566 lines
23 KiB
JavaScript
566 lines
23 KiB
JavaScript
const path = require('path');
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// Change working directory to script directory
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process.chdir(path.dirname(__filename));
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require('dotenv').config({ path: path.resolve(__dirname, '..', '.env') });
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// Configuration flags for controlling which metrics to calculate
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// Set to 1 to skip the corresponding calculation, 0 to run it
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const SKIP_PRODUCT_METRICS = 1;
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const SKIP_TIME_AGGREGATES = 1;
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const SKIP_FINANCIAL_METRICS = 1;
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const SKIP_VENDOR_METRICS = 1;
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const SKIP_CATEGORY_METRICS = 1;
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const SKIP_BRAND_METRICS = 1;
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const SKIP_SALES_FORECASTS = 0;
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// Add error handler for uncaught exceptions
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process.on('uncaughtException', (error) => {
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console.error('Uncaught Exception:', error);
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process.exit(1);
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});
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// Add error handler for unhandled promise rejections
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process.on('unhandledRejection', (reason, promise) => {
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console.error('Unhandled Rejection at:', promise, 'reason:', reason);
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process.exit(1);
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});
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const progress = require('./metrics/utils/progress');
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console.log('Progress module loaded:', {
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modulePath: require.resolve('./metrics/utils/progress'),
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exports: Object.keys(progress),
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currentDir: process.cwd(),
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scriptDir: __dirname
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});
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// Store progress functions in global scope to ensure availability
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global.formatElapsedTime = progress.formatElapsedTime;
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global.estimateRemaining = progress.estimateRemaining;
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global.calculateRate = progress.calculateRate;
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global.outputProgress = progress.outputProgress;
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global.clearProgress = progress.clearProgress;
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global.getProgress = progress.getProgress;
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global.logError = progress.logError;
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const { getConnection, closePool } = require('./metrics/utils/db');
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const calculateProductMetrics = require('./metrics/product-metrics');
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const calculateTimeAggregates = require('./metrics/time-aggregates');
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const calculateFinancialMetrics = require('./metrics/financial-metrics');
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const calculateVendorMetrics = require('./metrics/vendor-metrics');
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const calculateCategoryMetrics = require('./metrics/category-metrics');
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const calculateBrandMetrics = require('./metrics/brand-metrics');
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const calculateSalesForecasts = require('./metrics/sales-forecasts');
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// Add cancel handler
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let isCancelled = false;
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function cancelCalculation() {
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isCancelled = true;
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global.clearProgress();
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// Format as SSE event
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const event = {
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progress: {
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status: 'cancelled',
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operation: 'Calculation cancelled',
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current: 0,
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total: 0,
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elapsed: null,
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remaining: null,
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rate: 0,
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timestamp: Date.now()
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}
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};
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process.stdout.write(JSON.stringify(event) + '\n');
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process.exit(0);
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}
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// Handle SIGTERM signal for cancellation
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process.on('SIGTERM', cancelCalculation);
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// Update the main calculation function to use the new modular structure
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async function calculateMetrics() {
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let connection;
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const startTime = Date.now();
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let processedProducts = 0;
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let processedOrders = 0;
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let processedPurchaseOrders = 0;
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let totalProducts = 0;
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let totalOrders = 0;
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let totalPurchaseOrders = 0;
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let calculateHistoryId;
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try {
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// Clean up any previously running calculations
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connection = await getConnection();
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await connection.query(`
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UPDATE calculate_history
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SET
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status = 'cancelled',
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end_time = NOW(),
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duration_seconds = TIMESTAMPDIFF(SECOND, start_time, NOW()),
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error_message = 'Previous calculation was not completed properly'
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WHERE status = 'running'
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`);
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// Get counts from all relevant tables
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const [[productCount], [orderCount], [poCount]] = await Promise.all([
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connection.query('SELECT COUNT(*) as total FROM products'),
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connection.query('SELECT COUNT(*) as total FROM orders'),
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connection.query('SELECT COUNT(*) as total FROM purchase_orders')
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]);
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totalProducts = productCount.total;
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totalOrders = orderCount.total;
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totalPurchaseOrders = poCount.total;
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// Create history record for this calculation
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const [historyResult] = await connection.query(`
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INSERT INTO calculate_history (
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start_time,
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status,
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total_products,
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total_orders,
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total_purchase_orders,
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additional_info
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) VALUES (
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NOW(),
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'running',
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?,
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?,
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?,
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JSON_OBJECT(
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'skip_product_metrics', ?,
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'skip_time_aggregates', ?,
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'skip_financial_metrics', ?,
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'skip_vendor_metrics', ?,
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'skip_category_metrics', ?,
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'skip_brand_metrics', ?,
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'skip_sales_forecasts', ?
