Add more tables to db and processing to import script, add error logging to import, add test data snapshots (untested)

inventory-server/db/schema.sql

@@ -30,6 +30,67 @@ CREATE TABLE IF NOT EXISTS products (
     INDEX idx_brand (brand)
 );
 
+-- New table for product metrics
+CREATE TABLE IF NOT EXISTS product_metrics (
+    product_id BIGINT NOT NULL,
+    last_calculated_at TIMESTAMP NOT NULL,
+    -- Sales velocity metrics
+    daily_sales_avg DECIMAL(10,3),
+    weekly_sales_avg DECIMAL(10,3),
+    monthly_sales_avg DECIMAL(10,3),
+    -- Stock metrics
+    days_of_inventory INT,
+    weeks_of_inventory INT,
+    reorder_point INT,
+    safety_stock INT,
+    -- Financial metrics
+    avg_margin_percent DECIMAL(10,3),
+    total_revenue DECIMAL(10,3),
+    -- Purchase metrics
+    avg_lead_time_days INT,
+    last_purchase_date DATE,
+    last_received_date DATE,
+    -- Classification
+    abc_class CHAR(1),
+    stock_status VARCHAR(20),
+    PRIMARY KEY (product_id),
+    FOREIGN KEY (product_id) REFERENCES products(product_id) ON DELETE CASCADE
+);
+
+-- New table for time-based aggregates
+CREATE TABLE IF NOT EXISTS product_time_aggregates (
+    product_id BIGINT NOT NULL,
+    year INT NOT NULL,
+    month INT NOT NULL,
+    -- Sales metrics
+    total_quantity_sold INT DEFAULT 0,
+    total_revenue DECIMAL(10,3) DEFAULT 0,
+    total_cost DECIMAL(10,3) DEFAULT 0,
+    order_count INT DEFAULT 0,
+    -- Stock changes
+    stock_received INT DEFAULT 0,
+    stock_ordered INT DEFAULT 0,
+    -- Calculated fields
+    avg_price DECIMAL(10,3),
+    profit_margin DECIMAL(10,3),
+    PRIMARY KEY (product_id, year, month),
+    FOREIGN KEY (product_id) REFERENCES products(product_id) ON DELETE CASCADE,
+    INDEX idx_date (year, month)
+);
+
+-- New table for vendor performance
+CREATE TABLE IF NOT EXISTS vendor_metrics (
+    vendor VARCHAR(100) NOT NULL,
+    last_calculated_at TIMESTAMP NOT NULL,
+    avg_lead_time_days DECIMAL(10,3),
+    on_time_delivery_rate DECIMAL(5,2),
+    order_fill_rate DECIMAL(5,2),
+    total_orders INT,
+    total_late_orders INT,
+    PRIMARY KEY (vendor),
+    FOREIGN KEY (vendor) REFERENCES products(vendor) ON DELETE CASCADE
+);
+
 CREATE TABLE IF NOT EXISTS orders (
     id BIGINT AUTO_INCREMENT PRIMARY KEY,
     order_number VARCHAR(50) NOT NULL,
@@ -98,3 +159,47 @@ CREATE TABLE IF NOT EXISTS product_categories (
     INDEX idx_category (category_id),
     INDEX idx_product (product_id)
 );
+
+-- Create views for common calculations
+CREATE OR REPLACE VIEW product_sales_trends AS
+SELECT 
+    p.product_id,
+    p.SKU,
+    p.title,
+    COALESCE(SUM(o.quantity), 0) as total_sold,
+    COALESCE(AVG(o.quantity), 0) as avg_quantity_per_order,
+    COALESCE(COUNT(DISTINCT o.order_number), 0) as number_of_orders,
+    MIN(o.date) as first_sale_date,
+    MAX(o.date) as last_sale_date
+FROM 
+    products p
+LEFT JOIN 
+    orders o ON p.product_id = o.product_id
+WHERE 
+    o.canceled = false
+GROUP BY 
+    p.product_id, p.SKU, p.title;
+
+-- Create view for inventory health
+CREATE OR REPLACE VIEW inventory_health AS
+SELECT 
+    p.product_id,
+    p.SKU,
+    p.title,
+    p.stock_quantity,
+    pm.daily_sales_avg,
+    pm.days_of_inventory,
+    pm.reorder_point,
+    pm.safety_stock,
+    CASE 
+        WHEN p.stock_quantity <= pm.safety_stock THEN 'Critical'
+        WHEN p.stock_quantity <= pm.reorder_point THEN 'Reorder'
+        WHEN p.stock_quantity > (pm.daily_sales_avg * 90) THEN 'Overstocked'
+        ELSE 'Healthy'
+    END as stock_status
+FROM 
+    products p
+LEFT JOIN 
+    product_metrics pm ON p.product_id = pm.product_id
+WHERE 
+    p.managing_stock = true; 

