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Add new calculate scripts, add in historical data import

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This commit is contained in:
Matt
2025-03-30 10:30:13 -04:00
parent 4c4359908c
commit 047122a620
9 changed files with 1990 additions and 28 deletions
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66
inventory-server/scripts/import-from-prod.js
View File

@@ -6,6 +6,7 @@ const importCategories = require('./import/categories');
const { importProducts } = require('./import/products');
const importOrders = require('./import/orders');
const importPurchaseOrders = require('./import/purchase-orders');
const importHistoricalData = require('./import/historical-data');
dotenv.config({ path: path.join(__dirname, "../.env") });
@@ -13,7 +14,8 @@ dotenv.config({ path: path.join(__dirname, "../.env") });
const IMPORT_CATEGORIES = false;
const IMPORT_PRODUCTS = false;
const IMPORT_ORDERS = false;
const IMPORT_PURCHASE_ORDERS = true;
const IMPORT_PURCHASE_ORDERS = false;
const IMPORT_HISTORICAL_DATA = true;
// Add flag for incremental updates
const INCREMENTAL_UPDATE = process.env.INCREMENTAL_UPDATE !== 'false'; // Default to true unless explicitly set to false
@@ -78,7 +80,8 @@ async function main() {
IMPORT_CATEGORIES,
IMPORT_PRODUCTS,
IMPORT_ORDERS,
IMPORT_PURCHASE_ORDERS
IMPORT_PURCHASE_ORDERS,
IMPORT_HISTORICAL_DATA
].filter(Boolean).length;
try {
@@ -108,17 +111,6 @@ async function main() {
WHERE status = 'running'
`);
// Initialize sync_status table if it doesn't exist
await localConnection.query(`
CREATE TABLE IF NOT EXISTS sync_status (
table_name TEXT PRIMARY KEY,
last_sync_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
last_sync_id BIGINT
);
CREATE INDEX IF NOT EXISTS idx_last_sync ON sync_status (last_sync_timestamp);
`);
// Create import history record for the overall session
try {
const [historyResult] = await localConnection.query(`
@@ -137,10 +129,11 @@ async function main() {
'categories_enabled', $2::boolean,
'products_enabled', $3::boolean,
'orders_enabled', $4::boolean,
'purchase_orders_enabled', $5::boolean
'purchase_orders_enabled', $5::boolean,
'historical_data_enabled', $6::boolean
)
) RETURNING id
`, [INCREMENTAL_UPDATE, IMPORT_CATEGORIES, IMPORT_PRODUCTS, IMPORT_ORDERS, IMPORT_PURCHASE_ORDERS]);
`, [INCREMENTAL_UPDATE, IMPORT_CATEGORIES, IMPORT_PRODUCTS, IMPORT_ORDERS, IMPORT_PURCHASE_ORDERS, IMPORT_HISTORICAL_DATA]);
importHistoryId = historyResult.rows[0].id;
} catch (error) {
console.error("Error creating import history record:", error);
@@ -157,7 +150,8 @@ async function main() {
categories: null,
products: null,
orders: null,
purchaseOrders: null
purchaseOrders: null,
historicalData: null
};
let totalRecordsAdded = 0;
@@ -217,6 +211,32 @@ async function main() {
}
}
if (IMPORT_HISTORICAL_DATA) {
try {
results.historicalData = await importHistoricalData(prodConnection, localConnection, INCREMENTAL_UPDATE);
if (isImportCancelled) throw new Error("Import cancelled");
completedSteps++;
console.log('Historical data import result:', results.historicalData);
// Handle potential error status
if (results.historicalData?.status === 'error') {
console.error('Historical data import had an error:', results.historicalData.error);
} else {
totalRecordsAdded += parseInt(results.historicalData?.recordsAdded || 0);
totalRecordsUpdated += parseInt(results.historicalData?.recordsUpdated || 0);
}
} catch (error) {
console.error('Error during historical data import:', error);
// Continue with other imports, don't fail the whole process
results.historicalData = {
status: 'error',
error: error.message,
recordsAdded: 0,
recordsUpdated: 0
};
}
}
const endTime = Date.now();
const totalElapsedSeconds = Math.round((endTime - startTime) / 1000);
@@ -234,12 +254,14 @@ async function main() {
'products_enabled', $5::boolean,
