Cleanup

- Improve parameter handling in incremental update queries for purchase orders and products

.gitignore

@@ -57,3 +57,4 @@ csv/**/*
 **/csv/**/*
 !csv/.gitkeep
 inventory/tsconfig.tsbuildinfo
+inventory-server/scripts/.fuse_hidden00000fa20000000a

docs/metrics-changes.md

@@ -0,0 +1,181 @@
+# Metrics System Changes
+
+## Schema Changes
+
+### Product Identifiers
+- Changed `product_id` to `pid` throughout all metrics tables and queries
+- Changed `category_id` to `cat_id` in category-related queries
+
+### Purchase Orders
+- Changed status check from `status = 'closed'` to `receiving_status >= 30`
+- Added comment `-- Partial or fully received` for clarity
+- Now using `received_date` instead of relying on status changes
+
+### New Product Fields
+- Added support for `notions_inv_count`
+- Added support for `date_last_sold`
+- Added support for `total_sold`
+- Using `visible` flag for active product counts
+
+### Field Size Updates
+- Increased size of financial fields to handle larger numbers:
+  - Changed category metrics `total_value` from `DECIMAL(10,3)` to `DECIMAL(15,3)`
+  - Changed brand metrics financial fields from `DECIMAL(10,2)` to `DECIMAL(15,2)`
+  - Affects `total_stock_cost`, `total_stock_retail`, `total_revenue`
+
+## Metrics File Changes
+
+### Product Metrics (`product-metrics.js`)
+- Updated SQL queries to use new field names
+- Enhanced stock status calculations
+- Added financial metrics:
+  - `gross_profit`
+  - `gmroi`
+  - `avg_margin_percent`
+  - `inventory_value`
+- Improved reorder quantity calculations with:
+  - Enhanced safety stock calculation
+  - Lead time consideration
+  - Service level factors
+- Added NaN/NULL value handling:
+  - Added `sanitizeValue` helper function
+  - Properly converts JavaScript NaN to SQL NULL
+  - Ensures all numeric fields have valid values
+
+### Vendor Metrics (`vendor-metrics.js`)
+- Updated field references to use `pid`
+- Modified purchase order status checks
+- Enhanced vendor performance metrics:
+  - Order fill rate calculation
+  - On-time delivery rate
+  - Lead time tracking
+
+### Category Metrics (`category-metrics.js`)
+- Updated to use `cat_id` instead of `category_id`
+- Enhanced category performance tracking:
+  - Active vs total products
+  - Category growth rate
+  - Turnover rate
+- Added time-based metrics for:
+  - Product counts
+  - Revenue tracking
+  - Margin analysis
+- Added NULL brand handling:
+  - Uses 'Unbranded' for NULL brand values
+  - Maintains data integrity in category sales metrics
+
+### Brand Metrics (`brand-metrics.js`)
+- Updated product references to use `pid`
+- Enhanced brand performance metrics:
+  - Stock value calculations
+  - Revenue tracking
+  - Growth rate analysis
+- Added time-based aggregates for:
+  - Stock levels
+  - Sales performance
+  - Margin analysis
+- Increased field sizes to handle large retailers
+
+### Sales Forecasts (`sales-forecasts.js`)
+- Updated to use new product identifiers
+- Enhanced forecast calculations:
+  - Day-of-week patterns
+  - Seasonality factors
+  - Confidence levels
+- Added category-level forecasts with:
+  - Units and revenue predictions
+  - Confidence scoring
+  - Seasonal adjustments
+
+### Time Aggregates (`time-aggregates.js`)
+- Updated field references to use `pid`
+- Enhanced financial metrics:
+  - GMROI calculations
+  - Profit margin tracking
+- Added inventory value tracking
+- Improved purchase order integration
+
+## Database Impact
+
+### Tables Modified
+- `product_metrics`
+- `vendor_metrics`
+- `vendor_time_metrics`
+- `category_metrics`
+- `category_time_metrics`
+- `brand_metrics`
+- `brand_time_metrics`
+- `sales_forecasts`
+- `category_forecasts`
+- `product_time_aggregates`
+
+### New Fields Added
+Several tables have new fields for:
+- Enhanced financial tracking
+- Improved inventory metrics
+- Better performance monitoring
+- More accurate forecasting
+
+## Frontend Considerations
+
+### Data Access Changes
+- All product lookups need to use `pid` instead of `product_id`
+- Category references should use `cat_id`
+- Purchase order status checks need updating
+- Handle 'Unbranded' as a valid brand value
+
+### New Features Available
+- Enhanced stock status indicators
+- More detailed financial metrics
+- Improved forecasting data
+- Better category and brand performance tracking
+
+### UI Updates Needed
+- Update all API calls to use new field names
+- Modify data displays for new metrics
+- Add new financial performance indicators
+- Update stock status logic
+- Enhance forecast displays
+
+## API Route Updates Needed
+
+### Product Routes
+- Update ID field references
+- Modify stock status calculations
+- Add new financial metrics endpoints
+
+### Category Routes
+- Update to use `cat_id`
+- Add new performance metrics
+- Include time-based aggregates
+
+### Vendor Routes
+- Update product reference handling
+- Add enhanced performance metrics
+- Include new time-based data
+
+### Reporting Routes
+- Update all ID references
+- Add new metrics support
+- Include enhanced forecasting data
+
+## Migration Considerations
+
+### Data Migration
+- Update existing records to use new IDs
+- Backfill new metrics where possible
+- Verify data integrity after changes
+- Handle NULL to 'Unbranded' brand conversion
+
+### Code Updates
+- Update all API endpoints
+- Modify database queries
+- Update frontend components
+- Revise reporting logic
+
+### Testing Requirements
+- Verify ID changes throughout system
+- Test new metrics calculations
+- Validate forecasting accuracy
+- Check performance impact
+- Verify NULL value handling 

docs/schema-update-changes.md

@@ -0,0 +1,270 @@
+# Schema Update Changes Required
+
+## Core Field Name Changes
+
+### Global Changes
+- Update all references from `product_id` to `pid` in all tables and queries
+  - This includes foreign key references in related tables
+  - Update TypeScript interfaces and types (e.g., `interface Product { pid: number; ... }`)
+  - Update API request/response types
+- Update all references from `category_id` to `cat_id` in category-related queries
+  - This affects the `categories` table and all tables with category foreign keys
+- Update purchase order status to use numeric codes instead of strings
+  - Status codes: 0=canceled, 1=created, 10=electronically_ready_send, 11=ordered, 12=preordered, 13=electronically_sent, 15=receiving_started, 50=done
+  - Receiving status codes: 0=canceled, 1=created, 30=partial_received, 40=full_received, 50=paid
+- Handle NULL brand values as 'Unbranded'
+  - Add COALESCE(brand, 'Unbranded') in all brand-related queries
+  - Update frontend brand filters to handle 'Unbranded' as a valid value
+
+## Backend Route Changes
+
+### Product Routes
+1. Update ID field references in all product routes:
+   - `/api/products/:id` -> `/api/products/:pid`
+   - All query parameters using `product_id` should be changed to `pid`
+   - Update all SQL queries to use `pid` instead of `product_id`
+   - Update `/api/products/:id/metrics` -> `/api/products/:pid/metrics`
+   - Update `/api/products/:id/time-series` -> `/api/products/:pid/time-series`
+   - Update request parameter validation in routes
+   - Example query change:
+     ```sql
+     -- Old
+     SELECT * FROM products WHERE product_id = ?
+     -- New
+     SELECT * FROM products WHERE pid = ?
+     ```
+
+2. Update purchase order status checks:
+   - Change `status = 'closed'` to `receiving_status >= 30` in all relevant queries
+   - Update any route logic that checks PO status to use the new numeric status codes
+   - Example status check change:
+     ```sql
+     -- Old
+     WHERE po.status = 'closed'
+     -- New
+     WHERE po.receiving_status >= 30 -- Partial or fully received
+     ```
+
+### Category Routes
+1. Update ID references:
+   - `/api/categories/:id` -> `/api/categories/:cat_id`
+   - Update all SQL queries to use `cat_id` instead of `category_id`
+   - Update join conditions in category-related queries
+   - Example join change:
+     ```sql
+     -- Old
+     JOIN categories c ON p.category_id = c.category_id
+     -- New
+     JOIN categories c ON p.cat_id = c.cat_id
+     ```
+
+2. Update category metrics queries:
+   - Modify field size handling for financial fields (DECIMAL(15,3) instead of DECIMAL(10,3))
+   - Update category performance calculations to use new field sizes
+   - Example field size change:
+     ```sql
+     -- Old
+     total_value DECIMAL(10,3)
+     -- New
+     total_value DECIMAL(15,3)
+     ```
+
+### Vendor Routes
+1. Update product references:
+   - Change all queries to use `pid` instead of `product_id`
+   - Update purchase order status checks to use new numeric codes
+   - Example vendor query change:
+     ```sql
+     -- Old
+     SELECT v.*, p.product_id FROM vendors v
+     JOIN products p ON p.vendor = v.name
+     WHERE p.product_id = ?
+     -- New
+     SELECT v.*, p.pid FROM vendors v
+     JOIN products p ON p.vendor = v.name
+     WHERE p.pid = ?
+     ```
+
+2. Update vendor metrics queries:
+   - Add COALESCE for NULL brand handling:
+     ```sql
+     -- Old
+     GROUP BY brand
+     -- New
+     GROUP BY COALESCE(brand, 'Unbranded')
+     ```
+   - Update field references in performance metrics calculations
+
+### Dashboard Routes
+1. Update all dashboard endpoints:
+   - `/dashboard/best-sellers`:
+     ```typescript
+     interface BestSellerProduct {
+       pid: number;  // Changed from product_id
+       sku: string;
+       title: string;
+       units_sold: number;
+       revenue: number;  // Now handles larger decimals
+       profit: number;   // Now handles larger decimals
+     }
+     ```
+   - `/dashboard/overstock/products`:
+     ```typescript
+     interface OverstockedProduct {
+       pid: number;  // Changed from product_id
+       sku: string;
+       title: string;
+       stock_quantity: number;
+       overstocked_amt: number;
+       excess_cost: number;    // Now DECIMAL(15,3)
+       excess_retail: number;  // Now DECIMAL(15,3)
+     }
+     ```
+
+### Analytics Routes
+1. Update analytics endpoints:
+   - `/analytics/stats` - Update all ID references and decimal handling
+   - `/analytics/profit` - Update decimal precision in calculations
+   - `/analytics/vendors` - Add brand NULL handling
+   - Example analytics query change:
+     ```sql
+     -- Old
+     SELECT product_id, SUM(price * quantity) as revenue
+     FROM orders
+     GROUP BY product_id
+     -- New
+     SELECT pid, CAST(SUM(price * quantity) AS DECIMAL(15,3)) as revenue
+     FROM orders
+     GROUP BY pid
+     ```
+
+## Frontend Component Changes
+
+### Product Components
+1. Update API calls:
+   ```typescript
+   // Old
+   fetch(`/api/products/${product_id}`)
+   // New
+   fetch(`/api/products/${pid}`)
+   ```
+   - Update route parameters in React Router:
+     ```typescript
+     // Old
+     <Route path="/products/:product_id" />
+     // New
+     <Route path="/products/:pid" />
+     ```
+   - Update useParams usage:
+     ```typescript
+     // Old
+     const { product_id } = useParams();
+     // New
+     const { pid } = useParams();
+     ```
+
+2. Update data display:
+   ```typescript
+   // Old
+   <td>{formatCurrency(product.price)}</td>
+   // New
+   <td>{formatCurrency(Number(product.price))}</td>
+   ```
+
+### Dashboard Components
+1. Update metrics displays:
+   ```typescript
+   // Old
+   interface ProductMetrics {
+     product_id: number;
+     total_value: number;
+   }
+   // New
+   interface ProductMetrics {
+     pid: number;
+     total_value: string;  // Handle as string due to DECIMAL(15,3)
+   }
+   ```
+
+2. Update stock status displays:
+   ```typescript
+   // Old
+   const isReceived = po.status === 'closed';
+   // New
+   const isReceived = po.receiving_status >= 30;
+   ```
+
+### Product Filters Component
+1. Update filter options:
+   ```typescript
+   // Old
+   const productFilter = { id: 'product_id', value: id };
+   // New
+   const productFilter = { id: 'pid', value: id };
+   ```
+
+2. Update status filters:
+   ```typescript
+   // Old
+   const poStatusOptions = [
+     { label: 'Closed', value: 'closed' }
+   ];
+   // New
+   const poStatusOptions = [
+     { label: 'Received', value: '30' }  // Using numeric codes
+   ];
+   ```
+
+## Data Type Considerations
+
+### Financial Fields
+- Update TypeScript types:
+  ```typescript
+  // Old
+  price: number;
+  // New
+  price: string;  // Handle as string due to DECIMAL(15,3)
+  ```
+- Update formatting:
+  ```typescript
+  // Old
+  formatCurrency(value)
+  // New
+  formatCurrency(Number(value))
+  ```
+
+### Status Codes
+- Add status code mapping:
+  ```typescript
+  const PO_STATUS_MAP = {
+    0: 'Canceled',
+    1: 'Created',
+    10: 'Ready to Send',
+    11: 'Ordered',
+    12: 'Preordered',
+    13: 'Sent',
+    15: 'Receiving Started',
+    50: 'Done'
+  };
+  ```
+
+## Testing Requirements
+
+1. API Route Testing:
+   ```typescript
+   // Test decimal handling
+   expect(typeof response.total_value).toBe('string');
+   expect(response.total_value).toMatch(/^\d+\.\d{3}$/);
+   
+   // Test status codes
+   expect(response.receiving_status).toBeGreaterThanOrEqual(30);
+   
+   // Test brand handling
+   expect(response.brand || 'Unbranded').toBeDefined();
+   ```
+
+## Notes
+- All numeric status code comparisons should use >= for status checks to handle future status codes
+- All financial values should be handled as strings in TypeScript/JavaScript to preserve precision
+- Brand grouping should always use COALESCE(brand, 'Unbranded') in SQL queries
+- All ID parameters in routes should be validated as numbers 

inventory-server/db/config-schema.sql

@@ -14,7 +14,8 @@ CREATE TABLE IF NOT EXISTS stock_thresholds (
     updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
     PRIMARY KEY (id),
     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE KEY unique_category_vendor (category_id, vendor)
+    UNIQUE KEY unique_category_vendor (category_id, vendor),
+    INDEX idx_st_metrics (category_id, vendor)
 );
 
 -- Lead time threshold configurations
@@ -44,7 +45,8 @@ CREATE TABLE IF NOT EXISTS sales_velocity_config (
     updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
     PRIMARY KEY (id),
     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE KEY unique_category_vendor (category_id, vendor)
+    UNIQUE KEY unique_category_vendor (category_id, vendor),
+    INDEX idx_sv_metrics (category_id, vendor)
 );
 
 -- ABC Classification configurations
@@ -68,7 +70,8 @@ CREATE TABLE IF NOT EXISTS safety_stock_config (
     updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
     PRIMARY KEY (id),
     FOREIGN KEY (category_id) REFERENCES categories(cat_id) ON DELETE CASCADE,
-    UNIQUE KEY unique_category_vendor (category_id, vendor)
+    UNIQUE KEY unique_category_vendor (category_id, vendor),
+    INDEX idx_ss_metrics (category_id, vendor)
 );
 
 -- Turnover rate configurations
@@ -85,6 +88,16 @@ CREATE TABLE IF NOT EXISTS turnover_config (
     UNIQUE KEY unique_category_vendor (category_id, vendor)
 );
 
+-- Create table for sales seasonality factors
+CREATE TABLE IF NOT EXISTS sales_seasonality (
+    month INT NOT NULL,
+    seasonality_factor DECIMAL(5,3) DEFAULT 0,
+    last_updated TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    PRIMARY KEY (month),
+    CHECK (month BETWEEN 1 AND 12),
+    CHECK (seasonality_factor BETWEEN -1.0 AND 1.0)
+);
+
 -- Insert default global thresholds if not exists
 INSERT INTO stock_thresholds (id, category_id, vendor, critical_days, reorder_days, overstock_days)
 VALUES (1, NULL, NULL, 7, 14, 90)
@@ -126,6 +139,13 @@ ON DUPLICATE KEY UPDATE
     calculation_period_days = VALUES(calculation_period_days),
     target_rate = VALUES(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 DUPLICATE KEY UPDATE last_updated = CURRENT_TIMESTAMP;
+
 -- View to show thresholds with category names
 CREATE OR REPLACE VIEW stock_thresholds_view AS
 SELECT 
@@ -149,4 +169,28 @@ ORDER BY
         ELSE 4
     END,
     c.name,
-    st.vendor; 
+    st.vendor;
+
+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,
+    INDEX idx_last_sync (last_sync_timestamp)
+);
+
+CREATE TABLE IF NOT EXISTS import_history (
+    id BIGINT AUTO_INCREMENT PRIMARY KEY,
+    table_name VARCHAR(50) NOT NULL,
+    start_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    end_time TIMESTAMP NULL,
+    duration_seconds INT,
+    duration_minutes DECIMAL(10,2) GENERATED ALWAYS AS (duration_seconds / 60.0) STORED,
+    records_added INT DEFAULT 0,
+    records_updated INT DEFAULT 0,
+    is_incremental BOOLEAN DEFAULT FALSE,
+    status ENUM('running', 'completed', 'failed', 'cancelled') DEFAULT 'running',
+    error_message TEXT,
+    additional_info JSON,
+    INDEX idx_table_time (table_name, start_time),
+    INDEX idx_status (status)
+); 

inventory-server/db/metrics-schema.sql

@@ -152,7 +152,7 @@ CREATE TABLE IF NOT EXISTS category_metrics (
     product_count INT DEFAULT 0,
     active_products INT DEFAULT 0,
     -- Financial metrics
-    total_value DECIMAL(10,3) DEFAULT 0,
+    total_value DECIMAL(15,3) DEFAULT 0,
     avg_margin DECIMAL(5,2),
     turnover_rate DECIMAL(12,3),
     growth_rate DECIMAL(5,2),
@@ -193,8 +193,8 @@ CREATE TABLE IF NOT EXISTS category_time_metrics (
     product_count INT DEFAULT 0,
     active_products INT DEFAULT 0,
     -- Financial metrics
-    total_value DECIMAL(10,3) DEFAULT 0,
-    total_revenue DECIMAL(10,3) DEFAULT 0,
+    total_value DECIMAL(15,3) DEFAULT 0,
+    total_revenue DECIMAL(15,3) DEFAULT 0,
     avg_margin DECIMAL(5,2),
     turnover_rate DECIMAL(12,3),
     PRIMARY KEY (category_id, year, month),
@@ -228,10 +228,10 @@ CREATE TABLE IF NOT EXISTS brand_metrics (
     active_products INT DEFAULT 0,
     -- Stock metrics
     total_stock_units INT DEFAULT 0,
-    total_stock_cost DECIMAL(10,2) DEFAULT 0,
-    total_stock_retail DECIMAL(10,2) DEFAULT 0,
+    total_stock_cost DECIMAL(15,2) DEFAULT 0,
+    total_stock_retail DECIMAL(15,2) DEFAULT 0,
     -- Sales metrics
-    total_revenue DECIMAL(10,2) DEFAULT 0,
+    total_revenue DECIMAL(15,2) DEFAULT 0,
     avg_margin DECIMAL(5,2) DEFAULT 0,
     growth_rate DECIMAL(5,2) DEFAULT 0,
     PRIMARY KEY (brand),
@@ -250,10 +250,10 @@ CREATE TABLE IF NOT EXISTS brand_time_metrics (
     active_products INT DEFAULT 0,
     -- Stock metrics
     total_stock_units INT DEFAULT 0,
-    total_stock_cost DECIMAL(10,2) DEFAULT 0,
-    total_stock_retail DECIMAL(10,2) DEFAULT 0,
+    total_stock_cost DECIMAL(15,2) DEFAULT 0,
+    total_stock_retail DECIMAL(15,2) DEFAULT 0,
     -- Sales metrics
-    total_revenue DECIMAL(10,2) DEFAULT 0,
+    total_revenue DECIMAL(15,2) DEFAULT 0,
     avg_margin DECIMAL(5,2) DEFAULT 0,
     PRIMARY KEY (brand, year, month),
     INDEX idx_brand_date (year, month)
@@ -287,26 +287,6 @@ CREATE TABLE IF NOT EXISTS category_forecasts (
     INDEX idx_category_forecast_last_calculated (last_calculated_at)
 );
 
--- Create table for sales seasonality factors
-CREATE TABLE IF NOT EXISTS sales_seasonality (
-    month INT NOT NULL,
-    seasonality_factor DECIMAL(5,3) DEFAULT 0,
-    last_updated TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    PRIMARY KEY (month),
-    CHECK (month BETWEEN 1 AND 12),
-    CHECK (seasonality_factor BETWEEN -1.0 AND 1.0)
-);
-
--- 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 DUPLICATE KEY UPDATE last_updated = CURRENT_TIMESTAMP;
-
--- Re-enable foreign key checks
-SET FOREIGN_KEY_CHECKS = 1;
-
 -- Create view for inventory health
 CREATE OR REPLACE VIEW inventory_health AS
 WITH product_thresholds AS (
@@ -427,4 +407,24 @@ FROM
 LEFT JOIN 
     categories p ON c.parent_id = p.cat_id
 LEFT JOIN 
-    category_metrics cm ON c.cat_id = cm.category_id; 
+    category_metrics cm ON c.cat_id = cm.category_id;
+
+-- Re-enable foreign key checks
+SET FOREIGN_KEY_CHECKS = 1;
+
+-- Create table for sales seasonality factors
+CREATE TABLE IF NOT EXISTS sales_seasonality (
+    month INT NOT NULL,
+    seasonality_factor DECIMAL(5,3) DEFAULT 0,
+    last_updated TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    PRIMARY KEY (month),
+    CHECK (month BETWEEN 1 AND 12),
+    CHECK (seasonality_factor BETWEEN -1.0 AND 1.0)
+);
+
+-- 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 DUPLICATE KEY UPDATE last_updated = CURRENT_TIMESTAMP; 

inventory-server/db/schema.sql

@@ -39,7 +39,7 @@ CREATE TABLE products (
     tags TEXT,
     moq INT DEFAULT 1,
     uom INT DEFAULT 1,
-    rating TINYINT UNSIGNED DEFAULT 0,
+    rating DECIMAL(10,2) DEFAULT 0.00,
     reviews INT UNSIGNED DEFAULT 0,
     weight DECIMAL(10,3),
     length DECIMAL(10,3),
@@ -52,7 +52,7 @@ CREATE TABLE products (
     notifies INT UNSIGNED DEFAULT 0,
     date_last_sold DATE,
     PRIMARY KEY (pid),
-    UNIQUE KEY unique_sku (SKU),
+    INDEX idx_sku (SKU),
     INDEX idx_vendor (vendor),
     INDEX idx_brand (brand),
     INDEX idx_location (location),
@@ -113,16 +113,19 @@ CREATE TABLE IF NOT EXISTS orders (
     tax DECIMAL(10,3) DEFAULT 0.000,
     tax_included TINYINT(1) DEFAULT 0,
     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',
     canceled TINYINT(1) DEFAULT 0,
     PRIMARY KEY (id),
+    UNIQUE KEY unique_order_line (order_number, pid),
     KEY order_number (order_number),
     KEY pid (pid),
     KEY customer (customer),
     KEY date (date),
-    KEY status (status)
+    KEY status (status),
+    INDEX idx_orders_metrics (pid, date, canceled)
 ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
 -- Create purchase_orders table with its indexes
@@ -134,7 +137,9 @@ CREATE TABLE purchase_orders (
     expected_date DATE,
     pid BIGINT NOT NULL,
     sku VARCHAR(50) NOT NULL,
+    name VARCHAR(100) NOT NULL COMMENT 'Product name from products.description',
     cost_price DECIMAL(10, 3) NOT NULL,
+    po_cost_price DECIMAL(10, 3) NOT NULL COMMENT 'Original cost from PO, before receiving adjustments',
     status TINYINT UNSIGNED DEFAULT 1 COMMENT '0=canceled,1=created,10=electronically_ready_send,11=ordered,12=preordered,13=electronically_sent,15=receiving_started,50=done',
     receiving_status TINYINT UNSIGNED DEFAULT 1 COMMENT '0=canceled,1=created,30=partial_received,40=full_received,50=paid',
     notes TEXT,
@@ -146,12 +151,12 @@ CREATE TABLE purchase_orders (
     received_by INT,
     receiving_history JSON COMMENT 'Array of receiving records with qty, date, cost, receiving_id, and alt_po flag',
     FOREIGN KEY (pid) REFERENCES products(pid),
-    FOREIGN KEY (sku) REFERENCES products(SKU),
     INDEX idx_po_id (po_id),
     INDEX idx_vendor (vendor),
     INDEX idx_status (status),
     INDEX idx_receiving_status (receiving_status),
     INDEX idx_purchase_orders_metrics (pid, date, status, ordered, received),
+    INDEX idx_po_metrics (pid, date, receiving_status, received_date),
     INDEX idx_po_product_date (pid, date),
     INDEX idx_po_product_status (pid, status),
     UNIQUE KEY unique_po_product (po_id, pid)

inventory-server/scripts/calculate-metrics.js

@@ -5,6 +5,16 @@ process.chdir(path.dirname(__filename));
 
 require('dotenv').config({ path: path.resolve(__dirname, '..', '.env') });
 
+// Configuration flags for controlling which metrics to calculate
+// Set to 1 to skip the corresponding calculation, 0 to run it
+const SKIP_PRODUCT_METRICS = 1;          // Skip all product metrics
+const SKIP_TIME_AGGREGATES = 1;          // Skip time aggregates
+const SKIP_FINANCIAL_METRICS = 1;        // Skip financial metrics
+const SKIP_VENDOR_METRICS = 1;           // Skip vendor metrics
+const SKIP_CATEGORY_METRICS = 1;         // Skip category metrics
+const SKIP_BRAND_METRICS = 1;            // Skip brand metrics
+const SKIP_SALES_FORECASTS = 1;          // Skip sales forecasts
+
 // Add error handler for uncaught exceptions
 process.on('uncaughtException', (error) => {
     console.error('Uncaught Exception:', error);
@@ -43,9 +53,6 @@ const calculateCategoryMetrics = require('./metrics/category-metrics');
 const calculateBrandMetrics = require('./metrics/brand-metrics');
 const calculateSalesForecasts = require('./metrics/sales-forecasts');
 
-// Set to 1 to skip product metrics and only calculate the remaining metrics
-const SKIP_PRODUCT_METRICS = 1;
-
 // Add cancel handler
 let isCancelled = false;
 
@@ -137,60 +144,199 @@ async function calculateMetrics() {
             }
 
             // Calculate time-based aggregates
-            processedCount = await calculateTimeAggregates(startTime, totalProducts, processedCount);
+            if (!SKIP_TIME_AGGREGATES) {
+                processedCount = await calculateTimeAggregates(startTime, totalProducts, processedCount);
+            } else {
+                console.log('Skipping time aggregates calculation');
+            }
 
             // Calculate financial metrics
-            processedCount = await calculateFinancialMetrics(startTime, totalProducts, processedCount);
+            if (!SKIP_FINANCIAL_METRICS) {
+                processedCount = await calculateFinancialMetrics(startTime, totalProducts, processedCount);
+            } else {
+                console.log('Skipping financial metrics calculation');
+            }
             
             // Calculate vendor metrics
-            processedCount = await calculateVendorMetrics(startTime, totalProducts, processedCount);
+            if (!SKIP_VENDOR_METRICS) {
+                processedCount = await calculateVendorMetrics(startTime, totalProducts, processedCount);
+            } else {
+                console.log('Skipping vendor metrics calculation');
+            }
 
             // Calculate category metrics
-            processedCount = await calculateCategoryMetrics(startTime, totalProducts, processedCount);
+            if (!SKIP_CATEGORY_METRICS) {
+                processedCount = await calculateCategoryMetrics(startTime, totalProducts, processedCount);
+            } else {
+                console.log('Skipping category metrics calculation');
+            }
 
             // Calculate brand metrics
-            processedCount = await calculateBrandMetrics(startTime, totalProducts, processedCount);
+            if (!SKIP_BRAND_METRICS) {
+                processedCount = await calculateBrandMetrics(startTime, totalProducts, processedCount);
+            } else {
+                console.log('Skipping brand metrics calculation');
+            }
 
             // Calculate sales forecasts
-            processedCount = await calculateSalesForecasts(startTime, totalProducts, processedCount);
+            if (!SKIP_SALES_FORECASTS) {
+                processedCount = await calculateSalesForecasts(startTime, totalProducts, processedCount);
+            } else {
+                console.log('Skipping sales forecasts calculation');
+            }
 
             // Calculate ABC classification
+            outputProgress({
+                status: 'running',
+                operation: 'Starting ABC classification',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+
+            if (isCancelled) return processedCount;
+
             const [abcConfig] = await connection.query('SELECT a_threshold, b_threshold FROM abc_classification_config WHERE id = 1');
             const abcThresholds = abcConfig[0] || { a_threshold: 20, b_threshold: 50 };
 
+            // First, create and populate the rankings table with an index
+            await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_revenue_ranks');
             await connection.query(`
-                WITH revenue_rankings AS (
-                    SELECT 
-                        product_id,
-                        total_revenue,
-                        PERCENT_RANK() OVER (ORDER BY COALESCE(total_revenue, 0) DESC) * 100 as revenue_percentile
-                    FROM product_metrics
-                ),
-                classification_update AS (
-                    SELECT 
-                        product_id,
+                CREATE TEMPORARY TABLE temp_revenue_ranks (
+                    pid BIGINT NOT NULL,
+                    total_revenue DECIMAL(10,3),
+                    rank_num INT,
+                    total_count INT,
+                    PRIMARY KEY (pid),
+                    INDEX (rank_num)
+                ) ENGINE=MEMORY
+            `);
+
+            outputProgress({
+                status: 'running',
+                operation: 'Creating revenue rankings',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+
+            if (isCancelled) return processedCount;
+
+            await connection.query(`
+                INSERT INTO temp_revenue_ranks
+                SELECT 
+                    pid,
+                    total_revenue,
+                    @rank := @rank + 1 as rank_num,
+                    @total_count := @rank as total_count
+                FROM (
+                    SELECT pid, total_revenue 
+                    FROM product_metrics 
+                    WHERE total_revenue > 0 
+                    ORDER BY total_revenue DESC
+                ) ranked, 
+                (SELECT @rank := 0) r
+            `);
+
+            // Get total count for percentage calculation
+            const [rankingCount] = await connection.query('SELECT MAX(rank_num) as total_count FROM temp_revenue_ranks');
+            const totalCount = rankingCount[0].total_count || 1;
+
+            outputProgress({
+                status: 'running',
+                operation: 'Updating ABC classifications',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+
+            if (isCancelled) return processedCount;
+
+            // Process updates in batches
+            let abcProcessedCount = 0;
+            const batchSize = 5000;
+
+            while (true) {
+                if (isCancelled) return processedCount;
+
+                // First get a batch of PIDs that need updating
+                const [pids] = await connection.query(`
+                    SELECT pm.pid 
+                    FROM product_metrics pm
+                    LEFT JOIN temp_revenue_ranks tr ON pm.pid = tr.pid
+                    WHERE pm.abc_class IS NULL 
+                    OR pm.abc_class != 
                         CASE 
-                            WHEN revenue_percentile <= ? THEN 'A'
-                            WHEN revenue_percentile <= ? THEN 'B'
+                            WHEN tr.rank_num IS NULL THEN 'C'
+                            WHEN (tr.rank_num / ?) * 100 <= ? THEN 'A'
+                            WHEN (tr.rank_num / ?) * 100 <= ? THEN 'B'
                             ELSE 'C'
-                        END as abc_class
-                    FROM revenue_rankings
-                )
-                UPDATE product_metrics pm
-                JOIN classification_update cu ON pm.product_id = cu.product_id
-                SET pm.abc_class = cu.abc_class,
-                    pm.last_calculated_at = NOW()
-            `, [abcThresholds.a_threshold, abcThresholds.b_threshold]);
+                        END
+                    LIMIT ?
+                `, [totalCount, abcThresholds.a_threshold,
+                    totalCount, abcThresholds.b_threshold,
+                    batchSize]);
+
+                if (pids.length === 0) {
+                    break;
+                }
+
+                // Then update just those PIDs
+                const [result] = await connection.query(`
+                    UPDATE product_metrics pm
+                    LEFT JOIN temp_revenue_ranks tr ON pm.pid = tr.pid
+                    SET pm.abc_class = 
+                        CASE 
+                            WHEN tr.rank_num IS NULL THEN 'C'
+                            WHEN (tr.rank_num / ?) * 100 <= ? THEN 'A'
+                            WHEN (tr.rank_num / ?) * 100 <= ? THEN 'B'
+                            ELSE 'C'
+                        END,
+                        pm.last_calculated_at = NOW()
+                    WHERE pm.pid IN (?)
+                `, [totalCount, abcThresholds.a_threshold,
+                    totalCount, abcThresholds.b_threshold,
+                    pids.map(row => row.pid)]);
+
+                abcProcessedCount += result.affectedRows;
+                processedCount = Math.floor(totalProducts * (0.99 + (abcProcessedCount / totalCount) * 0.01));
+
+                outputProgress({
+                    status: 'running',
+                    operation: 'ABC classification progress',
+                    current: processedCount,
+                    total: totalProducts,
+                    elapsed: formatElapsedTime(startTime),
+                    remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                    rate: calculateRate(startTime, processedCount),
+                    percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+                });
+
+                // Small delay between batches to allow other transactions
+                await new Promise(resolve => setTimeout(resolve, 100));
+            }
+
+            // Clean up
+            await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_revenue_ranks');
 
             // Final success message
-            global.outputProgress({
+            outputProgress({
                 status: 'complete',
                 operation: 'Metrics calculation complete',
                 current: totalProducts,
                 total: totalProducts,
-                elapsed: global.formatElapsedTime(startTime),
+                elapsed: formatElapsedTime(startTime),
                 remaining: '0s',
-                rate: global.calculateRate(startTime, totalProducts),
+                rate: calculateRate(startTime, totalProducts),
                 percentage: '100'
             });
 

inventory-server/scripts/import/categories.js

@@ -0,0 +1,182 @@
+const { outputProgress, formatElapsedTime } = require('../metrics/utils/progress');
+
+async function importCategories(prodConnection, localConnection) {
+  outputProgress({
+    operation: "Starting categories import",
+    status: "running",
+  });
+
+  const startTime = Date.now();
+  const typeOrder = [10, 20, 11, 21, 12, 13];
+  let totalInserted = 0;
+  let skippedCategories = [];
+
+  try {
+    // Process each type in order with its own query
+    for (const type of typeOrder) {
+      const [categories] = await prodConnection.query(
+        `
+        SELECT 
+          pc.cat_id,
+          pc.name,
+          pc.type,
+          CASE 
+            WHEN pc.type IN (10, 20) THEN NULL  -- Top level categories should have no parent
+            WHEN pc.master_cat_id IS NULL THEN NULL
+            ELSE pc.master_cat_id
+          END as parent_id,
+          pc.combined_name as description
+        FROM product_categories pc
+        WHERE pc.type = ?
+        ORDER BY pc.cat_id
+      `,
+        [type]
+      );
+
+      if (categories.length === 0) continue;
+
+      console.log(`\nProcessing ${categories.length} type ${type} categories`);
+      if (type === 10) {
+        console.log("Type 10 categories:", JSON.stringify(categories, null, 2));
+      }
+
+      // For types that can have parents (11, 21, 12, 13), verify parent existence
+      let categoriesToInsert = categories;
+      if (![10, 20].includes(type)) {
+        // Get all parent IDs
+        const parentIds = [
+          ...new Set(
+            categories.map((c) => c.parent_id).filter((id) => id !== null)
+          ),
+        ];
+
+        // Check which parents exist
+        const [existingParents] = await localConnection.query(
+          "SELECT cat_id FROM categories WHERE cat_id IN (?)",
+          [parentIds]
+        );
+        const existingParentIds = new Set(existingParents.map((p) => p.cat_id));
+
+        // Filter categories and track skipped ones
+        categoriesToInsert = categories.filter(
+          (cat) =>
+            cat.parent_id === null || existingParentIds.has(cat.parent_id)
+        );
+        const invalidCategories = categories.filter(
+          (cat) =>
+            cat.parent_id !== null && !existingParentIds.has(cat.parent_id)
+        );
+
+        if (invalidCategories.length > 0) {
+          const skippedInfo = invalidCategories.map((c) => ({
+            id: c.cat_id,
+            name: c.name,
+            type: c.type,
+            missing_parent: c.parent_id,
+          }));
+          skippedCategories.push(...skippedInfo);
+
+          console.log(
+            "\nSkipping categories with missing parents:",
+            invalidCategories
+              .map(
+                (c) =>
+                  `${c.cat_id} - ${c.name} (missing parent: ${c.parent_id})`
+              )
+              .join("\n")
+          );
+        }
+
+        if (categoriesToInsert.length === 0) {
+          console.log(
+            `No valid categories of type ${type} to insert - all had missing parents`
+          );
+          continue;
+        }
+      }
+
+      console.log(
+        `Inserting ${categoriesToInsert.length} type ${type} categories`
+      );
+
+      const placeholders = categoriesToInsert
+        .map(() => "(?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP)")
+        .join(",");
+
+      const values = categoriesToInsert.flatMap((cat) => [
+        cat.cat_id,
+        cat.name,
+        cat.type,
+        cat.parent_id,
+        cat.description,
+        "active",
+      ]);
+
+      // Insert categories and create relationships in one query to avoid race conditions
+      await localConnection.query(
+        `
+        INSERT INTO categories (cat_id, name, type, parent_id, description, status, created_at, updated_at)
+        VALUES ${placeholders}
+        ON DUPLICATE KEY UPDATE
+          name = VALUES(name),
+          type = VALUES(type),
+          parent_id = VALUES(parent_id),
+          description = VALUES(description),
+          status = VALUES(status),
+          updated_at = CURRENT_TIMESTAMP
+      `,
+        values
+      );
+
+      totalInserted += categoriesToInsert.length;
+      outputProgress({
+        status: "running",
+        operation: "Categories import",
+        current: totalInserted,
+        total: totalInserted,
+        elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+      });
+    }
+
+    // After all imports, if we skipped any categories, throw an error
+    if (skippedCategories.length > 0) {
+      const error = new Error(
+        "Categories import completed with errors - some categories were skipped due to missing parents"
+      );
+      error.skippedCategories = skippedCategories;
+      throw error;
+    }
+
+    outputProgress({
+      status: "complete",
+      operation: "Categories import completed",
+      current: totalInserted,
+      total: totalInserted,
+      duration: formatElapsedTime((Date.now() - startTime) / 1000),
+    });
+
+    return {
+      status: "complete",
+      totalImported: totalInserted
+    };
+  } catch (error) {
+    console.error("Error importing categories:", error);
+    if (error.skippedCategories) {
+      console.error(
+        "Skipped categories:",
+        JSON.stringify(error.skippedCategories, null, 2)
+      );
+    }
+    
+    outputProgress({
+      status: "error",
+      operation: "Categories import failed",
+      error: error.message,
+      skippedCategories: error.skippedCategories
+    });
+
+    throw error;
+  }
+}
+
+module.exports = importCategories; 

inventory-server/scripts/import/orders.js

@@ -0,0 +1,568 @@
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
+const { importMissingProducts, setupTemporaryTables, cleanupTemporaryTables, materializeCalculations } = require('./products');
+
+/**
+ * Imports orders from a production MySQL database to a local MySQL database.
+ * It can run in two modes:
+ *   1. Incremental update mode (default): Only fetch orders that have changed since the last sync time.
+ *   2. Full update mode: Fetch all eligible orders within the last 5 years regardless of timestamp.
+ *
+ * @param {object} prodConnection - A MySQL connection to production DB (MySQL 5.7).
+ * @param {object} localConnection - A MySQL connection to local DB (MySQL 8.0).
+ * @param {boolean} incrementalUpdate - Set to false for a full sync; true for incremental.
+ *
+ * @returns {object} Information about the sync operation.
+ */
+async function importOrders(prodConnection, localConnection, incrementalUpdate = true) {
+  const startTime = Date.now();
+  const skippedOrders = new Set();
+  const missingProducts = new Set();
+  let recordsAdded = 0;
+  let recordsUpdated = 0;
+  let processedCount = 0;
+  let importedCount = 0;
+  let totalOrderItems = 0;
+  let totalUniqueOrders = 0;
+
+  // Add a cumulative counter for processed orders before the loop
+  let cumulativeProcessedOrders = 0;
+
+  try {
+    // Insert temporary table creation queries
+    await localConnection.query(`
+      CREATE TABLE IF NOT EXISTS temp_order_items (
+        order_id INT UNSIGNED NOT NULL,
+        pid INT UNSIGNED NOT NULL,
+        SKU VARCHAR(50) NOT NULL,
+        price DECIMAL(10,2) NOT NULL,
+        quantity INT NOT NULL,
+        base_discount DECIMAL(10,2) DEFAULT 0,
+        PRIMARY KEY (order_id, pid)
+      ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
+    `);
+    await localConnection.query(`
+      CREATE TABLE IF NOT EXISTS temp_order_meta (
+        order_id INT UNSIGNED NOT NULL,
+        date DATE NOT NULL,
+        customer VARCHAR(100) NOT NULL,
+        customer_name VARCHAR(150) NOT NULL,
+        status INT,
+        canceled TINYINT(1),
+        PRIMARY KEY (order_id)
+      ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
+    `);
+    await localConnection.query(`
+      CREATE TABLE IF NOT EXISTS temp_order_discounts (
+        order_id INT UNSIGNED NOT NULL,
+        pid INT UNSIGNED NOT NULL,
+        discount DECIMAL(10,2) NOT NULL,
+        PRIMARY KEY (order_id, pid)
+      ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
+    `);
+    await localConnection.query(`
+      CREATE TABLE IF NOT EXISTS temp_order_taxes (
+        order_id INT UNSIGNED NOT NULL,
+        pid INT UNSIGNED NOT NULL,
+        tax DECIMAL(10,2) NOT NULL,
+        PRIMARY KEY (order_id, pid)
+      ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
+    `);
+    await localConnection.query(`
+      CREATE TABLE IF NOT EXISTS temp_order_costs (
+        order_id INT UNSIGNED NOT NULL,
+        pid INT UNSIGNED NOT NULL,
+        costeach DECIMAL(10,3) DEFAULT 0.000,
+        PRIMARY KEY (order_id, pid)
+      ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
+    `);
+
+    // Get column names from the local table
+    const [columns] = await localConnection.query(`
+      SELECT COLUMN_NAME 
+      FROM INFORMATION_SCHEMA.COLUMNS 
+      WHERE TABLE_NAME = 'orders'
+      ORDER BY ORDINAL_POSITION
+    `);
+    const columnNames = columns.map(col => col.COLUMN_NAME);
+
+    // Get last sync info
+    const [syncInfo] = await localConnection.query(
+      "SELECT last_sync_timestamp FROM sync_status WHERE table_name = 'orders'"
+    );
+    const lastSyncTime = syncInfo?.[0]?.last_sync_timestamp || '1970-01-01';
+
+    console.log('Orders: Using last sync time:', lastSyncTime);
+
+    // First get count of order items
+    const [[{ total }]] = await prodConnection.query(`
+      SELECT COUNT(*) as total
+      FROM order_items oi
+      USE INDEX (PRIMARY)
+      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
+        ${incrementalUpdate ? `
+          AND (
+            o.stamp > ? 
+            OR oi.stamp > ?
+            OR EXISTS (
+              SELECT 1 FROM order_discount_items odi 
+              WHERE odi.order_id = o.order_id 
+              AND odi.pid = oi.prod_pid
+            )
+            OR EXISTS (
+              SELECT 1 FROM order_tax_info oti 
+              JOIN order_tax_info_products otip ON oti.taxinfo_id = otip.taxinfo_id
+              WHERE oti.order_id = o.order_id 
+              AND otip.pid = oi.prod_pid
+              AND oti.stamp > ?
+            )
+          )
+        ` : ''}
+    `, incrementalUpdate ? [lastSyncTime, lastSyncTime, lastSyncTime] : []);
+
+    totalOrderItems = total;
+    console.log('Orders: Found changes:', totalOrderItems);
+
+    // Get order items in batches
+    const [orderItems] = await prodConnection.query(`
+      SELECT 
+        oi.order_id,
+        oi.prod_pid as pid,
+        oi.prod_itemnumber as SKU,
+        oi.prod_price as price,
+        oi.qty_ordered as quantity,
+        COALESCE(oi.prod_price_reg - oi.prod_price, 0) as base_discount,
+        oi.stamp as last_modified
+      FROM order_items oi
+      USE INDEX (PRIMARY)
+      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
+        ${incrementalUpdate ? `
+          AND (
+            o.stamp > ? 
+            OR oi.stamp > ?
+            OR EXISTS (
+              SELECT 1 FROM order_discount_items odi 
+              WHERE odi.order_id = o.order_id 
+              AND odi.pid = oi.prod_pid
+            )
+            OR EXISTS (
+              SELECT 1 FROM order_tax_info oti 
+              JOIN order_tax_info_products otip ON oti.taxinfo_id = otip.taxinfo_id
+              WHERE oti.order_id = o.order_id 
+              AND otip.pid = oi.prod_pid
+              AND oti.stamp > ?
+            )
+          )
+        ` : ''}
+    `, incrementalUpdate ? [lastSyncTime, lastSyncTime, lastSyncTime] : []);
+
+    console.log('Orders: Processing', orderItems.length, 'order items');
+
+    // Insert order items in batches
+    for (let i = 0; i < orderItems.length; i += 5000) {
+      const batch = orderItems.slice(i, Math.min(i + 5000, orderItems.length));
+      const placeholders = batch.map(() => "(?, ?, ?, ?, ?, ?)").join(",");
+      const values = batch.flatMap(item => [
+        item.order_id, item.pid, item.SKU, item.price, item.quantity, item.base_discount
+      ]);
+
+      await localConnection.query(`
+        INSERT INTO temp_order_items (order_id, pid, SKU, price, quantity, base_discount)
+        VALUES ${placeholders}
+        ON DUPLICATE KEY UPDATE
+          SKU = VALUES(SKU),
+          price = VALUES(price),
+          quantity = VALUES(quantity),
+          base_discount = VALUES(base_discount)
+      `, values);
+
+      processedCount = i + batch.length;
+      outputProgress({
+        status: "running",
+        operation: "Orders import",
+        message: `Loading order items: ${processedCount} of ${totalOrderItems}`,
+        current: processedCount,
+        total: totalOrderItems
+      });
+    }
+
+    // Get unique order IDs
+    const orderIds = [...new Set(orderItems.map(item => item.order_id))];
+    totalUniqueOrders = orderIds.length;
+    console.log('Total unique order IDs:', totalUniqueOrders);
+
+    // Reset processed count for order processing phase
+    processedCount = 0;
+
+    // Get order metadata in batches
+    for (let i = 0; i < orderIds.length; i += 5000) {
+      const batchIds = orderIds.slice(i, i + 5000);
+      console.log(`Processing batch ${i/5000 + 1}, size: ${batchIds.length}`);
+      console.log('Sample of batch IDs:', batchIds.slice(0, 5));
+      
+      const [orders] = await prodConnection.query(`
+        SELECT 
+          o.order_id,
+          o.date_placed_onlydate 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
+        FROM _order o
+        LEFT JOIN users u ON o.order_cid = u.cid
+        WHERE o.order_id IN (?)
+      `, [batchIds]);
+      
+      console.log(`Retrieved ${orders.length} orders for ${batchIds.length} IDs`);
+      const duplicates = orders.filter((order, index, self) => 
+        self.findIndex(o => o.order_id === order.order_id) !== index
+      );
+      if (duplicates.length > 0) {
+        console.log('Found duplicates:', duplicates);
+      }
+
+      const placeholders = orders.map(() => "(?, ?, ?, ?, ?, ?)").join(",");
+      const values = orders.flatMap(order => [
+        order.order_id, order.date, order.customer, order.customer_name, order.status, order.canceled
+      ]);
+
+      await localConnection.query(`
+        INSERT INTO temp_order_meta VALUES ${placeholders}
+        ON DUPLICATE KEY UPDATE
+          date = VALUES(date),
+          customer = VALUES(customer),
+          customer_name = VALUES(customer_name),
+          status = VALUES(status),
+          canceled = VALUES(canceled)
+      `, values);
+
+      processedCount = i + orders.length;
+      outputProgress({
+        status: "running",
+        operation: "Orders import",
+        message: `Loading order metadata: ${processedCount} of ${totalUniqueOrders}`,
+        current: processedCount,
+        total: totalUniqueOrders
+      });
+    }
+
+    // Reset processed count for final phase
+    processedCount = 0;
+
+    // Get promotional discounts in batches
+    for (let i = 0; i < orderIds.length; i += 5000) {
+      const batchIds = orderIds.slice(i, i + 5000);
+      const [discounts] = await prodConnection.query(`
+        SELECT order_id, pid, SUM(amount) as discount
+        FROM order_discount_items
+        WHERE order_id IN (?)
+        GROUP BY order_id, pid
+      `, [batchIds]);
+
+      if (discounts.length > 0) {
+        const placeholders = discounts.map(() => "(?, ?, ?)").join(",");
+        const values = discounts.flatMap(d => [d.order_id, d.pid, d.discount]);
+
+        await localConnection.query(`
+          INSERT INTO temp_order_discounts VALUES ${placeholders}
+          ON DUPLICATE KEY UPDATE
+            discount = VALUES(discount)
+        `, values);
+      }
+    }
+
+    // Get tax information in batches
+    for (let i = 0; i < orderIds.length; i += 5000) {
+      const batchIds = orderIds.slice(i, i + 5000);
+      const [taxes] = await prodConnection.query(`
+        SELECT DISTINCT
+          oti.order_id,
+          otip.pid,
+          otip.item_taxes_to_collect as tax
+        FROM order_tax_info oti
+        JOIN (
+          SELECT order_id, MAX(stamp) as max_stamp
+          FROM order_tax_info
+          WHERE order_id IN (?)
+          GROUP BY order_id
+        ) latest ON oti.order_id = latest.order_id AND oti.stamp = latest.max_stamp
+        JOIN order_tax_info_products otip ON oti.taxinfo_id = otip.taxinfo_id
+      `, [batchIds]);
+
+      if (taxes.length > 0) {
+        // Remove any duplicates before inserting
+        const uniqueTaxes = new Map();
+        taxes.forEach(t => {
+          const key = `${t.order_id}-${t.pid}`;
+          uniqueTaxes.set(key, t);
+        });
+
+        const values = Array.from(uniqueTaxes.values()).flatMap(t => [t.order_id, t.pid, t.tax]);
+        if (values.length > 0) {
+          const placeholders = Array(uniqueTaxes.size).fill("(?, ?, ?)").join(",");
+          await localConnection.query(`
+            INSERT INTO temp_order_taxes VALUES ${placeholders}
+            ON DUPLICATE KEY UPDATE tax = VALUES(tax)
+          `, values);
+        }
+      }
+    }
+
+    // Get costeach values in batches
+    for (let i = 0; i < orderIds.length; i += 5000) {
+      const batchIds = orderIds.slice(i, i + 5000);
+      const [costs] = await prodConnection.query(`
+        SELECT orderid as order_id, pid, costeach
+        FROM order_costs
+        WHERE orderid IN (?)
+      `, [batchIds]);
+
+      if (costs.length > 0) {
+        const placeholders = costs.map(() => '(?, ?, ?)').join(",");
+        const values = costs.flatMap(c => [c.order_id, c.pid, c.costeach]);
+        await localConnection.query(`
+          INSERT INTO temp_order_costs (order_id, pid, costeach)
+          VALUES ${placeholders}
+          ON DUPLICATE KEY UPDATE costeach = VALUES(costeach)
+        `, values);
+      }
+    }
+
+    // Now combine all the data and insert into orders table
+    // Pre-check all products at once instead of per batch
+    const allOrderPids = [...new Set(orderItems.map(item => item.pid))];
+    const [existingProducts] = allOrderPids.length > 0 ? await localConnection.query(
+      "SELECT pid FROM products WHERE pid IN (?)",
+      [allOrderPids]
+    ) : [[]];
+    const existingPids = new Set(existingProducts.map(p => p.pid));
+
+    // Process in larger batches
+    for (let i = 0; i < orderIds.length; i += 5000) {
+      const batchIds = orderIds.slice(i, i + 5000);
+
+      // Get combined data for this batch
+      const [orders] = await localConnection.query(`
+        SELECT 
+          oi.order_id as order_number,
+          oi.pid,
+          oi.SKU,
+          om.date,
+          oi.price,
+          oi.quantity,
+          oi.base_discount + COALESCE(od.discount, 0) as discount,
+          COALESCE(ot.tax, 0) as tax,
+          0 as tax_included,
+          0 as shipping,
+          om.customer,
+          om.customer_name,
+          om.status,
+          om.canceled,
+          COALESCE(tc.costeach, 0) as costeach
+        FROM temp_order_items oi
+        JOIN temp_order_meta om ON oi.order_id = om.order_id
+        LEFT JOIN temp_order_discounts od ON oi.order_id = od.order_id AND oi.pid = od.pid
+        LEFT JOIN temp_order_taxes ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
+        LEFT JOIN temp_order_costs tc ON oi.order_id = tc.order_id AND oi.pid = tc.pid
+        WHERE oi.order_id IN (?)
+      `, [batchIds]);
+
+      // Filter orders and track missing products - do this in a single pass
+      const validOrders = [];
+      const values = [];
+      const processedOrderItems = new Set(); // Track unique order items
+      const processedOrders = new Set(); // Track unique orders
+      
+      for (const order of orders) {
+        if (!existingPids.has(order.pid)) {
+          missingProducts.add(order.pid);
+          skippedOrders.add(order.order_number);
+          continue;
+        }
+        validOrders.push(order);
+        values.push(...columnNames.map(col => order[col] ?? null));
+        processedOrderItems.add(`${order.order_number}-${order.pid}`);
+        processedOrders.add(order.order_number);
+      }
+
+      if (validOrders.length > 0) {
+        // Pre-compute the placeholders string once
+        const singlePlaceholder = `(${columnNames.map(() => "?").join(",")})`;
+        const placeholders = Array(validOrders.length).fill(singlePlaceholder).join(",");
+        
+        const result = await localConnection.query(`
+          INSERT INTO orders (${columnNames.join(",")})
+          VALUES ${placeholders}
+          ON DUPLICATE KEY UPDATE
+            SKU = VALUES(SKU),
+            date = VALUES(date),
+            price = VALUES(price),
+            quantity = VALUES(quantity),
+            discount = VALUES(discount),
+            tax = VALUES(tax),
+            tax_included = VALUES(tax_included),
+            shipping = VALUES(shipping),
+            customer = VALUES(customer),
+            customer_name = VALUES(customer_name),
+            status = VALUES(status),
+            canceled = VALUES(canceled),
+            costeach = VALUES(costeach)
+        `, validOrders.map(o => columnNames.map(col => o[col] ?? null)).flat());
+        
+        const affectedRows = result[0].affectedRows;
+        const updates = Math.floor(affectedRows / 2);
+        const inserts = affectedRows - (updates * 2);
+        
+        recordsAdded += inserts;
+        recordsUpdated += updates;
+        importedCount += processedOrderItems.size; // Count unique order items processed
+      }
+
+      // Update progress based on unique orders processed
+      cumulativeProcessedOrders += processedOrders.size;
+      outputProgress({
+        status: "running",
+        operation: "Orders import",
+        message: `Imported ${importedCount} order items (${cumulativeProcessedOrders} of ${totalUniqueOrders} orders processed)`,
+        current: cumulativeProcessedOrders,
+        total: totalUniqueOrders,
+        elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+        remaining: estimateRemaining(startTime, cumulativeProcessedOrders, totalUniqueOrders),
+        rate: calculateRate(startTime, cumulativeProcessedOrders)
+      });
+    }
+
+    // Now try to import any orders that were skipped due to missing products
+    if (skippedOrders.size > 0) {
+      try {
+        outputProgress({
+          status: "running",
+          operation: "Orders import",
+          message: `Retrying import of ${skippedOrders.size} orders with previously missing products`,
+        });
+
+        // Get the orders that were skipped
+        const [skippedProdOrders] = await localConnection.query(`
+          SELECT DISTINCT
+            oi.order_id as order_number,
+            oi.pid,
+            oi.SKU,
+            om.date,
+            oi.price,
+            oi.quantity,
+            oi.base_discount + COALESCE(od.discount, 0) as discount,
+            COALESCE(ot.tax, 0) as tax,
+            0 as tax_included,
+            0 as shipping,
+            om.customer,
+            om.customer_name,
+            om.status,
+            om.canceled,
+            COALESCE(tc.costeach, 0) as costeach
+          FROM temp_order_items oi
+          JOIN temp_order_meta om ON oi.order_id = om.order_id
+          LEFT JOIN temp_order_discounts od ON oi.order_id = od.order_id AND oi.pid = od.pid
+          LEFT JOIN temp_order_taxes ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
+          LEFT JOIN temp_order_costs tc ON oi.order_id = tc.order_id AND oi.pid = tc.pid
+          WHERE oi.order_id IN (?)
+        `, [Array.from(skippedOrders)]);
+
+        // Check which products exist now
+        const skippedPids = [...new Set(skippedProdOrders.map(o => o.pid))];
+        const [existingProducts] = skippedPids.length > 0 ? await localConnection.query(
+          "SELECT pid FROM products WHERE pid IN (?)",
+          [skippedPids]
+        ) : [[]];
+        const existingPids = new Set(existingProducts.map(p => p.pid));
+
+        // Filter orders that can now be imported
+        const validOrders = skippedProdOrders.filter(order => existingPids.has(order.pid));
+        const retryOrderItems = new Set(); // Track unique order items in retry
+
+        if (validOrders.length > 0) {
+          const placeholders = validOrders.map(() => `(${columnNames.map(() => "?").join(", ")})`).join(",");
+          const values = validOrders.map(o => columnNames.map(col => o[col] ?? null)).flat();
+
+          const result = await localConnection.query(`
+            INSERT INTO orders (${columnNames.join(", ")})
+            VALUES ${placeholders}
+            ON DUPLICATE KEY UPDATE
+              SKU = VALUES(SKU),
+              date = VALUES(date),
+              price = VALUES(price),
+              quantity = VALUES(quantity),
+              discount = VALUES(discount),
+              tax = VALUES(tax),
+              tax_included = VALUES(tax_included),
+              shipping = VALUES(shipping),
+              customer = VALUES(customer),
+              customer_name = VALUES(customer_name),
+              status = VALUES(status),
+              canceled = VALUES(canceled),
+              costeach = VALUES(costeach)
+          `, values);
+
+          const affectedRows = result[0].affectedRows;
+          const updates = Math.floor(affectedRows / 2);
+          const inserts = affectedRows - (updates * 2);
+          
+          // Track unique order items
+          validOrders.forEach(order => {
+            retryOrderItems.add(`${order.order_number}-${order.pid}`);
+          });
+          
+          outputProgress({
+            status: "running",
+            operation: "Orders import",
+            message: `Successfully imported ${retryOrderItems.size} previously skipped order items`,
+          });
+
+          // Update the main counters
+          recordsAdded += inserts;
+          recordsUpdated += updates;
+          importedCount += retryOrderItems.size;
+        }
+      } catch (error) {
+        console.warn('Warning: Failed to retry skipped orders:', error.message);
+        console.warn(`Skipped ${skippedOrders.size} orders due to ${missingProducts.size} missing products`);
+      }
+    }
+
+    // Clean up temporary tables after ALL processing is complete
+    await localConnection.query(`
+      DROP TEMPORARY TABLE IF EXISTS temp_order_items;
+      DROP TEMPORARY TABLE IF EXISTS temp_order_meta;
+      DROP TEMPORARY TABLE IF EXISTS temp_order_discounts;
+      DROP TEMPORARY TABLE IF EXISTS temp_order_taxes;
+      DROP TEMPORARY TABLE IF EXISTS temp_order_costs;
+    `);
+
+    // Only update sync status if we get here (no errors thrown)
+    await localConnection.query(`
+      INSERT INTO sync_status (table_name, last_sync_timestamp)
+      VALUES ('orders', NOW())
+      ON DUPLICATE KEY UPDATE last_sync_timestamp = NOW()
+    `);
+
+    return {
+      status: "complete",
+      totalImported: Math.floor(importedCount),
+      recordsAdded: recordsAdded || 0,
+      recordsUpdated: Math.floor(recordsUpdated),
+      totalSkipped: skippedOrders.size,
+      missingProducts: missingProducts.size,
+      incrementalUpdate,
+      lastSyncTime
+    };
+  } catch (error) {
+    console.error("Error during orders import:", error);
+    throw error;
+  }
+}
+
+module.exports = importOrders;