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)
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)
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`, [
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totalProducts,
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totalOrders,
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totalPurchaseOrders,
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SKIP_PRODUCT_METRICS,
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SKIP_TIME_AGGREGATES,
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SKIP_FINANCIAL_METRICS,
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SKIP_VENDOR_METRICS,
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SKIP_CATEGORY_METRICS,
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SKIP_BRAND_METRICS,
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SKIP_SALES_FORECASTS
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]);
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calculateHistoryId = historyResult.insertId;
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connection.release();
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// Add debug logging for the progress functions
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console.log('Debug - Progress functions:', {
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formatElapsedTime: typeof global.formatElapsedTime,
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estimateRemaining: typeof global.estimateRemaining,
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calculateRate: typeof global.calculateRate,
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startTime: startTime
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});
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try {
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const elapsed = global.formatElapsedTime(startTime);
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console.log('Debug - formatElapsedTime test successful:', elapsed);
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} catch (err) {
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console.error('Debug - Error testing formatElapsedTime:', err);
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throw err;
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}
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isCancelled = false;
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connection = await getConnection();
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try {
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global.outputProgress({
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status: 'running',
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operation: 'Starting metrics calculation',
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current: 0,
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total: 100,
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elapsed: '0s',
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remaining: 'Calculating...',
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rate: 0,
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percentage: '0',
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timing: {
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start_time: new Date(startTime).toISOString(),
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end_time: new Date().toISOString(),
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elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
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}
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});
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// Update progress periodically
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const updateProgress = async (products = null, orders = null, purchaseOrders = null) => {
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if (products !== null) processedProducts = products;
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if (orders !== null) processedOrders = orders;
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if (purchaseOrders !== null) processedPurchaseOrders = purchaseOrders;
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await connection.query(`
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UPDATE calculate_history
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SET
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processed_products = ?,
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processed_orders = ?,
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processed_purchase_orders = ?
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WHERE id = ?
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`, [processedProducts, processedOrders, processedPurchaseOrders, calculateHistoryId]);
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};
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if (!SKIP_PRODUCT_METRICS) {
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processedProducts = await calculateProductMetrics(startTime, totalProducts);
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await updateProgress(processedProducts);
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} else {
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console.log('Skipping product metrics calculation...');
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processedProducts = Math.floor(totalProducts * 0.6);
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await updateProgress(processedProducts);
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global.outputProgress({
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status: 'running',
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operation: 'Skipping product metrics calculation',
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current: processedProducts,
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total: totalProducts,
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elapsed: global.formatElapsedTime(startTime),
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remaining: global.estimateRemaining(startTime, processedProducts, totalProducts),
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rate: global.calculateRate(startTime, processedProducts),
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percentage: '60',
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timing: {
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start_time: new Date(startTime).toISOString(),
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end_time: new Date().toISOString(),
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elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
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}
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});
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}
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// Calculate time-based aggregates
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if (!SKIP_TIME_AGGREGATES) {
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processedProducts = await calculateTimeAggregates(startTime, totalProducts, processedProducts);
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await updateProgress(processedProducts);
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} else {
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console.log('Skipping time aggregates calculation');
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}
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// Calculate financial metrics
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if (!SKIP_FINANCIAL_METRICS) {
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processedProducts = await calculateFinancialMetrics(startTime, totalProducts, processedProducts);
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await updateProgress(processedProducts);
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} else {
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console.log('Skipping financial metrics calculation');
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}
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// Calculate vendor metrics
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if (!SKIP_VENDOR_METRICS) {
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processedProducts = await calculateVendorMetrics(startTime, totalProducts, processedProducts);
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await updateProgress(processedProducts);
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} else {
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console.log('Skipping vendor metrics calculation');
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}
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// Calculate category metrics
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if (!SKIP_CATEGORY_METRICS) {
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processedProducts = await calculateCategoryMetrics(startTime, totalProducts, processedProducts);
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await updateProgress(processedProducts);
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} else {
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console.log('Skipping category metrics calculation');
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}
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// Calculate brand metrics
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if (!SKIP_BRAND_METRICS) {
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processedProducts = await calculateBrandMetrics(startTime, totalProducts, processedProducts);
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await updateProgress(processedProducts);
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} else {
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console.log('Skipping brand metrics calculation');
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}
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// Calculate sales forecasts
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if (!SKIP_SALES_FORECASTS) {
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processedProducts = await calculateSalesForecasts(startTime, totalProducts, processedProducts);