'orders_enabled', $6::boolean,
'purchase_orders_enabled', $7::boolean,
'categories_result', COALESCE($8::jsonb, 'null'::jsonb),
'products_result', COALESCE($9::jsonb, 'null'::jsonb),
'orders_result', COALESCE($10::jsonb, 'null'::jsonb),
'purchase_orders_result', COALESCE($11::jsonb, 'null'::jsonb)
'historical_data_enabled', $8::boolean,
'categories_result', COALESCE($9::jsonb, 'null'::jsonb),
'products_result', COALESCE($10::jsonb, 'null'::jsonb),
'orders_result', COALESCE($11::jsonb, 'null'::jsonb),
'purchase_orders_result', COALESCE($12::jsonb, 'null'::jsonb),
'historical_data_result', COALESCE($13::jsonb, 'null'::jsonb)
)
WHERE id = $12
WHERE id = $14
`, [
totalElapsedSeconds,
parseInt(totalRecordsAdded),
@@ -248,10 +270,12 @@ async function main() {
IMPORT_PRODUCTS,
IMPORT_ORDERS,
IMPORT_PURCHASE_ORDERS,
IMPORT_HISTORICAL_DATA,
JSON.stringify(results.categories),
JSON.stringify(results.products),
JSON.stringify(results.orders),
JSON.stringify(results.purchaseOrders),
JSON.stringify(results.historicalData),
importHistoryId
]);

961
inventory-server/scripts/import/historical-data.js Normal file
View File

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

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const path = require('path');
const fs = require('fs');
// Change working directory to script directory
process.chdir(path.dirname(__filename));
// Load environment variables
require('dotenv').config({ path: path.resolve(__dirname, '../..', '.env') });
// Add error handler for uncaught exceptions
process.on('uncaughtException', (error) => {
console.error('Uncaught Exception:', error);
process.exit(1);
});
// Add error handler for unhandled promise rejections
process.on('unhandledRejection', (reason, promise) => {
console.error('Unhandled Rejection at:', promise, 'reason:', reason);
process.exit(1);
});
// Load progress module
const progress = require('./utils/progress');
// Store progress functions in global scope to ensure availability
global.formatElapsedTime = progress.formatElapsedTime;
global.estimateRemaining = progress.estimateRemaining;
global.calculateRate = progress.calculateRate;
global.outputProgress = progress.outputProgress;
global.clearProgress = progress.clearProgress;
global.getProgress = progress.getProgress;
global.logError = progress.logError;
// Load database module
const { getConnection, closePool } = require('./utils/db');
// Add cancel handler
let isCancelled = false;
function cancelCalculation() {
isCancelled = true;
console.log('Calculation has been cancelled by user');
// Force-terminate any query that's been running for more than 5 seconds
try {
const connection = getConnection();
connection.then(async (conn) => {
try {
// Identify and terminate long-running queries from our application
await conn.query(`
SELECT pg_cancel_backend(pid)
FROM pg_stat_activity
WHERE query_start < now() - interval '5 seconds'
AND application_name LIKE '%node%'
AND query NOT LIKE '%pg_cancel_backend%'
`);
// Release connection
conn.release();
} catch (err) {
console.error('Error during force cancellation:', err);
conn.release();
}
}).catch(err => {
console.error('Could not get connection for cancellation:', err);
});
} catch (err) {
console.error('Failed to terminate running queries:', err);
}
return {
success: true,
message: 'Calculation has been cancelled'
};
}
// Handle SIGTERM signal for cancellation
process.on('SIGTERM', cancelCalculation);
async function updateDailySnapshots() {
let connection;
const startTime = Date.now();
let calculateHistoryId;
// Set a maximum execution time (30 minutes)
const MAX_EXECUTION_TIME = 30 * 60 * 1000;
const timeout = setTimeout(() => {
console.error(`Calculation timed out after ${MAX_EXECUTION_TIME/1000} seconds, forcing termination`);
// Call cancel and force exit
cancelCalculation();
process.exit(1);
}, MAX_EXECUTION_TIME);
try {
// Read the SQL file
