Apply gemini suggested calculate improvements

This commit is contained in:
2025-02-10 15:20:22 -05:00
parent 09f7103472
commit 90379386d6
8 changed files with 211 additions and 250 deletions

View File

@@ -5,7 +5,8 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
const connection = await getConnection();
let success = false;
const BATCH_SIZE = 5000;
let myProcessedProducts = 0; // Not *directly* processing products, tracking brands
try {
// Get last calculation timestamp
const [lastCalc] = await connection.query(`
@@ -26,12 +27,12 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
OR o.id IS NOT NULL
)
`, [lastCalculationTime, lastCalculationTime]);
const totalBrands = brandCount[0].count;
const totalBrands = brandCount[0].count; // Track total *brands*
if (totalBrands === 0) {
console.log('No brands need metric updates');
return {
processedProducts: 0,
processedProducts: 0, // Not directly processing products
processedOrders: 0,
processedPurchaseOrders: 0,
success: true
@@ -42,12 +43,12 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
outputProgress({
status: 'cancelled',
operation: 'Brand metrics calculation cancelled',
current: processedCount,
total: totalBrands,
current: processedCount, // Use passed-in value
total: totalBrands, // Report total *brands*
elapsed: formatElapsedTime(startTime),
remaining: null,
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalBrands) * 100).toFixed(1),
percentage: ((processedCount / totalBrands) * 100).toFixed(1), // Base on brands
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -55,7 +56,7 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
}
});
return {
processedProducts: processedCount,
processedProducts: 0, // Not directly processing products
processedOrders: 0,
processedPurchaseOrders: 0,
success
@@ -65,12 +66,12 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
outputProgress({
status: 'running',
operation: 'Starting brand metrics calculation',
current: processedCount,
total: totalBrands,
current: processedCount, // Use passed-in value
total: totalBrands, // Report total *brands*
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalBrands),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalBrands) * 100).toFixed(1),
percentage: ((processedCount / totalBrands) * 100).toFixed(1), // Base on brands
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -80,6 +81,7 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
// Process in batches
let lastBrand = '';
let processedBrands = 0; // Track processed brands
while (true) {
if (isCancelled) break;
@@ -243,17 +245,17 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_sales_stats');
lastBrand = batch[batch.length - 1].brand;
processedCount += batch.length;
processedBrands += batch.length; // Increment processed *brands*
outputProgress({
status: 'running',
operation: 'Processing brand metrics batch',
current: processedCount,
total: totalBrands,
current: processedCount + processedBrands, // Use cumulative brand count
total: totalBrands, // Report total *brands*
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalBrands),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalBrands) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount + processedBrands, totalBrands),
rate: calculateRate(startTime, processedCount + processedBrands),
percentage: (((processedCount + processedBrands) / totalBrands) * 100).toFixed(1), // Base on brands
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -264,7 +266,7 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
// If we get here, everything completed successfully
success = true;
// Update calculate_status
await connection.query(`
INSERT INTO calculate_status (module_name, last_calculation_timestamp)
@@ -273,7 +275,7 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount =
`);
return {
processedProducts: processedCount,
processedProducts: 0, // Not directly processing products
processedOrders: 0,
processedPurchaseOrders: 0,
success

View File

@@ -5,7 +5,8 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
const connection = await getConnection();
let success = false;
const BATCH_SIZE = 5000;
let myProcessedProducts = 0; // Not *directly* processing products, but tracking categories
try {
// Get last calculation timestamp
const [lastCalc] = await connection.query(`
@@ -28,12 +29,12 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
OR o.id IS NOT NULL
)
`, [lastCalculationTime, lastCalculationTime]);
const totalCategories = categoryCount[0].count;
const totalCategories = categoryCount[0].count; // Track total *categories*
if (totalCategories === 0) {
console.log('No categories need metric updates');
return {
processedProducts: 0,
processedProducts: 0, // Not directly processing products
processedOrders: 0,
processedPurchaseOrders: 0,
success: true
@@ -44,12 +45,12 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
outputProgress({
status: 'cancelled',
operation: 'Category metrics calculation cancelled',
current: processedCount,
total: totalCategories,
current: processedCount, // Use passed-in value
total: totalCategories, // Report total *categories*
elapsed: formatElapsedTime(startTime),
remaining: null,
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalCategories) * 100).toFixed(1),
percentage: ((processedCount / totalCategories) * 100).toFixed(1), // Base on categories
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -57,7 +58,7 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
}
});
return {
processedProducts: processedCount,
processedProducts: 0, // Not directly processing products
processedOrders: 0,
processedPurchaseOrders: 0,
success
@@ -67,12 +68,12 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
outputProgress({
status: 'running',
operation: 'Starting category metrics calculation',
current: processedCount,
total: totalCategories,
current: processedCount, // Use passed-in value
total: totalCategories, // Report total *categories*
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalCategories),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalCategories) * 100).toFixed(1),
percentage: ((processedCount / totalCategories) * 100).toFixed(1), // Base on categories
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -82,6 +83,7 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
// Process in batches
let lastCatId = 0;
let processedCategories = 0; // Track processed categories
while (true) {
if (isCancelled) break;
@@ -247,17 +249,17 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_sales_stats');
lastCatId = batch[batch.length - 1].cat_id;
processedCount += batch.length;
processedCategories += batch.length; // Increment processed *categories*
outputProgress({
status: 'running',
operation: 'Processing category metrics batch',
current: processedCount,
total: totalCategories,
current: processedCount + processedCategories, // Use cumulative category count
total: totalCategories, // Report total *categories*
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalCategories),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalCategories) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount + processedCategories, totalCategories),
rate: calculateRate(startTime, processedCount + processedCategories),
percentage: (((processedCount + processedCategories) / totalCategories) * 100).toFixed(1), // Base on categories
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -268,7 +270,7 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
// If we get here, everything completed successfully
success = true;
// Update calculate_status
await connection.query(`
INSERT INTO calculate_status (module_name, last_calculation_timestamp)
@@ -277,7 +279,7 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
`);
return {
processedProducts: processedCount,
processedProducts: 0, // Not directly processing products
processedOrders: 0,
processedPurchaseOrders: 0,
success

