - p.cost_price) * o.quantity) as total_profit
-            FROM orders o
-            JOIN products p ON o.pid = p.pid
-            WHERE o.canceled = false
-                AND o.date BETWEEN $1 AND $2
-            GROUP BY DATE(o.date)
+                DATE(date) as sale_date,
+                COUNT(DISTINCT order_number) as total_orders,
+                SUM(quantity) as total_units,
+                SUM(price * quantity) as total_revenue,
+                SUM(costeach * quantity) as total_cogs
+            FROM orders
+            WHERE date BETWEEN $1 AND $2
+                AND canceled = false
+            GROUP BY DATE(date)
             ORDER BY sale_date
         `, [startDate, endDate]);
 
-        // Get summary metrics
-        const { rows: metrics } = await executeQuery(`
+        // Get overall metrics for the period
+        const { rows: [metrics] } = await executeQuery(`
             SELECT 
-                COUNT(DISTINCT o.order_number) as total_orders,
-                SUM(o.quantity) as total_units,
-                SUM(o.price * o.quantity) as total_revenue,
-                SUM(p.cost_price * o.quantity) as total_cogs,
-                SUM((o.price - p.cost_price) * o.quantity) as total_profit
-            FROM orders o
-            JOIN products p ON o.pid = p.pid
-            WHERE o.canceled = false
-                AND o.date BETWEEN $1 AND $2
+                COUNT(DISTINCT order_number) as total_orders,
+                SUM(quantity) as total_units,
+                SUM(price * quantity) as total_revenue,
+                SUM(costeach * quantity) as total_cogs
+            FROM orders
+            WHERE date BETWEEN $1 AND $2
+                AND canceled = false
         `, [startDate, endDate]);
 
         const response = {
-            totalOrders: parseInt(metrics[0]?.total_orders) || 0,
-            totalUnitsSold: parseInt(metrics[0]?.total_units) || 0,
-            totalCogs: parseFloat(metrics[0]?.total_cogs) || 0,
-            totalRevenue: parseFloat(metrics[0]?.total_revenue) || 0,
+            totalOrders: parseInt(metrics?.total_orders) || 0,
+            totalUnitsSold: parseInt(metrics?.total_units) || 0,
+            totalCogs: parseFloat(metrics?.total_cogs) || 0,
+            totalRevenue: parseFloat(metrics?.total_revenue) || 0,
             dailySales: dailyRows.map(day => ({
                 date: day.sale_date,
                 units: parseInt(day.total_units) || 0,
@@ -1018,17 +976,17 @@ router.get('/vendor/performance', async (req, res) => {
                         THEN EXTRACT(EPOCH FROM (po.received_date - po.date))/86400
                         ELSE NULL END)::numeric, 2), 0) as avg_lead_time,
                     COALESCE(ROUND(SUM(CASE 
-                        WHEN po.status = 'completed' AND po.received_date <= po.expected_date 
+                        WHEN po.status = 'done' AND po.received_date <= po.expected_date 
                         THEN 1 
                         ELSE 0 
                         END)::numeric * 100.0 / NULLIF(COUNT(*)::numeric, 0), 2), 0) as on_time_delivery_rate,
                     COALESCE(ROUND(AVG(CASE 
-                        WHEN po.status = 'completed' 
+                        WHEN po.status = 'done' 
                         THEN po.received::numeric / NULLIF(po.ordered::numeric, 0) * 100 
                         ELSE NULL 
                         END)::numeric, 2), 0) as avg_fill_rate,
-                    COUNT(CASE WHEN po.status = 'open' THEN 1 END)::integer as active_orders,
-                    COUNT(CASE WHEN po.status = 'open' AND po.expected_date < CURRENT_DATE THEN 1 END)::integer as overdue_orders
+                    COUNT(CASE WHEN po.status IN ('created', 'electronically_ready_send', 'ordered', 'preordered', 'electronically_sent', 'receiving_started') THEN 1 END)::integer as active_orders,
+                    COUNT(CASE WHEN po.status IN ('created', 'electronically_ready_send', 'ordered', 'preordered', 'electronically_sent', 'receiving_started') AND po.expected_date < CURRENT_DATE THEN 1 END)::integer as overdue_orders
                 FROM purchase_orders po
                 WHERE po.date >= CURRENT_DATE - INTERVAL '180 days'
                 GROUP BY po.vendor
@@ -1165,7 +1123,7 @@ router.get('/key-metrics', async (req, res) => {
                 SELECT
                     COUNT(DISTINCT po_id) as total_pos,
                     SUM(ordered * cost_price) as total_po_value,
-                    COUNT(CASE WHEN status = 'open' THEN 1 END) as open_pos
+                    COUNT(CASE WHEN status IN ('created', 'electronically_ready_send', 'ordered', 'preordered', 'electronically_sent', 'receiving_started') THEN 1 END) as open_pos
                 FROM purchase_orders
                 WHERE order_date >= CURRENT_DATE - INTERVAL '${days} days'
             )
@@ -1289,39 +1247,33 @@ router.get('/inventory-health', async (req, res) => {
 });
 
 // GET /dashboard/replenish/products
-// Returns top products that need replenishment
+// Returns list of products to replenish
 router.get('/replenish/products', async (req, res) => {
-    const limit = Math.max(1, Math.min(100, parseInt(req.query.limit) || 50));
+    const limit = parseInt(req.query.limit) || 50;
     try {
-        const { rows: products } = await executeQuery(`
+        const { rows } = await executeQuery(`
             SELECT 
-                p.pid,
-                p.SKU as sku,
-                p.title,
-                p.stock_quantity,
-                pm.daily_sales_avg,
-                pm.reorder_qty,
-                pm.last_purchase_date
-            FROM products p
-            JOIN product_metrics pm ON p.pid = pm.pid
-            WHERE p.replenishable = true
-                AND pm.stock_status IN ('Critical', 'Reorder')
-                AND pm.reorder_qty > 0
+                pm.pid,
+                pm.sku,
+                pm.title,
+                pm.current_stock AS stock_quantity,
+                pm.sales_velocity_daily AS daily_sales_avg,
+                pm.replenishment_units AS reorder_qty,
+                pm.date_last_received AS last_purchase_date
+            FROM product_metrics pm
+            WHERE pm.is_replenishable = true
+                AND (pm.status IN ('Critical', 'Reorder')
+                    OR pm.current_stock < 0)
+                AND pm.replenishment_units > 0
             ORDER BY 
-                CASE pm.stock_status 
+                CASE pm.status 
                     WHEN 'Critical' THEN 1 
                     WHEN 'Reorder' THEN 2 
                 END,
-                pm.reorder_qty * p.cost_price DESC
+                pm.replenishment_cost DESC
             LIMIT $1
         `, [limit]);
-
-        res.json(products.map(p => ({
-            ...p,
-            stock_quantity: parseInt(p.stock_quantity) || 0,
-            daily_sales_avg: parseFloat(p.daily_sales_avg) || 0,
-            reorder_qty: parseInt(p.reorder_qty) || 0
-        })));
+        res.json(rows);
     } catch (err) {
         console.error('Error fetching products to replenish:', err);
         res.status(500).json({ error: 'Failed to fetch products to replenish' });

inventory-server/src/routes/data-management.js

@@ -0,0 +1,440 @@
+const express = require('express');
+const router = express.Router();
+const { spawn } = require('child_process');
+const path = require('path');
+const db = require('../utils/db');
+
+// Debug middleware MUST be first
+router.use((req, res, next) => {
+    console.log(`[CSV Route Debug] ${req.method} ${req.path}`);
+    next();
+});
+
+// Store active processes and their progress
+let activeImport = null;
+let importProgress = null;
+let activeFullUpdate = null;
+let activeFullReset = null;
+
+// SSE clients for progress updates
+const updateClients = new Set();
+const importClients = new Set();
+const resetClients = new Set();
+const resetMetricsClients = new Set();
+const calculateMetricsClients = new Set();
+const fullUpdateClients = new Set();
+const fullResetClients = new Set();
+
+// Helper to send progress to specific clients
+function sendProgressToClients(clients, data) {
+    // If data is a string, send it directly
+    // If it's an object, convert it to JSON
+    const message = typeof data === 'string' 
+        ? `data: ${data}\n\n`
+        : `data: ${JSON.stringify(data)}\n\n`;
+    
+    clients.forEach(client => {
+        try {
+            client.write(message);
+            // Immediately flush the response
+            if (typeof client.flush === 'function') {
+                client.flush();
+            }
+        } catch (error) {
+            // Silently remove failed client
+            clients.delete(client);
+        }
+    });
+}
+
+// Helper to run a script and stream progress
+function runScript(scriptPath, type, clients) {
+    return new Promise((resolve, reject) => {
+        // Kill any existing process of this type
+        let activeProcess;
+        switch (type) {
+            case 'update':
+                if (activeFullUpdate) {
+                    try { activeFullUpdate.kill(); } catch (e) { }
+                }
+                activeProcess = activeFullUpdate;
+                break;
+            case 'reset':
+                if (activeFullReset) {
+                    try { activeFullReset.kill(); } catch (e) { }
+                }
+                activeProcess = activeFullReset;
+                break;
+        }
+
+        const child = spawn('node', [scriptPath], {
+            stdio: ['inherit', 'pipe', 'pipe']
+        });
+
+        switch (type) {
+            case 'update':
+                activeFullUpdate = child;
+                break;
+            case 'reset':
+                activeFullReset = child;
+                break;
+        }
+
+        let output = '';
+
+        child.stdout.on('data', (data) => {
+            const text = data.toString();
+            output += text;
+            
+            // Split by lines to handle multiple JSON outputs
+            const lines = text.split('\n');
+            lines.filter(line => line.trim()).forEach(line => {
+                try {
+                    // Try to parse as JSON but don't let it affect the display
+                    const jsonData = JSON.parse(line);
+                    // Only end the process if we get a final status
+                    if (jsonData.status === 'complete' || jsonData.status === 'error' || jsonData.status === 'cancelled') {
+                        if (jsonData.status === 'complete' && !jsonData.operation?.includes('complete')) {
+                            // Don't close for intermediate completion messages
+                            sendProgressToClients(clients, line);
+                            return;
+                        }
+                        // Close only on final completion/error/cancellation
+                        switch (type) {
+                            case 'update':
+                                activeFullUpdate = null;
+                                break;
+                            case 'reset':
+                                activeFullReset = null;
+                                break;
+                        }
+                        if (jsonData.status === 'error') {
+                            reject(new Error(jsonData.error || 'Unknown error'));
+                        } else {
+                            resolve({ output });
+                        }
+                    }
+                } catch (e) {
+                    // Not JSON, just display as is
+                }
+                // Always send the raw line
+                sendProgressToClients(clients, line);
+            });
+        });
+
+        child.stderr.on('data', (data) => {
+            const text = data.toString();
+            console.error(text);
+            // Send stderr output directly too
+            sendProgressToClients(clients, text);
+        });
+
+        child.on('close', (code) => {
+            switch (type) {
+                case 'update':
+                    activeFullUpdate = null;
+                    break;
+                case 'reset':
+                    activeFullReset = null;
+                    break;
+            }
+
+            if (code !== 0) {
+                const error = `Script ${scriptPath} exited with code ${code}`;
+                sendProgressToClients(clients, error);
+                reject(new Error(error));
+            }
+            // Don't resolve here - let the completion message from the script trigger the resolve
+        });
+
+        child.on('error', (err) => {
+            switch (type) {
+                case 'update':
+                    activeFullUpdate = null;
+                    break;
+                case 'reset':
+                    activeFullReset = null;
+                    break;
+            }
+            sendProgressToClients(clients, err.message);
+            reject(err);
+        });
+    });
+}
+
+// Progress endpoints
+router.get('/:type/progress', (req, res) => {
+    const { type } = req.params;
+    if (!['update', 'reset'].includes(type)) {
+        return res.status(400).json({ error: 'Invalid operation type' });
+    }
+
+    res.writeHead(200, {
+        'Content-Type': 'text/event-stream',
+        'Cache-Control': 'no-cache',
+        'Connection': 'keep-alive',
+        'Access-Control-Allow-Origin': req.headers.origin || '*',
+        'Access-Control-Allow-Credentials': 'true'
+    });
+
+    // Add this client to the correct set
+    const clients = type === 'update' ? fullUpdateClients : fullResetClients;
+    clients.add(res);
+
+    // Send initial connection message
+    sendProgressToClients(new Set([res]), JSON.stringify({
+        status: 'running',
+        operation: 'Initializing connection...'
+    }));
+
+    // Handle client disconnect
+    req.on('close', () => {
+        clients.delete(res);
+    });
+});
+
+// GET /status - Check for active processes
+router.get('/status', (req, res) => {
+    try {
+        const hasActiveUpdate = activeFullUpdate !== null;
+        const hasActiveReset = activeFullReset !== null;
+        
+        if (hasActiveUpdate || hasActiveReset) {
+            res.json({
+                active: true,
+                progress: {
+                    status: 'running',
+                    operation: hasActiveUpdate ? 'Full update in progress' : 'Full reset in progress',
+                    type: hasActiveUpdate ? 'update' : 'reset'
+                }
+            });
+        } else {
+            res.json({
+                active: false,
+                progress: null
+            });
+        }
+    } catch (error) {
+        console.error('Error checking status:', error);
+        res.status(500).json({ error: error.message });
+    }
+});
+
+// Route to cancel active process
+router.post('/cancel', (req, res) => {
+    let killed = false;
+
+    // Get the operation type from the request
+    const { type } = req.query;
+    const clients = type === 'update' ? fullUpdateClients : fullResetClients;
+    const activeProcess = type === 'update' ? activeFullUpdate : activeFullReset;
+
+    if (activeProcess) {
+        try {
+            activeProcess.kill('SIGTERM');
+            if (type === 'update') {
+                activeFullUpdate = null;
+            } else {
+                activeFullReset = null;
+            }
+            killed = true;
+            sendProgressToClients(clients, JSON.stringify({
+                status: 'cancelled',
+                operation: 'Operation cancelled'
+            }));
+        } catch (err) {
+            console.error(`Error killing ${type} process:`, err);
+        }
+    }
+
+    if (killed) {
+        res.json({ success: true });
+    } else {
+        res.status(404).json({ error: 'No active process to cancel' });
+    }
+});
+
+// POST /csv/full-update - Run full update script
+router.post('/full-update', async (req, res) => {
+    try {
+        const scriptPath = path.join(__dirname, '../../scripts/full-update.js');
+        runScript(scriptPath, 'update', fullUpdateClients)
+            .catch(error => {
+                console.error('Update failed:', error);
+            });
+        res.status(202).json({ message: 'Update started' });
+    } catch (error) {
+        res.status(500).json({ error: error.message });
+    }
+});
+
+// POST /csv/full-reset - Run full reset script
+router.post('/full-reset', async (req, res) => {
+    try {
+        const scriptPath = path.join(__dirname, '../../scripts/full-reset.js');
+        runScript(scriptPath, 'reset', fullResetClients)
+            .catch(error => {
+                console.error('Reset failed:', error);
+            });
+        res.status(202).json({ message: 'Reset started' });
+    } catch (error) {
+        res.status(500).json({ error: error.message });
+    }
+});
+
+// GET /history/import - Get recent import history
+router.get('/history/import', async (req, res) => {
+    try {
+        const pool = req.app.locals.pool;
+        
+        // First check which columns exist
+        const { rows: columns } = await pool.query(`
+            SELECT column_name 
+            FROM information_schema.columns 
+            WHERE table_name = 'import_history' 
+            AND column_name IN ('records_deleted', 'records_skipped', 'total_processed')
+        `);
+        
+        const hasDeletedColumn = columns.some(col => col.column_name === 'records_deleted');
+        const hasSkippedColumn = columns.some(col => col.column_name === 'records_skipped');
+        const hasTotalProcessedColumn = columns.some(col => col.column_name === 'total_processed');
+        
+        // Build query dynamically based on available columns
+        const query = `
+            SELECT 
+                id,
+                start_time,
+                end_time,
+                status,
+                error_message,
+                records_added::integer,
+                records_updated::integer,
+                ${hasDeletedColumn ? 'records_deleted::integer,' : '0 as records_deleted,'}
+                ${hasSkippedColumn ? 'records_skipped::integer,' : '0 as records_skipped,'}
+                ${hasTotalProcessedColumn ? 'total_processed::integer,' : '0 as total_processed,'}
+                is_incremental,
+                additional_info,
+                EXTRACT(EPOCH FROM (COALESCE(end_time, NOW()) - start_time)) / 60 as duration_minutes
+            FROM import_history 
+            ORDER BY start_time DESC 
+            LIMIT 20
+        `;
+        
+        const { rows } = await pool.query(query);
+        res.json(rows || []);
+    } catch (error) {
+        console.error('Error fetching import history:', error);
+        res.status(500).json({ error: error.message });
+    }
+});
+
+// GET /history/calculate - Get recent calculation history
+router.get('/history/calculate', async (req, res) => {
+    try {
+        const pool = req.app.locals.pool;
+        const { rows } = await pool.query(`
+            SELECT 
+                id,
+                start_time,
+                end_time,
+                EXTRACT(EPOCH FROM (COALESCE(end_time, NOW()) - start_time)) / 60 as duration_minutes,
+                duration_seconds,
+                status,
+                error_message,
+                total_products,
+                total_orders,
+                total_purchase_orders,
+                processed_products,
+                processed_orders,
+                processed_purchase_orders,
+                additional_info
+            FROM calculate_history 
+            ORDER BY start_time DESC 
+            LIMIT 20
+        `);
+        res.json(rows || []);
+    } catch (error) {
+        console.error('Error fetching calculate history:', error);
+        res.status(500).json({ error: error.message });
+    }
+});
+
+// GET /status/modules - Get module calculation status
+router.get('/status/modules', async (req, res) => {
+    try {
+        const pool = req.app.locals.pool;
+        const { rows } = await pool.query(`
+            SELECT 
+                module_name, 
+                last_calculation_timestamp::timestamp 
+            FROM calculate_status 
+            ORDER BY module_name
+        `);
+        res.json(rows || []);
+    } catch (error) {
+        console.error('Error fetching module status:', error);
+        res.status(500).json({ error: error.message });
+    }
+});
+
+// GET /status/tables - Get table sync status
+router.get('/status/tables', async (req, res) => {
+    try {
+        const pool = req.app.locals.pool;
+        const { rows } = await pool.query(`
+            SELECT 
+                table_name, 
+                last_sync_timestamp::timestamp 
+            FROM sync_status 
+            ORDER BY table_name
+        `);
+        res.json(rows || []);
+    } catch (error) {
+        console.error('Error fetching table status:', error);
+        res.status(500).json({ error: error.message });
+    }
+});
+
+// GET /status/table-counts - Get record counts for all tables
+router.get('/status/table-counts', async (req, res) => {
+    try {
+        const pool = req.app.locals.pool;
+        const tables = [
+            // Core tables
+            'products', 'categories', 'product_categories', 'orders', 'purchase_orders', 'receivings',
+            // New metrics tables
+            'product_metrics', 'daily_product_snapshots','brand_metrics','category_metrics','vendor_metrics',
+            // Config tables
+            'settings_global', 'settings_vendor', 'settings_product'
+        ];
+
+        const counts = await Promise.all(
+            tables.map(table => 
+                pool.query(`SELECT COUNT(*) as count FROM ${table}`)
+                    .then(result => ({
+                        table_name: table,
+                        count: parseInt(result.rows[0].count)
+                    }))
+                    .catch(err => ({
+                        table_name: table,
+                        count: null,
+                        error: err.message
+                    }))
+            )
+        );
+
+        // Group tables by type
+        const groupedCounts = {
+            core: counts.filter(c => ['products', 'categories', 'product_categories', 'orders', 'purchase_orders', 'receivings'].includes(c.table_name)),
+            metrics: counts.filter(c => ['product_metrics', 'daily_product_snapshots','brand_metrics','category_metrics','vendor_metrics'].includes(c.table_name)),
+            config: counts.filter(c => ['settings_global', 'settings_vendor', 'settings_product'].includes(c.table_name))
+        };
+
+        res.json(groupedCounts);
+    } catch (error) {
+        console.error('Error fetching table counts:', error);
+        res.status(500).json({ error: error.message });
+    }
+});
+
+module.exports = router; 

inventory-server/src/routes/import.js

@@ -8,7 +8,9 @@ const fs = require('fs');
 
 // Create uploads directory if it doesn't exist
 const uploadsDir = path.join('/var/www/html/inventory/uploads/products');
+const reusableUploadsDir = path.join('/var/www/html/inventory/uploads/reusable');
 fs.mkdirSync(uploadsDir, { recursive: true });
+fs.mkdirSync(reusableUploadsDir, { recursive: true });
 
 // Create a Map to track image upload times and their scheduled deletion
 const imageUploadMap = new Map();
@@ -35,6 +37,12 @@ const connectionCache = {
 
 // Function to schedule image deletion after 24 hours
 const scheduleImageDeletion = (filename, filePath) => {
+  // Only schedule deletion for images in the products folder
+  if (!filePath.includes('/uploads/products/')) {
+    console.log(`Skipping deletion for non-product image: ${filename}`);
+    return;
+  }
+
   // Delete any existing timeout for this file
   if (imageUploadMap.has(filename)) {
     clearTimeout(imageUploadMap.get(filename).timeoutId);
@@ -407,6 +415,14 @@ router.delete('/delete-image', (req, res) => {
       return res.status(404).json({ error: 'File not found' });
     }
     