const sqlFilePath = path.resolve(__dirname, 'update_daily_snapshots.sql');
const sqlQuery = fs.readFileSync(sqlFilePath, 'utf8');
// Clean up any previously running calculations
connection = await getConnection();
// Ensure the calculate_status table exists and has the correct structure
await connection.query(`
CREATE TABLE IF NOT EXISTS calculate_status (
module_name TEXT PRIMARY KEY,
last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
)
`);
await connection.query(`
UPDATE calculate_history
SET
status = 'cancelled',
end_time = NOW(),
duration_seconds = EXTRACT(EPOCH FROM (NOW() - start_time))::INTEGER,
error_message = 'Previous calculation was not completed properly'
WHERE status = 'running' AND additional_info->>'type' = 'daily_snapshots'
`);
// Create history record for this calculation
const historyResult = await connection.query(`
INSERT INTO calculate_history (
start_time,
status,
additional_info
) VALUES (
NOW(),
'running',
jsonb_build_object(
'type', 'daily_snapshots',
'sql_file', 'update_daily_snapshots.sql'
)
) RETURNING id
`);
calculateHistoryId = historyResult.rows[0].id;
// Initialize progress
global.outputProgress({
status: 'running',
operation: 'Starting daily snapshots calculation',
current: 0,
total: 100,
elapsed: '0s',
remaining: 'Calculating...',
rate: 0,
percentage: '0',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
// Execute the SQL query
global.outputProgress({
status: 'running',
operation: 'Executing daily snapshots SQL query',
current: 25,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: 'Calculating...',
rate: 0,
percentage: '25',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
await connection.query(sqlQuery);
// Update calculate_status table
await connection.query(`
INSERT INTO calculate_status (module_name, last_calculation_timestamp)
VALUES ($1, $2)
ON CONFLICT (module_name) DO UPDATE
SET last_calculation_timestamp = EXCLUDED.last_calculation_timestamp
`, ['daily_snapshots', new Date()]);
// Update progress to 100%
global.outputProgress({
status: 'complete',
operation: 'Daily snapshots calculation complete',
current: 100,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: '0s',
rate: 0,
percentage: '100',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
// Update history with completion
await connection.query(`
UPDATE calculate_history
SET
end_time = NOW(),
duration_seconds = $1,
status = 'completed'
WHERE id = $2
`, [Math.round((Date.now() - startTime) / 1000), calculateHistoryId]);
// Clear progress file on successful completion
global.clearProgress();
return {
success: true,
message: 'Daily snapshots calculation completed successfully',
duration: Math.round((Date.now() - startTime) / 1000)
};
} catch (error) {
const endTime = Date.now();
const totalElapsedSeconds = Math.round((endTime - startTime) / 1000);
// Update history with error
if (connection && calculateHistoryId) {
await connection.query(`
UPDATE calculate_history
SET
end_time = NOW(),
duration_seconds = $1,
status = $2,
error_message = $3
WHERE id = $4
`, [
totalElapsedSeconds,
isCancelled ? 'cancelled' : 'failed',
error.message,
calculateHistoryId
]);
}
if (isCancelled) {
global.outputProgress({
status: 'cancelled',
operation: 'Calculation cancelled',
current: 50,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: null,
rate: 0,
percentage: '50',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
} else {
global.outputProgress({
status: 'error',
operation: 'Error: ' + error.message,
current: 50,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: null,
rate: 0,
percentage: '50',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
}
throw error;
} finally {
// Clear the timeout to prevent forced termination
clearTimeout(timeout);
// Always release connection
if (connection) {
try {
connection.release();
} catch (err) {
console.error('Error in final cleanup:', err);
}
}
}
}