inventory-server/scripts/import/products.js

@@ -0,0 +1,739 @@
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
+
+// Utility functions
+const imageUrlBase = 'https://sbing.com/i/products/0000/';
+const getImageUrls = (pid, iid = 1) => {
+  const paddedPid = pid.toString().padStart(6, '0');
+  // Use padded PID only for the first 3 digits
+  const prefix = paddedPid.slice(0, 3);
+  // Use the actual pid for the rest of the URL
+  const basePath = `${imageUrlBase}${prefix}/${pid}`;
+  return {
+    image: `${basePath}-t-${iid}.jpg`,
+    image_175: `${basePath}-175x175-${iid}.jpg`,
+    image_full: `${basePath}-o-${iid}.jpg`
+  };
+};
+
+async function setupAndCleanupTempTables(connection, operation = 'setup') {
+  if (operation === 'setup') {
+    await connection.query(`
+      CREATE TEMPORARY TABLE IF NOT EXISTS temp_products (
+        pid BIGINT NOT NULL,
+        title VARCHAR(255),
+        description TEXT,
+        SKU VARCHAR(50),
+        stock_quantity INT DEFAULT 0,
+        pending_qty INT DEFAULT 0,
+        preorder_count INT DEFAULT 0,
+        notions_inv_count INT 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),
+        category_ids TEXT,
+        created_at DATETIME,
+        first_received DATETIME,
+        landing_cost_price DECIMAL(10,3),
+        barcode VARCHAR(50),
+        harmonized_tariff_code VARCHAR(50),
+        updated_at DATETIME,
+        visible BOOLEAN,
+        replenishable BOOLEAN,
+        permalink VARCHAR(255),
+        moq DECIMAL(10,3),
+        rating DECIMAL(10,2),
+        reviews INT,
+        weight DECIMAL(10,3),
+        length DECIMAL(10,3),
+        width DECIMAL(10,3),
+        height DECIMAL(10,3),
+        country_of_origin VARCHAR(100),
+        location VARCHAR(100),
+        total_sold INT,
+        baskets INT,
+        notifies INT,
+        date_last_sold DATETIME,
+        needs_update BOOLEAN DEFAULT TRUE,
+        PRIMARY KEY (pid),
+        INDEX idx_needs_update (needs_update)
+      ) ENGINE=InnoDB;
+    `);
+  } else {
+    await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_products;');
+  }
+}
+
+async function materializeCalculations(prodConnection, localConnection, incrementalUpdate = true, lastSyncTime = '1970-01-01') {
+  outputProgress({
+    status: "running",
+    operation: "Products import",
+    message: "Fetching product data from production"
+  });
+
+  // Get all product data in a single optimized query
+  const [prodData] = await prodConnection.query(`
+    SELECT 
+      p.pid,
+      p.description AS title,
+      p.notes AS description,
+      p.itemnumber AS SKU,
+      p.date_created,
+      p.datein AS first_received,
+      p.location,
+      p.upc AS barcode,
+      p.harmonized_tariff_code,
+      p.stamp AS updated_at,
+      CASE WHEN si.show + si.buyable > 0 THEN 1 ELSE 0 END AS visible,
+      CASE 
+        WHEN p.reorder < 0 THEN 0
+        WHEN (
+          (IFNULL(pls.date_sold, '0000-00-00') = '0000-00-00' OR pls.date_sold <= DATE_SUB(CURDATE(), INTERVAL 5 YEAR))
+          OR (p.datein = '0000-00-00 00:00:00' OR p.datein <= DATE_SUB(NOW(), INTERVAL 5 YEAR))
+          OR (p.date_refill = '0000-00-00 00:00:00' OR p.date_refill <= DATE_SUB(NOW(), INTERVAL 5 YEAR))
+        ) THEN 0
+        ELSE 1
+      END AS replenishable,
+      COALESCE(si.available_local, 0) - COALESCE(
+        (SELECT SUM(oi.qty_ordered - oi.qty_placed)
+         FROM order_items oi
+         JOIN _order o ON oi.order_id = o.order_id
+         WHERE oi.prod_pid = p.pid
+           AND o.date_placed != '0000-00-00 00:00:00'
+           AND o.date_shipped = '0000-00-00 00:00:00'
+           AND oi.pick_finished = 0
+           AND oi.qty_back = 0
+           AND o.order_status != 15
+           AND o.order_status < 90
+           AND oi.qty_ordered >= oi.qty_placed
+           AND oi.qty_ordered > 0
+        ), 0
+      ) as stock_quantity,
+      COALESCE(
+        (SELECT SUM(oi.qty_ordered - oi.qty_placed)
+         FROM order_items oi
+         JOIN _order o ON oi.order_id = o.order_id
+         WHERE oi.prod_pid = p.pid
+           AND o.date_placed != '0000-00-00 00:00:00'
+           AND o.date_shipped = '0000-00-00 00:00:00'
+           AND oi.pick_finished = 0
+           AND oi.qty_back = 0
+           AND o.order_status != 15
+           AND o.order_status < 90
+           AND oi.qty_ordered >= oi.qty_placed
+           AND oi.qty_ordered > 0
+        ), 0
+      ) as pending_qty,
+      COALESCE(ci.onpreorder, 0) as preorder_count,
+      COALESCE(pnb.inventory, 0) as notions_inv_count,
+      COALESCE(pcp.price_each, 0) as price,
+      COALESCE(p.sellingprice, 0) AS regular_price,
+      CASE 
+        WHEN EXISTS (SELECT 1 FROM product_inventory WHERE pid = p.pid AND count > 0) 
+        THEN (SELECT ROUND(AVG(costeach), 5) FROM product_inventory WHERE pid = p.pid AND count > 0)
+        ELSE (SELECT costeach FROM product_inventory WHERE pid = p.pid ORDER BY daterec DESC LIMIT 1)
+      END AS cost_price,
+      NULL as landing_cost_price,
+      s.companyname AS vendor,
+      CASE 
+        WHEN s.companyname = 'Notions' THEN sid.notions_itemnumber 
+        ELSE sid.supplier_itemnumber 
+      END AS vendor_reference,
+      sid.notions_itemnumber AS notions_reference,
+      CONCAT('https://www.acherryontop.com/shop/product/', p.pid) AS permalink,
+      pc1.name AS brand,
+      pc2.name AS line,
+      pc3.name AS subline,
+      pc4.name AS artist,
+      COALESCE(CASE 
+        WHEN sid.supplier_id = 92 THEN sid.notions_qty_per_unit
+        ELSE sid.supplier_qty_per_unit
+      END, sid.notions_qty_per_unit) AS moq,
+      p.rating,
+      p.rating_votes AS reviews,
+      p.weight,
+      p.length,
+      p.width,
+      p.height,
+      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,
+      p.totalsold AS total_sold,
+      pls.date_sold as date_last_sold,
+      GROUP_CONCAT(DISTINCT CASE 
+        WHEN pc.cat_id IS NOT NULL 
+        AND pc.type IN (10, 20, 11, 21, 12, 13)
+        AND pci.cat_id NOT IN (16, 17)
+        THEN pci.cat_id 
+      END) as category_ids
+    FROM products p
+    LEFT JOIN shop_inventory si ON p.pid = si.pid AND si.store = 0
+    LEFT JOIN current_inventory ci ON p.pid = ci.pid
+    LEFT JOIN product_notions_b2b pnb ON p.pid = pnb.pid
+    LEFT JOIN product_current_prices pcp ON p.pid = pcp.pid AND pcp.active = 1
+    LEFT JOIN supplier_item_data sid ON p.pid = sid.pid
+    LEFT JOIN suppliers s ON sid.supplier_id = s.supplierid
+    LEFT JOIN product_category_index pci ON p.pid = pci.pid
+    LEFT JOIN product_categories pc ON pci.cat_id = pc.cat_id
+    LEFT JOIN product_categories pc1 ON p.company = pc1.cat_id
+    LEFT JOIN product_categories pc2 ON p.line = pc2.cat_id
+    LEFT JOIN product_categories pc3 ON p.subline = pc3.cat_id
+    LEFT JOIN product_categories pc4 ON p.artist = pc4.cat_id
+    LEFT JOIN product_last_sold pls ON p.pid = pls.pid
+    WHERE ${incrementalUpdate ? `
+      p.stamp > ? OR
+      ci.stamp > ? OR
+      pcp.date_deactive > ? OR
+      pcp.date_active > ? OR
+      pnb.date_updated > ?
+    ` : 'TRUE'}
+    GROUP BY p.pid
+  `, incrementalUpdate ? [lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime] : []);
+
+  outputProgress({
+    status: "running",
+    operation: "Products import",
+    message: `Processing ${prodData.length} product records`
+  });
+
+  // Insert all product data into temp table in batches
+  for (let i = 0; i < prodData.length; i += 1000) {
+    const batch = prodData.slice(i, i + 1000);
+    const values = batch.map(row => [
+      row.pid,
+      row.title,
+      row.description,
+      row.SKU,
+      // Set stock quantity to 0 if it's over 5000
+      row.stock_quantity > 5000 ? 0 : Math.max(0, row.stock_quantity),
+      row.pending_qty,
+      row.preorder_count,
+      row.notions_inv_count,
+      row.price,
+      row.regular_price,
+      row.cost_price,
+      row.vendor,
+      row.vendor_reference,
+      row.notions_reference,
+      row.brand,
+      row.line,
+      row.subline,
+      row.artist,
+      row.category_ids,
+      row.date_created,  // map to created_at
+      row.first_received,
+      row.landing_cost_price,
+      row.barcode,
+      row.harmonized_tariff_code,
+      row.updated_at,
+      row.visible,
+      row.replenishable,
+      row.permalink,
+      row.moq,
+      row.rating ? Number(row.rating).toFixed(2) : null,
+      row.reviews,
+      row.weight,
+      row.length,
+      row.width,
+      row.height,
+      row.country_of_origin,
+      row.location,
+      row.total_sold,
+      row.baskets,
+      row.notifies,
+      row.date_last_sold,
+      true  // Mark as needing update
+    ]);
+
+    if (values.length > 0) {
+      await localConnection.query(`
+        INSERT INTO temp_products (
+          pid, title, description, SKU, 
+          stock_quantity, pending_qty, preorder_count, notions_inv_count,
+          price, regular_price, cost_price,
+          vendor, vendor_reference, notions_reference,
+          brand, line, subline, artist,
+          category_ids, created_at, first_received,
+          landing_cost_price, barcode, harmonized_tariff_code,
+          updated_at, visible, replenishable, permalink,
+          moq, rating, reviews, weight, length, width,
+          height, country_of_origin, location, total_sold,
+          baskets, notifies, date_last_sold, needs_update
+        )
+        VALUES ?
+        ON DUPLICATE KEY UPDATE
+          title = VALUES(title),
+          description = VALUES(description),
+          SKU = VALUES(SKU),
+          stock_quantity = VALUES(stock_quantity),
+          pending_qty = VALUES(pending_qty),
+          preorder_count = VALUES(preorder_count),
+          notions_inv_count = VALUES(notions_inv_count),
+          price = VALUES(price),
+          regular_price = VALUES(regular_price),
+          cost_price = VALUES(cost_price),
+          vendor = VALUES(vendor),
+          vendor_reference = VALUES(vendor_reference),
+          notions_reference = VALUES(notions_reference),
+          brand = VALUES(brand),
+          line = VALUES(line),
+          subline = VALUES(subline),
+          artist = VALUES(artist),
+          category_ids = VALUES(category_ids),
+          created_at = VALUES(created_at),
+          first_received = VALUES(first_received),
+          landing_cost_price = VALUES(landing_cost_price),
+          barcode = VALUES(barcode),
+          harmonized_tariff_code = VALUES(harmonized_tariff_code),
+          updated_at = VALUES(updated_at),
+          visible = VALUES(visible),
+          replenishable = VALUES(replenishable),
+          permalink = VALUES(permalink),
+          moq = VALUES(moq),
+          rating = VALUES(rating),
+          reviews = VALUES(reviews),
+          weight = VALUES(weight),
+          length = VALUES(length),
+          width = VALUES(width),
+          height = VALUES(height),
+          country_of_origin = VALUES(country_of_origin),
+          location = VALUES(location),
+          total_sold = VALUES(total_sold),
+          baskets = VALUES(baskets),
+          notifies = VALUES(notifies),
+          date_last_sold = VALUES(date_last_sold),
+          needs_update = TRUE
+      `, [values]);
+    }
+
+    outputProgress({
+      status: "running",
+      operation: "Products import",
+      message: `Processed ${Math.min(i + 1000, prodData.length)} of ${prodData.length} product records`,
+      current: i + batch.length,
+      total: prodData.length
+    });
+  }
+
+  outputProgress({
+    status: "running",
+    operation: "Products import",
+    message: "Finished materializing calculations"
+  });
+}
+
+async function importProducts(prodConnection, localConnection, incrementalUpdate = true) {
+  const startTime = Date.now();
+  let recordsAdded = 0;
+  let recordsUpdated = 0;
+
+  try {
+    // Get column names first
+    const [columns] = await localConnection.query(`
+      SELECT COLUMN_NAME 
+      FROM INFORMATION_SCHEMA.COLUMNS 
+      WHERE TABLE_NAME = 'products'
+      ORDER BY ORDINAL_POSITION
+    `);
+    const columnNames = columns.map(col => col.COLUMN_NAME);
+
+    // Get last sync info
+    const [syncInfo] = await localConnection.query(
+      "SELECT last_sync_timestamp FROM sync_status WHERE table_name = 'products'"
+    );
+    const lastSyncTime = syncInfo?.[0]?.last_sync_timestamp || '1970-01-01';
+    
+    console.log('Products: Using last sync time:', lastSyncTime);
+
+    // Setup temporary tables
+    await setupAndCleanupTempTables(localConnection, 'setup');
+    
+    // Materialize calculations - this will populate temp_products
+    await materializeCalculations(prodConnection, localConnection, incrementalUpdate, lastSyncTime);
+
+    // Get actual count from temp table - only count products that need updates
+    const [[{ actualTotal }]] = await localConnection.query(`
+      SELECT COUNT(DISTINCT pid) as actualTotal 
+      FROM temp_products 
+      WHERE needs_update = 1
+    `);
+
+    console.log('Products: Found changes:', actualTotal);
+    
+    // Process in batches
+    const BATCH_SIZE = 5000;
+    let processed = 0;
+    
+    while (processed < actualTotal) {
+      const [batch] = await localConnection.query(`
+        SELECT * FROM temp_products
+        WHERE needs_update = 1
+        LIMIT ? OFFSET ?
+      `, [BATCH_SIZE, processed]);
+
+      if (!batch || batch.length === 0) break;
+      
+      // Add image URLs
+      batch.forEach(row => {
+        const urls = getImageUrls(row.pid);
+        row.image = urls.image;
+        row.image_175 = urls.image_175;
+        row.image_full = urls.image_full;
+      });
+
+      if (batch.length > 0) {
+        // Get existing products in one query
+        const [existingProducts] = await localConnection.query(
+          `SELECT ${columnNames.join(',')} FROM products WHERE pid IN (?)`,
+          [batch.map(p => p.pid)]
+        );
+        const existingPidsMap = new Map(existingProducts.map(p => [p.pid, p]));
+
+        // Split into inserts and updates
+        const insertsAndUpdates = batch.reduce((acc, product) => {
+          if (existingPidsMap.has(product.pid)) {
+            const existing = existingPidsMap.get(product.pid);
+            // Check if any values are different
+            const hasChanges = columnNames.some(col => {
+              const newVal = product[col] ?? null;
+              const oldVal = existing[col] ?? null;
+              if (col === "managing_stock") return false; // Skip this as it's always 1
+              if (typeof newVal === 'number' && typeof oldVal === 'number') {
+                return Math.abs(newVal - oldVal) > 0.00001;
+              }
+              return newVal !== oldVal;
+            });
+
+            if (hasChanges) {
+              acc.updates.push(product);
+            }
+          } else {
+            acc.inserts.push(product);
+          }
+          return acc;
+        }, { inserts: [], updates: [] });
+
+        // Process inserts
+        if (insertsAndUpdates.inserts.length > 0) {
+          const insertValues = insertsAndUpdates.inserts.map(product => 
+            columnNames.map(col => {
+              const val = product[col] ?? null;
+              if (col === "managing_stock") return 1;
+              return val;
+            })
+          );
+
+          const insertPlaceholders = insertsAndUpdates.inserts
+            .map(() => `(${Array(columnNames.length).fill('?').join(',')})`)
+            .join(',');
+
+          const insertResult = await localConnection.query(`
+            INSERT INTO products (${columnNames.join(',')})
+            VALUES ${insertPlaceholders}
+          `, insertValues.flat());
+
+          recordsAdded += insertResult[0].affectedRows;
+        }
+
+        // Process updates
+        if (insertsAndUpdates.updates.length > 0) {
+          const updateValues = insertsAndUpdates.updates.map(product => 
+            columnNames.map(col => {
+              const val = product[col] ?? null;
+              if (col === "managing_stock") return 1;
+              return val;
+            })
+          );
+
+          const updatePlaceholders = insertsAndUpdates.updates
+            .map(() => `(${Array(columnNames.length).fill('?').join(',')})`)
+            .join(',');
+
+          const updateResult = await localConnection.query(`
+            INSERT INTO products (${columnNames.join(',')})
+            VALUES ${updatePlaceholders}
+            ON DUPLICATE KEY UPDATE
+            ${columnNames
+              .filter(col => col !== 'pid')
+              .map(col => `${col} = VALUES(${col})`)
+              .join(',')};
+          `, updateValues.flat());
+
+          recordsUpdated += insertsAndUpdates.updates.length;
+        }
+
+        // Process category relationships
+        if (batch.some(p => p.category_ids)) {
+          const categoryRelationships = batch
+            .filter(p => p.category_ids)
+            .flatMap(product => 
+              product.category_ids
+                .split(',')
+                .map(id => id.trim())
+                .filter(id => id)
+                .map(Number)
+                .filter(id => !isNaN(id))
+                .map(catId => [catId, product.pid])
+            );
+
+          if (categoryRelationships.length > 0) {
+            // Verify categories exist before inserting relationships
+            const uniqueCatIds = [...new Set(categoryRelationships.map(([catId]) => catId))];
+            const [existingCats] = await localConnection.query(
+              "SELECT cat_id FROM categories WHERE cat_id IN (?)",
+              [uniqueCatIds]
+            );
+            const existingCatIds = new Set(existingCats.map(c => c.cat_id));
+
+            // Filter relationships to only include existing categories
+            const validRelationships = categoryRelationships.filter(([catId]) => 
+              existingCatIds.has(catId)
+            );
+
+            if (validRelationships.length > 0) {
+              const catPlaceholders = validRelationships
+                .map(() => "(?, ?)")
+                .join(",");
+              await localConnection.query(
+                `INSERT IGNORE INTO product_categories (cat_id, pid)
+                 VALUES ${catPlaceholders}`,
+                validRelationships.flat()
+              );
+            }
+          }
+        }
+      }
+
+      processed += batch.length;
+
+      outputProgress({
+        status: "running",
+        operation: "Products import",
+        message: `Processed ${processed} of ${actualTotal} products`,
+        current: processed,
+        total: actualTotal,
+        elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+        remaining: estimateRemaining(startTime, processed, actualTotal),
+        rate: calculateRate(startTime, processed)
+      });
+    }
+
+    // Drop temporary tables
+    await setupAndCleanupTempTables(localConnection, 'cleanup');
+
+    // Only update sync status if we get here (no errors thrown)
+    await localConnection.query(`
+      INSERT INTO sync_status (table_name, last_sync_timestamp)
+      VALUES ('products', NOW())
+      ON DUPLICATE KEY UPDATE last_sync_timestamp = NOW()
+    `);
+
+    return {
+      status: "complete",
+      totalImported: actualTotal,
+      recordsAdded: recordsAdded || 0,
+      recordsUpdated: recordsUpdated || 0,
+      incrementalUpdate,
+      lastSyncTime
+    };
+  } catch (error) {
+    throw error;
+  }
+}
+
+async function importMissingProducts(prodConnection, localConnection, missingPids) {
+  try {
+    // Get column names first
+    const [columns] = await localConnection.query(`
+      SELECT COLUMN_NAME 
+      FROM INFORMATION_SCHEMA.COLUMNS 
+      WHERE TABLE_NAME = 'products'
+      ORDER BY ORDINAL_POSITION
+    `);
+    const columnNames = columns.map((col) => col.COLUMN_NAME);
+
+    // Get the missing products with all their data in one optimized query
+    const [products] = await prodConnection.query(`
+      SELECT 
+        p.pid,
+        p.description AS title,
+        p.notes AS description,
+        p.itemnumber AS SKU,
+        p.date_created,
+        p.datein AS first_received,
+        p.location,
+        p.upc AS barcode,
+        p.harmonized_tariff_code,
+        p.stamp AS updated_at,
+        CASE WHEN si.show + si.buyable > 0 THEN 1 ELSE 0 END AS visible,
+        CASE 
+          WHEN p.reorder < 0 THEN 0
+          WHEN (
+            (IFNULL(pls.date_sold, '0000-00-00') = '0000-00-00' OR pls.date_sold <= DATE_SUB(CURDATE(), INTERVAL 5 YEAR))
+            OR (p.datein = '0000-00-00 00:00:00' OR p.datein <= DATE_SUB(NOW(), INTERVAL 5 YEAR))
+            OR (p.date_refill = '0000-00-00 00:00:00' OR p.date_refill <= DATE_SUB(NOW(), INTERVAL 5 YEAR))
+          ) THEN 0
+          ELSE 1
+        END AS replenishable,
+        COALESCE(si.available_local, 0) as stock_quantity,
+        COALESCE(
+          (SELECT SUM(oi.qty_ordered - oi.qty_placed)
+           FROM order_items oi
+           JOIN _order o ON oi.order_id = o.order_id
+           WHERE oi.prod_pid = p.pid
+             AND o.date_placed != '0000-00-00 00:00:00'
+             AND o.date_shipped = '0000-00-00 00:00:00'
+             AND oi.pick_finished = 0
+             AND oi.qty_back = 0
+             AND o.order_status != 15
+             AND o.order_status < 90
+             AND oi.qty_ordered >= oi.qty_placed
+             AND oi.qty_ordered > 0
+          ), 0
+        ) as pending_qty,
+        COALESCE(ci.onpreorder, 0) as preorder_count,
+        COALESCE(pnb.inventory, 0) as notions_inv_count,
+        COALESCE(pcp.price_each, 0) as price,
+        COALESCE(p.sellingprice, 0) AS regular_price,
+        CASE 
+          WHEN EXISTS (SELECT 1 FROM product_inventory WHERE pid = p.pid AND count > 0) 
+          THEN (SELECT ROUND(AVG(costeach), 5) FROM product_inventory WHERE pid = p.pid AND count > 0)
+          ELSE (SELECT costeach FROM product_inventory WHERE pid = p.pid ORDER BY daterec DESC LIMIT 1)
+        END AS cost_price,
+        NULL AS landing_cost_price,
+        p.rating,
+        p.rating_votes AS reviews,
+        p.weight,
+        p.length,
+        p.width,
+        p.height,
+        (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,
+        p.totalsold AS total_sold,
+        p.country_of_origin,
+        pls.date_sold as date_last_sold,
+        GROUP_CONCAT(DISTINCT CASE WHEN pc.cat_id IS NOT NULL THEN pci.cat_id END) as category_ids
+      FROM products p
+        LEFT JOIN shop_inventory si ON p.pid = si.pid AND si.store = 0
+        LEFT JOIN supplier_item_data sid ON p.pid = sid.pid
+        LEFT JOIN suppliers s ON sid.supplier_id = s.supplierid
+        LEFT JOIN product_category_index pci ON p.pid = pci.pid
+        LEFT JOIN product_categories pc ON pci.cat_id = pc.cat_id 
+          AND pc.type IN (10, 20, 11, 21, 12, 13)
+          AND pci.cat_id NOT IN (16, 17)
+        LEFT JOIN product_categories pc1 ON p.company = pc1.cat_id
+        LEFT JOIN product_categories pc2 ON p.line = pc2.cat_id
+        LEFT JOIN product_categories pc3 ON p.subline = pc3.cat_id
+        LEFT JOIN product_categories pc4 ON p.artist = pc4.cat_id
+        LEFT JOIN product_last_sold pls ON p.pid = pls.pid
+        LEFT JOIN current_inventory ci ON p.pid = ci.pid
+        LEFT JOIN product_current_prices pcp ON p.pid = pcp.pid AND pcp.active = 1
+        LEFT JOIN product_notions_b2b pnb ON p.pid = pnb.pid
+      WHERE p.pid IN (?)
+      GROUP BY p.pid
+    `, [missingPids]);
+
+    // Add image URLs
+    products.forEach(product => {
+      const urls = getImageUrls(product.pid);
+      product.image = urls.image;
+      product.image_175 = urls.image_175;
+      product.image_full = urls.image_full;
+    });
+
+    let recordsAdded = 0;
+    let recordsUpdated = 0;
+
+    if (products.length > 0) {
+      // Map values in the same order as columns
+      const productValues = products.flatMap(product => 
+        columnNames.map(col => {
+          const val = product[col] ?? null;
+          if (col === "managing_stock") return 1;
+          if (typeof val === "number") return val || 0;
+          return val;
+        })
+      );
+
+      // Generate placeholders for all products
+      const placeholders = products
+        .map(() => `(${Array(columnNames.length).fill("?").join(",")})`)
+        .join(",");
+
+      // Build and execute the query
+      const query = `
+        INSERT INTO products (${columnNames.join(",")})
+        VALUES ${placeholders}
+        ON DUPLICATE KEY UPDATE ${columnNames
+          .filter((col) => col !== "pid")
+          .map((col) => `${col} = VALUES(${col})`)
+          .join(",")};
+      `;
+
+      const result = await localConnection.query(query, productValues);
+      recordsAdded = result.affectedRows - result.changedRows;
+      recordsUpdated = result.changedRows;
+
+      // Handle category relationships if any
+      const categoryRelationships = [];
+      products.forEach(product => {
+        if (product.category_ids) {
+          const catIds = product.category_ids
+            .split(",")
+            .map(id => id.trim())
+            .filter(id => id)
+            .map(Number);
+          catIds.forEach(catId => {
+            if (catId) categoryRelationships.push([catId, product.pid]);
+          });
+        }
+      });
+
+      if (categoryRelationships.length > 0) {
+        // Verify categories exist before inserting relationships
+        const uniqueCatIds = [...new Set(categoryRelationships.map(([catId]) => catId))];
+        const [existingCats] = await localConnection.query(
+          "SELECT cat_id FROM categories WHERE cat_id IN (?)",
+          [uniqueCatIds]
+        );
+        const existingCatIds = new Set(existingCats.map(c => c.cat_id));
+
+        // Filter relationships to only include existing categories
+        const validRelationships = categoryRelationships.filter(([catId]) => 
+          existingCatIds.has(catId)
+        );
+
+        if (validRelationships.length > 0) {
+          const catPlaceholders = validRelationships
+            .map(() => "(?, ?)")
+            .join(",");
+          await localConnection.query(
+            `INSERT IGNORE INTO product_categories (cat_id, pid)
+             VALUES ${catPlaceholders}`,
+            validRelationships.flat()
+          );
+        }
+      }
+    }
+
+    return {
+      status: "complete",
+      totalImported: products.length,
+      recordsAdded,
+      recordsUpdated
+    };
+  } catch (error) {
+    throw error;
+  }
+}
+
+module.exports = {
+  importProducts,
+  importMissingProducts
+};

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

@@ -0,0 +1,543 @@
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
+
+async function importPurchaseOrders(prodConnection, localConnection, incrementalUpdate = true) {
+  const startTime = Date.now();
+  let recordsAdded = 0;
+  let recordsUpdated = 0;
+
+  try {
+    // Get last sync info
+    const [syncInfo] = await localConnection.query(
+      "SELECT last_sync_timestamp FROM sync_status WHERE table_name = 'purchase_orders'"
+    );
+    const lastSyncTime = syncInfo?.[0]?.last_sync_timestamp || '1970-01-01';
+
+    console.log('Purchase Orders: Using last sync time:', lastSyncTime);
+
+    // Insert temporary table creation query for purchase orders
+    await localConnection.query(`
+      CREATE TABLE IF NOT EXISTS temp_purchase_orders (
+        po_id INT UNSIGNED NOT NULL,
+        pid INT UNSIGNED NOT NULL,
+        vendor VARCHAR(255),
+        date DATE,
+        expected_date DATE,
+        status INT,
+        notes TEXT,
+        PRIMARY KEY (po_id, pid)
+      ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
+    `);
+
+    outputProgress({
+      operation: `Starting ${incrementalUpdate ? 'incremental' : 'full'} purchase orders import`,
+      status: "running",
+    });
+
+    // Get column names for the insert
+    const [columns] = await localConnection.query(`
+      SELECT COLUMN_NAME 
+      FROM INFORMATION_SCHEMA.COLUMNS 
+      WHERE TABLE_NAME = 'purchase_orders'
+      ORDER BY ORDINAL_POSITION
+    `);
+    const columnNames = columns
+      .map((col) => col.COLUMN_NAME)
+      .filter((name) => name !== "id");
+
+    // Build incremental conditions
+    const incrementalWhereClause = incrementalUpdate
+      ? `AND (
+          p.date_updated > ? 
+          OR p.date_ordered > ?
+          OR p.date_estin > ?
+          OR r.date_updated > ?
+          OR r.date_created > ?
+          OR r.date_checked > ?
+          OR rp.stamp > ?
+          OR rp.received_date > ?
+        )`
+      : "";
+    const incrementalParams = incrementalUpdate
+      ? [lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime]
+      : [];
+
+    // First get all relevant PO IDs with basic info
+    const [[{ total }]] = await prodConnection.query(`
+      SELECT COUNT(*) as total
+      FROM (
+        SELECT DISTINCT pop.po_id, pop.pid
+        FROM po p 
+        USE INDEX (idx_date_created)
+        JOIN po_products pop ON p.po_id = pop.po_id
+        JOIN suppliers s ON p.supplier_id = s.supplierid
+        WHERE p.date_ordered >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
+          ${incrementalUpdate ? `
+            AND (
+              p.date_updated > ? 
+              OR p.date_ordered > ?
+              OR p.date_estin > ?
+            )
+          ` : ''}
+        UNION
+        SELECT DISTINCT r.receiving_id as po_id, rp.pid
+        FROM receivings_products rp
+        USE INDEX (received_date)
+        LEFT JOIN receivings r ON r.receiving_id = rp.receiving_id
+        WHERE rp.received_date >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
+          ${incrementalUpdate ? `
+            AND (
+              r.date_created > ?
+              OR r.date_checked > ?
+              OR rp.stamp > ?
+              OR rp.received_date > ?
+            )
+          ` : ''}
+      ) all_items
+    `, incrementalUpdate ? [
+      lastSyncTime, lastSyncTime, lastSyncTime,  // PO conditions
+      lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime  // Receiving conditions
+    ] : []);
+
+    console.log('Purchase Orders: Found changes:', total);
+
+    const [poList] = await prodConnection.query(`
+      SELECT DISTINCT 
+        COALESCE(p.po_id, r.receiving_id) as po_id,
+        COALESCE(
+          NULLIF(s1.companyname, ''),
+          NULLIF(s2.companyname, ''),
+          'Unknown Vendor'
+        ) as vendor,
+        CASE 
+          WHEN p.po_id IS NOT NULL THEN 
+            DATE(COALESCE(
+              NULLIF(p.date_ordered, '0000-00-00 00:00:00'),
+              p.date_created
+            ))
+          WHEN r.receiving_id IS NOT NULL THEN
+            DATE(r.date_created)
+        END as date,
+        CASE 
+          WHEN p.date_estin = '0000-00-00' THEN NULL
+          WHEN p.date_estin IS NULL THEN NULL
+          WHEN p.date_estin NOT REGEXP '^[0-9]{4}-[0-9]{2}-[0-9]{2}$' THEN NULL
+          ELSE p.date_estin
+        END as expected_date,
+        COALESCE(p.status, 50) as status,
+        p.short_note as notes,
+        p.notes as long_note
+      FROM (
+        SELECT po_id FROM po 
+        USE INDEX (idx_date_created)
+        WHERE date_ordered >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
+          ${incrementalUpdate ? `
+            AND (
+              date_ordered > ? 
+              OR date_updated > ?
+              OR date_estin > ?
+            )
+          ` : ''}
+        UNION
+        SELECT DISTINCT r.receiving_id as po_id
+        FROM receivings r
+        JOIN receivings_products rp USE INDEX (received_date) ON r.receiving_id = rp.receiving_id
+        WHERE rp.received_date >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
+          ${incrementalUpdate ? `
+            AND (
+              r.date_created > ?
+              OR r.date_checked > ?
+              OR rp.stamp > ?
+              OR rp.received_date > ?
+            )
+          ` : ''}
+      ) ids
+      LEFT JOIN po p ON ids.po_id = p.po_id
+      LEFT JOIN suppliers s1 ON p.supplier_id = s1.supplierid
+      LEFT JOIN receivings r ON ids.po_id = r.receiving_id
+      LEFT JOIN suppliers s2 ON r.supplier_id = s2.supplierid
+      ORDER BY po_id
+    `, incrementalUpdate ? [
+      lastSyncTime, lastSyncTime, lastSyncTime,  // PO conditions
+      lastSyncTime, lastSyncTime, lastSyncTime, lastSyncTime  // Receiving conditions
+    ] : []);
+
+    console.log('Sample PO dates:', poList.slice(0, 5).map(po => ({
+      po_id: po.po_id,
+      raw_date_ordered: po.raw_date_ordered,
+      raw_date_created: po.raw_date_created,
+      raw_date_estin: po.raw_date_estin,
+      computed_date: po.date,
+      expected_date: po.expected_date
+    })));
+
+    const totalItems = total;
+    let processed = 0;
+
+    const BATCH_SIZE = 5000;
+    const PROGRESS_INTERVAL = 500;
+    let lastProgressUpdate = Date.now();
+
+    outputProgress({
+      operation: `Starting purchase orders import - Processing ${totalItems} purchase order items`,
+      status: "running",
+    });
+
+    for (let i = 0; i < poList.length; i += BATCH_SIZE) {
+      const batch = poList.slice(i, Math.min(i + BATCH_SIZE, poList.length));
+      const poIds = batch.map(po => po.po_id);
+
+      // Get all products for these POs in one query
+      const [poProducts] = await prodConnection.query(`
+        SELECT 
+          pop.po_id,
+          pop.pid,
+          pr.itemnumber as sku,
+          pr.description as name,
+          pop.cost_each,
+          pop.qty_each as ordered
+        FROM po_products pop
+        USE INDEX (PRIMARY)
+        JOIN products pr ON pop.pid = pr.pid
+        WHERE pop.po_id IN (?)
+      `, [poIds]);
+
+      // Process PO products in smaller sub-batches to avoid packet size issues
+      const SUB_BATCH_SIZE = 5000;
+      for (let j = 0; j < poProducts.length; j += SUB_BATCH_SIZE) {
+        const productBatch = poProducts.slice(j, j + SUB_BATCH_SIZE);
+        const productPids = [...new Set(productBatch.map(p => p.pid))];
+        const batchPoIds = [...new Set(productBatch.map(p => p.po_id))];
+
+        // Get receivings for this batch with employee names
+        const [receivings] = await prodConnection.query(`
+          SELECT 
+            r.po_id,
+            rp.pid,
+            rp.receiving_id,
+            rp.qty_each,
+            rp.cost_each,
+            COALESCE(rp.received_date, r.date_created) as received_date,
+            rp.received_by,
+            CONCAT(e.firstname, ' ', e.lastname) as received_by_name,
+            CASE 
+              WHEN r.po_id IS NULL THEN 2  -- No PO
+              WHEN r.po_id IN (?) THEN 0   -- Original PO
+              ELSE 1                       -- Different PO
+            END as is_alt_po
+          FROM receivings_products rp
+          USE INDEX (received_date)
+          LEFT JOIN receivings r ON r.receiving_id = rp.receiving_id
+          LEFT JOIN employees e ON rp.received_by = e.employeeid
+          WHERE rp.pid IN (?)
+            AND rp.received_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR)
+          ORDER BY r.po_id, rp.pid, rp.received_date
+        `, [batchPoIds, productPids]);
+
+        // Create maps for this sub-batch
+        const poProductMap = new Map();
+        productBatch.forEach(product => {
+          const key = `${product.po_id}-${product.pid}`;
+          poProductMap.set(key, product);
+        });
+
+        const receivingMap = new Map();
+        const altReceivingMap = new Map();
+        const noPOReceivingMap = new Map();
+        
+        receivings.forEach(receiving => {
+          const key = `${receiving.po_id}-${receiving.pid}`;
+          if (receiving.is_alt_po === 2) {
+            // No PO
+            if (!noPOReceivingMap.has(receiving.pid)) {
+              noPOReceivingMap.set(receiving.pid, []);
+            }
+            noPOReceivingMap.get(receiving.pid).push(receiving);
+          } else if (receiving.is_alt_po === 1) {
+            // Different PO
+            if (!altReceivingMap.has(receiving.pid)) {
+              altReceivingMap.set(receiving.pid, []);
+            }
+            altReceivingMap.get(receiving.pid).push(receiving);
+          } else {
+            // Original PO
+            if (!receivingMap.has(key)) {
+              receivingMap.set(key, []);
+            }
+            receivingMap.get(key).push(receiving);
+          }
+        });
+
+        // Verify PIDs exist
+        const [existingPids] = await localConnection.query(
+          'SELECT pid FROM products WHERE pid IN (?)',
+          [productPids]
+        );
+        const validPids = new Set(existingPids.map(p => p.pid));
+
+        // First check which PO lines already exist and get their current values
+        const poLines = Array.from(poProductMap.values())
+          .filter(p => validPids.has(p.pid))
+          .map(p => [p.po_id, p.pid]);
+
+        const [existingPOs] = await localConnection.query(
+          `SELECT ${columnNames.join(',')} FROM purchase_orders WHERE (po_id, pid) IN (${poLines.map(() => "(?,?)").join(",")})`,
+          poLines.flat()
+        );
+        const existingPOMap = new Map(
+          existingPOs.map(po => [`${po.po_id}-${po.pid}`, po])
+        );
+
+        // Split into inserts and updates
+        const insertsAndUpdates = { inserts: [], updates: [] };
+        let batchProcessed = 0;
+
+        for (const po of batch) {
+          const poProducts = Array.from(poProductMap.values())
+            .filter(p => p.po_id === po.po_id && validPids.has(p.pid));
+
+          for (const product of poProducts) {
+            const key = `${po.po_id}-${product.pid}`;
+            const receivingHistory = receivingMap.get(key) || [];
+            const altReceivingHistory = altReceivingMap.get(product.pid) || [];
+            const noPOReceivingHistory = noPOReceivingMap.get(product.pid) || [];
+            
+            // Combine all receivings and sort by date
+            const allReceivings = [
+              ...receivingHistory.map(r => ({ ...r, type: 'original' })),
+              ...altReceivingHistory.map(r => ({ ...r, type: 'alternate' })),
+              ...noPOReceivingHistory.map(r => ({ ...r, type: 'no_po' }))
+            ].sort((a, b) => new Date(a.received_date || '9999-12-31') - new Date(b.received_date || '9999-12-31'));
+
+            // Split receivings into original PO and others
+            const originalPOReceivings = allReceivings.filter(r => r.type === 'original');
+            const otherReceivings = allReceivings.filter(r => r.type !== 'original');
+
+            // Track FIFO fulfillment
+            let remainingToFulfill = product.ordered;
+            const fulfillmentTracking = [];
+            let totalReceived = 0;
+            let actualCost = null; // Will store the cost of the first receiving that fulfills this PO
+            let firstFulfillmentReceiving = null;
+            let lastFulfillmentReceiving = null;
+
+            for (const receiving of allReceivings) {
+              const qtyToApply = Math.min(remainingToFulfill, receiving.qty_each);
+              if (qtyToApply > 0) {
+                // If this is the first receiving being applied, use its cost
+                if (actualCost === null) {
+                  actualCost = receiving.cost_each;
+                  firstFulfillmentReceiving = receiving;
+                }
+                lastFulfillmentReceiving = receiving;
+                fulfillmentTracking.push({
+                  receiving_id: receiving.receiving_id,
+                  qty_applied: qtyToApply,
+                  qty_total: receiving.qty_each,
+                  cost: receiving.cost_each,
+                  date: receiving.received_date,
+                  received_by: receiving.received_by,
+                  received_by_name: receiving.received_by_name || 'Unknown',
+                  type: receiving.type,
+                  remaining_qty: receiving.qty_each - qtyToApply
+                });
+                remainingToFulfill -= qtyToApply;
+              } else {
+                // Track excess receivings
+                fulfillmentTracking.push({
+                  receiving_id: receiving.receiving_id,
+                  qty_applied: 0,
+                  qty_total: receiving.qty_each,
+                  cost: receiving.cost_each,
+                  date: receiving.received_date,
+                  received_by: receiving.received_by,
+                  received_by_name: receiving.received_by_name || 'Unknown',
+                  type: receiving.type,
+                  is_excess: true
+                });
+              }
+              totalReceived += receiving.qty_each;
+            }
+
+            const receiving_status = !totalReceived ? 1 : // created
+                                   remainingToFulfill > 0 ? 30 : // partial
+                                   40; // full
+
+            function formatDate(dateStr) {
+              if (!dateStr) return null;
+              if (dateStr === '0000-00-00' || dateStr === '0000-00-00 00:00:00') return null;
+              if (typeof dateStr === 'string' && !dateStr.match(/^\d{4}-\d{2}-\d{2}/)) return null;
+              try {
+                const date = new Date(dateStr);
+                if (isNaN(date.getTime())) return null;
+                if (date.getFullYear() < 1900 || date.getFullYear() > 2100) return null;
+                return date.toISOString().split('T')[0];
+              } catch (e) {
+                return null;
+              }
+            }
+
+            const rowValues = columnNames.map(col => {
+              switch (col) {
+                case 'po_id': return po.po_id;
+                case 'vendor': return po.vendor;
+                case 'date': return formatDate(po.date);
+                case 'expected_date': return formatDate(po.expected_date);
+                case 'pid': return product.pid;
+                case 'sku': return product.sku;
+                case 'name': return product.name;
+                case 'cost_price': return actualCost || product.cost_each;
+                case 'po_cost_price': return product.cost_each;
+                case 'status': return po.status;
+                case 'notes': return po.notes;
+                case 'long_note': return po.long_note;
+                case 'ordered': return product.ordered;
+                case 'received': return totalReceived;
+                case 'unfulfilled': return remainingToFulfill;
+                case 'excess_received': return Math.max(0, totalReceived - product.ordered);
+                case 'received_date': return formatDate(firstFulfillmentReceiving?.received_date);
+                case 'last_received_date': return formatDate(lastFulfillmentReceiving?.received_date);
+                case 'received_by': return firstFulfillmentReceiving?.received_by_name || null;
+                case 'receiving_status': return receiving_status;
+                case 'receiving_history': return JSON.stringify({
+                  fulfillment: fulfillmentTracking,
+                  ordered_qty: product.ordered,
+                  total_received: totalReceived,
+                  remaining_unfulfilled: remainingToFulfill,
+                  excess_received: Math.max(0, totalReceived - product.ordered),
+                  po_cost: product.cost_each,
+                  actual_cost: actualCost || product.cost_each
+                });
+                default: return null;
+              }
+            });
+
+            if (existingPOMap.has(key)) {
+              const existing = existingPOMap.get(key);
+              // Check if any values are different
+              const hasChanges = columnNames.some(col => {
+                const newVal = rowValues[columnNames.indexOf(col)];
+                const oldVal = existing[col] ?? null;
+                // Special handling for numbers to avoid type coercion issues
+                if (typeof newVal === 'number' && typeof oldVal === 'number') {
+                  return Math.abs(newVal - oldVal) > 0.00001; // Allow for tiny floating point differences
+                }
+                // Special handling for receiving_history - parse and compare
+                if (col === 'receiving_history') {
+                  const newHistory = JSON.parse(newVal || '{}');
+                  const oldHistory = JSON.parse(oldVal || '{}');
+                  return JSON.stringify(newHistory) !== JSON.stringify(oldHistory);
+                }
+                return newVal !== oldVal;
+              });
+
+              if (hasChanges) {
+                insertsAndUpdates.updates.push({
+                  po_id: po.po_id,
+                  pid: product.pid,
+                  values: rowValues
+                });
+              }
+            } else {
+              insertsAndUpdates.inserts.push({
+                po_id: po.po_id,
+                pid: product.pid,
+                values: rowValues
+              });
+            }
+            batchProcessed++;
+          }
+        }
+
+        // Handle inserts
+        if (insertsAndUpdates.inserts.length > 0) {
+          const insertPlaceholders = insertsAndUpdates.inserts
+            .map(() => `(${Array(columnNames.length).fill("?").join(",")})`)
+            .join(",");
+
+          const insertResult = await localConnection.query(`
+            INSERT INTO purchase_orders (${columnNames.join(",")})
+            VALUES ${insertPlaceholders}
+          `, insertsAndUpdates.inserts.map(i => i.values).flat());
+
+          const affectedRows = insertResult[0].affectedRows;
+          // For an upsert, MySQL counts rows twice for updates
+          // So if affectedRows is odd, we have (updates * 2 + inserts)
+          const updates = Math.floor(affectedRows / 2);
+          const inserts = affectedRows - (updates * 2);
+          
+          recordsAdded += inserts;
+          recordsUpdated += Math.floor(updates); // Ensure we never have fractional updates
+          processed += batchProcessed;
+        }
+
+        // Handle updates - now we know these actually have changes
+        if (insertsAndUpdates.updates.length > 0) {
+          const updatePlaceholders = insertsAndUpdates.updates
+            .map(() => `(${Array(columnNames.length).fill("?").join(",")})`)
+            .join(",");
+
+          const updateResult = await localConnection.query(`
+            INSERT INTO purchase_orders (${columnNames.join(",")})
+            VALUES ${updatePlaceholders}
+            ON DUPLICATE KEY UPDATE ${columnNames
+              .filter((col) => col !== "po_id" && col !== "pid")
+              .map((col) => `${col} = VALUES(${col})`)
+              .join(",")};
+          `, insertsAndUpdates.updates.map(u => u.values).flat());
+
+          const affectedRows = updateResult[0].affectedRows;
+          // For an upsert, MySQL counts rows twice for updates
+          // So if affectedRows is odd, we have (updates * 2 + inserts)
+          const updates = Math.floor(affectedRows / 2);
+          const inserts = affectedRows - (updates * 2);
+          
+          recordsUpdated += Math.floor(updates); // Ensure we never have fractional updates
+          processed += batchProcessed;
+        }
+        
+        // Update progress based on time interval
+        const now = Date.now();
+        if (now - lastProgressUpdate >= PROGRESS_INTERVAL || processed === totalItems) {
+          outputProgress({
+            status: "running",
+            operation: "Purchase orders import",
+            current: processed,
+            total: totalItems,
+            elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
+            remaining: estimateRemaining(startTime, processed, totalItems),
+            rate: calculateRate(startTime, processed)
+          });
+          lastProgressUpdate = now;
+        }
+      }
+    }
+
+    // Only update sync status if we get here (no errors thrown)
+    await localConnection.query(`
+      INSERT INTO sync_status (table_name, last_sync_timestamp)
+      VALUES ('purchase_orders', NOW())
+      ON DUPLICATE KEY UPDATE 
+        last_sync_timestamp = NOW(),
+        last_sync_id = LAST_INSERT_ID(last_sync_id)
+    `);
+
+    return {
+      status: "complete",
+      totalImported: totalItems,
+      recordsAdded: recordsAdded || 0,
+      recordsUpdated: recordsUpdated || 0,
+      incrementalUpdate,
+      lastSyncTime
+    };
+
+  } catch (error) {
+    outputProgress({
+      operation: `${incrementalUpdate ? 'Incremental' : 'Full'} purchase orders import failed`,
+      status: "error",
+      error: error.message,
+    });
+    throw error;
+  }
+}
+
+module.exports = importPurchaseOrders; 

inventory-server/scripts/import/purchase_orders.js

@@ -0,0 +1,82 @@
+// Split into inserts and updates
+const insertsAndUpdates = batch.reduce((acc, po) => {
+  const key = `${po.po_id}-${po.pid}`;
+  if (existingPOMap.has(key)) {
+    const existing = existingPOMap.get(key);
+    // Check if any values are different
+    const hasChanges = columnNames.some(col => {
+      const newVal = po[col] ?? null;
+      const oldVal = existing[col] ?? null;
+      // Special handling for numbers to avoid type coercion issues
+      if (typeof newVal === 'number' && typeof oldVal === 'number') {
+        return Math.abs(newVal - oldVal) > 0.00001; // Allow for tiny floating point differences
+      }
+      // Special handling for receiving_history JSON
+      if (col === 'receiving_history') {
+        return JSON.stringify(newVal) !== JSON.stringify(oldVal);
+      }
+      return newVal !== oldVal;
+    });
+
+    if (hasChanges) {
+      console.log(`PO line changed: ${key}`, {
+        po_id: po.po_id,
+        pid: po.pid,
+        changes: columnNames.filter(col => {
+          const newVal = po[col] ?? null;
+          const oldVal = existing[col] ?? null;
+          if (typeof newVal === 'number' && typeof oldVal === 'number') {
+            return Math.abs(newVal - oldVal) > 0.00001;
+          }
+          if (col === 'receiving_history') {
+            return JSON.stringify(newVal) !== JSON.stringify(oldVal);
+          }
+          return newVal !== oldVal;
+        })
+      });
+      acc.updates.push({
+        po_id: po.po_id,
+        pid: po.pid,
+        values: columnNames.map(col => po[col] ?? null)
+      });
+    }
+  } else {
+    console.log(`New PO line: ${key}`);
+    acc.inserts.push({
+      po_id: po.po_id,
+      pid: po.pid,
+      values: columnNames.map(col => po[col] ?? null)
+    });
+  }
+  return acc;
+}, { inserts: [], updates: [] });
+
+// Handle inserts
+if (insertsAndUpdates.inserts.length > 0) {
+  const insertPlaceholders = Array(insertsAndUpdates.inserts.length).fill(placeholderGroup).join(",");
+  
+  const insertResult = await localConnection.query(`
+    INSERT INTO purchase_orders (${columnNames.join(",")})
+    VALUES ${insertPlaceholders}
+  `, insertsAndUpdates.inserts.map(i => i.values).flat());
+  
+  recordsAdded += insertResult[0].affectedRows;
+}
+
+// Handle updates
+if (insertsAndUpdates.updates.length > 0) {
+  const updatePlaceholders = Array(insertsAndUpdates.updates.length).fill(placeholderGroup).join(",");
+  
+  const updateResult = await localConnection.query(`
+    INSERT INTO purchase_orders (${columnNames.join(",")})
+    VALUES ${updatePlaceholders}
+    ON DUPLICATE KEY UPDATE
+      ${columnNames
+        .filter(col => col !== "po_id" && col !== "pid")
+        .map(col => `${col} = VALUES(${col})`)
+        .join(",")};
+  `, insertsAndUpdates.updates.map(u => u.values).flat());
+  
+  // Each update affects 2 rows in affectedRows, so we divide by 2 to get actual count
+  recordsUpdated += insertsAndUpdates.updates.length;
+} 

inventory-server/scripts/import/utils.js

@@ -0,0 +1,88 @@
+const mysql = require("mysql2/promise");
+const { Client } = require("ssh2");
+const dotenv = require("dotenv");
+const path = require("path");
+
+// Helper function to setup SSH tunnel
+async function setupSshTunnel(sshConfig) {
+  return new Promise((resolve, reject) => {
+    const ssh = new Client();
+
+    ssh.on('error', (err) => {
+      console.error('SSH connection error:', err);
+    });
+
+    ssh.on('end', () => {
+      console.log('SSH connection ended normally');
+    });
+
+    ssh.on('close', () => {
+      console.log('SSH connection closed');
+    });
+
+    ssh
+      .on("ready", () => {
+        ssh.forwardOut(
+          "127.0.0.1",
+          0,
+          sshConfig.prodDbConfig.host,
+          sshConfig.prodDbConfig.port,
+          async (err, stream) => {
+            if (err) reject(err);
+            resolve({ ssh, stream });
+          }
+        );
+      })
+      .connect(sshConfig.ssh);
+  });
+}
+
+// Helper function to setup database connections
+async function setupConnections(sshConfig) {
+  const tunnel = await setupSshTunnel(sshConfig);
+  
+  const prodConnection = await mysql.createConnection({
+    ...sshConfig.prodDbConfig,
+    stream: tunnel.stream,
+  });
+
+  const localConnection = await mysql.createPool({
+    ...sshConfig.localDbConfig,
+    waitForConnections: true,
+    connectionLimit: 10,
+    queueLimit: 0
+  });
+
+  return {
+    ssh: tunnel.ssh,
+    prodConnection,
+    localConnection
+  };
+}
+
+// Helper function to close connections
+async function closeConnections(connections) {
+  const { ssh, prodConnection, localConnection } = connections;
+  
+  try {
+    if (prodConnection) await prodConnection.end();
+    if (localConnection) await localConnection.end();
+    
+    // Wait a bit for any pending data to be written before closing SSH
+    await new Promise(resolve => setTimeout(resolve, 100));
+    
+    if (ssh) {
+      ssh.on('close', () => {
+        console.log('SSH connection closed cleanly');
+      });
+      ssh.end();
+    }
+  } catch (err) {
+    console.error('Error during cleanup:', err);
+  }
+}
+
+module.exports = {
+  setupConnections,
+  closeConnections
+}; 

inventory-server/scripts/metrics/brand-metrics.js

@@ -1,21 +1,35 @@
-const { outputProgress } = require('./utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress');
 const { getConnection } = require('./utils/db');
 