+    // Only allow deletion of images in the products folder
+    if (!filePath.includes('/uploads/products/')) {
+      return res.status(403).json({ 
+        error: 'Cannot delete images outside the products folder',
+        message: 'This image is in a protected folder and cannot be deleted through this endpoint'
+      });
+    }
+    
     // Delete the file
     fs.unlinkSync(filePath);
     
@@ -641,11 +657,19 @@ router.get('/check-file/:filename', (req, res) => {
     return res.status(400).json({ error: 'Invalid filename' });
   }
   
-  const filePath = path.join(uploadsDir, filename);
+  // First check in products directory
+  let filePath = path.join(uploadsDir, filename);
+  let exists = fs.existsSync(filePath);
+  
+  // If not found in products, check in reusable directory
+  if (!exists) {
+    filePath = path.join(reusableUploadsDir, filename);
+    exists = fs.existsSync(filePath);
+  }
   
   try {
     // Check if file exists
-    if (!fs.existsSync(filePath)) {
+    if (!exists) {
       return res.status(404).json({ 
         error: 'File not found', 
         path: filePath,
@@ -685,13 +709,23 @@ router.get('/check-file/:filename', (req, res) => {
 // List all files in uploads directory
 router.get('/list-uploads', (req, res) => {
   try {
-    if (!fs.existsSync(uploadsDir)) {
-      return res.status(404).json({ error: 'Uploads directory not found', path: uploadsDir });
+    const { directory = 'products' } = req.query;
+    
+    // Determine which directory to list
+    let targetDir;
+    if (directory === 'reusable') {
+      targetDir = reusableUploadsDir;
+    } else {
+      targetDir = uploadsDir; // default to products
     }
     
-    const files = fs.readdirSync(uploadsDir);
+    if (!fs.existsSync(targetDir)) {
+      return res.status(404).json({ error: 'Uploads directory not found', path: targetDir });
+    }
+    
+    const files = fs.readdirSync(targetDir);
     const fileDetails = files.map(file => {
-      const filePath = path.join(uploadsDir, file);
+      const filePath = path.join(targetDir, file);
       try {
         const stats = fs.statSync(filePath);
         return {
@@ -709,12 +743,13 @@ router.get('/list-uploads', (req, res) => {
     });
     
     return res.json({
-      directory: uploadsDir,
+      directory: targetDir,
+      type: directory,
       count: files.length,
       files: fileDetails
     });
   } catch (error) {
-    return res.status(500).json({ error: error.message, path: uploadsDir });
+    return res.status(500).json({ error: error.message });
   }
 });
 

inventory-server/src/routes/metrics.js

@@ -1,62 +1,590 @@
 const express = require('express');
 const router = express.Router();
+const { Pool } = require('pg'); // Assuming pg driver
 
-// Get key metrics trends (revenue, inventory value, GMROI)
-router.get('/trends', async (req, res) => {
-  const pool = req.app.locals.pool;
-  try {
-    const { rows } = await pool.query(`
-      WITH MonthlyMetrics AS (
-        SELECT 
-          make_date(pta.year, pta.month, 1) as date,
-          ROUND(COALESCE(SUM(pta.total_revenue), 0)::numeric, 3) as revenue,
-          ROUND(COALESCE(SUM(pta.total_cost), 0)::numeric, 3) as cost,
-          ROUND(COALESCE(SUM(pm.inventory_value), 0)::numeric, 3) as inventory_value,
-          CASE 
-            WHEN SUM(pm.inventory_value) > 0 
-            THEN ROUND((SUM(pta.total_revenue - pta.total_cost) / SUM(pm.inventory_value) * 100)::numeric, 3)
-            ELSE 0 
-          END as gmroi
-        FROM product_time_aggregates pta
-        JOIN product_metrics pm ON pta.pid = pm.pid
-        WHERE (pta.year * 100 + pta.month) >= 
-          EXTRACT(YEAR FROM CURRENT_DATE - INTERVAL '12 months')::integer * 100 + 
-          EXTRACT(MONTH FROM CURRENT_DATE - INTERVAL '12 months')::integer
-        GROUP BY pta.year, pta.month
-        ORDER BY date ASC
-      )
-      SELECT 
-        to_char(date, 'Mon YY') as date,
-        revenue,
-        inventory_value,
-        gmroi
-      FROM MonthlyMetrics
-    `);
+// --- Configuration & Helpers ---
 
-    console.log('Raw metrics trends data:', rows);
+const DEFAULT_PAGE_LIMIT = 50;
+const MAX_PAGE_LIMIT = 200; // Prevent excessive data requests
 
-    // Transform the data into the format expected by the frontend
-    const transformedData = {
-      revenue: rows.map(row => ({
-        date: row.date,
-        value: parseFloat(row.revenue)
-      })),
-      inventory_value: rows.map(row => ({
-        date: row.date,
-        value: parseFloat(row.inventory_value)
-      })),
-      gmroi: rows.map(row => ({
-        date: row.date,
-        value: parseFloat(row.gmroi)
-      }))
+// Define direct mapping from frontend column names to database columns
+// This simplifies the code by eliminating conversion logic
+const COLUMN_MAP = {
+    // Product Info
+    pid: 'pm.pid',
+    sku: 'pm.sku',
+    title: 'pm.title',
+    brand: 'pm.brand',
+    vendor: 'pm.vendor',
+    imageUrl: 'pm.image_url',
+    isVisible: 'pm.is_visible',
+    isReplenishable: 'pm.is_replenishable',
+    // Additional Product Fields
+    barcode: 'pm.barcode',
+    harmonizedTariffCode: 'pm.harmonized_tariff_code',
+    vendorReference: 'pm.vendor_reference',
+    notionsReference: 'pm.notions_reference',
+    line: 'pm.line',
+    subline: 'pm.subline',
+    artist: 'pm.artist',
+    moq: 'pm.moq',
+    rating: 'pm.rating',
+    reviews: 'pm.reviews',
+    weight: 'pm.weight',
+    length: 'pm.length',
+    width: 'pm.width',
+    height: 'pm.height',
+    countryOfOrigin: 'pm.country_of_origin',
+    location: 'pm.location',
+    baskets: 'pm.baskets',
+    notifies: 'pm.notifies',
+    preorderCount: 'pm.preorder_count',
+    notionsInvCount: 'pm.notions_inv_count',
+    // Current Status
+    currentPrice: 'pm.current_price',
+    currentRegularPrice: 'pm.current_regular_price',
+    currentCostPrice: 'pm.current_cost_price',
+    currentLandingCostPrice: 'pm.current_landing_cost_price',
+    currentStock: 'pm.current_stock',
+    currentStockCost: 'pm.current_stock_cost',
+    currentStockRetail: 'pm.current_stock_retail',
+    currentStockGross: 'pm.current_stock_gross',
+    onOrderQty: 'pm.on_order_qty',
+    onOrderCost: 'pm.on_order_cost',
+    onOrderRetail: 'pm.on_order_retail',
+    earliestExpectedDate: 'pm.earliest_expected_date',
+    // Historical Dates
+    dateCreated: 'pm.date_created',
+    dateFirstReceived: 'pm.date_first_received',
+    dateLastReceived: 'pm.date_last_received',
+    dateFirstSold: 'pm.date_first_sold',
+    dateLastSold: 'pm.date_last_sold',
+    ageDays: 'pm.age_days',
+    // Rolling Period Metrics
+    sales7d: 'pm.sales_7d', 
+    revenue7d: 'pm.revenue_7d',
+    sales14d: 'pm.sales_14d', 
+    revenue14d: 'pm.revenue_14d',
+    sales30d: 'pm.sales_30d', 
+    revenue30d: 'pm.revenue_30d',
+    cogs30d: 'pm.cogs_30d', 
+    profit30d: 'pm.profit_30d',
+    returnsUnits30d: 'pm.returns_units_30d', 
+    returnsRevenue30d: 'pm.returns_revenue_30d',
+    discounts30d: 'pm.discounts_30d', 
+    grossRevenue30d: 'pm.gross_revenue_30d',
+    grossRegularRevenue30d: 'pm.gross_regular_revenue_30d',
+    stockoutDays30d: 'pm.stockout_days_30d',
+    sales365d: 'pm.sales_365d', 
+    revenue365d: 'pm.revenue_365d',
+    avgStockUnits30d: 'pm.avg_stock_units_30d', 
+    avgStockCost30d: 'pm.avg_stock_cost_30d',
+    avgStockRetail30d: 'pm.avg_stock_retail_30d', 
+    avgStockGross30d: 'pm.avg_stock_gross_30d',
+    receivedQty30d: 'pm.received_qty_30d', 
+    receivedCost30d: 'pm.received_cost_30d',
+    // Lifetime Metrics
+    lifetimeSales: 'pm.lifetime_sales', 
+    lifetimeRevenue: 'pm.lifetime_revenue',
+    // First Period Metrics
+    first7DaysSales: 'pm.first_7_days_sales', 
+    first7DaysRevenue: 'pm.first_7_days_revenue',
+    first30DaysSales: 'pm.first_30_days_sales', 
+    first30DaysRevenue: 'pm.first_30_days_revenue',
+    first60DaysSales: 'pm.first_60_days_sales', 
+    first60DaysRevenue: 'pm.first_60_days_revenue',
+    first90DaysSales: 'pm.first_90_days_sales', 
+    first90DaysRevenue: 'pm.first_90_days_revenue',
+    // Calculated KPIs
+    asp30d: 'pm.asp_30d', 
+    acp30d: 'pm.acp_30d', 
+    avgRos30d: 'pm.avg_ros_30d',
+    avgSalesPerDay30d: 'pm.avg_sales_per_day_30d', 
+    avgSalesPerMonth30d: 'pm.avg_sales_per_month_30d',
+    margin30d: 'pm.margin_30d', 
+    markup30d: 'pm.markup_30d', 
+    gmroi30d: 'pm.gmroi_30d',
+    stockturn30d: 'pm.stockturn_30d', 
+    returnRate30d: 'pm.return_rate_30d',
+    discountRate30d: 'pm.discount_rate_30d', 
+    stockoutRate30d: 'pm.stockout_rate_30d',
+    markdown30d: 'pm.markdown_30d', 
+    markdownRate30d: 'pm.markdown_rate_30d',
+    sellThrough30d: 'pm.sell_through_30d', 
+    avgLeadTimeDays: 'pm.avg_lead_time_days',
+    // Forecasting & Replenishment
+    abcClass: 'pm.abc_class', 
+    salesVelocityDaily: 'pm.sales_velocity_daily',
+    configLeadTime: 'pm.config_lead_time', 
+    configDaysOfStock: 'pm.config_days_of_stock',
+    configSafetyStock: 'pm.config_safety_stock', 
+    planningPeriodDays: 'pm.planning_period_days',
+    leadTimeForecastUnits: 'pm.lead_time_forecast_units', 
+    daysOfStockForecastUnits: 'pm.days_of_stock_forecast_units',
+    planningPeriodForecastUnits: 'pm.planning_period_forecast_units', 
+    leadTimeClosingStock: 'pm.lead_time_closing_stock',
+    daysOfStockClosingStock: 'pm.days_of_stock_closing_stock', 
+    replenishmentNeededRaw: 'pm.replenishment_needed_raw',
+    replenishmentUnits: 'pm.replenishment_units', 
+    replenishmentCost: 'pm.replenishment_cost',
+    replenishmentRetail: 'pm.replenishment_retail', 
+    replenishmentProfit: 'pm.replenishment_profit',
+    toOrderUnits: 'pm.to_order_units', 
+    forecastLostSalesUnits: 'pm.forecast_lost_sales_units',
+    forecastLostRevenue: 'pm.forecast_lost_revenue', 
+    stockCoverInDays: 'pm.stock_cover_in_days',
+    poCoverInDays: 'pm.po_cover_in_days', 
+    sellsOutInDays: 'pm.sells_out_in_days',
+    replenishDate: 'pm.replenish_date', 
+    overstockedUnits: 'pm.overstocked_units',
+    overstockedCost: 'pm.overstocked_cost', 
+    overstockedRetail: 'pm.overstocked_retail',
+    isOldStock: 'pm.is_old_stock',
+    // Yesterday
+    yesterdaySales: 'pm.yesterday_sales',
+    // Map status column - directly mapped now instead of calculated on frontend
+    status: 'pm.status',
+    
+    // Growth Metrics (P3)
+    salesGrowth30dVsPrev: 'pm.sales_growth_30d_vs_prev',
+    revenueGrowth30dVsPrev: 'pm.revenue_growth_30d_vs_prev',
+    salesGrowthYoy: 'pm.sales_growth_yoy',
+    revenueGrowthYoy: 'pm.revenue_growth_yoy',
+    
+    // Demand Variability Metrics (P3)
+    salesVariance30d: 'pm.sales_variance_30d',
+    salesStdDev30d: 'pm.sales_std_dev_30d',
+    salesCv30d: 'pm.sales_cv_30d',
+    demandPattern: 'pm.demand_pattern',
+    
+    // Service Level Metrics (P5)
+    fillRate30d: 'pm.fill_rate_30d',
+    stockoutIncidents30d: 'pm.stockout_incidents_30d',
+    serviceLevel30d: 'pm.service_level_30d',
+    lostSalesIncidents30d: 'pm.lost_sales_incidents_30d',
+    
+    // Seasonality Metrics (P5) 
+    seasonalityIndex: 'pm.seasonality_index',
+    seasonalPattern: 'pm.seasonal_pattern',
+    peakSeason: 'pm.peak_season',
+    
+    // Lifetime Revenue Quality
+    lifetimeRevenueQuality: 'pm.lifetime_revenue_quality'
 };
 
-    console.log('Transformed metrics data:', transformedData);
-    res.json(transformedData);
+// Define column types for use in sorting/filtering
+// This helps apply correct comparison operators and sorting logic
+const COLUMN_TYPES = {
+    // Numeric columns (use numeric operators and sorting)
+    numeric: [
+        'pid', 'currentPrice', 'currentRegularPrice', 'currentCostPrice', 'currentLandingCostPrice',
+        'currentStock', 'currentStockCost', 'currentStockRetail', 'currentStockGross',
+        'onOrderQty', 'onOrderCost', 'onOrderRetail', 'ageDays',
+        'sales7d', 'revenue7d', 'sales14d', 'revenue14d', 'sales30d', 'revenue30d',
+        'cogs30d', 'profit30d', 'returnsUnits30d', 'returnsRevenue30d', 'discounts30d',
+        'grossRevenue30d', 'grossRegularRevenue30d', 'stockoutDays30d', 'sales365d', 'revenue365d',
+        'avgStockUnits30d', 'avgStockCost30d', 'avgStockRetail30d', 'avgStockGross30d',
+        'receivedQty30d', 'receivedCost30d', 'lifetimeSales', 'lifetimeRevenue',
+        'first7DaysSales', 'first7DaysRevenue', 'first30DaysSales', 'first30DaysRevenue',
+        'first60DaysSales', 'first60DaysRevenue', 'first90DaysSales', 'first90DaysRevenue',
+        'asp30d', 'acp30d', 'avgRos30d', 'avgSalesPerDay30d', 'avgSalesPerMonth30d',
+        'margin30d', 'markup30d', 'gmroi30d', 'stockturn30d', 'returnRate30d', 'discountRate30d',
+        'stockoutRate30d', 'markdown30d', 'markdownRate30d', 'sellThrough30d', 'avgLeadTimeDays',
+        'salesVelocityDaily', 'configLeadTime', 'configDaysOfStock', 'configSafetyStock',
+        'planningPeriodDays', 'leadTimeForecastUnits', 'daysOfStockForecastUnits',
+        'planningPeriodForecastUnits', 'leadTimeClosingStock', 'daysOfStockClosingStock',
+        'replenishmentNeededRaw', 'replenishmentUnits', 'replenishmentCost', 'replenishmentRetail',
+        'replenishmentProfit', 'toOrderUnits', 'forecastLostSalesUnits', 'forecastLostRevenue',
+        'stockCoverInDays', 'poCoverInDays', 'sellsOutInDays', 'overstockedUnits',
+        'overstockedCost', 'overstockedRetail', 'yesterdaySales',
+        // New numeric columns
+        'moq', 'rating', 'reviews', 'weight', 'length', 'width', 'height', 
+        'baskets', 'notifies', 'preorderCount', 'notionsInvCount',
+        // Growth metrics
+        'salesGrowth30dVsPrev', 'revenueGrowth30dVsPrev', 'salesGrowthYoy', 'revenueGrowthYoy',
+        // Demand variability metrics
+        'salesVariance30d', 'salesStdDev30d', 'salesCv30d',
+        // Service level metrics
+        'fillRate30d', 'stockoutIncidents30d', 'serviceLevel30d', 'lostSalesIncidents30d',
+        // Seasonality metrics
+        'seasonalityIndex'
+    ],
+    // Date columns (use date operators and sorting)
+    date: [
+        'dateCreated', 'dateFirstReceived', 'dateLastReceived', 'dateFirstSold', 'dateLastSold',
+        'earliestExpectedDate', 'replenishDate', 'forecastedOutOfStockDate'
+    ],
+    // String columns (use string operators and sorting)
+    string: [
+        'sku', 'title', 'brand', 'vendor', 'imageUrl', 'abcClass', 'status',
+        // New string columns
+        'barcode', 'harmonizedTariffCode', 'vendorReference', 'notionsReference',
+        'line', 'subline', 'artist', 'countryOfOrigin', 'location',
+        // New string columns for patterns
+        'demandPattern', 'seasonalPattern', 'peakSeason', 'lifetimeRevenueQuality'
+    ],
+    // Boolean columns (use boolean operators and sorting)
+    boolean: ['isVisible', 'isReplenishable', 'isOldStock']
+};
+
+// Special sort handling for certain columns
+const SPECIAL_SORT_COLUMNS = {
+    // Percentage columns where we want to sort by the numeric value
+    margin30d: true,
+    markup30d: true,
+    sellThrough30d: true,
+    discountRate30d: true,
+    stockoutRate30d: true,
+    returnRate30d: true,
+    markdownRate30d: true,
+    
+    // Columns where we may want to sort by absolute value
+    profit30d: 'abs',
+    
+    // Velocity columns
+    salesVelocityDaily: true,
+    
+    // Growth rate columns
+    salesGrowth30dVsPrev: 'abs',
+    revenueGrowth30dVsPrev: 'abs',
+    salesGrowthYoy: 'abs',
+    revenueGrowthYoy: 'abs',
+    
+    // Status column needs special ordering
+    status: 'priority'
+};
+
+// Status priority for sorting (lower number = higher priority)
+const STATUS_PRIORITY = {
+    'Critical': 1,
+    'At Risk': 2,
+    'Reorder': 3,
+    'Overstocked': 4,
+    'Healthy': 5,
+    'New': 6
+    // Any other status will be sorted alphabetically after these
+};
+
+// Get database column name from frontend column name
+function getDbColumn(frontendColumn) {
+    return COLUMN_MAP[frontendColumn] || 'pm.title'; // Default to title if not found
+}
+
+// Get column type for proper sorting
+function getColumnType(frontendColumn) {
+    return COLUMN_TYPES[frontendColumn] || 'string';
+}
+
+// --- Route Handlers ---
+
+// GET /metrics/filter-options - Provide distinct values for filter dropdowns
+router.get('/filter-options', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /metrics/filter-options');
+    try {
+        const [vendorRes, brandRes, abcClassRes] = await Promise.all([
+            pool.query(`SELECT DISTINCT vendor FROM public.product_metrics WHERE vendor IS NOT NULL AND vendor <> '' ORDER BY vendor`),
+            pool.query(`SELECT DISTINCT COALESCE(brand, 'Unbranded') as brand FROM public.product_metrics WHERE brand IS NOT NULL AND brand <> '' ORDER BY brand`),
+            pool.query(`SELECT DISTINCT abc_class FROM public.product_metrics WHERE abc_class IS NOT NULL ORDER BY abc_class`)
+            // Add queries for other distinct options if needed (e.g., categories if stored on pm)
+        ]);
+
+        res.json({
+            vendors: vendorRes.rows.map(r => r.vendor),
+            brands: brandRes.rows.map(r => r.brand),
+            abcClasses: abcClassRes.rows.map(r => r.abc_class),
+        });
     } catch (error) {
-    console.error('Error fetching metrics trends:', error);
-    res.status(500).json({ error: 'Failed to fetch metrics trends' });
+        console.error('Error fetching filter options:', error);
+        res.status(500).json({ error: 'Failed to fetch filter options' });
     }
 });
 