// Export as a module with all necessary functions
module.exports = {
updateDailySnapshots,
cancelCalculation,
getProgress: global.getProgress
};
// Run directly if called from command line
if (require.main === module) {
updateDailySnapshots().then(() => {
closePool().then(() => {
process.exit(0);
});
}).catch(error => {
console.error('Error:', error);
closePool().then(() => {
process.exit(1);
});
});
}

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inventory-server/scripts/metrics-new/update-periodic-metrics.js Normal file
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const path = require('path');
const fs = require('fs');
// Change working directory to script directory
process.chdir(path.dirname(__filename));
// Load environment variables
require('dotenv').config({ path: path.resolve(__dirname, '../..', '.env') });
// Add error handler for uncaught exceptions
process.on('uncaughtException', (error) => {
console.error('Uncaught Exception:', error);
process.exit(1);
});
// Add error handler for unhandled promise rejections
process.on('unhandledRejection', (reason, promise) => {
console.error('Unhandled Rejection at:', promise, 'reason:', reason);
process.exit(1);
});
// Load progress module
const progress = require('./utils/progress');
// Store progress functions in global scope to ensure availability
global.formatElapsedTime = progress.formatElapsedTime;
global.estimateRemaining = progress.estimateRemaining;
global.calculateRate = progress.calculateRate;
global.outputProgress = progress.outputProgress;
global.clearProgress = progress.clearProgress;
global.getProgress = progress.getProgress;
global.logError = progress.logError;
// Load database module
const { getConnection, closePool } = require('./utils/db');
// Add cancel handler
let isCancelled = false;
function cancelCalculation() {
isCancelled = true;
console.log('Calculation has been cancelled by user');
// Force-terminate any query that's been running for more than 5 seconds
try {
const connection = getConnection();
connection.then(async (conn) => {
try {
// Identify and terminate long-running queries from our application
await conn.query(`
SELECT pg_cancel_backend(pid)
FROM pg_stat_activity
WHERE query_start < now() - interval '5 seconds'
AND application_name LIKE '%node%'
AND query NOT LIKE '%pg_cancel_backend%'
`);
// Release connection
conn.release();
} catch (err) {
console.error('Error during force cancellation:', err);
conn.release();
}
}).catch(err => {
console.error('Could not get connection for cancellation:', err);
});
} catch (err) {
console.error('Failed to terminate running queries:', err);
}
return {
success: true,
message: 'Calculation has been cancelled'
};
}
// Handle SIGTERM signal for cancellation
process.on('SIGTERM', cancelCalculation);
async function updatePeriodicMetrics() {
let connection;
const startTime = Date.now();
let calculateHistoryId;
// Set a maximum execution time (30 minutes)
const MAX_EXECUTION_TIME = 30 * 60 * 1000;
const timeout = setTimeout(() => {
console.error(`Calculation timed out after ${MAX_EXECUTION_TIME/1000} seconds, forcing termination`);
// Call cancel and force exit
cancelCalculation();
process.exit(1);
}, MAX_EXECUTION_TIME);
try {
// Read the SQL file
const sqlFilePath = path.resolve(__dirname, 'update_periodic_metrics.sql');
const sqlQuery = fs.readFileSync(sqlFilePath, 'utf8');
// Clean up any previously running calculations
connection = await getConnection();
// Ensure the calculate_status table exists and has the correct structure
await connection.query(`
CREATE TABLE IF NOT EXISTS calculate_status (
module_name TEXT PRIMARY KEY,
last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
)
`);
await connection.query(`
UPDATE calculate_history
SET
status = 'cancelled',
end_time = NOW(),
duration_seconds = EXTRACT(EPOCH FROM (NOW() - start_time))::INTEGER,