-async function calculateBrandMetrics(startTime, totalProducts, processedCount) {
+async function calculateBrandMetrics(startTime, totalProducts, processedCount, isCancelled = false) {
     const connection = await getConnection();
     try {
+        if (isCancelled) {
+            outputProgress({
+                status: 'cancelled',
+                operation: 'Brand metrics calculation cancelled',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: null,
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+            return processedCount;
+        }
+
         outputProgress({
             status: 'running',
-            operation: 'Calculating brand metrics',
-            current: Math.floor(totalProducts * 0.95),
+            operation: 'Starting brand metrics calculation',
+            current: processedCount,
             total: totalProducts,
             elapsed: formatElapsedTime(startTime),
-            remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.95), totalProducts),
-            rate: calculateRate(startTime, Math.floor(totalProducts * 0.95)),
-            percentage: '95'
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
         });
 
-        // Calculate brand metrics
+        // Calculate brand metrics with optimized queries
         await connection.query(`
             INSERT INTO brand_metrics (
                 brand,
@@ -28,59 +42,77 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount) {
                 avg_margin,
                 growth_rate
             )
-            WITH brand_data AS (
+            WITH filtered_products AS (
+                SELECT 
+                    p.*,
+                    CASE WHEN p.stock_quantity <= 5000 THEN p.pid END as valid_pid,
+                    CASE WHEN p.visible = true AND p.stock_quantity <= 5000 THEN p.pid END as active_pid,
+                    CASE 
+                        WHEN p.stock_quantity IS NULL OR p.stock_quantity < 0 OR p.stock_quantity > 5000 THEN 0 
+                        ELSE p.stock_quantity 
+                    END as valid_stock
+                FROM products p
+                WHERE p.brand IS NOT NULL
+            ),
+            sales_periods AS (
                 SELECT 
                     p.brand,
-                    COUNT(DISTINCT p.product_id) as product_count,
-                    COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
-                    SUM(p.stock_quantity) as total_stock_units,
-                    SUM(p.stock_quantity * p.cost_price) as total_stock_cost,
-                    SUM(p.stock_quantity * p.price) as total_stock_retail,
-                    SUM(o.price * o.quantity) as total_revenue,
+                    SUM(o.quantity * o.price) as period_revenue,
                     CASE 
-                        WHEN SUM(o.price * o.quantity) > 0 THEN 
+                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) THEN 'current'
+                        WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 15 MONTH) AND DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH) THEN 'previous'
+                    END as period_type
+                FROM filtered_products p
+                JOIN orders o ON p.pid = o.pid 
+                WHERE o.canceled = false
+                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 15 MONTH)
+                GROUP BY p.brand, period_type
+            ),
+            brand_data AS (
+                SELECT 
+                    p.brand,
+                    COUNT(DISTINCT p.valid_pid) as product_count,
+                    COUNT(DISTINCT p.active_pid) as active_products,
+                    SUM(p.valid_stock) as total_stock_units,
+                    SUM(p.valid_stock * p.cost_price) as total_stock_cost,
+                    SUM(p.valid_stock * p.price) as total_stock_retail,
+                    COALESCE(SUM(o.quantity * o.price), 0) as total_revenue,
+                    CASE 
+                        WHEN SUM(o.quantity * o.price) > 0 THEN 
                             (SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
                         ELSE 0 
-                    END as avg_margin,
-                    -- Current period (last 3 months)
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) 
-                        THEN COALESCE(o.quantity * o.price, 0) 
-                        ELSE 0 
-                    END) as current_period_sales,
-                    -- Previous year same period
-                    SUM(CASE 
-                        WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 15 MONTH) AND DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
-                        THEN COALESCE(o.quantity * o.price, 0) 
-                        ELSE 0 
-                    END) as previous_year_period_sales
-                FROM products p
-                LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
-                WHERE p.brand IS NOT NULL
+                    END as avg_margin
+                FROM filtered_products p
+                LEFT JOIN orders o ON p.pid = o.pid AND o.canceled = false
                 GROUP BY p.brand
             )
             SELECT 
-                brand,
-                product_count,
-                active_products,
-                total_stock_units,
-                total_stock_cost,
-                total_stock_retail,
-                total_revenue,
-                avg_margin,
+                bd.brand,
+                bd.product_count,
+                bd.active_products,
+                bd.total_stock_units,
+                bd.total_stock_cost,
+                bd.total_stock_retail,
+                bd.total_revenue,
+                bd.avg_margin,
                 CASE
-                    WHEN previous_year_period_sales = 0 AND current_period_sales > 0 THEN 100.0
-                    WHEN previous_year_period_sales = 0 THEN 0.0
+                    WHEN MAX(CASE WHEN sp.period_type = 'previous' THEN sp.period_revenue END) = 0 
+                         AND MAX(CASE WHEN sp.period_type = 'current' THEN sp.period_revenue END) > 0 THEN 100.0
+                    WHEN MAX(CASE WHEN sp.period_type = 'previous' THEN sp.period_revenue END) = 0 THEN 0.0
                     ELSE LEAST(
                         GREATEST(
-                            ((current_period_sales - previous_year_period_sales) / 
-                            NULLIF(previous_year_period_sales, 0)) * 100.0,
+                            ((MAX(CASE WHEN sp.period_type = 'current' THEN sp.period_revenue END) - 
+                              MAX(CASE WHEN sp.period_type = 'previous' THEN sp.period_revenue END)) / 
+                             NULLIF(MAX(CASE WHEN sp.period_type = 'previous' THEN sp.period_revenue END), 0)) * 100.0,
                             -100.0
                         ),
                         999.99
                     )
                 END as growth_rate
-            FROM brand_data
+            FROM brand_data bd
+            LEFT JOIN sales_periods sp ON bd.brand = sp.brand
+            GROUP BY bd.brand, bd.product_count, bd.active_products, bd.total_stock_units, 
+                     bd.total_stock_cost, bd.total_stock_retail, bd.total_revenue, bd.avg_margin
             ON DUPLICATE KEY UPDATE
                 product_count = VALUES(product_count),
                 active_products = VALUES(active_products),
@@ -93,7 +125,21 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount) {
                 last_calculated_at = CURRENT_TIMESTAMP
         `);
 
-        // Calculate brand time-based metrics
+        processedCount = Math.floor(totalProducts * 0.97);
+        outputProgress({
+            status: 'running',
+            operation: 'Brand metrics calculated, starting time-based metrics',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Calculate brand time-based metrics with optimized query
         await connection.query(`
             INSERT INTO brand_time_metrics (
                 brand,
@@ -107,26 +153,41 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount) {
                 total_revenue,
                 avg_margin
             )
-            SELECT 
-                p.brand,
-                YEAR(o.date) as year,
-                MONTH(o.date) as month,
-                COUNT(DISTINCT p.product_id) as product_count,
-                COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
-                SUM(p.stock_quantity) as total_stock_units,
-                SUM(p.stock_quantity * p.cost_price) as total_stock_cost,
-                SUM(p.stock_quantity * p.price) as total_stock_retail,
-                SUM(o.price * o.quantity) as total_revenue,
-                CASE 
-                    WHEN SUM(o.price * o.quantity) > 0 THEN 
-                        (SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
-                    ELSE 0 
-                END as avg_margin
-            FROM products p
-            LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
-            WHERE p.brand IS NOT NULL
-                AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
-            GROUP BY p.brand, YEAR(o.date), MONTH(o.date)
+            WITH filtered_products AS (
+                SELECT 
+                    p.*,
+                    CASE WHEN p.stock_quantity <= 5000 THEN p.pid END as valid_pid,
+                    CASE WHEN p.visible = true AND p.stock_quantity <= 5000 THEN p.pid END as active_pid,
+                    CASE 
+                        WHEN p.stock_quantity IS NULL OR p.stock_quantity < 0 OR p.stock_quantity > 5000 THEN 0 
+                        ELSE p.stock_quantity 
+                    END as valid_stock
+                FROM products p
+                WHERE p.brand IS NOT NULL
+            ),
+            monthly_metrics AS (
+                SELECT 
+                    p.brand,
+                    YEAR(o.date) as year,
+                    MONTH(o.date) as month,
+                    COUNT(DISTINCT p.valid_pid) as product_count,
+                    COUNT(DISTINCT p.active_pid) as active_products,
+                    SUM(p.valid_stock) as total_stock_units,
+                    SUM(p.valid_stock * p.cost_price) as total_stock_cost,
+                    SUM(p.valid_stock * p.price) as total_stock_retail,
+                    SUM(o.quantity * o.price) as total_revenue,
+                    CASE 
+                        WHEN SUM(o.quantity * o.price) > 0 THEN 
+                            (SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
+                        ELSE 0 
+                    END as avg_margin
+                FROM filtered_products p
+                LEFT JOIN orders o ON p.pid = o.pid AND o.canceled = false
+                WHERE o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
+                GROUP BY p.brand, YEAR(o.date), MONTH(o.date)
+            )
+            SELECT *
+            FROM monthly_metrics
             ON DUPLICATE KEY UPDATE
                 product_count = VALUES(product_count),
                 active_products = VALUES(active_products),
@@ -137,9 +198,26 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount) {
                 avg_margin = VALUES(avg_margin)
         `);
 
-        return Math.floor(totalProducts * 0.98);
+        processedCount = Math.floor(totalProducts * 0.99);
+        outputProgress({
+            status: 'running',
+            operation: 'Brand time-based metrics calculated',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        return processedCount;
+    } catch (error) {
+        logError(error, 'Error calculating brand metrics');
+        throw error;
     } finally {
-        connection.release();
+        if (connection) {
+            connection.release();
+        }
     }
 }
 

inventory-server/scripts/metrics/category-metrics.js

@@ -1,112 +1,174 @@
-const { outputProgress } = require('./utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress');
 const { getConnection } = require('./utils/db');
 
-async function calculateCategoryMetrics(startTime, totalProducts, processedCount) {
+async function calculateCategoryMetrics(startTime, totalProducts, processedCount, isCancelled = false) {
     const connection = await getConnection();
     try {
+        if (isCancelled) {
+            outputProgress({
+                status: 'cancelled',
+                operation: 'Category metrics calculation cancelled',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: null,
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+            return processedCount;
+        }
+
         outputProgress({
             status: 'running',
-            operation: 'Calculating category metrics',
-            current: Math.floor(totalProducts * 0.85),
+            operation: 'Starting category metrics calculation',
+            current: processedCount,
             total: totalProducts,
             elapsed: formatElapsedTime(startTime),
-            remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.85), totalProducts),
-            rate: calculateRate(startTime, Math.floor(totalProducts * 0.85)),
-            percentage: '85'
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
         });
         
-        // Calculate category performance metrics
+        // First, calculate base category metrics
         await connection.query(`
             INSERT INTO category_metrics (
                 category_id,
                 product_count,
                 active_products,
                 total_value,
-                avg_margin,
-                turnover_rate,
-                growth_rate,
-                status
-            )
-            WITH category_sales AS (
-                SELECT 
-                    c.id as category_id,
-                    COUNT(DISTINCT p.product_id) as product_count,
-                    COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
-                    SUM(p.stock_quantity * p.cost_price) as total_value,
-                    CASE 
-                        WHEN SUM(o.price * o.quantity) > 0 
-                        THEN (SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
-                        ELSE 0 
-                    END as avg_margin,
-                    CASE 
-                        WHEN AVG(GREATEST(p.stock_quantity, 0)) >= 0.01
-                        THEN LEAST(
-                            SUM(CASE 
-                                WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR)
-                                THEN COALESCE(o.quantity, 0) 
-                                ELSE 0 
-                            END) / 
-                            GREATEST(
-                                AVG(GREATEST(p.stock_quantity, 0)),
-                                1.0
-                            ),
-                            999.99
-                        )
-                        ELSE 0 
-                    END as turnover_rate,
-                    -- Current period (last 3 months)
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) 
-                        THEN COALESCE(o.quantity * o.price, 0) 
-                        ELSE 0 
-                    END) as current_period_sales,
-                    -- Previous year same period
-                    SUM(CASE 
-                        WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 15 MONTH) AND DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
-                        THEN COALESCE(o.quantity * o.price, 0) 
-                        ELSE 0 
-                    END) as previous_year_period_sales,
-                    c.status
-                FROM categories c
-                LEFT JOIN product_categories pc ON c.id = pc.category_id
-                LEFT JOIN products p ON pc.product_id = p.product_id
-                LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
-                GROUP BY c.id, c.status
+                status,
+                last_calculated_at
             )
             SELECT 
-                category_id,
-                product_count,
-                active_products,
-                total_value,
-                COALESCE(avg_margin, 0) as avg_margin,
-                COALESCE(turnover_rate, 0) as turnover_rate,
-                -- Enhanced YoY growth rate calculation
-                CASE
-                    WHEN previous_year_period_sales = 0 AND current_period_sales > 0 THEN 100.0
-                    WHEN previous_year_period_sales = 0 THEN 0.0
-                    ELSE LEAST(
-                        GREATEST(
-                            ((current_period_sales - previous_year_period_sales) / 
-                            NULLIF(previous_year_period_sales, 0)) * 100.0,
-                            -100.0
-                        ),
-                        999.99
-                    )
-                END as growth_rate,
-                status
-            FROM category_sales
+                c.cat_id,
+                COUNT(DISTINCT p.pid) as product_count,
+                COUNT(DISTINCT CASE WHEN p.visible = true THEN p.pid END) as active_products,
+                COALESCE(SUM(p.stock_quantity * p.cost_price), 0) as total_value,
+                c.status,
+                NOW() as last_calculated_at
+            FROM categories c
+            LEFT JOIN product_categories pc ON c.cat_id = pc.cat_id
+            LEFT JOIN products p ON pc.pid = p.pid
+            GROUP BY c.cat_id, c.status
             ON DUPLICATE KEY UPDATE
                 product_count = VALUES(product_count),
                 active_products = VALUES(active_products),
                 total_value = VALUES(total_value),
-                avg_margin = VALUES(avg_margin),
-                turnover_rate = VALUES(turnover_rate),
-                growth_rate = VALUES(growth_rate),
                 status = VALUES(status),
-                last_calculated_at = CURRENT_TIMESTAMP
+                last_calculated_at = VALUES(last_calculated_at)
         `);
 
-        // Calculate category time-based metrics
+        processedCount = Math.floor(totalProducts * 0.90);
+        outputProgress({
+            status: 'running',
+            operation: 'Base category metrics calculated, updating with margin data',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Then update with margin and turnover data
+        await connection.query(`
+            WITH category_sales AS (
+                SELECT 
+                    pc.cat_id,
+                    SUM(o.quantity * o.price) as total_sales,
+                    SUM(o.quantity * (o.price - p.cost_price)) as total_margin,
+                    SUM(o.quantity) as units_sold,
+                    AVG(GREATEST(p.stock_quantity, 0)) as avg_stock
+                FROM product_categories pc
+                JOIN products p ON pc.pid = p.pid
+                JOIN orders o ON p.pid = o.pid
+                WHERE o.canceled = false 
+                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR)
+                GROUP BY pc.cat_id
+            )
+            UPDATE category_metrics cm
+            JOIN category_sales cs ON cm.category_id = cs.cat_id
+            SET 
+                cm.avg_margin = COALESCE(cs.total_margin * 100.0 / NULLIF(cs.total_sales, 0), 0),
+                cm.turnover_rate = LEAST(COALESCE(cs.units_sold / NULLIF(cs.avg_stock, 0), 0), 999.99),
+                cm.last_calculated_at = NOW()
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.95);
+        outputProgress({
+            status: 'running',
+            operation: 'Margin data updated, calculating growth rates',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Finally update growth rates
+        await connection.query(`
+            WITH current_period AS (
+                SELECT 
+                    pc.cat_id,
+                    SUM(o.quantity * o.price) as revenue
+                FROM product_categories pc
+                JOIN products p ON pc.pid = p.pid
+                JOIN orders o ON p.pid = o.pid
+                WHERE o.canceled = false 
+                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH)
+                GROUP BY pc.cat_id
+            ),
+            previous_period AS (
+                SELECT 
+                    pc.cat_id,
+                    SUM(o.quantity * o.price) as revenue
+                FROM product_categories pc
+                JOIN products p ON pc.pid = p.pid
+                JOIN orders o ON p.pid = o.pid
+                WHERE o.canceled = false 
+                    AND o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 15 MONTH) 
+                    AND DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
+                GROUP BY pc.cat_id
+            )
+            UPDATE category_metrics cm
+            LEFT JOIN current_period cp ON cm.category_id = cp.cat_id
+            LEFT JOIN previous_period pp ON cm.category_id = pp.cat_id
+            SET 
+                cm.growth_rate = CASE
+                    WHEN pp.revenue = 0 AND COALESCE(cp.revenue, 0) > 0 THEN 100.0
+                    WHEN pp.revenue = 0 THEN 0.0
+                    ELSE LEAST(
+                        GREATEST(
+                            ((COALESCE(cp.revenue, 0) - pp.revenue) / pp.revenue) * 100.0,
+                            -100.0
+                        ),
+                        999.99
+                    )
+                END,
+                cm.last_calculated_at = NOW()
+            WHERE cp.cat_id IS NOT NULL OR pp.cat_id IS NOT NULL
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.97);
+        outputProgress({
+            status: 'running',
+            operation: 'Growth rates calculated, updating time-based metrics',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Calculate time-based metrics
         await connection.query(`
             INSERT INTO category_time_metrics (
                 category_id,
@@ -120,29 +182,28 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
                 turnover_rate
             )
             SELECT 
-                c.id as category_id,
+                pc.cat_id,
                 YEAR(o.date) as year,
                 MONTH(o.date) as month,
-                COUNT(DISTINCT p.product_id) as product_count,
-                COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
+                COUNT(DISTINCT p.pid) as product_count,
+                COUNT(DISTINCT CASE WHEN p.visible = true THEN p.pid END) as active_products,
                 SUM(p.stock_quantity * p.cost_price) as total_value,
-                SUM(o.price * o.quantity) as total_revenue,
-                CASE 
-                    WHEN SUM(o.price * o.quantity) > 0 
-                    THEN (SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
-                    ELSE 0 
-                END as avg_margin,
-                CASE 
-                    WHEN AVG(p.stock_quantity) > 0 
-                    THEN SUM(o.quantity) / AVG(p.stock_quantity)
-                    ELSE 0 
-                END as turnover_rate
-            FROM categories c
-            LEFT JOIN product_categories pc ON c.id = pc.category_id
-            LEFT JOIN products p ON pc.product_id = p.product_id
-            LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
-            WHERE o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
-            GROUP BY c.id, YEAR(o.date), MONTH(o.date)
+                SUM(o.quantity * o.price) as total_revenue,
+                COALESCE(
+                    SUM(o.quantity * (o.price - p.cost_price)) * 100.0 / 
+                    NULLIF(SUM(o.quantity * o.price), 0),
+                    0
+                ) as avg_margin,
+                COALESCE(
+                    SUM(o.quantity) / NULLIF(AVG(GREATEST(p.stock_quantity, 0)), 0),
+                    0
+                ) as turnover_rate
+            FROM product_categories pc
+            JOIN products p ON pc.pid = p.pid
+            JOIN orders o ON p.pid = o.pid
+            WHERE o.canceled = false
+                AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
+            GROUP BY pc.cat_id, YEAR(o.date), MONTH(o.date)
             ON DUPLICATE KEY UPDATE
                 product_count = VALUES(product_count),
                 active_products = VALUES(active_products),
@@ -152,77 +213,26 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
                 turnover_rate = VALUES(turnover_rate)
         `);
 
-        // Calculate category sales metrics
-        await connection.query(`
-            INSERT INTO category_sales_metrics (
-                category_id,
-                brand,
-                period_start,
-                period_end,
-                avg_daily_sales,
-                total_sold,
-                num_products,
-                avg_price,
-                last_calculated_at
-            )
-            WITH date_ranges AS (
-                SELECT 
-                    DATE_SUB(CURDATE(), INTERVAL 30 DAY) as period_start,
-                    CURDATE() as period_end
-                UNION ALL
-                SELECT 
-                    DATE_SUB(CURDATE(), INTERVAL 90 DAY),
-                    CURDATE()
-                UNION ALL
-                SELECT 
-                    DATE_SUB(CURDATE(), INTERVAL 180 DAY),
-                    CURDATE()
-                UNION ALL
-                SELECT 
-                    DATE_SUB(CURDATE(), INTERVAL 365 DAY),
-                    CURDATE()
-            ),
-            category_metrics AS (
-                SELECT 
-                    c.id as category_id,
-                    p.brand,
-                    dr.period_start,
-                    dr.period_end,
-                    COUNT(DISTINCT p.product_id) as num_products,
-                    COALESCE(SUM(o.quantity), 0) / DATEDIFF(dr.period_end, dr.period_start) as avg_daily_sales,
-                    COALESCE(SUM(o.quantity), 0) as total_sold,
-                    COALESCE(AVG(o.price), 0) as avg_price
-                FROM categories c
-                JOIN product_categories pc ON c.id = pc.category_id
-                JOIN products p ON pc.product_id = p.product_id
-                CROSS JOIN date_ranges dr
-                LEFT JOIN orders o ON p.product_id = o.product_id 
-                    AND o.date BETWEEN dr.period_start AND dr.period_end
-                    AND o.canceled = false
-                GROUP BY c.id, p.brand, dr.period_start, dr.period_end
-            )
-            SELECT 
-                category_id,
-                brand,
-                period_start,
-                period_end,
-                avg_daily_sales,
-                total_sold,
-                num_products,
-                avg_price,
-                NOW() as last_calculated_at
-            FROM category_metrics
-            ON DUPLICATE KEY UPDATE
-                avg_daily_sales = VALUES(avg_daily_sales),
-                total_sold = VALUES(total_sold),
-                num_products = VALUES(num_products),
-                avg_price = VALUES(avg_price),
-                last_calculated_at = NOW()
-        `);
+        processedCount = Math.floor(totalProducts * 0.99);
+        outputProgress({
+            status: 'running',
+            operation: 'Time-based metrics calculated',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
 
-        return Math.floor(totalProducts * 0.9);
+        return processedCount;
+    } catch (error) {
+        logError(error, 'Error calculating category metrics');
+        throw error;
     } finally {
-        connection.release();
+        if (connection) {
+            connection.release();
+        }
     }
 }
 

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

@@ -1,80 +1,131 @@
-const { outputProgress } = require('./utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress');
 const { getConnection } = require('./utils/db');
 
-async function calculateFinancialMetrics(startTime, totalProducts, processedCount) {
+async function calculateFinancialMetrics(startTime, totalProducts, processedCount, isCancelled = false) {
     const connection = await getConnection();
     try {
+        if (isCancelled) {
+            outputProgress({
+                status: 'cancelled',
+                operation: 'Financial metrics calculation cancelled',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: null,
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+            return processedCount;
+        }
+
         outputProgress({
             status: 'running',
-            operation: 'Calculating financial metrics',
-            current: Math.floor(totalProducts * 0.6),
+            operation: 'Starting financial metrics calculation',
+            current: processedCount,
             total: totalProducts,
             elapsed: formatElapsedTime(startTime),
-            remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.6), totalProducts),
-            rate: calculateRate(startTime, Math.floor(totalProducts * 0.6)),
-            percentage: '60'
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
         });
 
+        // Calculate financial metrics with optimized query
         await connection.query(`
-            UPDATE product_metrics pm
-            JOIN (
+            WITH product_financials AS (
                 SELECT 
-                    p.product_id,
+                    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,
                     MIN(o.date) as first_sale_date,
                     MAX(o.date) as last_sale_date,
-                    DATEDIFF(MAX(o.date), MIN(o.date)) + 1 as calculation_period_days
+                    DATEDIFF(MAX(o.date), MIN(o.date)) + 1 as calculation_period_days,
+                    COUNT(DISTINCT DATE(o.date)) as active_days
                 FROM products p
-                LEFT JOIN orders o ON p.product_id = o.product_id
+                LEFT JOIN orders o ON p.pid = o.pid
                 WHERE o.canceled = false
                     AND DATE(o.date) >= DATE_SUB(CURDATE(), INTERVAL 12 MONTH)
-                GROUP BY p.product_id
-            ) fin ON pm.product_id = fin.product_id
+                GROUP BY p.pid
+            )
+            UPDATE product_metrics pm
+            JOIN product_financials pf ON pm.pid = pf.pid
             SET 
-                pm.inventory_value = COALESCE(fin.inventory_value, 0),
-                pm.total_revenue = COALESCE(fin.total_revenue, 0),
-                pm.cost_of_goods_sold = COALESCE(fin.cost_of_goods_sold, 0),
-                pm.gross_profit = COALESCE(fin.gross_profit, 0),
+                pm.inventory_value = COALESCE(pf.inventory_value, 0),
+                pm.total_revenue = COALESCE(pf.total_revenue, 0),
+                pm.cost_of_goods_sold = COALESCE(pf.cost_of_goods_sold, 0),
+                pm.gross_profit = COALESCE(pf.gross_profit, 0),
                 pm.gmroi = CASE 
-                    WHEN COALESCE(fin.inventory_value, 0) > 0 AND fin.calculation_period_days > 0 THEN 
-                        (COALESCE(fin.gross_profit, 0) * (365.0 / fin.calculation_period_days)) / COALESCE(fin.inventory_value, 0)
+                    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)
                     ELSE 0 
                 END
         `);
 
-        // Update time-based aggregates with financial metrics
+        processedCount = Math.floor(totalProducts * 0.65);
+        outputProgress({
+            status: 'running',
+            operation: 'Base financial metrics calculated, updating time aggregates',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Update time-based aggregates with optimized query
         await connection.query(`
-            UPDATE product_time_aggregates pta
-            JOIN (
+            WITH monthly_financials AS (
                 SELECT 
-                    p.product_id,
+                    p.pid,
                     YEAR(o.date) as year,
                     MONTH(o.date) 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 days_in_period
+                    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.product_id = o.product_id
+                LEFT JOIN orders o ON p.pid = o.pid
                 WHERE o.canceled = false
-                GROUP BY p.product_id, YEAR(o.date), MONTH(o.date)
-            ) fin ON pta.product_id = fin.product_id 
-                AND pta.year = fin.year 
-                AND pta.month = fin.month
+                GROUP BY p.pid, YEAR(o.date), MONTH(o.date)
+            )
+            UPDATE product_time_aggregates pta
+            JOIN monthly_financials mf ON pta.pid = mf.pid 
+                AND pta.year = mf.year 
+                AND pta.month = mf.month
             SET 
-                pta.inventory_value = COALESCE(fin.inventory_value, 0),
+                pta.inventory_value = COALESCE(mf.inventory_value, 0),
                 pta.gmroi = CASE 
-                    WHEN COALESCE(fin.inventory_value, 0) > 0 AND fin.days_in_period > 0 THEN 
-                        (COALESCE(fin.gross_profit, 0) * (365.0 / fin.days_in_period)) / COALESCE(fin.inventory_value, 0)
+                    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
         `);
 
-        return Math.floor(totalProducts * 0.7);
+        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)
+        });
+
+        return processedCount;
+    } catch (error) {
+        logError(error, 'Error calculating financial metrics');
+        throw error;
     } finally {
-        connection.release();
+        if (connection) {
+            connection.release();
+        }
     }
 }
 

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

@@ -1,23 +1,40 @@
-const { outputProgress, logError } = require('./utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress');
 const { getConnection } = require('./utils/db');
 
-async function calculateProductMetrics(startTime, totalProducts, processedCount = 0) {
+// Helper function to handle NaN and undefined values
+function sanitizeValue(value) {
+    if (value === undefined || value === null || Number.isNaN(value)) {
+        return null;
+    }
+    return value;
+}
+
+async function calculateProductMetrics(startTime, totalProducts, processedCount = 0, isCancelled = false) {
     const connection = await getConnection();
     try {
-        // Process in batches of 250
-        const batchSize = 250;
-        for (let offset = 0; offset < totalProducts; offset += batchSize) {
-            const [products] = await connection.query('SELECT product_id, vendor FROM products LIMIT ? OFFSET ?', [batchSize, offset])
-                .catch(err => {
-                    logError(err, `Failed to fetch products batch at offset ${offset}`);
-                    throw err;
-                });
-            processedCount += products.length;
+        // Skip flags are inherited from the parent scope
+        const SKIP_PRODUCT_BASE_METRICS = 0;
+        const SKIP_PRODUCT_TIME_AGGREGATES = 0;
 
-            // Update progress after each batch
+        if (isCancelled) {
+            outputProgress({
+                status: 'cancelled',
+                operation: 'Product metrics calculation cancelled',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: null,
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+            return processedCount;
+        }
+
+        // Calculate base product metrics
+        if (!SKIP_PRODUCT_BASE_METRICS) {
             outputProgress({
                 status: 'running',
-                operation: 'Processing products',
+                operation: 'Starting base product metrics calculation',
                 current: processedCount,
                 total: totalProducts,
                 elapsed: formatElapsedTime(startTime),
@@ -26,473 +43,239 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
                 percentage: ((processedCount / totalProducts) * 100).toFixed(1)
             });
 
-            // Process the batch
-            const metricsUpdates = [];
-            for (const product of products) {
-                try {
-                    // Get configuration values for this product
-                    const [configs] = await connection.query(`
-                        WITH product_info AS (
-                            SELECT 
-                                p.product_id,
-                                p.vendor,
-                                pc.category_id
-                            FROM products p
-                            LEFT JOIN product_categories pc ON p.product_id = pc.product_id
-                            WHERE p.product_id = ?
-                        ),
-                        threshold_options AS (
-                            SELECT 
-                                st.*,
-                                CASE
-                                    WHEN st.category_id = pi.category_id AND st.vendor = pi.vendor THEN 1
-                                    WHEN st.category_id = pi.category_id AND st.vendor IS NULL THEN 2
-                                    WHEN st.category_id IS NULL AND st.vendor = pi.vendor THEN 3
-                                    WHEN st.category_id IS NULL AND st.vendor IS NULL THEN 4
-                                    ELSE 5
-                                END as priority
-                            FROM product_info pi
-                            CROSS JOIN stock_thresholds st
-                            WHERE (st.category_id = pi.category_id OR st.category_id IS NULL)
-                              AND (st.vendor = pi.vendor OR st.vendor IS NULL)
-                        ),
-                        velocity_options AS (
-                            SELECT 
-                                sv.*,
-                                CASE
-                                    WHEN sv.category_id = pi.category_id AND sv.vendor = pi.vendor THEN 1
-                                    WHEN sv.category_id = pi.category_id AND sv.vendor IS NULL THEN 2
-                                    WHEN sv.category_id IS NULL AND sv.vendor = pi.vendor THEN 3
-                                    WHEN sv.category_id IS NULL AND sv.vendor IS NULL THEN 4
-                                    ELSE 5
-                                END as priority
-                            FROM product_info pi
-                            CROSS JOIN sales_velocity_config sv
-                            WHERE (sv.category_id = pi.category_id OR sv.category_id IS NULL)
-                              AND (sv.vendor = pi.vendor OR sv.vendor IS NULL)
-                        ),
-                        safety_options AS (
-                            SELECT 
-                                ss.*,
-                                CASE
-                                    WHEN ss.category_id = pi.category_id AND ss.vendor = pi.vendor THEN 1
-                                    WHEN ss.category_id = pi.category_id AND ss.vendor IS NULL THEN 2
-                                    WHEN ss.category_id IS NULL AND ss.vendor = pi.vendor THEN 3
-                                    WHEN ss.category_id IS NULL AND ss.vendor IS NULL THEN 4
-                                    ELSE 5
-                                END as priority
-                            FROM product_info pi
-                            CROSS JOIN safety_stock_config ss
-                            WHERE (ss.category_id = pi.category_id OR ss.category_id IS NULL)
-                              AND (ss.vendor = pi.vendor OR ss.vendor IS NULL)
-                        )
-                        SELECT 
-                            COALESCE(
-                                (SELECT critical_days 
-                                 FROM threshold_options 
-                                 ORDER BY priority LIMIT 1),
-                                7
-                            ) as critical_days,
-                            COALESCE(
-                                (SELECT reorder_days 
-                                 FROM threshold_options 
-                                 ORDER BY priority LIMIT 1),
-                                14
-                            ) as reorder_days,
-                            COALESCE(
-                                (SELECT overstock_days 
-                                 FROM threshold_options 
-                                 ORDER BY priority LIMIT 1),
-                                90
-                            ) as overstock_days,
-                            COALESCE(
-                                (SELECT low_stock_threshold 
-                                 FROM threshold_options 
-                                 ORDER BY priority LIMIT 1),
-                                5
-                            ) as low_stock_threshold,
-                            COALESCE(
-                                (SELECT daily_window_days 
-                                 FROM velocity_options 
-                                 ORDER BY priority LIMIT 1),
-                                30
-                            ) as daily_window_days,
-                            COALESCE(
-                                (SELECT weekly_window_days 
-                                 FROM velocity_options 
-                                 ORDER BY priority LIMIT 1),
-                                7
-                            ) as weekly_window_days,
-                            COALESCE(
-                                (SELECT monthly_window_days 
-                                 FROM velocity_options 
-                                 ORDER BY priority LIMIT 1),
-                                90
-                            ) as monthly_window_days,
-                            COALESCE(
-                                (SELECT coverage_days 
-                                 FROM safety_options 
-                                 ORDER BY priority LIMIT 1),
-                                14
-                            ) as safety_stock_days,
-                            COALESCE(
-                                (SELECT service_level 
-                                 FROM safety_options 
-                                 ORDER BY priority LIMIT 1),
-                                95.0
-                            ) as service_level
-                    `, [product.product_id]);
+            // Calculate base metrics
+            await connection.query(`
+                UPDATE product_metrics pm
+                JOIN (
+                    SELECT 
+                        p.pid,
+                        p.cost_price * p.stock_quantity as inventory_value,
+                        SUM(o.quantity) as total_quantity,
+                        COUNT(DISTINCT o.order_number) as number_of_orders,
+                        SUM(o.quantity * o.price) as total_revenue,
+                        SUM(o.quantity * p.cost_price) as cost_of_goods_sold,
+                        AVG(o.price) as avg_price,
+                        STDDEV(o.price) as price_std,
+                        MIN(o.date) as first_sale_date,
+                        MAX(o.date) as last_sale_date,
+                        COUNT(DISTINCT DATE(o.date)) as active_days
+                    FROM products p
+                    LEFT JOIN orders o ON p.pid = o.pid AND o.canceled = false
+                    GROUP BY p.pid
+                ) stats ON pm.pid = stats.pid
+                SET 
+                    pm.inventory_value = COALESCE(stats.inventory_value, 0),
+                    pm.avg_quantity_per_order = COALESCE(stats.total_quantity / NULLIF(stats.number_of_orders, 0), 0),
+                    pm.number_of_orders = COALESCE(stats.number_of_orders, 0),
+                    pm.total_revenue = COALESCE(stats.total_revenue, 0),
+                    pm.cost_of_goods_sold = COALESCE(stats.cost_of_goods_sold, 0),
+                    pm.gross_profit = COALESCE(stats.total_revenue - stats.cost_of_goods_sold, 0),
+                    pm.avg_margin_percent = CASE 
+                        WHEN COALESCE(stats.total_revenue, 0) > 0 
+                        THEN ((stats.total_revenue - stats.cost_of_goods_sold) / stats.total_revenue) * 100 
+                        ELSE 0 
+                    END,
+                    pm.first_sale_date = stats.first_sale_date,
+                    pm.last_sale_date = stats.last_sale_date,
+                    pm.gmroi = CASE 
+                        WHEN COALESCE(stats.inventory_value, 0) > 0 
+                        THEN (stats.total_revenue - stats.cost_of_goods_sold) / stats.inventory_value
+                        ELSE 0 
+                    END,
+                    pm.last_calculated_at = NOW()
+            `);
 
-                    const config = configs[0];
+            processedCount = Math.floor(totalProducts * 0.4);
+            outputProgress({
+                status: 'running',
+                operation: 'Base product metrics calculated',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+        } else {
+            processedCount = Math.floor(totalProducts * 0.4);
+            outputProgress({
+                status: 'running',
+                operation: 'Skipping base product metrics calculation',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+        }
 
-                    // Calculate sales metrics
-                    const [salesMetrics] = await connection.query(`
-                        WITH sales_summary AS (
-                            SELECT 
-                                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,
-                                MAX(o.date) as last_sale_date,
-                                MIN(o.date) as first_sale_date,
-                                COUNT(DISTINCT o.order_number) as number_of_orders,
-                                AVG(o.quantity) as avg_quantity_per_order,
-                                SUM(CASE WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY) THEN o.quantity ELSE 0 END) as last_30_days_qty,
-                                CASE 
-                                    WHEN SUM(CASE WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY) THEN o.quantity ELSE 0 END) IS NULL THEN 0
-                                    ELSE SUM(CASE WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY) THEN o.quantity ELSE 0 END)
-                                END as rolling_weekly_avg,
-                                SUM(CASE WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY) THEN o.quantity ELSE 0 END) as last_month_qty
-                            FROM orders o
-                            JOIN products p ON o.product_id = p.product_id
-                            WHERE o.canceled = 0 AND o.product_id = ?
-                            GROUP BY o.product_id
-                        )
-                        SELECT 
-                            total_quantity_sold,
-                            total_revenue,
-                            total_cost,
-                            last_sale_date,
-                            first_sale_date,
-                            number_of_orders,
-                            avg_quantity_per_order,
-                            last_30_days_qty / ? as rolling_daily_avg,
-                            rolling_weekly_avg / ? as rolling_weekly_avg,
-                            last_month_qty / ? as rolling_monthly_avg
-                        FROM sales_summary
-                    `, [
-                        config.daily_window_days,
-                        config.weekly_window_days,
-                        config.weekly_window_days,
-                        config.monthly_window_days,
-                        product.product_id,
-                        config.daily_window_days,
-                        config.weekly_window_days,
-                        config.monthly_window_days
-                    ]);
+        if (isCancelled) return processedCount;
 
-                    // Calculate purchase metrics
-                    const [purchaseMetrics] = await connection.query(`
-                        WITH recent_orders AS (
-                            SELECT 
-                                date,
-                                received_date,
-                                received,
-                                cost_price,
-                                DATEDIFF(received_date, date) as lead_time_days,
-                                ROW_NUMBER() OVER (ORDER BY date DESC) as order_rank
-                            FROM purchase_orders
-                            WHERE status = 'closed' 
-                              AND product_id = ?
-                              AND received > 0
-                              AND received_date IS NOT NULL
-                        ),
-                        lead_time_orders AS (
-                            SELECT *
-                            FROM recent_orders
-                            WHERE order_rank <= 5
-                               OR date >= DATE_SUB(CURDATE(), INTERVAL 90 DAY)
-                        )
-                        SELECT 
-                            SUM(CASE WHEN received >= 0 THEN received ELSE 0 END) as total_quantity_purchased,
-                            SUM(CASE WHEN received >= 0 THEN cost_price * received ELSE 0 END) as total_cost,
-                            MAX(date) as last_purchase_date,
-                            MIN(received_date) as first_received_date,
-                            MAX(received_date) as last_received_date,
-                            AVG(lead_time_days) as avg_lead_time_days
-                        FROM lead_time_orders
-                    `, [product.product_id]);
+        // Calculate product time aggregates
+        if (!SKIP_PRODUCT_TIME_AGGREGATES) {
+            outputProgress({
+                status: 'running',
+                operation: 'Starting product time aggregates calculation',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
 
-                    // Get stock info
-                    const [stockInfo] = await connection.query(`
-                        SELECT 
-                            p.stock_quantity, 
-                            p.cost_price,
-                            p.created_at,
-                            p.replenishable,
-                            p.moq,
-                            DATEDIFF(CURDATE(), MIN(po.received_date)) as days_since_first_stock,
-                            DATEDIFF(CURDATE(), COALESCE(
-                                (SELECT MAX(o2.date) 
-                                 FROM orders o2 
-                                 WHERE o2.product_id = p.product_id 
-                                   AND o2.canceled = false),
-                                CURDATE()
-                            )) as days_since_last_sale,
-                            (SELECT SUM(quantity) 
-                             FROM orders o3 
-                             WHERE o3.product_id = p.product_id 
-                               AND o3.canceled = false) as total_quantity_sold,
-                            CASE 
-                                WHEN EXISTS (
-                                    SELECT 1 FROM orders o 
-                                    WHERE o.product_id = p.product_id 
-                                    AND o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
-                                    AND o.canceled = false 
-                                    AND (SELECT SUM(quantity) FROM orders o2 
-                                         WHERE o2.product_id = p.product_id 
-                                         AND o2.date >= o.date 
-                                         AND o2.canceled = false) = 0
-                                ) THEN true
-                                ELSE false
-                            END as had_recent_stockout
-                        FROM products p
-                        LEFT JOIN purchase_orders po ON p.product_id = po.product_id 
-                            AND po.status = 'closed' 
-                            AND po.received > 0
-                        WHERE p.product_id = ?
-                        GROUP BY p.product_id
-                    `, [product.product_id]);
+            // 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,
+                    YEAR(o.date) as year,
+                    MONTH(o.date) as month,
+                    SUM(o.quantity) as total_quantity_sold,
+                    SUM(o.quantity * o.price) as total_revenue,
+                    SUM(o.quantity * p.cost_price) 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 >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
+                GROUP BY p.pid, YEAR(o.date), MONTH(o.date)
+                ON DUPLICATE KEY UPDATE
+                    total_quantity_sold = VALUES(total_quantity_sold),
+                    total_revenue = VALUES(total_revenue),
+                    total_cost = VALUES(total_cost),
+                    order_count = VALUES(order_count),
+                    avg_price = VALUES(avg_price),
+                    profit_margin = VALUES(profit_margin),
+                    inventory_value = VALUES(inventory_value),
+                    gmroi = VALUES(gmroi)
+            `);
 
-                    // Calculate metrics
-                    const metrics = salesMetrics[0] || {};
-                    const purchases = purchaseMetrics[0] || {};
-                    const stock = stockInfo[0] || {};
-
-                    const daily_sales_avg = metrics.rolling_daily_avg || 0;
-                    const weekly_sales_avg = metrics.rolling_weekly_avg || 0;
-                    const monthly_sales_avg = metrics.total_quantity_sold ? metrics.total_quantity_sold / 30 : 0;
-                    
-                    // Calculate days of inventory
-                    const days_of_inventory = daily_sales_avg > 0 ? 
-                        Math.ceil(
-                            (stock.stock_quantity / daily_sales_avg) + 
-                            (purchases.avg_lead_time_days || config.reorder_days) * 
-                            (1 + (config.service_level / 100))
-                        ) : null;
-
-                    const weeks_of_inventory = days_of_inventory ? Math.ceil(days_of_inventory / 7) : null;
-
-                    // Calculate margin percent
-                    const margin_percent = metrics.total_revenue > 0 ? 
-                        ((metrics.total_revenue - metrics.total_cost) / metrics.total_revenue) * 100 : 
-                        null;
-
-                    // Calculate inventory value
-                    const inventory_value = (stock.stock_quantity || 0) * (stock.cost_price || 0);
-
-                    // Calculate stock status
-                    const stock_status = calculateStockStatus(stock, config, daily_sales_avg, weekly_sales_avg, monthly_sales_avg);
-
-                    // Calculate reorder quantity and overstocked amount
-                    const { reorder_qty, overstocked_amt } = calculateReorderQuantities(
-                        stock,
-                        stock_status,
-                        daily_sales_avg,
-                        purchases.avg_lead_time_days,
-                        config
-                    );
-
-                    // Add to batch update
-                    metricsUpdates.push([
-                        product.product_id,
-                        daily_sales_avg || null,
-                        weekly_sales_avg || null,
-                        monthly_sales_avg || null,
-                        metrics.avg_quantity_per_order || null,
-                        metrics.number_of_orders || 0,
-                        metrics.first_sale_date || null,
-                        metrics.last_sale_date || null,
-                        days_of_inventory,
-                        weeks_of_inventory,
-                        daily_sales_avg > 0 ? Math.max(1, Math.ceil(daily_sales_avg * config.reorder_days)) : null,
-                        margin_percent,
-                        metrics.total_revenue || 0,
-                        inventory_value || 0,
-                        purchases.avg_lead_time_days || null,
-                        purchases.last_purchase_date || null,
-                        purchases.first_received_date || null,
-                        purchases.last_received_date || null,
-                        stock_status,
-                        reorder_qty,
-                        overstocked_amt
-                    ]);
-                } catch (err) {
-                    logError(err, `Failed processing product ${product.product_id}`);
-                    continue;
-                }
-            }
-
-            // Batch update metrics
-            if (metricsUpdates.length > 0) {
-                await connection.query(`
-                    INSERT INTO product_metrics (
-                        product_id,
-                        daily_sales_avg,
-                        weekly_sales_avg,
-                        monthly_sales_avg,
-                        avg_quantity_per_order,
-                        number_of_orders,
-                        first_sale_date,
-                        last_sale_date,
-                        days_of_inventory,
-                        weeks_of_inventory,
-                        reorder_point,
-                        avg_margin_percent,
-                        total_revenue,
-                        inventory_value,
-                        avg_lead_time_days,
-                        last_purchase_date,
-                        first_received_date,
-                        last_received_date,
-                        stock_status,
-                        reorder_qty,
-                        overstocked_amt
-                    ) VALUES ?
-                    ON DUPLICATE KEY UPDATE
-                        last_calculated_at = NOW(),
-                        daily_sales_avg = VALUES(daily_sales_avg),
-                        weekly_sales_avg = VALUES(weekly_sales_avg),
-                        monthly_sales_avg = VALUES(monthly_sales_avg),
-                        avg_quantity_per_order = VALUES(avg_quantity_per_order),
-                        number_of_orders = VALUES(number_of_orders),
-                        first_sale_date = VALUES(first_sale_date),
-                        last_sale_date = VALUES(last_sale_date),
-                        days_of_inventory = VALUES(days_of_inventory),
-                        weeks_of_inventory = VALUES(weeks_of_inventory),
-                        reorder_point = VALUES(reorder_point),
-                        avg_margin_percent = VALUES(avg_margin_percent),
-                        total_revenue = VALUES(total_revenue),
-                        inventory_value = VALUES(inventory_value),
-                        avg_lead_time_days = VALUES(avg_lead_time_days),
-                        last_purchase_date = VALUES(last_purchase_date),
-                        first_received_date = VALUES(first_received_date),
-                        last_received_date = VALUES(last_received_date),
-                        stock_status = VALUES(stock_status),
-                        reorder_qty = VALUES(reorder_qty),
-                        overstocked_amt = VALUES(overstocked_amt)
-                `, [metricsUpdates]);
-            }
+            processedCount = Math.floor(totalProducts * 0.6);
+            outputProgress({
+                status: 'running',
+                operation: 'Product time aggregates calculated',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+        } else {
+            processedCount = Math.floor(totalProducts * 0.6);
+            outputProgress({
+                status: 'running',
+                operation: 'Skipping product time aggregates calculation',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, processedCount, totalProducts),
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
         }
 
         return processedCount;
+    } catch (error) {
+        logError(error, 'Error calculating product metrics');
+        throw error;
     } finally {
-        connection.release();
+        if (connection) {
+            connection.release();
+        }
     }
 }
 
 function calculateStockStatus(stock, config, daily_sales_avg, weekly_sales_avg, monthly_sales_avg) {
-    const days_since_first_stock = stock.days_since_first_stock || 0;
-    const days_since_last_sale = stock.days_since_last_sale || 9999;
-    const total_quantity_sold = stock.total_quantity_sold || 0;
-    const had_recent_stockout = stock.had_recent_stockout || false;
-    const dq = stock.stock_quantity || 0;
-    const ds = daily_sales_avg || 0;
-    const ws = weekly_sales_avg || 0;
-    const ms = monthly_sales_avg || 0;
-    
-    // If no stock, return immediately
-    if (dq === 0) {
-        return had_recent_stockout ? 'Critical' : 'Out of Stock';
+    if (stock <= 0) {
+        return 'Out of Stock';
     }
 
-    // 1. Check if truly "New" (≤30 days and no sales)
-    if (days_since_first_stock <= 30 && total_quantity_sold === 0) {
-        return 'New';
+    // Use the most appropriate sales average based on data quality
+    let sales_avg = daily_sales_avg;
+    if (sales_avg === 0) {
+        sales_avg = weekly_sales_avg / 7;
+    }
+    if (sales_avg === 0) {
+        sales_avg = monthly_sales_avg / 30;
     }
 
-    // 2. Handle zero or very low sales velocity cases
-    if (ds === 0 || (ds < 0.1 && ws < 0.5)) {
-        if (days_since_first_stock > config.overstock_days) {
-            return 'Overstocked';
-        }
-        if (days_since_first_stock > 30) {
-            return 'At Risk';
-        }
+    if (sales_avg === 0) {
+        return stock <= config.low_stock_threshold ? 'Low Stock' : 'In Stock';
     }
 
-    // 3. Calculate days of supply and check velocity trends
-    const days_of_supply = ds > 0 ? dq / ds : 999;
-    const velocity_trend = ds > 0 ? (ds / (ms || ds) - 1) * 100 : 0;
+    const days_of_stock = stock / sales_avg;
 