inventory-server/scripts/create-test-snapshot.js

@@ -0,0 +1,115 @@
+const fs = require('fs');
+const path = require('path');
+const mysql = require('mysql2/promise');
+const dotenv = require('dotenv');
+
+dotenv.config({ path: path.join(__dirname, '../.env') });
+
+const dbConfig = {
+    host: process.env.DB_HOST,
+    user: process.env.DB_USER,
+    password: process.env.DB_PASSWORD,
+    database: process.env.DB_NAME,
+    multipleStatements: true
+};
+
+const SNAPSHOTS_DIR = path.join(__dirname, '../snapshots');
+
+async function createSnapshot() {
+    console.log('Creating test database snapshot...');
+    const pool = mysql.createPool(dbConfig);
+    
+    try {
+        const connection = await pool.getConnection();
+        try {
+            // Create snapshots directory if it doesn't exist
+            if (!fs.existsSync(SNAPSHOTS_DIR)) {
+                fs.mkdirSync(SNAPSHOTS_DIR, { recursive: true });
+            }
+            
+            // Get categories
+            const [categories] = await connection.query(`
+                SELECT id, name, created_at
+                FROM categories
+                LIMIT 10
+            `);
+            
+            // Get a diverse set of ~100 products
+            const [products] = await connection.query(`
+                SELECT p.*
+                FROM products p
+                WHERE EXISTS (
+                    SELECT 1 FROM orders o WHERE o.product_id = p.product_id
+                    UNION
+                    SELECT 1 FROM purchase_orders po WHERE po.product_id = p.product_id
+                )
+                ORDER BY RAND()
+                LIMIT 100
+            `);
+            
+            // Get product_categories for selected products
+            const [product_categories] = await connection.query(`
+                SELECT pc.product_id, pc.category_id
+                FROM product_categories pc
+                WHERE pc.product_id IN (?)
+            `, [products.map(p => p.product_id)]);
+            
+            // Get orders for selected products (last 6 months)
+            const [orders] = await connection.query(`
+                SELECT o.*
+                FROM orders o
+                WHERE o.product_id IN (?)
+                AND o.date >= DATE_SUB(NOW(), INTERVAL 6 MONTH)
+                ORDER BY o.date DESC
+            `, [products.map(p => p.product_id)]);
+            
+            // Get purchase orders for selected products (last 6 months)
+            const [purchase_orders] = await connection.query(`
+                SELECT po.*
+                FROM purchase_orders po
+                WHERE po.product_id IN (?)
+                AND po.date >= DATE_SUB(NOW(), INTERVAL 6 MONTH)
+                ORDER BY po.date DESC
+            `, [products.map(p => p.product_id)]);
+            
+            // Create snapshot object
+            const snapshot = {
+                metadata: {
+                    created_at: new Date().toISOString(),
+                    description: 'Test snapshot with ~100 diverse products and their related data'
+                },
+                categories,
+                products,
+                product_categories,
+                orders,
+                purchase_orders
+            };
+            
+            // Save snapshot
+            const snapshotPath = path.join(SNAPSHOTS_DIR, 'test_snapshot.json');
+            fs.writeFileSync(snapshotPath, JSON.stringify(snapshot, null, 2));
+            
+            console.log('Snapshot created successfully:');
+            console.log('Products:', products.length);
+            console.log('Orders:', orders.length);
+            console.log('Purchase Orders:', purchase_orders.length);
+            console.log('Categories:', categories.length);
+            console.log('Saved to:', snapshotPath);
+            
+        } finally {
+            connection.release();
+        }
+    } catch (error) {
+        console.error('Error creating snapshot:', error);
+        throw error;
+    } finally {
+        await pool.end();
+    }
+}
+
+// Create snapshot if run directly
+if (require.main === module) {
+    createSnapshot().catch(console.error);
+}
+
+module.exports = { createSnapshot }; 

inventory-server/scripts/import-csv.js

@@ -23,6 +23,37 @@ const dbConfig = {
     namedPlaceholders: true
 };
 
+// Set up logging
+const LOG_DIR = path.join(__dirname, '../logs');
+const ERROR_LOG = path.join(LOG_DIR, 'import-errors.log');
+const IMPORT_LOG = path.join(LOG_DIR, 'import.log');
+
+// Ensure log directory exists
+if (!fs.existsSync(LOG_DIR)) {
+    fs.mkdirSync(LOG_DIR, { recursive: true });
+}
+
+// Helper function to log errors
+function logError(error, context = '') {
+    const timestamp = new Date().toISOString();
+    const errorMessage = `[${timestamp}] ${context}\nError: ${error.message}\nStack: ${error.stack}\n\n`;
+    
+    // Log to error file
+    fs.appendFileSync(ERROR_LOG, errorMessage);
+    
+    // Also log to console
+    console.error(`\n${context}\nError: ${error.message}`);
+}
+
+// Helper function to log import progress
+function logImport(message) {
+    const timestamp = new Date().toISOString();
+    const logMessage = `[${timestamp}] ${message}\n`;
+    
+    // Log to import file
+    fs.appendFileSync(IMPORT_LOG, logMessage);
+}
+
 // Helper function to output progress in JSON format
 function outputProgress(data) {
     if (!data.status) {
@@ -31,6 +62,11 @@ function outputProgress(data) {
             ...data
         };
     }
+    
+    // Log progress to import log
+    logImport(JSON.stringify(data));
+    
+    // Output to console
     console.log(JSON.stringify(data));
 }
 
@@ -137,6 +173,306 @@ async function handleCategories(connection, productId, categoriesStr) {
     }
 }
 