error_message = 'Previous calculation was not completed properly'
WHERE status = 'running' AND additional_info->>'type' = 'periodic_metrics'
`);
// Create history record for this calculation
const historyResult = await connection.query(`
INSERT INTO calculate_history (
start_time,
status,
additional_info
) VALUES (
NOW(),
'running',
jsonb_build_object(
'type', 'periodic_metrics',
'sql_file', 'update_periodic_metrics.sql'
)
) RETURNING id
`);
calculateHistoryId = historyResult.rows[0].id;
// Initialize progress
global.outputProgress({
status: 'running',
operation: 'Starting periodic metrics calculation',
current: 0,
total: 100,
elapsed: '0s',
remaining: 'Calculating...',
rate: 0,
percentage: '0',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
// Execute the SQL query
global.outputProgress({
status: 'running',
operation: 'Executing periodic metrics SQL query',
current: 25,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: 'Calculating...',
rate: 0,
percentage: '25',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
await connection.query(sqlQuery);
// Update calculate_status table
await connection.query(`
INSERT INTO calculate_status (module_name, last_calculation_timestamp)
VALUES ($1, $2)
ON CONFLICT (module_name) DO UPDATE
SET last_calculation_timestamp = EXCLUDED.last_calculation_timestamp
`, ['periodic_metrics', new Date()]);
// Update progress to 100%
global.outputProgress({
status: 'complete',
operation: 'Periodic metrics calculation complete',
current: 100,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: '0s',
rate: 0,
percentage: '100',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
// Update history with completion
await connection.query(`
UPDATE calculate_history
SET
end_time = NOW(),
duration_seconds = $1,
status = 'completed'
WHERE id = $2
`, [Math.round((Date.now() - startTime) / 1000), calculateHistoryId]);
// Clear progress file on successful completion
global.clearProgress();
return {
success: true,
message: 'Periodic metrics calculation completed successfully',
duration: Math.round((Date.now() - startTime) / 1000)
};
} catch (error) {
const endTime = Date.now();
const totalElapsedSeconds = Math.round((endTime - startTime) / 1000);
// Update history with error
if (connection && calculateHistoryId) {
await connection.query(`
UPDATE calculate_history
SET
end_time = NOW(),
duration_seconds = $1,
status = $2,
error_message = $3
WHERE id = $4
`, [
totalElapsedSeconds,
isCancelled ? 'cancelled' : 'failed',
error.message,
calculateHistoryId
]);
}
if (isCancelled) {
global.outputProgress({
status: 'cancelled',
operation: 'Calculation cancelled',
current: 50,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: null,
rate: 0,
percentage: '50',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
} else {
global.outputProgress({
status: 'error',
operation: 'Error: ' + error.message,
current: 50,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: null,
rate: 0,
percentage: '50',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
}
throw error;
} finally {
// Clear the timeout to prevent forced termination
clearTimeout(timeout);
// Always release connection
if (connection) {
try {
connection.release();
} catch (err) {
console.error('Error in final cleanup:', err);
}
}
}
}
// Export as a module with all necessary functions
module.exports = {
updatePeriodicMetrics,
cancelCalculation,
getProgress: global.getProgress
};
// Run directly if called from command line
if (require.main === module) {
updatePeriodicMetrics().then(() => {
closePool().then(() => {
process.exit(0);
});
}).catch(error => {
console.error('Error:', error);
closePool().then(() => {
process.exit(1);
});
});
}

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inventory-server/scripts/metrics-new/update-product-metrics.js Normal file
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const path = require('path');