+
+// GET /metrics/ - List all product metrics with filtering, sorting, pagination
+router.get('/', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /metrics received query:', req.query);
+
+    try {
+        // --- Pagination ---
+        let page = parseInt(req.query.page, 10);
+        let limit = parseInt(req.query.limit, 10);
+        if (isNaN(page) || page < 1) page = 1;
+        if (isNaN(limit) || limit < 1) limit = DEFAULT_PAGE_LIMIT;
+        limit = Math.min(limit, MAX_PAGE_LIMIT); // Cap the limit
+        const offset = (page - 1) * limit;
+
+        // --- Sorting ---
+        const sortQueryKey = req.query.sort || 'title'; // Default sort field key
+        const dbColumn = getDbColumn(sortQueryKey);
+        const columnType = getColumnType(sortQueryKey);
+        
+        console.log(`Sorting request: ${sortQueryKey} -> ${dbColumn} (${columnType})`);
+        
+        const sortDirection = req.query.order?.toLowerCase() === 'desc' ? 'DESC' : 'ASC';
+
+        // Always put nulls last regardless of sort direction or column type
+        const nullsOrder = 'NULLS LAST';
+
+        // Build the ORDER BY clause based on column type and special handling
+        let orderByClause;
+
+        if (SPECIAL_SORT_COLUMNS[sortQueryKey] === 'abs') {
+            // Sort by absolute value for columns where negative values matter
+            orderByClause = `ABS(${dbColumn}::numeric) ${sortDirection} ${nullsOrder}`;
+        } else if (columnType === 'number' || SPECIAL_SORT_COLUMNS[sortQueryKey] === true) {
+            // For numeric columns, cast to numeric to ensure proper sorting
+            orderByClause = `${dbColumn}::numeric ${sortDirection} ${nullsOrder}`;
+        } else if (columnType === 'date') {
+            // For date columns, cast to timestamp to ensure proper sorting
+            orderByClause = `CASE WHEN ${dbColumn} IS NULL THEN 1 ELSE 0 END, ${dbColumn}::timestamp ${sortDirection}`;
+        } else if (columnType === 'status' || SPECIAL_SORT_COLUMNS[sortQueryKey] === 'priority') {
+            // Special handling for status column, using priority for known statuses
+            orderByClause = `
+                CASE WHEN ${dbColumn} IS NULL THEN 999
+                     WHEN ${dbColumn} = 'Critical' THEN 1
+                     WHEN ${dbColumn} = 'At Risk' THEN 2
+                     WHEN ${dbColumn} = 'Reorder' THEN 3
+                     WHEN ${dbColumn} = 'Overstocked' THEN 4
+                     WHEN ${dbColumn} = 'Healthy' THEN 5
+                     WHEN ${dbColumn} = 'New' THEN 6
+                     ELSE 100
+                END ${sortDirection} ${nullsOrder},
+                ${dbColumn} ${sortDirection}`;
+        } else {
+            // For string and boolean columns, no special casting needed
+            orderByClause = `CASE WHEN ${dbColumn} IS NULL THEN 1 ELSE 0 END, ${dbColumn} ${sortDirection}`;
+        }
+
+        // --- Filtering ---
+        const conditions = [];
+        const params = [];
+        let paramCounter = 1;
+
+        // Add default visibility/replenishable filters unless overridden
+        if (req.query.showInvisible !== 'true') conditions.push(`pm.is_visible = true`);
+        if (req.query.showNonReplenishable !== 'true') conditions.push(`pm.is_replenishable = true`);
+
+        // Special handling for stock_status
+        if (req.query.stock_status) {
+            const status = req.query.stock_status;
+            // Handle special case for "at-risk" which is stored as "At Risk" in the database
+            if (status.toLowerCase() === 'at-risk') {
+                conditions.push(`pm.status = $${paramCounter++}`);
+                params.push('At Risk');
+            } else {
+                // Capitalize first letter to match database values
+                conditions.push(`pm.status = $${paramCounter++}`);
+                params.push(status.charAt(0).toUpperCase() + status.slice(1));
+            }
+        }
+
+        // Process other filters from query parameters
+        for (const key in req.query) {
+            // Skip control params
+            if (['page', 'limit', 'sort', 'order', 'showInvisible', 'showNonReplenishable', 'stock_status'].includes(key)) continue;
+
+            let filterKey = key;
+            let operator = '='; // Default operator
+            let value = req.query[key];
+
+            // Check for operator suffixes (e.g., sales30d_gt, title_like)
+            const operatorMatch = key.match(/^(.*)_(eq|ne|gt|gte|lt|lte|like|ilike|between|in)$/);
+            if (operatorMatch) {
+                filterKey = operatorMatch[1]; // e.g., "sales30d"
+                operator = operatorMatch[2]; // e.g., "gt"
+            }
+
+            // Get the database column for this filter key
+            const dbColumn = getDbColumn(filterKey);
+            const valueType = getColumnType(filterKey);
+            
+            if (!dbColumn) {
+                console.warn(`Invalid filter key ignored: ${key}`);
+                continue; // Skip if the key doesn't map to a known column
+            }
+
+            // --- Build WHERE clause fragment ---
+            try {
+                let conditionFragment = '';
+                let needsParam = true; // Most operators need a parameter
+
+                switch (operator.toLowerCase()) {
+                    case 'eq': operator = '='; break;
+                    case 'ne': operator = '<>'; break;
+                    case 'gt': operator = '>'; break;
+                    case 'gte': operator = '>='; break;
+                    case 'lt': operator = '<'; break;
+                    case 'lte': operator = '<='; break;
+                    case 'like': operator = 'LIKE'; value = `%${value}%`; break; // Add wildcards for LIKE
+                    case 'ilike': operator = 'ILIKE'; value = `%${value}%`; break; // Add wildcards for ILIKE
+                    case 'between':
+                        const [val1, val2] = String(value).split(',');
+                        if (val1 !== undefined && val2 !== undefined) {
+                             conditionFragment = `${dbColumn} BETWEEN $${paramCounter++} AND $${paramCounter++}`;
+                             params.push(parseValue(val1, valueType), parseValue(val2, valueType));
+                             needsParam = false; // Params added manually
+                        } else {
+                             console.warn(`Invalid 'between' value for ${key}: ${value}`);
+                             continue; // Skip this filter
+                        }
+                        break;
+                    case 'in':
+                        const inValues = String(value).split(',');
+                        if (inValues.length > 0) {
+                            const placeholders = inValues.map(() => `$${paramCounter++}`).join(', ');
+                            conditionFragment = `${dbColumn} IN (${placeholders})`;
+                            params.push(...inValues.map(v => parseValue(v, valueType))); // Add all parsed values
+                             needsParam = false; // Params added manually
+                        } else {
+                             console.warn(`Invalid 'in' value for ${key}: ${value}`);
+                             continue; // Skip this filter
+                        }
+                        break;
+                    // Add other operators as needed (IS NULL, IS NOT NULL, etc.)
+                    case '=': // Keep default '='
+                    default: operator = '='; break; // Ensure default is handled
+                }
+
+                if (needsParam) {
+                    conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
+                    params.push(parseValue(value, valueType));
+                }
+
+                if (conditionFragment) {
+                    conditions.push(`(${conditionFragment})`); // Wrap condition in parentheses
+                }
+
+            } catch (parseError) {
+                 console.warn(`Skipping filter for key "${key}" due to parsing error: ${parseError.message}`);
+                 // Decrement counter if param wasn't actually used due to error
+                 if (needsParam) paramCounter--;
+            }
+        }
+
+        // --- Construct and Execute Queries ---
+        const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';
+
+        // Debug log of conditions and parameters
+        console.log('Constructed WHERE conditions:', conditions);
+        console.log('Parameters:', params);
+
+        // Count Query
+        const countSql = `SELECT COUNT(*) AS total FROM public.product_metrics pm ${whereClause}`;
+        console.log('Executing Count Query:', countSql, params);
+        const countPromise = pool.query(countSql, params);
+
+        // Data Query (Select all columns from metrics table for now)
+        const dataSql = `
+            SELECT pm.*
+            FROM public.product_metrics pm
+            ${whereClause}
+            ORDER BY ${orderByClause}
+            LIMIT $${paramCounter} OFFSET $${paramCounter + 1}
+        `;
+        const dataParams = [...params, limit, offset];
+
+        // Log detailed query information for debugging
+        console.log('Executing Data Query:');
+        console.log('  - Sort Column:', dbColumn);
+        console.log('  - Column Type:', columnType);
+        console.log('  - Sort Direction:', sortDirection);
+        console.log('  - Order By Clause:', orderByClause);
+        console.log('  - Full SQL:', dataSql);
+        console.log('  - Parameters:', dataParams);
+
+        const dataPromise = pool.query(dataSql, dataParams);
+
+        // Execute queries in parallel
+        const [countResult, dataResult] = await Promise.all([countPromise, dataPromise]);
+
+        const total = parseInt(countResult.rows[0].total, 10);
+        const metrics = dataResult.rows;
+        console.log(`Total: ${total}, Fetched: ${metrics.length} for page ${page}`);
+
+        // --- Respond ---
+        res.json({
+            metrics,
+            pagination: {
+                total,
+                pages: Math.ceil(total / limit),
+                currentPage: page,
+                limit,
+            },
+            // Optionally include applied filters/sort for frontend confirmation
+             appliedQuery: {
+                 filters: req.query, // Send back raw query filters
+                 sort: sortQueryKey,
+                 order: sortDirection.toLowerCase()
+             }
+        });
+
+    } catch (error) {
+        console.error('Error fetching metrics list:', error);
+        res.status(500).json({ error: 'Failed to fetch product metrics list.' });
+    }
+});
+
+// GET /metrics/:pid - Get metrics for a single product
+router.get('/:pid', async (req, res) => {
+    const pool = req.app.locals.pool;
+    const pid = parseInt(req.params.pid, 10);
+
+    if (isNaN(pid)) {
+        return res.status(400).json({ error: 'Invalid Product ID.' });
+    }
+
+    console.log(`GET /metrics/${pid}`);
+    try {
+        const { rows } = await pool.query(
+            `SELECT * FROM public.product_metrics WHERE pid = $1`,
+            [pid]
+        );
+
+        if (rows.length === 0) {
+            console.log(`Metrics not found for PID: ${pid}`);
+            return res.status(404).json({ error: 'Metrics not found for this product.' });
+        }
+
+        console.log(`Metrics found for PID: ${pid}`);
+        // Data is pre-calculated, return the first (only) row
+        res.json(rows[0]);
+
+    } catch (error) {
+        console.error(`Error fetching metrics for PID ${pid}:`, error);
+        res.status(500).json({ error: 'Failed to fetch product metrics.' });
+    }
+});
+
+
+/**
+ * Parses a value based on its expected type.
+ * Throws error for invalid formats.
+ */
+function parseValue(value, type) {
+    if (value === null || value === undefined || value === '') return null; // Allow empty strings? Or handle differently?
+
+    switch (type) {
+        case 'number':
+            const num = parseFloat(value);
+            if (isNaN(num)) throw new Error(`Invalid number format: "${value}"`);
+            return num;
+        case 'boolean':
+            if (String(value).toLowerCase() === 'true') return true;
+            if (String(value).toLowerCase() === 'false') return false;
+            throw new Error(`Invalid boolean format: "${value}"`);
+        case 'date':
+            // Basic validation, rely on DB to handle actual date conversion
+            if (!String(value).match(/^\d{4}-\d{2}-\d{2}$/)) {
+               // Allow full timestamps too? Adjust regex if needed
+               // console.warn(`Potentially invalid date format: "${value}"`); // Warn instead of throwing?
+            }
+            return String(value); // Send as string, let DB handle it
+        case 'string':
+        default:
+            return String(value);
+    }
+}
+
 module.exports = router;

inventory-server/src/routes/products.js

@@ -23,10 +23,7 @@ router.get('/brands', async (req, res) => {
         const { rows } = await pool.query(`
             SELECT DISTINCT COALESCE(p.brand, 'Unbranded') as brand
             FROM products p
-            JOIN purchase_orders po ON p.pid = po.pid
             WHERE p.visible = true
-            GROUP BY COALESCE(p.brand, 'Unbranded')
-            HAVING SUM(po.cost_price * po.received) >= 500
             ORDER BY COALESCE(p.brand, 'Unbranded')
         `);
         
@@ -65,6 +62,68 @@ router.get('/', async (req, res) => {
       paramCounter++;
     }
 
+    // Handle text filters for specific fields
+    if (req.query.barcode) {
+      conditions.push(`p.barcode ILIKE $${paramCounter}`);
+      params.push(`%${req.query.barcode}%`);
+      paramCounter++;
+    }
+
+    if (req.query.vendor_reference) {
+      conditions.push(`p.vendor_reference ILIKE $${paramCounter}`);
+      params.push(`%${req.query.vendor_reference}%`);
+      paramCounter++;
+    }
+
+    // Add new text filters for the additional fields
+    if (req.query.description) {
+      conditions.push(`p.description ILIKE $${paramCounter}`);
+      params.push(`%${req.query.description}%`);
+      paramCounter++;
+    }
+
+    if (req.query.harmonized_tariff_code) {
+      conditions.push(`p.harmonized_tariff_code ILIKE $${paramCounter}`);
+      params.push(`%${req.query.harmonized_tariff_code}%`);
+      paramCounter++;
+    }
+
+    if (req.query.notions_reference) {
+      conditions.push(`p.notions_reference ILIKE $${paramCounter}`);
+      params.push(`%${req.query.notions_reference}%`);
+      paramCounter++;
+    }
+
+    if (req.query.line) {
+      conditions.push(`p.line ILIKE $${paramCounter}`);
+      params.push(`%${req.query.line}%`);
+      paramCounter++;
+    }
+
+    if (req.query.subline) {
+      conditions.push(`p.subline ILIKE $${paramCounter}`);
+      params.push(`%${req.query.subline}%`);
+      paramCounter++;
+    }
+
+    if (req.query.artist) {
+      conditions.push(`p.artist ILIKE $${paramCounter}`);
+      params.push(`%${req.query.artist}%`);
+      paramCounter++;
+    }
+
+    if (req.query.country_of_origin) {
+      conditions.push(`p.country_of_origin ILIKE $${paramCounter}`);
+      params.push(`%${req.query.country_of_origin}%`);
+      paramCounter++;
+    }
+
+    if (req.query.location) {
+      conditions.push(`p.location ILIKE $${paramCounter}`);
+      params.push(`%${req.query.location}%`);
+      paramCounter++;
+    }
+
     // Handle numeric filters with operators
     const numericFields = {
       stock: 'p.stock_quantity',
@@ -74,11 +133,31 @@ router.get('/', async (req, res) => {
       dailySalesAvg: 'pm.daily_sales_avg',
       weeklySalesAvg: 'pm.weekly_sales_avg',
       monthlySalesAvg: 'pm.monthly_sales_avg',
+      avgQuantityPerOrder: 'pm.avg_quantity_per_order',
+      numberOfOrders: 'pm.number_of_orders',
       margin: 'pm.avg_margin_percent',
       gmroi: 'pm.gmroi',
+      inventoryValue: 'pm.inventory_value',
+      costOfGoodsSold: 'pm.cost_of_goods_sold',
+      grossProfit: 'pm.gross_profit',
+      turnoverRate: 'pm.turnover_rate',
       leadTime: 'pm.current_lead_time',
+      currentLeadTime: 'pm.current_lead_time',
+      targetLeadTime: 'pm.target_lead_time',
       stockCoverage: 'pm.days_of_inventory',
-      daysOfStock: 'pm.days_of_inventory'
+      daysOfStock: 'pm.days_of_inventory',
+      weeksOfStock: 'pm.weeks_of_inventory',
+      reorderPoint: 'pm.reorder_point',
+      safetyStock: 'pm.safety_stock',
+      // Add new numeric fields
+      preorderCount: 'p.preorder_count',
+      notionsInvCount: 'p.notions_inv_count',
+      rating: 'p.rating',
+      reviews: 'p.reviews',
+      weight: 'p.weight',
+      totalSold: 'p.total_sold',
+      baskets: 'p.baskets',
+      notifies: 'p.notifies'
     };
 
     Object.entries(req.query).forEach(([key, value]) => {
@@ -102,6 +181,24 @@ router.get('/', async (req, res) => {
       }
     });
 
+    // Handle date filters
+    const dateFields = {
+      firstSaleDate: 'pm.first_sale_date',
+      lastSaleDate: 'pm.last_sale_date',
+      lastPurchaseDate: 'pm.last_purchase_date',
+      firstReceivedDate: 'pm.first_received_date',
+      lastReceivedDate: 'pm.last_received_date'
+    };
+
+    Object.entries(req.query).forEach(([key, value]) => {
+      const field = dateFields[key];
+      if (field) {
+        conditions.push(`${field}::TEXT LIKE $${paramCounter}`);
+        params.push(`${value}%`); // Format like '2023-01%' to match by month or '2023-01-01' for exact date
+        paramCounter++;
+      }
+    });
+
     // Handle select filters
     if (req.query.vendor) {
       conditions.push(`p.vendor = $${paramCounter}`);
@@ -256,7 +353,8 @@ router.get('/', async (req, res) => {
         pm.last_received_date,
         pm.abc_class,
         pm.stock_status,
-        pm.turnover_rate
+        pm.turnover_rate,
+        p.date_last_sold
       FROM products p
       LEFT JOIN product_metrics pm ON p.pid = pm.pid
       LEFT JOIN product_categories pc ON p.pid = pc.pid
@@ -473,6 +571,29 @@ router.get('/:id', async (req, res) => {
       uom: parseInt(productRows[0].uom),
       managing_stock: Boolean(productRows[0].managing_stock),
       replenishable: Boolean(productRows[0].replenishable),
+      // Format new fields
+      preorder_count: parseInt(productRows[0].preorder_count || 0),
+      notions_inv_count: parseInt(productRows[0].notions_inv_count || 0),
+      harmonized_tariff_code: productRows[0].harmonized_tariff_code || '',
+      notions_reference: productRows[0].notions_reference || '',
+      line: productRows[0].line || '',
+      subline: productRows[0].subline || '',
+      artist: productRows[0].artist || '',
+      rating: parseFloat(productRows[0].rating || 0),
+      reviews: parseInt(productRows[0].reviews || 0),
+      weight: parseFloat(productRows[0].weight || 0),
+      dimensions: {
+        length: parseFloat(productRows[0].length || 0),
+        width: parseFloat(productRows[0].width || 0),
+        height: parseFloat(productRows[0].height || 0),
+      },
+      country_of_origin: productRows[0].country_of_origin || '',
+      location: productRows[0].location || '',
+      total_sold: parseInt(productRows[0].total_sold || 0),
+      baskets: parseInt(productRows[0].baskets || 0),
+      notifies: parseInt(productRows[0].notifies || 0),
+      date_last_sold: productRows[0].date_last_sold || null,
+      // Format existing analytics fields
       daily_sales_avg: parseFloat(productRows[0].daily_sales_avg) || 0,
       weekly_sales_avg: parseFloat(productRows[0].weekly_sales_avg) || 0,
       monthly_sales_avg: parseFloat(productRows[0].monthly_sales_avg) || 0,
@@ -505,163 +626,6 @@ router.get('/:id', async (req, res) => {
   }
 });
 
-// Import products from CSV
-router.post('/import', upload.single('file'), async (req, res) => {
-  if (!req.file) {
-    return res.status(400).json({ error: 'No file uploaded' });
-  }
-
-  try {
-    const result = await importProductsFromCSV(req.file.path, req.app.locals.pool);
-    // Clean up the uploaded file
-    require('fs').unlinkSync(req.file.path);
-    res.json(result);
-  } catch (error) {
-    console.error('Error importing products:', error);
-    res.status(500).json({ error: 'Failed to import products' });
-  }
-});
-
-// Update a product
-router.put('/:id', async (req, res) => {
-  const pool = req.app.locals.pool;
-  try {
-    const {
-      title,
-      sku,
-      stock_quantity,
-      price,
-      regular_price,
-      cost_price,
-      vendor,
-      brand,
-      categories,
-      visible,
-      managing_stock
-    } = req.body;
-
-    const { rowCount } = await pool.query(
-      `UPDATE products 
-       SET title = $1,
-           sku = $2,
-           stock_quantity = $3,
-           price = $4,
-           regular_price = $5,
-           cost_price = $6,
-           vendor = $7,
-           brand = $8,
-           categories = $9,
-           visible = $10,
-           managing_stock = $11
-       WHERE pid = $12`,
-      [
-        title,
-        sku,
-        stock_quantity,
-        price,
-        regular_price,
-        cost_price,
-        vendor,
-        brand,
-        categories,
-        visible,
-        managing_stock,
-        req.params.id
-      ]
-    );
-
-    if (rowCount === 0) {
-      return res.status(404).json({ error: 'Product not found' });
-    }
-
-    res.json({ message: 'Product updated successfully' });
-  } catch (error) {
-    console.error('Error updating product:', error);
-    res.status(500).json({ error: 'Failed to update product' });
-  }
-});
-
-// Get product metrics
-router.get('/:id/metrics', async (req, res) => {
-  const pool = req.app.locals.pool;
-  try {
-    const { id } = req.params;
-    
-    // Get metrics from product_metrics table with inventory health data
-    const { rows: metrics } = await pool.query(`
-      WITH inventory_status AS (
-        SELECT 
-          p.pid,
-          CASE 
-            WHEN pm.daily_sales_avg = 0 THEN 'New'
-            WHEN p.stock_quantity <= CEIL(pm.daily_sales_avg * 7) THEN 'Critical'
-            WHEN p.stock_quantity <= CEIL(pm.daily_sales_avg * 14) THEN 'Reorder'
-            WHEN p.stock_quantity > (pm.daily_sales_avg * 90) THEN 'Overstocked'
-            ELSE 'Healthy'
-          END as calculated_status
-        FROM products p
-        LEFT JOIN product_metrics pm ON p.pid = pm.pid
-        WHERE p.pid = $1
-      )
-      SELECT 
-        COALESCE(pm.daily_sales_avg, 0) as daily_sales_avg,
-        COALESCE(pm.weekly_sales_avg, 0) as weekly_sales_avg,
-        COALESCE(pm.monthly_sales_avg, 0) as monthly_sales_avg,
-        COALESCE(pm.days_of_inventory, 0) as days_of_inventory,
-        COALESCE(pm.reorder_point, CEIL(COALESCE(pm.daily_sales_avg, 0) * 14)) as reorder_point,
-        COALESCE(pm.safety_stock, CEIL(COALESCE(pm.daily_sales_avg, 0) * 7)) as safety_stock,
-        COALESCE(pm.avg_margin_percent, 
-          ((p.price - COALESCE(p.cost_price, 0)) / NULLIF(p.price, 0)) * 100
-        ) as avg_margin_percent,
-        COALESCE(pm.total_revenue, 0) as total_revenue,
-        COALESCE(pm.inventory_value, p.stock_quantity * COALESCE(p.cost_price, 0)) as inventory_value,
-        COALESCE(pm.turnover_rate, 0) as turnover_rate,
-        COALESCE(pm.abc_class, 'C') as abc_class,
-        COALESCE(pm.stock_status, is.calculated_status) as stock_status,
-        COALESCE(pm.avg_lead_time_days, 0) as avg_lead_time_days,
-        COALESCE(pm.current_lead_time, 0) as current_lead_time,
-        COALESCE(pm.target_lead_time, 14) as target_lead_time,
-        COALESCE(pm.lead_time_status, 'Unknown') as lead_time_status,
-        COALESCE(pm.reorder_qty, 0) as reorder_qty,
-        COALESCE(pm.overstocked_amt, 0) as overstocked_amt
-      FROM products p
-      LEFT JOIN product_metrics pm ON p.pid = pm.pid
-      LEFT JOIN inventory_status is ON p.pid = is.pid
-      WHERE p.pid = $2
-    `, [id, id]);
-
-    if (!metrics.length) {
-      // Return default metrics structure if no data found
-      res.json({
-        daily_sales_avg: 0,
-        weekly_sales_avg: 0,
-        monthly_sales_avg: 0,
-        days_of_inventory: 0,
-        reorder_point: 0,
-        safety_stock: 0,
-        avg_margin_percent: 0,
-        total_revenue: 0,
-        inventory_value: 0,
-        turnover_rate: 0,
-        abc_class: 'C',
-        stock_status: 'New',
-        avg_lead_time_days: 0,
-        current_lead_time: 0,
-        target_lead_time: 14,
-        lead_time_status: 'Unknown',
-        reorder_qty: 0,
-        overstocked_amt: 0
-      });
-      return;
-    }
-
-    res.json(metrics[0]);
-  } catch (error) {
-    console.error('Error fetching product metrics:', error);
-    res.status(500).json({ error: 'Failed to fetch product metrics' });
-  }
-});
-
 // Get product time series data
 router.get('/:id/time-series', async (req, res) => {
   const { id } = req.params;