+// Helper function to calculate sales velocity metrics
+async function calculateSalesVelocity(connection, productId) {
+    const [rows] = await connection.query(`
+        SELECT 
+            COALESCE(COUNT(*) / NULLIF(DATEDIFF(MAX(date), MIN(date)), 0), 0) as daily_sales_avg,
+            COALESCE(SUM(quantity) / NULLIF(DATEDIFF(MAX(date), MIN(date)), 0) * 7, 0) as weekly_sales_avg,
+            COALESCE(SUM(quantity) / NULLIF(DATEDIFF(MAX(date), MIN(date)), 0) * 30, 0) as monthly_sales_avg
+        FROM orders 
+        WHERE product_id = ? AND canceled = false
+        GROUP BY product_id
+    `, [productId]);
+    
+    return rows[0] || { daily_sales_avg: 0, weekly_sales_avg: 0, monthly_sales_avg: 0 };
+}
+
+// Helper function to calculate stock metrics
+async function calculateStockMetrics(connection, productId, dailySalesAvg) {
+    const [product] = await connection.query(
+        'SELECT stock_quantity FROM products WHERE product_id = ?',
+        [productId]
+    );
+    
+    if (!product[0]) return null;
+    
+    const stockQty = product[0].stock_quantity;
+    const daysOfInventory = dailySalesAvg > 0 ? Math.floor(stockQty / dailySalesAvg) : 999;
+    const weeksOfInventory = Math.floor(daysOfInventory / 7);
+    
+    // Calculate safety stock (2 weeks of average sales)
+    const safetyStock = Math.ceil(dailySalesAvg * 14);
+    
+    // Calculate reorder point (safety stock + 1 week of sales)
+    const reorderPoint = Math.ceil(safetyStock + (dailySalesAvg * 7));
+    
+    return {
+        days_of_inventory: daysOfInventory,
+        weeks_of_inventory: weeksOfInventory,
+        safety_stock: safetyStock,
+        reorder_point: reorderPoint
+    };
+}
+
+// Helper function to calculate financial metrics
+async function calculateFinancialMetrics(connection, productId) {
+    const [rows] = await connection.query(`
+        SELECT 
+            SUM(o.price * o.quantity) as total_revenue,
+            AVG((o.price - p.cost_price) / o.price * 100) as avg_margin_percent
+        FROM orders o
+        JOIN products p ON o.product_id = p.product_id
+        WHERE o.product_id = ? AND o.canceled = false
+        GROUP BY o.product_id
+    `, [productId]);
+    
+    return rows[0] || { total_revenue: 0, avg_margin_percent: 0 };
+}
+
+// Helper function to calculate purchase metrics
+async function calculatePurchaseMetrics(connection, productId) {
+    const [rows] = await connection.query(`
+        SELECT 
+            AVG(DATEDIFF(received_date, date)) as avg_lead_time_days,
+            MAX(date) as last_purchase_date,
+            MAX(received_date) as last_received_date
+        FROM purchase_orders
+        WHERE product_id = ? AND status = 'closed'
+        GROUP BY product_id
+    `, [productId]);
+    
+    return rows[0] || { 
+        avg_lead_time_days: 0, 
+        last_purchase_date: null, 
+        last_received_date: null 
+    };
+}
+
+// Helper function to calculate ABC classification
+async function calculateABCClass(connection, productId) {
+    // Get total revenue for this product
+    const [productRevenue] = await connection.query(`
+        SELECT SUM(price * quantity) as revenue
+        FROM orders
+        WHERE product_id = ? AND canceled = false
+    `, [productId]);
+    
+    // Get total revenue across all products
+    const [totalRevenue] = await connection.query(`
+        SELECT SUM(price * quantity) as total
+        FROM orders
+        WHERE canceled = false
+    `);
+    
+    const revenue = productRevenue[0]?.revenue || 0;
+    const total = totalRevenue[0]?.total || 0;
+    
+    if (total === 0) return 'C';
+    
+    const percentage = (revenue / total) * 100;
+    
+    // A: Top 20% of revenue
+    // B: Next 30% of revenue
+    // C: Remaining 50% of revenue
+    if (percentage >= 20) return 'A';
+    if (percentage >= 5) return 'B';
+    return 'C';
+}
+
+// Helper function to calculate time-based aggregates
+async function calculateTimeAggregates(connection, productId) {
+    await connection.query(`
+        INSERT INTO product_time_aggregates (
+            product_id, year, month,
+            total_quantity_sold, total_revenue, total_cost,
+            order_count, stock_received, stock_ordered,
+            avg_price, profit_margin
+        )
+        SELECT 
+            o.product_id,
+            YEAR(o.date) as year,
+            MONTH(o.date) as month,
+            SUM(o.quantity) as total_quantity_sold,
+            SUM(o.price * o.quantity) as total_revenue,
+            SUM(p.cost_price * o.quantity) as total_cost,
+            COUNT(DISTINCT o.order_number) as order_count,
+            COALESCE(SUM(po.received), 0) as stock_received,
+            COALESCE(SUM(po.ordered), 0) as stock_ordered,
+            AVG(o.price) as avg_price,
+            CASE 
+                WHEN SUM(o.price * o.quantity) = 0 THEN 0
+                ELSE ((SUM(o.price * o.quantity) - COALESCE(SUM(p.cost_price * o.quantity), 0)) / 
+                      NULLIF(SUM(o.price * o.quantity), 0) * 100)
+            END as profit_margin
+        FROM orders o
+        JOIN products p ON o.product_id = p.product_id
+        LEFT JOIN purchase_orders po ON o.product_id = po.product_id 
+            AND YEAR(o.date) = YEAR(po.date) 
+            AND MONTH(o.date) = MONTH(po.date)
+        WHERE o.product_id = ? AND o.canceled = false
+        GROUP BY o.product_id, 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),
+            stock_received = VALUES(stock_received),
+            stock_ordered = VALUES(stock_ordered),
+            avg_price = VALUES(avg_price),
+            profit_margin = VALUES(profit_margin)
+    `, [productId]);
+}
+
+// Helper function to calculate vendor metrics
+async function calculateVendorMetrics(connection) {
+    try {
+        // Get list of vendors
+        const [vendors] = await connection.query('SELECT DISTINCT vendor FROM products WHERE vendor IS NOT NULL');
+        const startTime = Date.now();
+        let current = 0;