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await updateProgress(processedProducts);
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} else {
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console.log('Skipping sales forecasts calculation');
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}
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// Calculate ABC classification
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outputProgress({
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status: 'running',
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operation: 'Starting ABC classification',
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current: processedProducts,
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total: totalProducts,
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elapsed: formatElapsedTime(startTime),
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remaining: estimateRemaining(startTime, processedProducts, totalProducts),
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rate: calculateRate(startTime, processedProducts),
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percentage: ((processedProducts / totalProducts) * 100).toFixed(1),
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timing: {
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start_time: new Date(startTime).toISOString(),
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end_time: new Date().toISOString(),
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elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
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}
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});
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if (isCancelled) return processedProducts;
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const [abcConfig] = await connection.query('SELECT a_threshold, b_threshold FROM abc_classification_config WHERE id = 1');
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const abcThresholds = abcConfig[0] || { a_threshold: 20, b_threshold: 50 };
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// First, create and populate the rankings table with an index
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await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_revenue_ranks');
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await connection.query(`
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CREATE TEMPORARY TABLE temp_revenue_ranks (
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pid BIGINT NOT NULL,
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total_revenue DECIMAL(10,3),
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rank_num INT,
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total_count INT,
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PRIMARY KEY (pid),
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INDEX (rank_num)
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) ENGINE=MEMORY
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`);
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outputProgress({
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status: 'running',
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operation: 'Creating revenue rankings',
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current: processedProducts,
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total: totalProducts,
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elapsed: formatElapsedTime(startTime),
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remaining: estimateRemaining(startTime, processedProducts, totalProducts),
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rate: calculateRate(startTime, processedProducts),
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percentage: ((processedProducts / totalProducts) * 100).toFixed(1),
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timing: {
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start_time: new Date(startTime).toISOString(),
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end_time: new Date().toISOString(),
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elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
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}
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});
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if (isCancelled) return processedProducts;
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await connection.query(`
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INSERT INTO temp_revenue_ranks
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SELECT
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pid,
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total_revenue,
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@rank := @rank + 1 as rank_num,
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@total_count := @rank as total_count
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FROM (
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SELECT pid, total_revenue
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FROM product_metrics
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WHERE total_revenue > 0
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ORDER BY total_revenue DESC
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) ranked,
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(SELECT @rank := 0) r
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`);
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// Get total count for percentage calculation
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const [rankingCount] = await connection.query('SELECT MAX(rank_num) as total_count FROM temp_revenue_ranks');
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const totalCount = rankingCount[0].total_count || 1;
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const max_rank = totalCount; // Store max_rank for use in classification
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outputProgress({
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status: 'running',
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operation: 'Updating ABC classifications',
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current: processedProducts,
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total: totalProducts,
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elapsed: formatElapsedTime(startTime),
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remaining: estimateRemaining(startTime, processedProducts, totalProducts),
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rate: calculateRate(startTime, processedProducts),
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percentage: ((processedProducts / totalProducts) * 100).toFixed(1),
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timing: {
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start_time: new Date(startTime).toISOString(),
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end_time: new Date().toISOString(),
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elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
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}
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});
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if (isCancelled) return processedProducts;
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// Process updates in batches
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let abcProcessedProducts = 0;
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const batchSize = 5000;
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while (true) {
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if (isCancelled) return processedProducts;
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// First get a batch of PIDs that need updating
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const [pids] = await connection.query(`
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SELECT pm.pid
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FROM product_metrics pm
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LEFT JOIN temp_revenue_ranks tr ON pm.pid = tr.pid
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WHERE pm.abc_class IS NULL
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OR pm.abc_class !=
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CASE
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WHEN tr.rank_num IS NULL THEN 'C'
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WHEN (tr.rank_num / ?) * 100 <= ? THEN 'A'
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WHEN (tr.rank_num / ?) * 100 <= ? THEN 'B'
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ELSE 'C'
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END
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LIMIT ?
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`, [max_rank, abcThresholds.a_threshold,
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max_rank, abcThresholds.b_threshold,
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batchSize]);
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if (pids.length === 0) {
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break;
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}
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// Then update just those PIDs
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const [result] = await connection.query(`
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UPDATE product_metrics pm
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LEFT JOIN temp_revenue_ranks tr ON pm.pid = tr.pid
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SET pm.abc_class =
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CASE
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WHEN tr.rank_num IS NULL THEN 'C'
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WHEN (tr.rank_num / ?) * 100 <= ? THEN 'A'
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WHEN (tr.rank_num / ?) * 100 <= ? THEN 'B'
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ELSE 'C'
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END,
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pm.last_calculated_at = NOW()
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WHERE pm.pid IN (?)