View File

@@ -5,6 +5,7 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
const connection = await getConnection();
let success = false;
const BATCH_SIZE = 5000;
let myProcessedProducts = 0; // Track products processed *within this module*
try {
// Get last calculation timestamp
@@ -54,7 +55,7 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
}
});
return {
processedProducts: processedCount,
processedProducts: myProcessedProducts,
processedOrders: 0,
processedPurchaseOrders: 0,
success
@@ -133,17 +134,17 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
`, [batch.map(row => row.pid)]);
lastPid = batch[batch.length - 1].pid;
processedCount += batch.length;
myProcessedProducts += batch.length;
outputProgress({
status: 'running',
operation: 'Processing financial metrics batch',
current: processedCount,
current: processedCount + myProcessedProducts,
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalProducts) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount + myProcessedProducts, totalProducts),
rate: calculateRate(startTime, processedCount + myProcessedProducts),
percentage: (((processedCount + myProcessedProducts) / totalProducts) * 100).toFixed(1),
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -163,7 +164,7 @@ async function calculateFinancialMetrics(startTime, totalProducts, processedCoun
`);
return {
processedProducts: processedCount,
processedProducts: myProcessedProducts,
processedOrders: 0,
processedPurchaseOrders: 0,
success

View File

@@ -13,6 +13,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
const connection = await getConnection();
let success = false;
let processedOrders = 0;
let myProcessedProducts = 0; // Track products processed *within this module*
const BATCH_SIZE = 5000;
try {
@@ -24,24 +25,10 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
`);
const lastCalculationTime = lastCalc[0]?.last_calculation_timestamp || '1970-01-01';
// Get total product count if not provided
if (!totalProducts) {
const [productCount] = await connection.query(`
SELECT COUNT(DISTINCT p.pid) as count
FROM products p
LEFT JOIN orders o ON p.pid = o.pid AND o.updated > ?
LEFT JOIN purchase_orders po ON p.pid = po.pid AND po.updated > ?
WHERE p.updated > ?
OR o.pid IS NOT NULL
OR po.pid IS NOT NULL
`, [lastCalculationTime, lastCalculationTime, lastCalculationTime]);
totalProducts = productCount[0].count;
}
if (totalProducts === 0) {
console.log('No products need updating');
return {
processedProducts: 0,
processedProducts: myProcessedProducts,
processedOrders: 0,
processedPurchaseOrders: 0,
success: true
@@ -69,7 +56,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
}
});
return {
processedProducts: processedCount,
processedProducts: myProcessedProducts,
processedOrders,
processedPurchaseOrders: 0,
success
@@ -290,6 +277,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
lastPid = batch[batch.length - 1].pid;
processedCount += batch.length;
myProcessedProducts += batch.length; // Increment the *module's* count
outputProgress({
status: 'running',
@@ -361,12 +349,12 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
outputProgress({
status: 'running',
operation: 'Starting product time aggregates calculation',
current: processedCount || 0,
total: totalProducts || 0,
current: processedCount,
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount || 0, totalProducts || 0),
rate: calculateRate(startTime, processedCount || 0),
percentage: (((processedCount || 0) / (totalProducts || 1)) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
rate: calculateRate(startTime, processedCount),
percentage: (((processedCount) / (totalProducts || 1)) * 100).toFixed(1),
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -428,12 +416,12 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
outputProgress({
status: 'running',
operation: 'Product time aggregates calculated',
current: processedCount || 0,
total: totalProducts || 0,
current: processedCount,
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount || 0, totalProducts || 0),
rate: calculateRate(startTime, processedCount || 0),
percentage: (((processedCount || 0) / (totalProducts || 1)) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
rate: calculateRate(startTime, processedCount),
percentage: (((processedCount) / (totalProducts || 1)) * 100).toFixed(1),
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -445,12 +433,12 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
outputProgress({
status: 'running',
operation: 'Skipping product time aggregates calculation',
current: processedCount || 0,
total: totalProducts || 0,
current: processedCount,
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount || 0, totalProducts || 0),
rate: calculateRate(startTime, processedCount || 0),
percentage: (((processedCount || 0) / (totalProducts || 1)) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
rate: calculateRate(startTime, processedCount),
percentage: (((processedCount) / (totalProducts || 1)) * 100).toFixed(1),
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -479,7 +467,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
if (isCancelled) return {
processedProducts: processedCount,
processedOrders,
processedPurchaseOrders: 0, // This module doesn't process POs
processedPurchaseOrders: 0,
success
};
@@ -540,7 +528,7 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
if (isCancelled) return {
processedProducts: processedCount,
processedOrders,
processedPurchaseOrders: 0, // This module doesn't process POs
processedPurchaseOrders: 0,
success
};
@@ -620,9 +608,9 @@ async function calculateProductMetrics(startTime, totalProducts, processedCount
`);
return {
processedProducts: processedCount || 0,
processedProducts: processedCount,
processedOrders: processedOrders || 0,
processedPurchaseOrders: 0, // This module doesn't process POs
processedPurchaseOrders: 0,
success
};