+        const total = vendors.length;
+
+        outputProgress({
+            operation: 'Calculating vendor metrics',
+            current: 0,
+            total,
+            percentage: '0.0'
+        });
+
+        for (const { vendor } of vendors) {
+            // Calculate average lead time
+            const [leadTimeResult] = await connection.query(`
+                SELECT 
+                    AVG(DATEDIFF(received_date, date)) as avg_lead_time,
+                    COUNT(*) as total_orders,
+                    SUM(CASE WHEN ordered = received THEN 1 ELSE 0 END) as fulfilled_orders
+                FROM purchase_orders 
+                WHERE vendor = ? AND status = 'closed'
+                GROUP BY vendor
+            `, [vendor]);
+
+            const metrics = leadTimeResult[0] || { 
+                avg_lead_time: 0, 
+                total_orders: 0, 
+                fulfilled_orders: 0 
+            };
+
+            // Calculate fill rate
+            const fillRate = metrics.total_orders > 0 ? 
+                (metrics.fulfilled_orders / metrics.total_orders * 100) : 0;
+
+            // Update vendor metrics
+            await connection.query(`
+                INSERT INTO vendor_metrics (
+                    vendor,
+                    avg_lead_time_days,
+                    total_orders,
+                    fulfilled_orders,
+                    fill_rate
+                ) VALUES (?, ?, ?, ?, ?)
+                ON DUPLICATE KEY UPDATE
+                    avg_lead_time_days = VALUES(avg_lead_time_days),
+                    total_orders = VALUES(total_orders),
+                    fulfilled_orders = VALUES(fulfilled_orders),
+                    fill_rate = VALUES(fill_rate)
+            `, [
+                vendor,
+                metrics.avg_lead_time || 0,
+                metrics.total_orders,
+                metrics.fulfilled_orders,
+                fillRate
+            ]);
+
+            current++;
+            updateProgress(current, total, 'Calculating vendor metrics', startTime);
+        }
+
+        outputProgress({
+            status: 'complete',
+            operation: 'Vendor metrics calculation completed',
+            current: total,
+            total,
+            percentage: '100.0'
+        });
+    } catch (error) {
+        logError(error, 'Error calculating vendor metrics');
+        throw error;
+    }
+}
+
+// Helper function to update product metrics
+async function updateProductMetrics(connection, productId, startTime, current, total) {
+    try {
+        // Calculate sales velocity metrics
+        const velocityMetrics = await calculateSalesVelocity(connection, productId);
+        
+        // Calculate stock metrics
+        const stockMetrics = await calculateStockMetrics(connection, productId, velocityMetrics.daily_sales_avg);
+        
+        // Calculate financial metrics
+        const financialMetrics = await calculateFinancialMetrics(connection, productId);
+        
+        // Calculate purchase metrics
+        const purchaseMetrics = await calculatePurchaseMetrics(connection, productId);
+        
+        // Update metrics in database
+        await connection.query(`
+            INSERT INTO product_metrics (
+                product_id,
+                daily_sales_avg,
+                weekly_sales_avg,
+                monthly_sales_avg,
+                days_of_inventory,
+                weeks_of_inventory,
+                safety_stock,
+                reorder_point,
+                total_revenue,
+                avg_margin_percent,
+                avg_lead_time_days,
+                last_purchase_date,
+                last_received_date
+            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+            ON DUPLICATE KEY UPDATE
+                daily_sales_avg = VALUES(daily_sales_avg),
+                weekly_sales_avg = VALUES(weekly_sales_avg),
+                monthly_sales_avg = VALUES(monthly_sales_avg),
+                days_of_inventory = VALUES(days_of_inventory),
+                weeks_of_inventory = VALUES(weeks_of_inventory),
+                safety_stock = VALUES(safety_stock),
+                reorder_point = VALUES(reorder_point),
+                total_revenue = VALUES(total_revenue),
+                avg_margin_percent = VALUES(avg_margin_percent),
+                avg_lead_time_days = VALUES(avg_lead_time_days),
+                last_purchase_date = VALUES(last_purchase_date),
+                last_received_date = VALUES(last_received_date)
+        `, [
+            productId,
+            velocityMetrics.daily_sales_avg,
+            velocityMetrics.weekly_sales_avg,
+            velocityMetrics.monthly_sales_avg,
+            stockMetrics?.days_of_inventory || 0,
+            stockMetrics?.weeks_of_inventory || 0,
+            stockMetrics?.safety_stock || 0,
+            stockMetrics?.reorder_point || 0,
+            financialMetrics.total_revenue,
+            financialMetrics.avg_margin_percent,
+            purchaseMetrics.avg_lead_time_days,
+            purchaseMetrics.last_purchase_date,
+            purchaseMetrics.last_received_date
+        ]);
+
+        // Output progress every 5 products or every second
+        if (current % 5 === 0 || Date.now() - startTime > 1000) {
+            updateProgress(current, total, 'Calculating product metrics', startTime);
+            startTime = Date.now();
+        }
+    } catch (error) {
+        logError(error, `Error updating metrics for product ${productId}`);
+        throw error;
+    }
+}
+
 async function importProducts(pool, filePath) {
     const parser = fs.createReadStream(filePath).pipe(csv.parse({ columns: true, trim: true }));
     const totalRows = PRODUCTS_TEST_LIMIT > 0 ? Math.min(await countRows(filePath), PRODUCTS_TEST_LIMIT) : await countRows(filePath);
@@ -172,6 +508,10 @@ async function importProducts(pool, filePath) {
     let batch = [];
     let categoryUpdates = new Map(); // Store category updates for batch processing
     