inventory-server/src/routes/vendors.js

@@ -1,108 +0,0 @@
-const express = require('express');
-const router = express.Router();
-
-// Get vendors with pagination, filtering, and sorting
-router.get('/', async (req, res) => {
-  const pool = req.app.locals.pool;
-  try {
-    // Get all vendors with metrics
-    const { rows: vendors } = await pool.query(`
-      SELECT DISTINCT
-        p.vendor as name,
-        COALESCE(vm.active_products, 0) as active_products,
-        COALESCE(vm.total_orders, 0) as total_orders,
-        COALESCE(vm.avg_lead_time_days, 0) as avg_lead_time_days,
-        COALESCE(vm.on_time_delivery_rate, 0) as on_time_delivery_rate,
-        COALESCE(vm.order_fill_rate, 0) as order_fill_rate,
-        CASE 
-          WHEN COALESCE(vm.total_orders, 0) > 0 AND COALESCE(vm.order_fill_rate, 0) >= 75 THEN 'active'
-          WHEN COALESCE(vm.total_orders, 0) > 0 THEN 'inactive'
-          ELSE 'pending'
-        END as status
-      FROM products p
-      LEFT JOIN vendor_metrics vm ON p.vendor = vm.vendor
-      WHERE p.vendor IS NOT NULL AND p.vendor != ''
-    `);
-
-    // Get cost metrics for all vendors
-    const vendorNames = vendors.map(v => v.name);
-    const { rows: costMetrics } = await pool.query(`
-      SELECT 
-        vendor,
-        ROUND((SUM(ordered * cost_price)::numeric / NULLIF(SUM(ordered), 0)), 2) as avg_unit_cost,
-        ROUND(SUM(ordered * cost_price)::numeric, 3) as total_spend
-      FROM purchase_orders
-      WHERE status = 2
-        AND cost_price IS NOT NULL
-        AND ordered > 0
-        AND vendor = ANY($1)
-      GROUP BY vendor
-    `, [vendorNames]);
-
-    // Create a map of cost metrics by vendor
-    const costMetricsMap = costMetrics.reduce((acc, curr) => {
-      acc[curr.vendor] = {
-        avg_unit_cost: curr.avg_unit_cost,
-        total_spend: curr.total_spend
-      };
-      return acc;
-    }, {});
-
-    // Get overall stats
-    const { rows: [stats] } = await pool.query(`
-      SELECT 
-        COUNT(DISTINCT p.vendor) as totalVendors,
-        COUNT(DISTINCT CASE 
-          WHEN COALESCE(vm.total_orders, 0) > 0 AND COALESCE(vm.order_fill_rate, 0) >= 75 
-          THEN p.vendor 
-        END) as activeVendors,
-        COALESCE(ROUND(AVG(NULLIF(vm.avg_lead_time_days, 0))::numeric, 1), 0) as avgLeadTime,
-        COALESCE(ROUND(AVG(NULLIF(vm.order_fill_rate, 0))::numeric, 1), 0) as avgFillRate,
-        COALESCE(ROUND(AVG(NULLIF(vm.on_time_delivery_rate, 0))::numeric, 1), 0) as avgOnTimeDelivery
-      FROM products p
-      LEFT JOIN vendor_metrics vm ON p.vendor = vm.vendor
-      WHERE p.vendor IS NOT NULL AND p.vendor != ''
-    `);
-
-    // Get overall cost metrics
-    const { rows: [overallCostMetrics] } = await pool.query(`
-      SELECT 
-        ROUND((SUM(ordered * cost_price)::numeric / NULLIF(SUM(ordered), 0)), 2) as avg_unit_cost,
-        ROUND(SUM(ordered * cost_price)::numeric, 3) as total_spend
-      FROM purchase_orders
-      WHERE status = 2
-        AND cost_price IS NOT NULL
-        AND ordered > 0
-        AND vendor IS NOT NULL AND vendor != ''
-    `);
-
-    res.json({
-      vendors: vendors.map(vendor => ({
-        vendor_id: vendor.name,
-        name: vendor.name,
-        status: vendor.status,
-        avg_lead_time_days: parseFloat(vendor.avg_lead_time_days),
-        on_time_delivery_rate: parseFloat(vendor.on_time_delivery_rate),
-        order_fill_rate: parseFloat(vendor.order_fill_rate),
-        total_orders: parseInt(vendor.total_orders),
-        active_products: parseInt(vendor.active_products),
-        avg_unit_cost: parseFloat(costMetricsMap[vendor.name]?.avg_unit_cost || 0),
-        total_spend: parseFloat(costMetricsMap[vendor.name]?.total_spend || 0)
-      })),
-      stats: {
-        totalVendors: parseInt(stats.totalvendors),
-        activeVendors: parseInt(stats.activevendors),
-        avgLeadTime: parseFloat(stats.avgleadtime),
-        avgFillRate: parseFloat(stats.avgfillrate),
-        avgOnTimeDelivery: parseFloat(stats.avgontimedelivery),
-        avgUnitCost: parseFloat(overallCostMetrics.avg_unit_cost),
-        totalSpend: parseFloat(overallCostMetrics.total_spend)
-      }
-    });
-  } catch (error) {
-    console.error('Error fetching vendors:', error);
-    res.status(500).json({ error: 'Failed to fetch vendors' });
-  }
-});
-
-module.exports = router; 

inventory-server/src/routes/vendorsAggregate.js

@@ -0,0 +1,323 @@
+const express = require('express');
+const router = express.Router();
+const { parseValue } = require('../utils/apiHelpers'); // Adjust path if needed
+
+// --- Configuration & Helpers ---
+const DEFAULT_PAGE_LIMIT = 50;
+const MAX_PAGE_LIMIT = 200;
+
+// Maps query keys to DB columns in vendor_metrics
+const COLUMN_MAP = {
+    vendorName: { dbCol: 'vm.vendor_name', type: 'string' },
+    productCount: { dbCol: 'vm.product_count', type: 'number' },
+    activeProductCount: { dbCol: 'vm.active_product_count', type: 'number' },
+    replenishableProductCount: { dbCol: 'vm.replenishable_product_count', type: 'number' },
+    currentStockUnits: { dbCol: 'vm.current_stock_units', type: 'number' },
+    currentStockCost: { dbCol: 'vm.current_stock_cost', type: 'number' },
+    currentStockRetail: { dbCol: 'vm.current_stock_retail', type: 'number' },
+    onOrderUnits: { dbCol: 'vm.on_order_units', type: 'number' },
+    onOrderCost: { dbCol: 'vm.on_order_cost', type: 'number' },
+    poCount365d: { dbCol: 'vm.po_count_365d', type: 'number' },
+    avgLeadTimeDays: { dbCol: 'vm.avg_lead_time_days', type: 'number' },
+    sales7d: { dbCol: 'vm.sales_7d', type: 'number' },
+    revenue7d: { dbCol: 'vm.revenue_7d', type: 'number' },
+    sales30d: { dbCol: 'vm.sales_30d', type: 'number' },
+    revenue30d: { dbCol: 'vm.revenue_30d', type: 'number' },
+    profit30d: { dbCol: 'vm.profit_30d', type: 'number' },
+    cogs30d: { dbCol: 'vm.cogs_30d', type: 'number' },
+    sales365d: { dbCol: 'vm.sales_365d', type: 'number' },
+    revenue365d: { dbCol: 'vm.revenue_365d', type: 'number' },
+    lifetimeSales: { dbCol: 'vm.lifetime_sales', type: 'number' },
+    lifetimeRevenue: { dbCol: 'vm.lifetime_revenue', type: 'number' },
+    avgMargin30d: { dbCol: 'vm.avg_margin_30d', type: 'number' },
+    // Growth metrics
+    salesGrowth30dVsPrev: { dbCol: 'vm.sales_growth_30d_vs_prev', type: 'number' },
+    revenueGrowth30dVsPrev: { dbCol: 'vm.revenue_growth_30d_vs_prev', type: 'number' },
+    // Add aliases if needed for frontend compatibility
+    name: { dbCol: 'vm.vendor_name', type: 'string' },
+    leadTime: { dbCol: 'vm.avg_lead_time_days', type: 'number' },
+    // Add status for filtering
+    status: { dbCol: 'vendor_status', type: 'string' },
+};
+
+function getSafeColumnInfo(queryParamKey) {
+    return COLUMN_MAP[queryParamKey] || null;
+}
+
+// --- Route Handlers ---
+
+// GET /vendors-aggregate/filter-options (Just vendors list for now)
+router.get('/filter-options', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /vendors-aggregate/filter-options');
+    try {
+        // Get vendor names
+        const { rows: vendorRows } = await pool.query(`
+            SELECT DISTINCT vendor_name FROM public.vendor_metrics ORDER BY vendor_name
+        `);
+        
+        // Get status values - calculate them since they're derived
+        const { rows: statusRows } = await pool.query(`
+            SELECT DISTINCT
+                CASE 
+                    WHEN po_count_365d > 0 AND sales_30d > 0 THEN 'active'
+                    WHEN po_count_365d > 0 THEN 'inactive'
+                    ELSE 'pending'
+                END as status
+            FROM public.vendor_metrics
+            ORDER BY status
+        `);
+        
+        res.json({
+            vendors: vendorRows.map(r => r.vendor_name),
+            statuses: statusRows.map(r => r.status)
+        });
+     } catch(error) {
+        console.error('Error fetching vendor filter options:', error);
+        res.status(500).json({ error: 'Failed to fetch filter options' });
+     }
+});
+
+// GET /vendors-aggregate/stats (Overall vendor stats)
+router.get('/stats', async (req, res) => {
+     const pool = req.app.locals.pool;
+     console.log('GET /vendors-aggregate/stats');
+     try {
+         // Get basic vendor stats from aggregate table
+         const { rows: [stats] } = await pool.query(`
+            SELECT
+                COUNT(*) AS total_vendors,
+                SUM(active_product_count) AS total_active_products,
+                SUM(current_stock_cost) AS total_stock_value,
+                SUM(on_order_cost) AS total_on_order_value,
+                AVG(NULLIF(avg_lead_time_days, 0)) AS overall_avg_lead_time
+            FROM public.vendor_metrics vm
+         `);
+         
+         // Count active vendors based on criteria (from old vendors.js)
+         const { rows: [activeStats] } = await pool.query(`
+            SELECT 
+                COUNT(DISTINCT CASE 
+                    WHEN po_count_365d > 0 
+                    THEN vendor_name 
+                END) as active_vendors
+            FROM public.vendor_metrics
+         `);
+         
+         // Get overall cost metrics from purchase orders
+         const { rows: [overallCostMetrics] } = await pool.query(`
+            SELECT 
+                ROUND((SUM(ordered * po_cost_price)::numeric / NULLIF(SUM(ordered), 0)), 2) as avg_unit_cost,
+                ROUND(SUM(ordered * po_cost_price)::numeric, 3) as total_spend
+            FROM purchase_orders
+            WHERE po_cost_price IS NOT NULL
+                AND ordered > 0
+                AND vendor IS NOT NULL AND vendor != ''
+         `);
+
+         res.json({
+             totalVendors: parseInt(stats?.total_vendors || 0),
+             activeVendors: parseInt(activeStats?.active_vendors || 0),
+             totalActiveProducts: parseInt(stats?.total_active_products || 0),
+             totalValue: parseFloat(stats?.total_stock_value || 0),
+             totalOnOrderValue: parseFloat(stats?.total_on_order_value || 0),
+             avgLeadTime: parseFloat(stats?.overall_avg_lead_time || 0),
+             avgUnitCost: parseFloat(overallCostMetrics?.avg_unit_cost || 0),
+             totalSpend: parseFloat(overallCostMetrics?.total_spend || 0)
+         });
+     } catch (error) {
+        console.error('Error fetching vendor stats:', error);
+        res.status(500).json({ error: 'Failed to fetch vendor stats.' });
+     }
+});
+
+// GET /vendors-aggregate/ (List vendors)
+router.get('/', async (req, res) => {
+    const pool = req.app.locals.pool;
+    console.log('GET /vendors-aggregate received query:', req.query);
+    try {
+        // --- Pagination ---
+        let page = parseInt(req.query.page, 10) || 1;
+        let limit = parseInt(req.query.limit, 10) || DEFAULT_PAGE_LIMIT;
+        limit = Math.min(limit, MAX_PAGE_LIMIT);
+        const offset = (page - 1) * limit;
+
+        // --- Sorting ---
+        const sortQueryKey = req.query.sort || 'vendorName'; // Default sort
+        const sortColumnInfo = getSafeColumnInfo(sortQueryKey);
+        const sortColumn = sortColumnInfo ? sortColumnInfo.dbCol : 'vm.vendor_name';
+        const sortDirection = req.query.order?.toLowerCase() === 'desc' ? 'DESC' : 'ASC';
+        const nullsOrder = (sortDirection === 'ASC' ? 'NULLS FIRST' : 'NULLS LAST');
+        const sortClause = `ORDER BY ${sortColumn} ${sortDirection} ${nullsOrder}`;
+
+        // --- Filtering ---
+        const conditions = [];
+        const params = [];
+        let paramCounter = 1;
+        // Build conditions based on req.query, using COLUMN_MAP and parseValue
+        for (const key in req.query) {
+            if (['page', 'limit', 'sort', 'order'].includes(key)) continue;
+
+            let filterKey = key;
+            let operator = '='; // Default operator
+            const value = req.query[key];
+
+            const operatorMatch = key.match(/^(.*)_(eq|ne|gt|gte|lt|lte|like|ilike|between|in)$/);
+            if (operatorMatch) {
+                filterKey = operatorMatch[1];
+                operator = operatorMatch[2];
+            }
+
+            const columnInfo = getSafeColumnInfo(filterKey);
+            if (columnInfo) {
+                const dbColumn = columnInfo.dbCol;
+                const valueType = columnInfo.type;
+                 try {
+                    let conditionFragment = '';
+                    let needsParam = true;
+                    switch (operator.toLowerCase()) { // Normalize operator
+                         case 'eq': operator = '='; break;
+                         case 'ne': operator = '<>'; break;
+                         case 'gt': operator = '>'; break;
+                         case 'gte': operator = '>='; break;
+                         case 'lt': operator = '<'; break;
+                         case 'lte': operator = '<='; break;
+                         case 'like': operator = 'LIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
+                         case 'ilike': operator = 'ILIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
+                         case 'between':
+                             const [val1, val2] = String(value).split(',');
+                             if (val1 !== undefined && val2 !== undefined) {
+                                 conditionFragment = `${dbColumn} BETWEEN $${paramCounter++} AND $${paramCounter++}`;
+                                 params.push(parseValue(val1, valueType), parseValue(val2, valueType));
+                                 needsParam = false;
+                             } else continue;
+                             break;
+                         case 'in':
+                              const inValues = String(value).split(',');
+                              if (inValues.length > 0) {
+                                 const placeholders = inValues.map(() => `$${paramCounter++}`).join(', ');
+                                 conditionFragment = `${dbColumn} IN (${placeholders})`;
+                                 params.push(...inValues.map(v => parseValue(v, valueType)));
+                                 needsParam = false;
+                              } else continue;
+                              break;
+                         default: operator = '='; break;
+                    }
+
+                    if (needsParam) {
+                         conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
+                         params.push(parseValue(value, valueType));
+                    } else if (!conditionFragment) { // For LIKE/ILIKE
+                         conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
+                    }
+
+                    if (conditionFragment) {
+                         conditions.push(`(${conditionFragment})`);
+                    }
+                 } catch (parseError) {
+                     console.warn(`Skipping filter for key "${key}" due to parsing error: ${parseError.message}`);
+                     if (needsParam) paramCounter--;
+                 }
+            } else {
+                 console.warn(`Invalid filter key ignored: ${key}`);
+            }
+        }
+
+        // --- Execute Queries ---
+        const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';
+        
+        // Status calculation from vendors.js
+        const statusCase = `
+            CASE 
+                WHEN po_count_365d > 0 AND sales_30d > 0 THEN 'active'
+                WHEN po_count_365d > 0 THEN 'inactive'
+                ELSE 'pending'
+            END as vendor_status
+        `;
+        
+        const baseSql = `
+            FROM (
+                SELECT 
+                    vm.*,
+                    ${statusCase}
+                FROM public.vendor_metrics vm
+            ) vm
+            ${whereClause}
+        `;
+
+        const countSql = `SELECT COUNT(*) AS total ${baseSql}`;
+        const dataSql = `
+            WITH vendor_data AS (
+                SELECT 
+                    vm.*,
+                    ${statusCase}
+                FROM public.vendor_metrics vm
+            )
+            SELECT 
+                vm.*,
+                COALESCE(po.avg_unit_cost, 0) as avg_unit_cost,
+                COALESCE(po.total_spend, 0) as total_spend
+            FROM vendor_data vm
+            LEFT JOIN (
+                SELECT 
+                    vendor,
+                    ROUND((SUM(ordered * po_cost_price)::numeric / NULLIF(SUM(ordered), 0)), 2) as avg_unit_cost,
+                    ROUND(SUM(ordered * po_cost_price)::numeric, 3) as total_spend
+                FROM purchase_orders
+                WHERE po_cost_price IS NOT NULL AND ordered > 0
+                GROUP BY vendor
+            ) po ON vm.vendor_name = po.vendor
+            ${whereClause}
+            ${sortClause}
+            LIMIT $${paramCounter} OFFSET $${paramCounter + 1}
+        `;
+        const dataParams = [...params, limit, offset];
+
+        console.log("Count SQL:", countSql, params);
+        console.log("Data SQL:", dataSql, dataParams);
+
+        const [countResult, dataResult] = await Promise.all([
+            pool.query(countSql, params),
+            pool.query(dataSql, dataParams)
+        ]);
+
+        const total = parseInt(countResult.rows[0].total, 10);
+        const vendors = dataResult.rows.map(row => {
+            // Create a new object with both snake_case and camelCase keys
+            const transformedRow = { ...row }; // Start with original data
+            
+            for (const key in row) {
+                // Skip null/undefined values
+                if (row[key] === null || row[key] === undefined) {
+                    continue; // Original already has the null value
+                }
+
+                // Transform keys to match frontend expectations (add camelCase versions)
+                // First handle cases like sales_7d -> sales7d
+                let camelKey = key.replace(/_(\d+[a-z])/g, '$1');
+                
+                // Then handle regular snake_case -> camelCase
+                camelKey = camelKey.replace(/_([a-z])/g, (_, letter) => letter.toUpperCase());
+                if (camelKey !== key) { // Only add if different from original
+                    transformedRow[camelKey] = row[key];
+                }
+            }
+            return transformedRow;
+        });
+
+        // --- Respond ---
+        res.json({
+            vendors,
+            pagination: { total, pages: Math.ceil(total / limit), currentPage: page, limit },
+        });
+
+    } catch (error) {
+        console.error('Error fetching vendor metrics list:', error);
+        res.status(500).json({ error: 'Failed to fetch vendor metrics.' });
+    }
+});
+
+// GET /vendors-aggregate/:name (Get single vendor metric)
+// Implement if needed, remember to URL-decode the name parameter
+
+module.exports = router;

inventory-server/src/server.js

@@ -8,18 +8,19 @@ const { initPool } = require('./utils/db');
 const productsRouter = require('./routes/products');
 const dashboardRouter = require('./routes/dashboard');
 const ordersRouter = require('./routes/orders');
-const csvRouter = require('./routes/csv');
+const csvRouter = require('./routes/data-management');
 const analyticsRouter = require('./routes/analytics');
 const purchaseOrdersRouter = require('./routes/purchase-orders');
 const configRouter = require('./routes/config');
 const metricsRouter = require('./routes/metrics');
-const vendorsRouter = require('./routes/vendors');
-const categoriesRouter = require('./routes/categories');
 const importRouter = require('./routes/import');
 const aiValidationRouter = require('./routes/ai-validation');
 const templatesRouter = require('./routes/templates');
 const aiPromptsRouter = require('./routes/ai-prompts');
 const reusableImagesRouter = require('./routes/reusable-images');
+const categoriesAggregateRouter = require('./routes/categoriesAggregate');
+const vendorsAggregateRouter = require('./routes/vendorsAggregate');
+const brandsAggregateRouter = require('./routes/brandsAggregate');
 