const fs = require('fs');
// Change working directory to script directory
process.chdir(path.dirname(__filename));
// Load environment variables
require('dotenv').config({ path: path.resolve(__dirname, '../..', '.env') });
// Add error handler for uncaught exceptions
process.on('uncaughtException', (error) => {
console.error('Uncaught Exception:', error);
process.exit(1);
});
// Add error handler for unhandled promise rejections
process.on('unhandledRejection', (reason, promise) => {
console.error('Unhandled Rejection at:', promise, 'reason:', reason);
process.exit(1);
});
// Load progress module
const progress = require('./utils/progress');
// Store progress functions in global scope to ensure availability
global.formatElapsedTime = progress.formatElapsedTime;
global.estimateRemaining = progress.estimateRemaining;
global.calculateRate = progress.calculateRate;
global.outputProgress = progress.outputProgress;
global.clearProgress = progress.clearProgress;
global.getProgress = progress.getProgress;
global.logError = progress.logError;
// Load database module
const { getConnection, closePool } = require('./utils/db');
// Add cancel handler
let isCancelled = false;
function cancelCalculation() {
isCancelled = true;
console.log('Calculation has been cancelled by user');
// Force-terminate any query that's been running for more than 5 seconds
try {
const connection = getConnection();
connection.then(async (conn) => {
try {
// Identify and terminate long-running queries from our application
await conn.query(`
SELECT pg_cancel_backend(pid)
FROM pg_stat_activity
WHERE query_start < now() - interval '5 seconds'
AND application_name LIKE '%node%'
AND query NOT LIKE '%pg_cancel_backend%'
`);
// Release connection
conn.release();
} catch (err) {
console.error('Error during force cancellation:', err);
conn.release();
}
}).catch(err => {
console.error('Could not get connection for cancellation:', err);
});
} catch (err) {
console.error('Failed to terminate running queries:', err);
}
return {
success: true,
message: 'Calculation has been cancelled'
};
}
// Handle SIGTERM signal for cancellation
process.on('SIGTERM', cancelCalculation);
async function updateProductMetrics() {
let connection;
const startTime = Date.now();
let calculateHistoryId;
// Set a maximum execution time (30 minutes)
const MAX_EXECUTION_TIME = 30 * 60 * 1000;
const timeout = setTimeout(() => {
console.error(`Calculation timed out after ${MAX_EXECUTION_TIME/1000} seconds, forcing termination`);
// Call cancel and force exit
cancelCalculation();
process.exit(1);
}, MAX_EXECUTION_TIME);
try {
// Read the SQL file
const sqlFilePath = path.resolve(__dirname, 'update_product_metrics.sql');
const sqlQuery = fs.readFileSync(sqlFilePath, 'utf8');
// Clean up any previously running calculations
connection = await getConnection();
// Ensure the calculate_status table exists and has the correct structure
await connection.query(`
CREATE TABLE IF NOT EXISTS calculate_status (
module_name TEXT PRIMARY KEY,
last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
)
`);
await connection.query(`
UPDATE calculate_history
SET
status = 'cancelled',
end_time = NOW(),
duration_seconds = EXTRACT(EPOCH FROM (NOW() - start_time))::INTEGER,
error_message = 'Previous calculation was not completed properly'
WHERE status = 'running' AND additional_info->>'type' = 'product_metrics'
`);
// Create history record for this calculation
const historyResult = await connection.query(`
INSERT INTO calculate_history (
start_time,
status,
additional_info
) VALUES (
NOW(),
'running',
jsonb_build_object(
'type', 'product_metrics',
'sql_file', 'update_product_metrics.sql'
)
) RETURNING id
`);
calculateHistoryId = historyResult.rows[0].id;
// Initialize progress
global.outputProgress({
status: 'running',
operation: 'Starting product metrics calculation',
current: 0,
total: 100,