+    // Get a connection from the pool that we'll reuse
+    const connection = await pool.getConnection();
+    
+    try {
         for await (const record of parser) {
             if (PRODUCTS_TEST_LIMIT > 0 && rowCount >= PRODUCTS_TEST_LIMIT) {
                 // Process remaining batch
@@ -223,7 +563,6 @@ async function importProducts(pool, filePath) {
                 uom: parseInt(record.uom) || 1
             });
             
-        // Store category updates for later
             if (record.categories) {
                 categoryUpdates.set(record.product_id, record.categories);
             }
@@ -251,12 +590,19 @@ async function importProducts(pool, filePath) {
             duration: formatDuration((Date.now() - startTime) / 1000),
             percentage: '100'
         });
+    } catch (error) {
+        console.error('Error during products import:', error);
+        throw error;
+    } finally {
+        if (connection) {
+            connection.release();
+        }
+    }
 
     // Helper function to process a batch of records
     async function processBatch(records, categoryUpdates) {
         if (records.length === 0) return;
 
-        const connection = await pool.getConnection();
         try {
             await connection.beginTransaction();
             try {
@@ -301,12 +647,6 @@ async function importProducts(pool, filePath) {
                 
                 // Update stats
                 if (result.affectedRows > 0) {
-                    // For INSERT ... ON DUPLICATE KEY UPDATE:
-                    // - If a row is inserted, affectedRows = 1
-                    // - If a row is updated, affectedRows = 2
-                    // So we can calculate:
-                    // - Number of inserts = number of rows where affectedRows = 1
-                    // - Number of updates = number of rows where affectedRows = 2
                     const insertCount = result.affectedRows - result.changedRows;
                     const updateCount = result.changedRows;
                     added += insertCount;
@@ -321,13 +661,12 @@ async function importProducts(pool, filePath) {
                 await connection.commit();
             } catch (error) {
                 await connection.rollback();
+                logError(error, `Error processing batch of ${records.length} records`);
                 throw error;
             }
         } catch (error) {
-            console.error(`\nError processing batch:`, error.message);
+            logError(error, `Error in batch processing:\nFirst record: ${JSON.stringify(records[0])}`);
             // Continue with next batch instead of failing completely
-        } finally {
-            connection.release();
         }
     }
 }
@@ -674,9 +1013,11 @@ async function main() {
     });
     
     const startTime = Date.now();
-    const pool = mysql.createPool(dbConfig);
+    let pool;
     
     try {
+        pool = mysql.createPool(dbConfig);
+        
         // Check if tables exist, if not create them
         outputProgress({
             operation: 'Checking database schema',
@@ -686,6 +1027,8 @@ async function main() {
         const schemaSQL = fs.readFileSync(path.join(__dirname, '../db/schema.sql'), 'utf8');
         await pool.query(schemaSQL);
         
+        // Step 1: Import all data first
+        try {
             // Import products first since they're referenced by other tables
             await importProducts(pool, path.join(__dirname, '../csv/39f2x83-products.csv'));
 
@@ -700,21 +1043,85 @@ async function main() {
                 importPurchaseOrders(pool, path.join(__dirname, '../csv/39f2x83-purchase_orders.csv'))
             ]);
 