 // Get the absolute path to the .env file
 const envPath = '/var/www/html/inventory/.env';
@@ -100,8 +101,13 @@ async function startServer() {
     app.use('/api/purchase-orders', purchaseOrdersRouter);
     app.use('/api/config', configRouter);
     app.use('/api/metrics', metricsRouter);
-    app.use('/api/vendors', vendorsRouter);
-    app.use('/api/categories', categoriesRouter);
+    // Use only the aggregate routes for vendors and categories
+    app.use('/api/vendors', vendorsAggregateRouter); 
+    app.use('/api/categories', categoriesAggregateRouter);
+    // Keep the aggregate-specific endpoints for backward compatibility
+    app.use('/api/categories-aggregate', categoriesAggregateRouter);
+    app.use('/api/vendors-aggregate', vendorsAggregateRouter);
+    app.use('/api/brands-aggregate', brandsAggregateRouter);
     app.use('/api/import', importRouter);
     app.use('/api/ai-validation', aiValidationRouter);
     app.use('/api/templates', templatesRouter);

inventory-server/src/utils/apiHelpers.js

@@ -0,0 +1,45 @@
+/**
+ * Parses a query parameter value based on its expected type.
+ * Throws error for invalid formats. Adjust date handling as needed.
+ */
+function parseValue(value, type) {
+    if (value === null || value === undefined || value === '') return null;
+
+    console.log(`Parsing value: "${value}" as type: "${type}"`);
+    
+    switch (type) {
+        case 'number':
+            const num = parseFloat(value);
+            if (isNaN(num)) {
+              console.error(`Invalid number format: "${value}"`);
+              throw new Error(`Invalid number format: "${value}"`);
+            }
+            return num;
+        case 'integer': // Specific type for integer IDs etc.
+             const int = parseInt(value, 10);
+             if (isNaN(int)) {
+               console.error(`Invalid integer format: "${value}"`);
+               throw new Error(`Invalid integer format: "${value}"`);
+             }
+             console.log(`Successfully parsed integer: ${int}`);
+             return int;
+        case 'boolean':
+            if (String(value).toLowerCase() === 'true') return true;
+            if (String(value).toLowerCase() === 'false') return false;
+            console.error(`Invalid boolean format: "${value}"`);
+            throw new Error(`Invalid boolean format: "${value}"`);
+        case 'date':
+            // Basic ISO date format validation (YYYY-MM-DD)
+            if (!String(value).match(/^\d{4}-\d{2}-\d{2}$/)) {
+               console.warn(`Potentially invalid date format passed: "${value}"`);
+               // Optionally throw an error or return null depending on strictness
+               // throw new Error(`Invalid date format (YYYY-MM-DD expected): "${value}"`);
+            }
+            return String(value); // Send as string, let DB handle casting/comparison
+        case 'string':
+        default:
+            return String(value);
+    }
+}
+
+module.exports = { parseValue };

inventory-server/src/utils/dbConnection.js

@@ -0,0 +1,239 @@
+const { Client } = require('ssh2');
+const mysql = require('mysql2/promise');
+const fs = require('fs');
+
+// Connection pooling and cache configuration
+const connectionCache = {
+  ssh: null,
+  dbConnection: null,
+  lastUsed: 0,
+  isConnecting: false,
+  connectionPromise: null,
+  // Cache expiration time in milliseconds (5 minutes)
+  expirationTime: 5 * 60 * 1000,
+  // Cache for query results (key: query string, value: {data, timestamp})
+  queryCache: new Map(),
+  // Cache duration for different query types in milliseconds
+  cacheDuration: {
+    'field-options': 30 * 60 * 1000, // 30 minutes for field options
+    'product-lines': 10 * 60 * 1000, // 10 minutes for product lines
+    'sublines': 10 * 60 * 1000,      // 10 minutes for sublines
+    'taxonomy': 30 * 60 * 1000,      // 30 minutes for taxonomy data
+    'default': 60 * 1000             // 1 minute default
+  }
+};
+
+/**
+ * Get a database connection with connection pooling
+ * @returns {Promise<{ssh: object, connection: object}>} The SSH and database connection
+ */
+async function getDbConnection() {
+  const now = Date.now();
+  
+  // Check if we need to refresh the connection due to inactivity
+  const needsRefresh = !connectionCache.ssh || 
+                       !connectionCache.dbConnection || 
+                       (now - connectionCache.lastUsed > connectionCache.expirationTime);
+  
+  // If connection is still valid, update last used time and return existing connection
+  if (!needsRefresh) {
+    connectionCache.lastUsed = now;
+    return {
+      ssh: connectionCache.ssh,
+      connection: connectionCache.dbConnection
+    };
+  }
+  
+  // If another request is already establishing a connection, wait for that promise
+  if (connectionCache.isConnecting && connectionCache.connectionPromise) {
+    try {
+      await connectionCache.connectionPromise;
+      return {
+        ssh: connectionCache.ssh,
+        connection: connectionCache.dbConnection
+      };
+    } catch (error) {
+      // If that connection attempt failed, we'll try again below
+      console.error('Error waiting for existing connection:', error);
+    }
+  }
+  
+  // Close existing connections if they exist
+  if (connectionCache.dbConnection) {
+    try {
+      await connectionCache.dbConnection.end();
+    } catch (error) {
+      console.error('Error closing existing database connection:', error);
+    }
+  }
+  
+  if (connectionCache.ssh) {
+    try {
+      connectionCache.ssh.end();
+    } catch (error) {
+      console.error('Error closing existing SSH connection:', error);
+    }
+  }
+  
+  // Mark that we're establishing a new connection
+  connectionCache.isConnecting = true;
+  
+  // Create a new promise for this connection attempt
+  connectionCache.connectionPromise = setupSshTunnel().then(tunnel => {
+    const { ssh, stream, dbConfig } = tunnel;
+    
+    return mysql.createConnection({
+      ...dbConfig,
+      stream
+    }).then(connection => {
+      // Store the new connections
+      connectionCache.ssh = ssh;
+      connectionCache.dbConnection = connection;
+      connectionCache.lastUsed = Date.now();
+      connectionCache.isConnecting = false;
+      
+      return {
+        ssh,
+        connection
+      };
+    });
+  }).catch(error => {
+    connectionCache.isConnecting = false;
+    throw error;
+  });
+  
+  // Wait for the connection to be established
+  return connectionCache.connectionPromise;
+}
+
+/**
+ * Get cached query results or execute query if not cached
+ * @param {string} cacheKey - Unique key to identify the query
+ * @param {string} queryType - Type of query (field-options, product-lines, etc.)
+ * @param {Function} queryFn - Function to execute if cache miss
+ * @returns {Promise<any>} The query result
+ */
+async function getCachedQuery(cacheKey, queryType, queryFn) {
+  // Get cache duration based on query type
+  const cacheDuration = connectionCache.cacheDuration[queryType] || connectionCache.cacheDuration.default;
+  
+  // Check if we have a valid cached result
+  const cachedResult = connectionCache.queryCache.get(cacheKey);
+  const now = Date.now();
+  
+  if (cachedResult && (now - cachedResult.timestamp < cacheDuration)) {
+    console.log(`Cache hit for ${queryType} query: ${cacheKey}`);
+    return cachedResult.data;
+  }
+  
+  // No valid cache found, execute the query
+  console.log(`Cache miss for ${queryType} query: ${cacheKey}`);
+  const result = await queryFn();
+  
+  // Cache the result
+  connectionCache.queryCache.set(cacheKey, {
+    data: result,
+    timestamp: now
+  });
+  
+  return result;
+}
+
+/**
+ * Setup SSH tunnel to production database
+ * @private - Should only be used by getDbConnection
+ * @returns {Promise<{ssh: object, stream: object, dbConfig: object}>}
+ */
+async function setupSshTunnel() {
+  const sshConfig = {
+    host: process.env.PROD_SSH_HOST,
+    port: process.env.PROD_SSH_PORT || 22,
+    username: process.env.PROD_SSH_USER,
+    privateKey: process.env.PROD_SSH_KEY_PATH
+      ? fs.readFileSync(process.env.PROD_SSH_KEY_PATH)
+      : undefined,
+    compress: true
+  };
+
+  const dbConfig = {
+    host: process.env.PROD_DB_HOST || 'localhost',
+    user: process.env.PROD_DB_USER,
+    password: process.env.PROD_DB_PASSWORD,
+    database: process.env.PROD_DB_NAME,
+    port: process.env.PROD_DB_PORT || 3306,
+    timezone: 'Z'
+  };
+
+  return new Promise((resolve, reject) => {
+    const ssh = new Client();
+
+    ssh.on('error', (err) => {
+      console.error('SSH connection error:', err);
+      reject(err);
+    });
+
+    ssh.on('ready', () => {
+      ssh.forwardOut(
+        '127.0.0.1',
+        0,
+        dbConfig.host,
+        dbConfig.port,
+        (err, stream) => {
+          if (err) reject(err);
+          resolve({ ssh, stream, dbConfig });
+        }
+      );
+    }).connect(sshConfig);
+  });
+}
+
+/**
+ * Clear cached query results
+ * @param {string} [cacheKey] - Specific cache key to clear (clears all if not provided)
+ */
+function clearQueryCache(cacheKey) {
+  if (cacheKey) {
+    connectionCache.queryCache.delete(cacheKey);
+    console.log(`Cleared cache for key: ${cacheKey}`);
+  } else {
+    connectionCache.queryCache.clear();
+    console.log('Cleared all query cache');
+  }
+}
+
+/**
+ * Force close all active connections
+ * Useful for server shutdown or manual connection reset
+ */
+async function closeAllConnections() {
+  if (connectionCache.dbConnection) {
+    try {
+      await connectionCache.dbConnection.end();
+      console.log('Closed database connection');
+    } catch (error) {
+      console.error('Error closing database connection:', error);
+    }
+    connectionCache.dbConnection = null;
+  }
+  
+  if (connectionCache.ssh) {
+    try {
+      connectionCache.ssh.end();
+      console.log('Closed SSH connection');
+    } catch (error) {
+      console.error('Error closing SSH connection:', error);
+    }
+    connectionCache.ssh = null;
+  }
+  
+  connectionCache.lastUsed = 0;
+  connectionCache.isConnecting = false;
+  connectionCache.connectionPromise = null;
+}
+
+module.exports = {
+  getDbConnection,
+  getCachedQuery,
+  clearQueryCache,
+  closeAllConnections
+}; 

inventory/index.html

@@ -2,9 +2,12 @@
 <html lang="en">
   <head>
     <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="/box.svg" />
+    <link rel="icon" type="image/x-icon" href="/cherrybottom.ico" />
+    <link rel="preconnect" href="https://fonts.googleapis.com">
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@100..900&display=swap" rel="stylesheet">
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Inventory Manager</title>
+    <title>A Cherry On Bottom</title>
   </head>
   <body>
     <div id="root"></div>

inventory/package-lock.json

@@ -52,15 +52,18 @@
         "date-fns": "^3.6.0",
         "diff": "^7.0.0",
         "framer-motion": "^12.4.4",
+        "input-otp": "^1.4.1",
         "js-levenshtein": "^1.1.6",
         "lodash": "^4.17.21",
         "lucide-react": "^0.469.0",
+        "luxon": "^3.5.0",
         "motion": "^11.18.0",
         "next-themes": "^0.4.4",
         "react": "^18.3.1",
         "react-chartjs-2": "^5.3.0",
         "react-data-grid": "^7.0.0-beta.13",
         "react-day-picker": "^8.10.1",
+        "react-debounce-input": "^3.3.0",
         "react-dom": "^18.3.1",
         "react-dropzone": "^14.3.5",
         "react-hook-form": "^7.54.2",
@@ -74,7 +77,8 @@
         "uuid": "^11.0.5",
         "vaul": "^1.1.2",
         "xlsx": "^0.18.5",
-        "zod": "^3.24.2"
+        "zod": "^3.24.2",
+        "zustand": "^5.0.2"
       },
       "devDependencies": {
         "@eslint/js": "^9.17.0",
@@ -3759,9 +3763,9 @@
       }
     },
     "node_modules/caniuse-lite": {
-      "version": "1.0.30001700",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001700.tgz",
-      "integrity": "sha512-2S6XIXwaE7K7erT8dY+kLQcpa5ms63XlRkMkReXjle+kf6c5g38vyMl+Z5y8dSxOFDhcFe+nxnn261PLxBSQsQ==",
+      "version": "1.0.30001739",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001739.tgz",
+      "integrity": "sha512-y+j60d6ulelrNSwpPyrHdl+9mJnQzHBr08xm48Qno0nSk4h3Qojh+ziv2qE6rXf4k3tadF4o1J/1tAbVm1NtnA==",
       "dev": true,
       "funding": [
         {
@@ -5731,6 +5735,16 @@
       "integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==",
       "license": "ISC"
     },
+    "node_modules/input-otp": {
+      "version": "1.4.2",
+      "resolved": "https://registry.npmjs.org/input-otp/-/input-otp-1.4.2.tgz",
+      "integrity": "sha512-l3jWwYNvrEa6NTCt7BECfCm48GvwuZzkoeG3gBL2w4CHeOXW3eKFmf9UNYkNfYc3mxMrthMnxjIE07MT0zLBQA==",
+      "license": "MIT",
+      "peerDependencies": {
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0.0 || ^19.0.0-rc"
+      }
+    },
     "node_modules/internmap": {
       "version": "2.0.3",
       "resolved": "https://registry.npmjs.org/internmap/-/internmap-2.0.3.tgz",
@@ -6043,6 +6057,12 @@
       "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==",
       "license": "MIT"
     },
+    "node_modules/lodash.debounce": {
+      "version": "4.0.8",
+      "resolved": "https://registry.npmjs.org/lodash.debounce/-/lodash.debounce-4.0.8.tgz",
+      "integrity": "sha512-FT1yDzDYEoYWhnSGnpE/4Kj1fLZkDFyqRb7fNt6FdYOSxlUWAtp42Eh6Wb0rGIv/m9Bgo7x4GhQbm5Ys4SG5ow==",
+      "license": "MIT"
+    },
     "node_modules/lodash.merge": {
       "version": "4.6.2",
       "resolved": "https://registry.npmjs.org/lodash.merge/-/lodash.merge-4.6.2.tgz",
@@ -6097,6 +6117,15 @@
         "react": "^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0"
       }
     },
+    "node_modules/luxon": {
+      "version": "3.6.1",
+      "resolved": "https://registry.npmjs.org/luxon/-/luxon-3.6.1.tgz",
+      "integrity": "sha512-tJLxrKJhO2ukZ5z0gyjY1zPh3Rh88Ej9P7jNrZiHMUXHae1yvI2imgOZtL1TO8TW6biMMKfTtAOoEJANgtWBMQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      }
+    },
     "node_modules/math-intrinsics": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz",
@@ -6919,6 +6948,19 @@
         "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
       }
     },
+    "node_modules/react-debounce-input": {
+      "version": "3.3.0",
+      "resolved": "https://registry.npmjs.org/react-debounce-input/-/react-debounce-input-3.3.0.tgz",
+      "integrity": "sha512-VEqkvs8JvY/IIZvh71Z0TC+mdbxERvYF33RcebnodlsUZ8RSgyKe2VWaHXv4+/8aoOgXLxWrdsYs2hDhcwbUgA==",
+      "license": "MIT",
+      "dependencies": {
+        "lodash.debounce": "^4",
+        "prop-types": "^15.8.1"
+      },
+      "peerDependencies": {
+        "react": "^15.3.0 || 16 || 17 || 18"
+      }
+    },
     "node_modules/react-dom": {
       "version": "18.3.1",
       "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.3.1.tgz",
@@ -8296,6 +8338,35 @@
       "funding": {
         "url": "https://github.com/sponsors/colinhacks"
       }
+    },
+    "node_modules/zustand": {
+      "version": "5.0.5",
+      "resolved": "https://registry.npmjs.org/zustand/-/zustand-5.0.5.tgz",
+      "integrity": "sha512-mILtRfKW9xM47hqxGIxCv12gXusoY/xTSHBYApXozR0HmQv299whhBeeAcRy+KrPPybzosvJBCOmVjq6x12fCg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=12.20.0"
+      },
+      "peerDependencies": {
+        "@types/react": ">=18.0.0",
+        "immer": ">=9.0.6",
+        "react": ">=18.0.0",
+        "use-sync-external-store": ">=1.2.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "immer": {
+          "optional": true
+        },
+        "react": {
+          "optional": true
+        },
+        "use-sync-external-store": {
+          "optional": true
+        }
+      }
     }
   }
 }

inventory/package.json

@@ -7,7 +7,8 @@
     "dev": "vite",
     "build": "tsc -b && vite build",
     "lint": "eslint .",
-    "preview": "vite preview"
+    "preview": "vite preview",
+    "mount": "../mountremote.command"
   },
   "dependencies": {
     "@dnd-kit/core": "^6.3.1",
@@ -54,15 +55,18 @@
     "date-fns": "^3.6.0",
     "diff": "^7.0.0",
     "framer-motion": "^12.4.4",
+    "input-otp": "^1.4.1",
     "js-levenshtein": "^1.1.6",
     "lodash": "^4.17.21",
     "lucide-react": "^0.469.0",
+    "luxon": "^3.5.0",
     "motion": "^11.18.0",
     "next-themes": "^0.4.4",
     "react": "^18.3.1",
     "react-chartjs-2": "^5.3.0",
     "react-data-grid": "^7.0.0-beta.13",
     "react-day-picker": "^8.10.1",
+    "react-debounce-input": "^3.3.0",
     "react-dom": "^18.3.1",
     "react-dropzone": "^14.3.5",
     "react-hook-form": "^7.54.2",
@@ -76,7 +80,8 @@
     "uuid": "^11.0.5",
     "vaul": "^1.1.2",
     "xlsx": "^0.18.5",
-    "zod": "^3.24.2"
+    "zod": "^3.24.2",
+    "zustand": "^5.0.2"
   },
   "devDependencies": {
     "@eslint/js": "^9.17.0",

inventory/public/box.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><g fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2"><path d="M21 8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16Z"/><path d="m3.3 7l8.7 5l8.7-5M12 22V12"/></g></svg>

inventory/src/App.css

@@ -1,42 +1,3 @@
 #root {
-  max-width: 1800px;
-  margin: 0 auto;
-  padding: 2rem;
-  text-align: center;
-}
-
-.logo {
-  height: 6em;
-  padding: 1.5em;
-  will-change: filter;
-  transition: filter 300ms;
-}
-.logo:hover {
-  filter: drop-shadow(0 0 2em #646cffaa);
-}
-.logo.react:hover {
-  filter: drop-shadow(0 0 2em #61dafbaa);
-}
-
-@keyframes logo-spin {
-  from {
-    transform: rotate(0deg);
-  }
-  to {
-    transform: rotate(360deg);
-  }
-}
-
-@media (prefers-reduced-motion: no-preference) {
-  a:nth-of-type(2) .logo {
-    animation: logo-spin infinite 20s linear;
-  }
-}
-
-.card {
-  padding: 2em;
-}
-
-.read-the-docs {
-  color: #888;
+  font-family: 'Inter', sans-serif;
 }

inventory/src/App.tsx

@@ -1,23 +1,40 @@
 import { Routes, Route, useNavigate, Navigate, useLocation } from 'react-router-dom';
 import { MainLayout } from './components/layout/MainLayout';
 import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
-import { Products } from './pages/Products';
-import { Dashboard } from './pages/Dashboard';
-import { Settings } from './pages/Settings';
-import { Analytics } from './pages/Analytics';
 import { Toaster } from '@/components/ui/sonner';
-import PurchaseOrders from './pages/PurchaseOrders';
-import { Login } from './pages/Login';
-import { useEffect } from 'react';
+import { useEffect, Suspense, lazy } from 'react';
 import config from './config';
 import { RequireAuth } from './components/auth/RequireAuth';
-import Forecasting from "@/pages/Forecasting";
-import { Vendors } from '@/pages/Vendors';
-import { Categories } from '@/pages/Categories';
-import { Import } from '@/pages/Import';
 import { AuthProvider } from './contexts/AuthContext';
 import { Protected } from './components/auth/Protected';
 import { FirstAccessiblePage } from './components/auth/FirstAccessiblePage';
+import { PageLoading } from '@/components/ui/page-loading';
+
+// Always loaded components (Login and Settings stay in main bundle)
+import { Settings } from './pages/Settings';  
+import { Login } from './pages/Login';
+
+// Lazy load the 4 main chunks you wanted:
+
+// 1. Core inventory app - loaded as one chunk when any inventory page is accessed
+const Overview = lazy(() => import('./pages/Overview'));
+const Products = lazy(() => import('./pages/Products').then(module => ({ default: module.Products })));
+const Analytics = lazy(() => import('./pages/Analytics').then(module => ({ default: module.Analytics })));
+const Forecasting = lazy(() => import('./pages/Forecasting'));
+const Vendors = lazy(() => import('./pages/Vendors'));
+const Categories = lazy(() => import('./pages/Categories'));  
+const Brands = lazy(() => import('./pages/Brands'));
+const PurchaseOrders = lazy(() => import('./pages/PurchaseOrders'));
+
+// 2. Dashboard app - separate chunk
+const Dashboard = lazy(() => import('./pages/Dashboard'));
+const SmallDashboard = lazy(() => import('./pages/SmallDashboard'));
+
+// 3. Product import - separate chunk  
+const Import = lazy(() => import('./pages/Import').then(module => ({ default: module.Import })));
+
+// 4. Chat archive - separate chunk
+const Chat = lazy(() => import('./pages/Chat').then(module => ({ default: module.Chat })));
 
 const queryClient = new QueryClient();
 