elapsed: '0s',
remaining: 'Calculating...',
rate: 0,
percentage: '0',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
// Execute the SQL query
global.outputProgress({
status: 'running',
operation: 'Executing product metrics SQL query',
current: 25,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: 'Calculating...',
rate: 0,
percentage: '25',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
await connection.query(sqlQuery);
// Update calculate_status table
await connection.query(`
INSERT INTO calculate_status (module_name, last_calculation_timestamp)
VALUES ($1, $2)
ON CONFLICT (module_name) DO UPDATE
SET last_calculation_timestamp = EXCLUDED.last_calculation_timestamp
`, ['product_metrics', new Date()]);
// Update progress to 100%
global.outputProgress({
status: 'complete',
operation: 'Product metrics calculation complete',
current: 100,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: '0s',
rate: 0,
percentage: '100',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
// Update history with completion
await connection.query(`
UPDATE calculate_history
SET
end_time = NOW(),
duration_seconds = $1,
status = 'completed'
WHERE id = $2
`, [Math.round((Date.now() - startTime) / 1000), calculateHistoryId]);
// Clear progress file on successful completion
global.clearProgress();
return {
success: true,
message: 'Product metrics calculation completed successfully',
duration: Math.round((Date.now() - startTime) / 1000)
};
} catch (error) {
const endTime = Date.now();
const totalElapsedSeconds = Math.round((endTime - startTime) / 1000);
// Update history with error
if (connection && calculateHistoryId) {
await connection.query(`
UPDATE calculate_history
SET
end_time = NOW(),
duration_seconds = $1,
status = $2,
error_message = $3
WHERE id = $4
`, [
totalElapsedSeconds,
isCancelled ? 'cancelled' : 'failed',
error.message,
calculateHistoryId
]);
}
if (isCancelled) {
global.outputProgress({
status: 'cancelled',
operation: 'Calculation cancelled',
current: 50,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: null,
rate: 0,
percentage: '50',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
} else {
global.outputProgress({
status: 'error',
operation: 'Error: ' + error.message,
current: 50,
total: 100,
elapsed: global.formatElapsedTime(startTime),
remaining: null,
rate: 0,
percentage: '50',
timing: {
start_time: new Date(startTime).toISOString(),
end_time: new Date().toISOString(),
elapsed_seconds: Math.round((Date.now() - startTime) / 1000)
}
});
}
throw error;
} finally {
// Clear the timeout to prevent forced termination
clearTimeout(timeout);
// Always release connection
if (connection) {
try {
connection.release();
} catch (err) {
console.error('Error in final cleanup:', err);
}
}
}
}
// Export as a module with all necessary functions
module.exports = {
updateProductMetrics,
cancelCalculation,
getProgress: global.getProgress
};
// Run directly if called from command line
if (require.main === module) {
updateProductMetrics().then(() => {
closePool().then(() => {
process.exit(0);
});
}).catch(error => {
console.error('Error:', error);
closePool().then(() => {
process.exit(1);
});
});
}

2
inventory-server/scripts/metrics-new/update_daily_snapshots.sql
View File

@@ -5,7 +5,7 @@
DO $$
DECLARE
_module_name VARCHAR := 'daily_snapshots';
_module_name TEXT := 'daily_snapshots';
_start_time TIMESTAMPTZ := clock_timestamp(); -- Time execution started
_last_calc_time TIMESTAMPTZ;
_target_date DATE := CURRENT_DATE; -- Always recalculate today for simplicity with hourly runs

4
inventory-server/scripts/metrics-new/update_periodic_metrics.sql
View File

@@ -5,7 +5,7 @@
DO $$
DECLARE
_module_name VARCHAR := 'periodic_metrics';
_module_name TEXT := 'periodic_metrics';
_start_time TIMESTAMPTZ := clock_timestamp();
_last_calc_time TIMESTAMPTZ;
_abc_basis VARCHAR;
@@ -25,7 +25,7 @@ BEGIN
WITH LeadTimes AS (