+            // Step 2: Calculate all metrics after imports are complete
+            outputProgress({
+                operation: 'Starting metrics calculation',
+                message: 'Calculating metrics for all products and vendors...'
+            });
+
+            const connection = await pool.getConnection();
+            try {
+                // Calculate product metrics
+                const [products] = await connection.query('SELECT DISTINCT product_id FROM products');
+                const totalProducts = products.length;
+                let processedProducts = 0;
+                const metricsStartTime = Date.now();
+
+                outputProgress({
+                    operation: 'Starting product metrics calculation',
+                    message: `Calculating metrics for ${totalProducts} products...`,
+                    current: 0,
+                    total: totalProducts,
+                    percentage: '0'
+                });
+
+                for (const product of products) {
+                    try {
+                        // Update progress every 5 products or 1 second
+                        if (processedProducts % 5 === 0 || (Date.now() - lastUpdate) > 1000) {
+                            updateProgress(processedProducts, totalProducts, 'Calculating product metrics', metricsStartTime);
+                            lastUpdate = Date.now();
+                        }
+
+                        await updateProductMetrics(connection, product.product_id, metricsStartTime, processedProducts, totalProducts);
+                        processedProducts++;
+                    } catch (error) {
+                        logError(error, `Error calculating metrics for product ${product.product_id}`);
+                        // Continue with next product instead of failing completely
+                    }
+                }
+
+                outputProgress({
+                    operation: 'Product metrics calculation completed',
+                    current: processedProducts,
+                    total: totalProducts,
+                    duration: formatDuration((Date.now() - metricsStartTime) / 1000),
+                    percentage: '100'
+                });
+
+                // Calculate vendor metrics
+                await calculateVendorMetrics(connection);
+
+            } finally {
+                connection.release();
+            }
+
+        } catch (error) {
+            logError(error, 'Error during import/metrics calculation');
+            throw error;
+        }
+        
         outputProgress({
             status: 'complete',
             operation: 'Import process completed',
             duration: formatDuration((Date.now() - startTime) / 1000)
         });
     } catch (error) {
+        logError(error, 'Fatal error during import process');
         outputProgress({
             status: 'error',
             error: error.message
         });
         process.exit(1);
     } finally {
+        if (pool) {
             await pool.end();
         }
+    }
 }
 
 // Run the import
-main(); 
+main().catch(error => {
+    logError(error, 'Unhandled error in main process');
+    process.exit(1);
+}); 

inventory-server/scripts/restore-test-snapshot.js

@@ -0,0 +1,129 @@
+const fs = require('fs');
+const path = require('path');
+const mysql = require('mysql2/promise');
+const dotenv = require('dotenv');
+
+dotenv.config({ path: path.join(__dirname, '../.env') });
+
+const dbConfig = {
+    host: process.env.DB_HOST,
+    user: process.env.DB_USER,
+    password: process.env.DB_PASSWORD,
+    database: process.env.DB_NAME,
+    multipleStatements: true
+};
+
+const SNAPSHOTS_DIR = path.join(__dirname, '../snapshots');
+
+async function restoreSnapshot() {
+    console.log('Restoring test database from snapshot...');
+    const pool = mysql.createPool(dbConfig);
+    
+    try {
+        // Read snapshot
+        const snapshotPath = path.join(SNAPSHOTS_DIR, 'test_snapshot.json');
+        if (!fs.existsSync(snapshotPath)) {
+            throw new Error('Snapshot file not found. Run create-test-snapshot.js first.');
+        }
+        
+        const snapshot = JSON.parse(fs.readFileSync(snapshotPath, 'utf8'));
+        
+        // First, create schema (this will drop existing tables)
+        const schemaSQL = fs.readFileSync(path.join(__dirname, '../db/schema.sql'), 'utf8');
+        await pool.query(schemaSQL);
+        
+        const connection = await pool.getConnection();
+        try {
+            await connection.beginTransaction();
+            
+            // Insert categories first (they're referenced by product_categories)
+            if (snapshot.categories.length > 0) {
+                const categoryValues = snapshot.categories.map(c => [c.id, c.name, c.created_at]);
+                await connection.query(
+                    'INSERT INTO categories (id, name, created_at) VALUES ?',
+                    [categoryValues]
+                );
+            }
+            
+            // Insert products
+            if (snapshot.products.length > 0) {
+                const productValues = snapshot.products.map(p => [
+                    p.product_id, p.title, p.SKU, p.created_at, p.stock_quantity,
+                    p.price, p.regular_price, p.cost_price, p.landing_cost_price,
+                    p.barcode, p.updated_at, p.visible, p.managing_stock,
+                    p.replenishable, p.vendor, p.vendor_reference, p.permalink,
+                    p.categories, p.image, p.brand, p.options, p.tags, p.moq, p.uom
+                ]);
+                await connection.query(
+                    'INSERT INTO products VALUES ?',
+                    [productValues]
+                );
+            }
+            
+            // Insert product_categories relationships
+            if (snapshot.product_categories.length > 0) {
+                const pcValues = snapshot.product_categories.map(pc => [
+                    pc.product_id, pc.category_id
+                ]);
+                await connection.query(
+                    'INSERT INTO product_categories (product_id, category_id) VALUES ?',
+                    [pcValues]
+                );
+            }
+            
+            // Insert orders
+            if (snapshot.orders.length > 0) {
+                const orderValues = snapshot.orders.map(o => [
+                    o.id, o.order_number, o.product_id, o.SKU, o.date,
+                    o.price, o.quantity, o.discount, o.tax, o.tax_included,
+                    o.shipping, o.customer, o.status, o.payment_method,
+                    o.shipping_method, o.shipping_address, o.billing_address,
+                    o.canceled
+                ]);
+                await connection.query(
+                    'INSERT INTO orders VALUES ?',
+                    [orderValues]
+                );
+            }
+            
+            // Insert purchase orders
+            if (snapshot.purchase_orders.length > 0) {
+                const poValues = snapshot.purchase_orders.map(po => [
+                    po.id, po.po_id, po.vendor, po.date, po.expected_date,
+                    po.product_id, po.sku, po.cost_price, po.status, po.notes,
+                    po.ordered, po.received, po.received_date
+                ]);
+                await connection.query(
+                    'INSERT INTO purchase_orders VALUES ?',
+                    [poValues]
+                );
+            }
+            
+            await connection.commit();
+            
+            console.log('Snapshot restored successfully:');
+            console.log('Products:', snapshot.products.length);
+            console.log('Orders:', snapshot.orders.length);
+            console.log('Purchase Orders:', snapshot.purchase_orders.length);
+            console.log('Categories:', snapshot.categories.length);
+            
+        } catch (error) {
+            await connection.rollback();
+            throw error;
+        } finally {
+            connection.release();
+        }
+    } catch (error) {
+        console.error('Error restoring snapshot:', error);
+        throw error;
+    } finally {
+        await pool.end();
+    }
+}
+
+// Restore snapshot if run directly
+if (require.main === module) {
+    restoreSnapshot().catch(console.error);
+}
+
+module.exports = { restoreSnapshot }; 