@@ -72,62 +89,110 @@ function App() {
       <AuthProvider>
         <Toaster richColors position="top-center" />
         <Routes>
+          {/* Always loaded routes */}
           <Route path="/login" element={<Login />} />
+          <Route path="/small" element={
+            <Suspense fallback={<PageLoading />}>
+              <SmallDashboard />
+            </Suspense>
+          } />
           <Route element={
             <RequireAuth>
               <MainLayout />
             </RequireAuth>
           }>
+            {/* Core inventory app routes - will be lazy loaded */}
             <Route index element={
-              <Protected page="dashboard" fallback={<FirstAccessiblePage />}>
-                <Dashboard />
-              </Protected>
-            } />
-            <Route path="/" element={
-              <Protected page="dashboard">
-                <Dashboard />
+              <Protected page="overview" fallback={<FirstAccessiblePage />}>
+                <Suspense fallback={<PageLoading />}>
+                  <Overview />
+                </Suspense>
               </Protected>
             } />
             <Route path="/products" element={
               <Protected page="products">
+                <Suspense fallback={<PageLoading />}>
                   <Products />
-              </Protected>
-            } />
-            <Route path="/import" element={
-              <Protected page="import">
-                <Import />
+                </Suspense>
               </Protected>
             } />
             <Route path="/categories" element={
               <Protected page="categories">
+                <Suspense fallback={<PageLoading />}>
                   <Categories />
+                </Suspense>
               </Protected>
             } />
             <Route path="/vendors" element={
               <Protected page="vendors">
+                <Suspense fallback={<PageLoading />}>
                   <Vendors />
+                </Suspense>
+              </Protected>
+            } />
+            <Route path="/brands" element={
+              <Protected page="brands">
+                <Suspense fallback={<PageLoading />}>
+                  <Brands />
+                </Suspense>
               </Protected>
             } />
             <Route path="/purchase-orders" element={
               <Protected page="purchase_orders">
+                <Suspense fallback={<PageLoading />}>
                   <PurchaseOrders />
+                </Suspense>
               </Protected>
             } />
             <Route path="/analytics" element={
               <Protected page="analytics">
+                <Suspense fallback={<PageLoading />}>
                   <Analytics />
+                </Suspense>
               </Protected>
             } />
+            <Route path="/forecasting" element={
+              <Protected page="forecasting">
+                <Suspense fallback={<PageLoading />}>
+                  <Forecasting />
+                </Suspense>
+              </Protected>
+            } />
+            
+            {/* Always loaded settings */}
             <Route path="/settings" element={
               <Protected page="settings">
                 <Settings />
               </Protected>
             } />
-            <Route path="/forecasting" element={
-              <Protected page="forecasting">
-                <Forecasting />
+            
+            {/* Product import - separate chunk */}
+            <Route path="/import" element={
+              <Protected page="import">
+                <Suspense fallback={<PageLoading />}>
+                  <Import />
+                </Suspense>
               </Protected>
             } />
+            
+            {/* Chat archive - separate chunk */}
+            <Route path="/chat" element={
+              <Protected page="chat">
+                <Suspense fallback={<PageLoading />}>
+                  <Chat />
+                </Suspense>
+              </Protected>
+            } />
+            
+            {/* Dashboard app - separate chunk */}
+            <Route path="/dashboard" element={
+              <Protected page="dashboard">
+                <Suspense fallback={<PageLoading />}>
+                  <Dashboard />
+                </Suspense>
+              </Protected>
+            } />
+            
             <Route path="*" element={<Navigate to="/" replace />} />
           </Route>
         </Routes>

inventory/src/components/analytics/CategoryPerformance.tsx

@@ -38,21 +38,22 @@ export function CategoryPerformance() {
       const rawData = await response.json();
       return {
         performance: rawData.performance.map((item: any) => ({
-          ...item,
-          categoryPath: item.categoryPath || item.category,
+          category: item.category || '',
+          categoryPath: item.categoryPath || item.categorypath || item.category || '',
           revenue: Number(item.revenue) || 0,
           profit: Number(item.profit) || 0,
           growth: Number(item.growth) || 0,
-          productCount: Number(item.productCount) || 0
+          productCount: Number(item.productCount) || Number(item.productcount) || 0
         })),
         distribution: rawData.distribution.map((item: any) => ({
-          ...item,
-          categoryPath: item.categoryPath || item.category,
+          category: item.category || '',
+          categoryPath: item.categoryPath || item.categorypath || item.category || '',
           value: Number(item.value) || 0
         })),
         trends: rawData.trends.map((item: any) => ({
-          ...item,
-          categoryPath: item.categoryPath || item.category,
+          category: item.category || '',
+          categoryPath: item.categoryPath || item.categorypath || item.category || '',
+          month: item.month || '',
           sales: Number(item.sales) || 0
         }))
       };

inventory/src/components/analytics/PriceAnalysis.tsx

@@ -25,41 +25,91 @@ interface PriceData {
 }
 
 export function PriceAnalysis() {
-  const { data, isLoading } = useQuery<PriceData>({
+  const { data, isLoading, error } = useQuery<PriceData>({
     queryKey: ['price-analysis'],
     queryFn: async () => {
+      try {
         const response = await fetch(`${config.apiUrl}/analytics/pricing`);
         if (!response.ok) {
-        throw new Error('Failed to fetch price analysis');
+          throw new Error(`Failed to fetch: ${response.status}`);
         }
         const rawData = await response.json();
+
+        if (!rawData || !rawData.pricePoints) {
           return {
-        pricePoints: rawData.pricePoints.map((item: any) => ({
-          ...item,
+            pricePoints: [],
+            elasticity: [],
+            recommendations: []
+          };
+        }
+        
+        return {
+          pricePoints: (rawData.pricePoints || []).map((item: any) => ({
             price: Number(item.price) || 0,
-          salesVolume: Number(item.salesVolume) || 0,
-          revenue: Number(item.revenue) || 0
+            salesVolume: Number(item.salesVolume || item.salesvolume) || 0,
+            revenue: Number(item.revenue) || 0,
+            category: item.category || ''
           })),
-        elasticity: rawData.elasticity.map((item: any) => ({
-          ...item,
+          elasticity: (rawData.elasticity || []).map((item: any) => ({
+            date: item.date || '',
             price: Number(item.price) || 0,
             demand: Number(item.demand) || 0
           })),
-        recommendations: rawData.recommendations.map((item: any) => ({
-          ...item,
-          currentPrice: Number(item.currentPrice) || 0,
-          recommendedPrice: Number(item.recommendedPrice) || 0,
-          potentialRevenue: Number(item.potentialRevenue) || 0,
+          recommendations: (rawData.recommendations || []).map((item: any) => ({
+            product: item.product || '',
+            currentPrice: Number(item.currentPrice || item.currentprice) || 0,
+            recommendedPrice: Number(item.recommendedPrice || item.recommendedprice) || 0,
+            potentialRevenue: Number(item.potentialRevenue || item.potentialrevenue) || 0,
             confidence: Number(item.confidence) || 0
           }))
         };
+      } catch (err) {
+        console.error('Error fetching price data:', err);
+        throw err;
+      }
     },
+    retry: 1
   });
 
-  if (isLoading || !data) {
+  if (isLoading) {
     return <div>Loading price analysis...</div>;
   }
 
+  if (error || !data) {
+    return (
+      <Card className="mb-4">
+        <CardHeader>
+          <CardTitle>Price Analysis</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-red-500">
+            Unable to load price analysis. The price metrics may need to be set up in the database.
+          </p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  // Early return if no data to display
+  if (
+    data.pricePoints.length === 0 && 
+    data.elasticity.length === 0 && 
+    data.recommendations.length === 0
+  ) {
+    return (
+      <Card className="mb-4">
+        <CardHeader>
+          <CardTitle>Price Analysis</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-muted-foreground">
+            No price data available. This may be because the price metrics haven't been calculated yet.
+          </p>
+        </CardContent>
+      </Card>
+    );
+  }
+
   return (
     <div className="grid gap-4">
       <div className="grid gap-4 md:grid-cols-2">

inventory/src/components/analytics/ProfitAnalysis.tsx

@@ -38,22 +38,23 @@ export function ProfitAnalysis() {
       const rawData = await response.json();
       return {
         byCategory: rawData.byCategory.map((item: any) => ({
-          ...item,
-          categoryPath: item.categoryPath || item.category,
-          profitMargin: Number(item.profitMargin) || 0,
+          category: item.category || '',
+          categoryPath: item.categorypath || item.category || '',
+          profitMargin: item.profitmargin !== null ? Number(item.profitmargin) : 0,
           revenue: Number(item.revenue) || 0,
           cost: Number(item.cost) || 0
         })),
         overTime: rawData.overTime.map((item: any) => ({
-          ...item,
-          profitMargin: Number(item.profitMargin) || 0,
+          date: item.date || '',
+          profitMargin: item.profitmargin !== null ? Number(item.profitmargin) : 0,
           revenue: Number(item.revenue) || 0,
           cost: Number(item.cost) || 0
         })),
         topProducts: rawData.topProducts.map((item: any) => ({
-          ...item,
-          categoryPath: item.categoryPath || item.category,
-          profitMargin: Number(item.profitMargin) || 0,
+          product: item.product || '',
+          category: item.category || '',
+          categoryPath: item.categorypath || item.category || '',
+          profitMargin: item.profitmargin !== null ? Number(item.profitmargin) : 0,
           revenue: Number(item.revenue) || 0,
           cost: Number(item.cost) || 0
         }))

inventory/src/components/analytics/StockAnalysis.tsx

@@ -28,42 +28,93 @@ interface StockData {
 }
 
 export function StockAnalysis() {
-  const { data, isLoading } = useQuery<StockData>({
+  const { data, isLoading, error } = useQuery<StockData>({
     queryKey: ['stock-analysis'],
     queryFn: async () => {
+      try {
         const response = await fetch(`${config.apiUrl}/analytics/stock`);
         if (!response.ok) {
-        throw new Error('Failed to fetch stock analysis');
+          throw new Error(`Failed to fetch: ${response.status}`);
         }
         const rawData = await response.json();
+        
+        if (!rawData || !rawData.turnoverByCategory) {
           return {
-        turnoverByCategory: rawData.turnoverByCategory.map((item: any) => ({
-          ...item,
-          turnoverRate: Number(item.turnoverRate) || 0,
-          averageStock: Number(item.averageStock) || 0,
-          totalSales: Number(item.totalSales) || 0
+            turnoverByCategory: [],
+            stockLevels: [],
+            criticalItems: []
+          };
+        }
+        
+        return {
+          turnoverByCategory: (rawData.turnoverByCategory || []).map((item: any) => ({
+            category: item.category || '',
+            turnoverRate: Number(item.turnoverRate || item.turnoverrate) || 0,
+            averageStock: Number(item.averageStock || item.averagestock) || 0,
+            totalSales: Number(item.totalSales || item.totalsales) || 0
           })),
-        stockLevels: rawData.stockLevels.map((item: any) => ({
-          ...item,
-          inStock: Number(item.inStock) || 0,
-          lowStock: Number(item.lowStock) || 0,
-          outOfStock: Number(item.outOfStock) || 0
+          stockLevels: (rawData.stockLevels || []).map((item: any) => ({
+            date: item.date || '',
+            inStock: Number(item.inStock || item.instock) || 0,
+            lowStock: Number(item.lowStock || item.lowstock) || 0,
+            outOfStock: Number(item.outOfStock || item.outofstock) || 0
           })),
-        criticalItems: rawData.criticalItems.map((item: any) => ({
-          ...item,
-          stockQuantity: Number(item.stockQuantity) || 0,
-          reorderPoint: Number(item.reorderPoint) || 0,
-          turnoverRate: Number(item.turnoverRate) || 0,
-          daysUntilStockout: Number(item.daysUntilStockout) || 0
+          criticalItems: (rawData.criticalItems || []).map((item: any) => ({
+            product: item.product || '',
+            sku: item.sku || '',
+            stockQuantity: Number(item.stockQuantity || item.stockquantity) || 0,
+            reorderPoint: Number(item.reorderPoint || item.reorderpoint) || 0,
+            turnoverRate: Number(item.turnoverRate || item.turnoverrate) || 0,
+            daysUntilStockout: Number(item.daysUntilStockout || item.daysuntilstockout) || 0
           }))
         };
+      } catch (err) {
+        console.error('Error fetching stock data:', err);
+        throw err;
+      }
     },
+    retry: 1
   });
 
-  if (isLoading || !data) {
+  if (isLoading) {
     return <div>Loading stock analysis...</div>;
   }
 
+  if (error || !data) {
+    return (
+      <Card className="mb-4">
+        <CardHeader>
+          <CardTitle>Stock Analysis</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-red-500">
+            Unable to load stock analysis. The stock metrics may need to be set up in the database.
+          </p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  // Early return if no data to display
+  if (
+    data.turnoverByCategory.length === 0 && 
+    data.stockLevels.length === 0 && 
+    data.criticalItems.length === 0
+  ) {
+    return (
+      <Card className="mb-4">
+        <CardHeader>
+          <CardTitle>Stock Analysis</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-muted-foreground">
+            No stock data available. This may be because the stock metrics haven't been calculated yet.
+          </p>
+        </CardContent>
+      </Card>
+    );
+  }
+
   const getStockStatus = (daysUntilStockout: number) => {
     if (daysUntilStockout <= 7) {
       return <Badge variant="destructive">Critical</Badge>;

inventory/src/components/analytics/VendorPerformance.tsx

@@ -1,4 +1,3 @@
-import { useQuery } from '@tanstack/react-query';
 import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
 import { ResponsiveContainer, BarChart, Bar, XAxis, YAxis, Tooltip, ScatterChart, Scatter, ZAxis } from 'recharts';
 import config from '../../config';
@@ -59,22 +58,22 @@ export function VendorPerformance() {
         // Create a complete structure even if some parts are missing
         const data: VendorData = {
           performance: rawData.performance.map((vendor: any) => ({
-            vendor: vendor.vendor,
-            salesVolume: Number(vendor.salesVolume) || 0,
-            profitMargin: Number(vendor.profitMargin) || 0,
-            stockTurnover: Number(vendor.stockTurnover) || 0,
+            vendor: vendor.vendor || '',
+            salesVolume: vendor.salesVolume !== null ? Number(vendor.salesVolume) : 0,
+            profitMargin: vendor.profitMargin !== null ? Number(vendor.profitMargin) : 0,
+            stockTurnover: vendor.stockTurnover !== null ? Number(vendor.stockTurnover) : 0,
             productCount: Number(vendor.productCount) || 0,
-            growth: Number(vendor.growth) || 0
+            growth: vendor.growth !== null ? Number(vendor.growth) : 0
           })),
           comparison: rawData.comparison?.map((vendor: any) => ({
-            vendor: vendor.vendor,
-            salesPerProduct: Number(vendor.salesPerProduct) || 0,
-            averageMargin: Number(vendor.averageMargin) || 0,
+            vendor: vendor.vendor || '',
+            salesPerProduct: vendor.salesPerProduct !== null ? Number(vendor.salesPerProduct) : 0,
+            averageMargin: vendor.averageMargin !== null ? Number(vendor.averageMargin) : 0,
             size: Number(vendor.size) || 0
           })) || [],
           trends: rawData.trends?.map((vendor: any) => ({
-            vendor: vendor.vendor,
-            month: vendor.month,
+            vendor: vendor.vendor || '',
+            month: vendor.month || '',
             sales: Number(vendor.sales) || 0
           })) || []
         };

inventory/src/components/auth/PERMISSIONS.md

@@ -1,67 +1,162 @@
 # Permission System Documentation
 
-This document outlines the simplified permission system implemented in the Inventory Manager application.
+This document outlines the permission system implemented in the Inventory Manager application.
 
 ## Permission Structure
 
 Permissions follow this naming convention:
 
 - Page access: `access:{page_name}`
-- Actions: `{action}:{resource}`
+- Settings sections: `settings:{section_name}`
+- Admin features: `admin:{feature}`
 
 Examples:
 - `access:products` - Can access the Products page
-- `create:products` - Can create new products
-- `edit:users` - Can edit user accounts
+- `settings:user_management` - Can access User Management settings
+- `admin:debug` - Can see debug information
 
-## Permission Component
+## Permission Components
 
-### Protected
+### PermissionGuard
 
 The core component that conditionally renders content based on permissions.
 
 ```tsx
-<Protected 
-  permission="create:products"
+<PermissionGuard 
+  permission="settings:user_management"
   fallback={<p>No permission</p>}
 >
-  <button>Create Product</button>
-</Protected>
+  <button>Manage Users</button>
+</PermissionGuard>
 ```
 
 Options:
-- `permission`: Single permission code (e.g., "create:products")
-- `page`: Page name (checks `access:{page}` permission)
-- `resource` + `action`: Resource and action (checks `{action}:{resource}` permission)
+- `permission`: Single permission code
+- `anyPermissions`: Array of permissions (ANY match grants access)
+- `allPermissions`: Array of permissions (ALL required)
 - `adminOnly`: For admin-only sections
+- `page`: Page name (checks `access:{page}` permission)
 - `fallback`: Content to show if permission check fails
 
-### RequireAuth
+### PermissionProtectedRoute
 
-Used for basic authentication checks (is user logged in?).
+Protects entire pages based on page access permissions.
 
 ```tsx
-<Route element={
-  <RequireAuth>
-    <MainLayout />
-  </RequireAuth>
-}>
-  {/* Protected routes */}
-</Route>
+<Route path="/products" element={
+  <PermissionProtectedRoute page="products">
+    <Products />
+  </PermissionProtectedRoute>
+} />
 ```
 
-## Common Permission Codes
+### ProtectedSection
 
+Protects sections within a page based on action permissions.
+
+```tsx
+<ProtectedSection page="products" action="create">
+  <button>Add Product</button>
+</ProtectedSection>
+```
+
+### PermissionButton
+
+Button that automatically handles permissions.
+
+```tsx
+<PermissionButton 
+  page="products" 
+  action="create"
+  onClick={handleCreateProduct}
+>
+  Add Product
+</PermissionButton>
+```
+
+### SettingsSection
+
+Specific component for settings with built-in permission checks.
+
+```tsx
+<SettingsSection
+  title="System Settings"
+  description="Configure global settings"
+  permission="settings:global"
+>
+  {/* Settings content */}
+</SettingsSection>
+```
+
+## Permission Hooks
+
+### usePermissions
+
+Core hook for checking any permission.
+
+```tsx
+const { hasPermission, hasPageAccess, isAdmin } = usePermissions();
+if (hasPermission('settings:user_management')) {
+  // Can access user management
+}
+```
+
+### usePagePermission
+
+Specialized hook for page-level permissions.
+
+```tsx
+const { canView, canCreate, canEdit, canDelete } = usePagePermission('products');
+if (canView()) {
+  // Can view products
+}
+```
+
+## Database Schema
+
+Permissions are stored in the database:
+- `permissions` table: Stores all available permissions
+- `user_permissions` junction table: Maps permissions to users
+
+Admin users automatically have all permissions.
+
+## Implemented Permission Codes
+
+### Page Access Permissions
 | Code | Description |
 |------|-------------|
 | `access:dashboard` | Access to Dashboard page |
+| `access:overview` | Access to Overview page |
 | `access:products` | Access to Products page |
-| `create:products` | Create new products |
-| `edit:products` | Edit existing products |
-| `delete:products` | Delete products |
-| `view:users` | View user accounts |
-| `edit:users` | Edit user accounts |
-| `manage:permissions` | Assign permissions to users |
+| `access:categories` | Access to Categories page |
+| `access:brands` | Access to Brands page |
+| `access:vendors` | Access to Vendors page |
+| `access:purchase_orders` | Access to Purchase Orders page |
+| `access:analytics` | Access to Analytics page |
+| `access:forecasting` | Access to Forecasting page |
+| `access:import` | Access to Import page |
+| `access:settings` | Access to Settings page |
+| `access:chat` | Access to Chat Archive page |
+
+### Settings Permissions
+| Code | Description |
+|------|-------------|
+| `settings:global` | Access to Global Settings section |
+| `settings:products` | Access to Product Settings section |
+| `settings:vendors` | Access to Vendor Settings section |
+| `settings:data_management` | Access to Data Management settings |
+| `settings:calculation_settings` | Access to Calculation Settings |
+| `settings:library_management` | Access to Image Library Management |
+| `settings:performance_metrics` | Access to Performance Metrics |
+| `settings:prompt_management` | Access to AI Prompt Management |
+| `settings:stock_management` | Access to Stock Management |
+| `settings:templates` | Access to Template Management |
+| `settings:user_management` | Access to User Management |
+
+### Admin Permissions
+| Code | Description |
+|------|-------------|
+| `admin:debug` | Can see debug information and features |
 