-    // Critical stock level
-    if (days_of_supply <= config.critical_days) {
+    if (days_of_stock <= config.critical_days) {
         return 'Critical';
-    }
-
-    // Reorder cases
-    if (days_of_supply <= config.reorder_days || 
-        (had_recent_stockout && days_of_supply <= config.reorder_days * 1.5)) {
+    } else if (days_of_stock <= config.reorder_days) {
         return 'Reorder';
-    }
-
-    // At Risk cases
-    if (
-        (days_of_supply >= config.overstock_days * 0.8) ||
-        (velocity_trend <= -50 && days_of_supply > config.reorder_days * 2) ||
-        (days_since_last_sale > 45 && dq > 0) ||
-        (ds > 0 && ds < 0.2 && dq > ds * config.overstock_days * 0.5)
-    ) {
-        return 'At Risk';
-    }
-
-    // Overstock cases
-    if (days_of_supply >= config.overstock_days) {
+    } else if (days_of_stock > config.overstock_days) {
         return 'Overstocked';
     }
 
-    // If none of the above conditions are met
     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;
-    let overstocked_amt = 0;
-
-    // Only calculate reorder quantity for replenishable products
-    if (stock.replenishable && (stock_status === 'Critical' || stock_status === 'Reorder')) {
-        const ds = daily_sales_avg || 0;
-        const lt = avg_lead_time || 14;
-        const sc = config.safety_stock_days || 14;
-        const ss = config.safety_stock_days || 14;
-        const dq = stock.stock_quantity || 0;
-        const moq = stock.moq || 1;
-
-        // Calculate desired stock level
-        const desired_stock = (ds * (lt + sc)) + ss;
+    if (daily_sales_avg > 0) {
+        const annual_demand = daily_sales_avg * 365;
+        const order_cost = 25; // Fixed cost per order
+        const holding_cost_percent = 0.25; // 25% annual holding cost
         
-        // Calculate raw reorder amount
-        const raw_reorder = Math.max(0, desired_stock - dq);
-        
-        // Round up to nearest MOQ
-        reorder_qty = Math.ceil(raw_reorder / moq) * moq;
+        reorder_qty = Math.ceil(Math.sqrt((2 * annual_demand * order_cost) / holding_cost_percent));
+    } else {
+        // If no sales data, use a basic calculation
+        reorder_qty = Math.max(safety_stock, config.low_stock_threshold);
     }
 
-    // Calculate overstocked amount for overstocked products
-    if (stock_status === 'Overstocked') {
-        const ds = daily_sales_avg || 0;
-        const dq = stock.stock_quantity || 0;
-        const lt = avg_lead_time || 14;
-        const sc = config.safety_stock_days || 14;
-        const ss = config.safety_stock_days || 14;
+    // Calculate overstocked amount
+    const overstocked_amt = stock_status === 'Overstocked' ? 
+        stock - Math.ceil(daily_sales_avg * config.overstock_days) : 
+        0;
 
-        // Calculate maximum desired stock
-        const max_desired_stock = (ds * config.overstock_days) + ss;
-        
-        // Calculate excess inventory
-        overstocked_amt = Math.max(0, dq - max_desired_stock);
-    }
-
-    return { reorder_qty, overstocked_amt };
+    return {
+        safety_stock,
+        reorder_point,
+        reorder_qty,
+        overstocked_amt
+    };
 }
 
 module.exports = calculateProductMetrics; 

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

@@ -1,116 +1,170 @@
-const { outputProgress } = require('./utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress');
 const { getConnection } = require('./utils/db');
 
-async function calculateSalesForecasts(startTime, totalProducts, processedCount) {
+async function calculateSalesForecasts(startTime, totalProducts, processedCount, isCancelled = false) {
     const connection = await getConnection();
     try {
+        if (isCancelled) {
+            outputProgress({
+                status: 'cancelled',
+                operation: 'Sales forecasts calculation cancelled',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: null,
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+            return processedCount;
+        }
+
         outputProgress({
             status: 'running',
-            operation: 'Calculating sales forecasts',
-            current: Math.floor(totalProducts * 0.98),
+            operation: 'Starting sales forecasts calculation',
+            current: processedCount,
             total: totalProducts,
             elapsed: formatElapsedTime(startTime),
-            remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.98), totalProducts),
-            rate: calculateRate(startTime, Math.floor(totalProducts * 0.98)),
-            percentage: '98'
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
         });
 
+        // First, create a temporary table for forecast dates
+        await connection.query(`
+            CREATE TEMPORARY TABLE IF NOT EXISTS temp_forecast_dates (
+                forecast_date DATE,
+                day_of_week INT,
+                month INT,
+                PRIMARY KEY (forecast_date)
+            )
+        `);
+
+        await connection.query(`
+            INSERT INTO temp_forecast_dates
+            SELECT 
+                DATE_ADD(CURRENT_DATE, INTERVAL n DAY) as forecast_date,
+                DAYOFWEEK(DATE_ADD(CURRENT_DATE, INTERVAL n DAY)) as day_of_week,
+                MONTH(DATE_ADD(CURRENT_DATE, INTERVAL n DAY)) as month
+            FROM (
+                SELECT a.N + b.N * 10 as n 
+                FROM 
+                    (SELECT 0 as N UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION
+                     SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) a,
+                    (SELECT 0 as N UNION SELECT 1 UNION SELECT 2) b
+                ORDER BY n
+                LIMIT 31
+            ) numbers
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.92);
+        outputProgress({
+            status: 'running',
+            operation: 'Forecast dates prepared, calculating daily sales stats',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Create temporary table for daily sales stats
+        await connection.query(`
+            CREATE TEMPORARY TABLE IF NOT EXISTS temp_daily_sales AS
+            SELECT 
+                o.pid,
+                DAYOFWEEK(o.date) as day_of_week,
+                SUM(o.quantity) as daily_quantity,
+                SUM(o.price * o.quantity) as daily_revenue,
+                COUNT(DISTINCT DATE(o.date)) as day_count
+            FROM orders o
+            WHERE o.canceled = false
+                AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 90 DAY)
+            GROUP BY o.pid, DAYOFWEEK(o.date)
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.94);
+        outputProgress({
+            status: 'running',
+            operation: 'Daily sales stats calculated, preparing product stats',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Create temporary table for product stats
+        await connection.query(`
+            CREATE TEMPORARY TABLE IF NOT EXISTS temp_product_stats AS
+            SELECT 
+                pid,
+                AVG(daily_revenue) as overall_avg_revenue,
+                SUM(day_count) as total_days
+            FROM temp_daily_sales
+            GROUP BY pid
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.96);
+        outputProgress({
+            status: 'running',
+            operation: 'Product stats prepared, calculating product-level forecasts',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
         // Calculate product-level forecasts
         await connection.query(`
             INSERT INTO sales_forecasts (
-                product_id,
+                pid,
                 forecast_date,
                 forecast_units,
                 forecast_revenue,
                 confidence_level,
                 last_calculated_at
             )
-            WITH daily_sales AS (
-                SELECT 
-                    o.product_id,
-                    DATE(o.date) as sale_date,
-                    SUM(o.quantity) as daily_quantity,
-                    SUM(o.price * o.quantity) as daily_revenue
-                FROM orders o
-                WHERE o.canceled = false
-                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 90 DAY)
-                GROUP BY o.product_id, DATE(o.date)
-            ),
-            forecast_dates AS (
-                SELECT 
-                    DATE_ADD(CURRENT_DATE, INTERVAL n DAY) as forecast_date
-                FROM (
-                    SELECT 0 as n UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION
-                    SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9 UNION
-                    SELECT 10 UNION SELECT 11 UNION SELECT 12 UNION SELECT 13 UNION SELECT 14 UNION
-                    SELECT 15 UNION SELECT 16 UNION SELECT 17 UNION SELECT 18 UNION SELECT 19 UNION
-                    SELECT 20 UNION SELECT 21 UNION SELECT 22 UNION SELECT 23 UNION SELECT 24 UNION
-                    SELECT 25 UNION SELECT 26 UNION SELECT 27 UNION SELECT 28 UNION SELECT 29 UNION
-                    SELECT 30
-                ) numbers
-            ),
-            product_stats AS (
-                SELECT 
-                    ds.product_id,
-                    AVG(ds.daily_quantity) as avg_daily_quantity,
-                    STDDEV_SAMP(ds.daily_quantity) as std_daily_quantity,
-                    AVG(ds.daily_revenue) as avg_daily_revenue,
-                    STDDEV_SAMP(ds.daily_revenue) as std_daily_revenue,
-                    COUNT(*) as data_points,
-                    -- Calculate day-of-week averages
-                    AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 1 THEN ds.daily_revenue END) as sunday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 2 THEN ds.daily_revenue END) as monday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 3 THEN ds.daily_revenue END) as tuesday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 4 THEN ds.daily_revenue END) as wednesday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 5 THEN ds.daily_revenue END) as thursday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 6 THEN ds.daily_revenue END) as friday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 7 THEN ds.daily_revenue END) as saturday_avg
-                FROM daily_sales ds
-                GROUP BY ds.product_id
-            )
             SELECT 
-                ps.product_id,
+                ds.pid,
                 fd.forecast_date,
                 GREATEST(0, 
-                    ps.avg_daily_quantity * 
-                    (1 + COALESCE(
-                        (SELECT seasonality_factor 
-                         FROM sales_seasonality 
-                         WHERE MONTH(fd.forecast_date) = month 
-                         LIMIT 1), 
-                        0
-                    ))
+                    AVG(ds.daily_quantity) * 
+                    (1 + COALESCE(sf.seasonality_factor, 0))
                 ) as forecast_units,
                 GREATEST(0, 
-                    CASE DAYOFWEEK(fd.forecast_date)
-                        WHEN 1 THEN COALESCE(ps.sunday_avg, ps.avg_daily_revenue)
-                        WHEN 2 THEN COALESCE(ps.monday_avg, ps.avg_daily_revenue)
-                        WHEN 3 THEN COALESCE(ps.tuesday_avg, ps.avg_daily_revenue)
-                        WHEN 4 THEN COALESCE(ps.wednesday_avg, ps.avg_daily_revenue)
-                        WHEN 5 THEN COALESCE(ps.thursday_avg, ps.avg_daily_revenue)
-                        WHEN 6 THEN COALESCE(ps.friday_avg, ps.avg_daily_revenue)
-                        WHEN 7 THEN COALESCE(ps.saturday_avg, ps.avg_daily_revenue)
-                    END *
-                    (1 + COALESCE(
-                        (SELECT seasonality_factor 
-                         FROM sales_seasonality 
-                         WHERE MONTH(fd.forecast_date) = month 
-                         LIMIT 1), 
+                    COALESCE(
+                        CASE 
+                            WHEN SUM(ds.day_count) >= 4 THEN AVG(ds.daily_revenue)
+                            ELSE ps.overall_avg_revenue
+                        END * 
+                        (1 + COALESCE(sf.seasonality_factor, 0)) *
+                        (0.95 + (RAND() * 0.1)),
                         0
-                    )) *
-                    -- Add some randomness within a small range (±5%)
-                    (0.95 + (RAND() * 0.1))
+                    )
                 ) as forecast_revenue,
                 CASE
-                    WHEN ps.data_points >= 60 THEN 90
-                    WHEN ps.data_points >= 30 THEN 80
-                    WHEN ps.data_points >= 14 THEN 70
+                    WHEN ps.total_days >= 60 THEN 90
+                    WHEN ps.total_days >= 30 THEN 80
+                    WHEN ps.total_days >= 14 THEN 70
                     ELSE 60
                 END as confidence_level,
                 NOW() as last_calculated_at
-            FROM product_stats ps
-            CROSS JOIN forecast_dates fd
-            WHERE ps.avg_daily_quantity > 0
+            FROM temp_daily_sales ds
+            JOIN temp_product_stats ps ON ds.pid = ps.pid
+            CROSS JOIN temp_forecast_dates fd
+            LEFT JOIN sales_seasonality sf ON fd.month = sf.month
+            GROUP BY ds.pid, fd.forecast_date, ps.overall_avg_revenue, ps.total_days, sf.seasonality_factor
+            HAVING AVG(ds.daily_quantity) > 0
             ON DUPLICATE KEY UPDATE
                 forecast_units = VALUES(forecast_units),
                 forecast_revenue = VALUES(forecast_revenue),
@@ -118,6 +172,60 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
                 last_calculated_at = NOW()
         `);
 
+        processedCount = Math.floor(totalProducts * 0.98);
+        outputProgress({
+            status: 'running',
+            operation: 'Product forecasts calculated, preparing category stats',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Create temporary table for category stats
+        await connection.query(`
+            CREATE TEMPORARY TABLE IF NOT EXISTS temp_category_sales AS
+            SELECT 
+                pc.cat_id,
+                DAYOFWEEK(o.date) as day_of_week,
+                SUM(o.quantity) as daily_quantity,
+                SUM(o.price * o.quantity) as daily_revenue,
+                COUNT(DISTINCT DATE(o.date)) as day_count
+            FROM orders o
+            JOIN product_categories pc ON o.pid = pc.pid
+            WHERE o.canceled = false
+                AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 90 DAY)
+            GROUP BY pc.cat_id, DAYOFWEEK(o.date)
+        `);
+
+        await connection.query(`
+            CREATE TEMPORARY TABLE IF NOT EXISTS temp_category_stats AS
+            SELECT 
+                cat_id,
+                AVG(daily_revenue) as overall_avg_revenue,
+                SUM(day_count) as total_days
+            FROM temp_category_sales
+            GROUP BY cat_id
+        `);
+
+        processedCount = Math.floor(totalProducts * 0.99);
+        outputProgress({
+            status: 'running',
+            operation: 'Category stats prepared, calculating category-level forecasts',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
         // Calculate category-level forecasts
         await connection.query(`
             INSERT INTO category_forecasts (
@@ -128,93 +236,37 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
                 confidence_level,
                 last_calculated_at
             )
-            WITH category_daily_sales AS (
-                SELECT 
-                    pc.category_id,
-                    DATE(o.date) as sale_date,
-                    SUM(o.quantity) as daily_quantity,
-                    SUM(o.price * o.quantity) as daily_revenue
-                FROM orders o
-                JOIN product_categories pc ON o.product_id = pc.product_id
-                WHERE o.canceled = false
-                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 90 DAY)
-                GROUP BY pc.category_id, DATE(o.date)
-            ),
-            forecast_dates AS (
-                SELECT 
-                    DATE_ADD(CURRENT_DATE, INTERVAL n DAY) as forecast_date
-                FROM (
-                    SELECT 0 as n UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION
-                    SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9 UNION
-                    SELECT 10 UNION SELECT 11 UNION SELECT 12 UNION SELECT 13 UNION SELECT 14 UNION
-                    SELECT 15 UNION SELECT 16 UNION SELECT 17 UNION SELECT 18 UNION SELECT 19 UNION
-                    SELECT 20 UNION SELECT 21 UNION SELECT 22 UNION SELECT 23 UNION SELECT 24 UNION
-                    SELECT 25 UNION SELECT 26 UNION SELECT 27 UNION SELECT 28 UNION SELECT 29 UNION
-                    SELECT 30
-                ) numbers
-            ),
-            category_stats AS (
-                SELECT 
-                    cds.category_id,
-                    AVG(cds.daily_quantity) as avg_daily_quantity,
-                    STDDEV_SAMP(cds.daily_quantity) as std_daily_quantity,
-                    AVG(cds.daily_revenue) as avg_daily_revenue,
-                    STDDEV_SAMP(cds.daily_revenue) as std_daily_revenue,
-                    COUNT(*) as data_points,
-                    -- Calculate day-of-week averages
-                    AVG(CASE WHEN DAYOFWEEK(cds.sale_date) = 1 THEN cds.daily_revenue END) as sunday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(cds.sale_date) = 2 THEN cds.daily_revenue END) as monday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(cds.sale_date) = 3 THEN cds.daily_revenue END) as tuesday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(cds.sale_date) = 4 THEN cds.daily_revenue END) as wednesday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(cds.sale_date) = 5 THEN cds.daily_revenue END) as thursday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(cds.sale_date) = 6 THEN cds.daily_revenue END) as friday_avg,
-                    AVG(CASE WHEN DAYOFWEEK(cds.sale_date) = 7 THEN cds.daily_revenue END) as saturday_avg
-                FROM category_daily_sales cds
-                GROUP BY cds.category_id
-            )
             SELECT 
-                cs.category_id,
+                cs.cat_id as category_id,
                 fd.forecast_date,
                 GREATEST(0, 
-                    cs.avg_daily_quantity * 
-                    (1 + COALESCE(
-                        (SELECT seasonality_factor 
-                         FROM sales_seasonality 
-                         WHERE MONTH(fd.forecast_date) = month 
-                         LIMIT 1), 
-                        0
-                    ))
+                    AVG(cs.daily_quantity) * 
+                    (1 + COALESCE(sf.seasonality_factor, 0))
                 ) as forecast_units,
                 GREATEST(0, 
-                    CASE DAYOFWEEK(fd.forecast_date)
-                        WHEN 1 THEN COALESCE(cs.sunday_avg, cs.avg_daily_revenue)
-                        WHEN 2 THEN COALESCE(cs.monday_avg, cs.avg_daily_revenue)
-                        WHEN 3 THEN COALESCE(cs.tuesday_avg, cs.avg_daily_revenue)
-                        WHEN 4 THEN COALESCE(cs.wednesday_avg, cs.avg_daily_revenue)
-                        WHEN 5 THEN COALESCE(cs.thursday_avg, cs.avg_daily_revenue)
-                        WHEN 6 THEN COALESCE(cs.friday_avg, cs.avg_daily_revenue)
-                        WHEN 7 THEN COALESCE(cs.saturday_avg, cs.avg_daily_revenue)
-                    END *
-                    (1 + COALESCE(
-                        (SELECT seasonality_factor 
-                         FROM sales_seasonality 
-                         WHERE MONTH(fd.forecast_date) = month 
-                         LIMIT 1), 
+                    COALESCE(
+                        CASE 
+                            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 + (RAND() * 0.1)),
                         0
-                    )) *
-                    -- Add some randomness within a small range (±5%)
-                    (0.95 + (RAND() * 0.1))
+                    )
                 ) as forecast_revenue,
                 CASE
-                    WHEN cs.data_points >= 60 THEN 90
-                    WHEN cs.data_points >= 30 THEN 80
-                    WHEN cs.data_points >= 14 THEN 70
+                    WHEN ct.total_days >= 60 THEN 90
+                    WHEN ct.total_days >= 30 THEN 80
+                    WHEN ct.total_days >= 14 THEN 70
                     ELSE 60
                 END as confidence_level,
                 NOW() as last_calculated_at
-            FROM category_stats cs
-            CROSS JOIN forecast_dates fd
-            WHERE cs.avg_daily_quantity > 0
+            FROM temp_category_sales cs
+            JOIN temp_category_stats ct ON cs.cat_id = ct.cat_id
+            CROSS JOIN temp_forecast_dates fd
+            LEFT JOIN sales_seasonality sf ON fd.month = sf.month
+            GROUP BY cs.cat_id, fd.forecast_date, ct.overall_avg_revenue, ct.total_days, sf.seasonality_factor
+            HAVING AVG(cs.daily_quantity) > 0
             ON DUPLICATE KEY UPDATE
                 forecast_units = VALUES(forecast_units),
                 forecast_revenue = VALUES(forecast_revenue),
@@ -222,9 +274,35 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
                 last_calculated_at = NOW()
         `);
 
-        return Math.floor(totalProducts * 1.0);
+        // Clean up temporary tables
+        await connection.query(`
+            DROP TEMPORARY TABLE IF EXISTS temp_forecast_dates;
+            DROP TEMPORARY TABLE IF EXISTS temp_daily_sales;
+            DROP TEMPORARY TABLE IF EXISTS temp_product_stats;
+            DROP TEMPORARY TABLE IF EXISTS temp_category_sales;
+            DROP TEMPORARY TABLE IF EXISTS temp_category_stats;
+        `);
+
+        processedCount = Math.floor(totalProducts * 1.0);
+        outputProgress({
+            status: 'running',
+            operation: 'Category forecasts calculated and temporary tables cleaned up',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        return processedCount;
+    } catch (error) {
+        logError(error, 'Error calculating sales forecasts');
+        throw error;
     } finally {
-        connection.release();
+        if (connection) {
+            connection.release();
+        }
     }
 }
 

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

@@ -1,12 +1,38 @@
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress');
 const { getConnection } = require('./utils/db');
 
-async function calculateTimeAggregates(startTime, totalProducts, processedCount) {
+async function calculateTimeAggregates(startTime, totalProducts, processedCount, isCancelled = false) {
     const connection = await getConnection();
     try {
+        if (isCancelled) {
+            outputProgress({
+                status: 'cancelled',
+                operation: 'Time aggregates calculation cancelled',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: null,
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+            return processedCount;
+        }
+
+        outputProgress({
+            status: 'running',
+            operation: 'Starting time aggregates calculation',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
         // Initial insert of time-based aggregates
         await connection.query(`
             INSERT INTO product_time_aggregates (
-                product_id,
+                pid,
                 year,
                 month,
                 total_quantity_sold,
@@ -20,7 +46,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount)
             )
             WITH sales_data AS (
                 SELECT 
-                    o.product_id,
+                    o.pid,
                     YEAR(o.date) as year,
                     MONTH(o.date) as month,
                     SUM(o.quantity) as total_quantity_sold,
@@ -35,23 +61,23 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount)
                               SUM((o.price - COALESCE(o.discount, 0)) * o.quantity)) * 100
                     END as profit_margin
                 FROM orders o
-                JOIN products p ON o.product_id = p.product_id
+                JOIN products p ON o.pid = p.pid
                 WHERE o.canceled = 0
-                GROUP BY o.product_id, YEAR(o.date), MONTH(o.date)
+                GROUP BY o.pid, YEAR(o.date), MONTH(o.date)
             ),
             purchase_data AS (
                 SELECT 
-                    product_id,
+                    pid,
                     YEAR(date) as year,
                     MONTH(date) as month,
                     SUM(received) as stock_received,
                     SUM(ordered) as stock_ordered
                 FROM purchase_orders
-                WHERE status = 'closed'
-                GROUP BY product_id, YEAR(date), MONTH(date)
+                WHERE status = 50
+                GROUP BY pid, YEAR(date), MONTH(date)
             )
             SELECT 
-                s.product_id,
+                s.pid,
                 s.year,
                 s.month,
                 s.total_quantity_sold,
@@ -64,12 +90,12 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount)
                 s.profit_margin
             FROM sales_data s
             LEFT JOIN purchase_data p 
-                ON s.product_id = p.product_id 
+                ON s.pid = p.pid 
                 AND s.year = p.year 
                 AND s.month = p.month
             UNION
             SELECT 
-                p.product_id,
+                p.pid,
                 p.year,
                 p.month,
                 0 as total_quantity_sold,
@@ -82,10 +108,10 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount)
                 0 as profit_margin
             FROM purchase_data p
             LEFT JOIN sales_data s
-                ON p.product_id = s.product_id 
+                ON p.pid = s.pid 
                 AND p.year = s.year 
                 AND p.month = s.month
-            WHERE s.product_id IS NULL
+            WHERE s.pid IS NULL
             ON DUPLICATE KEY UPDATE
                 total_quantity_sold = VALUES(total_quantity_sold),
                 total_revenue = VALUES(total_revenue),
@@ -97,22 +123,36 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount)
                 profit_margin = VALUES(profit_margin)
         `);
 
+        processedCount = Math.floor(totalProducts * 0.60);
+        outputProgress({
+            status: 'running',
+            operation: 'Base time aggregates calculated, updating financial metrics',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
         // Update with financial metrics
         await connection.query(`
             UPDATE product_time_aggregates pta
             JOIN (
                 SELECT 
-                    p.product_id,
+                    p.pid,
                     YEAR(o.date) as year,
                     MONTH(o.date) 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 days_in_period
                 FROM products p
-                LEFT JOIN orders o ON p.product_id = o.product_id
+                LEFT JOIN orders o ON p.pid = o.pid
                 WHERE o.canceled = false
-                GROUP BY p.product_id, YEAR(o.date), MONTH(o.date)
-            ) fin ON pta.product_id = fin.product_id 
+                GROUP BY p.pid, YEAR(o.date), MONTH(o.date)
+            ) fin ON pta.pid = fin.pid 
                 AND pta.year = fin.year 
                 AND pta.month = fin.month
             SET 
@@ -124,9 +164,26 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount)
                 END
         `);
 
-        return Math.floor(totalProducts * 0.65);
+        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)
+        });
+
+        return processedCount;
+    } catch (error) {
+        logError(error, 'Error calculating time aggregates');
+        throw error;
     } finally {
-        connection.release();
+        if (connection) {
+            connection.release();
+        }
     }
 }
 

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

@@ -2,8 +2,15 @@ const fs = require('fs');
 const path = require('path');
 
 // Helper function to format elapsed time
-function formatElapsedTime(startTime) {
-    const elapsed = Date.now() - startTime;
+function formatElapsedTime(elapsed) {
+    // If elapsed is a timestamp, convert to elapsed milliseconds
+    if (elapsed instanceof Date || elapsed > 1000000000000) {
+        elapsed = Date.now() - elapsed;
+    } else {
+        // If elapsed is in seconds, convert to milliseconds
+        elapsed = elapsed * 1000;
+    }
+    
     const seconds = Math.floor(elapsed / 1000);
     const minutes = Math.floor(seconds / 60);
     const hours = Math.floor(minutes / 60);

inventory-server/scripts/metrics/vendor-metrics.js

@@ -1,174 +1,173 @@
-const { outputProgress } = require('./utils/progress');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress');
 const { getConnection } = require('./utils/db');
 
-async function calculateVendorMetrics(startTime, totalProducts, processedCount) {
+async function calculateVendorMetrics(startTime, totalProducts, processedCount, isCancelled = false) {
     const connection = await getConnection();
     try {
+        if (isCancelled) {
+            outputProgress({
+                status: 'cancelled',
+                operation: 'Vendor metrics calculation cancelled',
+                current: processedCount,
+                total: totalProducts,
+                elapsed: formatElapsedTime(startTime),
+                remaining: null,
+                rate: calculateRate(startTime, processedCount),
+                percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+            });
+            return processedCount;
+        }
+
         outputProgress({
             status: 'running',
-            operation: 'Calculating vendor metrics',
-            current: Math.floor(totalProducts * 0.7),
+            operation: 'Starting vendor metrics calculation',
+            current: processedCount,
             total: totalProducts,
             elapsed: formatElapsedTime(startTime),
-            remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.7), totalProducts),
-            rate: calculateRate(startTime, Math.floor(totalProducts * 0.7)),
-            percentage: '70'
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
         });
 
-        // First, ensure all vendors exist in vendor_details
+        // First ensure all vendors exist in vendor_details
         await connection.query(`
-            INSERT IGNORE INTO vendor_details (vendor, status)
-            SELECT DISTINCT vendor, 'active' as status
+            INSERT IGNORE INTO vendor_details (vendor, status, created_at, updated_at)
+            SELECT DISTINCT 
+                vendor,
+                'active' as status,
+                NOW() as created_at,
+                NOW() as updated_at
             FROM products
             WHERE vendor IS NOT NULL
-            AND vendor NOT IN (SELECT vendor FROM vendor_details)
         `);
 
-        // Calculate vendor performance metrics
+        processedCount = Math.floor(totalProducts * 0.8);
+        outputProgress({
+            status: 'running',
+            operation: 'Vendor details updated, calculating metrics',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
+
+        if (isCancelled) return processedCount;
+
+        // Now calculate vendor metrics
         await connection.query(`
             INSERT INTO vendor_metrics (
                 vendor,
+                total_revenue,
+                total_orders,
+                total_late_orders,
                 avg_lead_time_days,
                 on_time_delivery_rate,
                 order_fill_rate,
-                total_orders,
-                total_late_orders,
-                total_purchase_value,
                 avg_order_value,
                 active_products,
                 total_products,
-                total_revenue,
-                avg_margin_percent,
-                status
+                status,
+                last_calculated_at
             )
-            WITH vendor_orders AS (
+            WITH vendor_sales AS (
                 SELECT 
-                    po.vendor,
-                    AVG(DATEDIFF(po.received_date, po.date)) as avg_lead_time_days,
-                    COUNT(*) as total_orders,
-                    COUNT(CASE WHEN po.received_date > po.expected_date THEN 1 END) as total_late_orders,
-                    SUM(po.cost_price * po.ordered) as total_purchase_value,
-                    AVG(po.cost_price * po.ordered) as avg_order_value,
-                    CASE 
-                        WHEN COUNT(*) > 0 THEN 
-                            (COUNT(CASE WHEN po.received = po.ordered THEN 1 END) * 100.0) / COUNT(*)
-                        ELSE 0 
-                    END as order_fill_rate
-                FROM purchase_orders po
-                WHERE po.status = 'closed'
-                GROUP BY po.vendor
+                    p.vendor,
+                    SUM(o.quantity * o.price) as total_revenue,
+                    COUNT(DISTINCT o.id) as total_orders,
+                    COUNT(DISTINCT p.pid) as active_products
+                FROM products p
+                JOIN orders o ON p.pid = o.pid
+                WHERE o.canceled = false
+                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
+                GROUP BY p.vendor
+            ),
+            vendor_po AS (
+                SELECT 
+                    p.vendor,
+                    COUNT(DISTINCT CASE WHEN po.receiving_status = 40 THEN po.id END) as received_orders,
+                    COUNT(DISTINCT po.id) as total_orders,
+                    AVG(CASE 
+                        WHEN po.receiving_status = 40 
+                        THEN DATEDIFF(po.received_date, po.date) 
+                    END) as avg_lead_time_days
+                FROM products p
+                JOIN purchase_orders po ON p.pid = po.pid
+                WHERE po.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
+                GROUP BY p.vendor
             ),
             vendor_products AS (
                 SELECT 
-                    p.vendor,
-                    COUNT(DISTINCT p.product_id) as total_products,
-                    COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
-                    SUM(o.price * o.quantity) as total_revenue,
-                    CASE 
-                        WHEN SUM(o.price * o.quantity) > 0 THEN 
-                            (SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
-                        ELSE 0 
-                    END as avg_margin_percent
-                FROM products p
-                LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
-                GROUP BY p.vendor
+                    vendor,
+                    COUNT(DISTINCT pid) as total_products
+                FROM products
+                GROUP BY vendor
             )
             SELECT 
-                vd.vendor,
-                COALESCE(vo.avg_lead_time_days, 0) as avg_lead_time_days,
+                vs.vendor,
+                COALESCE(vs.total_revenue, 0) as total_revenue,
+                COALESCE(vp.total_orders, 0) as total_orders,
+                COALESCE(vp.total_orders - vp.received_orders, 0) as total_late_orders,
+                COALESCE(vp.avg_lead_time_days, 0) as avg_lead_time_days,
                 CASE 
-                    WHEN COALESCE(vo.total_orders, 0) > 0 THEN 
-                        ((COALESCE(vo.total_orders, 0) - COALESCE(vo.total_late_orders, 0)) * 100.0) / COALESCE(vo.total_orders, 1)
+                    WHEN vp.total_orders > 0 
+                    THEN (vp.received_orders / vp.total_orders) * 100 
                     ELSE 0 
                 END as on_time_delivery_rate,
-                COALESCE(vo.order_fill_rate, 0) as order_fill_rate,
-                COALESCE(vo.total_orders, 0) as total_orders,
-                COALESCE(vo.total_late_orders, 0) as total_late_orders,
-                COALESCE(vo.total_purchase_value, 0) as total_purchase_value,
-                COALESCE(vo.avg_order_value, 0) as avg_order_value,
-                COALESCE(vp.active_products, 0) as active_products,
-                COALESCE(vp.total_products, 0) as total_products,
-                COALESCE(vp.total_revenue, 0) as total_revenue,
-                COALESCE(vp.avg_margin_percent, 0) as avg_margin_percent,
-                vd.status
-            FROM vendor_details vd
-            LEFT JOIN vendor_orders vo ON vd.vendor = vo.vendor
-            LEFT JOIN vendor_products vp ON vd.vendor = vp.vendor
+                CASE 
+                    WHEN vp.total_orders > 0 
+                    THEN (vp.received_orders / vp.total_orders) * 100 
+                    ELSE 0 
+                END as order_fill_rate,
+                CASE 
+                    WHEN vs.total_orders > 0 
+                    THEN vs.total_revenue / vs.total_orders 
+                    ELSE 0 
+                END as avg_order_value,
+                COALESCE(vs.active_products, 0) as active_products,
+                COALESCE(vpr.total_products, 0) as total_products,
+                'active' as status,
+                NOW() as last_calculated_at
+            FROM vendor_sales vs
+            LEFT JOIN vendor_po vp ON vs.vendor = vp.vendor
+            LEFT JOIN vendor_products vpr ON vs.vendor = vpr.vendor
+            WHERE vs.vendor IS NOT NULL
             ON DUPLICATE KEY UPDATE
+                total_revenue = VALUES(total_revenue),
+                total_orders = VALUES(total_orders),
+                total_late_orders = VALUES(total_late_orders),
                 avg_lead_time_days = VALUES(avg_lead_time_days),
                 on_time_delivery_rate = VALUES(on_time_delivery_rate),
                 order_fill_rate = VALUES(order_fill_rate),
-                total_orders = VALUES(total_orders),
-                total_late_orders = VALUES(total_late_orders),
-                total_purchase_value = VALUES(total_purchase_value),
                 avg_order_value = VALUES(avg_order_value),
                 active_products = VALUES(active_products),
                 total_products = VALUES(total_products),
-                total_revenue = VALUES(total_revenue),
-                avg_margin_percent = VALUES(avg_margin_percent),
                 status = VALUES(status),
-                last_calculated_at = CURRENT_TIMESTAMP
+                last_calculated_at = VALUES(last_calculated_at)
         `);
 
-        // Calculate vendor time-based metrics
-        await connection.query(`
-            INSERT INTO vendor_time_metrics (
-                vendor,
-                year,
-                month,
-                total_orders,
-                late_orders,
-                avg_lead_time_days,
-                total_purchase_value,
-                total_revenue,
-                avg_margin_percent
-            )
-            WITH vendor_time_data AS (
-                SELECT 
-                    vd.vendor,
-                    YEAR(po.date) as year,
-                    MONTH(po.date) as month,
-                    COUNT(DISTINCT po.po_id) as total_orders,
-                    COUNT(DISTINCT CASE WHEN po.received_date > po.expected_date THEN po.po_id END) as late_orders,
-                    AVG(DATEDIFF(po.received_date, po.date)) as avg_lead_time_days,
-                    SUM(po.cost_price * po.ordered) as total_purchase_value,
-                    SUM(o.price * o.quantity) as total_revenue,
-                    CASE 
-                        WHEN SUM(o.price * o.quantity) > 0 THEN 
-                            (SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
-                        ELSE 0 
-                    END as avg_margin_percent
-                FROM vendor_details vd
-                LEFT JOIN products p ON vd.vendor = p.vendor
-                LEFT JOIN purchase_orders po ON p.product_id = po.product_id
-                LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
-                WHERE po.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
-                GROUP BY vd.vendor, YEAR(po.date), MONTH(po.date)
-            )
-            SELECT 
-                vendor,
-                year,
-                month,
-                COALESCE(total_orders, 0) as total_orders,
-                COALESCE(late_orders, 0) as late_orders,
-                COALESCE(avg_lead_time_days, 0) as avg_lead_time_days,
-                COALESCE(total_purchase_value, 0) as total_purchase_value,
-                COALESCE(total_revenue, 0) as total_revenue,
-                COALESCE(avg_margin_percent, 0) as avg_margin_percent
-            FROM vendor_time_data
-            ON DUPLICATE KEY UPDATE
-                total_orders = VALUES(total_orders),
-                late_orders = VALUES(late_orders),
-                avg_lead_time_days = VALUES(avg_lead_time_days),
-                total_purchase_value = VALUES(total_purchase_value),
-                total_revenue = VALUES(total_revenue),
-                avg_margin_percent = VALUES(avg_margin_percent)
-        `);
+        processedCount = Math.floor(totalProducts * 0.9);
+        outputProgress({
+            status: 'running',
+            operation: 'Vendor metrics calculated',
+            current: processedCount,
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, processedCount, totalProducts),
+            rate: calculateRate(startTime, processedCount),
+            percentage: ((processedCount / totalProducts) * 100).toFixed(1)
+        });
 
-        return Math.floor(totalProducts * 0.75);
+        return processedCount;
+    } catch (error) {
+        logError(error, 'Error calculating vendor metrics');
+        throw error;
     } finally {
-        connection.release();
+        if (connection) {
+            connection.release();
+        }
     }
 }
 
-module.exports = calculateVendorMetrics; 
+module.exports = calculateVendorMetrics;

inventory-server/scripts/old_csv/import-csv.js

@@ -3,6 +3,7 @@ const path = require('path');
 const csv = require('csv-parse');
 const mysql = require('mysql2/promise');
 const dotenv = require('dotenv');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
 
 // Get test limits from environment variables
 const PRODUCTS_TEST_LIMIT = parseInt(process.env.PRODUCTS_TEST_LIMIT || '0');
@@ -106,20 +107,19 @@ async function countRows(filePath) {
 }
 
 // Helper function to update progress with time estimate
-function updateProgress(current, total, operation, startTime) {
-    const elapsed = (Date.now() - startTime) / 1000;
-    const rate = current / elapsed; // rows per second
-    const remaining = (total - current) / rate;
-    
+function updateProgress(current, total, operation, startTime, added = 0, updated = 0, skipped = 0) {
     outputProgress({
         status: 'running',
         operation,
         current,
         total,
-        rate,
-        elapsed: formatDuration(elapsed),
-        remaining: formatDuration(remaining),
-        percentage: ((current / total) * 100).toFixed(1)
+        rate: calculateRate(startTime, current),
+        elapsed: formatElapsedTime(startTime),
+        remaining: estimateRemaining(startTime, current, total),
+        percentage: ((current / total) * 100).toFixed(1),
+        added,
+        updated,
+        skipped
     });
 }
 
@@ -474,7 +474,7 @@ async function importProducts(pool, filePath) {
             // Update progress every 100ms to avoid console flooding
             const now = Date.now();
             if (now - lastUpdate > 100) {
-                updateProgress(rowCount, totalRows, 'Products import', startTime);
+                updateProgress(rowCount, totalRows, 'Products import', startTime, added, updated, 0);
                 lastUpdate = now;
             }
 
@@ -678,7 +678,7 @@ async function importOrders(pool, filePath) {
         // Update progress every 100ms
         const now = Date.now();
         if (now - lastUpdate > 100) {
-            updateProgress(rowCount, totalRows, 'Orders import', startTime);
+            updateProgress(rowCount, totalRows, 'Orders import', startTime, added, updated, skipped);
             lastUpdate = now;
         }
 
@@ -845,7 +845,7 @@ async function importPurchaseOrders(pool, filePath) {
         // Update progress every 100ms
         const now = Date.now();
         if (now - lastUpdate > 100) {
-            updateProgress(rowCount, totalRows, 'Purchase orders import', startTime);
+            updateProgress(rowCount, totalRows, 'Purchase orders import', startTime, added, updated, skipped);
             lastUpdate = now;
         }
 

inventory-server/scripts/old_csv/update-csv.js

@@ -0,0 +1,180 @@
+const path = require('path');
+const fs = require('fs');
+const axios = require('axios');
+const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
+
+// Change working directory to script directory
+process.chdir(path.dirname(__filename));
+
+require('dotenv').config({ path: path.resolve(__dirname, '..', '.env') });
+
+const FILES = [
+    {
+        name: '39f2x83-products.csv',
+        url: process.env.PRODUCTS_CSV_URL
+    },
+    {
+        name: '39f2x83-orders.csv',
+        url: process.env.ORDERS_CSV_URL
+    },
+    {
+        name: '39f2x83-purchase_orders.csv',
+        url: process.env.PURCHASE_ORDERS_CSV_URL
+    }
+];
+
+let isCancelled = false;
+
+function cancelUpdate() {
+    isCancelled = true;
+    outputProgress({
+        status: 'cancelled',
+        operation: 'CSV update cancelled',
+        current: 0,
+        total: FILES.length,
+        elapsed: null,
+        remaining: null,
+        rate: 0
+    });
+}
+
+async function downloadFile(file, index, startTime) {
+    if (isCancelled) return;
+
+    const csvDir = path.join(__dirname, '../csv');
+    if (!fs.existsSync(csvDir)) {
+        fs.mkdirSync(csvDir, { recursive: true });
+    }
+
+    const writer = fs.createWriteStream(path.join(csvDir, file.name));
+    
+    try {
+        const response = await axios({
+            url: file.url,
+            method: 'GET',
+            responseType: 'stream'
+        });
+
+        const totalLength = response.headers['content-length'];
+        let downloadedLength = 0;
+        let lastProgressUpdate = Date.now();
+        const PROGRESS_INTERVAL = 1000; // Update progress every second
+
+        response.data.on('data', (chunk) => {
+            if (isCancelled) {
+                writer.end();
+                return;
+            }
+
+            downloadedLength += chunk.length;
+            
+            // Update progress based on time interval
+            const now = Date.now();
+            if (now - lastProgressUpdate >= PROGRESS_INTERVAL) {
+                const progress = (downloadedLength / totalLength) * 100;
+                outputProgress({
+                    status: 'running',
+                    operation: `Downloading ${file.name}`,
+                    current: index + (downloadedLength / totalLength),
+                    total: FILES.length,
+                    elapsed: formatElapsedTime(startTime),
+                    remaining: estimateRemaining(startTime, index + (downloadedLength / totalLength), FILES.length),
+                    rate: calculateRate(startTime, index + (downloadedLength / totalLength)),
+                    percentage: progress.toFixed(1),
+                    file_progress: {
+                        name: file.name,
+                        downloaded: downloadedLength,
+                        total: totalLength,
+                        percentage: progress.toFixed(1)
+                    }
+                });
+                lastProgressUpdate = now;
+            }
+        });
+
+        response.data.pipe(writer);
+
+        return new Promise((resolve, reject) => {
+            writer.on('finish', resolve);
+            writer.on('error', reject);
+        });
+    } catch (error) {
+        fs.unlinkSync(path.join(csvDir, file.name));
+        throw error;
+    }
+}
+
+// Main function to update all files
+async function updateFiles() {
+    const startTime = Date.now();
+    
+    outputProgress({
+        status: 'running',
+        operation: 'Starting CSV update',
+        current: 0,
+        total: FILES.length,
+        elapsed: '0s',
+        remaining: null,
+        rate: 0,
+        percentage: '0'
+    });
+
+    try {
+        for (let i = 0; i < FILES.length; i++) {
+            if (isCancelled) {
+                return;
+            }
+
+            const file = FILES[i];
+            await downloadFile(file, i, startTime);
+
+            outputProgress({
+                status: 'running',
+                operation: 'CSV update in progress',
+                current: i + 1,
+                total: FILES.length,
+                elapsed: formatElapsedTime(startTime),
+                remaining: estimateRemaining(startTime, i + 1, FILES.length),
+                rate: calculateRate(startTime, i + 1),
+                percentage: (((i + 1) / FILES.length) * 100).toFixed(1)
+            });
+        }
+
+        outputProgress({
+            status: 'complete',
+            operation: 'CSV update complete',
+            current: FILES.length,
+            total: FILES.length,
+            elapsed: formatElapsedTime(startTime),
+            remaining: '0s',
+            rate: calculateRate(startTime, FILES.length),
+            percentage: '100'
+        });
+    } catch (error) {
+        outputProgress({
+            status: 'error',
+            operation: 'CSV update failed',
+            error: error.message,
+            current: 0,
+            total: FILES.length,
+            elapsed: formatElapsedTime(startTime),
+            remaining: null,
+            rate: 0
+        });
+        throw error;
+    }
+}
+
+// Run the update only if this is the main module
+if (require.main === module) {
+    updateFiles().catch((error) => {
+        console.error('Error updating CSV files:', error);
+        process.exit(1);
+    });
+}
+
+// Export the functions needed by the route
+module.exports = {
+    updateFiles,
+    cancelUpdate
+}; 

inventory-server/scripts/reset-db.js

@@ -40,6 +40,7 @@ const CONFIG_TABLES = [
     'sales_velocity_config',
     'abc_classification_config',
     'safety_stock_config',
+    'sales_seasonality',
     'turnover_config'
 ];
 
@@ -155,7 +156,7 @@ async function resetDatabase() {
             SELECT GROUP_CONCAT(table_name) as tables 
             FROM information_schema.tables 
             WHERE table_schema = DATABASE()
-            AND table_name != 'users'
+            AND table_name NOT IN ('users', 'import_history')
         `);
 
         if (!tables[0].tables) {

inventory-server/scripts/reset-metrics.js

@@ -12,10 +12,16 @@ const dbConfig = {
 };
 
 function outputProgress(data) {
+    if (!data.status) {
+        data = {
+            status: 'running',
+            ...data
+        };
+    }
     console.log(JSON.stringify(data));
 }
 
-// Explicitly define all metrics-related tables
+// Explicitly define all metrics-related tables in dependency order
 const METRICS_TABLES = [
     'brand_metrics',
     'brand_time_metrics',
@@ -26,7 +32,6 @@ const METRICS_TABLES = [
     'product_metrics',
     'product_time_aggregates',
     'sales_forecasts',
-    'sales_seasonality',
     'temp_purchase_metrics',
     'temp_sales_metrics',
     'vendor_metrics', //before vendor_details for foreign key
@@ -34,56 +39,279 @@ const METRICS_TABLES = [
     'vendor_details'
 ];
 
-// Config tables that must exist
-const CONFIG_TABLES = [
-    'stock_thresholds',
-    'lead_time_thresholds',
-    'sales_velocity_config',
-    'abc_classification_config',
-    'safety_stock_config',
-    'turnover_config'
-];
-
-// Core tables that must exist
-const REQUIRED_CORE_TABLES = [
-    'products',
-    'orders',
-    'purchase_orders'
-];
+// 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 connection;
     try {
+        outputProgress({
+            operation: 'Starting metrics reset',
+            message: 'Connecting to database...'
+        });
+
         connection = await mysql.createConnection(dbConfig);
         await connection.beginTransaction();
 
-        // Drop all metrics tables
-        for (const table of METRICS_TABLES) {
-            console.log(`Dropping table: ${table}`);
+        // First verify current state
+        const [initialTables] = await connection.query(`
+            SELECT TABLE_NAME as name
+            FROM information_schema.tables 
+            WHERE TABLE_SCHEMA = DATABASE()
+            AND TABLE_NAME IN (?)
+        `, [METRICS_TABLES]);
+
+        outputProgress({
+            operation: 'Initial state',
+            message: `Found ${initialTables.length} existing metrics tables: ${initialTables.map(t => t.name).join(', ')}`
+        });
+
+        // Disable foreign key checks at the start
+        await connection.query('SET FOREIGN_KEY_CHECKS = 0');
+
+        // Drop all metrics tables in reverse order to handle dependencies
+        outputProgress({
+            operation: 'Dropping metrics tables',
+            message: 'Removing existing metrics tables...'
+        });
+
+        for (const table of [...METRICS_TABLES].reverse()) {
             try {
                 await connection.query(`DROP TABLE IF EXISTS ${table}`);
-                console.log(`Successfully dropped: ${table}`);
+                
+                // Verify the table was actually dropped
+                const [checkDrop] = await connection.query(`
+                    SELECT COUNT(*) as count 
+                    FROM information_schema.tables 
+                    WHERE TABLE_SCHEMA = DATABASE() 
+                    AND TABLE_NAME = ?
+                `, [table]);
+                
+                if (checkDrop[0].count > 0) {
+                    throw new Error(`Failed to drop table ${table} - table still exists`);
+                }
+
+                outputProgress({
+                    operation: 'Table dropped',
+                    message: `Successfully dropped table: ${table}`
+                });
             } catch (err) {
-                console.error(`Error dropping ${table}:`, err.message);
+                outputProgress({
+                    status: 'error',
+                    operation: 'Drop table error',
+                    message: `Error dropping table ${table}: ${err.message}`
+                });
                 throw err;
             }
         }
 