inventory/src/pages/Settings.tsx

@@ -58,6 +58,9 @@ export function Settings() {
     orders: 0,
     purchaseOrders: 0
   });
+  const [isCreatingSnapshot, setIsCreatingSnapshot] = useState(false);
+  const [isRestoringSnapshot, setIsRestoringSnapshot] = useState(false);
+  const [snapshotProgress, setSnapshotProgress] = useState<ImportProgress | null>(null);
 
   // Helper function to update progress state
   const updateProgressState = (progressData: any) => {
@@ -87,11 +90,15 @@ export function Settings() {
       setImportProgress(prev => ({ ...prev, ...progressUpdate }));
     } else if (operation.includes('purchase orders import')) {
       setPurchaseOrdersProgress(prev => ({ ...prev, ...progressUpdate }));
+    } else if (operation.includes('metrics') || operation.includes('vendor metrics')) {
+      setImportProgress(prev => ({ ...prev, ...progressUpdate }));
+    } else if (operation.includes('snapshot')) {
+      setSnapshotProgress(prev => ({ ...prev, ...progressUpdate }));
     }
   };
 
   // Helper to connect to event source
-  const connectToEventSource = useCallback((type: 'update' | 'import' | 'reset') => {
+  const connectToEventSource = useCallback((type: 'update' | 'import' | 'reset' | 'snapshot') => {
     if (eventSource) {
       eventSource.close();
     }
@@ -389,6 +396,63 @@ export function Settings() {
     }
   };
 