SELECT
pid,
AVG(GREATEST(1, DATE_PART('day', last_received_date - date))) AS avg_days -- Use GREATEST(1,...) to avoid 0 or negative days
AVG(GREATEST(1, (last_received_date::date - date::date))) AS avg_days -- Use GREATEST(1,...) to avoid 0 or negative days
FROM public.purchase_orders
WHERE status = 'received' -- Or potentially 'full_received' if using that status
AND last_received_date IS NOT NULL

12
inventory-server/scripts/metrics-new/update_product_metrics.sql
View File

@@ -5,7 +5,7 @@
DO $$
DECLARE
_module_name VARCHAR := 'product_metrics';
_module_name TEXT := 'product_metrics';
_start_time TIMESTAMPTZ := clock_timestamp();
_last_calc_time TIMESTAMPTZ;
_current_date DATE := CURRENT_DATE;
@@ -179,7 +179,13 @@ BEGIN
ci.current_price, ci.current_regular_price, ci.current_cost_price, ci.current_effective_cost,
ci.current_stock, ci.current_stock * ci.current_effective_cost, ci.current_stock * ci.current_price, ci.current_stock * ci.current_regular_price,
COALESCE(ooi.on_order_qty, 0), COALESCE(ooi.on_order_cost, 0.00), COALESCE(ooi.on_order_qty, 0) * ci.current_price, ooi.earliest_expected_date,
ci.created_at::date, COALESCE(ci.first_received::date, hd.date_first_received_calc), hd.date_last_received_calc, hd.date_first_sold, COALESCE(ci.date_last_sold, hd.max_order_date), DATE_PART('day', _current_date - LEAST(ci.created_at::date, hd.date_first_sold)),
ci.created_at::date, COALESCE(ci.first_received::date, hd.date_first_received_calc), hd.date_last_received_calc, hd.date_first_sold, COALESCE(ci.date_last_sold, hd.max_order_date),
CASE
WHEN ci.created_at IS NULL AND hd.date_first_sold IS NULL THEN 0
WHEN ci.created_at IS NULL THEN (_current_date - hd.date_first_sold)::integer
WHEN hd.date_first_sold IS NULL THEN (_current_date - ci.created_at::date)::integer
ELSE (_current_date - LEAST(ci.created_at::date, hd.date_first_sold))::integer
END AS age_days,
sa.sales_7d, sa.revenue_7d, sa.sales_14d, sa.revenue_14d, sa.sales_30d, sa.revenue_30d, sa.cogs_30d, sa.profit_30d,
sa.returns_units_30d, sa.returns_revenue_30d, sa.discounts_30d, sa.gross_revenue_30d, sa.gross_regular_revenue_30d,
sa.stockout_days_30d, sa.sales_365d, sa.revenue_365d,
@@ -287,7 +293,7 @@ BEGIN
sales_velocity_daily = EXCLUDED.sales_velocity_daily, config_lead_time = EXCLUDED.config_lead_time, config_days_of_stock = EXCLUDED.config_days_of_stock, config_safety_stock = EXCLUDED.config_safety_stock,
planning_period_days = EXCLUDED.planning_period_days, lead_time_forecast_units = EXCLUDED.lead_time_forecast_units, days_of_stock_forecast_units = EXCLUDED.days_of_stock_forecast_units,
planning_period_forecast_units = EXCLUDED.planning_period_forecast_units, lead_time_closing_stock = EXCLUDED.lead_time_closing_stock, days_of_stock_closing_stock = EXCLUDED.days_of_stock_closing_stock,
replenishment_needed_raw = EXCLUDED.replenishment_needed_raw, replenishment_units = EXCLUDED.replenishment_units, replenishment_cost = EXCLUDED.replenishment_cost, replenishment_retail = EXcluded.replenishment_retail, replenishment_profit = EXCLUDED.replenishment_profit,
replenishment_needed_raw = EXCLUDED.replenishment_needed_raw, replenishment_units = EXCLUDED.replenishment_units, replenishment_cost = EXCLUDED.replenishment_cost, replenishment_retail = EXCLUDED.replenishment_retail, replenishment_profit = EXCLUDED.replenishment_profit,
to_order_units = EXCLUDED.to_order_units, forecast_lost_sales_units = EXCLUDED.forecast_lost_sales_units, forecast_lost_revenue = EXCLUDED.forecast_lost_revenue,
stock_cover_in_days = EXCLUDED.stock_cover_in_days, po_cover_in_days = EXCLUDED.po_cover_in_days, sells_out_in_days = EXCLUDED.sells_out_in_days, replenish_date = EXCLUDED.replenish_date,
overstocked_units = EXCLUDED.overstocked_units, overstocked_cost = EXCLUDED.overstocked_cost, overstocked_retail = EXCLUDED.overstocked_retail, is_old_stock = EXCLUDED.is_old_stock,