-        // Recreate all metrics tables from schema
-        const schemaSQL = fs.readFileSync(path.resolve(__dirname, '../db/metrics-schema.sql'), 'utf8');
-        await connection.query(schemaSQL);
-        console.log('All metrics tables recreated successfully');
+        // Verify all tables were dropped
+        const [afterDrop] = await connection.query(`
+            SELECT TABLE_NAME as name
+            FROM information_schema.tables 
+            WHERE TABLE_SCHEMA = DATABASE()
+            AND TABLE_NAME IN (?)
+        `, [METRICS_TABLES]);
+
+        if (afterDrop.length > 0) {
+            throw new Error(`Failed to drop all tables. Remaining tables: ${afterDrop.map(t => t.name).join(', ')}`);
+        }
+
+        // Read metrics schema
+        outputProgress({
+            operation: 'Reading schema',
+            message: 'Loading metrics schema file...'
+        });
+
+        const schemaPath = path.resolve(__dirname, '../db/metrics-schema.sql');
+        if (!fs.existsSync(schemaPath)) {
+            throw new Error(`Schema file not found at: ${schemaPath}`);
+        }
+
+        const schemaSQL = fs.readFileSync(schemaPath, 'utf8');
+        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 {
+                await connection.query(stmt);
+                
+                // Check for warnings
+                const [warnings] = await connection.query('SHOW WARNINGS');
+                if (warnings && warnings.length > 0) {
+                    outputProgress({
+                        status: 'warning',
+                        operation: 'SQL Warning',
+                        message: {
+                            statement: i + 1,
+                            warnings: warnings
+                        }
+                    });
+                }
+
+                // 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+)?`?(\w+)`?/i)?.[1];
+                    if (tableName) {
+                        const [checkCreate] = await connection.query(`
+                            SELECT TABLE_NAME as name, CREATE_TIME as created
+                            FROM information_schema.tables 
+                            WHERE TABLE_SCHEMA = DATABASE() 
+                            AND TABLE_NAME = ?
+                        `, [tableName]);
+                        
+                        if (checkCreate.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} at ${checkCreate[0].created}`
+                        });
+                    }
+                }
+                
+                outputProgress({
+                    operation: 'SQL Progress',
+                    message: {
+                        statement: i + 1,
+                        total: statements.length,
+                        preview: stmt.substring(0, 100) + (stmt.length > 100 ? '...' : '')
+                    }
+                });
+            } catch (sqlError) {
+                outputProgress({
+                    status: 'error',
+                    operation: 'SQL Error',
+                    message: {
+                        error: sqlError.message,
+                        sqlState: sqlError.sqlState,
+                        errno: sqlError.errno,
+                        statement: stmt,
+                        statementNumber: i + 1
+                    }
+                });
+                throw sqlError;
+            }
+        }
+
+        // Re-enable foreign key checks after all tables are created
+        await connection.query('SET FOREIGN_KEY_CHECKS = 1');
+
+        // Verify metrics tables were created
+        outputProgress({
+            operation: 'Verifying metrics tables',
+            message: 'Checking all metrics tables were created...'
+        });
+
+        const [metricsTablesResult] = await connection.query(`
+            SELECT 
+                TABLE_NAME as name, 
+                TABLE_ROWS as \`rows\`,
+                CREATE_TIME as created
+            FROM information_schema.tables 
+            WHERE TABLE_SCHEMA = DATABASE()
+            AND TABLE_NAME IN (?)
+        `, [METRICS_TABLES]);
+
+        outputProgress({
+            operation: 'Tables found',
+            message: `Found ${metricsTablesResult.length} tables: ${metricsTablesResult.map(t => 
+                `${t.name} (created: ${t.created})`
+            ).join(', ')}`
+        });
+
+        const existingMetricsTables = metricsTablesResult.map(t => t.name);
+        const missingMetricsTables = METRICS_TABLES.filter(t => !existingMetricsTables.includes(t));
+
+        if (missingMetricsTables.length > 0) {
+            // Do one final check of the actual tables
+            const [finalCheck] = await connection.query('SHOW TABLES');
+            outputProgress({
+                operation: 'Final table check',
+                message: `All database tables: ${finalCheck.map(t => Object.values(t)[0]).join(', ')}`
+            });
+            throw new Error(`Failed to create metrics tables: ${missingMetricsTables.join(', ')}`);
+        }
 
         await connection.commit();
-        console.log('All metrics tables reset successfully');
+        
+        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 (connection) {
             await connection.rollback();
+            // Make sure to re-enable foreign key checks even if there's an error
+            await connection.query('SET FOREIGN_KEY_CHECKS = 1').catch(() => {});
         }
-        console.error('Error resetting metrics:', error);
         throw error;
     } finally {
         if (connection) {
+            // One final attempt to ensure foreign key checks are enabled
+            await connection.query('SET FOREIGN_KEY_CHECKS = 1').catch(() => {});
             await connection.end();
         }
     }

inventory-server/scripts/scripts.js

@@ -0,0 +1,180 @@
+const readline = require('readline');
+
+const rl = readline.createInterface({
+  input: process.stdin,
+  output: process.stdout
+});
+
+const question = (query) => new Promise((resolve) => rl.question(query, resolve));
+
+async function loadScript(name) {
+  try {
+    return await require(name);
+  } catch (error) {
+    console.error(`Failed to load script ${name}:`, error);
+    return null;
+  }
+}
+
+async function runWithTimeout(fn) {
+  return new Promise((resolve, reject) => {
+    // Create a child process for the script
+    const child = require('child_process').fork(fn.toString(), [], {
+      stdio: 'inherit'
+    });
+
+    child.on('exit', (code) => {
+      if (code === 0) {
+        resolve();
+      } else {
+        reject(new Error(`Script exited with code ${code}`));
+      }
+    });
+
+    child.on('error', (err) => {
+      reject(err);
+    });
+  });
+}
+
+function clearScreen() {
+  process.stdout.write('\x1Bc');
+}
+
+const scripts = {
+  'Import Scripts': {
+    '1': { name: 'Full Import From Production', path: './import-from-prod' },
+    '2': { name: 'Individual Import Scripts ▸', submenu: {
+      '1': { name: 'Import Orders', path: './import/orders', key: 'importOrders' },
+      '2': { name: 'Import Products', path: './import/products', key: 'importProducts' },
+      '3': { name: 'Import Purchase Orders', path: './import/purchase-orders' },
+      '4': { name: 'Import Categories', path: './import/categories' },
+      'b': { name: 'Back to Main Menu' }
+    }}
+  },
+  'Metrics': {
+    '3': { name: 'Calculate All Metrics', path: './calculate-metrics' },
+    '4': { name: 'Individual Metric Scripts ▸', submenu: {
+      '1': { name: 'Brand Metrics', path: './metrics/brand-metrics' },
+      '2': { name: 'Category Metrics', path: './metrics/category-metrics' },
+      '3': { name: 'Financial Metrics', path: './metrics/financial-metrics' },
+      '4': { name: 'Product Metrics', path: './metrics/product-metrics' },
+      '5': { name: 'Sales Forecasts', path: './metrics/sales-forecasts' },
+      '6': { name: 'Time Aggregates', path: './metrics/time-aggregates' },
+      '7': { name: 'Vendor Metrics', path: './metrics/vendor-metrics' },
+      'b': { name: 'Back to Main Menu' }
+    }}
+  },
+  'Database Management': {
+    '5': { name: 'Test Production Connection', path: './test-prod-connection' }
+  },
+  'Reset Scripts': {
+    '6': { name: 'Reset Database', path: './reset-db' },
+    '7': { name: 'Reset Metrics', path: './reset-metrics' }
+  }
+};
+
+let lastRun = null;
+
+async function displayMenu(menuItems, title = 'Inventory Management Script Runner') {
+  clearScreen();
+  console.log(`\n${title}\n`);
+  
+  for (const [category, items] of Object.entries(menuItems)) {
+    console.log(`\n${category}:`);
+    Object.entries(items).forEach(([key, script]) => {
+      console.log(`${key}. ${script.name}`);
+    });
+  }
+
+  if (lastRun) {
+    console.log('\nQuick Access:');
+    console.log(`r. Repeat Last Script (${lastRun.name})`);
+  }
+  
+  console.log('\nq. Quit\n');
+}
+
+async function handleSubmenu(submenu, title) {
+  while (true) {
+    await displayMenu({"Individual Scripts": submenu}, title);
+    const choice = await question('Select an option (or b to go back): ');
+    
+    if (choice.toLowerCase() === 'b') {
+      return null;
+    }
+
+    if (submenu[choice]) {
+      return submenu[choice];
+    }
+
+    console.log('Invalid selection. Please try again.');
+    await new Promise(resolve => setTimeout(resolve, 1000));
+  }
+}
+
+async function runScript(script) {
+  console.log(`\nRunning: ${script.name}`);
+  try {
+    const scriptPath = require.resolve(script.path);
+    await runWithTimeout(scriptPath);
+    console.log('\nScript completed successfully');
+    lastRun = script;
+  } catch (error) {
+    console.error('\nError running script:', error);
+  }
+  await question('\nPress Enter to continue...');
+}
+
+async function main() {
+  while (true) {
+    await displayMenu(scripts);
+    
+    const choice = await question('Select an option: ');
+    
+    if (choice.toLowerCase() === 'q') {
+      break;
+    }
+
+    if (choice.toLowerCase() === 'r' && lastRun) {
+      await runScript(lastRun);
+      continue;
+    }
+
+    let selectedScript = null;
+    for (const category of Object.values(scripts)) {
+      if (category[choice]) {
+        selectedScript = category[choice];
+        break;
+      }
+    }
+
+    if (!selectedScript) {
+      console.log('Invalid selection. Please try again.');
+      await new Promise(resolve => setTimeout(resolve, 1000));
+      continue;
+    }
+
+    if (selectedScript.submenu) {
+      const submenuChoice = await handleSubmenu(
+        selectedScript.submenu,
+        selectedScript.name
+      );
+      if (submenuChoice && submenuChoice.path) {
+        await runScript(submenuChoice);
+      }
+    } else if (selectedScript.path) {
+      await runScript(selectedScript);
+    }
+  }
+
+  rl.close();
+  process.exit(0);
+}
+
+if (require.main === module) {
+  main().catch(error => {
+    console.error('Fatal error:', error);
+    process.exit(1);
+  });
+} 

inventory-server/scripts/update-csv.js

@@ -1,167 +0,0 @@
-const fs = require('fs');
-const path = require('path');
-const https = require('https');
-
-// Configuration
-const FILES = [
-  {
-    name: '39f2x83-products.csv',
-    url: 'https://feeds.acherryontop.com/39f2x83-products.csv'
-  },
-  {
-    name: '39f2x83-orders.csv',
-    url: 'https://feeds.acherryontop.com/39f2x83-orders.csv'
-  },
-  {
-    name: '39f2x83-purchase_orders.csv',
-    url: 'https://feeds.acherryontop.com/39f2x83-purchase_orders.csv'
-  }
-];
-
-const CSV_DIR = path.join(__dirname, '..', 'csv');
-
-// Ensure CSV directory exists
-if (!fs.existsSync(CSV_DIR)) {
-  fs.mkdirSync(CSV_DIR, { recursive: true });
-}
-
-// Function to download a file
-function downloadFile(url, filePath) {
-  return new Promise((resolve, reject) => {
-    const file = fs.createWriteStream(filePath);
-    
-    https.get(url, response => {
-      if (response.statusCode !== 200) {
-        reject(new Error(`Failed to download: ${response.statusCode} ${response.statusMessage}`));
-        return;
-      }
-
-      const totalSize = parseInt(response.headers['content-length'], 10);
-      let downloadedSize = 0;
-      let lastProgressUpdate = Date.now();
-      const startTime = Date.now();
-
-      response.on('data', chunk => {
-        downloadedSize += chunk.length;
-        const now = Date.now();
-        // Update progress at most every 100ms to avoid console flooding
-        if (now - lastProgressUpdate > 100) {
-          const elapsed = (now - startTime) / 1000;
-          const rate = downloadedSize / elapsed;
-          const remaining = (totalSize - downloadedSize) / rate;
-          
-          console.log(JSON.stringify({
-            status: 'running',
-            operation: `Downloading ${path.basename(filePath)}`,
-            current: downloadedSize,
-            total: totalSize,
-            rate: (rate / 1024 / 1024).toFixed(2), // MB/s
-            elapsed: formatDuration(elapsed),
-            remaining: formatDuration(remaining),
-            percentage: ((downloadedSize / totalSize) * 100).toFixed(1)
-          }));
-          lastProgressUpdate = now;
-        }
-      });
-
-      response.pipe(file);
-
-      file.on('finish', () => {
-        console.log(JSON.stringify({
-          status: 'running',
-          operation: `Completed ${path.basename(filePath)}`,
-          current: totalSize,
-          total: totalSize,
-          percentage: '100'
-        }));
-        file.close();
-        resolve();
-      });
-    }).on('error', error => {
-      fs.unlink(filePath, () => {}); // Delete the file if download failed
-      reject(error);
-    });
-
-    file.on('error', error => {
-      fs.unlink(filePath, () => {}); // Delete the file if there was an error
-      reject(error);
-    });
-  });
-}
-
-// Helper function to format duration
-function formatDuration(seconds) {
-  if (seconds < 60) return `${Math.round(seconds)}s`;
-  const minutes = Math.floor(seconds / 60);
-  seconds = Math.round(seconds % 60);
-  return `${minutes}m ${seconds}s`;
-}
-
-// Main function to update all files
-async function updateFiles() {
-  console.log(JSON.stringify({
-    status: 'running',
-    operation: 'Starting CSV file updates',
-    total: FILES.length,
-    current: 0
-  }));
-
-  for (let i = 0; i < FILES.length; i++) {
-    const file = FILES[i];
-    const filePath = path.join(CSV_DIR, file.name);
-    
-    try {
-      // Delete existing file if it exists
-      if (fs.existsSync(filePath)) {
-        console.log(JSON.stringify({
-          status: 'running',
-          operation: `Removing existing file: ${file.name}`,
-          current: i,
-          total: FILES.length,
-          percentage: ((i / FILES.length) * 100).toFixed(1)
-        }));
-        fs.unlinkSync(filePath);
-      }
-
-      // Download new file
-      console.log(JSON.stringify({
-        status: 'running',
-        operation: `Starting download: ${file.name}`,
-        current: i,
-        total: FILES.length,
-        percentage: ((i / FILES.length) * 100).toFixed(1)
-      }));
-      await downloadFile(file.url, filePath);
-      console.log(JSON.stringify({
-        status: 'running',
-        operation: `Successfully updated ${file.name}`,
-        current: i + 1,
-        total: FILES.length,
-        percentage: (((i + 1) / FILES.length) * 100).toFixed(1)
-      }));
-    } catch (error) {
-      console.error(JSON.stringify({
-        status: 'error',
-        operation: `Error updating ${file.name}`,
-        error: error.message
-      }));
-      throw error;
-    }
-  }
-
-  console.log(JSON.stringify({
-    status: 'complete',
-    operation: 'CSV file update complete',
-    current: FILES.length,
-    total: FILES.length,
-    percentage: '100'
-  }));
-}
-
-// Run the update
-updateFiles().catch(error => {
-  console.error(JSON.stringify({
-    error: `Update failed: ${error.message}`
-  }));
-  process.exit(1);
-}); 

inventory-server/src/routes/analytics.js

@@ -36,7 +36,7 @@ router.get('/stats', async (req, res) => {
           0
         ) as averageOrderValue
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
+      LEFT JOIN orders o ON p.pid = o.pid
       WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
     `);
 
@@ -62,22 +62,43 @@ router.get('/profit', async (req, res) => {
   try {
     const pool = req.app.locals.pool;
     
-    // Get profit margins by category
+    // Get profit margins by category with full path
     const [byCategory] = 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
+      )
       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, 1
         ) as profitMargin,
-        SUM(o.price * o.quantity) as revenue,
-        SUM(p.cost_price * o.quantity) as cost
+        CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
+        CAST(SUM(p.cost_price * o.quantity) AS DECIMAL(15,3)) as cost
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
-      JOIN product_categories pc ON p.product_id = pc.product_id
-      JOIN categories c ON pc.category_id = c.id
+      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 >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
-      GROUP BY c.name
+      GROUP BY c.name, cp.path
       ORDER BY profitMargin DESC
       LIMIT 10
     `);
@@ -90,10 +111,10 @@ router.get('/profit', async (req, res) => {
           (SUM(o.price * o.quantity - p.cost_price * o.quantity) / 
            NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
         ) as profitMargin,
-        SUM(o.price * o.quantity) as revenue,
-        SUM(p.cost_price * o.quantity) as cost
+        CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
+        CAST(SUM(p.cost_price * o.quantity) AS DECIMAL(15,3)) as cost
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
+      LEFT JOIN orders o ON p.pid = o.pid
       CROSS JOIN (
         SELECT DATE_FORMAT(o.date, '%Y-%m-%d') as formatted_date
         FROM orders o
@@ -106,20 +127,44 @@ router.get('/profit', async (req, res) => {
       ORDER BY formatted_date
     `);
 
-    // Get top performing products
+    // Get top performing products with category paths
     const [topProducts] = 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
+      )
       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, 1
         ) as profitMargin,
-        SUM(o.price * o.quantity) as revenue,
-        SUM(p.cost_price * o.quantity) as cost
+        CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
+        CAST(SUM(p.cost_price * o.quantity) AS DECIMAL(15,3)) as cost
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
+      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 >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
-      GROUP BY p.product_id, p.title
+      GROUP BY p.pid, p.title, c.name, cp.path
       HAVING revenue > 0
       ORDER BY profitMargin DESC
       LIMIT 10
@@ -144,7 +189,7 @@ router.get('/vendors', async (req, res) => {
       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.product_id = o.product_id
+      LEFT JOIN orders o ON p.pid = o.pid
       WHERE p.vendor IS NOT NULL
     `);
     
@@ -155,26 +200,26 @@ router.get('/vendors', async (req, res) => {
       WITH monthly_sales AS (
         SELECT 
           p.vendor,
-          SUM(CASE 
+          CAST(SUM(CASE 
             WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) 
             THEN o.price * o.quantity 
             ELSE 0 
-          END) as current_month,
-          SUM(CASE 
+          END) AS DECIMAL(15,3)) as current_month,
+          CAST(SUM(CASE 
             WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY) 
             AND o.date < DATE_SUB(CURDATE(), INTERVAL 30 DAY)
             THEN o.price * o.quantity 
             ELSE 0 
-          END) as previous_month
+          END) AS DECIMAL(15,3)) as previous_month
         FROM products p
-        LEFT JOIN orders o ON p.product_id = o.product_id
+        LEFT JOIN orders o ON p.pid = o.pid
         WHERE p.vendor IS NOT NULL
           AND o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
         GROUP BY p.vendor
       )
       SELECT 
         p.vendor,
-        SUM(o.price * o.quantity) as salesVolume,
+        CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as salesVolume,
         COALESCE(ROUND(
           (SUM(o.price * o.quantity - p.cost_price * o.quantity) / 
            NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
@@ -182,13 +227,13 @@ router.get('/vendors', async (req, res) => {
         COALESCE(ROUND(
           SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0), 1
         ), 0) as stockTurnover,
-        COUNT(DISTINCT p.product_id) as productCount,
+        COUNT(DISTINCT p.pid) as productCount,
         ROUND(
           ((ms.current_month / NULLIF(ms.previous_month, 0)) - 1) * 100,
           1
         ) as growth
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
+      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 >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
@@ -203,11 +248,11 @@ router.get('/vendors', async (req, res) => {
     const [comparison] = await pool.query(`
       SELECT 
         p.vendor,
-        COALESCE(ROUND(SUM(o.price * o.quantity) / NULLIF(COUNT(DISTINCT p.product_id), 0), 2), 0) as salesPerProduct,
+        CAST(COALESCE(ROUND(SUM(o.price * o.quantity) / NULLIF(COUNT(DISTINCT p.pid), 0), 2), 0) AS DECIMAL(15,3)) as salesPerProduct,
         COALESCE(ROUND(AVG((o.price - p.cost_price) / NULLIF(o.price, 0) * 100), 1), 0) as averageMargin,
-        COUNT(DISTINCT p.product_id) as size
+        COUNT(DISTINCT p.pid) as size
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id AND o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
+      LEFT JOIN orders o ON p.pid = o.pid AND o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
       WHERE p.vendor IS NOT NULL
       GROUP BY p.vendor
       ORDER BY salesPerProduct DESC
@@ -221,9 +266,9 @@ router.get('/vendors', async (req, res) => {
       SELECT 
         p.vendor,
         DATE_FORMAT(o.date, '%b %Y') as month,
-        COALESCE(SUM(o.price * o.quantity), 0) as sales
+        CAST(COALESCE(SUM(o.price * o.quantity), 0) AS DECIMAL(15,3)) as sales
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
+      LEFT JOIN orders o ON p.pid = o.pid
       WHERE p.vendor IS NOT NULL
         AND o.date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH)
       GROUP BY 
@@ -272,9 +317,9 @@ router.get('/stock', async (req, res) => {
         ROUND(AVG(p.stock_quantity), 0) as averageStock,
         SUM(o.quantity) as totalSales
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
-      JOIN product_categories pc ON p.product_id = pc.product_id
-      JOIN categories c ON pc.category_id = c.id
+      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 >= DATE_SUB(CURDATE(), INTERVAL ? DAY)
       GROUP BY c.name
       HAVING turnoverRate > 0
@@ -290,7 +335,7 @@ router.get('/stock', async (req, res) => {
         SUM(CASE WHEN p.stock_quantity <= ? 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.product_id = o.product_id
+      LEFT JOIN orders o ON p.pid = o.pid
       WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY)
       GROUP BY DATE_FORMAT(o.date, '%Y-%m-%d')
       ORDER BY date
@@ -304,26 +349,14 @@ router.get('/stock', async (req, res) => {
     const [criticalItems] = await pool.query(`
       WITH product_thresholds AS (
         SELECT 
-          p.product_id,
+          p.pid,
           COALESCE(
             (SELECT reorder_days 
              FROM stock_thresholds st 
-             JOIN product_categories pc ON st.category_id = pc.category_id
-             WHERE pc.product_id = p.product_id 
-             AND st.vendor = p.vendor LIMIT 1),
+             WHERE st.vendor = p.vendor LIMIT 1),
             (SELECT reorder_days 
              FROM stock_thresholds st 
-             JOIN product_categories pc ON st.category_id = pc.category_id
-             WHERE pc.product_id = p.product_id 
-             AND st.vendor IS NULL LIMIT 1),
-            (SELECT reorder_days 
-             FROM stock_thresholds st 
-             WHERE st.category_id IS NULL 
-             AND st.vendor = p.vendor LIMIT 1),
-            (SELECT reorder_days 
-             FROM stock_thresholds st 
-             WHERE st.category_id IS NULL 
-             AND st.vendor IS NULL LIMIT 1),
+             WHERE st.vendor IS NULL LIMIT 1),
             14
           ) as reorder_days
         FROM products p
@@ -339,11 +372,11 @@ router.get('/stock', async (req, res) => {
           ELSE ROUND(p.stock_quantity / NULLIF((SUM(o.quantity) / ?), 0))
         END as daysUntilStockout
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
-      JOIN product_thresholds pt ON p.product_id = pt.product_id
+      LEFT JOIN orders o ON p.pid = o.pid
+      JOIN product_thresholds pt ON p.pid = pt.pid
       WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY)
         AND p.managing_stock = true
-      GROUP BY p.product_id
+      GROUP BY p.pid
       HAVING daysUntilStockout < ? AND daysUntilStockout >= 0
       ORDER BY daysUntilStockout
       LIMIT 10
@@ -369,14 +402,16 @@ router.get('/pricing', async (req, res) => {
     // Get price points analysis
     const [pricePoints] = await pool.query(`
       SELECT 
-        p.price,
-        SUM(o.quantity) as salesVolume,
-        SUM(o.price * o.quantity) as revenue,
-        p.categories as category
+        CAST(p.price AS DECIMAL(15,3)) as price,
+        CAST(SUM(o.quantity) AS DECIMAL(15,3)) as salesVolume,
+        CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
+        c.name as category
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
+      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 >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
-      GROUP BY p.price, p.categories
+      GROUP BY p.price, c.name
       HAVING salesVolume > 0
       ORDER BY revenue DESC
       LIMIT 50
@@ -386,8 +421,8 @@ router.get('/pricing', async (req, res) => {
     const [elasticity] = await pool.query(`
       SELECT 
         DATE_FORMAT(o.date, '%Y-%m-%d') as date,
-        AVG(o.price) as price,
-        SUM(o.quantity) as demand
+        CAST(AVG(o.price) AS DECIMAL(15,3)) as price,
+        CAST(SUM(o.quantity) AS DECIMAL(15,3)) as demand
       FROM orders o
       WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
       GROUP BY DATE_FORMAT(o.date, '%Y-%m-%d')
@@ -398,21 +433,25 @@ router.get('/pricing', async (req, res) => {
     const [recommendations] = await pool.query(`
       SELECT 
         p.title as product,
-        p.price as currentPrice,
-        ROUND(
-          CASE 
-            WHEN AVG(o.quantity) > 10 THEN p.price * 1.1
-            WHEN AVG(o.quantity) < 2 THEN p.price * 0.9
-            ELSE p.price
-          END, 2
+        CAST(p.price AS DECIMAL(15,3)) as currentPrice,
+        CAST(
+          ROUND(
+            CASE 
+              WHEN AVG(o.quantity) > 10 THEN p.price * 1.1
+              WHEN AVG(o.quantity) < 2 THEN p.price * 0.9
+              ELSE p.price
+            END, 2
+          ) AS DECIMAL(15,3)
         ) as recommendedPrice,
-        ROUND(
-          SUM(o.price * o.quantity) * 
-          CASE 
-            WHEN AVG(o.quantity) > 10 THEN 1.15
-            WHEN AVG(o.quantity) < 2 THEN 0.95
-            ELSE 1
-          END, 2
+        CAST(
+          ROUND(
+            SUM(o.price * o.quantity) * 
+            CASE 
+              WHEN AVG(o.quantity) > 10 THEN 1.15
+              WHEN AVG(o.quantity) < 2 THEN 0.95
+              ELSE 1
+            END, 2
+          ) AS DECIMAL(15,3)
         ) as potentialRevenue,
         CASE 
           WHEN AVG(o.quantity) > 10 THEN 85
@@ -420,11 +459,11 @@ router.get('/pricing', async (req, res) => {
           ELSE 65
         END as confidence
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
+      LEFT JOIN orders o ON p.pid = o.pid
       WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
-      GROUP BY p.product_id
+      GROUP BY p.pid, p.price
       HAVING ABS(recommendedPrice - currentPrice) > 0
-      ORDER BY potentialRevenue - SUM(o.price * o.quantity) DESC
+      ORDER BY potentialRevenue - CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) DESC
       LIMIT 10
     `);
 
@@ -440,11 +479,36 @@ router.get('/categories', async (req, res) => {
   try {
     const pool = req.app.locals.pool;
     
-    // Get category performance metrics
+    // Common CTE for category paths
+    const categoryPathCTE = `
+      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
+      )
+    `;
+    
+    // Get category performance metrics with full path
     const [performance] = await pool.query(`
-      WITH monthly_sales AS (
+      ${categoryPathCTE},
+      monthly_sales AS (
         SELECT 
           c.name,
+          cp.path,
           SUM(CASE 
             WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) 
             THEN o.price * o.quantity 
@@ -457,62 +521,72 @@ router.get('/categories', async (req, res) => {
             ELSE 0 
           END) as previous_month
         FROM products p
-        LEFT JOIN orders o ON p.product_id = o.product_id
-        JOIN product_categories pc ON p.product_id = pc.product_id
-        JOIN categories c ON pc.category_id = c.id
+        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 >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
-        GROUP BY c.name
+        GROUP BY c.name, cp.path
       )
       SELECT 
         c.name as category,
+        cp.path as categoryPath,
         SUM(o.price * o.quantity) as revenue,
         SUM(o.price * o.quantity - p.cost_price * o.quantity) as profit,
         ROUND(
           ((ms.current_month / NULLIF(ms.previous_month, 0)) - 1) * 100,
           1
         ) as growth,
-        COUNT(DISTINCT p.product_id) as productCount
+        COUNT(DISTINCT p.pid) as productCount
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
-      JOIN product_categories pc ON p.product_id = pc.product_id
-      JOIN categories c ON pc.category_id = c.id
-      LEFT JOIN monthly_sales ms ON c.name = ms.name
+      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
+      LEFT JOIN monthly_sales ms ON c.name = ms.name AND cp.path = ms.path
       WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
-      GROUP BY c.name, ms.current_month, ms.previous_month
+      GROUP BY c.name, cp.path, ms.current_month, ms.previous_month
       HAVING revenue > 0
       ORDER BY revenue DESC
       LIMIT 10
     `);
 
-    // Get category revenue distribution
+    // Get category revenue distribution with full path
     const [distribution] = await pool.query(`
+      ${categoryPathCTE}
       SELECT 
         c.name as category,
+        cp.path as categoryPath,
         SUM(o.price * o.quantity) as value
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
-      JOIN product_categories pc ON p.product_id = pc.product_id
-      JOIN categories c ON pc.category_id = c.id
+      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 >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
-      GROUP BY c.name
+      GROUP BY c.name, cp.path
       HAVING value > 0
       ORDER BY value DESC
       LIMIT 6
     `);
 
-    // Get category sales trends
+    // Get category sales trends with full path
     const [trends] = await pool.query(`
+      ${categoryPathCTE}
       SELECT 
         c.name as category,
+        cp.path as categoryPath,
         DATE_FORMAT(o.date, '%b %Y') as month,
         SUM(o.price * o.quantity) as sales
       FROM products p
-      LEFT JOIN orders o ON p.product_id = o.product_id
-      JOIN product_categories pc ON p.product_id = pc.product_id
-      JOIN categories c ON pc.category_id = c.id
+      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 >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH)
       GROUP BY 
         c.name,
+        cp.path,
         DATE_FORMAT(o.date, '%b %Y'),
         DATE_FORMAT(o.date, '%Y-%m')
       ORDER BY 
@@ -529,76 +603,97 @@ 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;
+  try {
+    const { brand, startDate, endDate } = req.query;
+    const pool = req.app.locals.pool;
 
-        const [results] = await pool.query(`
-            WITH category_metrics AS (
-                SELECT 
-                    c.id as category_id,
-                    c.name as category_name,
-                    p.brand,
-                    COUNT(DISTINCT p.product_id) as num_products,
-                    COALESCE(ROUND(SUM(o.quantity) / DATEDIFF(?, ?), 2), 0) as avg_daily_sales,
-                    COALESCE(SUM(o.quantity), 0) as total_sold,
-                    COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.product_id), 2), 0) as avgTotalSold,
-                    COALESCE(ROUND(AVG(o.price), 2), 0) as avg_price
-                FROM categories c
-                JOIN product_categories pc ON c.id = pc.category_id
-                JOIN products p ON pc.product_id = p.product_id
-                LEFT JOIN product_metrics pm ON p.product_id = pm.product_id
-                LEFT JOIN orders o ON p.product_id = o.product_id 
-                    AND o.date BETWEEN ? AND ?
-                    AND o.canceled = false
-                WHERE p.brand = ?
-                    AND pm.first_received_date BETWEEN ? AND ?
-                GROUP BY c.id, c.name, p.brand
-            ),
-            product_metrics AS (
-                SELECT 
-                    p.product_id,
-                    p.title,
-                    p.sku,
-                    p.stock_quantity,
-                    pc.category_id,
-                    pm.first_received_date,
-                    COALESCE(SUM(o.quantity), 0) as total_sold,
-                    COALESCE(ROUND(AVG(o.price), 2), 0) as avg_price
-                FROM products p
-                JOIN product_categories pc ON p.product_id = pc.product_id
-                JOIN product_metrics pm ON p.product_id = pm.product_id
-                LEFT JOIN orders o ON p.product_id = o.product_id 
-                    AND o.date BETWEEN ? AND ?
-                    AND o.canceled = false
-                WHERE p.brand = ?
-                    AND pm.first_received_date BETWEEN ? AND ?
-                GROUP BY p.product_id, p.title, p.sku, p.stock_quantity, pc.category_id, pm.first_received_date
-            )
-            SELECT 
-                cm.*,
-                JSON_ARRAYAGG(
-                    JSON_OBJECT(
-                        'product_id', pm.product_id,
-                        'title', pm.title,
-                        'sku', pm.sku,
-                        'stock_quantity', pm.stock_quantity,
-                        'total_sold', pm.total_sold,
-                        'avg_price', pm.avg_price,
-                        'first_received_date', DATE_FORMAT(pm.first_received_date, '%Y-%m-%d')
-                    )
-                ) as products
-            FROM category_metrics cm
-            JOIN product_metrics pm ON cm.category_id = pm.category_id
-            GROUP BY cm.category_id, cm.category_name, cm.brand, cm.num_products, cm.avg_daily_sales, cm.total_sold, cm.avgTotalSold, cm.avg_price
-            ORDER BY cm.total_sold DESC
-        `, [startDate, endDate, startDate, endDate, brand, startDate, endDate, startDate, endDate, brand, startDate, endDate]);
+    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' });
-    }
+    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/categories.js

@@ -5,62 +5,90 @@ const router = express.Router();
 router.get('/', async (req, res) => {
   const pool = req.app.locals.pool;
   try {
-    // Get parent categories for filter dropdown
-    const [parentCategories] = await pool.query(`
-      SELECT DISTINCT c2.name as parent_name
-      FROM categories c1
-      JOIN categories c2 ON c1.parent_id = c2.id
-      WHERE c1.parent_id IS NOT NULL
-      ORDER BY c2.name
-    `);
-
-    // Get all categories with metrics
+    // Get all categories with metrics and hierarchy info
     const [categories] = await pool.query(`
       SELECT 
-        c.id as category_id,
+        c.cat_id,
         c.name,
+        c.type,
+        c.parent_id,
         c.description,
-        COALESCE(p.name, '') as parent_name,
-        cm.product_count,
-        cm.total_value,
-        cm.avg_margin,
-        cm.turnover_rate,
-        cm.growth_rate,
-        cm.status
+        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,
+        CAST(COALESCE(cm.total_value, 0) AS DECIMAL(15,3)) 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.id
-      LEFT JOIN category_metrics cm ON c.id = cm.category_id
-      ORDER BY c.name ASC
+      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 [stats] = await pool.query(`
       SELECT 
-        COUNT(DISTINCT c.id) as totalCategories,
-        COUNT(DISTINCT CASE WHEN cm.status = 'active' THEN c.id END) as activeCategories,
-        COALESCE(SUM(cm.total_value), 0) as totalValue,
+        COUNT(DISTINCT c.cat_id) as totalCategories,
+        COUNT(DISTINCT CASE WHEN c.status = 'active' THEN c.cat_id END) as activeCategories,
+        CAST(COALESCE(SUM(cm.total_value), 0) AS DECIMAL(15,3)) as totalValue,
         COALESCE(ROUND(AVG(NULLIF(cm.avg_margin, 0)), 1), 0) as avgMargin,
         COALESCE(ROUND(AVG(NULLIF(cm.growth_rate, 0)), 1), 0) as avgGrowth
       FROM categories c
-      LEFT JOIN category_metrics cm ON c.id = cm.category_id
+      LEFT JOIN category_metrics cm ON c.cat_id = cm.category_id
+    `);
+
+    // Get type counts for filtering
+    const [typeCounts] = await pool.query(`
+      SELECT 
+        type,
+        COUNT(*) as count
+      FROM categories
+      GROUP BY type
+      ORDER BY type
     `);
 
     res.json({
       categories: categories.map(cat => ({
-        ...cat,
-        parent_category: cat.parent_name, // Map parent_name to parent_category for frontend compatibility
-        product_count: parseInt(cat.product_count || 0),
-        total_value: parseFloat(cat.total_value || 0),
-        avg_margin: parseFloat(cat.avg_margin || 0),
-        turnover_rate: parseFloat(cat.turnover_rate || 0),
-        growth_rate: parseFloat(cat.growth_rate || 0)
+        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: parseInt(tc.count)
       })),
-      parentCategories: parentCategories.map(p => p.parent_name),
       stats: {
-        ...stats[0],
-        totalValue: parseFloat(stats[0].totalValue || 0),
-        avgMargin: parseFloat(stats[0].avgMargin || 0),
-        avgGrowth: parseFloat(stats[0].avgGrowth || 0)
+        totalCategories: parseInt(stats[0].totalCategories),
+        activeCategories: parseInt(stats[0].activeCategories),
+        totalValue: parseFloat(stats[0].totalValue),
+        avgMargin: parseFloat(stats[0].avgMargin),
+        avgGrowth: parseFloat(stats[0].avgGrowth)
       }
     });
   } catch (error) {

inventory-server/src/routes/dashboard.js

@@ -2,6 +2,9 @@ const express = require('express');
 const router = express.Router();
 const db = require('../utils/db');
 
+// Import status codes
+const { ReceivingStatus } = require('../types/status-codes');
+
 // Helper function to execute queries using the connection pool
 async function executeQuery(sql, params = []) {
     const pool = db.getPool();
@@ -38,15 +41,14 @@ router.get('/stock/metrics', async (req, res) => {
         const [brandValues] = await executeQuery(`
             WITH brand_totals AS (
                 SELECT 
-                    brand,
-                    COUNT(DISTINCT product_id) as variant_count,
+                    COALESCE(brand, 'Unbranded') as brand,
+                    COUNT(DISTINCT pid) as variant_count,
                     COALESCE(SUM(stock_quantity), 0) as stock_units,
-                    COALESCE(SUM(stock_quantity * cost_price), 0) as stock_cost,
-                    COALESCE(SUM(stock_quantity * price), 0) as stock_retail
+                    CAST(COALESCE(SUM(stock_quantity * cost_price), 0) AS DECIMAL(15,3)) as stock_cost,
+                    CAST(COALESCE(SUM(stock_quantity * price), 0) AS DECIMAL(15,3)) as stock_retail
                 FROM products
-                WHERE brand IS NOT NULL
-                    AND stock_quantity > 0
-                GROUP BY brand
+                WHERE stock_quantity > 0
+                GROUP BY COALESCE(brand, 'Unbranded')
                 HAVING stock_cost > 0
             ),
             other_brands AS (
@@ -54,8 +56,8 @@ router.get('/stock/metrics', async (req, res) => {
                     'Other' as brand,
                     SUM(variant_count) as variant_count,
                     SUM(stock_units) as stock_units,
-                    SUM(stock_cost) as stock_cost,
-                    SUM(stock_retail) as stock_retail
+                    CAST(SUM(stock_cost) AS DECIMAL(15,3)) as stock_cost,
+                    CAST(SUM(stock_retail) AS DECIMAL(15,3)) as stock_retail
                 FROM brand_totals
                 WHERE stock_cost <= 5000
             ),
@@ -101,49 +103,51 @@ router.get('/purchase/metrics', async (req, res) => {
     try {
         const [rows] = await executeQuery(`
             SELECT 
-                COALESCE(COUNT(DISTINCT CASE WHEN po.status = 'open' THEN po.po_id END), 0) as active_pos,
                 COALESCE(COUNT(DISTINCT CASE 
-                    WHEN po.status = 'open' AND po.expected_date < CURDATE() 
+                    WHEN po.receiving_status < ${ReceivingStatus.PartialReceived} 
+                    THEN po.po_id 
+                END), 0) as active_pos,
+                COALESCE(COUNT(DISTINCT CASE 
+                    WHEN po.receiving_status < ${ReceivingStatus.PartialReceived} 
+                    AND po.expected_date < CURDATE() 
                     THEN po.po_id 
                 END), 0) as overdue_pos,
-                COALESCE(SUM(CASE WHEN po.status = 'open' THEN po.ordered ELSE 0 END), 0) as total_units,
                 COALESCE(SUM(CASE 
-                    WHEN po.status = 'open' 
+                    WHEN po.receiving_status < ${ReceivingStatus.PartialReceived} 
+                    THEN po.ordered 
+                    ELSE 0 
+                END), 0) as total_units,
+                CAST(COALESCE(SUM(CASE 
+                    WHEN po.receiving_status < ${ReceivingStatus.PartialReceived} 
                     THEN po.ordered * po.cost_price 
                     ELSE 0 
-                END), 0) as total_cost,
-                COALESCE(SUM(CASE 
-                    WHEN po.status = 'open' 
+                END), 0) AS DECIMAL(15,3)) as total_cost,
+                CAST(COALESCE(SUM(CASE 
+                    WHEN po.receiving_status < ${ReceivingStatus.PartialReceived} 
                     THEN po.ordered * p.price 
                     ELSE 0 
-                END), 0) as total_retail
+                END), 0) AS DECIMAL(15,3)) as total_retail
             FROM purchase_orders po
-            JOIN products p ON po.product_id = p.product_id
+            JOIN products p ON po.pid = p.pid
         `);
         const poMetrics = rows[0];
 
-        console.log('Raw poMetrics from database:', poMetrics);
-        console.log('poMetrics.active_pos:', poMetrics.active_pos);
-        console.log('poMetrics.overdue_pos:', poMetrics.overdue_pos);
-        console.log('poMetrics.total_units:', poMetrics.total_units);
-        console.log('poMetrics.total_cost:', poMetrics.total_cost);
-        console.log('poMetrics.total_retail:', poMetrics.total_retail);
-
         const [vendorOrders] = await executeQuery(`
             SELECT 
                 po.vendor,
-                COUNT(DISTINCT po.po_id) as order_count,
-                COALESCE(SUM(po.ordered), 0) as ordered_units,
-                COALESCE(SUM(po.ordered * po.cost_price), 0) as order_cost,
-                COALESCE(SUM(po.ordered * p.price), 0) as order_retail
+                COUNT(DISTINCT po.po_id) as orders,
+                COALESCE(SUM(po.ordered), 0) as units,
+                CAST(COALESCE(SUM(po.ordered * po.cost_price), 0) AS DECIMAL(15,3)) as cost,
+                CAST(COALESCE(SUM(po.ordered * p.price), 0) AS DECIMAL(15,3)) as retail
             FROM purchase_orders po
-            JOIN products p ON po.product_id = p.product_id
-            WHERE po.status = 'open'
+            JOIN products p ON po.pid = p.pid
+            WHERE po.receiving_status < ${ReceivingStatus.PartialReceived}
             GROUP BY po.vendor
-            HAVING order_cost > 0
-            ORDER BY order_cost DESC
+            HAVING cost > 0
+            ORDER BY cost DESC
         `);
 
+        // Format response to match PurchaseMetricsData interface
         const response = {
             activePurchaseOrders: parseInt(poMetrics.active_pos) || 0,
             overduePurchaseOrders: parseInt(poMetrics.overdue_pos) || 0,
@@ -152,10 +156,10 @@ router.get('/purchase/metrics', async (req, res) => {
             onOrderRetail: parseFloat(poMetrics.total_retail) || 0,
             vendorOrders: vendorOrders.map(v => ({
                 vendor: v.vendor,
-                orders: parseInt(v.order_count) || 0,
-                units: parseInt(v.ordered_units) || 0,
-                cost: parseFloat(v.order_cost) || 0,
-                retail: parseFloat(v.order_retail) || 0
+                orders: parseInt(v.orders) || 0,
+                units: parseInt(v.units) || 0,
+                cost: parseFloat(v.cost) || 0,
+                retail: parseFloat(v.retail) || 0
             }))
         };
 
@@ -173,21 +177,21 @@ router.get('/replenishment/metrics', async (req, res) => {
         // Get summary metrics
         const [metrics] = await executeQuery(`
             SELECT 
-                COUNT(DISTINCT p.product_id) as products_to_replenish,
+                COUNT(DISTINCT p.pid) 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) as total_units_needed,
-                COALESCE(SUM(CASE 
+                CAST(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) as total_cost,
-                COALESCE(SUM(CASE 
+                END), 0) AS DECIMAL(15,3)) as total_cost,
+                CAST(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) as total_retail
+                END), 0) AS DECIMAL(15,3)) as total_retail
             FROM products p
-            JOIN product_metrics pm ON p.product_id = pm.product_id
+            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)
@@ -197,24 +201,24 @@ router.get('/replenishment/metrics', async (req, res) => {
         // Get top variants to replenish
         const [variants] = await executeQuery(`
             SELECT 
-                p.product_id,
+                p.pid,
                 p.title,
                 p.stock_quantity as current_stock,
                 CASE 
                     WHEN p.stock_quantity < 0 THEN ABS(p.stock_quantity) + pm.reorder_qty
                     ELSE pm.reorder_qty 
                 END as replenish_qty,
-                CASE 
+                CAST(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 as replenish_cost,
-                CASE 
+                END AS DECIMAL(15,3)) as replenish_cost,
+                CAST(CASE 
                     WHEN p.stock_quantity < 0 THEN (ABS(p.stock_quantity) + pm.reorder_qty) * p.price
                     ELSE pm.reorder_qty * p.price 
-                END as replenish_retail,
+                END AS DECIMAL(15,3)) as replenish_retail,
                 pm.stock_status
             FROM products p
-            JOIN product_metrics pm ON p.product_id = pm.product_id
+            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)
@@ -235,7 +239,7 @@ router.get('/replenishment/metrics', async (req, res) => {
             replenishmentCost: parseFloat(metrics[0].total_cost) || 0,
             replenishmentRetail: parseFloat(metrics[0].total_retail) || 0,
             topVariants: variants.map(v => ({
-                id: v.product_id,
+                id: v.pid,
                 title: v.title,
                 currentStock: parseInt(v.current_stock) || 0,
                 replenishQty: parseInt(v.replenish_qty) || 0,
@@ -287,9 +291,9 @@ router.get('/forecast/metrics', async (req, res) => {
                 COALESCE(SUM(cf.forecast_revenue), 0) as revenue,
                 COALESCE(AVG(cf.confidence_level), 0) as confidence
             FROM category_forecasts cf
-            JOIN categories c ON cf.category_id = c.id
+            JOIN categories c ON cf.category_id = c.cat_id
             WHERE cf.forecast_date BETWEEN ? AND ?
-            GROUP BY c.id, c.name
+            GROUP BY c.cat_id, c.name
             ORDER BY revenue DESC
         `, [startDate, endDate]);
 
@@ -325,11 +329,11 @@ router.get('/overstock/metrics', async (req, res) => {
         const [rows] = await executeQuery(`
             WITH category_overstock AS (
                 SELECT 
-                    c.id as category_id,
+                    c.cat_id,
                     c.name as category_name,
                     COUNT(DISTINCT CASE 
                         WHEN pm.stock_status = 'Overstocked' 
-                        THEN p.product_id 
+                        THEN p.pid 
                         END) as overstocked_products,
                     SUM(CASE 
                         WHEN pm.stock_status = 'Overstocked' 
@@ -347,10 +351,10 @@ router.get('/overstock/metrics', async (req, res) => {
                         ELSE 0 
                         END) as total_excess_retail
                 FROM categories c
-                JOIN product_categories pc ON c.id = pc.category_id
-                JOIN products p ON pc.product_id = p.product_id
-                JOIN product_metrics pm ON p.product_id = pm.product_id
-                GROUP BY c.id, c.name
+                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
             )
             SELECT 
                 SUM(overstocked_products) as total_overstocked,
@@ -405,7 +409,7 @@ router.get('/overstock/products', async (req, res) => {
     try {
         const [rows] = await executeQuery(`
             SELECT 
-                p.product_id,
+                p.pid,
                 p.SKU,
                 p.title,
                 p.brand,
@@ -420,11 +424,11 @@ router.get('/overstock/products', async (req, res) => {
                 (pm.overstocked_amt * p.price) as excess_retail,
                 GROUP_CONCAT(c.name) as categories
             FROM products p
-            JOIN product_metrics pm ON p.product_id = pm.product_id
-            LEFT JOIN product_categories pc ON p.product_id = pc.product_id
-            LEFT JOIN categories c ON pc.category_id = c.id
+            JOIN product_metrics pm ON p.pid = pm.pid
+            LEFT JOIN product_categories pc ON p.pid = pc.pid
+            LEFT JOIN categories c ON pc.cat_id = c.cat_id
             WHERE pm.stock_status = 'Overstocked'
-            GROUP BY p.product_id
+            GROUP BY p.pid
             ORDER BY excess_cost DESC
             LIMIT ?
         `, [limit]);
@@ -439,196 +443,116 @@ router.get('/overstock/products', async (req, res) => {
 // Returns best-selling products, vendors, and categories
 router.get('/best-sellers', async (req, res) => {
     try {
-        const [products] = await executeQuery(`
-            WITH product_sales AS (
-                SELECT 
-                    p.product_id,
-                    p.SKU as sku,
-                    p.title,
-                    -- Current period (last 30 days)
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN o.quantity 
-                        ELSE 0 
-                    END) as units_sold,
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN o.price * o.quantity 
-                        ELSE 0 
-                    END) as revenue,
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN (o.price - p.cost_price) * o.quantity 
-                        ELSE 0 
-                    END) as profit,
-                    -- Previous period (30-60 days ago)
-                    SUM(CASE 
-                        WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 60 DAY) AND DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)
-                        THEN o.price * o.quantity 
-                        ELSE 0 
-                    END) as previous_revenue
-                FROM products p
-                JOIN orders o ON p.product_id = o.product_id 
-                WHERE o.canceled = false
-                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 60 DAY)
-                GROUP BY p.product_id, p.SKU, p.title
-            )
-            SELECT 
-                product_id,
-                sku,
-                title,
-                units_sold,
-                revenue,
-                profit,
-                CASE 
-                    WHEN previous_revenue > 0 
-                    THEN ((revenue - previous_revenue) / previous_revenue * 100)
-                    WHEN revenue > 0 
-                    THEN 100
-                    ELSE 0 
-                END as growth_rate
-            FROM product_sales
-            WHERE units_sold > 0
-            ORDER BY revenue DESC
-            LIMIT 50
-        `);
+        const pool = req.app.locals.pool;
 
-        const [brands] = await executeQuery(`
-            WITH brand_sales AS (
+        // Common CTE for category paths
+        const categoryPathCTE = `
+            WITH RECURSIVE category_path AS (
                 SELECT 
-                    p.brand,
-                    -- Current period (last 30 days)
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN o.quantity 
-                        ELSE 0 
-                    END) as units_sold,
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN o.price * o.quantity 
-                        ELSE 0 
-                    END) as revenue,
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN (o.price - p.cost_price) * o.quantity 
-                        ELSE 0 
-                    END) as profit,
-                    -- Previous period (30-60 days ago)
-                    SUM(CASE 
-                        WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 60 DAY) AND DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)
-                        THEN o.price * o.quantity 
-                        ELSE 0 
-                    END) as previous_revenue
-                FROM products p
-                JOIN orders o ON p.product_id = o.product_id
-                WHERE o.canceled = false
-                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 60 DAY)
-                    AND p.brand IS NOT NULL
-                GROUP BY p.brand
-            )
-            SELECT 
-                brand,
-                units_sold,
-                revenue,
-                profit,
-                CASE 
-                    WHEN previous_revenue > 0 
-                    THEN ((revenue - previous_revenue) / previous_revenue * 100)
-                    WHEN revenue > 0 
-                    THEN 100
-                    ELSE 0 
-                END as growth_rate
-            FROM brand_sales
-            WHERE units_sold > 0
-            ORDER BY revenue DESC
-            LIMIT 50
-        `);
-
-        const [categories] = await executeQuery(`
-            WITH category_sales AS (
-                SELECT 
-                    c.id as category_id,
+                    c.cat_id,
                     c.name,
-                    -- Current period (last 30 days)
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN o.quantity 
-                        ELSE 0 
-                    END) as units_sold,
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN o.price * o.quantity 
-                        ELSE 0 
-                    END) as revenue,
-                    SUM(CASE 
-                        WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY) 
-                        THEN (o.price - p.cost_price) * o.quantity 
-                        ELSE 0 
-                    END) as profit,
-                    -- Previous period (30-60 days ago)
-                    SUM(CASE 
-                        WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 60 DAY) AND DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)
-                        THEN o.price * o.quantity 
-                        ELSE 0 
-                    END) as previous_revenue
+                    c.parent_id,
+                    CAST(c.name AS CHAR(1000)) as path
                 FROM categories c
-                JOIN product_categories pc ON c.id = pc.category_id
-                JOIN products p ON pc.product_id = p.product_id
-                JOIN orders o ON p.product_id = o.product_id
-                WHERE o.canceled = false
-                    AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 60 DAY)
-                GROUP BY c.id, c.name
+                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
             )
+        `;
+
+        // Get best selling products
+        const [products] = await pool.query(`
             SELECT 
-                category_id,
-                name,
-                units_sold,
-                revenue,
-                profit,
-                CASE 
-                    WHEN previous_revenue > 0 
-                    THEN ((revenue - previous_revenue) / previous_revenue * 100)
-                    WHEN revenue > 0 
-                    THEN 100
-                    ELSE 0 
-                END as growth_rate
-            FROM category_sales
-            WHERE units_sold > 0
-            ORDER BY revenue DESC
-            LIMIT 50
+                p.pid,
+                p.SKU as sku,
+                p.title,
+                SUM(o.quantity) as units_sold,
+                CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
+                CAST(SUM(o.price * o.quantity - p.cost_price * o.quantity) AS DECIMAL(15,3)) as profit
+            FROM products p
+            JOIN orders o ON p.pid = o.pid
+            WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
+                AND o.canceled = false
+            GROUP BY p.pid
+            ORDER BY units_sold DESC
+            LIMIT 10
         `);
 
-        // Format response with explicit type conversion
-        const formattedProducts = products.map(p => ({
-            ...p,
-            units_sold: parseInt(p.units_sold) || 0,
-            revenue: parseFloat(p.revenue) || 0,
-            profit: parseFloat(p.profit) || 0,
-            growth_rate: parseFloat(p.growth_rate) || 0
-        }));
+        // Get best selling brands
+        const [brands] = await pool.query(`
+            SELECT 
+                p.brand,
+                SUM(o.quantity) as units_sold,
+                CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
+                CAST(SUM(o.price * o.quantity - p.cost_price * o.quantity) AS DECIMAL(15,3)) as profit,
+                ROUND(
+                    ((SUM(CASE 
+                        WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) 
+                        THEN o.price * o.quantity 
+                        ELSE 0 
+                    END) / 
+                    NULLIF(SUM(CASE 
+                        WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY) 
+                        AND o.date < DATE_SUB(CURDATE(), INTERVAL 30 DAY)
+                        THEN o.price * o.quantity 
+                        ELSE 0 
+                    END), 0)) - 1) * 100,
+                    1
+                ) as growth_rate
+            FROM products p
+            JOIN orders o ON p.pid = o.pid
+            WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
+                AND o.canceled = false
+            GROUP BY p.brand
+            ORDER BY units_sold DESC
+            LIMIT 10
+        `);
 
-        const formattedBrands = brands.map(b => ({
-            brand: b.brand,
-            units_sold: parseInt(b.units_sold) || 0,
-            revenue: parseFloat(b.revenue) || 0,
-            profit: parseFloat(b.profit) || 0,
-            growth_rate: parseFloat(b.growth_rate) || 0
-        }));
+        // Get best selling categories with full path
+        const [categories] = await pool.query(`
+            ${categoryPathCTE}
+            SELECT 
+                c.cat_id,
+                c.name,
+                cp.path as categoryPath,
+                SUM(o.quantity) as units_sold,
+                CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
+                CAST(SUM(o.price * o.quantity - p.cost_price * o.quantity) AS DECIMAL(15,3)) as profit,
+                ROUND(
+                    ((SUM(CASE 
+                        WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) 
+                        THEN o.price * o.quantity 
+                        ELSE 0 
+                    END) / 
+                    NULLIF(SUM(CASE 
+                        WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY) 
+                        AND o.date < DATE_SUB(CURDATE(), INTERVAL 30 DAY)
+                        THEN o.price * o.quantity 
+                        ELSE 0 
+                    END), 0)) - 1) * 100,
+                    1
+                ) as growth_rate
+            FROM products p
+            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 >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
+                AND o.canceled = false
+            GROUP BY c.cat_id, c.name, cp.path
+            ORDER BY units_sold DESC
+            LIMIT 10
+        `);
 
-        const formattedCategories = categories.map(c => ({
-            category_id: c.category_id,
-            name: c.name,
-            units_sold: parseInt(c.units_sold) || 0,
-            revenue: parseFloat(c.revenue) || 0,
-            profit: parseFloat(c.profit) || 0,
-            growth_rate: parseFloat(c.growth_rate) || 0
-        }));
-
-        res.json({
-            products: formattedProducts,
-            brands: formattedBrands,
-            categories: formattedCategories
-        });
+        res.json({ products, brands, categories });
     } catch (err) {
         console.error('Error fetching best sellers:', err);
         res.status(500).json({ error: 'Failed to fetch best sellers' });
@@ -650,7 +574,7 @@ router.get('/sales/metrics', async (req, res) => {
                 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.product_id = p.product_id
+            JOIN products p ON o.pid = p.pid
             WHERE o.canceled = false
                 AND o.date BETWEEN ? AND ?
             GROUP BY DATE(o.date)
@@ -666,7 +590,7 @@ router.get('/sales/metrics', async (req, res) => {
                 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.product_id = p.product_id
+            JOIN products p ON o.pid = p.pid
             WHERE o.canceled = false
                 AND o.date BETWEEN ? AND ?
         `, [startDate, endDate]);
@@ -698,7 +622,7 @@ router.get('/low-stock/products', async (req, res) => {
     try {
         const [rows] = await executeQuery(`
             SELECT 
-                p.product_id,
+                p.pid,
                 p.SKU,
                 p.title,
                 p.brand,
@@ -712,12 +636,12 @@ router.get('/low-stock/products', async (req, res) => {
                 (pm.reorder_qty * p.cost_price) as reorder_cost,
                 GROUP_CONCAT(c.name) as categories
             FROM products p
-            JOIN product_metrics pm ON p.product_id = pm.product_id
-            LEFT JOIN product_categories pc ON p.product_id = pc.product_id
-            LEFT JOIN categories c ON pc.category_id = c.id
+            JOIN product_metrics pm ON p.pid = pm.pid
+            LEFT JOIN product_categories pc ON p.pid = pc.pid
+            LEFT JOIN categories c ON pc.cat_id = c.cat_id
             WHERE pm.stock_status IN ('Critical', 'Reorder')
                 AND p.replenishable = true
-            GROUP BY p.product_id
+            GROUP BY p.pid
             ORDER BY 
                 CASE pm.stock_status 
                     WHEN 'Critical' THEN 1 
@@ -742,17 +666,17 @@ router.get('/trending/products', async (req, res) => {
         const [rows] = await executeQuery(`
             WITH recent_sales AS (
                 SELECT 
-                    o.product_id,
+                    o.pid,
                     COUNT(DISTINCT o.order_number) as recent_orders,
                     SUM(o.quantity) as recent_units,
                     SUM(o.price * o.quantity) as recent_revenue
                 FROM orders o
                 WHERE o.canceled = false
                     AND o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY)
-                GROUP BY o.product_id
+                GROUP BY o.pid
             )
             SELECT 
-                p.product_id,
+                p.pid,
                 p.SKU,
                 p.title,
                 p.brand,
@@ -767,15 +691,15 @@ router.get('/trending/products', async (req, res) => {
                 ((rs.recent_units / ?) - pm.daily_sales_avg) / pm.daily_sales_avg * 100 as velocity_change,
                 GROUP_CONCAT(c.name) as categories
             FROM recent_sales rs
-            JOIN products p ON rs.product_id = p.product_id
-            JOIN product_metrics pm ON p.product_id = pm.product_id
-            LEFT JOIN product_categories pc ON p.product_id = pc.product_id
-            LEFT JOIN categories c ON pc.category_id = c.id
-            GROUP BY p.product_id
+            JOIN products p ON rs.pid = p.pid
+            JOIN product_metrics pm ON p.pid = pm.pid
+            LEFT JOIN product_categories pc ON p.pid = pc.pid
+            LEFT JOIN categories c ON pc.cat_id = c.cat_id
+            GROUP BY p.pid
             HAVING velocity_change > 0
             ORDER BY velocity_change DESC
             LIMIT ?
-        `, [days, days, days, limit]);
+        `, [days, days, limit]);
         res.json(rows);
     } catch (err) {
         console.error('Error fetching trending products:', err);
@@ -859,7 +783,7 @@ router.get('/key-metrics', async (req, res) => {
                     COUNT(CASE WHEN pm.stock_status = 'Critical' THEN 1 END) as critical_stock_count,
                     COUNT(CASE WHEN pm.stock_status = 'Overstocked' THEN 1 END) as overstock_count
                 FROM products p
-                JOIN product_metrics pm ON p.product_id = pm.product_id
+                JOIN product_metrics pm ON p.pid = pm.pid
             ),
             sales_summary AS (
                 SELECT
@@ -909,7 +833,7 @@ router.get('/inventory-health', async (req, res) => {
                     AVG(pm.turnover_rate) as avg_turnover_rate,
                     AVG(pm.days_of_inventory) as avg_days_inventory
                 FROM products p
-                JOIN product_metrics pm ON p.product_id = pm.product_id
+                JOIN product_metrics pm ON p.pid = pm.pid
                 WHERE p.replenishable = true
             ),
             value_distribution AS (
@@ -931,7 +855,7 @@ router.get('/inventory-health', async (req, res) => {
                         ELSE 0 
                     END) * 100.0 / SUM(p.stock_quantity * p.cost_price) as overstock_value_percent
                 FROM products p
-                JOIN product_metrics pm ON p.product_id = pm.product_id
+                JOIN product_metrics pm ON p.pid = pm.pid
             ),
             category_health AS (
                 SELECT
@@ -940,11 +864,11 @@ router.get('/inventory-health', async (req, res) => {
                     SUM(CASE WHEN pm.stock_status = 'Healthy' THEN 1 ELSE 0 END) * 100.0 / COUNT(*) as category_healthy_percent,
                     AVG(pm.turnover_rate) as category_turnover_rate
                 FROM categories c
-                JOIN product_categories pc ON c.id = pc.category_id
-                JOIN products p ON pc.product_id = p.product_id
-                JOIN product_metrics pm ON p.product_id = pm.product_id
+                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
                 WHERE p.replenishable = true
-                GROUP BY c.id, c.name
+                GROUP BY c.cat_id, c.name
             )
             SELECT
                 sd.*,
@@ -975,20 +899,15 @@ router.get('/replenish/products', async (req, res) => {
     try {
         const [products] = await executeQuery(`
             SELECT 
-                p.product_id,
-                p.SKU,
+                p.pid,
+                p.SKU as sku,
                 p.title,
-                p.stock_quantity as current_stock,
-                pm.reorder_qty as replenish_qty,
-                (pm.reorder_qty * p.cost_price) as replenish_cost,
-                (pm.reorder_qty * p.price) as replenish_retail,
-                CASE 
-                    WHEN pm.daily_sales_avg > 0 
-                    THEN FLOOR(p.stock_quantity / pm.daily_sales_avg)
-                    ELSE NULL 
-                END as days_until_stockout
+                p.stock_quantity,
+                pm.daily_sales_avg,
+                pm.reorder_qty,
+                pm.last_purchase_date
             FROM products p
-            JOIN product_metrics pm ON p.product_id = pm.product_id
+            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
@@ -997,23 +916,16 @@ router.get('/replenish/products', async (req, res) => {
                     WHEN 'Critical' THEN 1 
                     WHEN 'Reorder' THEN 2 
                 END,
-                replenish_cost DESC
+                pm.reorder_qty * p.cost_price DESC
             LIMIT ?
         `, [limit]);
 