+  // Add handlers for snapshot operations
+  const handleCreateSnapshot = async () => {
+    try {
+      setIsCreatingSnapshot(true);
+      setSnapshotProgress({ status: 'running', operation: 'Creating test data snapshot' });
+      
+      // Connect to SSE for progress updates
+      connectToEventSource('snapshot');
+
+      const response = await fetch(`${config.apiUrl}/snapshot/create`, {
+        method: 'POST',
+        credentials: 'include'
+      });
+      
+      if (!response.ok) {
+        throw new Error('Failed to create snapshot');
+      }
+    } catch (error) {
+      console.error('Error creating snapshot:', error);
+      if (eventSource) {
+        eventSource.close();
+        setEventSource(null);
+      }
+      setIsCreatingSnapshot(false);
+      setSnapshotProgress(null);
+      toast.error('Failed to create snapshot');
+    }
+  };
+
+  const handleRestoreSnapshot = async () => {
+    try {
+      setIsRestoringSnapshot(true);
+      setSnapshotProgress({ status: 'running', operation: 'Restoring test data snapshot' });
+      
+      // Connect to SSE for progress updates
+      connectToEventSource('snapshot');
+
+      const response = await fetch(`${config.apiUrl}/snapshot/restore`, {
+        method: 'POST',
+        credentials: 'include'
+      });
+      
+      if (!response.ok) {
+        throw new Error('Failed to restore snapshot');
+      }
+    } catch (error) {
+      console.error('Error restoring snapshot:', error);
+      if (eventSource) {
+        eventSource.close();
+        setEventSource(null);
+      }
+      setIsRestoringSnapshot(false);
+      setSnapshotProgress(null);
+      toast.error('Failed to restore snapshot');
+    }
+  };
+
   // Cleanup on unmount
   useEffect(() => {
     return () => {
@@ -625,6 +689,30 @@ export function Settings() {
                     {renderProgress(purchaseOrdersProgress)}
                   </div>
                 )}
+                {/* Show metrics calculation progress */}
+                {importProgress?.operation?.toLowerCase().includes('metrics') && (
+                  <div>
+                    <Progress value={Number(importProgress.percentage)} className="mb-2" />
+                    <p className="text-sm text-muted-foreground">
+                      {importProgress.message || importProgress.operation || 'Calculating metrics...'}
+                      {importProgress.current && importProgress.total && (
+                        <> ({importProgress.current} of {importProgress.total})</>
+                      )}
+                    </p>
+                    {importProgress.elapsed && (
+                      <p className="text-xs text-muted-foreground">
+                        Elapsed: {importProgress.elapsed}
+                        {importProgress.remaining && <> • Remaining: {importProgress.remaining}</>}
+                      </p>
+                    )}
+                  </div>
+                )}
+                {/* Show vendor metrics progress */}
+                {importProgress?.operation?.toLowerCase().includes('vendor metrics') && (
+                  <div>
+                    {renderProgress(importProgress)}
+                  </div>
+                )}
               </div>
             )}
           </CardContent>
@@ -637,14 +725,9 @@ export function Settings() {
             <CardDescription>Drop all tables and recreate the database schema. This will delete ALL data.</CardDescription>
           </CardHeader>
           <CardContent>
-            <div className="flex gap-2">
             <AlertDialog>
               <AlertDialogTrigger asChild>
-                  <Button 
+                <Button variant="destructive" disabled={isResetting || isImporting || isUpdating}>
-                    variant="destructive"
-                    className="flex-1"
-                    disabled={isUpdating || isImporting}
-                  >
                   Reset Database
                 </Button>
               </AlertDialogTrigger>
@@ -652,21 +735,94 @@ export function Settings() {
                 <AlertDialogHeader>
                   <AlertDialogTitle>Are you absolutely sure?</AlertDialogTitle>
                   <AlertDialogDescription>
-                      This action cannot be undone. This will permanently delete all data
+                    This action cannot be undone. This will permanently delete all data from the database.
-                      from the database and reset it to its initial state.
                   </AlertDialogDescription>
                 </AlertDialogHeader>
                 <AlertDialogFooter>
                   <AlertDialogCancel>Cancel</AlertDialogCancel>
-                    <AlertDialogAction onClick={handleResetDB}>
+                  <AlertDialogAction onClick={handleResetDB}>Continue</AlertDialogAction>
-                      Reset Database
+                </AlertDialogFooter>
-                    </AlertDialogAction>
+              </AlertDialogContent>
+            </AlertDialog>
+            {resetProgress && (
+              <div className="mt-4">
+                <Progress value={Number(resetProgress.percentage)} className="mb-2" />
+                <p className="text-sm text-muted-foreground">
+                  {resetProgress.message || 'Resetting database...'}
+                </p>
+              </div>
+            )}
+          </CardContent>
+        </Card>
+
+        {/* Test Data Snapshots Card */}
+        <Card>
+          <CardHeader>
+            <CardTitle>Test Data Snapshots</CardTitle>
+            <CardDescription>Create and restore test data snapshots for development and testing.</CardDescription>
+          </CardHeader>
+          <CardContent className="space-y-4">
+            <div className="flex space-x-4">
+              <Button 
+                onClick={handleCreateSnapshot} 
+                disabled={isCreatingSnapshot || isRestoringSnapshot || isImporting || isUpdating || isResetting}
+              >
+                {isCreatingSnapshot ? (
+                  <>
+                    <Loader2 className="mr-2 h-4 w-4 animate-spin" />
+                    Creating Snapshot...
+                  </>
+                ) : (
+                  <>Create Snapshot</>
+                )}
+              </Button>
+              <AlertDialog>
+                <AlertDialogTrigger asChild>
+                  <Button 
+                    variant="secondary"
+                    disabled={isCreatingSnapshot || isRestoringSnapshot || isImporting || isUpdating || isResetting}
+                  >
+                    {isRestoringSnapshot ? (
+                      <>
+                        <Loader2 className="mr-2 h-4 w-4 animate-spin" />
+                        Restoring...
+                      </>
+                    ) : (
+                      <>Restore Snapshot</>
+                    )}
+                  </Button>
+                </AlertDialogTrigger>
+                <AlertDialogContent>
+                  <AlertDialogHeader>
+                    <AlertDialogTitle>Restore test data snapshot?</AlertDialogTitle>
+                    <AlertDialogDescription>
+                      This will replace your current database with the test data snapshot. Any unsaved changes will be lost.
+                    </AlertDialogDescription>
+                  </AlertDialogHeader>
+                  <AlertDialogFooter>
+                    <AlertDialogCancel>Cancel</AlertDialogCancel>
+                    <AlertDialogAction onClick={handleRestoreSnapshot}>Continue</AlertDialogAction>
                   </AlertDialogFooter>
                 </AlertDialogContent>
               </AlertDialog>
             </div>
-
+            {snapshotProgress && (
-            {isResetting && renderProgress(resetProgress)}
+              <div>
+                <Progress value={Number(snapshotProgress.percentage)} className="mb-2" />
+                <p className="text-sm text-muted-foreground">
+                  {snapshotProgress.message || 'Processing snapshot...'}
+                </p>
+              </div>
+            )}
+            <div className="text-sm text-muted-foreground">
+              <p>The test data snapshot includes:</p>
+              <ul className="list-disc list-inside mt-2">
+                <li>~100 diverse products with associated data</li>
+                <li>Orders from the last 6 months</li>
+                <li>Purchase orders from the last 6 months</li>
+                <li>Categories and product relationships</li>
+              </ul>
+            </div>
           </CardContent>
         </Card>