 ## Implementation Examples
 
@@ -70,35 +165,40 @@ Used for basic authentication checks (is user logged in?).
 In `App.tsx`:
 ```tsx
 <Route path="/products" element={
-  <Protected page="products" fallback={<Navigate to="/" />}>
+  <PermissionProtectedRoute page="products">
     <Products />
-  </Protected>
+  </PermissionProtectedRoute>
 } />
 ```
 
 ### Component Level Protection
 
 ```tsx
-<Protected permission="edit:products">
-  <form>
-    {/* Form fields */}
-    <button type="submit">Save Changes</button>
-  </form>
-</Protected>
+const { hasPermission } = usePermissions();
+
+function handleAction() {
+  if (!hasPermission('settings:user_management')) {
+    toast.error("You don't have permission");
+    return;
+  }
+  // Action logic
+}
 ```
 
-### Button Protection
+### UI Element Protection
 
 ```tsx
-<Button 
-  onClick={handleDelete}
-  disabled={!hasPermission('delete:products')}
->
-  Delete
-</Button>
-
-// With Protected component
-<Protected permission="delete:products" fallback={null}>
-  <Button onClick={handleDelete}>Delete</Button>
-</Protected>
+<PermissionGuard permission="settings:user_management">
+  <button onClick={handleManageUsers}>
+    Manage Users
+  </button>
+</PermissionGuard>
 ```
+
+## Notes
+
+- **Page Access**: These permissions control which pages a user can navigate to
+- **Settings Access**: These permissions control access to different sections within the Settings page
+- **Admin Features**: Special permissions for administrative functions
+- **CRUD Operations**: The application currently focuses on viewing and managing data rather than creating/editing/deleting individual records
+- **User Management**: User CRUD operations are handled through the settings interface rather than dedicated user management pages 

inventory/src/components/chat/ChatRoom.tsx

@@ -0,0 +1,557 @@
+import { useState, useEffect, useRef } from 'react';
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+import { Button } from '@/components/ui/button';
+import { Avatar, AvatarFallback, AvatarImage } from '@/components/ui/avatar';
+import { Loader2, Hash, MessageSquare, ChevronUp, Search, ExternalLink, FileText, Image, Download, MessageCircle, Users2 } from 'lucide-react';
+import { Input } from '@/components/ui/input';
+import config from '@/config';
+import { convertEmojiShortcodes } from '@/utils/emojiUtils';
+
+interface Message {
+  id: number;
+  msg: string;
+  ts: string;
+  u: {
+    _id: string;
+    username: string;
+    name?: string;
+  };
+  _updatedat: string;
+  urls?: any[];
+  mentions?: any[];
+  md?: any[];
+  attachments?: {
+    id: number;
+    mongo_id: string;
+    name: string;
+    size: number;
+    type: string;
+    url: string;
+    path: string;
+    typegroup: string;
+    identify?: {
+      size?: { width: number; height: number };
+      format?: string;
+    };
+  }[];
+}
+
+interface Room {
+  id: number;
+  name: string;
+  fname: string;
+  type: string;
+  msgs: number;
+  last_message_date: string;
+  display_name: string;
+  description?: string;
+  teamid?: string;
+  participants?: { username: string; name: string }[];
+}
+
+interface ChatRoomProps {
+  roomId: string;
+  selectedUserId: string;
+}
+
+export function ChatRoom({ roomId, selectedUserId }: ChatRoomProps) {
+  const [room, setRoom] = useState<Room | null>(null);
+  const [messages, setMessages] = useState<Message[]>([]);
+  const [loading, setLoading] = useState(false);
+  const [loadingMore, setLoadingMore] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+  const [hasMore, setHasMore] = useState(true);
+  const [searchQuery, setSearchQuery] = useState('');
+  const [showSearch, setShowSearch] = useState(false);
+  
+  const messagesEndRef = useRef<HTMLDivElement>(null);
+  const messagesContainerRef = useRef<HTMLDivElement>(null);
+
+  const scrollToBottom = () => {
+    messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
+  };
+
+  const fetchRoom = async () => {
+    try {
+      const response = await fetch(`${config.chatUrl}/rooms/${roomId}?userId=${selectedUserId}`);
+      const data = await response.json();
+      
+      if (data.status === 'success') {
+        setRoom(data.room);
+      } else {
+        throw new Error(data.error || 'Failed to fetch room');
+      }
+    } catch (err) {
+      console.error('Error fetching room:', err);
+      setError(err instanceof Error ? err.message : 'An error occurred');
+    }
+  };
+
+  const fetchMessages = async (before?: string, append = false) => {
+    if (!append) setLoading(true);
+    else setLoadingMore(true);
+    
+    try {
+      const params = new URLSearchParams({
+        limit: '50',
+        offset: append ? messages.length.toString() : '0'
+      });
+      
+      if (before) {
+        params.set('before', before);
+      }
+      
+      const response = await fetch(`${config.chatUrl}/rooms/${roomId}/messages?${params}`);
+      const data = await response.json();
+      
+      if (data.status === 'success') {
+        const newMessages = data.messages;
+        
+        if (append) {
+          // Prepend older messages
+          setMessages(prev => [...newMessages, ...prev]);
+          setHasMore(newMessages.length === 50);
+        } else {
+          setMessages(newMessages);
+          setHasMore(newMessages.length === 50);
+          // Scroll to bottom on initial load
+          setTimeout(scrollToBottom, 100);
+        }
+        
+        // Load attachments for these messages in the background (non-blocking)
+        if (newMessages.length > 0) {
+          loadAttachments(newMessages.map((m: Message) => m.id));
+        }
+      } else {
+        throw new Error(data.error || 'Failed to fetch messages');
+      }
+    } catch (err) {
+      console.error('Error fetching messages:', err);
+      setError(err instanceof Error ? err.message : 'An error occurred');
+    } finally {
+      setLoading(false);
+      setLoadingMore(false);
+    }
+  };
+
+  const loadAttachments = async (messageIds: number[]) => {
+    try {
+      const response = await fetch(`${config.chatUrl}/messages/attachments`, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+        body: JSON.stringify({ messageIds }),
+      });
+      
+      const data = await response.json();
+      
+      if (data.status === 'success' && data.attachments) {
+        // Update messages with their attachments
+        setMessages(prevMessages => 
+          prevMessages.map(msg => ({
+            ...msg,
+            attachments: data.attachments[msg.id] || []
+          }))
+        );
+      }
+    } catch (err) {
+      console.error('Error loading attachments:', err);
+      // Don't show error to user for attachments - messages are already displayed
+    }
+  };
+
+  const loadMoreMessages = () => {
+    if (messages.length > 0 && hasMore && !loadingMore) {
+      const oldestMessage = messages[0];
+      fetchMessages(oldestMessage.ts, true);
+    }
+  };
+
+  const searchMessages = async () => {
+    if (!searchQuery || searchQuery.length < 2) return;
+    
+    try {
+      const response = await fetch(
+        `${config.chatUrl}/users/${selectedUserId}/search?q=${encodeURIComponent(searchQuery)}&limit=20`
+      );
+      const data = await response.json();
+      
+      if (data.status === 'success') {
+        // Handle search results
+      }
+    } catch (err) {
+      console.error('Error searching messages:', err);
+    }
+  };
+
+  useEffect(() => {
+    if (roomId && selectedUserId) {
+      setMessages([]);
+      setError(null);
+      setHasMore(true);
+      fetchRoom();
+      fetchMessages();
+    }
+  }, [roomId, selectedUserId]);
+
+  const getRoomIcon = (room: Room) => {
+    switch (room.type) {
+      case 'c':
+        return <Hash className="h-4 w-4 text-blue-500" />;
+      case 'p':
+        // Distinguish between teams and discussions based on teamid
+        if (room.teamid) {
+          return <Users2 className="h-4 w-4 text-purple-500" />; // Teams
+        } else {
+          return <MessageCircle className="h-4 w-4 text-orange-500" />; // Discussions
+        }
+      case 'd':
+        return <MessageSquare className="h-4 w-4 text-green-500" />;
+      default:
+        return <Hash className="h-4 w-4 text-gray-500" />;
+    }
+  };
+
+  const formatTime = (timestamp: string) => {
+    // The stored timestamps are actually in Eastern Time but labeled as UTC
+    // We need to compensate by treating them as UTC and then converting back to Eastern
+    const originalDate = new Date(timestamp);
+    
+    // Subtract 4 hours to compensate for the EDT offset (adjust to 5 hours for EST months)
+    // This assumes the original data was incorrectly stored as UTC when it was actually EDT/EST
+    const isDST = (date: Date) => {
+      const jan = new Date(date.getFullYear(), 0, 1);
+      const jul = new Date(date.getFullYear(), 6, 1);
+      return date.getTimezoneOffset() < Math.max(jan.getTimezoneOffset(), jul.getTimezoneOffset());
+    };
+    
+    // Determine if the timestamp falls in DST period for Eastern Time
+    const offsetHours = isDST(originalDate) ? 4 : 5; // EDT = UTC-4, EST = UTC-5
+    const correctedDate = new Date(originalDate.getTime() - (offsetHours * 60 * 60 * 1000));
+    
+    const now = new Date();
+    const timeZone = 'America/New_York';
+    
+    // Compare dates in Eastern Time to ensure correct "today" detection
+    const dateInET = correctedDate.toLocaleDateString([], { timeZone });
+    const nowInET = now.toLocaleDateString([], { timeZone });
+    const isToday = dateInET === nowInET;
+    
+    if (isToday) {
+      return correctedDate.toLocaleTimeString([], { 
+        hour: '2-digit', 
+        minute: '2-digit',
+        timeZone 
+      });
+    } else {
+      return correctedDate.toLocaleDateString([], { timeZone }) + ' ' + correctedDate.toLocaleTimeString([], { 
+        hour: '2-digit', 
+        minute: '2-digit',
+        timeZone 
+      });
+    }
+  };
+
+  const renderMessageText = (text: string, urls?: any[]) => {
+    if (!text) return '';
+    
+    // First, convert emoji shortcodes to actual emoji
+    let processedText = convertEmojiShortcodes(text);
+    
+    // Then, handle markdown links [text](url) and convert them to HTML
+    processedText = processedText.replace(
+      /\[([^\]]+)\]\((https?:\/\/[^\s\)]+)\)/g,
+      '<a href="$2" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:underline">$1</a>'
+    );
+    
+    // If we have URL previews, replace standalone URLs (that aren't already in markdown) with just the preview
+    if (urls && urls.length > 0) {
+      urls.forEach((urlData) => {
+        // Only replace standalone URLs that aren't part of markdown links
+        const standaloneUrlRegex = new RegExp(`(?<!\\]\\()${urlData.url.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}(?!\\))`, 'g');
+        processedText = processedText.replace(standaloneUrlRegex, '');
+      });
+    }
+    
+    return <span dangerouslySetInnerHTML={{ __html: processedText }} />;
+  };
+
+  const renderURLPreviews = (urls: any[]) => {
+    if (!urls || urls.length === 0) return null;
+    
+    return (
+      <div className="mt-2 space-y-2">
+        {urls.map((urlData, index) => (
+          <div key={index} className="border rounded-lg p-3 bg-gray-50">
+            <div className="flex items-start gap-2">
+              <ExternalLink className="h-4 w-4 mt-1 text-blue-500 flex-shrink-0" />
+              <div className="min-w-0 flex-1">
+                <a 
+                  href={urlData.url} 
+                  target="_blank" 
+                  rel="noopener noreferrer"
+                  className="text-blue-600 hover:underline text-sm break-all"
+                >
+                  {urlData.meta?.pageTitle || urlData.url}
+                </a>
+                {urlData.meta?.ogDescription && (
+                  <div className="text-xs text-muted-foreground mt-1">{urlData.meta.ogDescription}</div>
+                )}
+              </div>
+            </div>
+          </div>
+        ))}
+      </div>
+    );
+  };
+
+    const renderAttachments = (attachments: any[]) => {
+    if (!attachments || attachments.length === 0) return null;
+    
+    // Filter out thumbnail attachments (they're usually lower quality versions)
+    const filteredAttachments = attachments.filter(attachment => 
+      !attachment.name?.toLowerCase().startsWith('thumb-')
+    );
+    
+    if (filteredAttachments.length === 0) return null;
+    
+    return (
+      <div className="mt-2 space-y-2">
+        {filteredAttachments.map((attachment, index) => {
+          const isImage = attachment.typegroup === 'image';
+          const filePath = `${config.chatUrl}/files/by-id/${attachment.mongo_id}`;
+          
+          const handleDownload = () => {
+            // Create a temporary anchor element to trigger download
+            const link = document.createElement('a');
+            link.href = filePath;
+            link.download = attachment.name || 'download';
+            link.target = '_blank';
+            document.body.appendChild(link);
+            link.click();
+            document.body.removeChild(link);
+          };
+          
+          return (
+            <div key={index} className="border rounded-lg p-3 bg-gray-50">
+              <div className="flex items-center gap-2">
+                {isImage ? (
+                  <Image className="h-4 w-4 text-green-500" />
+                ) : (
+                  <FileText className="h-4 w-4 text-blue-500" />
+                )}
+                <div className="flex-1 min-w-0">
+                  <div className="font-medium text-sm truncate">{attachment.name}</div>
+                  <div className="text-xs text-muted-foreground">
+                    {(attachment.size / 1024).toFixed(1)} KB
+                    {attachment.identify?.size && (
+                      <span> • {attachment.identify.size.width}×{attachment.identify.size.height}</span>
+                    )}
+                  </div>
+                </div>
+                <Button variant="ghost" size="sm" onClick={handleDownload}>
+                  <Download className="h-4 w-4" />
+                </Button>
+              </div>
+              {isImage && attachment.identify?.size && (
+                <div className="mt-2">
+                  <img 
+                    src={filePath}
+                    alt={attachment.name}
+                    className="max-w-xs max-h-48 rounded border cursor-pointer"
+                    loading="lazy"
+                    onClick={() => window.open(filePath, '_blank')}
+                  />
+                </div>
+              )}
+            </div>
+          );
+        })}
+      </div>
+    );
+  };
+
+  const renderMentions = (text: string, mentions: any[]) => {
+    if (!mentions || mentions.length === 0) return text;
+    
+    // First, convert emoji shortcodes to actual emoji
+    let renderedText = convertEmojiShortcodes(text);
+    
+    // Then process mentions
+    mentions.forEach((mention) => {
+      if (mention.username) {
+        const mentionPattern = new RegExp(`@${mention.username}`, 'g');
+        renderedText = renderedText.replace(
+          mentionPattern, 
+          `<span class="bg-blue-100 text-blue-800 px-1 rounded">@${mention.username}</span>`
+        );
+      }
+    });
+    
+    return <span dangerouslySetInnerHTML={{ __html: renderedText }} />;
+  };
+
+  const renderMessage = (message: Message, index: number) => {
+    const prevMessage = index > 0 ? messages[index - 1] : null;
+    const isConsecutive = prevMessage && 
+      prevMessage.u.username === message.u.username &&
+      new Date(message.ts).getTime() - new Date(prevMessage.ts).getTime() < 300000; // 5 minutes
+
+    return (
+      <div key={message.id} className={`${isConsecutive ? 'mt-1' : 'mt-4'}`}>
+        {!isConsecutive && (
+          <div className="flex items-center gap-2 mb-1">
+            <Avatar className="h-8 w-8">
+              <AvatarImage 
+                src={`${config.chatUrl}/avatar/${message.u._id}`}
+                alt={message.u.name || message.u.username}
+              />
+              <AvatarFallback className="text-sm font-medium">
+                {(message.u.name || message.u.username).charAt(0).toUpperCase()}
+              </AvatarFallback>
+            </Avatar>
+            <span className="font-medium text-sm">
+              {message.u.name || message.u.username}
+            </span>
+            <span className="text-xs text-muted-foreground">
+              {formatTime(message.ts)}
+            </span>
+          </div>
+        )}
+        <div className={`${isConsecutive ? 'ml-10' : 'ml-10'} text-sm`}>
+          <div className="break-words">
+            {message.mentions && message.mentions.length > 0 
+              ? renderMentions(message.msg, message.mentions)
+              : renderMessageText(message.msg, message.urls)
+            }
+          </div>
+          {message.urls && renderURLPreviews(message.urls)}
+          {message.attachments && renderAttachments(message.attachments)}
+        </div>
+      </div>
+    );
+  };
+
+  if (!roomId) {
+    return (
+      <Card className="h-full">
+        <CardContent className="flex items-center justify-center h-full">
+          <p className="text-muted-foreground">Select a room to view messages</p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (loading && messages.length === 0) {
+    return (
+      <Card className="h-full">
+        <CardContent className="flex items-center justify-center h-full">
+          <div className="flex items-center gap-2">
+            <Loader2 className="h-4 w-4 animate-spin" />
+            <span>Loading messages...</span>
+          </div>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (error) {
+    return (
+      <Card className="h-full border-red-200 bg-red-50">
+        <CardContent className="flex items-center justify-center h-full">
+          <p className="text-red-700">{error}</p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  return (
+    <Card className="h-full flex flex-col">
+      <CardHeader className="border-b p-4">
+        <div className="flex items-center justify-between">
+          <div className="flex items-center gap-3">
+            {room && getRoomIcon(room)}
+            <div>
+              <CardTitle className="text-lg">
+                {room?.type === 'd' 
+                  ? `Direct message with ${room?.display_name || 'Unknown User'}`
+                  : room?.display_name || room?.fname || room?.name || 'Unnamed Room'
+                }
+              </CardTitle>
+              {room?.description && room?.type !== 'd' && (
+                <p className="text-sm text-muted-foreground">{room.description}</p>
+              )}
+              {/* Only show participants for non-direct messages since DM names are already in the title */}
+              {room?.participants && room.participants.length > 0 && room?.type !== 'd' && (
+                <p className="text-xs text-muted-foreground">
+                  {room.participants.map(p => p.name || p.username).join(', ')}
+                </p>
+              )}
+            </div>
+          </div>
+          
+          <div className="flex items-center gap-2">
+            <Button
+              variant="outline"
+              size="sm"
+              onClick={() => setShowSearch(!showSearch)}
+            >
+              <Search className="h-4 w-4" />
+            </Button>
+           
+          </div>
+        </div>
+        
+        {showSearch && (
+          <div className="flex gap-2 mt-2">
+            <Input
+              placeholder="Search messages..."
+              value={searchQuery}
+              onChange={(e) => setSearchQuery(e.target.value)}
+              onKeyPress={(e) => e.key === 'Enter' && searchMessages()}
+            />
+            <Button onClick={searchMessages} size="sm">Search</Button>
+          </div>
+        )}
+      </CardHeader>
+      
+      <CardContent className="flex-1 p-0 overflow-hidden">
+        <div 
+          ref={messagesContainerRef}
+          className="h-full overflow-y-auto p-4"
+        >
+          {hasMore && messages.length > 0 && (
+            <div className="text-center mb-4">
+              <Button
+                variant="outline"
+                size="sm"
+                onClick={loadMoreMessages}
+                disabled={loadingMore}
+              >
+                {loadingMore ? (
+                  <Loader2 className="h-4 w-4 animate-spin mr-2" />
+                ) : (
+                  <ChevronUp className="h-4 w-4 mr-2" />
+                )}
+                Load older messages
+              </Button>
+            </div>
+          )}
+          
+          {messages.length === 0 ? (
+            <div className="text-center text-muted-foreground">
+              No messages in this room
+            </div>
+          ) : (
+            <div className="space-y-1">
+              {messages.map((message, index) => renderMessage(message, index))}
+            </div>
+          )}
+          
+          <div ref={messagesEndRef} />
+        </div>
+      </CardContent>
+    </Card>
+  );
+} 