-        // Format response
-        const response = products.map(p => ({
-            product_id: p.product_id,
-            SKU: p.SKU,
-            title: p.title,
-            current_stock: parseInt(p.current_stock) || 0,
-            replenish_qty: parseInt(p.replenish_qty) || 0,
-            replenish_cost: parseFloat(p.replenish_cost) || 0,
-            replenish_retail: parseFloat(p.replenish_retail) || 0,
-            days_until_stockout: p.days_until_stockout
-        }));
-
-        res.json(response);
+        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
+        })));
     } 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/metrics.js

@@ -9,25 +9,25 @@ router.get('/trends', async (req, res) => {
       WITH MonthlyMetrics AS (
         SELECT 
           DATE(CONCAT(pta.year, '-', LPAD(pta.month, 2, '0'), '-01')) as date,
-          SUM(pta.total_revenue) as revenue,
-          SUM(pta.total_cost) as cost,
-          SUM(pm.inventory_value) as inventory_value,
+          CAST(COALESCE(SUM(pta.total_revenue), 0) AS DECIMAL(15,3)) as revenue,
+          CAST(COALESCE(SUM(pta.total_cost), 0) AS DECIMAL(15,3)) as cost,
+          CAST(COALESCE(SUM(pm.inventory_value), 0) AS DECIMAL(15,3)) as inventory_value,
           CASE 
             WHEN SUM(pm.inventory_value) > 0 
-            THEN (SUM(pta.total_revenue - pta.total_cost) / SUM(pm.inventory_value)) * 100
+            THEN CAST((SUM(pta.total_revenue - pta.total_cost) / SUM(pm.inventory_value)) * 100 AS DECIMAL(15,3))
             ELSE 0 
           END as gmroi
         FROM product_time_aggregates pta
-        JOIN product_metrics pm ON pta.product_id = pm.product_id
+        JOIN product_metrics pm ON pta.pid = pm.pid
         WHERE (pta.year * 100 + pta.month) >= DATE_FORMAT(DATE_SUB(CURDATE(), INTERVAL 12 MONTH), '%Y%m')
         GROUP BY pta.year, pta.month
         ORDER BY date ASC
       )
       SELECT 
         DATE_FORMAT(date, '%b %y') as date,
-        ROUND(revenue, 2) as revenue,
-        ROUND(inventory_value, 2) as inventory_value,
-        ROUND(gmroi, 2) as gmroi
+        revenue,
+        inventory_value,
+        gmroi
       FROM MonthlyMetrics
     `);
 
@@ -37,15 +37,15 @@ router.get('/trends', async (req, res) => {
     const transformedData = {
       revenue: rows.map(row => ({
         date: row.date,
-        value: parseFloat(row.revenue || 0)
+        value: parseFloat(row.revenue)
       })),
       inventory_value: rows.map(row => ({
         date: row.date,
-        value: parseFloat(row.inventory_value || 0)
+        value: parseFloat(row.inventory_value)
       })),
       gmroi: rows.map(row => ({
         date: row.date,
-        value: parseFloat(row.gmroi || 0)
+        value: parseFloat(row.gmroi)
       }))
     };
 

inventory-server/src/routes/orders.js

@@ -74,8 +74,8 @@ router.get('/', async (req, res) => {
         o1.status,
         o1.payment_method,
         o1.shipping_method,
-        COUNT(o2.product_id) as items_count,
-        SUM(o2.price * o2.quantity) as total_amount
+        COUNT(o2.pid) as items_count,
+        CAST(SUM(o2.price * o2.quantity) AS DECIMAL(15,3)) as total_amount
       FROM orders o1
       JOIN orders o2 ON o1.order_number = o2.order_number
       WHERE ${conditions.join(' AND ')}
@@ -101,7 +101,7 @@ router.get('/', async (req, res) => {
       WITH CurrentStats AS (
         SELECT 
           COUNT(DISTINCT order_number) as total_orders,
-          SUM(price * quantity) as total_revenue
+          CAST(SUM(price * quantity) AS DECIMAL(15,3)) as total_revenue
         FROM orders
         WHERE canceled = false
           AND DATE(date) >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
@@ -109,7 +109,7 @@ router.get('/', async (req, res) => {
       PreviousStats AS (
         SELECT 
           COUNT(DISTINCT order_number) as prev_orders,
-          SUM(price * quantity) as prev_revenue
+          CAST(SUM(price * quantity) AS DECIMAL(15,3)) as prev_revenue
         FROM orders
         WHERE canceled = false
           AND DATE(date) BETWEEN DATE_SUB(CURDATE(), INTERVAL 60 DAY) AND DATE_SUB(CURDATE(), INTERVAL 30 DAY)
@@ -117,7 +117,7 @@ router.get('/', async (req, res) => {
       OrderValues AS (
         SELECT 
           order_number,
-          SUM(price * quantity) as order_value
+          CAST(SUM(price * quantity) AS DECIMAL(15,3)) as order_value
         FROM orders
         WHERE canceled = false
           AND DATE(date) >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
@@ -138,12 +138,12 @@ router.get('/', async (req, res) => {
         END as revenue_growth,
         CASE 
           WHEN cs.total_orders > 0 
-          THEN (cs.total_revenue / cs.total_orders)
+          THEN CAST((cs.total_revenue / cs.total_orders) AS DECIMAL(15,3))
           ELSE 0 
         END as average_order_value,
         CASE 
           WHEN ps.prev_orders > 0 
-          THEN (ps.prev_revenue / ps.prev_orders)
+          THEN CAST((ps.prev_revenue / ps.prev_orders) AS DECIMAL(15,3))
           ELSE 0 
         END as prev_average_order_value
       FROM CurrentStats cs
@@ -199,8 +199,8 @@ router.get('/:orderNumber', async (req, res) => {
         o1.shipping_method,
         o1.shipping_address,
         o1.billing_address,
-        COUNT(o2.product_id) as items_count,
-        SUM(o2.price * o2.quantity) as total_amount
+        COUNT(o2.pid) as items_count,
+        CAST(SUM(o2.price * o2.quantity) AS DECIMAL(15,3)) as total_amount
       FROM orders o1
       JOIN orders o2 ON o1.order_number = o2.order_number
       WHERE o1.order_number = ? AND o1.canceled = false
@@ -222,14 +222,14 @@ router.get('/:orderNumber', async (req, res) => {
     // Get order items
     const [itemRows] = await pool.query(`
       SELECT 
-        o.product_id,
+        o.pid,
         p.title,
-        p.sku,
+        p.SKU,
         o.quantity,
         o.price,
-        (o.price * o.quantity) as total
+        CAST((o.price * o.quantity) AS DECIMAL(15,3)) as total
       FROM orders o
-      JOIN products p ON o.product_id = p.product_id
+      JOIN products p ON o.pid = p.pid
       WHERE o.order_number = ? AND o.canceled = false
     `, [req.params.orderNumber]);
 

inventory-server/src/routes/products.js

@@ -2,6 +2,7 @@ const express = require('express');
 const router = express.Router();
 const multer = require('multer');
 const { importProductsFromCSV } = require('../utils/csvImporter');
+const { PurchaseOrderStatus, ReceivingStatus } = require('../types/status-codes');
 
 // Configure multer for file uploads
 const upload = multer({ dest: 'uploads/' });
@@ -20,15 +21,13 @@ router.get('/brands', async (req, res) => {
         console.log('Fetching brands from database...');
         
         const [results] = await pool.query(`
-            SELECT DISTINCT p.brand 
+            SELECT DISTINCT COALESCE(p.brand, 'Unbranded') as brand
             FROM products p
-            JOIN purchase_orders po ON p.product_id = po.product_id
-            WHERE p.brand IS NOT NULL 
-            AND p.brand != ''
-            AND p.visible = true
-            GROUP BY p.brand
+            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 p.brand
+            ORDER BY COALESCE(p.brand, 'Unbranded')
         `);
         
         console.log(`Found ${results.length} brands:`, results.slice(0, 3));
@@ -147,9 +146,9 @@ router.get('/', async (req, res) => {
 
     // Get total count for pagination
     const countQuery = `
-      SELECT COUNT(DISTINCT p.product_id) as total 
+      SELECT COUNT(DISTINCT p.pid) as total 
       FROM products p
-      LEFT JOIN product_metrics pm ON p.product_id = pm.product_id
+      LEFT JOIN product_metrics pm ON p.pid = pm.pid
       ${whereClause}
     `;
     const [countResult] = await pool.query(countQuery, params);
@@ -163,36 +162,69 @@ router.get('/', async (req, res) => {
       'SELECT DISTINCT vendor FROM products WHERE visible = true AND vendor IS NOT NULL AND vendor != "" ORDER BY vendor'
     );
     const [brands] = await pool.query(
-      'SELECT DISTINCT brand FROM products WHERE visible = true AND brand IS NOT NULL AND brand != "" ORDER BY brand'
+      'SELECT DISTINCT COALESCE(brand, \'Unbranded\') as brand FROM products WHERE visible = true ORDER BY brand'
     );
 
     // Main query with all fields
     const query = `
-      WITH product_thresholds AS (
-        SELECT 
-          p.product_id,
-          COALESCE(
-            (SELECT overstock_days FROM stock_thresholds st 
-             WHERE st.category_id IN (
-               SELECT pc.category_id 
-               FROM product_categories pc 
-               WHERE pc.product_id = p.product_id
-             )
-             AND (st.vendor = p.vendor OR st.vendor IS NULL)
-             ORDER BY st.vendor IS NULL
-             LIMIT 1),
-            (SELECT overstock_days FROM stock_thresholds st 
-             WHERE st.category_id IS NULL 
-             AND (st.vendor = p.vendor OR st.vendor IS NULL)
-             ORDER BY st.vendor IS NULL
-             LIMIT 1),
-            90
-          ) as target_days
-        FROM products p
-      )
+      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
+        ),
+        product_thresholds AS (
+          SELECT 
+            p.pid,
+            COALESCE(
+              (SELECT overstock_days FROM stock_thresholds st 
+               WHERE st.category_id IN (
+                 SELECT pc.cat_id 
+                 FROM product_categories pc 
+                 WHERE pc.pid = p.pid
+               )
+               AND (st.vendor = p.vendor OR st.vendor IS NULL)
+               ORDER BY st.vendor IS NULL
+               LIMIT 1),
+              (SELECT overstock_days FROM stock_thresholds st 
+               WHERE st.category_id IS NULL 
+               AND (st.vendor = p.vendor OR st.vendor IS NULL)
+               ORDER BY st.vendor IS NULL
+               LIMIT 1),
+              90
+            ) as target_days
+          FROM products p
+        ),
+        product_leaf_categories AS (
+          -- Find categories that aren't parents to other categories for this product
+          SELECT DISTINCT pc.cat_id
+          FROM product_categories pc
+          WHERE NOT EXISTS (
+            SELECT 1 
+            FROM categories child
+            JOIN product_categories child_pc ON child.cat_id = child_pc.cat_id
+            WHERE child.parent_id = pc.cat_id
+            AND child_pc.pid = pc.pid
+          )
+        )
       SELECT 
         p.*,
-        GROUP_CONCAT(DISTINCT c.name) as categories,
+        COALESCE(p.brand, 'Unbranded') as brand,
+        GROUP_CONCAT(DISTINCT CONCAT(c.cat_id, ':', c.name)) as categories,
         pm.daily_sales_avg,
         pm.weekly_sales_avg,
         pm.monthly_sales_avg,
@@ -205,10 +237,10 @@ router.get('/', async (req, res) => {
         pm.reorder_point,
         pm.safety_stock,
         pm.avg_margin_percent,
-        pm.total_revenue,
-        pm.inventory_value,
-        pm.cost_of_goods_sold,
-        pm.gross_profit,
+        CAST(pm.total_revenue AS DECIMAL(15,3)) as total_revenue,
+        CAST(pm.inventory_value AS DECIMAL(15,3)) as inventory_value,
+        CAST(pm.cost_of_goods_sold AS DECIMAL(15,3)) as cost_of_goods_sold,
+        CAST(pm.gross_profit AS DECIMAL(15,3)) as gross_profit,
         pm.gmroi,
         pm.avg_lead_time_days,
         pm.last_purchase_date,
@@ -223,12 +255,13 @@ router.get('/', async (req, res) => {
         pm.overstocked_amt,
         COALESCE(pm.days_of_inventory / NULLIF(pt.target_days, 0), 0) as stock_coverage_ratio
       FROM products p
-      LEFT JOIN product_metrics pm ON p.product_id = pm.product_id
-      LEFT JOIN product_categories pc ON p.product_id = pc.product_id
-      LEFT JOIN categories c ON pc.category_id = c.id
-      LEFT JOIN product_thresholds pt ON p.product_id = pt.product_id
-      ${whereClause}
-      GROUP BY p.product_id
+      LEFT JOIN product_metrics pm ON p.pid = pm.pid
+      LEFT JOIN product_categories pc ON p.pid = pc.pid
+      LEFT JOIN categories c ON pc.cat_id = c.cat_id
+      LEFT JOIN product_thresholds pt ON p.pid = pt.pid
+      JOIN product_leaf_categories plc ON c.cat_id = plc.cat_id
+      ${whereClause ? 'WHERE ' + whereClause.substring(6) : ''}
+      GROUP BY p.pid
       ORDER BY ${sortColumn} ${sortDirection}
       LIMIT ? OFFSET ?
     `;
@@ -308,7 +341,7 @@ router.get('/trending', async (req, res) => {
       SELECT COUNT(*) as count, 
              MAX(total_revenue) as max_revenue,
              MAX(daily_sales_avg) as max_daily_sales,
-             COUNT(DISTINCT product_id) as products_with_metrics
+             COUNT(DISTINCT pid) as products_with_metrics
       FROM product_metrics 
       WHERE total_revenue > 0 OR daily_sales_avg > 0
     `);
@@ -322,7 +355,7 @@ router.get('/trending', async (req, res) => {
     // Get trending products
     const [rows] = await pool.query(`
       SELECT 
-        p.product_id,
+        p.pid,
         p.sku,
         p.title,
         COALESCE(pm.daily_sales_avg, 0) as daily_sales_avg,
@@ -334,7 +367,7 @@ router.get('/trending', async (req, res) => {
         END as growth_rate,
         COALESCE(pm.total_revenue, 0) as total_revenue
       FROM products p
-      INNER JOIN product_metrics pm ON p.product_id = pm.product_id
+      INNER JOIN product_metrics pm ON p.pid = pm.pid
       WHERE (pm.total_revenue > 0 OR pm.daily_sales_avg > 0)
         AND p.visible = true
       ORDER BY growth_rate DESC
@@ -351,130 +384,160 @@ router.get('/trending', async (req, res) => {
 
 // Get a single product
 router.get('/:id', async (req, res) => {
-  const pool = req.app.locals.pool;
   try {
-    // Get basic product data with metrics
-    const [rows] = await pool.query(
-      `SELECT 
+    const pool = req.app.locals.pool;
+    const id = parseInt(req.params.id);
+
+    // Common CTE for category paths
+    const categoryPathCTE = `
+      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
+      )
+    `;
+
+    // Get product details with category paths
+    const [productRows] = await pool.query(`
+      SELECT 
         p.*,
-        GROUP_CONCAT(DISTINCT c.name) as categories,
         pm.daily_sales_avg,
         pm.weekly_sales_avg,
         pm.monthly_sales_avg,
         pm.days_of_inventory,
         pm.reorder_point,
         pm.safety_stock,
+        pm.stock_status,
+        pm.abc_class,
         pm.avg_margin_percent,
         pm.total_revenue,
         pm.inventory_value,
         pm.turnover_rate,
-        pm.abc_class,
-        pm.stock_status,
+        pm.gmroi,
+        pm.cost_of_goods_sold,
+        pm.gross_profit,
         pm.avg_lead_time_days,
         pm.current_lead_time,
         pm.target_lead_time,
         pm.lead_time_status,
-        pm.gmroi,
-        pm.cost_of_goods_sold,
-        pm.gross_profit
+        pm.reorder_qty,
+        pm.overstocked_amt
       FROM products p
-      LEFT JOIN product_metrics pm ON p.product_id = pm.product_id
-      LEFT JOIN product_categories pc ON p.product_id = pc.product_id
-      LEFT JOIN categories c ON pc.category_id = c.id
-      WHERE p.product_id = ? AND p.visible = true
-      GROUP BY p.product_id`,
-      [req.params.id]
-    );
-    
-    if (rows.length === 0) {
+      LEFT JOIN product_metrics pm ON p.pid = pm.pid
+      WHERE p.pid = ?
+    `, [id]);
+
+    if (!productRows.length) {
       return res.status(404).json({ error: 'Product not found' });
     }
 
-    // Get vendor performance metrics
-    const [vendorMetrics] = await pool.query(
-      `SELECT * FROM vendor_metrics WHERE vendor = ?`,
-      [rows[0].vendor]
-    );
+    // Get categories and their paths separately to avoid GROUP BY issues
+    const [categoryRows] = 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
+        ),
+        product_leaf_categories AS (
+          -- Find categories assigned to this product that aren't parents
+          -- of other categories assigned to this product
+          SELECT pc.cat_id
+          FROM product_categories pc
+          WHERE pc.pid = ?
+          AND NOT EXISTS (
+            -- Check if there are any child categories also assigned to this product
+            SELECT 1 
+            FROM categories child
+            JOIN product_categories child_pc ON child.cat_id = child_pc.cat_id
+            WHERE child.parent_id = pc.cat_id
+            AND child_pc.pid = pc.pid
+          )
+        )
+      SELECT 
+        c.cat_id,
+        c.name as category_name,
+        cp.path as full_path
+      FROM product_categories pc
+      JOIN categories c ON pc.cat_id = c.cat_id
+      JOIN category_path cp ON c.cat_id = cp.cat_id
+      JOIN product_leaf_categories plc ON c.cat_id = plc.cat_id
+      WHERE pc.pid = ?
+      ORDER BY cp.path
+    `, [id, id]);
+
+    // Transform the results
+    const categoryPathMap = categoryRows.reduce((acc, row) => {
+      // Use cat_id in the key to differentiate categories with the same name
+      acc[`${row.cat_id}:${row.category_name}`] = row.full_path;
+      return acc;
+    }, {});
 
-    // Transform the data to match frontend expectations
     const product = {
-      // Basic product info
-      product_id: rows[0].product_id,
-      title: rows[0].title,
-      SKU: rows[0].SKU,
-      barcode: rows[0].barcode,
-      created_at: rows[0].created_at,
-      updated_at: rows[0].updated_at,
-      
-      // Inventory fields
-      stock_quantity: parseInt(rows[0].stock_quantity),
-      moq: parseInt(rows[0].moq),
-      uom: parseInt(rows[0].uom),
-      managing_stock: Boolean(rows[0].managing_stock),
-      replenishable: Boolean(rows[0].replenishable),
-      
-      // Pricing fields
-      price: parseFloat(rows[0].price),
-      regular_price: parseFloat(rows[0].regular_price),
-      cost_price: parseFloat(rows[0].cost_price),
-      landing_cost_price: parseFloat(rows[0].landing_cost_price),
-      
-      // Categorization
-      categories: rows[0].categories ? rows[0].categories.split(',') : [],
-      tags: rows[0].tags ? rows[0].tags.split(',') : [],
-      options: rows[0].options ? JSON.parse(rows[0].options) : {},
-      
-      // Vendor info
-      vendor: rows[0].vendor,
-      vendor_reference: rows[0].vendor_reference,
-      brand: rows[0].brand,
-      
-      // URLs
-      permalink: rows[0].permalink,
-      image: rows[0].image,
-
-      // Metrics
-      metrics: {
-        // Sales metrics
-        daily_sales_avg: parseFloat(rows[0].daily_sales_avg) || 0,
-        weekly_sales_avg: parseFloat(rows[0].weekly_sales_avg) || 0,
-        monthly_sales_avg: parseFloat(rows[0].monthly_sales_avg) || 0,
-        
-        // Inventory metrics
-        days_of_inventory: parseInt(rows[0].days_of_inventory) || 0,
-        reorder_point: parseInt(rows[0].reorder_point) || 0,
-        safety_stock: parseInt(rows[0].safety_stock) || 0,
-        stock_status: rows[0].stock_status || 'Unknown',
-        abc_class: rows[0].abc_class || 'C',
-        
-        // Financial metrics
-        avg_margin_percent: parseFloat(rows[0].avg_margin_percent) || 0,
-        total_revenue: parseFloat(rows[0].total_revenue) || 0,
-        inventory_value: parseFloat(rows[0].inventory_value) || 0,
-        turnover_rate: parseFloat(rows[0].turnover_rate) || 0,
-        gmroi: parseFloat(rows[0].gmroi) || 0,
-        cost_of_goods_sold: parseFloat(rows[0].cost_of_goods_sold) || 0,
-        gross_profit: parseFloat(rows[0].gross_profit) || 0,
-        
-        // Lead time metrics
-        avg_lead_time_days: parseInt(rows[0].avg_lead_time_days) || 0,
-        current_lead_time: parseInt(rows[0].current_lead_time) || 0,
-        target_lead_time: parseInt(rows[0].target_lead_time) || 14,
-        lead_time_status: rows[0].lead_time_status || 'Unknown',
-        reorder_qty: parseInt(rows[0].reorder_qty) || 0,
-        overstocked_amt: parseInt(rows[0].overstocked_amt) || 0
-      },
-      
-      // Vendor performance (if available)
-      vendor_performance: vendorMetrics.length ? {
-        avg_lead_time_days: parseFloat(vendorMetrics[0].avg_lead_time_days) || 0,
-        on_time_delivery_rate: parseFloat(vendorMetrics[0].on_time_delivery_rate) || 0,
-        order_fill_rate: parseFloat(vendorMetrics[0].order_fill_rate) || 0,
-        total_orders: parseInt(vendorMetrics[0].total_orders) || 0,
-        total_late_orders: parseInt(vendorMetrics[0].total_late_orders) || 0,
-        total_purchase_value: parseFloat(vendorMetrics[0].total_purchase_value) || 0,
-        avg_order_value: parseFloat(vendorMetrics[0].avg_order_value) || 0
-      } : null
+      ...productRows[0],
+      // Include cat_id in categories array to match the keys in categoryPathMap
+      categories: categoryRows.map(row => `${row.cat_id}:${row.category_name}`),
+      category_paths: categoryPathMap,
+      price: parseFloat(productRows[0].price),
+      regular_price: parseFloat(productRows[0].regular_price),
+      cost_price: parseFloat(productRows[0].cost_price),
+      landing_cost_price: parseFloat(productRows[0].landing_cost_price),
+      stock_quantity: parseInt(productRows[0].stock_quantity),
+      moq: parseInt(productRows[0].moq),
+      uom: parseInt(productRows[0].uom),
+      managing_stock: Boolean(productRows[0].managing_stock),
+      replenishable: Boolean(productRows[0].replenishable),
+      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,
+      avg_quantity_per_order: parseFloat(productRows[0].avg_quantity_per_order) || 0,
+      number_of_orders: parseInt(productRows[0].number_of_orders) || 0,
+      first_sale_date: productRows[0].first_sale_date || null,
+      last_sale_date: productRows[0].last_sale_date || null,
+      days_of_inventory: parseFloat(productRows[0].days_of_inventory) || 0,
+      weeks_of_inventory: parseFloat(productRows[0].weeks_of_inventory) || 0,
+      reorder_point: parseFloat(productRows[0].reorder_point) || 0,
+      safety_stock: parseFloat(productRows[0].safety_stock) || 0,
+      avg_margin_percent: parseFloat(productRows[0].avg_margin_percent) || 0,
+      total_revenue: parseFloat(productRows[0].total_revenue) || 0,
+      inventory_value: parseFloat(productRows[0].inventory_value) || 0,
+      cost_of_goods_sold: parseFloat(productRows[0].cost_of_goods_sold) || 0,
+      gross_profit: parseFloat(productRows[0].gross_profit) || 0,
+      gmroi: parseFloat(productRows[0].gmroi) || 0,
+      avg_lead_time_days: parseFloat(productRows[0].avg_lead_time_days) || 0,
+      current_lead_time: parseFloat(productRows[0].current_lead_time) || 0,
+      target_lead_time: parseFloat(productRows[0].target_lead_time) || 0,
+      lead_time_status: productRows[0].lead_time_status || null,
+      reorder_qty: parseInt(productRows[0].reorder_qty) || 0,
+      overstocked_amt: parseInt(productRows[0].overstocked_amt) || 0
     };
 
     res.json(product);
@@ -532,7 +595,7 @@ router.put('/:id', async (req, res) => {
            categories = ?,
            visible = ?,
            managing_stock = ?
-       WHERE product_id = ?`,
+       WHERE pid = ?`,
       [
         title,
         sku,
@@ -570,7 +633,7 @@ router.get('/:id/metrics', async (req, res) => {
     const [metrics] = await pool.query(`
       WITH inventory_status AS (
         SELECT 
-          p.product_id,
+          p.pid,
           CASE 
             WHEN pm.daily_sales_avg = 0 THEN 'New'
             WHEN p.stock_quantity <= CEIL(pm.daily_sales_avg * 7) THEN 'Critical'
@@ -579,8 +642,8 @@ router.get('/:id/metrics', async (req, res) => {
             ELSE 'Healthy'
           END as calculated_status
         FROM products p
-        LEFT JOIN product_metrics pm ON p.product_id = pm.product_id
-        WHERE p.product_id = ?
+        LEFT JOIN product_metrics pm ON p.pid = pm.pid
+        WHERE p.pid = ?
       )
       SELECT 
         COALESCE(pm.daily_sales_avg, 0) as daily_sales_avg,
@@ -604,9 +667,9 @@ router.get('/:id/metrics', async (req, res) => {
         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.product_id = pm.product_id
-      LEFT JOIN inventory_status is ON p.product_id = is.product_id
-      WHERE p.product_id = ?
+      LEFT JOIN product_metrics pm ON p.pid = pm.pid
+      LEFT JOIN inventory_status is ON p.pid = is.pid
+      WHERE p.pid = ?
     `, [id]);
 
     if (!metrics.length) {
@@ -643,57 +706,35 @@ router.get('/:id/metrics', async (req, res) => {
 
 // Get product time series data
 router.get('/:id/time-series', async (req, res) => {
-  const pool = req.app.locals.pool;
+  const { id } = req.params;
   try {
-    const { id } = req.params;
-    const months = parseInt(req.query.months) || 12;
-    
-    // Get monthly sales data with running totals and growth rates
-    const [monthlySales] = await pool.query(`
-      WITH monthly_data AS (
-        SELECT 
-          CONCAT(year, '-', LPAD(month, 2, '0')) as month,
-          total_quantity_sold as quantity,
-          total_revenue as revenue,
-          total_cost as cost,
-          avg_price,
-          profit_margin,
-          inventory_value
-        FROM product_time_aggregates 
-        WHERE product_id = ?
-        ORDER BY year DESC, month DESC
-        LIMIT ?
-      )
-      SELECT 
-        month,
-        quantity,
-        revenue,
-        cost,
-        avg_price,
-        profit_margin,
-        inventory_value,
-        LAG(quantity) OVER (ORDER BY month) as prev_month_quantity,
-        LAG(revenue) OVER (ORDER BY month) as prev_month_revenue
-      FROM monthly_data
-      ORDER BY month ASC
-    `, [id, months]);
+    const pool = req.app.locals.pool;
 
-    // Calculate growth rates and format data
-    const formattedMonthlySales = monthlySales.map(row => ({
-      month: row.month,
-      quantity: parseInt(row.quantity) || 0,
-      revenue: parseFloat(row.revenue) || 0,
-      cost: parseFloat(row.cost) || 0,
-      avg_price: parseFloat(row.avg_price) || 0,
-      profit_margin: parseFloat(row.profit_margin) || 0,
-      inventory_value: parseFloat(row.inventory_value) || 0,
-      quantity_growth: row.prev_month_quantity ? 
-        ((row.quantity - row.prev_month_quantity) / row.prev_month_quantity) * 100 : 0,
-      revenue_growth: row.prev_month_revenue ? 
-        ((row.revenue - row.prev_month_revenue) / row.prev_month_revenue) * 100 : 0
+    // Get monthly sales data
+    const [monthlySales] = await pool.query(`
+      SELECT 
+        DATE_FORMAT(date, '%Y-%m') as month,
+        COUNT(DISTINCT order_number) as order_count,
+        SUM(quantity) as units_sold,
+        CAST(SUM(price * quantity) AS DECIMAL(15,3)) as revenue
+      FROM orders
+      WHERE pid = ?
+        AND canceled = false
+      GROUP BY DATE_FORMAT(date, '%Y-%m')
+      ORDER BY month DESC
+      LIMIT 12
+    `, [id]);
+
+    // Format monthly sales data
+    const formattedMonthlySales = monthlySales.map(month => ({
+      month: month.month,
+      order_count: parseInt(month.order_count),
+      units_sold: parseInt(month.units_sold),
+      revenue: parseFloat(month.revenue),
+      profit: 0 // Set to 0 since we don't have cost data in orders table
     }));
 
-    // Get recent orders with customer info and status
+    // Get recent orders
     const [recentOrders] = await pool.query(`
       SELECT 
         DATE_FORMAT(date, '%Y-%m-%d') as date,
@@ -703,11 +744,10 @@ router.get('/:id/time-series', async (req, res) => {
         discount,
         tax,
         shipping,
-        customer,
-        status,
-        payment_method
+        customer_name as customer,
+        status
       FROM orders 
-      WHERE product_id = ?
+      WHERE pid = ?
         AND canceled = false
       ORDER BY date DESC
       LIMIT 10
@@ -723,17 +763,19 @@ router.get('/:id/time-series', async (req, res) => {
         ordered,
         received,
         status,
+        receiving_status,
         cost_price,
         notes,
         CASE 
           WHEN received_date IS NOT NULL THEN 
             DATEDIFF(received_date, date)
-          WHEN expected_date < CURDATE() AND status != 'received' THEN 
+          WHEN expected_date < CURDATE() AND status < ${PurchaseOrderStatus.ReceivingStarted} THEN 
             DATEDIFF(CURDATE(), expected_date)
           ELSE NULL 
         END as lead_time_days
       FROM purchase_orders 
-      WHERE product_id = ?
+      WHERE pid = ?
+        AND status != ${PurchaseOrderStatus.Canceled}
       ORDER BY date DESC
       LIMIT 10
     `, [id]);
@@ -752,6 +794,8 @@ router.get('/:id/time-series', async (req, res) => {
         ...po,
         ordered: parseInt(po.ordered),
         received: parseInt(po.received),
+        status: parseInt(po.status),
+        receiving_status: parseInt(po.receiving_status),
         cost_price: parseFloat(po.cost_price),
         lead_time_days: po.lead_time_days ? parseInt(po.lead_time_days) : null
       }))

inventory-server/src/routes/purchase-orders.js

@@ -1,6 +1,26 @@
 const express = require('express');
 const router = express.Router();
 
+// Status code constants
+const STATUS = {
+  CANCELED: 0,
+  CREATED: 1,
+  ELECTRONICALLY_READY_SEND: 10,
+  ORDERED: 11,
+  PREORDERED: 12,
+  ELECTRONICALLY_SENT: 13,
+  RECEIVING_STARTED: 15,
+  DONE: 50
+};
+
+const RECEIVING_STATUS = {
+  CANCELED: 0,
+  CREATED: 1,
+  PARTIAL_RECEIVED: 30,
+  FULL_RECEIVED: 40,
+  PAID: 50
+};
+
 // Get all purchase orders with summary metrics
 router.get('/', async (req, res) => {
   try {
@@ -11,13 +31,13 @@ router.get('/', async (req, res) => {
     const params = [];
     
     if (search) {
-      whereClause += ' AND (po.po_id LIKE ? OR po.vendor LIKE ? OR po.status LIKE ?)';
-      params.push(`%${search}%`, `%${search}%`, `%${search}%`);
+      whereClause += ' AND (po.po_id LIKE ? OR po.vendor LIKE ?)';
+      params.push(`%${search}%`, `%${search}%`);
     }
     
     if (status && status !== 'all') {
       whereClause += ' AND po.status = ?';
-      params.push(status);
+      params.push(Number(status));
     }
     
     if (vendor && vendor !== 'all') {
@@ -42,7 +62,7 @@ router.get('/', async (req, res) => {
           po_id,
           SUM(ordered) as total_ordered,
           SUM(received) as total_received,
-          SUM(ordered * cost_price) as total_cost
+          CAST(SUM(ordered * cost_price) AS DECIMAL(15,3)) as total_cost
         FROM purchase_orders po
         WHERE ${whereClause}
         GROUP BY po_id
@@ -54,8 +74,8 @@ router.get('/', async (req, res) => {
         ROUND(
           SUM(total_received) / NULLIF(SUM(total_ordered), 0), 3
         ) as fulfillment_rate,
-        SUM(total_cost) as total_value,
-        ROUND(AVG(total_cost), 2) as avg_cost
+        CAST(SUM(total_cost) AS DECIMAL(15,3)) as total_value,
+        CAST(AVG(total_cost) AS DECIMAL(15,3)) as avg_cost
       FROM po_totals
     `, params);
 
@@ -78,22 +98,24 @@ router.get('/', async (req, res) => {
           vendor,
           date,
           status,
-          COUNT(DISTINCT product_id) as total_items,
+          receiving_status,
+          COUNT(DISTINCT pid) as total_items,
           SUM(ordered) as total_quantity,
-          SUM(ordered * cost_price) as total_cost,
+          CAST(SUM(ordered * cost_price) AS DECIMAL(15,3)) as total_cost,
           SUM(received) as total_received,
           ROUND(
             SUM(received) / NULLIF(SUM(ordered), 0), 3
           ) as fulfillment_rate
         FROM purchase_orders po
         WHERE ${whereClause}
-        GROUP BY po_id, vendor, date, status
+        GROUP BY po_id, vendor, date, status, receiving_status
       )
       SELECT 
         po_id as id,
         vendor as vendor_name,
         DATE_FORMAT(date, '%Y-%m-%d') as order_date,
         status,
+        receiving_status,
         total_items,
         total_quantity,
         total_cost,
@@ -104,8 +126,8 @@ router.get('/', async (req, res) => {
         CASE 
           WHEN ? = 'order_date' THEN date
           WHEN ? = 'vendor_name' THEN vendor
-          WHEN ? = 'total_cost' THEN CAST(total_cost AS DECIMAL(15,2))
-          WHEN ? = 'total_received' THEN CAST(total_received AS DECIMAL(15,2))
+          WHEN ? = 'total_cost' THEN CAST(total_cost AS DECIMAL(15,3))
+          WHEN ? = 'total_received' THEN CAST(total_received AS DECIMAL(15,3))
           WHEN ? = 'total_items' THEN CAST(total_items AS SIGNED)
           WHEN ? = 'total_quantity' THEN CAST(total_quantity AS SIGNED)
           WHEN ? = 'fulfillment_rate' THEN CAST(fulfillment_rate AS DECIMAL(5,3))
@@ -127,7 +149,7 @@ router.get('/', async (req, res) => {
     const [statuses] = await pool.query(`
       SELECT DISTINCT status 
       FROM purchase_orders 
-      WHERE status IS NOT NULL AND status != ''
+      WHERE status IS NOT NULL
       ORDER BY status
     `);
 
@@ -136,7 +158,8 @@ router.get('/', async (req, res) => {
       id: order.id,
       vendor_name: order.vendor_name,
       order_date: order.order_date,
-      status: order.status,
+      status: Number(order.status),
+      receiving_status: Number(order.receiving_status),
       total_items: Number(order.total_items) || 0,
       total_quantity: Number(order.total_quantity) || 0,
       total_cost: Number(order.total_cost) || 0,
@@ -165,7 +188,7 @@ router.get('/', async (req, res) => {
       },
       filters: {
         vendors: vendors.map(v => v.vendor),
-        statuses: statuses.map(s => s.status)
+        statuses: statuses.map(s => Number(s.status))
       }
     });
   } catch (error) {
@@ -188,12 +211,14 @@ router.get('/vendor-metrics', async (req, res) => {
           received,
           cost_price,
           CASE 
-            WHEN status = 'received' AND received_date IS NOT NULL AND date IS NOT NULL
+            WHEN status >= ${STATUS.RECEIVING_STARTED} AND receiving_status >= ${RECEIVING_STATUS.PARTIAL_RECEIVED}
+            AND received_date IS NOT NULL AND date IS NOT NULL
             THEN DATEDIFF(received_date, date)
             ELSE NULL
           END as delivery_days
         FROM purchase_orders
         WHERE vendor IS NOT NULL AND vendor != ''
+          AND status != ${STATUS.CANCELED}  -- Exclude canceled orders
       )
       SELECT 
         vendor as vendor_name,
@@ -203,10 +228,10 @@ router.get('/vendor-metrics', async (req, res) => {
         ROUND(
           SUM(received) / NULLIF(SUM(ordered), 0), 3
         ) as fulfillment_rate,
-        ROUND(
+        CAST(ROUND(
           SUM(ordered * cost_price) / NULLIF(SUM(ordered), 0), 2
-        ) as avg_unit_cost,
-        SUM(ordered * cost_price) as total_spend,
+        ) AS DECIMAL(15,3)) as avg_unit_cost,
+        CAST(SUM(ordered * cost_price) AS DECIMAL(15,3)) as total_spend,
         ROUND(
           AVG(NULLIF(delivery_days, 0)), 1
         ) as avg_delivery_days
@@ -242,47 +267,47 @@ router.get('/cost-analysis', async (req, res) => {
     const pool = req.app.locals.pool;
     
     const [analysis] = await pool.query(`
+      WITH category_costs AS (
+        SELECT 
+          c.name as category,
+          po.pid,
+          po.cost_price,
+          po.ordered,
+          po.received,
+          po.status,
+          po.receiving_status
+        FROM purchase_orders po
+        JOIN product_categories pc ON po.pid = pc.pid
+        JOIN categories c ON pc.cat_id = c.cat_id
+        WHERE po.status != ${STATUS.CANCELED}  -- Exclude canceled orders
+      )
       SELECT 
-        c.name as categories,
-        COUNT(DISTINCT po.product_id) as unique_products,
-        ROUND(AVG(po.cost_price), 2) as avg_cost,
-        MIN(po.cost_price) as min_cost,
-        MAX(po.cost_price) as max_cost,
-        ROUND(
-          STDDEV(po.cost_price), 2
-        ) as cost_variance,
-        SUM(po.ordered * po.cost_price) as total_spend
-      FROM purchase_orders po
-      JOIN products p ON po.product_id = p.product_id
-      JOIN product_categories pc ON p.product_id = pc.product_id
-      JOIN categories c ON pc.category_id = c.id
-      GROUP BY c.name
+        category,
+        COUNT(DISTINCT pid) as unique_products,
+        CAST(AVG(cost_price) AS DECIMAL(15,3)) as avg_cost,
+        CAST(MIN(cost_price) AS DECIMAL(15,3)) as min_cost,
+        CAST(MAX(cost_price) AS DECIMAL(15,3)) as max_cost,
+        CAST(STDDEV(cost_price) AS DECIMAL(15,3)) as cost_variance,
+        CAST(SUM(ordered * cost_price) AS DECIMAL(15,3)) as total_spend
+      FROM category_costs
+      GROUP BY category
       ORDER BY total_spend DESC
     `);
 
-    // Parse numeric values and add ids for React keys
-    const parsedAnalysis = analysis.map(item => ({
-      id: item.categories || 'Uncategorized',
-      categories: item.categories || 'Uncategorized',
-      unique_products: Number(item.unique_products) || 0,
-      avg_cost: Number(item.avg_cost) || 0,
-      min_cost: Number(item.min_cost) || 0,
-      max_cost: Number(item.max_cost) || 0,
-      cost_variance: Number(item.cost_variance) || 0,
-      total_spend: Number(item.total_spend) || 0
-    }));
-
-    // Transform the data with parsed values
-    const transformedAnalysis = {
-      ...parsedAnalysis[0],
-      total_spend_by_category: parsedAnalysis.map(item => ({
-        id: item.categories,
-        category: item.categories,
-        total_spend: Number(item.total_spend)
+    // Parse numeric values
+    const parsedAnalysis = {
+      categories: analysis.map(cat => ({
+        category: cat.category,
+        unique_products: Number(cat.unique_products) || 0,
+        avg_cost: Number(cat.avg_cost) || 0,
+        min_cost: Number(cat.min_cost) || 0,
+        max_cost: Number(cat.max_cost) || 0,
+        cost_variance: Number(cat.cost_variance) || 0,
+        total_spend: Number(cat.total_spend) || 0
       }))
     };
 
-    res.json(transformedAnalysis);
+    res.json(parsedAnalysis);
   } catch (error) {
     console.error('Error fetching cost analysis:', error);
     res.status(500).json({ error: 'Failed to fetch cost analysis' });
@@ -298,11 +323,14 @@ router.get('/receiving-status', async (req, res) => {
       WITH po_totals AS (
         SELECT 
           po_id,
+          status,
+          receiving_status,
           SUM(ordered) as total_ordered,
           SUM(received) as total_received,
-          SUM(ordered * cost_price) as total_cost
+          CAST(SUM(ordered * cost_price) AS DECIMAL(15,3)) as total_cost
         FROM purchase_orders
-        GROUP BY po_id
+        WHERE status != ${STATUS.CANCELED}
+        GROUP BY po_id, status, receiving_status
       )
       SELECT 
         COUNT(DISTINCT po_id) as order_count,
@@ -311,8 +339,20 @@ router.get('/receiving-status', async (req, res) => {
         ROUND(
           SUM(total_received) / NULLIF(SUM(total_ordered), 0), 3
         ) as fulfillment_rate,
-        SUM(total_cost) as total_value,
-        ROUND(AVG(total_cost), 2) as avg_cost
+        CAST(SUM(total_cost) AS DECIMAL(15,3)) as total_value,
+        CAST(AVG(total_cost) AS DECIMAL(15,3)) as avg_cost,
+        COUNT(DISTINCT CASE 
+          WHEN receiving_status = ${RECEIVING_STATUS.CREATED} THEN po_id 
+          END) as pending_count,
+        COUNT(DISTINCT CASE 
+          WHEN receiving_status = ${RECEIVING_STATUS.PARTIAL_RECEIVED} THEN po_id 
+          END) as partial_count,
+        COUNT(DISTINCT CASE 
+          WHEN receiving_status >= ${RECEIVING_STATUS.FULL_RECEIVED} THEN po_id 
+          END) as completed_count,
+        COUNT(DISTINCT CASE 
+          WHEN receiving_status = ${RECEIVING_STATUS.CANCELED} THEN po_id 
+          END) as canceled_count
       FROM po_totals
     `);
 
@@ -323,7 +363,13 @@ router.get('/receiving-status', async (req, res) => {
       total_received: Number(status[0].total_received) || 0,
       fulfillment_rate: Number(status[0].fulfillment_rate) || 0,
       total_value: Number(status[0].total_value) || 0,
-      avg_cost: Number(status[0].avg_cost) || 0
+      avg_cost: Number(status[0].avg_cost) || 0,
+      status_breakdown: {
+        pending: Number(status[0].pending_count) || 0,
+        partial: Number(status[0].partial_count) || 0,
+        completed: Number(status[0].completed_count) || 0,
+        canceled: Number(status[0].canceled_count) || 0
+      }
     };
 
     res.json(parsedStatus);

inventory-server/src/routes/vendors.js

@@ -29,8 +29,8 @@ router.get('/', async (req, res) => {
     const [costMetrics] = await pool.query(`
       SELECT 
         vendor,
-        ROUND(SUM(ordered * cost_price) / NULLIF(SUM(ordered), 0), 2) as avg_unit_cost,
-        SUM(ordered * cost_price) as total_spend
+        CAST(ROUND(SUM(ordered * cost_price) / NULLIF(SUM(ordered), 0), 2) AS DECIMAL(15,3)) as avg_unit_cost,
+        CAST(SUM(ordered * cost_price) AS DECIMAL(15,3)) as total_spend
       FROM purchase_orders
       WHERE status = 'closed'
         AND cost_price IS NOT NULL
@@ -56,9 +56,9 @@ router.get('/', async (req, res) => {
           WHEN COALESCE(vm.total_orders, 0) > 0 AND COALESCE(vm.order_fill_rate, 0) >= 75 
           THEN p.vendor 
         END) as activeVendors,
-        ROUND(AVG(NULLIF(vm.avg_lead_time_days, 0)), 1) as avgLeadTime,
-        ROUND(AVG(NULLIF(vm.order_fill_rate, 0)), 1) as avgFillRate,
-        ROUND(AVG(NULLIF(vm.on_time_delivery_rate, 0)), 1) as avgOnTimeDelivery
+        COALESCE(ROUND(AVG(NULLIF(vm.avg_lead_time_days, 0)), 1), 0) as avgLeadTime,
+        COALESCE(ROUND(AVG(NULLIF(vm.order_fill_rate, 0)), 1), 0) as avgFillRate,
+        COALESCE(ROUND(AVG(NULLIF(vm.on_time_delivery_rate, 0)), 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 != ''
@@ -67,8 +67,8 @@ router.get('/', async (req, res) => {
     // Get overall cost metrics
     const [overallCostMetrics] = await pool.query(`
       SELECT 
-        ROUND(SUM(ordered * cost_price) / NULLIF(SUM(ordered), 0), 2) as avg_unit_cost,
-        SUM(ordered * cost_price) as total_spend
+        CAST(ROUND(SUM(ordered * cost_price) / NULLIF(SUM(ordered), 0), 2) AS DECIMAL(15,3)) as avg_unit_cost,
+        CAST(SUM(ordered * cost_price) AS DECIMAL(15,3)) as total_spend
       FROM purchase_orders
       WHERE status = 'closed'
         AND cost_price IS NOT NULL
@@ -78,25 +78,25 @@ router.get('/', async (req, res) => {
 
     res.json({
       vendors: vendors.map(vendor => ({
-        vendor_id: vendor.vendor_id || vendor.name,
+        vendor_id: vendor.name,
         name: vendor.name,
         status: vendor.status,
-        avg_lead_time_days: parseFloat(vendor.avg_lead_time_days || 0),
-        on_time_delivery_rate: parseFloat(vendor.on_time_delivery_rate || 0),
-        order_fill_rate: parseFloat(vendor.order_fill_rate || 0),
-        total_orders: parseInt(vendor.total_orders || 0),
-        active_products: parseInt(vendor.active_products || 0),
+        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[0].totalVendors || 0),
-        activeVendors: parseInt(stats[0].activeVendors || 0),
-        avgLeadTime: parseFloat(stats[0].avgLeadTime || 0),
-        avgFillRate: parseFloat(stats[0].avgFillRate || 0),
-        avgOnTimeDelivery: parseFloat(stats[0].avgOnTimeDelivery || 0),
-        avgUnitCost: parseFloat(overallCostMetrics[0].avg_unit_cost || 0),
-        totalSpend: parseFloat(overallCostMetrics[0].total_spend || 0)
+        totalVendors: parseInt(stats[0].totalVendors),
+        activeVendors: parseInt(stats[0].activeVendors),
+        avgLeadTime: parseFloat(stats[0].avgLeadTime),
+        avgFillRate: parseFloat(stats[0].avgFillRate),
+        avgOnTimeDelivery: parseFloat(stats[0].avgOnTimeDelivery),
+        avgUnitCost: parseFloat(overallCostMetrics[0].avg_unit_cost),
+        totalSpend: parseFloat(overallCostMetrics[0].total_spend)
       }
     });
   } catch (error) {

inventory-server/src/types/status-codes.js

@@ -0,0 +1,79 @@
+// Purchase Order Status Codes
+const PurchaseOrderStatus = {
+    Canceled: 0,
+    Created: 1,
+    ElectronicallyReadySend: 10,
+    Ordered: 11,
+    Preordered: 12,
+    ElectronicallySent: 13,
+    ReceivingStarted: 15,
+    Done: 50
+};
+
+// Receiving Status Codes
+const ReceivingStatus = {
+    Canceled: 0,
+    Created: 1,
+    PartialReceived: 30,
+    FullReceived: 40,
+    Paid: 50
+};
+
+// Status Code Display Names
+const PurchaseOrderStatusLabels = {
+    [PurchaseOrderStatus.Canceled]: 'Canceled',
+    [PurchaseOrderStatus.Created]: 'Created',
+    [PurchaseOrderStatus.ElectronicallyReadySend]: 'Ready to Send',
+    [PurchaseOrderStatus.Ordered]: 'Ordered',
+    [PurchaseOrderStatus.Preordered]: 'Preordered',
+    [PurchaseOrderStatus.ElectronicallySent]: 'Sent',
+    [PurchaseOrderStatus.ReceivingStarted]: 'Receiving Started',
+    [PurchaseOrderStatus.Done]: 'Done'
+};
+
+const ReceivingStatusLabels = {
+    [ReceivingStatus.Canceled]: 'Canceled',
+    [ReceivingStatus.Created]: 'Created',
+    [ReceivingStatus.PartialReceived]: 'Partially Received',
+    [ReceivingStatus.FullReceived]: 'Fully Received',
+    [ReceivingStatus.Paid]: 'Paid'
+};
+
+// Helper functions
+function getPurchaseOrderStatusLabel(status) {
+    return PurchaseOrderStatusLabels[status] || 'Unknown';
+}
+
+function getReceivingStatusLabel(status) {
+    return ReceivingStatusLabels[status] || 'Unknown';
+}
+
+// Status checks
+function isReceivingComplete(status) {
+    return status >= ReceivingStatus.PartialReceived;
+}
+
+function isPurchaseOrderComplete(status) {
+    return status === PurchaseOrderStatus.Done;
+}
+
+function isPurchaseOrderCanceled(status) {
+    return status === PurchaseOrderStatus.Canceled;
+}
+
+function isReceivingCanceled(status) {
+    return status === ReceivingStatus.Canceled;
+}
+
+module.exports = {
+    PurchaseOrderStatus,
+    ReceivingStatus,
+    PurchaseOrderStatusLabels,
+    ReceivingStatusLabels,
+    getPurchaseOrderStatusLabel,
+    getReceivingStatusLabel,
+    isReceivingComplete,
+    isPurchaseOrderComplete,
+    isPurchaseOrderCanceled,
+    isReceivingCanceled
+}; 

inventory/src/components/analytics/CategoryPerformance.tsx

@@ -6,6 +6,7 @@ import config from '../../config';
 interface CategoryData {
   performance: {
     category: string;
+    categoryPath: string;  // Full hierarchy path
     revenue: number;
     profit: number;
     growth: number;
@@ -13,10 +14,12 @@ interface CategoryData {
   }[];
   distribution: {
     category: string;
+    categoryPath: string;  // Full hierarchy path
     value: number;
   }[];
   trends: {
     category: string;
+    categoryPath: string;  // Full hierarchy path
     month: string;
     sales: number;
   }[];
@@ -36,6 +39,7 @@ export function CategoryPerformance() {
       return {
         performance: rawData.performance.map((item: any) => ({
           ...item,
+          categoryPath: item.categoryPath || item.category,
           revenue: Number(item.revenue) || 0,
           profit: Number(item.profit) || 0,
           growth: Number(item.growth) || 0,
@@ -43,10 +47,12 @@ export function CategoryPerformance() {
         })),
         distribution: rawData.distribution.map((item: any) => ({
           ...item,
+          categoryPath: item.categoryPath || item.category,
           value: Number(item.value) || 0
         })),
         trends: rawData.trends.map((item: any) => ({
           ...item,
+          categoryPath: item.categoryPath || item.category,
           sales: Number(item.sales) || 0
         }))
       };
@@ -63,6 +69,8 @@ export function CategoryPerformance() {
     return <span className={color}>{value}</span>;
   };
 