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`, [max_rank, abcThresholds.a_threshold,
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max_rank, abcThresholds.b_threshold,
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pids.map(row => row.pid)]);
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abcProcessedProducts += result.affectedRows;
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processedProducts = Math.floor(totalProducts * (0.99 + (abcProcessedProducts / totalCount) * 0.01));
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outputProgress({
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status: 'running',
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operation: 'ABC classification progress',
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current: processedProducts,
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total: totalProducts,
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elapsed: formatElapsedTime(startTime),
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remaining: estimateRemaining(startTime, processedProducts, totalProducts),
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rate: calculateRate(startTime, processedProducts),
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percentage: ((processedProducts / totalProducts) * 100).toFixed(1),
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timing: {
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start_time: new Date(startTime).toISOString(),
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end_time: new Date().toISOString(),
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elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
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}
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});
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// Small delay between batches to allow other transactions
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await new Promise(resolve => setTimeout(resolve, 100));
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}
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// Clean up
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await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_revenue_ranks');
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const endTime = Date.now();
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const totalElapsedSeconds = Math.round((endTime - startTime) / 1000);
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// Update history with completion
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await connection.query(`
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UPDATE calculate_history
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SET
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end_time = NOW(),
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duration_seconds = ?,
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processed_products = ?,
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processed_orders = ?,
|
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processed_purchase_orders = ?,
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status = 'completed'
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WHERE id = ?
|
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`, [totalElapsedSeconds, processedProducts, processedOrders, processedPurchaseOrders, calculateHistoryId]);
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|
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// Final success message
|
|
outputProgress({
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status: 'complete',
|
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operation: 'Metrics calculation complete',
|
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current: totalProducts,
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total: totalProducts,
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elapsed: formatElapsedTime(startTime),
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remaining: '0s',
|
|
rate: calculateRate(startTime, totalProducts),
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percentage: '100',
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timing: {
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start_time: new Date(startTime).toISOString(),
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end_time: new Date().toISOString(),
|
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elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
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}
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});
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|
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// Clear progress file on successful completion
|
|
global.clearProgress();
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} catch (error) {
|
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const endTime = Date.now();
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const totalElapsedSeconds = Math.round((endTime - startTime) / 1000);
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|
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// Update history with error
|
|
await connection.query(`
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UPDATE calculate_history
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SET
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end_time = NOW(),
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duration_seconds = ?,
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processed_products = ?,
|
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processed_orders = ?,
|
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processed_purchase_orders = ?,
|
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status = ?,
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error_message = ?
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WHERE id = ?
|
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`, [
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totalElapsedSeconds,
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processedProducts || 0, // Ensure we have a valid number
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processedOrders || 0, // Ensure we have a valid number
|
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processedPurchaseOrders || 0, // Ensure we have a valid number
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isCancelled ? 'cancelled' : 'failed',
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error.message,
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calculateHistoryId
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]);
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|
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if (isCancelled) {
|
|
global.outputProgress({
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status: 'cancelled',
|
|
operation: 'Calculation cancelled',
|
|
current: processedProducts,
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total: totalProducts || 0,
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|
elapsed: global.formatElapsedTime(startTime),
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remaining: null,
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|
rate: global.calculateRate(startTime, processedProducts),
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percentage: ((processedProducts / (totalProducts || 1)) * 100).toFixed(1),
|
|
timing: {
|
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start_time: new Date(startTime).toISOString(),
|
|
end_time: new Date().toISOString(),
|
|
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
|
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}
|
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});
|
|
} else {
|
|
global.outputProgress({
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|
status: 'error',
|
|
operation: 'Error: ' + error.message,
|
|
current: processedProducts,
|
|
total: totalProducts || 0,
|
|
elapsed: global.formatElapsedTime(startTime),
|
|
remaining: null,
|
|
rate: global.calculateRate(startTime, processedProducts),
|
|
percentage: ((processedProducts / (totalProducts || 1)) * 100).toFixed(1),
|
|
timing: {
|
|
start_time: new Date(startTime).toISOString(),
|
|
end_time: new Date().toISOString(),
|
|
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
|
|
}
|
|
});
|
|
}
|
|
throw error;
|
|
} finally {
|
|
if (connection) {
|
|
connection.release();
|
|
}
|
|
}
|
|
} finally {
|
|
// Close the connection pool when we're done
|
|
await closePool();
|
|
}
|
|
}
|
|
|
|
// Export both functions and progress checker
|
|
module.exports = calculateMetrics;
|
|
module.exports.cancelCalculation = cancelCalculation;
|
|
module.exports.getProgress = global.getProgress;
|
|
|
|
// Run directly if called from command line
|
|
if (require.main === module) {
|
|
calculateMetrics().catch(error => {
|
|
if (!error.message.includes('Operation cancelled')) {
|
|
console.error('Error:', error);
|
|
}
|
|
process.exit(1);
|
|
});
|
|
}
|