View File

@@ -4,6 +4,7 @@ const { getConnection } = require('./utils/db');
async function calculateSalesForecasts(startTime, totalProducts, processedCount = 0, isCancelled = false) {
const connection = await getConnection();
let success = false;
let myProcessedProducts = 0; // Track products processed *within this module*
const BATCH_SIZE = 5000;
try {
@@ -43,7 +44,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
status: 'cancelled',
operation: 'Sales forecast calculation cancelled',
current: processedCount,
total: totalProductsToUpdate,
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: null,
rate: calculateRate(startTime, processedCount),
@@ -55,7 +56,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
}
});
return {
processedProducts: processedCount,
processedProducts: myProcessedProducts,
processedOrders: 0,
processedPurchaseOrders: 0,
success
@@ -66,9 +67,9 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
status: 'running',
operation: 'Starting sales forecast calculation',
current: processedCount,
total: totalProductsToUpdate,
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalProductsToUpdate),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalProductsToUpdate) * 100).toFixed(1),
timing: {
@@ -255,15 +256,15 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_confidence_calc');
lastPid = batch[batch.length - 1].pid;
processedCount += batch.length;
myProcessedProducts += batch.length;
outputProgress({
status: 'running',
operation: 'Processing sales forecast batch',
current: processedCount,
total: totalProductsToUpdate,
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalProductsToUpdate),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalProductsToUpdate) * 100).toFixed(1),
timing: {
@@ -285,7 +286,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount
`);
return {
processedProducts: processedCount,
processedProducts: myProcessedProducts,
processedOrders: 0,
processedPurchaseOrders: 0,
success

View File

@@ -5,7 +5,8 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
const connection = await getConnection();
let success = false;
const BATCH_SIZE = 5000;
let myProcessedProducts = 0; // Track products processed *within this module*
try {
// Get last calculation timestamp
const [lastCalc] = await connection.query(`
@@ -15,17 +16,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
`);
const lastCalculationTime = lastCalc[0]?.last_calculation_timestamp || '1970-01-01';
// Get total count of products needing updates
if (!totalProducts) {
const [productCount] = await connection.query(`
SELECT COUNT(DISTINCT p.pid) as count
FROM products p
LEFT JOIN orders o ON p.pid = o.pid AND o.updated > ?
WHERE p.updated > ?
OR o.pid IS NOT NULL
`, [lastCalculationTime, lastCalculationTime]);
totalProducts = productCount[0].count;
}
// We now receive totalProducts as an argument, so we don't need to query for it here.
if (totalProducts === 0) {
console.log('No products need time aggregate updates');
@@ -41,7 +32,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
outputProgress({
status: 'cancelled',
operation: 'Time aggregates calculation cancelled',
current: processedCount,
current: processedCount, // Use passed-in value
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: null,
@@ -54,7 +45,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
}
});
return {
processedProducts: processedCount,
processedProducts: myProcessedProducts, // Return only what *this* module processed
processedOrders: 0,
processedPurchaseOrders: 0,
success
@@ -64,7 +55,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
outputProgress({
status: 'running',
operation: 'Starting time aggregates calculation',
current: processedCount,
current: processedCount, // Use passed-in value
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
@@ -253,17 +244,17 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_time_aggregates');
lastPid = batch[batch.length - 1].pid;
processedCount += batch.length;
myProcessedProducts += batch.length; // Increment *this module's* count
outputProgress({
status: 'running',
operation: 'Processing time aggregates batch',
current: processedCount,
current: processedCount + myProcessedProducts, // Show cumulative progress
total: totalProducts,
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalProducts),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalProducts) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount + myProcessedProducts, totalProducts),
rate: calculateRate(startTime, processedCount + myProcessedProducts),
percentage: (((processedCount + myProcessedProducts) / totalProducts) * 100).toFixed(1),
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -274,7 +265,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
// If we get here, everything completed successfully
success = true;
// Update calculate_status
await connection.query(`
INSERT INTO calculate_status (module_name, last_calculation_timestamp)
@@ -283,7 +274,7 @@ async function calculateTimeAggregates(startTime, totalProducts, processedCount
`);
return {
processedProducts: processedCount,
processedProducts: myProcessedProducts, // Return only what *this* module processed
processedOrders: 0,
processedPurchaseOrders: 0,
success