inventory/src/components/chat/ChatTest.tsx

@@ -0,0 +1,177 @@
+import { useState, useEffect } from 'react';
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+import { Badge } from '@/components/ui/badge';
+import { Loader2, Hash, Lock, Users, MessageSquare } from 'lucide-react';
+import config from '@/config';
+
+interface Room {
+  id: number;
+  name: string;
+  fname: string;
+  type: string;
+  msgs: number;
+  last_message_date: string;
+}
+
+interface ChatTestProps {
+  selectedUserId: string;
+}
+
+export function ChatTest({ selectedUserId }: ChatTestProps) {
+  const [rooms, setRooms] = useState<Room[]>([]);
+  const [loading, setLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+
+  useEffect(() => {
+    if (!selectedUserId) {
+      setRooms([]);
+      return;
+    }
+
+    const fetchUserRooms = async () => {
+      setLoading(true);
+      setError(null);
+      
+      try {
+        const response = await fetch(`${config.chatUrl}/users/${selectedUserId}/rooms`);
+        const data = await response.json();
+        
+        if (data.status === 'success') {
+          setRooms(data.rooms);
+        } else {
+          throw new Error(data.error || 'Failed to fetch rooms');
+        }
+      } catch (err) {
+        console.error('Error fetching user rooms:', err);
+        setError(err instanceof Error ? err.message : 'An error occurred');
+      } finally {
+        setLoading(false);
+      }
+    };
+
+    fetchUserRooms();
+  }, [selectedUserId]);
+
+  const getRoomIcon = (roomType: string) => {
+    switch (roomType) {
+      case 'c':
+        return <Hash className="h-4 w-4 text-blue-500" />;
+      case 'p':
+        return <Lock className="h-4 w-4 text-orange-500" />;
+      case 'd':
+        return <MessageSquare className="h-4 w-4 text-green-500" />;
+      default:
+        return <Users className="h-4 w-4 text-gray-500" />;
+    }
+  };
+
+  const getRoomTypeLabel = (roomType: string) => {
+    switch (roomType) {
+      case 'c':
+        return 'Channel';
+      case 'p':
+        return 'Private';
+      case 'd':
+        return 'Direct';
+      default:
+        return 'Unknown';
+    }
+  };
+
+  if (!selectedUserId) {
+    return (
+      <Card>
+        <CardHeader>
+          <CardTitle>Database Connection Test</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-muted-foreground">
+            Select a user from the dropdown above to view their rooms and test the database connection.
+          </p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (loading) {
+    return (
+      <Card>
+        <CardHeader>
+          <CardTitle>Loading User Rooms...</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <div className="flex items-center gap-2">
+            <Loader2 className="h-4 w-4 animate-spin" />
+            <span>Fetching rooms for selected user...</span>
+          </div>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (error) {
+    return (
+      <Card className="border-red-200 bg-red-50">
+        <CardHeader>
+          <CardTitle className="text-red-800">Error Loading Rooms</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-red-700">{error}</p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  return (
+    <Card>
+      <CardHeader>
+        <CardTitle>User Rooms ({rooms.length})</CardTitle>
+        <p className="text-sm text-muted-foreground">
+          Rooms accessible to the selected user
+        </p>
+      </CardHeader>
+      <CardContent>
+        {rooms.length === 0 ? (
+          <p className="text-muted-foreground">No rooms found for this user.</p>
+        ) : (
+          <div className="space-y-2">
+            {rooms.map((room) => (
+              <div
+                key={room.id}
+                className="flex items-center justify-between p-3 border rounded-lg hover:bg-gray-50"
+              >
+                <div className="flex items-center gap-3">
+                  {getRoomIcon(room.type)}
+                  <div>
+                    <div className="font-medium">
+                      {room.fname || room.name || 'Unnamed Room'}
+                    </div>
+                    <div className="text-sm text-muted-foreground">
+                      {room.name && room.fname !== room.name && (
+                        <span className="font-mono">#{room.name}</span>
+                      )}
+                    </div>
+                  </div>
+                </div>
+                
+                <div className="flex items-center gap-2">
+                  <Badge variant="secondary">
+                    {getRoomTypeLabel(room.type)}
+                  </Badge>
+                  <Badge variant="outline">
+                    {room.msgs} messages
+                  </Badge>
+                  {room.last_message_date && (
+                    <Badge variant="outline" className="text-xs">
+                      {new Date(room.last_message_date).toLocaleDateString()}
+                    </Badge>
+                  )}
+                </div>
+              </div>
+            ))}
+          </div>
+        )}
+      </CardContent>
+    </Card>
+  );
+} 

inventory/src/components/chat/RoomList.tsx

@@ -0,0 +1,330 @@
+import React, { useState, useEffect } from 'react';
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+import { Avatar, AvatarFallback, AvatarImage } from '@/components/ui/avatar';
+import { Loader2, Hash, Users, MessageSquare, MessageCircle, Users2 } from 'lucide-react';
+import config from '@/config';
+
+interface Room {
+  id: number;
+  name: string;
+  fname: string;
+  type: string;
+  msgs: number;
+  last_message_date: string;
+  display_name: string;
+  userscount?: number;
+  description?: string;
+  teamid?: string;
+  archived?: boolean;
+  open?: boolean;
+  participants?: {
+    username: string;
+    name: string;
+    mongo_id: string;
+    avataretag?: string;
+  }[];
+}
+
+interface RoomListProps {
+  selectedUserId: string;
+  selectedRoomId: string | null;
+  onRoomSelect: (roomId: string) => void;
+}
+
+export function RoomList({ selectedUserId, selectedRoomId, onRoomSelect }: RoomListProps) {
+  const [rooms, setRooms] = useState<Room[]>([]);
+  const [filteredRooms, setFilteredRooms] = useState<Room[]>([]);
+  const [loading, setLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+  const [searchFilter] = useState('');
+
+  useEffect(() => {
+    if (!selectedUserId) {
+      setRooms([]);
+      setFilteredRooms([]);
+      return;
+    }
+
+    const fetchUserRooms = async () => {
+      setLoading(true);
+      setError(null);
+      
+      try {
+        const response = await fetch(`${config.chatUrl}/users/${selectedUserId}/rooms`);
+        const data = await response.json();
+        
+        if (data.status === 'success') {
+          setRooms(data.rooms);
+          setFilteredRooms(data.rooms);
+        } else {
+          throw new Error(data.error || 'Failed to fetch rooms');
+        }
+      } catch (err) {
+        console.error('Error fetching user rooms:', err);
+        setError(err instanceof Error ? err.message : 'An error occurred');
+      } finally {
+        setLoading(false);
+      }
+    };
+
+    fetchUserRooms();
+  }, [selectedUserId]);
+
+  useEffect(() => {
+    if (!searchFilter) {
+      setFilteredRooms(rooms);
+    } else {
+      const filtered = rooms.filter(room => 
+        (room.display_name?.toLowerCase() || '').includes(searchFilter.toLowerCase()) ||
+        (room.name?.toLowerCase() || '').includes(searchFilter.toLowerCase()) ||
+        (room.fname?.toLowerCase() || '').includes(searchFilter.toLowerCase())
+      );
+      setFilteredRooms(filtered);
+    }
+  }, [searchFilter, rooms]);
+
+  const groupRoomsByType = (rooms: Room[]) => {
+    const teams: Room[] = [];
+    const discussions: Room[] = [];
+    const channels: Room[] = [];
+    const directMessages: Room[] = [];
+
+    rooms.forEach(room => {
+      switch (room.type) {
+        case 'p':
+          if (room.teamid) {
+            teams.push(room);
+          } else {
+            discussions.push(room);
+          }
+          break;
+        case 'c':
+          channels.push(room);
+          break;
+        case 'd':
+          directMessages.push(room);
+          break;
+        default:
+          channels.push(room); // fallback for unknown types
+      }
+    });
+
+    // Sort each group by message count descending
+    const sortByMessages = (a: Room, b: Room) => (b.msgs || 0) - (a.msgs || 0);
+    
+    teams.sort(sortByMessages);
+    discussions.sort(sortByMessages);
+    channels.sort(sortByMessages);
+    directMessages.sort(sortByMessages);
+
+    return { teams, discussions, channels, directMessages };
+  };
+
+  const renderRoomIcon = (room: Room) => {
+    // For direct messages, show participant avatars
+    if (room.type === 'd' && room.participants && room.participants.length > 0) {
+      if (room.participants.length === 1) {
+        // Single participant - show their avatar
+        const participant = room.participants[0];
+        return (
+          <Avatar className="h-10 w-10">
+            <AvatarImage 
+              src={`${config.chatUrl}/avatar/${participant.mongo_id}`}
+              alt={participant.name || participant.username}
+            />
+            <AvatarFallback className="text-lg">
+              {(participant.name || participant.username).charAt(0).toUpperCase()}
+            </AvatarFallback>
+          </Avatar>
+        );
+      } else {
+        // Multiple participants - show overlapping avatars
+        return (
+          <div className="relative flex items-center h-10 w-10">
+            {room.participants.slice(0, 3).map((participant, index) => (  
+              <Avatar 
+                key={participant.mongo_id} 
+                className={`h-8 w-8 border-2 border-white ${index > 0 ? '-ml-4' : ''}`}
+                style={{ zIndex: 30 - index }}
+              >
+                <AvatarImage 
+                  src={`${config.chatUrl}/avatar/${participant.mongo_id}`}
+                  alt={participant.name || participant.username}
+                />
+                <AvatarFallback className="text-lg">
+                  {(participant.name || participant.username).charAt(0).toUpperCase()}
+                </AvatarFallback>
+              </Avatar>
+            ))}
+          </div>
+        );
+      }
+    }
+
+    // For other room types, use icons
+    switch (room.type) {
+      case 'c':
+        return (
+          <div className="h-10 w-10 bg-blue-50 rounded-full flex items-center justify-center">
+            <Hash className="h-6 w-6 text-blue-500" />
+          </div>
+        );
+      case 'p':
+        // Distinguish between teams and discussions based on teamid
+        if (room.teamid) {
+          return (
+            <div className="h-10 w-10 bg-purple-50 rounded-full flex items-center justify-center">
+              <Users2 className="h-6 w-6 text-purple-500" />
+            </div>
+          ); // Teams
+        } else {
+          return (
+            <div className="h-10 w-10 bg-orange-50 rounded-full flex items-center justify-center">
+              <MessageCircle className="h-6 w-6 text-orange-500" />
+            </div>
+          ); // Discussions
+        }
+      case 'd':
+        return (
+          <div className="h-12 w-12 bg-green-50 rounded-full flex items-center justify-center">
+            <MessageSquare className="h-6 w-6 text-green-500" />
+          </div>
+        );
+      default:
+        return (
+          <div className="h-12 w-12 bg-gray-50 rounded-full flex items-center justify-center">
+            <Users className="h-6 w-6 text-gray-500" />
+          </div>
+        );
+    }
+  };
+
+  if (!selectedUserId) {
+    return (
+      <Card className="h-full">
+        <CardHeader>
+          <CardTitle>Rooms</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-muted-foreground text-sm">
+            Select a user from the dropdown above to view their rooms.
+          </p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (loading) {
+    return (
+      <Card className="h-full">
+        <CardHeader>
+          <CardTitle>Loading Rooms...</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <div className="flex items-center gap-2">
+            <Loader2 className="h-4 w-4 animate-spin" />
+            <span className="text-sm">Fetching rooms for selected user...</span>
+          </div>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (error) {
+    return (
+      <Card className="h-full border-red-200 bg-red-50">
+        <CardHeader>
+          <CardTitle className="text-red-800">Error Loading Rooms</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <p className="text-red-700 text-sm">{error}</p>
+        </CardContent>
+      </Card>
+    );
+  }
+
+  return (
+    <Card className="h-full flex flex-col">
+      <CardHeader className="pb-3">
+        <CardTitle className="text-lg">Rooms</CardTitle>
+      </CardHeader>
+      
+      <CardContent className="flex-1 p-0 overflow-hidden">
+        <div className="h-full overflow-y-auto">
+          {filteredRooms.length === 0 ? (
+            <div className="p-4">
+              <p className="text-muted-foreground text-sm">
+                {searchFilter ? 'No rooms match your search.' : 'No rooms found for this user.'}
+              </p>
+            </div>
+          ) : (
+            <div className="space-y-3 px-2 pb-4">
+              {(() => {
+                const { teams, discussions, channels, directMessages } = groupRoomsByType(filteredRooms);
+                
+                const renderRoomGroup = (title: string, rooms: Room[], icon: React.ReactNode) => {
+                  if (rooms.length === 0) return null;
+                  
+                  return (
+                    <div key={title} className="space-y-0.5">
+                      <div className="flex items-center gap-2 px-2 py-1 border-b border-gray-100">
+                        {icon}
+                        <h3 className="text-xs font-semibold text-muted-foreground uppercase tracking-wide">
+                          {title} ({rooms.length})
+                        </h3>
+                      </div>
+                      <div className="space-y-0.5">
+                        {rooms.map((room) => (
+                          <div
+                            key={room.id}
+                            onClick={() => onRoomSelect(room.id.toString())}
+                            className={`
+                              flex items-center justify-between py-0.5 px-3 rounded-lg cursor-pointer transition-colors
+                              hover:bg-gray-100 
+                              ${selectedRoomId === room.id.toString() ? 'bg-blue-50 border-l-4 border-blue-500' : ''}
+                              ${(room.open === false || room.archived === true) ? 'opacity-60' : ''}
+                            `}
+                          >
+                                                        <div className="grid grid-cols-4 items-center gap-2 min-w-0 flex-1">
+                              {renderRoomIcon(room)}
+                              <div className="min-w-0 flex-1 col-span-3">
+                                <div className="flex items-center justify-between">
+                                  <div className={`font-medium text-sm truncate ${(room.open === false || room.archived === true) ? 'text-muted-foreground' : ''}`}>
+                                    {room.display_name || room.fname || room.name || 'Unnamed Room'}
+                                  </div>
+                                  {room.msgs > 0 && (
+                                    <span className="text-xs text-muted-foreground ml-2 flex-shrink-0">
+                                      {room.msgs} msgs
+                                    </span>
+                                  )}
+                                </div>
+                                {room.description && (
+                                  <div className="text-xs text-muted-foreground truncate">
+                                    {room.description}
+                                  </div>
+                                )}
+                              </div>
+                            </div>
+                          </div>
+                        ))}
+                      </div>
+                    </div>
+                  );
+                };
+
+                return (
+                  <>
+                    {renderRoomGroup('Teams', teams, <Users2 className="h-3 w-3 text-purple-500" />)}
+                    {renderRoomGroup('Discussions', discussions, <MessageCircle className="h-3 w-3 text-orange-500" />)}
+                    {renderRoomGroup('Channels', channels, <Hash className="h-3 w-3 text-blue-500" />)}
+                    {renderRoomGroup('Direct Messages', directMessages, <MessageSquare className="h-3 w-3 text-green-500" />)}
+                  </>
+                );
+              })()}
+            </div>
+          )}
+        </div>
+      </CardContent>
+    </Card>
+  );
+} 

inventory/src/components/chat/SearchResults.tsx

@@ -0,0 +1,116 @@
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+import { Badge } from '@/components/ui/badge';
+import { Button } from '@/components/ui/button';
+import { Hash, Lock, MessageSquare, X } from 'lucide-react';
+import { convertEmojiShortcodes } from '@/utils/emojiUtils';
+
+interface SearchResult {
+  id: number;
+  msg: string;
+  ts: string;
+  u: {
+    username: string;
+    name?: string;
+  };
+  room_id: number;
+  room_name: string;
+  room_fname: string;
+  room_type: string;
+}
+
+interface SearchResultsProps {
+  results: SearchResult[];
+  query: string;
+  onClose: () => void;
+  onRoomSelect: (roomId: string) => void;
+}
+
+export function SearchResults({ results, query, onClose, onRoomSelect }: SearchResultsProps) {
+  const getRoomIcon = (roomType: string) => {
+    switch (roomType) {
+      case 'c':
+        return <Hash className="h-3 w-3 text-blue-500" />;
+      case 'p':
+        return <Lock className="h-3 w-3 text-orange-500" />;
+      case 'd':
+        return <MessageSquare className="h-3 w-3 text-green-500" />;
+      default:
+        return <Hash className="h-3 w-3 text-gray-500" />;
+    }
+  };
+
+  const highlightText = (text: string, query: string) => {
+    if (!query) return convertEmojiShortcodes(text);
+    
+    // First convert emoji shortcodes
+    const textWithEmoji = convertEmojiShortcodes(text);
+    
+    const regex = new RegExp(`(${query})`, 'gi');
+    const parts = textWithEmoji.split(regex);
+    
+    return parts.map((part, index) => 
+      regex.test(part) ? (
+        <span key={index} className="bg-yellow-200 font-medium">
+          {part}
+        </span>
+      ) : (
+        part
+      )
+    );
+  };
+
+  const formatTime = (timestamp: string) => {
+    const date = new Date(timestamp);
+    return date.toLocaleDateString() + ' ' + date.toLocaleTimeString([], { 
+      hour: '2-digit', 
+      minute: '2-digit' 
+    });
+  };
+
+  return (
+    <Card className="absolute top-full left-0 right-0 z-10 mt-2 max-h-96 overflow-y-auto">
+      <CardHeader className="flex flex-row items-center justify-between space-y-0 pb-2">
+        <CardTitle className="text-sm">
+          Search Results for "{query}" ({results.length})
+        </CardTitle>
+        <Button variant="ghost" size="sm" onClick={onClose}>
+          <X className="h-4 w-4" />
+        </Button>
+      </CardHeader>
+      <CardContent className="pt-0">
+        {results.length === 0 ? (
+          <p className="text-sm text-muted-foreground">No messages found matching your search.</p>
+        ) : (
+          <div className="space-y-3">
+            {results.map((result) => (
+              <div 
+                key={result.id}
+                className="border rounded-lg p-3 hover:bg-gray-50 cursor-pointer"
+                onClick={() => {
+                  onRoomSelect(result.room_id.toString());
+                  onClose();
+                }}
+              >
+                <div className="flex items-center gap-2 mb-2">
+                  {getRoomIcon(result.room_type)}
+                  <span className="text-sm font-medium">
+                    {result.room_fname || result.room_name || 'Unnamed Room'}
+                  </span>
+                  <Badge variant="outline" className="text-xs">
+                    {result.u.name || result.u.username}
+                  </Badge>
+                  <span className="text-xs text-muted-foreground ml-auto">
+                    {formatTime(result.ts)}
+                  </span>
+                </div>
+                <div className="text-sm">
+                  {highlightText(result.msg, query)}
+                </div>
+              </div>
+            ))}
+          </div>
+        )}
+      </CardContent>
+    </Card>
+  );
+} 

inventory/src/components/config.ts

@@ -0,0 +1,7 @@
+const config = {
+  // API base URL - update based on your actual API endpoint
+  apiUrl: '/api',
+  // Add other config values as needed
+};
+
+export default config; 

inventory/src/components/dashboard/AcotTest.jsx

@@ -0,0 +1,133 @@
+import React, { useState, useEffect } from "react";
+import axios from "axios";
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/dashboard/ui/card";
+import { Button } from "@/components/dashboard/ui/button";
+import { Alert, AlertDescription, AlertTitle } from "@/components/dashboard/ui/alert";
+import { Loader2, AlertCircle, CheckCircle, RefreshCw } from "lucide-react";
+
+const AcotTest = () => {
+  const [loading, setLoading] = useState(false);
+  const [error, setError] = useState(null);
+  const [data, setData] = useState(null);
+  const [connectionStatus, setConnectionStatus] = useState(null);
+
+  const testConnection = async () => {
+    setLoading(true);
+    setError(null);
+    try {
+      const response = await axios.get("/api/acot/test/test-connection");
+      setConnectionStatus(response.data);
+    } catch (err) {
+      setError(err.response?.data?.error || err.message);
+      setConnectionStatus(null);
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  const fetchOrderCount = async () => {
+    setLoading(true);
+    setError(null);
+    try {
+      const response = await axios.get("/api/acot/test/order-count");
+      setData(response.data.data);
+    } catch (err) {
+      setError(err.response?.data?.error || err.message);
+      setData(null);
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  useEffect(() => {
+    testConnection();
+  }, []);
+
+  return (
+    <Card className="w-full max-w-md">
+      <CardHeader>
+        <CardTitle className="flex items-center justify-between">
+          ACOT Server Test
+          <Button
+            size="icon"
+            variant="outline"
+            onClick={() => {
+              testConnection();
+              if (connectionStatus?.success) {
+                fetchOrderCount();
+              }
+            }}
+            disabled={loading}
+          >
+            {loading ? (
+              <Loader2 className="h-4 w-4 animate-spin" />
+            ) : (
+              <RefreshCw className="h-4 w-4" />
+            )}
+          </Button>
+        </CardTitle>
+      </CardHeader>
+      <CardContent className="space-y-4">
+        {/* Connection Status */}
+        <div className="space-y-2">
+          <h3 className="text-sm font-medium">Connection Status</h3>
+          {connectionStatus?.success ? (
+            <Alert className="bg-green-50 border-green-200">
+              <CheckCircle className="h-4 w-4 text-green-600" />
+              <AlertTitle className="text-green-800">Connected</AlertTitle>
+              <AlertDescription className="text-green-700">
+                {connectionStatus.message}
+              </AlertDescription>
+            </Alert>
+          ) : error ? (
+            <Alert variant="destructive">
+              <AlertCircle className="h-4 w-4" />
+              <AlertTitle>Connection Failed</AlertTitle>
+              <AlertDescription>{error}</AlertDescription>
+            </Alert>
+          ) : (
+            <div className="text-sm text-muted-foreground">
+              Testing connection...
+            </div>
+          )}
+        </div>
+
+        {/* Order Count */}
+        {connectionStatus?.success && (
+          <div className="space-y-2">
+            <Button
+              onClick={fetchOrderCount}
+              disabled={loading}
+              className="w-full"
+            >
+              {loading ? (
+                <>
+                  <Loader2 className="mr-2 h-4 w-4 animate-spin" />
+                  Loading...
+                </>
+              ) : (
+                "Fetch Order Count"
+              )}
+            </Button>
+
+            {data && (
+              <div className="p-4 bg-muted rounded-lg">
+                <div className="text-sm text-muted-foreground">
+                  Total Orders in Database
+                </div>
+                <div className="text-2xl font-bold">
+                  {data.orderCount?.toLocaleString()}
+                </div>
+                <div className="text-xs text-muted-foreground mt-1">
+                  Last updated: {new Date(data.timestamp).toLocaleTimeString()}
+                </div>
+              </div>
+            )}
+          </div>
+        )}
+      </CardContent>
+    </Card>
+  );
+};
+
+export default AcotTest;