+  const getShortCategoryName = (path: string) => path.split(' > ').pop() || path;
+
   return (
     <div className="grid gap-4">
       <div className="grid gap-4 md:grid-cols-2">
@@ -76,24 +84,34 @@ export function CategoryPerformance() {
                 <Pie
                   data={data.distribution}
                   dataKey="value"
-                  nameKey="category"
+                  nameKey="categoryPath"
                   cx="50%"
                   cy="50%"
                   outerRadius={100}
                   fill="#8884d8"
-                  label={(entry) => entry.category}
+                  label={({ categoryPath }) => getShortCategoryName(categoryPath)}
                 >
                   {data.distribution.map((entry, index) => (
                     <Cell 
-                      key={entry.category} 
+                      key={`${entry.category}-${entry.value}-${index}`}
                       fill={COLORS[index % COLORS.length]} 
                     />
                   ))}
                 </Pie>
                 <Tooltip 
-                  formatter={(value: number) => [`$${value.toLocaleString()}`, 'Revenue']}
+                  formatter={(value: number, name: string, props: any) => [
+                    `$${value.toLocaleString()}`,
+                    <div key="tooltip">
+                      <div className="font-medium">Category Path:</div>
+                      <div className="text-sm text-muted-foreground">{props.payload.categoryPath}</div>
+                      <div className="mt-1">Revenue</div>
+                    </div>
+                  ]}
+                />
+                <Legend 
+                  formatter={(value) => getShortCategoryName(value)} 
+                  wrapperStyle={{ fontSize: '12px' }}
                 />
-                <Legend />
               </PieChart>
             </ResponsiveContainer>
           </CardContent>
@@ -106,10 +124,33 @@ export function CategoryPerformance() {
           <CardContent>
             <ResponsiveContainer width="100%" height={300}>
               <BarChart data={data.performance}>
-                <XAxis dataKey="category" />
+                <XAxis 
+                  dataKey="categoryPath"
+                  tick={({ x, y, payload }) => (
+                    <g transform={`translate(${x},${y})`}>
+                      <text
+                        x={0}
+                        y={0}
+                        dy={16}
+                        textAnchor="end"
+                        fill="#888888"
+                        transform="rotate(-35)"
+                      >
+                        {getShortCategoryName(payload.value)}
+                      </text>
+                    </g>
+                  )}
+                />
                 <YAxis tickFormatter={(value) => `${value}%`} />
                 <Tooltip 
-                  formatter={(value: number) => [`${value.toFixed(1)}%`, 'Growth Rate']}
+                  formatter={(value: number, name: string, props: any) => [
+                    `${value.toFixed(1)}%`,
+                    <div key="tooltip">
+                      <div className="font-medium">Category Path:</div>
+                      <div className="text-sm text-muted-foreground">{props.payload.categoryPath}</div>
+                      <div className="mt-1">Growth Rate</div>
+                    </div>
+                  ]}
                 />
                 <Bar 
                   dataKey="growth" 
@@ -129,10 +170,13 @@ export function CategoryPerformance() {
         <CardContent>
           <div className="space-y-4">
             {data.performance.map((category) => (
-              <div key={category.category} className="flex items-center">
+              <div key={`${category.category}-${category.revenue}`} className="flex items-center">
                 <div className="flex-1">
-                  <p className="text-sm font-medium">{category.category}</p>
-                  <p className="text-sm text-muted-foreground">
+                  <div className="space-y-1">
+                    <p className="text-sm font-medium">{getShortCategoryName(category.categoryPath)}</p>
+                    <p className="text-xs text-muted-foreground">{category.categoryPath}</p>
+                  </div>
+                  <p className="text-sm text-muted-foreground mt-1">
                     {category.productCount} products
                   </p>
                 </div>

inventory/src/components/analytics/PriceAnalysis.tsx

@@ -154,7 +154,7 @@ export function PriceAnalysis() {
         <CardContent>
           <div className="space-y-4">
             {data.recommendations.map((item) => (
-              <div key={item.product} className="flex items-center">
+              <div key={`${item.product}-${item.currentPrice}`} className="flex items-center">
                 <div className="flex-1">
                   <p className="text-sm font-medium">{item.product}</p>
                   <p className="text-sm text-muted-foreground">

inventory/src/components/analytics/ProfitAnalysis.tsx

@@ -6,6 +6,7 @@ import config from '../../config';
 interface ProfitData {
   byCategory: {
     category: string;
+    categoryPath: string;  // Full hierarchy path
     profitMargin: number;
     revenue: number;
     cost: number;
@@ -18,6 +19,8 @@ interface ProfitData {
   }[];
   topProducts: {
     product: string;
+    category: string;
+    categoryPath: string;  // Full hierarchy path
     profitMargin: number;
     revenue: number;
     cost: number;
@@ -36,6 +39,7 @@ export function ProfitAnalysis() {
       return {
         byCategory: rawData.byCategory.map((item: any) => ({
           ...item,
+          categoryPath: item.categoryPath || item.category,
           profitMargin: Number(item.profitMargin) || 0,
           revenue: Number(item.revenue) || 0,
           cost: Number(item.cost) || 0
@@ -48,6 +52,7 @@ export function ProfitAnalysis() {
         })),
         topProducts: rawData.topProducts.map((item: any) => ({
           ...item,
+          categoryPath: item.categoryPath || item.category,
           profitMargin: Number(item.profitMargin) || 0,
           revenue: Number(item.revenue) || 0,
           cost: Number(item.cost) || 0
@@ -60,6 +65,8 @@ export function ProfitAnalysis() {
     return <div>Loading profit analysis...</div>;
   }
 
+  const getShortCategoryName = (path: string) => path.split(' > ').pop() || path;
+
   return (
     <div className="grid gap-4">
       <div className="grid gap-4 md:grid-cols-2">
@@ -70,10 +77,33 @@ export function ProfitAnalysis() {
           <CardContent>
             <ResponsiveContainer width="100%" height={300}>
               <BarChart data={data.byCategory}>
-                <XAxis dataKey="category" />
+                <XAxis 
+                  dataKey="categoryPath" 
+                  tick={({ x, y, payload }) => (
+                    <g transform={`translate(${x},${y})`}>
+                      <text
+                        x={0}
+                        y={0}
+                        dy={16}
+                        textAnchor="end"
+                        fill="#888888"
+                        transform="rotate(-35)"
+                      >
+                        {getShortCategoryName(payload.value)}
+                      </text>
+                    </g>
+                  )}
+                />
                 <YAxis tickFormatter={(value) => `${value}%`} />
                 <Tooltip 
-                  formatter={(value: number) => [`${value.toFixed(1)}%`, 'Profit Margin']}
+                  formatter={(value: number, name: string, props: any) => [
+                    `${value.toFixed(1)}%`,
+                    <div key="tooltip">
+                      <div className="font-medium">Category Path:</div>
+                      <div className="text-sm text-muted-foreground">{props.payload.categoryPath}</div>
+                      <div className="mt-1">Profit Margin</div>
+                    </div>
+                  ]}
                 />
                 <Bar 
                   dataKey="profitMargin" 
@@ -120,10 +150,14 @@ export function ProfitAnalysis() {
         <CardContent>
           <div className="space-y-4">
             {data.topProducts.map((product) => (
-              <div key={product.product} className="flex items-center">
+              <div key={`${product.product}-${product.category}`} className="flex items-center">
                 <div className="flex-1">
                   <p className="text-sm font-medium">{product.product}</p>
-                  <p className="text-sm text-muted-foreground">
+                  <div className="text-xs text-muted-foreground space-y-1">
+                    <p className="font-medium">Category:</p>
+                    <p>{product.categoryPath}</p>
+                  </div>
+                  <p className="text-sm text-muted-foreground mt-1">
                     Revenue: ${product.revenue.toLocaleString()}
                   </p>
                 </div>

inventory/src/components/analytics/StockAnalysis.tsx

@@ -145,7 +145,7 @@ export function StockAnalysis() {
         <CardContent>
           <div className="space-y-4">
             {data.criticalItems.map((item) => (
-              <div key={item.sku} className="flex items-center">
+              <div key={`${item.sku}-${item.product}`} className="flex items-center">
                 <div className="flex-1">
                   <div className="flex items-center gap-2">
                     <p className="text-sm font-medium">{item.product}</p>

inventory/src/components/analytics/VendorPerformance.tsx

@@ -131,7 +131,7 @@ export function VendorPerformance() {
         <CardContent>
           <div className="space-y-4">
             {data.performance.map((vendor) => (
-              <div key={vendor.vendor} className="flex items-center">
+              <div key={`${vendor.vendor}-${vendor.salesVolume}`} className="flex items-center">
                 <div className="flex-1">
                   <p className="text-sm font-medium">{vendor.vendor}</p>
                   <p className="text-sm text-muted-foreground">

inventory/src/components/dashboard/BestSellers.tsx

@@ -6,37 +6,46 @@ import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"
 import config from "@/config"
 import { formatCurrency } from "@/lib/utils"
 
-interface BestSellerProduct {
-  product_id: number
-  sku: string
-  title: string
-  units_sold: number
-  revenue: number
-  profit: number
-  growth_rate: number
+interface Product {
+  pid: number;
+  sku: string;
+  title: string;
+  units_sold: number;
+  revenue: string;
+  profit: string;
+}
+
+interface Category {
+  cat_id: number;
+  name: string;
+  categoryPath: string;
+  units_sold: number;
+  revenue: string;
+  profit: string;
+  growth_rate: string;
 }
 
 interface BestSellerBrand {
   brand: string
   units_sold: number
-  revenue: number
-  profit: number
-  growth_rate: number
+  revenue: string
+  profit: string
+  growth_rate: string
 }
 
 interface BestSellerCategory {
-  category_id: number
-  name: string
-  units_sold: number
-  revenue: number
-  profit: number
-  growth_rate: number
+  cat_id: number;
+  name: string;
+  units_sold: number;
+  revenue: string;
+  profit: string;
+  growth_rate: string;
 }
 
 interface BestSellersData {
-  products: BestSellerProduct[]
+  products: Product[]
   brands: BestSellerBrand[]
-  categories: BestSellerCategory[]
+  categories: Category[]
 }
 
 export function BestSellers() {
@@ -70,41 +79,29 @@ export function BestSellers() {
               <Table>
                 <TableHeader>
                   <TableRow>
-                    <TableHead className="w-[40%]">Product</TableHead>
-                    <TableHead className="w-[15%] text-right">Sales</TableHead>
-                    <TableHead className="w-[15%] text-right">Revenue</TableHead>
-                    <TableHead className="w-[15%] text-right">Profit</TableHead>
-                    <TableHead className="w-[15%] text-right">Growth</TableHead>
+                    <TableHead>Product</TableHead>
+                    <TableHead className="text-right">Units Sold</TableHead>
+                    <TableHead className="text-right">Revenue</TableHead>
+                    <TableHead className="text-right">Profit</TableHead>
                   </TableRow>
                 </TableHeader>
                 <TableBody>
                   {data?.products.map((product) => (
-                    <TableRow key={product.product_id}>
-                      <TableCell className="w-[40%]">
-                        <div>
-                          <a
-                            href={`https://backend.acherryontop.com/product/${product.product_id}`}
-                            target="_blank"
-                            rel="noopener noreferrer"
-                            className="font-medium hover:underline"
-                          >
-                            {product.title}
-                          </a>
-                          <p className="text-sm text-muted-foreground">{product.sku}</p>
-                        </div>
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {product.units_sold.toLocaleString()}
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {formatCurrency(product.revenue)}
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {formatCurrency(product.profit)}
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {product.growth_rate > 0 ? '+' : ''}{product.growth_rate.toFixed(1)}%
+                    <TableRow key={product.pid}>
+                      <TableCell>
+                        <a
+                          href={`https://backend.acherryontop.com/product/${product.pid}`}
+                          target="_blank"
+                          rel="noopener noreferrer"
+                          className="hover:underline"
+                        >
+                          {product.title}
+                        </a>
+                        <div className="text-sm text-muted-foreground">{product.sku}</div>
                       </TableCell>
+                      <TableCell className="text-right">{product.units_sold}</TableCell>
+                      <TableCell className="text-right">{formatCurrency(Number(product.revenue))}</TableCell>
+                      <TableCell className="text-right">{formatCurrency(Number(product.profit))}</TableCell>
                     </TableRow>
                   ))}
                 </TableBody>
@@ -134,13 +131,13 @@ export function BestSellers() {
                         {brand.units_sold.toLocaleString()}
                       </TableCell>
                       <TableCell className="w-[15%] text-right">
-                        {formatCurrency(brand.revenue)}
+                        {formatCurrency(Number(brand.revenue))}
                       </TableCell>
                       <TableCell className="w-[15%] text-right">
-                        {formatCurrency(brand.profit)}
+                        {formatCurrency(Number(brand.profit))}
                       </TableCell>
                       <TableCell className="w-[15%] text-right">
-                        {brand.growth_rate > 0 ? '+' : ''}{brand.growth_rate.toFixed(1)}%
+                        {Number(brand.growth_rate) > 0 ? '+' : ''}{Number(brand.growth_rate).toFixed(1)}%
                       </TableCell>
                     </TableRow>
                   ))}
@@ -154,31 +151,26 @@ export function BestSellers() {
               <Table>
                 <TableHeader>
                   <TableRow>
-                    <TableHead className="w-[40%]">Category</TableHead>
-                    <TableHead className="w-[15%] text-right">Sales</TableHead>
-                    <TableHead className="w-[15%] text-right">Revenue</TableHead>
-                    <TableHead className="w-[15%] text-right">Profit</TableHead>
-                    <TableHead className="w-[15%] text-right">Growth</TableHead>
+                    <TableHead>Category</TableHead>
+                    <TableHead className="text-right">Units Sold</TableHead>
+                    <TableHead className="text-right">Revenue</TableHead>
+                    <TableHead className="text-right">Profit</TableHead>
                   </TableRow>
                 </TableHeader>
                 <TableBody>
                   {data?.categories.map((category) => (
-                    <TableRow key={category.category_id}>
-                      <TableCell className="w-[40%]">
-                        <p className="font-medium">{category.name}</p>
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {category.units_sold.toLocaleString()}
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {formatCurrency(category.revenue)}
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {formatCurrency(category.profit)}
-                      </TableCell>
-                      <TableCell className="w-[15%] text-right">
-                        {category.growth_rate > 0 ? '+' : ''}{category.growth_rate.toFixed(1)}%
+                    <TableRow key={category.cat_id}>
+                      <TableCell>
+                        <div className="font-medium">{category.name}</div>
+                        {category.categoryPath && (
+                          <div className="text-sm text-muted-foreground">
+                            {category.categoryPath}
+                          </div>
+                        )}
                       </TableCell>
+                      <TableCell className="text-right">{category.units_sold}</TableCell>
+                      <TableCell className="text-right">{formatCurrency(Number(category.revenue))}</TableCell>
+                      <TableCell className="text-right">{formatCurrency(Number(category.profit))}</TableCell>
                     </TableRow>
                   ))}
                 </TableBody>

inventory/src/components/dashboard/ForecastMetrics.tsx

@@ -11,18 +11,18 @@ import { DateRangePicker } from "@/components/ui/date-range-picker-narrow"
 
 interface ForecastData {
   forecastSales: number
-  forecastRevenue: number
+  forecastRevenue: string
   confidenceLevel: number
   dailyForecasts: {
     date: string
     units: number
-    revenue: number
+    revenue: string
     confidence: number
   }[]
   categoryForecasts: {
     category: string
     units: number
-    revenue: number
+    revenue: string
     confidence: number
   }[]
 }
@@ -86,7 +86,7 @@ export function ForecastMetrics() {
                   <DollarSign className="h-4 w-4 text-muted-foreground" />
                   <p className="text-sm font-medium text-muted-foreground">Forecast Revenue</p>
                 </div>
-                <p className="text-lg font-bold">{formatCurrency(data?.forecastRevenue || 0)}</p>
+                <p className="text-lg font-bold">{formatCurrency(Number(data?.forecastRevenue) || 0)}</p>
               </div>
             </div>
 
@@ -108,7 +108,7 @@ export function ForecastMetrics() {
                     tick={false}
                   />
                   <Tooltip
-                    formatter={(value: number) => [formatCurrency(value), "Revenue"]}
+                    formatter={(value: string) => [formatCurrency(Number(value)), "Revenue"]}
                     labelFormatter={(date) => format(new Date(date), 'MMM d, yyyy')}
                   />
                   <Area

inventory/src/components/dashboard/InventoryStats.tsx

@@ -13,11 +13,11 @@ interface InventoryMetrics {
   topVendors: {
     vendor: string;
     productCount: number;
-    averageStockLevel: number;
+    averageStockLevel: string;
   }[];
   stockTurnover: {
     category: string;
-    rate: number;
+    rate: string;
   }[];
 }
 
@@ -70,7 +70,7 @@ export function InventoryStats() {
               <BarChart data={data?.stockTurnover}>
                 <XAxis dataKey="category" />
                 <YAxis />
-                <Tooltip />
+                <Tooltip formatter={(value: string) => [Number(value).toFixed(2), "Rate"]} />
                 <Bar dataKey="rate" name="Turnover Rate" fill="#60a5fa" />
               </BarChart>
             </ResponsiveContainer>
@@ -93,7 +93,7 @@ export function InventoryStats() {
                 </div>
                 <div className="ml-4 text-right">
                   <p className="text-sm font-medium">
-                    Avg. Stock: {vendor.averageStockLevel.toFixed(0)}
+                    Avg. Stock: {Number(vendor.averageStockLevel).toFixed(0)}
                   </p>
                 </div>
               </div>

inventory/src/components/dashboard/LowStockAlerts.tsx

@@ -12,19 +12,20 @@ import { Badge } from "@/components/ui/badge"
 import { AlertCircle, AlertTriangle } from "lucide-react"
 import config from "@/config"
 
-interface LowStockProduct {
-  product_id: number
-  SKU: string
-  title: string
-  stock_quantity: number
-  reorder_qty: number
-  days_of_inventory: number
-  stock_status: "Critical" | "Reorder"
-  daily_sales_avg: number
+interface Product {
+  pid: number;
+  sku: string;
+  title: string;
+  stock_quantity: number;
+  daily_sales_avg: string;
+  days_of_inventory: string;
+  reorder_qty: number;
+  last_purchase_date: string | null;
+  lead_time_status: string;
 }
 
 export function LowStockAlerts() {
-  const { data: products } = useQuery<LowStockProduct[]>({
+  const { data: products } = useQuery<Product[]>({
     queryKey: ["low-stock"],
     queryFn: async () => {
       const response = await fetch(`${config.apiUrl}/dashboard/low-stock/products`)
@@ -45,35 +46,37 @@ export function LowStockAlerts() {
           <Table>
             <TableHeader>
               <TableRow>
-                <TableHead>SKU</TableHead>
                 <TableHead>Product</TableHead>
                 <TableHead className="text-right">Stock</TableHead>
-                <TableHead className="text-right">Status</TableHead>
+                <TableHead className="text-right">Daily Sales</TableHead>
+                <TableHead className="text-right">Days Left</TableHead>
+                <TableHead className="text-right">Reorder Qty</TableHead>
+                <TableHead>Last Purchase</TableHead>
+                <TableHead>Lead Time</TableHead>
               </TableRow>
             </TableHeader>
             <TableBody>
               {products?.map((product) => (
-                <TableRow key={product.product_id}>
-                  <TableCell className="font-medium">{product.SKU}</TableCell>
-                  <TableCell>{product.title}</TableCell>
-                  <TableCell className="text-right">
-                    {product.stock_quantity} / {product.reorder_qty}
-                  </TableCell>
-                  <TableCell className="text-right">
-                    <Badge
-                      variant="outline"
-                      className={
-                        product.stock_status === "Critical"
-                          ? "border-destructive text-destructive"
-                          : "border-warning text-warning"
-                      }
+                <TableRow key={product.pid}>
+                  <TableCell>
+                    <a
+                      href={`https://backend.acherryontop.com/product/${product.pid}`}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="hover:underline"
                     >
-                      {product.stock_status === "Critical" ? (
-                        <AlertCircle className="mr-1 h-3 w-3" />
-                      ) : (
-                        <AlertTriangle className="mr-1 h-3 w-3" />
-                      )}
-                      {product.stock_status}
+                      {product.title}
+                    </a>
+                    <div className="text-sm text-muted-foreground">{product.sku}</div>
+                  </TableCell>
+                  <TableCell className="text-right">{product.stock_quantity}</TableCell>
+                  <TableCell className="text-right">{Number(product.daily_sales_avg).toFixed(1)}</TableCell>
+                  <TableCell className="text-right">{Number(product.days_of_inventory).toFixed(1)}</TableCell>
+                  <TableCell className="text-right">{product.reorder_qty}</TableCell>
+                  <TableCell>{product.last_purchase_date ? formatDate(product.last_purchase_date) : '-'}</TableCell>
+                  <TableCell>
+                    <Badge variant={getLeadTimeVariant(product.lead_time_status)}>
+                      {product.lead_time_status}
                     </Badge>
                   </TableCell>
                 </TableRow>

inventory/src/components/dashboard/PurchaseMetrics.tsx

@@ -5,13 +5,14 @@ import config from "@/config"
 import { formatCurrency } from "@/lib/utils"
 import { ClipboardList, AlertCircle, Layers, DollarSign, ShoppingCart } from "lucide-react" // Importing icons
 import { useState } from "react"
+import { PurchaseOrderStatus, ReceivingStatus } from "@/types/status-codes"
 
 interface PurchaseMetricsData {
-  activePurchaseOrders: number
-  overduePurchaseOrders: number
-  onOrderUnits: number
-  onOrderCost: number
-  onOrderRetail: number
+  activePurchaseOrders: number  // Orders that are not canceled, done, or fully received
+  overduePurchaseOrders: number // Orders past their expected delivery date
+  onOrderUnits: number         // Total units across all active orders
+  onOrderCost: number          // Total cost across all active orders
+  onOrderRetail: number        // Total retail value across all active orders
   vendorOrders: {
     vendor: string
     orders: number

inventory/src/components/dashboard/SalesMetrics.tsx

@@ -12,13 +12,13 @@ import { DateRangePicker } from "@/components/ui/date-range-picker-narrow"
 interface SalesData {
   totalOrders: number
   totalUnitsSold: number
-  totalCogs: number
-  totalRevenue: number
+  totalCogs: string
+  totalRevenue: string
   dailySales: {
     date: string
     units: number
-    revenue: number
-    cogs: number
+    revenue: string
+    cogs: string
   }[]
 }
 
@@ -78,14 +78,14 @@ export function SalesMetrics() {
               <DollarSign className="h-4 w-4 text-muted-foreground" />
               <p className="text-sm font-medium text-muted-foreground">Cost of Goods</p>
             </div>
-            <p className="text-lg font-bold">{formatCurrency(data?.totalCogs || 0)}</p>
+            <p className="text-lg font-bold">{formatCurrency(Number(data?.totalCogs) || 0)}</p>
           </div>
           <div className="flex items-baseline justify-between">
             <div className="flex items-center gap-2">
               <ShoppingCart className="h-4 w-4 text-muted-foreground" />
               <p className="text-sm font-medium text-muted-foreground">Revenue</p>
             </div>
-            <p className="text-lg font-bold">{formatCurrency(data?.totalRevenue || 0)}</p>
+            <p className="text-lg font-bold">{formatCurrency(Number(data?.totalRevenue) || 0)}</p>
           </div>
         </div>
 
@@ -107,7 +107,7 @@ export function SalesMetrics() {
                 tick={false}
               />
               <Tooltip
-                formatter={(value: number) => [formatCurrency(value), "Revenue"]}
+                formatter={(value: string) => [formatCurrency(Number(value)), "Revenue"]}
                 labelFormatter={(date) => format(new Date(date), 'MMM d, yyyy')}
               />
               <Area

inventory/src/components/dashboard/StockMetrics.tsx

@@ -10,14 +10,14 @@ interface StockMetricsData {
   totalProducts: number
   productsInStock: number
   totalStockUnits: number
-  totalStockCost: number
-  totalStockRetail: number
+  totalStockCost: string
+  totalStockRetail: string
   brandStock: {
     brand: string
     variants: number
     units: number
-    cost: number
-    retail: number
+    cost: string
+    retail: string
   }[]
 }
 
@@ -91,7 +91,7 @@ const renderActiveShape = (props: any) => {
         fill="#000000" 
         className="text-base font-medium"
       >
-        {formatCurrency(retail)}
+        {formatCurrency(Number(retail))}
       </text>
     </g>
   );
@@ -154,14 +154,14 @@ export function StockMetrics() {
                   <DollarSign className="h-4 w-4 text-muted-foreground" />
                   <p className="text-sm font-medium text-muted-foreground">Stock Cost</p>
                 </div>
-                <p className="text-lg font-bold">{formatCurrency(data?.totalStockCost || 0)}</p>
+                <p className="text-lg font-bold">{formatCurrency(Number(data?.totalStockCost) || 0)}</p>
               </div>
               <div className="flex items-baseline justify-between">
                 <div className="flex items-center gap-2">
                   <ShoppingCart className="h-4 w-4 text-muted-foreground" />
                   <p className="text-sm font-medium text-muted-foreground">Stock Retail</p>
                 </div>
-                <p className="text-lg font-bold">{formatCurrency(data?.totalStockRetail || 0)}</p>
+                <p className="text-lg font-bold">{formatCurrency(Number(data?.totalStockRetail) || 0)}</p>
               </div>
             </div>
           </div>

inventory/src/components/dashboard/TopOverstockedProducts.tsx

@@ -5,18 +5,18 @@ import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@
 import config from "@/config"
 import { formatCurrency } from "@/lib/utils"
 
-interface OverstockedProduct {
-  product_id: number
-  SKU: string
-  title: string
-  stock_quantity: number
-  overstocked_amt: number
-  excess_cost: number
-  excess_retail: number
+interface Product {
+  pid: number;
+  sku: string;
+  title: string;
+  stock_quantity: number;
+  overstocked_amt: number;
+  excess_cost: number;
+  excess_retail: number;
 }
 
 export function TopOverstockedProducts() {
-  const { data } = useQuery<OverstockedProduct[]>({
+  const { data } = useQuery<Product[]>({
     queryKey: ["top-overstocked-products"],
     queryFn: async () => {
       const response = await fetch(`${config.apiUrl}/dashboard/overstock/products?limit=50`)
@@ -38,40 +38,30 @@ export function TopOverstockedProducts() {
             <TableHeader>
               <TableRow>
                 <TableHead>Product</TableHead>
-                <TableHead className="text-right">Current Stock</TableHead>
-                <TableHead className="text-right">Overstock Amt</TableHead>
-                <TableHead className="text-right">Overstock Cost</TableHead>
-                <TableHead className="text-right">Overstock Retail</TableHead>
+                <TableHead className="text-right">Stock</TableHead>
+                <TableHead className="text-right">Excess</TableHead>
+                <TableHead className="text-right">Cost</TableHead>
+                <TableHead className="text-right">Retail</TableHead>
               </TableRow>
             </TableHeader>
             <TableBody>
               {data?.map((product) => (
-                <TableRow key={product.product_id}>
+                <TableRow key={product.pid}>
                   <TableCell>
-                    <div>
-                      <a 
-                        href={`https://backend.acherryontop.com/product/${product.product_id}`}
-                        target="_blank"
-                        rel="noopener noreferrer"
-                        className="font-medium hover:underline"
-                      >
-                        {product.title}
-                      </a>
-                      <p className="text-sm text-muted-foreground">{product.SKU}</p>
-                    </div>
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {product.stock_quantity.toLocaleString()}
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {product.overstocked_amt.toLocaleString()}
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {formatCurrency(product.excess_cost)}
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {formatCurrency(product.excess_retail)}
+                    <a
+                      href={`https://backend.acherryontop.com/product/${product.pid}`}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="hover:underline"
+                    >
+                      {product.title}
+                    </a>
+                    <div className="text-sm text-muted-foreground">{product.sku}</div>
                   </TableCell>
+                  <TableCell className="text-right">{product.stock_quantity}</TableCell>
+                  <TableCell className="text-right">{product.overstocked_amt}</TableCell>
+                  <TableCell className="text-right">{formatCurrency(product.excess_cost)}</TableCell>
+                  <TableCell className="text-right">{formatCurrency(product.excess_retail)}</TableCell>
                 </TableRow>
               ))}
             </TableBody>

inventory/src/components/dashboard/TopReplenishProducts.tsx

@@ -3,20 +3,19 @@ import { CardHeader, CardTitle, CardContent } from "@/components/ui/card"
 import { ScrollArea } from "@/components/ui/scroll-area"
 import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@/components/ui/table"
 import config from "@/config"
-import { formatCurrency } from "@/lib/utils"
 
-interface ReplenishProduct {
-  product_id: number
-  SKU: string
-  title: string
-  current_stock: number
-  replenish_qty: number
-  replenish_cost: number
-  replenish_retail: number
+interface Product {
+  pid: number;
+  sku: string;
+  title: string;
+  stock_quantity: number;
+  daily_sales_avg: string;
+  reorder_qty: number;
+  last_purchase_date: string | null;
 }
 
 export function TopReplenishProducts() {
-  const { data } = useQuery<ReplenishProduct[]>({
+  const { data } = useQuery<Product[]>({
     queryKey: ["top-replenish-products"],
     queryFn: async () => {
       const response = await fetch(`${config.apiUrl}/dashboard/replenish/products?limit=50`)
@@ -39,39 +38,29 @@ export function TopReplenishProducts() {
               <TableRow>
                 <TableHead>Product</TableHead>
                 <TableHead className="text-right">Stock</TableHead>
-                <TableHead className="text-right">Replenish</TableHead>
-                <TableHead className="text-right">Cost</TableHead>
-                <TableHead className="text-right">Retail</TableHead>
+                <TableHead className="text-right">Daily Sales</TableHead>
+                <TableHead className="text-right">Reorder Qty</TableHead>
+                <TableHead>Last Purchase</TableHead>
               </TableRow>
             </TableHeader>
             <TableBody>
               {data?.map((product) => (
-                <TableRow key={product.product_id}>
+                <TableRow key={product.pid}>
                   <TableCell>
-                    <div>
-                      <a 
-                        href={`https://backend.acherryontop.com/product/${product.product_id}`}
-                        target="_blank"
-                        rel="noopener noreferrer"
-                        className="font-medium hover:underline"
-                      >
-                        {product.title}
-                      </a>
-                      <p className="text-sm text-muted-foreground">{product.SKU}</p>
-                    </div>
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {product.current_stock.toLocaleString()}
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {product.replenish_qty.toLocaleString()}
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {formatCurrency(product.replenish_cost)}
-                  </TableCell>
-                  <TableCell className="text-right">
-                    {formatCurrency(product.replenish_retail)}
+                    <a
+                      href={`https://backend.acherryontop.com/product/${product.pid}`}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="hover:underline"
+                    >
+                      {product.title}
+                    </a>
+                    <div className="text-sm text-muted-foreground">{product.sku}</div>
                   </TableCell>
+                  <TableCell className="text-right">{product.stock_quantity}</TableCell>
+                  <TableCell className="text-right">{Number(product.daily_sales_avg).toFixed(1)}</TableCell>
+                  <TableCell className="text-right">{product.reorder_qty}</TableCell>
+                  <TableCell>{product.last_purchase_date ? product.last_purchase_date : '-'}</TableCell>
                 </TableRow>
               ))}
             </TableBody>

inventory/src/components/dashboard/TrendingProducts.tsx

@@ -11,18 +11,18 @@ import {
 import { TrendingUp, TrendingDown } from "lucide-react"
 import config from "@/config"
 
-interface TrendingProduct {
-  product_id: number
-  sku: string
-  title: string
-  daily_sales_avg: string
-  weekly_sales_avg: string
-  growth_rate: string
-  total_revenue: string
+interface Product {
+  pid: number;
+  sku: string;
+  title: string;
+  daily_sales_avg: string;
+  weekly_sales_avg: string;
+  growth_rate: string;
+  total_revenue: string;
 }
 
 export function TrendingProducts() {
-  const { data: products } = useQuery<TrendingProduct[]>({
+  const { data: products } = useQuery<Product[]>({
     queryKey: ["trending-products"],
     queryFn: async () => {
       const response = await fetch(`${config.apiUrl}/products/trending`)
@@ -33,7 +33,6 @@ export function TrendingProducts() {
     },
   })
 
-
   const formatPercent = (value: number) =>
     new Intl.NumberFormat("en-US", {
       style: "percent",
@@ -42,6 +41,14 @@ export function TrendingProducts() {
       signDisplay: "exceptZero",
     }).format(value / 100)
 
+  const formatCurrency = (value: number) =>
+    new Intl.NumberFormat("en-US", {
+      style: "currency",
+      currency: "USD",
+      minimumFractionDigits: 2,
+      maximumFractionDigits: 2,
+    }).format(value)
+
   return (
     <>
       <CardHeader>
@@ -59,7 +66,7 @@ export function TrendingProducts() {
             </TableHeader>
             <TableBody>
               {products?.map((product) => (
-                <TableRow key={product.product_id}>
+                <TableRow key={product.pid}>
                   <TableCell className="font-medium">
                     <div className="flex flex-col">
                       <span className="font-medium">{product.title}</span>
@@ -68,20 +75,20 @@ export function TrendingProducts() {
                       </span>
                     </div>
                   </TableCell>
-                  <TableCell>{parseFloat(product.daily_sales_avg).toFixed(1)}</TableCell>
+                  <TableCell>{Number(product.daily_sales_avg).toFixed(1)}</TableCell>
                   <TableCell className="text-right">
                     <div className="flex items-center justify-end gap-1">
-                      {parseFloat(product.growth_rate) > 0 ? (
+                      {Number(product.growth_rate) > 0 ? (
                         <TrendingUp className="h-4 w-4 text-success" />
                       ) : (
                         <TrendingDown className="h-4 w-4 text-destructive" />
                       )}
                       <span
                         className={
-                          parseFloat(product.growth_rate) > 0 ? "text-success" : "text-destructive"
+                          Number(product.growth_rate) > 0 ? "text-success" : "text-destructive"
                         }
                       >
-                        {formatPercent(parseFloat(product.growth_rate))}
+                        {formatPercent(Number(product.growth_rate))}
                       </span>
                     </div>
                   </TableCell>

inventory/src/components/forecasting/columns.tsx

@@ -3,24 +3,27 @@ import { ArrowUpDown, ChevronDown, ChevronRight } from "lucide-react";
 import { Button } from "@/components/ui/button";
 import { ScrollArea } from "@/components/ui/scroll-area";
 import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@/components/ui/table";
-interface ProductDetail {
-  product_id: string;
-  name: string;
+
+interface Product {
+  pid: string;
   sku: string;
+  title: string;
   stock_quantity: number;
-  total_sold: number;
-  avg_price: number;
-  first_received_date: string;
+  daily_sales_avg: number;
+  forecast_units: number;
+  forecast_revenue: number;
+  confidence_level: number;
 }
 
 export interface ForecastItem {
   category: string;
+  categoryPath: string;
   avgDailySales: number;
   totalSold: number;
   numProducts: number;
   avgPrice: number;
   avgTotalSold: number;
-  products?: ProductDetail[];
+  products?: Product[];
 }
 
 export const columns: ColumnDef<ForecastItem>[] = [
@@ -42,6 +45,16 @@ export const columns: ColumnDef<ForecastItem>[] = [
   {
     accessorKey: "category",
     header: "Category",
+    cell: ({ row }) => (
+      <div>
+        <div className="font-medium">{row.original.category}</div>
+        {row.original.categoryPath && (
+          <div className="text-sm text-muted-foreground">
+            {row.original.categoryPath}
+          </div>
+        )}
+      </div>
+    ),
   },
   {
     accessorKey: "avgDailySales",
@@ -147,23 +160,33 @@ export const renderSubComponent = ({ row }: { row: any }) => {
       <Table>
         <TableHeader>
           <TableRow>
-            <TableHead>Product Name</TableHead>
-            <TableHead>SKU</TableHead>
-            <TableHead>First Received</TableHead>
-            <TableHead>Stock Quantity</TableHead>
-            <TableHead>Total Sold</TableHead>
-            <TableHead>Average Price</TableHead>
+            <TableHead>Product</TableHead>
+            <TableHead className="text-right">Stock</TableHead>
+            <TableHead className="text-right">Daily Sales</TableHead>
+            <TableHead className="text-right">Forecast Units</TableHead>
+            <TableHead className="text-right">Forecast Revenue</TableHead>
+            <TableHead className="text-right">Confidence</TableHead>
           </TableRow>
         </TableHeader>
         <TableBody>
-          {products.map((product: ProductDetail) => (
-            <TableRow key={product.product_id}>
-              <TableCell>{product.name}</TableCell>
-              <TableCell>{product.sku}</TableCell>
-              <TableCell>{product.first_received_date}</TableCell>
-              <TableCell>{product.stock_quantity.toLocaleString()}</TableCell>
-              <TableCell>{product.total_sold.toLocaleString()}</TableCell>
-              <TableCell>${product.avg_price.toFixed(2)}</TableCell>
+          {products.map((product) => (
+            <TableRow key={product.pid}>
+              <TableCell>
+                <a
+                  href={`https://backend.acherryontop.com/product/${product.pid}`}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="hover:underline"
+                >
+                  {product.title}
+                </a>
+                <div className="text-sm text-muted-foreground">{product.sku}</div>
+              </TableCell>
+              <TableCell className="text-right">{product.stock_quantity}</TableCell>
+              <TableCell className="text-right">{product.daily_sales_avg.toFixed(1)}</TableCell>
+              <TableCell className="text-right">{product.forecast_units.toFixed(1)}</TableCell>
+              <TableCell className="text-right">{product.forecast_revenue.toFixed(2)}</TableCell>
+              <TableCell className="text-right">{product.confidence_level.toFixed(1)}%</TableCell>
             </TableRow>
           ))}
         </TableBody>

inventory/src/components/products/ProductDetail.tsx

@@ -10,7 +10,7 @@ import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContai
 import config from "@/config";
 
 interface Product {
-  product_id: number;
+  pid: number;
   title: string;
   SKU: string;
   barcode: string;
@@ -38,7 +38,7 @@ interface Product {
   // Vendor info
   vendor: string;
   vendor_reference: string;
-  brand: string;
+  brand: string | 'Unbranded';
   
   // URLs
   permalink: string;
@@ -123,6 +123,8 @@ interface Product {
     notes: string;
     lead_time_days: number | null;
   }>;
+
+  category_paths?: Record<string, string>;
 }
 
 interface ProductDetailProps {
@@ -205,8 +207,8 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                 </div>
               )}
               <div>
-                <h2 className="text-xl font-semibold">{product?.title || 'Loading...'}</h2>
-                <p className="text-sm text-muted-foreground">{product?.SKU || ''}</p>
+                <VaulDrawer.Title className="text-xl font-semibold">{product?.title || 'Loading...'}</VaulDrawer.Title>
+                <VaulDrawer.Description className="text-sm text-muted-foreground">{product?.SKU || ''}</VaulDrawer.Description>
               </div>
             </div>
             <Button variant="ghost" size="icon" onClick={onClose}>
@@ -255,22 +257,28 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Categories</dt>
-                        <dd className="flex flex-wrap gap-2">
-                          {product?.categories?.map(category => (
-                            <span key={category} className="inline-flex items-center rounded-md bg-muted px-2 py-1 text-xs font-medium ring-1 ring-inset ring-muted">
-                              {category}
-                            </span>
-                          )) || "N/A"}
+                        <dd className="flex flex-col gap-2">
+                          {product?.category_paths ? 
+                            Object.entries(product.category_paths).map(([key, fullPath], index) => {
+                              const [, leafCategory] = key.split(':');
+                              return (
+                                <div key={key} className="flex flex-col">
+                                  <span className="inline-flex items-center rounded-md bg-muted px-2 py-1 text-xs font-medium ring-1 ring-inset ring-muted">
+                                    {leafCategory}
+                                  </span>
+                                  <span className="text-xs text-muted-foreground ml-2 mt-1">
+                                    {fullPath}
+                                  </span>
+                                </div>
+                              );
+                            })
+                            : "N/A"}
                         </dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Tags</dt>
                         <dd className="flex flex-wrap gap-2">
-                          {product?.tags?.map(tag => (
-                            <span key={tag} className="inline-flex items-center rounded-md bg-muted px-2 py-1 text-xs font-medium ring-1 ring-inset ring-muted">
-                              {tag}
-                            </span>
-                          )) || "N/A"}
+                          N/A
                         </dd>
                       </div>
                     </dl>
@@ -307,11 +315,11 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Status</dt>
-                        <dd>{product?.metrics?.stock_status}</dd>
+                        <dd>{product?.stock_status || "N/A"}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Days of Stock</dt>
-                        <dd>{product?.metrics?.days_of_inventory} days</dd>
+                        <dd>{product?.days_of_inventory || 0} days</dd>
                       </div>
                     </dl>
                   </Card>
@@ -321,15 +329,15 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                     <dl className="space-y-2">
                       <div>
                         <dt className="text-sm text-muted-foreground">Daily Sales</dt>
-                        <dd>{product?.metrics?.daily_sales_avg?.toFixed(1)} units</dd>
+                        <dd>{product?.daily_sales_avg?.toFixed(1) || "0.0"} units</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Weekly Sales</dt>
-                        <dd>{product?.metrics?.weekly_sales_avg?.toFixed(1)} units</dd>
+                        <dd>{product?.weekly_sales_avg?.toFixed(1) || "0.0"} units</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Monthly Sales</dt>
-                        <dd>{product?.metrics?.monthly_sales_avg?.toFixed(1)} units</dd>
+                        <dd>{product?.monthly_sales_avg?.toFixed(1) || "0.0"} units</dd>
                       </div>
                     </dl>
                   </Card>
@@ -356,19 +364,19 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                     <dl className="space-y-2">
                       <div>
                         <dt className="text-sm text-muted-foreground">Total Revenue</dt>
-                        <dd>${formatPrice(product?.metrics.total_revenue)}</dd>
+                        <dd>${formatPrice(product?.total_revenue)}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Gross Profit</dt>
-                        <dd>${formatPrice(product?.metrics.gross_profit)}</dd>
+                        <dd>${formatPrice(product?.gross_profit)}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Margin</dt>
-                        <dd>{product?.metrics.avg_margin_percent.toFixed(2)}%</dd>
+                        <dd>{product?.avg_margin_percent?.toFixed(2) || "0.00"}%</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">GMROI</dt>
-                        <dd>{product?.metrics.gmroi.toFixed(2)}</dd>
+                        <dd>{product?.gmroi?.toFixed(2) || "0.00"}</dd>
                       </div>
                     </dl>
                   </Card>
@@ -378,15 +386,15 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                     <dl className="space-y-2">
                       <div>
                         <dt className="text-sm text-muted-foreground">Current Lead Time</dt>
-                        <dd>{product?.metrics.current_lead_time}</dd>
+                        <dd>{product?.current_lead_time || "N/A"}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Target Lead Time</dt>
-                        <dd>{product?.metrics.target_lead_time}</dd>
+                        <dd>{product?.target_lead_time || "N/A"}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Lead Time Status</dt>
-                        <dd>{product?.metrics.lead_time_status}</dd>
+                        <dd>{product?.lead_time_status || "N/A"}</dd>
                       </div>
                     </dl>
                   </Card>
@@ -408,11 +416,11 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Days of Inventory</dt>
-                        <dd className="text-2xl font-semibold">{product?.metrics?.days_of_inventory || 0}</dd>
+                        <dd className="text-2xl font-semibold">{product?.days_of_inventory || 0}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Status</dt>
-                        <dd className="text-2xl font-semibold">{product?.metrics?.stock_status || "N/A"}</dd>
+                        <dd className="text-2xl font-semibold">{product?.stock_status || "N/A"}</dd>
                       </div>
                     </dl>
                   </Card>
@@ -422,15 +430,15 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                     <dl className="grid grid-cols-3 gap-4">
                       <div>
                         <dt className="text-sm text-muted-foreground">Reorder Point</dt>
-                        <dd>{product?.metrics?.reorder_point || 0}</dd>
+                        <dd>{product?.reorder_point || 0}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Safety Stock</dt>
-                        <dd>{product?.metrics?.safety_stock || 0}</dd>
+                        <dd>{product?.safety_stock || 0}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">ABC Class</dt>
-                        <dd>{product?.metrics?.abc_class || "N/A"}</dd>
+                        <dd>{product?.abc_class || "N/A"}</dd>
                       </div>
                     </dl>
                   </Card>
@@ -551,15 +559,15 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                     <dl className="grid grid-cols-3 gap-4">
                       <div>
                         <dt className="text-sm text-muted-foreground">Gross Profit</dt>
-                        <dd className="text-2xl font-semibold">${formatPrice(product?.metrics.gross_profit)}</dd>
+                        <dd className="text-2xl font-semibold">${formatPrice(product?.gross_profit)}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">GMROI</dt>
-                        <dd className="text-2xl font-semibold">{product?.metrics.gmroi.toFixed(2)}</dd>
+                        <dd className="text-2xl font-semibold">{product?.gmroi?.toFixed(2) || "0.00"}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Margin %</dt>
-                        <dd className="text-2xl font-semibold">{product?.metrics.avg_margin_percent.toFixed(2)}%</dd>
+                        <dd className="text-2xl font-semibold">{product?.avg_margin_percent?.toFixed(2) || "0.00"}%</dd>
                       </div>
                     </dl>
                   </Card>
@@ -569,7 +577,7 @@ export function ProductDetail({ productId, onClose }: ProductDetailProps) {
                     <dl className="grid grid-cols-2 gap-4">
                       <div>
                         <dt className="text-sm text-muted-foreground">Cost of Goods Sold</dt>
-                        <dd>${formatPrice(product?.metrics.cost_of_goods_sold)}</dd>
+                        <dd>${formatPrice(product?.cost_of_goods_sold)}</dd>
                       </div>
                       <div>
                         <dt className="text-sm text-muted-foreground">Landing Cost</dt>

inventory/src/components/products/ProductFilters.tsx

@@ -24,7 +24,7 @@ type FilterValue = string | number | boolean;
 type ComparisonOperator = "=" | ">" | ">=" | "<" | "<=" | "between";
 
 interface FilterValueWithOperator {
-  value: FilterValue | [number, number];
+  value: FilterValue | [string, string];
   operator: ComparisonOperator;
 }
 
@@ -317,18 +317,32 @@ export function ProductFilters({
     });
   }, []);
 
-  const handleApplyFilter = (value: FilterValue | [number, number]) => {
+  const handleApplyFilter = (value: FilterValue | [string, string]) => {
     if (!selectedFilter) return;
 
-    const newFilters = {
-      ...activeFilters,
-      [selectedFilter.id]: {
-        value,
-        operator: selectedOperator,
-      },
-    };
+    let filterValue: ActiveFilterValue;
+
+    if (selectedFilter.type === "number") {
+      if (selectedOperator === "between" && Array.isArray(value)) {
+        filterValue = {
+          value: [value[0].toString(), value[1].toString()],
+          operator: selectedOperator,
+        };
+      } else {
+        filterValue = {
+          value: value.toString(),
+          operator: selectedOperator,
+        };
+      }
+    } else {
+      filterValue = value;
+    }
+
+    onFilterChange({
+      ...activeFilters,
+      [selectedFilter.id]: filterValue,
+    });
 
-    onFilterChange(newFilters as Record<string, ActiveFilterValue>);
     handlePopoverClose();
   };
 
@@ -394,38 +408,14 @@ export function ProductFilters({
 
 
   const getFilterDisplayValue = (filter: ActiveFilter) => {
-    const filterValue = activeFilters[filter.id];
-    const filterOption = filterOptions.find((opt) => opt.id === filter.id);
-
-    // For between ranges
-    if (Array.isArray(filterValue)) {
-      return `${filter.label} between ${filterValue[0]} and ${filterValue[1]}`;
+    if (typeof filter.value === "object" && "operator" in filter.value) {
+      const { operator, value } = filter.value;
+      if (Array.isArray(value)) {
+        return `${operator} ${value[0]} and ${value[1]}`;
+      }
+      return `${operator} ${value}`;
     }
-
-    // For direct selections (select type) or text search
-    if (
-      filterOption?.type === "select" ||
-      filterOption?.type === "text" ||
-      typeof filterValue !== "object"
-    ) {
-      const value =
-        typeof filterValue === "object" ? filterValue.value : filterValue;
-      return `${filter.label}: ${value}`;
-    }
-
-    // For numeric filters with operators
-    const operator = filterValue.operator;
-    const value = filterValue.value;
-    const operatorDisplay = {
-      "=": "=",
-      ">": ">",
-      ">=": "≥",
-      "<": "<",
-      "<=": "≤",
-      between: "between",
-    }[operator];
-
-    return `${filter.label} ${operatorDisplay} ${value}`;
+    return filter.value.toString();
   };
 
   return (

inventory/src/components/products/ProductTable.tsx

@@ -230,7 +230,7 @@ export function ProductTable({
         return (
           <div className="flex flex-wrap gap-1">
             {Array.from(new Set(value as string[])).map((category) => (
-              <Badge key={`${product.product_id}-${category}`} variant="outline">{category}</Badge>
+              <Badge key={`${product.pid}-${category}`} variant="outline">{category}</Badge>
             )) || '-'}
           </div>
         );
@@ -261,6 +261,11 @@ export function ProductTable({
               return columnDef.format(num);
             }
           }
+          // If the value is already a number, format it directly
+          if (typeof value === 'number') {
+            return columnDef.format(value);
+          }
+          // For other formats (e.g., date formatting), pass the value as is
           return columnDef.format(value);
         }
         return value ?? '-';
@@ -297,12 +302,12 @@ export function ProductTable({
           <TableBody>
             {products.map((product) => (
               <TableRow 
-                key={product.product_id}
+                key={product.pid}
                 onClick={() => onRowClick?.(product)}
                 className="cursor-pointer"
               >
                 {orderedColumns.map((column) => (
-                  <TableCell key={`${product.product_id}-${column}`}>
+                  <TableCell key={`${product.pid}-${column}`}>
                     {formatColumnValue(product, column)}
                   </TableCell>
                 ))}

inventory/src/components/settings/CalculationSettings.tsx

@@ -8,7 +8,7 @@ import config from '../../config';
 
 interface SalesVelocityConfig {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   daily_window_days: number;
   weekly_window_days: number;
@@ -18,7 +18,7 @@ interface SalesVelocityConfig {
 export function CalculationSettings() {
   const [salesVelocityConfig, setSalesVelocityConfig] = useState<SalesVelocityConfig>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     daily_window_days: 30,
     weekly_window_days: 7,

inventory/src/components/settings/Configuration.tsx

@@ -6,10 +6,11 @@ import { Label } from "@/components/ui/label";
 import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
 import { toast } from "sonner";
 import config from '../../config';
+import { Table, TableBody, TableCell, TableHeader, TableRow } from "@/components/ui/table";
 
 interface StockThreshold {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   critical_days: number;
   reorder_days: number;
@@ -22,7 +23,7 @@ interface StockThreshold {
 
 interface LeadTimeThreshold {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   target_days: number;
   warning_days: number;
@@ -31,7 +32,7 @@ interface LeadTimeThreshold {
 
 interface SalesVelocityConfig {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   daily_window_days: number;
   weekly_window_days: number;
@@ -47,7 +48,7 @@ interface ABCClassificationConfig {
 
 interface SafetyStockConfig {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   coverage_days: number;
   service_level: number;
@@ -55,7 +56,7 @@ interface SafetyStockConfig {
 
 interface TurnoverConfig {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   calculation_period_days: number;
   target_rate: number;
@@ -64,7 +65,7 @@ interface TurnoverConfig {
 export function Configuration() {
   const [stockThresholds, setStockThresholds] = useState<StockThreshold>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     critical_days: 7,
     reorder_days: 14,
@@ -75,7 +76,7 @@ export function Configuration() {
 
   const [leadTimeThresholds, setLeadTimeThresholds] = useState<LeadTimeThreshold>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     target_days: 14,
     warning_days: 21,
@@ -84,7 +85,7 @@ export function Configuration() {
 
   const [salesVelocityConfig, setSalesVelocityConfig] = useState<SalesVelocityConfig>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     daily_window_days: 30,
     weekly_window_days: 7,
@@ -100,7 +101,7 @@ export function Configuration() {
 
   const [safetyStockConfig, setSafetyStockConfig] = useState<SafetyStockConfig>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     coverage_days: 14,
     service_level: 95.0
@@ -108,7 +109,7 @@ export function Configuration() {
 
   const [turnoverConfig, setTurnoverConfig] = useState<TurnoverConfig>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     calculation_period_days: 30,
     target_rate: 1.0

inventory/src/components/settings/DataManagement.tsx

@@ -13,7 +13,7 @@ import {
   AlertDialogTitle,
   AlertDialogTrigger,
 } from "@/components/ui/alert-dialog";
-import { Loader2, RefreshCw, Upload, X, Database } from "lucide-react";
+import { Loader2, RefreshCw, X, Database } from "lucide-react";
 import config from '../../config';
 import { toast } from "sonner";
 
@@ -36,34 +36,20 @@ interface ImportProgress {
   duration?: string;
 }
 
-interface ImportLimits {
-  products: number;
-  orders: number;
-  purchaseOrders: number;
-}
 
 export function DataManagement() {
-  const [isUpdating, setIsUpdating] = useState(false);
-  const [isImportingCSV, setIsImportingCSV] = useState(false);
   const [isImportingProd, setIsImportingProd] = useState(false);
   const [isResetting, setIsResetting] = useState(false);
-  const [updateProgress, setUpdateProgress] = useState<ImportProgress | null>(null);
   const [importProgress, setImportProgress] = useState<ImportProgress | null>(null);
   const [purchaseOrdersProgress, setPurchaseOrdersProgress] = useState<ImportProgress | null>(null);
   const [resetProgress, setResetProgress] = useState<ImportProgress | null>(null);
   const [eventSource, setEventSource] = useState<EventSource | null>(null);
-  const [] = useState<ImportLimits>({
-    products: 0,
-    orders: 0,
-    purchaseOrders: 0
-  });
   const [isResettingMetrics, setIsResettingMetrics] = useState(false);
   const [resetMetricsProgress, setResetMetricsProgress] = useState<ImportProgress | null>(null);
   const [isCalculatingMetrics, setIsCalculatingMetrics] = useState(false);
   const [metricsProgress, setMetricsProgress] = useState<ImportProgress | null>(null);
 
   // Add states for completed operations
-  const [lastUpdateStatus, setLastUpdateStatus] = useState<ImportProgress | null>(null);
   const [lastImportStatus, setLastImportStatus] = useState<ImportProgress | null>(null);
   const [lastResetStatus, setLastResetStatus] = useState<ImportProgress | null>(null);
   const [lastMetricsStatus, setLastMetricsStatus] = useState<ImportProgress | null>(null);
@@ -77,7 +63,7 @@ export function DataManagement() {
 
   // Helper to check if any operation is running
   const isAnyOperationRunning = () => {
-    return isUpdating || isImportingCSV || isImportingProd || isTestingConnection || isResetting || isCalculatingMetrics;
+    return isImportingProd || isTestingConnection || isResetting || isCalculatingMetrics || isResettingMetrics;
   };
 
   // Helper function to get progress bar color based on status
@@ -132,7 +118,7 @@ export function DataManagement() {
   };
 
   // Helper function to render progress
-  const renderProgress = (progress: any, operationType: 'update' | 'import' | 'reset' | 'reset-metrics' | 'calculate-metrics') => {
+  const renderProgress = (progress: any, operationType: 'import' | 'reset' | 'reset-metrics' | 'calculate-metrics') => {
     if (!progress) return null;
 
     const status = progress.status?.toLowerCase();
@@ -218,7 +204,7 @@ export function DataManagement() {
   };
 
   // Helper to connect to event source
-  const connectToEventSource = (type: 'update' | 'import' | 'reset' | 'reset-metrics' | 'calculate-metrics') => {
+  const connectToEventSource = (type: 'import' | 'reset' | 'reset-metrics' | 'calculate-metrics') => {
     console.log(`Setting up EventSource for ${type}...`);
     