View File

@@ -5,7 +5,8 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
const connection = await getConnection();
let success = false;
const BATCH_SIZE = 5000;
let myProcessedProducts = 0; // Not directly processing products, but we'll track vendors
try {
// Get last calculation timestamp
const [lastCalc] = await connection.query(`
@@ -33,12 +34,12 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
)
)
`, [lastCalculationTime, lastCalculationTime]);
const totalVendors = vendorCount[0].count;
const totalVendors = vendorCount[0].count; // Track total *vendors*
if (totalVendors === 0) {
console.log('No vendors need metric updates');
return {
processedProducts: 0,
processedProducts: 0, // No products directly processed
processedOrders: 0,
processedPurchaseOrders: 0,
success: true
@@ -49,12 +50,12 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
outputProgress({
status: 'cancelled',
operation: 'Vendor metrics calculation cancelled',
current: processedCount,
total: totalVendors,
current: processedCount, // Use passed-in value (for consistency)
total: totalVendors, // Report total *vendors*
elapsed: formatElapsedTime(startTime),
remaining: null,
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalVendors) * 100).toFixed(1),
percentage: ((processedCount / totalVendors) * 100).toFixed(1), // Base on vendors
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -62,7 +63,7 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
}
});
return {
processedProducts: processedCount,
processedProducts: 0, // No products directly processed
processedOrders: 0,
processedPurchaseOrders: 0,
success
@@ -72,12 +73,12 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
outputProgress({
status: 'running',
operation: 'Starting vendor metrics calculation',
current: processedCount,
total: totalVendors,
current: processedCount, // Use passed-in value
total: totalVendors, // Report total *vendors*
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalVendors),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalVendors) * 100).toFixed(1),
percentage: ((processedCount / totalVendors) * 100).toFixed(1), // Base on vendors
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -87,6 +88,7 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
// Process in batches
let lastVendor = '';
let processedVendors = 0; // Track processed vendors
while (true) {
if (isCancelled) break;
@@ -119,7 +121,7 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
// Create temporary tables with optimized structure and indexes
await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_purchase_stats');
await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_product_stats');
await connection.query(`
CREATE TEMPORARY TABLE temp_purchase_stats (
vendor VARCHAR(100) NOT NULL,
@@ -253,17 +255,17 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
await connection.query('DROP TEMPORARY TABLE IF EXISTS temp_product_stats');
lastVendor = batch[batch.length - 1].vendor;
processedCount += batch.length;
processedVendors += batch.length; // Increment processed *vendors*
outputProgress({
status: 'running',
operation: 'Processing vendor metrics batch',
current: processedCount,
total: totalVendors,
current: processedCount + processedVendors, // Use cumulative vendor count
total: totalVendors, // Report total *vendors*
elapsed: formatElapsedTime(startTime),
remaining: estimateRemaining(startTime, processedCount, totalVendors),
rate: calculateRate(startTime, processedCount),
percentage: ((processedCount / totalVendors) * 100).toFixed(1),
remaining: estimateRemaining(startTime, processedCount + processedVendors, totalVendors),
rate: calculateRate(startTime, processedCount + processedVendors),
percentage: (((processedCount + processedVendors) / totalVendors) * 100).toFixed(1), // Base on vendors
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
@@ -274,7 +276,7 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
// If we get here, everything completed successfully
success = true;
// Update calculate_status
await connection.query(`
INSERT INTO calculate_status (module_name, last_calculation_timestamp)
@@ -283,7 +285,7 @@ async function calculateVendorMetrics(startTime, totalProducts, processedCount =
`);
return {
processedProducts: processedCount,
processedProducts: 0, // No products directly processed
processedOrders: 0,
processedPurchaseOrders: 0,
success