     // Clean up existing connection first
@@ -257,8 +243,7 @@ export function DataManagement() {
             // Try to reconnect via status check if the operation might still be running
             if (
               (type === 'calculate-metrics' && isCalculatingMetrics) ||
-              (type === 'import' && isImportingCSV) ||
-              (type === 'update' && isUpdating) ||
+              (type === 'import' && isImportingProd) ||
               (type === 'reset' && isResetting) ||
               (type === 'reset-metrics' && isResettingMetrics)
             ) {
@@ -295,7 +280,7 @@ export function DataManagement() {
   };
 
   const handleProgressUpdate = (
-    type: 'update' | 'import' | 'reset' | 'reset-metrics' | 'calculate-metrics',
+    type: 'import' | 'reset' | 'reset-metrics' | 'calculate-metrics',
     progressData: any,
     source: EventSource
   ) => {
@@ -342,7 +327,6 @@ export function DataManagement() {
         if (!otherProgress || otherProgress.status === 'complete' || otherProgress.status === 'error' || otherProgress.status === 'cancelled') {
           source.close();
           setEventSource(null);
-          setIsImportingCSV(false);
           setIsImportingProd(false);
           
           // Show appropriate toast based on final status
@@ -374,12 +358,6 @@ export function DataManagement() {
     let operationName;
     
     switch (type) {
-      case 'update':
-        setProgress = setUpdateProgress;
-        setLastStatus = setLastUpdateStatus;
-        setIsRunning = setIsUpdating;
-        operationName = 'Update';
-        break;
       case 'reset':
         setProgress = setResetProgress;
         setLastStatus = setLastResetStatus;
@@ -435,7 +413,7 @@ export function DataManagement() {
     }
   };
 
-  const handleCancel = async (operation: 'update' | 'import' | 'reset' | 'calculate-metrics') => {
+  const handleCancel = async (operation: 'import' | 'reset' | 'calculate-metrics') => {
     try {
       const response = await fetch(`${config.apiUrl}/csv/cancel?operation=${operation}`, {
         method: 'POST',
@@ -448,13 +426,9 @@ export function DataManagement() {
 
       // Reset the appropriate state
       if (operation === 'import') {
-        setIsImportingCSV(false);
         setIsImportingProd(false);
         setImportProgress(null);
         setPurchaseOrdersProgress(null);
-      } else if (operation === 'update') {
-        setIsUpdating(false);
-        setUpdateProgress(null);
       }
       // ... other operation states ...
     } catch (error) {
@@ -511,7 +485,7 @@ export function DataManagement() {
             
             if (operation.includes('import')) {
               console.log('Import is running');
-              setIsImportingCSV(true);
+              setIsImportingProd(true);
               if (operation.includes('purchase orders')) {
                 setPurchaseOrdersProgress(importData.progress || importData);
               } else {
@@ -520,13 +494,6 @@ export function DataManagement() {
               if (!eventSource) {
                 connectToEventSource('import');
               }
-            } else if (operation.includes('update')) {
-              console.log('Update is running');
-              setIsUpdating(true);
-              setUpdateProgress(importData.progress || importData);
-              if (!eventSource) {
-                connectToEventSource('update');
-              }
             } else if (operation.includes('reset')) {
               if (operation.includes('metrics')) {
                 console.log('Reset metrics is running');
@@ -549,8 +516,6 @@ export function DataManagement() {
             const operation = (importData.lastStatus?.operation || '').toLowerCase();
             if (operation.includes('import')) {
               setLastImportStatus(importData.lastStatus);
-            } else if (operation.includes('update')) {
-              setLastUpdateStatus(importData.lastStatus);
             } else if (operation.includes('reset')) {
               if (operation.includes('metrics')) {
                 setLastResetMetricsStatus(importData.lastStatus);
@@ -569,39 +534,30 @@ export function DataManagement() {
     checkStatus();
   }, []);
 
-  const handleUpdateCSV = async () => {
-    setIsUpdating(true);
-    setUpdateProgress({ status: 'running', operation: 'Starting CSV update' });
-    
+  const handleTestConnection = async () => {
+    setIsTestingConnection(true);
     try {
-      connectToEventSource('update');
-
-      const response = await fetch(`${config.apiUrl}/csv/update`, {
-        method: 'POST',
+      const response = await fetch(`${config.apiUrl}/test-prod-connection`, {
         credentials: 'include'
       });
       
-      if (!response.ok) {
-        const data = await response.json().catch(() => ({}));
-        if (data.error === 'Import already in progress') {
-          return;
-        }
-        throw new Error(data.error || `Failed to update CSV files: ${response.status} ${response.statusText}`);
+      const data = await response.json();
+      
+      if (response.ok) {
+        toast.success(`Successfully connected to production database. Found ${data.productCount.toLocaleString()} products.`);
+      } else {
+        throw new Error(data.error || 'Failed to connect to production database');
       }
     } catch (error) {
-      if (eventSource) {
-        eventSource.close();
-        setEventSource(null);
-      }
-      setIsUpdating(false);
-      setUpdateProgress(null);
-      toast.error(`CSV update failed: ${error instanceof Error ? error.message : 'Unknown error'}`);
+      toast.error(`Connection test failed: ${error instanceof Error ? error.message : 'Unknown error'}`);
+    } finally {
+      setIsTestingConnection(false);
     }
   };
 
-  const handleImportCSV = async () => {
-    setIsImportingCSV(true);
-    setImportProgress({ status: 'running', operation: 'Starting CSV import' });
+  const handleImportFromProd = async () => {
+    setIsImportingProd(true);
+    setImportProgress({ status: 'running', operation: 'Starting import from production' });
     
     try {
       connectToEventSource('import');
@@ -620,20 +576,93 @@ export function DataManagement() {
       }
 
       // Start new import
-      const response = await fetch(`${config.apiUrl}/csv/import`, {
+      const response = await fetch(`${config.apiUrl}/csv/import-from-prod`, {
         method: 'POST',
         credentials: 'include'
+      }).catch(error => {
+        console.log('Import request error (may be timeout):', error);
+        return null;
       });
       
-      const data = await response.json();
-      if (!response.ok) {
-        throw new Error(data.error || 'Failed to start CSV import');
+      // If we got no response but have progress, assume it's still running
+      if (!response && (importProgress?.current || purchaseOrdersProgress?.current)) {
+        console.log('No response but import appears to be running, continuing...');
+        return;
+      }
+      
+      // If we got a response, check if it indicates an actual error
+      if (response) {
+        const data = await response.json().catch(() => null);
+        if (!response.ok && data?.error && !data.error.includes('already in progress')) {
+          throw new Error(data.error || 'Failed to start production import');
+        }
       }
     } catch (error) {
-      toast.error(`CSV import failed: ${error instanceof Error ? error.message : 'Unknown error'}`);
-      setIsImportingCSV(false);
-      setImportProgress(null);
-      setPurchaseOrdersProgress(null);
+      // Only handle actual errors, not timeouts or connection issues
+      if (error instanceof Error && !error.message.includes('NetworkError') && !error.message.includes('Failed to fetch')) {
+        toast.error(`Production import failed: ${error.message}`);
+        setIsImportingProd(false);
+        setImportProgress(null);
+        setPurchaseOrdersProgress(null);
+      } else {
+        console.log('Ignoring network error, import may still be running:', error);
+      }
+    }
+  };
+
+  const handleCalculateMetrics = async () => {
+    setIsCalculatingMetrics(true);
+    setMetricsProgress({ status: 'running', operation: 'Starting metrics calculation' });
+    
+    try {
+      connectToEventSource('calculate-metrics');
+
+      // First check if metrics calculation is already running
+      const statusResponse = await fetch(`${config.apiUrl}/csv/calculate-metrics/status`, {
+        credentials: 'include'
+      }).catch(() => null);
+
+      if (statusResponse) {
+        const statusData = await statusResponse.json().catch(() => null);
+        if (statusData?.active && statusData?.progress) {
+          console.log('Metrics calculation already running, connecting to existing process');
+          setMetricsProgress(statusData.progress);
+          return;
+        }
+      }
+
+      // Start new metrics calculation
+      const response = await fetch(`${config.apiUrl}/csv/calculate-metrics`, {
+        method: 'POST',
+        credentials: 'include'
+      }).catch(error => {
+        // Ignore network errors as the calculation might still be running
+        console.log('Metrics calculation request error (may be timeout):', error);
+        return null;
+      });
+      
+      // If we got no response but have progress, assume it's still running
+      if (!response && metricsProgress?.current) {
+        console.log('No response but metrics calculation appears to be running, continuing...');
+        return;
+      }
+      
+      // If we got a response, check if it indicates an actual error
+      if (response) {
+        const data = await response.json().catch(() => null);
+        if (!response.ok && data?.error && !data.error.includes('already in progress')) {
+          throw new Error(data.error || 'Failed to calculate metrics');
+        }
+      }
+    } catch (error) {
+      // Only handle actual errors, not timeouts or connection issues
+      if (error instanceof Error && !error.message.includes('NetworkError') && !error.message.includes('Failed to fetch')) {
+        toast.error(`Metrics calculation failed: ${error.message}`);
+        setIsCalculatingMetrics(false);
+        setMetricsProgress(null);
+      } else {
+        console.log('Ignoring network error, metrics calculation may still be running:', error);
+      }
     }
   };
 
@@ -726,138 +755,6 @@ export function DataManagement() {
     }
   };
 
-  const handleCalculateMetrics = async () => {
-    setIsCalculatingMetrics(true);
-    setMetricsProgress({ status: 'running', operation: 'Starting metrics calculation' });
-    
-    try {
-      connectToEventSource('calculate-metrics');
-
-      // First check if metrics calculation is already running
-      const statusResponse = await fetch(`${config.apiUrl}/csv/calculate-metrics/status`, {
-        credentials: 'include'
-      }).catch(() => null);
-
-      if (statusResponse) {
-        const statusData = await statusResponse.json().catch(() => null);
-        if (statusData?.active && statusData?.progress) {
-          console.log('Metrics calculation already running, connecting to existing process');
-          setMetricsProgress(statusData.progress);
-          return;
-        }
-      }
-
-      // Start new metrics calculation
-      const response = await fetch(`${config.apiUrl}/csv/calculate-metrics`, {
-        method: 'POST',
-        credentials: 'include'
-      }).catch(error => {
-        // Ignore network errors as the calculation might still be running
-        console.log('Metrics calculation request error (may be timeout):', error);
-        return null;
-      });
-      
-      // If we got no response but have progress, assume it's still running
-      if (!response && metricsProgress?.current) {
-        console.log('No response but metrics calculation appears to be running, continuing...');
-        return;
-      }
-      
-      // If we got a response, check if it indicates an actual error
-      if (response) {
-        const data = await response.json().catch(() => null);
-        if (!response.ok && data?.error && !data.error.includes('already in progress')) {
-          throw new Error(data.error || 'Failed to calculate metrics');
-        }
-      }
-    } catch (error) {
-      // Only handle actual errors, not timeouts or connection issues
-      if (error instanceof Error && !error.message.includes('NetworkError') && !error.message.includes('Failed to fetch')) {
-        toast.error(`Metrics calculation failed: ${error.message}`);
-        setIsCalculatingMetrics(false);
-        setMetricsProgress(null);
-      } else {
-        console.log('Ignoring network error, metrics calculation may still be running:', error);
-      }
-    }
-  };
-
-  const handleTestConnection = async () => {
-    setIsTestingConnection(true);
-    try {
-      const response = await fetch(`${config.apiUrl}/test-prod-connection`, {
-        credentials: 'include'
-      });
-      
-      const data = await response.json();
-      
-      if (response.ok) {
-        toast.success(`Successfully connected to production database. Found ${data.productCount.toLocaleString()} products.`);
-      } else {
-        throw new Error(data.error || 'Failed to connect to production database');
-      }
-    } catch (error) {
-      toast.error(`Connection test failed: ${error instanceof Error ? error.message : 'Unknown error'}`);
-    } finally {
-      setIsTestingConnection(false);
-    }
-  };
-
-  const handleImportFromProd = async () => {
-    setIsImportingProd(true);
-    setImportProgress({ status: 'running', operation: 'Starting import from production' });
-    
-    try {
-      connectToEventSource('import');
-
-      // First check if import is already running
-      const statusResponse = await fetch(`${config.apiUrl}/csv/status`, {
-        credentials: 'include'
-      }).catch(() => null);
-
-      if (statusResponse) {
-        const statusData = await statusResponse.json().catch(() => null);
-        if (statusData?.active && statusData?.progress) {
-          console.log('Import already running, connecting to existing process');
-          return;
-        }
-      }
-
-      // Start new import
-      const response = await fetch(`${config.apiUrl}/csv/import-from-prod`, {
-        method: 'POST',
-        credentials: 'include'
-      }).catch(error => {
-        console.log('Import request error (may be timeout):', error);
-        return null;
-      });
-      
-      // If we got no response but have progress, assume it's still running
-      if (!response && (importProgress?.current || purchaseOrdersProgress?.current)) {
-        console.log('No response but import appears to be running, continuing...');
-        return;
-      }
-      
-      // If we got a response, check if it indicates an actual error
-      if (response) {
-        const data = await response.json().catch(() => null);
-        if (!response.ok && data?.error && !data.error.includes('already in progress')) {
-          throw new Error(data.error || 'Failed to start production import');
-        }
-      }
-    } catch (error) {
-      // Only handle actual errors, not timeouts or connection issues
-      if (error instanceof Error && !error.message.includes('NetworkError') && !error.message.includes('Failed to fetch')) {
-        toast.error(`Production import failed: ${error.message}`);
-        setIsImportingProd(false);
-        setImportProgress(null);
-        setPurchaseOrdersProgress(null);
-      } else {
-        console.log('Ignoring network error, import may still be running:', error);
-      }
-    }
-  };
-
   return (
     <div className="max-w-[400px] space-y-4">
       {/* Test Production Connection Card */}
@@ -887,91 +784,33 @@ export function DataManagement() {
         </CardContent>
       </Card>
 
-      {/* Update CSV Card */}
-      <Card>
-        <CardHeader>
-          <CardTitle>Update CSV Files</CardTitle>
-          <CardDescription>Download the latest CSV data files</CardDescription>
-        </CardHeader>
-        <CardContent>
-          <div className="flex gap-2">
-            <Button 
-              className="flex-1"
-              onClick={handleUpdateCSV}
-              disabled={isAnyOperationRunning()}
-            >
-              {isUpdating ? (
-                <>
-                  <Loader2 className="mr-2 h-4 w-4 animate-spin" />
-                  Updating CSV Files...
-                </>
-              ) : (
-                <>
-                  <RefreshCw className="mr-2 h-4 w-4" />
-                  Update CSV Files
-                </>
-              )}
-            </Button>
-
-            {isUpdating && (
-              <Button
-                variant="destructive"
-                onClick={() => handleCancel('update')}
-              >
-                <X className="h-4 w-4" />
-              </Button>
-            )}
-          </div>
-
-          {(isUpdating || lastUpdateStatus) && renderProgress(updateProgress || lastUpdateStatus, 'update')}
-        </CardContent>
-      </Card>
-
       {/* Import Data Card */}
       <Card>
         <CardHeader>
           <CardTitle>Import Data</CardTitle>
-          <CardDescription>Import data from CSV files or production database</CardDescription>
+          <CardDescription>Import data from production database</CardDescription>
         </CardHeader>
         <CardContent className="space-y-6">
           <div className="flex gap-2">
             <Button 
-              className="flex-1 min-w-0"
-              onClick={handleImportCSV}
-              disabled={isAnyOperationRunning()}
-            >
-              {isImportingCSV ? (
-                <div className="flex items-center justify-center">
-                  <Loader2 className="mr-2 h-4 w-4 animate-spin" />
-                  <span className="truncate">Importing CSV...</span>
-                </div>
-              ) : (
-                <div className="flex items-center justify-center">
-                  <Upload className="mr-2 h-4 w-4" />
-                  <span>Import from CSV</span>
-                </div>
-              )}
-            </Button>
-
-            <Button 
-              className="flex-1 min-w-0"
+              className="w-full"
               onClick={handleImportFromProd}
               disabled={isAnyOperationRunning()}
             >
               {isImportingProd ? (
                 <div className="flex items-center justify-center">
                   <Loader2 className="mr-2 h-4 w-4 animate-spin" />
-                  <span className="truncate">Importing Prod...</span>
+                  <span className="truncate">Importing from Production...</span>
                 </div>
               ) : (
                 <div className="flex items-center justify-center">
                   <Database className="mr-2 h-4 w-4" />
-                  <span>Import from Prod</span>
+                  <span>Import from Production</span>
                 </div>
               )}
             </Button>
 
-            {(isImportingCSV || isImportingProd) && (
+            {isImportingProd && (
               <Button
                 variant="destructive"
                 onClick={() => handleCancel('import')}
@@ -981,7 +820,7 @@ export function DataManagement() {
             )}
           </div>
 
-          {(isImportingCSV || isImportingProd || lastImportStatus) && (
+          {(isImportingProd || lastImportStatus) && (
             <div className="space-y-4">
               {renderProgress(importProgress || lastImportStatus, 'import')}
               {renderProgress(purchaseOrdersProgress, 'import')}

inventory/src/components/settings/PerformanceMetrics.tsx

@@ -5,10 +5,11 @@ import { Input } from "@/components/ui/input";
 import { Label } from "@/components/ui/label";
 import { toast } from "sonner";
 import config from '../../config';
+import { Table, TableBody, TableCell, TableHeader, TableRow } from "@/components/ui/table";
 
 interface LeadTimeThreshold {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   target_days: number;
   warning_days: number;
@@ -17,6 +18,8 @@ interface LeadTimeThreshold {
 
 interface ABCClassificationConfig {
   id: number;
+  cat_id: number | null;
+  vendor: string | null;
   a_threshold: number;
   b_threshold: number;
   classification_period_days: number;
@@ -24,7 +27,7 @@ interface ABCClassificationConfig {
 
 interface TurnoverConfig {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   calculation_period_days: number;
   target_rate: number;
@@ -33,27 +36,16 @@ interface TurnoverConfig {
 export function PerformanceMetrics() {
   const [leadTimeThresholds, setLeadTimeThresholds] = useState<LeadTimeThreshold>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     target_days: 14,
     warning_days: 21,
     critical_days: 30
   });
 
-  const [abcConfig, setAbcConfig] = useState<ABCClassificationConfig>({
-    id: 1,
-    a_threshold: 20.0,
-    b_threshold: 50.0,
-    classification_period_days: 90
-  });
+  const [abcConfigs, setAbcConfigs] = useState<ABCClassificationConfig[]>([]);
 
-  const [turnoverConfig, setTurnoverConfig] = useState<TurnoverConfig>({
-    id: 1,
-    category_id: null,
-    vendor: null,
-    calculation_period_days: 30,
-    target_rate: 1.0
-  });
+  const [turnoverConfigs, setTurnoverConfigs] = useState<TurnoverConfig[]>([]);
 
   useEffect(() => {
     const loadConfig = async () => {
@@ -66,8 +58,8 @@ export function PerformanceMetrics() {
         }
         const data = await response.json();
         setLeadTimeThresholds(data.leadTimeThresholds);
-        setAbcConfig(data.abcConfig);
-        setTurnoverConfig(data.turnoverConfig);
+        setAbcConfigs(data.abcConfigs);
+        setTurnoverConfigs(data.turnoverConfigs);
       } catch (error) {
         toast.error(`Failed to load configuration: ${error instanceof Error ? error.message : 'Unknown error'}`);
       }
@@ -105,7 +97,7 @@ export function PerformanceMetrics() {
           'Content-Type': 'application/json'
         },
         credentials: 'include',
-        body: JSON.stringify(abcConfig)
+        body: JSON.stringify(abcConfigs)
       });
 
       if (!response.ok) {
@@ -127,7 +119,7 @@ export function PerformanceMetrics() {
           'Content-Type': 'application/json'
         },
         credentials: 'include',
-        body: JSON.stringify(turnoverConfig)
+        body: JSON.stringify(turnoverConfigs)
       });
 
       if (!response.ok) {
@@ -210,54 +202,28 @@ export function PerformanceMetrics() {
         </CardHeader>
         <CardContent>
           <div className="space-y-4">
-            <div className="grid grid-cols-3 gap-4">
-              <div>
-                <Label htmlFor="a-threshold">A Threshold (%)</Label>
-                <Input
-                  id="a-threshold"
-                  type="number"
-                  min="0"
-                  max="100"
-                  step="0.1"
-                  className="[appearance:textfield] [&::-webkit-outer-spin-button]:appearance-none [&::-webkit-inner-spin-button]:appearance-none"
-                  value={abcConfig.a_threshold}
-                  onChange={(e) => setAbcConfig(prev => ({
-                    ...prev,
-                    a_threshold: parseFloat(e.target.value) || 0
-                  }))}
-                />
-              </div>
-              <div>
-                <Label htmlFor="b-threshold">B Threshold (%)</Label>
-                <Input
-                  id="b-threshold"
-                  type="number"
-                  min="0"
-                  max="100"
-                  step="0.1"
-                  className="[appearance:textfield] [&::-webkit-outer-spin-button]:appearance-none [&::-webkit-inner-spin-button]:appearance-none"
-                  value={abcConfig.b_threshold}
-                  onChange={(e) => setAbcConfig(prev => ({
-                    ...prev,
-                    b_threshold: parseFloat(e.target.value) || 0
-                  }))}
-                />
-              </div>
-              <div>
-                <Label htmlFor="classification-period">Classification Period (days)</Label>
-                <Input
-                  id="classification-period"
-                  type="number"
-                  min="1"
-                  className="[appearance:textfield] [&::-webkit-outer-spin-button]:appearance-none [&::-webkit-inner-spin-button]:appearance-none"
-                  value={abcConfig.classification_period_days}
-                  onChange={(e) => setAbcConfig(prev => ({
-                    ...prev,
-                    classification_period_days: parseInt(e.target.value) || 1
-                  }))}
-                />
-              </div>
-            </div>
+            <Table>
+              <TableHeader>
+                <TableRow>
+                  <TableHead>Category</TableHead>
+                  <TableHead>Vendor</TableHead>
+                  <TableHead className="text-right">A Threshold</TableHead>
+                  <TableHead className="text-right">B Threshold</TableHead>
+                  <TableHead className="text-right">Period Days</TableHead>
+                </TableRow>
+              </TableHeader>
+              <TableBody>
+                {abcConfigs.map((config) => (
+                  <TableRow key={`${config.cat_id}-${config.vendor}`}>
+                    <TableCell>{config.cat_id ? getCategoryName(config.cat_id) : 'Global'}</TableCell>
+                    <TableCell>{config.vendor || 'All Vendors'}</TableCell>
+                    <TableCell className="text-right">{config.a_threshold}%</TableCell>
+                    <TableCell className="text-right">{config.b_threshold}%</TableCell>
+                    <TableCell className="text-right">{config.classification_period_days}</TableCell>
+                  </TableRow>
+                ))}
+              </TableBody>
+            </Table>
             <Button onClick={handleUpdateABCConfig}>
               Update ABC Classification
             </Button>
@@ -273,37 +239,26 @@ export function PerformanceMetrics() {
         </CardHeader>
         <CardContent>
           <div className="space-y-4">
-            <div className="grid grid-cols-2 gap-4">
-              <div>
-                <Label htmlFor="calculation-period">Calculation Period (days)</Label>
-                <Input
-                  id="calculation-period"
-                  type="number"
-                  min="1"
-                  className="[appearance:textfield] [&::-webkit-outer-spin-button]:appearance-none [&::-webkit-inner-spin-button]:appearance-none"
-                  value={turnoverConfig.calculation_period_days}
-                  onChange={(e) => setTurnoverConfig(prev => ({
-                    ...prev,
-                    calculation_period_days: parseInt(e.target.value) || 1
-                  }))}
-                />
-              </div>
-              <div>
-                <Label htmlFor="target-rate">Target Rate</Label>
-                <Input
-                  id="target-rate"
-                  type="number"
-                  min="0"
-                  step="0.1"
-                  className="[appearance:textfield] [&::-webkit-outer-spin-button]:appearance-none [&::-webkit-inner-spin-button]:appearance-none"
-                  value={turnoverConfig.target_rate}
-                  onChange={(e) => setTurnoverConfig(prev => ({
-                    ...prev,
-                    target_rate: parseFloat(e.target.value) || 0
-                  }))}
-                />
-              </div>
-            </div>
+            <Table>
+              <TableHeader>
+                <TableRow>
+                  <TableHead>Category</TableHead>
+                  <TableHead>Vendor</TableHead>
+                  <TableHead className="text-right">Period Days</TableHead>
+                  <TableHead className="text-right">Target Rate</TableHead>
+                </TableRow>
+              </TableHeader>
+              <TableBody>
+                {turnoverConfigs.map((config) => (
+                  <TableRow key={`${config.cat_id}-${config.vendor}`}>
+                    <TableCell>{config.cat_id ? getCategoryName(config.cat_id) : 'Global'}</TableCell>
+                    <TableCell>{config.vendor || 'All Vendors'}</TableCell>
+                    <TableCell className="text-right">{config.calculation_period_days}</TableCell>
+                    <TableCell className="text-right">{config.target_rate.toFixed(2)}</TableCell>
+                  </TableRow>
+                ))}
+              </TableBody>
+            </Table>
             <Button onClick={handleUpdateTurnoverConfig}>
               Update Turnover Configuration
             </Button>

inventory/src/components/settings/StockManagement.tsx

@@ -5,10 +5,11 @@ import { Input } from "@/components/ui/input";
 import { Label } from "@/components/ui/label";
 import { toast } from "sonner";
 import config from '../../config';
+import { Table, TableBody, TableCell, TableHeader, TableRow } from "@/components/ui/table";
 
 interface StockThreshold {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   critical_days: number;
   reorder_days: number;
@@ -19,7 +20,7 @@ interface StockThreshold {
 
 interface SafetyStockConfig {
   id: number;
-  category_id: number | null;
+  cat_id: number | null;
   vendor: string | null;
   coverage_days: number;
   service_level: number;
@@ -28,7 +29,7 @@ interface SafetyStockConfig {
 export function StockManagement() {
   const [stockThresholds, setStockThresholds] = useState<StockThreshold>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     critical_days: 7,
     reorder_days: 14,
@@ -39,7 +40,7 @@ export function StockManagement() {
 
   const [safetyStockConfig, setSafetyStockConfig] = useState<SafetyStockConfig>({
     id: 1,
-    category_id: null,
+    cat_id: null,
     vendor: null,
     coverage_days: 14,
     service_level: 95.0
@@ -243,6 +244,54 @@ export function StockManagement() {
           </div>
         </CardContent>
       </Card>
+
+      <Table>
+        <TableHeader>
+          <TableRow>
+            <TableHead>Category</TableHead>
+            <TableHead>Vendor</TableHead>
+            <TableHead className="text-right">Critical Days</TableHead>
+            <TableHead className="text-right">Reorder Days</TableHead>
+            <TableHead className="text-right">Overstock Days</TableHead>
+            <TableHead className="text-right">Low Stock</TableHead>
+            <TableHead className="text-right">Min Reorder</TableHead>
+          </TableRow>
+        </TableHeader>
+        <TableBody>
+          {stockThresholds.map((threshold) => (
+            <TableRow key={`${threshold.cat_id}-${threshold.vendor}`}>
+              <TableCell>{threshold.cat_id ? getCategoryName(threshold.cat_id) : 'Global'}</TableCell>
+              <TableCell>{threshold.vendor || 'All Vendors'}</TableCell>
+              <TableCell className="text-right">{threshold.critical_days}</TableCell>
+              <TableCell className="text-right">{threshold.reorder_days}</TableCell>
+              <TableCell className="text-right">{threshold.overstock_days}</TableCell>
+              <TableCell className="text-right">{threshold.low_stock_threshold}</TableCell>
+              <TableCell className="text-right">{threshold.min_reorder_quantity}</TableCell>
+            </TableRow>
+          ))}
+        </TableBody>
+      </Table>
+
+      <Table>
+        <TableHeader>
+          <TableRow>
+            <TableHead>Category</TableHead>
+            <TableHead>Vendor</TableHead>
+            <TableHead className="text-right">Coverage Days</TableHead>
+            <TableHead className="text-right">Service Level</TableHead>
+          </TableRow>
+        </TableHeader>
+        <TableBody>
+          {safetyStockConfigs.map((config) => (
+            <TableRow key={`${config.cat_id}-${config.vendor}`}>
+              <TableCell>{config.cat_id ? getCategoryName(config.cat_id) : 'Global'}</TableCell>
+              <TableCell>{config.vendor || 'All Vendors'}</TableCell>
+              <TableCell className="text-right">{config.coverage_days}</TableCell>
+              <TableCell className="text-right">{config.service_level}%</TableCell>
+            </TableRow>
+          ))}
+        </TableBody>
+      </Table>
     </div>
   );
 } 

inventory/src/pages/Categories.tsx

@@ -10,37 +10,66 @@ import { motion } from "motion/react";
 import config from "../config";
 
 interface Category {
-  category_id: number;
+  cat_id: number;
   name: string;
-  description: string;
-  parent_category?: string;
-  product_count: number;
-  total_value: number;
-  avg_margin: number;
-  turnover_rate: number;
-  growth_rate: number;
+  type: number;
+  parent_id: number | null;
+  parent_name: string | null;
+  parent_type: number | null;
+  description: string | null;
   status: string;
+  metrics?: {
+    product_count: number;
+    active_products: number;
+    total_value: number;
+    avg_margin: number;
+    turnover_rate: number;
+    growth_rate: number;
+  };
+}
+
+interface TypeCount {
+  type: number;
+  count: number;
 }
 
 interface CategoryFilters {
   search: string;
-  parent: string;
+  type: string;
   performance: string;
 }
 
+const TYPE_LABELS: Record<number, string> = {
+  10: 'Section',
+  11: 'Category',
+  12: 'Subcategory',
+  13: 'Sub-subcategory',
+  20: 'Theme',
+  21: 'Subtheme'
+};
+
+function getCategoryStatusVariant(status: string): "default" | "secondary" | "destructive" | "outline" {
+  switch (status.toLowerCase()) {
+    case 'active':
+      return 'default';
+    case 'inactive':
+      return 'secondary';
+    case 'archived':
+      return 'destructive';
+    default:
+      return 'outline';
+  }
+}
+
 export function Categories() {
   const [page, setPage] = useState(1);
-  const [sortColumn, setSortColumn] = useState<keyof Category>("name");
-  const [sortDirection, setSortDirection] = useState<"asc" | "desc">("asc");
+  const [sortColumn] = useState<keyof Category>("name");
+  const [sortDirection] = useState<"asc" | "desc">("asc");
   const [filters, setFilters] = useState<CategoryFilters>({
     search: "",
-    parent: "all",
+    type: "all",
     performance: "all",
   });
-  const [] = useState({
-    column: 'name',
-    direction: 'asc'
-  });
 
   const { data, isLoading } = useQuery({
     queryKey: ["categories"],
@@ -68,19 +97,15 @@ export function Categories() {
       );
     }
 
-    // Apply parent filter
-    if (filters.parent !== 'all') {
-      if (filters.parent === 'none') {
-        filtered = filtered.filter(category => !category.parent_category);
-      } else {
-        filtered = filtered.filter(category => category.parent_category === filters.parent);
-      }
+    // Apply type filter
+    if (filters.type !== 'all') {
+      filtered = filtered.filter(category => category.type === parseInt(filters.type));
     }
 
     // Apply performance filter
     if (filters.performance !== 'all') {
       filtered = filtered.filter(category => {
-        const growth = category.growth_rate ?? 0;
+        const growth = category.metrics?.growth_rate ?? 0;
         switch (filters.performance) {
           case 'high_growth': return growth >= 20;
           case 'growing': return growth >= 5 && growth < 20;
@@ -93,6 +118,19 @@ export function Categories() {
 
     // Apply sorting
     filtered.sort((a, b) => {
+      // First sort by type if not explicitly sorting by another column
+      if (sortColumn === "name") {
+        if (a.type !== b.type) {
+          return a.type - b.type;
+        }
+        // Then by parent hierarchy
+        if (a.parent_id !== b.parent_id) {
+          if (!a.parent_id) return -1;
+          if (!b.parent_id) return 1;
+          return a.parent_id - b.parent_id;
+        }
+      }
+
       const aVal = a[sortColumn];
       const bVal = b[sortColumn];
       
@@ -123,9 +161,9 @@ export function Categories() {
     if (!filteredData.length) return data?.stats;
 
     const activeCategories = filteredData.filter(c => c.status === 'active').length;
-    const totalValue = filteredData.reduce((sum, c) => sum + (c.total_value || 0), 0);
-    const margins = filteredData.map(c => c.avg_margin || 0).filter(m => m !== 0);
-    const growthRates = filteredData.map(c => c.growth_rate || 0).filter(g => g !== 0);
+    const totalValue = filteredData.reduce((sum, c) => sum + (c.metrics?.total_value || 0), 0);
+    const margins = filteredData.map(c => c.metrics?.avg_margin || 0).filter(m => m !== 0);
+    const growthRates = filteredData.map(c => c.metrics?.growth_rate || 0).filter(g => g !== 0);
 
     return {
       totalCategories: filteredData.length,
@@ -136,20 +174,7 @@ export function Categories() {
     };
   }, [filteredData, data?.stats]);
 
-  const handleSort = (column: keyof Category) => {
-    setSortDirection(prev => {
-      if (sortColumn !== column) return "asc";
-      return prev === "asc" ? "desc" : "asc";
-    });
-    setSortColumn(column);
-  };
 
-  const getPerformanceBadge = (growth: number) => {
-    if (growth >= 20) return <Badge variant="default">High Growth</Badge>;
-    if (growth >= 5) return <Badge variant="secondary">Growing</Badge>;
-    if (growth >= -5) return <Badge variant="outline">Stable</Badge>;
-    return <Badge variant="destructive">Declining</Badge>;
-  };
 
   const formatCurrency = (value: number) => {
     return new Intl.NumberFormat('en-US', {
@@ -245,17 +270,18 @@ export function Categories() {
             className="h-8 w-[150px] lg:w-[250px]"
           />
           <Select
-            value={filters.parent}
-            onValueChange={(value) => setFilters(prev => ({ ...prev, parent: value }))}
+            value={filters.type}
+            onValueChange={(value) => setFilters(prev => ({ ...prev, type: value }))}
           >
             <SelectTrigger className="h-8 w-[180px]">
-              <SelectValue placeholder="Parent Category" />
+              <SelectValue placeholder="Category Type" />
             </SelectTrigger>
             <SelectContent>
-              <SelectItem value="all">All Categories</SelectItem>
-              <SelectItem value="none">Top Level Only</SelectItem>
-              {data?.parentCategories?.map((parent: string) => (
-                <SelectItem key={parent} value={parent}>{parent}</SelectItem>
+              <SelectItem value="all">All Types</SelectItem>
+              {data?.typeCounts?.map((tc: TypeCount) => (
+                <SelectItem key={tc.type} value={tc.type.toString()}>
+                  {TYPE_LABELS[tc.type]} ({tc.count})
+                </SelectItem>
               ))}
             </SelectContent>
           </Select>
@@ -281,48 +307,66 @@ export function Categories() {
         <Table>
           <TableHeader>
             <TableRow>
-              <TableHead onClick={() => handleSort("name")} className="cursor-pointer">Name</TableHead>
-              <TableHead onClick={() => handleSort("parent_category")} className="cursor-pointer">Parent</TableHead>
-              <TableHead onClick={() => handleSort("product_count")} className="cursor-pointer">Products</TableHead>
-              <TableHead onClick={() => handleSort("total_value")} className="cursor-pointer">Value</TableHead>
-              <TableHead onClick={() => handleSort("avg_margin")} className="cursor-pointer">Margin</TableHead>
-              <TableHead onClick={() => handleSort("turnover_rate")} className="cursor-pointer">Turnover</TableHead>
-              <TableHead onClick={() => handleSort("growth_rate")} className="cursor-pointer">Growth</TableHead>
-              <TableHead onClick={() => handleSort("status")} className="cursor-pointer">Status</TableHead>
+              <TableHead>Type</TableHead>
+              <TableHead>Name</TableHead>
+              <TableHead>Parent</TableHead>
+              <TableHead className="text-right">Products</TableHead>
+              <TableHead className="text-right">Active</TableHead>
+              <TableHead className="text-right">Value</TableHead>
+              <TableHead className="text-right">Margin</TableHead>
+              <TableHead className="text-right">Turnover</TableHead>
+              <TableHead className="text-right">Growth</TableHead>
+              <TableHead>Status</TableHead>
             </TableRow>
           </TableHeader>
           <TableBody>
             {isLoading ? (
               <TableRow>
-                <TableCell colSpan={8} className="text-center py-8">
+                <TableCell colSpan={10} className="text-center py-8">
                   Loading categories...
                 </TableCell>
               </TableRow>
             ) : paginatedData.map((category: Category) => (
-              <TableRow key={category.category_id}>
+              <TableRow key={category.cat_id}>
                 <TableCell>
-                  <div className="font-medium">{category.name}</div>
-                  <div className="text-sm text-muted-foreground">{category.description}</div>
+                  <Badge variant="outline">
+                    {TYPE_LABELS[category.type]}
+                  </Badge>
                 </TableCell>
-                <TableCell>{category.parent_category || "—"}</TableCell>
-                <TableCell>{category.product_count?.toLocaleString() ?? 0}</TableCell>
-                <TableCell>{formatCurrency(category.total_value ?? 0)}</TableCell>
-                <TableCell>{typeof category.avg_margin === 'number' ? category.avg_margin.toFixed(1) : "0.0"}%</TableCell>
-                <TableCell>{typeof category.turnover_rate === 'number' ? category.turnover_rate.toFixed(1) : "0.0"}x</TableCell>
                 <TableCell>
-                  <div className="flex items-center gap-2" style={{ minWidth: '120px' }}>
-                    <div style={{ width: '50px', textAlign: 'right' }}>
-                      {typeof category.growth_rate === 'number' ? category.growth_rate.toFixed(1) : "0.0"}%
+                  <div className="flex flex-col gap-1">
+                    <div className="flex items-center gap-2">
+                      <span className="font-medium">{category.name}</span>
+                
                     </div>
-                    {getPerformanceBadge(category.growth_rate ?? 0)}
+                    {category.description && (
+                      <div className="text-xs text-muted-foreground">{category.description}</div>
+                    )}
                   </div>
                 </TableCell>
-                <TableCell>{category.status}</TableCell>
+                <TableCell className="text-sm text-muted-foreground">
+                  {category.type === 10 ? category.name :  // Section
+                   category.type === 11 ? `${category.parent_name}` :  // Category
+                   category.type === 12 ? `${category.parent_name} > ${category.name}` :  // Subcategory
+                   category.type === 13 ? `${category.parent_name} > ${category.name}` :  // Sub-subcategory
+                   category.parent_name ? `${category.parent_name} > ${category.name}` : category.name}
+                </TableCell>
+                <TableCell className="text-right">{category.metrics?.product_count || 0}</TableCell>
+                <TableCell className="text-right">{category.metrics?.active_products || 0}</TableCell>
+                <TableCell className="text-right">{formatCurrency(category.metrics?.total_value || 0)}</TableCell>
+                <TableCell className="text-right">{category.metrics?.avg_margin?.toFixed(1)}%</TableCell>
+                <TableCell className="text-right">{category.metrics?.turnover_rate?.toFixed(2)}</TableCell>
+                <TableCell className="text-right">{category.metrics?.growth_rate?.toFixed(1)}%</TableCell>
+                <TableCell>
+                  <Badge variant={getCategoryStatusVariant(category.status)}>
+                    {category.status}
+                  </Badge>
+                </TableCell>
               </TableRow>
             ))}
             {!isLoading && !paginatedData.length && (
               <TableRow>
-                <TableCell colSpan={8} className="text-center py-8 text-muted-foreground">
+                <TableCell colSpan={10} className="text-center py-8 text-muted-foreground">
                   No categories found
                 </TableCell>
               </TableRow>

inventory/src/pages/Forecasting.tsx

@@ -60,19 +60,23 @@ export default function Forecasting() {
       const data = await response.json();
       return data.map((item: any) => ({
         category: item.category_name,
+        categoryPath: item.path,
         avgDailySales: Number(item.avg_daily_sales) || 0,
         totalSold: Number(item.total_sold) || 0,
         numProducts: Number(item.num_products) || 0,
         avgPrice: Number(item.avg_price) || 0,
         avgTotalSold: Number(item.avgTotalSold) || 0,
         products: item.products?.map((p: any) => ({
-          product_id: p.product_id,
-          name: p.title,
+          pid: p.pid,
+          title: p.title,
           sku: p.sku,
           stock_quantity: Number(p.stock_quantity) || 0,
           total_sold: Number(p.total_sold) || 0,
-          avg_price: Number(p.avg_price) || 0,
-          first_received_date: p.first_received_date,
+          daily_sales_avg: Number(p.daily_sales_avg) || 0,
+          forecast_units: Number(p.forecast_units) || 0,
+          forecast_revenue: Number(p.forecast_revenue) || 0,
+          confidence_level: Number(p.confidence_level) || 0,
+          categoryPath: item.path
         }))
       }));
     },

inventory/src/pages/Products.tsx

@@ -503,7 +503,7 @@ export function Products() {
               columnDefs={AVAILABLE_COLUMNS}
               columnOrder={columnOrder}
               onColumnOrderChange={handleColumnOrderChange}
-              onRowClick={(product) => setSelectedProductId(product.product_id)}
+              onRowClick={(product) => setSelectedProductId(product.pid)}
             />
             
             {totalPages > 1 && (

inventory/src/pages/PurchaseOrders.tsx

@@ -20,12 +20,21 @@ import {
   PaginationPrevious,
 } from '../components/ui/pagination';
 import { motion } from 'motion/react';
+import {
+  PurchaseOrderStatus,
+  ReceivingStatus as ReceivingStatusCode,
+  getPurchaseOrderStatusLabel,
+  getReceivingStatusLabel,
+  getPurchaseOrderStatusVariant,
+  getReceivingStatusVariant
+} from '../types/status-codes';
 
 interface PurchaseOrder {
   id: number;
   vendor_name: string;
   order_date: string;
-  status: string;
+  status: number;
+  receiving_status: number;
   total_items: number;
   total_quantity: number;
   total_cost: number;
@@ -113,6 +122,16 @@ export default function PurchaseOrders() {
     limit: 100,
   });
 
+  const STATUS_FILTER_OPTIONS = [
+    { value: 'all', label: 'All Statuses' },
+    { value: String(PurchaseOrderStatus.Created), label: getPurchaseOrderStatusLabel(PurchaseOrderStatus.Created) },
+    { value: String(PurchaseOrderStatus.ElectronicallyReadySend), label: getPurchaseOrderStatusLabel(PurchaseOrderStatus.ElectronicallyReadySend) },
+    { value: String(PurchaseOrderStatus.Ordered), label: getPurchaseOrderStatusLabel(PurchaseOrderStatus.Ordered) },
+    { value: String(PurchaseOrderStatus.ReceivingStarted), label: getPurchaseOrderStatusLabel(PurchaseOrderStatus.ReceivingStarted) },
+    { value: String(PurchaseOrderStatus.Done), label: getPurchaseOrderStatusLabel(PurchaseOrderStatus.Done) },
+    { value: String(PurchaseOrderStatus.Canceled), label: getPurchaseOrderStatusLabel(PurchaseOrderStatus.Canceled) },
+  ];
+
   const fetchData = async () => {
     try {
       const searchParams = new URLSearchParams({
@@ -171,16 +190,25 @@ export default function PurchaseOrders() {
     }
   };
 
-  const getStatusBadge = (status: string) => {
-    const variants: Record<string, { variant: "default" | "secondary" | "destructive" | "outline"; label: string }> = {
-      pending: { variant: "outline", label: "Pending" },
-      received: { variant: "default", label: "Received" },
-      partial: { variant: "secondary", label: "Partial" },
-      cancelled: { variant: "destructive", label: "Cancelled" },
-    };
-
-    const statusConfig = variants[status.toLowerCase()] || variants.pending;
-    return <Badge variant={statusConfig.variant}>{statusConfig.label}</Badge>;
+  const getStatusBadge = (status: number, receivingStatus: number) => {
+    // If the PO is canceled, show that status
+    if (status === PurchaseOrderStatus.Canceled) {
+      return <Badge variant={getPurchaseOrderStatusVariant(status)}>
+        {getPurchaseOrderStatusLabel(status)}
+      </Badge>;
+    }
+    
+    // If receiving has started, show receiving status
+    if (status >= PurchaseOrderStatus.ReceivingStarted) {
+      return <Badge variant={getReceivingStatusVariant(receivingStatus)}>
+        {getReceivingStatusLabel(receivingStatus)}
+      </Badge>;
+    }
+    
+    // Otherwise show PO status
+    return <Badge variant={getPurchaseOrderStatusVariant(status)}>
+      {getPurchaseOrderStatusLabel(status)}
+    </Badge>;
   };
 
   const formatNumber = (value: number) => {
@@ -252,45 +280,44 @@ export default function PurchaseOrders() {
       </div>
 
       {/* Filters */}
-      <div className="mb-6 flex flex-col gap-4 md:flex-row md:items-center">
-        <div className="flex items-center gap-2 flex-1">
-          <Input
-            placeholder="Search orders..."
-            value={filters.search}
-            onChange={(e) => setFilters(prev => ({ ...prev, search: e.target.value }))}
-            className="h-8 w-[300px]"
-          />
-        </div>
-        <div className="flex flex-wrap items-center gap-2">
-          <Select
-            value={filters.status}
-            onValueChange={(value) => setFilters(prev => ({ ...prev, status: value }))}
-          >
-            <SelectTrigger className="h-8 w-[180px]">
-              <SelectValue placeholder="Status" />
-            </SelectTrigger>
-            <SelectContent>
-              <SelectItem value="all">All Statuses</SelectItem>
-              {filterOptions.statuses.map(status => (
-                <SelectItem key={status} value={status}>{status}</SelectItem>
-              ))}
-            </SelectContent>
-          </Select>
-          <Select
-            value={filters.vendor}
-            onValueChange={(value) => setFilters(prev => ({ ...prev, vendor: value }))}
-          >
-            <SelectTrigger className="h-8 w-[180px]">
-              <SelectValue placeholder="Vendor" />
-            </SelectTrigger>
-            <SelectContent>
-              <SelectItem value="all">All Vendors</SelectItem>
-              {filterOptions.vendors.map(vendor => (
-                <SelectItem key={vendor} value={vendor}>{vendor}</SelectItem>
-              ))}
-            </SelectContent>
-          </Select>
-        </div>
+      <div className="mb-4 flex items-center gap-4">
+        <Input
+          placeholder="Search orders..."
+          value={filters.search}
+          onChange={(e) => setFilters(prev => ({ ...prev, search: e.target.value }))}
+          className="max-w-xs"
+        />
+        <Select
+          value={filters.status}
+          onValueChange={(value) => setFilters(prev => ({ ...prev, status: value }))}
+        >
+          <SelectTrigger className="w-[180px]">
+            <SelectValue placeholder="Select status" />
+          </SelectTrigger>
+          <SelectContent>
+            {STATUS_FILTER_OPTIONS.map(option => (
+              <SelectItem key={option.value} value={option.value}>
+                {option.label}
+              </SelectItem>
+            ))}
+          </SelectContent>
+        </Select>
+        <Select
+          value={filters.vendor}
+          onValueChange={(value) => setFilters(prev => ({ ...prev, vendor: value }))}
+        >
+          <SelectTrigger className="w-[180px]">
+            <SelectValue placeholder="Select vendor" />
+          </SelectTrigger>
+          <SelectContent>
+            <SelectItem value="all">All Vendors</SelectItem>
+            {filterOptions.vendors.map(vendor => (
+              <SelectItem key={vendor} value={vendor}>
+                {vendor}
+              </SelectItem>
+            ))}
+          </SelectContent>
+        </Select>
       </div>
 
       {/* Purchase Orders Table */}
@@ -343,7 +370,7 @@ export default function PurchaseOrders() {
                   <TableCell>{po.id}</TableCell>
                   <TableCell>{po.vendor_name}</TableCell>
                   <TableCell>{new Date(po.order_date).toLocaleDateString()}</TableCell>
-                  <TableCell>{getStatusBadge(po.status)}</TableCell>
+                  <TableCell>{getStatusBadge(po.status, po.receiving_status)}</TableCell>
                   <TableCell>{po.total_items.toLocaleString()}</TableCell>
                   <TableCell>{po.total_quantity.toLocaleString()}</TableCell>
                   <TableCell>${formatNumber(po.total_cost)}</TableCell>

inventory/src/types/products.ts

@@ -1,16 +1,16 @@
 export interface Product {
-  product_id: number;
+  pid: number;
   title: string;
   SKU: string;
   stock_quantity: number;
-  price: number;
-  regular_price: number;
-  cost_price: number;
-  landing_cost_price: number | null;
+  price: string;  // DECIMAL(15,3)
+  regular_price: string;  // DECIMAL(15,3)
+  cost_price: string;  // DECIMAL(15,3)
+  landing_cost_price: string | null;  // DECIMAL(15,3)
   barcode: string;
   vendor: string;
   vendor_reference: string;
-  brand: string;
+  brand: string | 'Unbranded';
   categories: string[];
   tags: string[];
   options: Record<string, any>;
@@ -24,32 +24,32 @@ export interface Product {
   updated_at: string;
   
   // Metrics
-  daily_sales_avg?: number;
-  weekly_sales_avg?: number;
-  monthly_sales_avg?: number;
-  avg_quantity_per_order?: number;
+  daily_sales_avg?: string;  // DECIMAL(15,3)
+  weekly_sales_avg?: string;  // DECIMAL(15,3)
+  monthly_sales_avg?: string;  // DECIMAL(15,3)
+  avg_quantity_per_order?: string;  // DECIMAL(15,3)
   number_of_orders?: number;
   first_sale_date?: string;
   last_sale_date?: string;
   last_purchase_date?: string;
-  days_of_inventory?: number;
-  weeks_of_inventory?: number;
-  reorder_point?: number;
-  safety_stock?: number;
-  avg_margin_percent?: number;
-  total_revenue?: number;
-  inventory_value?: number;
-  cost_of_goods_sold?: number;
-  gross_profit?: number;
-  gmroi?: number;
-  avg_lead_time_days?: number;
+  days_of_inventory?: string;  // DECIMAL(15,3)
+  weeks_of_inventory?: string;  // DECIMAL(15,3)
+  reorder_point?: string;  // DECIMAL(15,3)
+  safety_stock?: string;  // DECIMAL(15,3)
+  avg_margin_percent?: string;  // DECIMAL(15,3)
+  total_revenue?: string;  // DECIMAL(15,3)
+  inventory_value?: string;  // DECIMAL(15,3)
+  cost_of_goods_sold?: string;  // DECIMAL(15,3)
+  gross_profit?: string;  // DECIMAL(15,3)
+  gmroi?: string;  // DECIMAL(15,3)
+  avg_lead_time_days?: string;  // DECIMAL(15,3)
   last_received_date?: string;
   abc_class?: string;
   stock_status?: string;
-  turnover_rate?: number;
-  current_lead_time?: number;
-  target_lead_time?: number;
+  turnover_rate?: string;  // DECIMAL(15,3)
+  current_lead_time?: string;  // DECIMAL(15,3)
+  target_lead_time?: string;  // DECIMAL(15,3)
   lead_time_status?: string;
   reorder_qty?: number;
-  overstocked_amt?: number;
+  overstocked_amt?: string;  // DECIMAL(15,3)
 }

inventory/src/types/status-codes.ts

@@ -0,0 +1,81 @@
+// Purchase Order Status Codes
+export enum PurchaseOrderStatus {
+  Canceled = 0,
+  Created = 1,
+  ElectronicallyReadySend = 10,
+  Ordered = 11,
+  Preordered = 12,
+  ElectronicallySent = 13,
+  ReceivingStarted = 15,
+  Done = 50
+}
+
+// Receiving Status Codes
+export enum ReceivingStatus {
+  Canceled = 0,
+  Created = 1,
+  PartialReceived = 30,
+  FullReceived = 40,
+  Paid = 50
+}
+
+// Status Code Display Names
+export const PurchaseOrderStatusLabels: Record<PurchaseOrderStatus, string> = {
+  [PurchaseOrderStatus.Canceled]: 'Canceled',
+  [PurchaseOrderStatus.Created]: 'Created',
+  [PurchaseOrderStatus.ElectronicallyReadySend]: 'Ready to Send',
+  [PurchaseOrderStatus.Ordered]: 'Ordered',
+  [PurchaseOrderStatus.Preordered]: 'Preordered',
+  [PurchaseOrderStatus.ElectronicallySent]: 'Sent',
+  [PurchaseOrderStatus.ReceivingStarted]: 'Receiving Started',
+  [PurchaseOrderStatus.Done]: 'Done'
+};
+
+export const ReceivingStatusLabels: Record<ReceivingStatus, string> = {
+  [ReceivingStatus.Canceled]: 'Canceled',
+  [ReceivingStatus.Created]: 'Created',
+  [ReceivingStatus.PartialReceived]: 'Partially Received',
+  [ReceivingStatus.FullReceived]: 'Fully Received',
+  [ReceivingStatus.Paid]: 'Paid'
+};
+
+// Helper functions
+export function getPurchaseOrderStatusLabel(status: number): string {
+  return PurchaseOrderStatusLabels[status as PurchaseOrderStatus] || 'Unknown';
+}
+
+export function getReceivingStatusLabel(status: number): string {
+  return ReceivingStatusLabels[status as ReceivingStatus] || 'Unknown';
+}
+
+// Status checks
+export function isReceivingComplete(status: number): boolean {
+  return status >= ReceivingStatus.PartialReceived;
+}
+
+export function isPurchaseOrderComplete(status: number): boolean {
+  return status === PurchaseOrderStatus.Done;
+}
+
+export function isPurchaseOrderCanceled(status: number): boolean {
+  return status === PurchaseOrderStatus.Canceled;
+}
+
+export function isReceivingCanceled(status: number): boolean {
+  return status === ReceivingStatus.Canceled;
+}
+
+// Badge variants for different statuses
+export function getPurchaseOrderStatusVariant(status: number): 'default' | 'secondary' | 'destructive' | 'outline' {
+  if (isPurchaseOrderCanceled(status)) return 'destructive';
+  if (isPurchaseOrderComplete(status)) return 'default';
+  if (status >= PurchaseOrderStatus.ElectronicallyReadySend) return 'secondary';
+  return 'outline';
+}
+
+export function getReceivingStatusVariant(status: number): 'default' | 'secondary' | 'destructive' | 'outline' {
+  if (isReceivingCanceled(status)) return 'destructive';
+  if (status === ReceivingStatus.Paid) return 'default';
+  if (status >= ReceivingStatus.PartialReceived) return 'secondary';
+  return 'outline';
+}