Optimize orders import
This commit is contained in:
@@ -1,575 +0,0 @@
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const express = require('express');
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const { DateTime } = require('luxon');
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const { getDbConnection } = require('../db/connection');
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const router = express.Router();
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const RANGE_BOUNDS = [
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10, 20, 30, 40, 50, 60, 70, 80, 90,
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100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200,
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300, 400, 500, 1000, 1500, 2000
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];
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const FINAL_BUCKET_KEY = 'PLUS';
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function buildRangeDefinitions() {
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const ranges = [];
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let previous = 0;
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for (const bound of RANGE_BOUNDS) {
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const label = `$${previous.toLocaleString()} - $${bound.toLocaleString()}`;
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const key = bound.toString().padStart(5, '0');
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ranges.push({
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min: previous,
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max: bound,
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label,
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key,
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sort: bound
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});
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previous = bound;
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}
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// Remove the 2000+ category - all orders >2000 will go into the 2000 bucket
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return ranges;
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}
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const RANGE_DEFINITIONS = buildRangeDefinitions();
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const BUCKET_CASE = (() => {
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const parts = [];
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for (let i = 0; i < RANGE_BOUNDS.length; i++) {
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const bound = RANGE_BOUNDS[i];
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const key = bound.toString().padStart(5, '0');
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if (i === RANGE_BOUNDS.length - 1) {
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// For the last bucket (2000), include all orders >= 1500 (previous bound)
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parts.push(`ELSE '${key}'`);
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} else {
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parts.push(`WHEN o.summary_subtotal <= ${bound} THEN '${key}'`);
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}
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}
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return `CASE\n ${parts.join('\n ')}\n END`;
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})();
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const DEFAULT_POINT_DOLLAR_VALUE = 0.005; // 1000 points = $5, so 200 points = $1
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const DEFAULTS = {
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merchantFeePercent: 2.9,
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fixedCostPerOrder: 1.5,
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pointsPerDollar: 0,
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pointsRedemptionRate: 0, // Will be calculated from actual data
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pointDollarValue: DEFAULT_POINT_DOLLAR_VALUE,
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};
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function parseDate(value, fallback) {
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if (!value) {
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return fallback;
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}
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const parsed = DateTime.fromISO(value);
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if (!parsed.isValid) {
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return fallback;
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}
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return parsed;
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}
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function formatDateForSql(dt) {
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return dt.toFormat('yyyy-LL-dd HH:mm:ss');
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}
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function getMidpoint(range) {
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if (range.max == null) {
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return range.min + 200; // Rough estimate for 2000+
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}
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return (range.min + range.max) / 2;
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}
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router.get('/promos', async (req, res) => {
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let connection;
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try {
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const { connection: conn, release } = await getDbConnection();
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connection = conn;
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const releaseConnection = release;
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const { startDate, endDate } = req.query || {};
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const now = DateTime.now().endOf('day');
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const defaultStart = now.minus({ years: 3 }).startOf('day');
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const parsedStart = startDate ? parseDate(startDate, defaultStart).startOf('day') : defaultStart;
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const parsedEnd = endDate ? parseDate(endDate, now).endOf('day') : now;
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const rangeStart = parsedStart <= parsedEnd ? parsedStart : parsedEnd;
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const rangeEnd = parsedEnd >= parsedStart ? parsedEnd : parsedStart;
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const rangeStartSql = formatDateForSql(rangeStart);
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const rangeEndSql = formatDateForSql(rangeEnd);
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const sql = `
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SELECT
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p.promo_id AS id,
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p.promo_code AS code,
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p.promo_description_online AS description_online,
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p.promo_description_private AS description_private,
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p.date_start,
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p.date_end,
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COALESCE(u.usage_count, 0) AS usage_count
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FROM promos p
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LEFT JOIN (
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SELECT
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discount_code,
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COUNT(DISTINCT order_id) AS usage_count
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FROM order_discounts
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WHERE discount_type = 10 AND discount_active = 1
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GROUP BY discount_code
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) u ON u.discount_code = p.promo_id
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WHERE p.date_start IS NOT NULL
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AND p.date_end IS NOT NULL
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AND NOT (p.date_end < ? OR p.date_start > ?)
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AND p.store = 1
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AND p.date_start >= '2010-01-01'
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ORDER BY p.promo_id DESC
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LIMIT 200
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`;
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const [rows] = await connection.execute(sql, [rangeStartSql, rangeEndSql]);
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releaseConnection();
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const promos = rows.map(row => ({
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id: Number(row.id),
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code: row.code,
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description: row.description_online || row.description_private || '',
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privateDescription: row.description_private || '',
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promo_description_online: row.description_online || '',
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promo_description_private: row.description_private || '',
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dateStart: row.date_start,
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dateEnd: row.date_end,
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usageCount: Number(row.usage_count || 0)
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}));
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res.json({ promos });
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} catch (error) {
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if (connection) {
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try {
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connection.destroy();
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} catch (destroyError) {
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console.error('Failed to destroy connection after error:', destroyError);
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}
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}
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console.error('Error fetching promos:', error);
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res.status(500).json({ error: 'Failed to fetch promos' });
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}
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});
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router.post('/simulate', async (req, res) => {
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const {
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dateRange = {},
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filters = {},
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productPromo = {},
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shippingPromo = {},
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shippingTiers = [],
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surcharges = [],
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merchantFeePercent,
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fixedCostPerOrder,
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cogsCalculationMode = 'actual',
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pointsConfig = {}
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} = req.body || {};
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const endDefault = DateTime.now();
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const startDefault = endDefault.minus({ months: 6 });
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const startDt = parseDate(dateRange.start, startDefault).startOf('day');
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const endDt = parseDate(dateRange.end, endDefault).endOf('day');
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const shipCountry = filters.shipCountry || 'US';
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const rawPromoFilters = [
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...(Array.isArray(filters.promoIds) ? filters.promoIds : []),
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...(Array.isArray(filters.promoCodes) ? filters.promoCodes : []),
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];
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const promoCodes = Array.from(
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new Set(
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rawPromoFilters
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.map((value) => {
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if (typeof value === 'string') {
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return value.trim();
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}
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if (typeof value === 'number') {
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return String(value);
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}
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return '';
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})
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.filter((value) => value.length > 0)
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)
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);
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const config = {
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merchantFeePercent: typeof merchantFeePercent === 'number' ? merchantFeePercent : DEFAULTS.merchantFeePercent,
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fixedCostPerOrder: typeof fixedCostPerOrder === 'number' ? fixedCostPerOrder : DEFAULTS.fixedCostPerOrder,
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productPromo: {
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type: productPromo.type || 'none',
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value: Number(productPromo.value || 0),
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minSubtotal: Number(productPromo.minSubtotal || 0)
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},
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shippingPromo: {
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type: shippingPromo.type || 'none',
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value: Number(shippingPromo.value || 0),
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minSubtotal: Number(shippingPromo.minSubtotal || 0),
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maxDiscount: Number(shippingPromo.maxDiscount || 0)
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},
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shippingTiers: Array.isArray(shippingTiers)
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? shippingTiers
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.map(tier => ({
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threshold: Number(tier.threshold || 0),
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mode: tier.mode === 'percentage' || tier.mode === 'flat' ? tier.mode : 'percentage',
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value: Number(tier.value || 0)
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}))
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.filter(tier => tier.threshold >= 0 && tier.value >= 0)
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.sort((a, b) => a.threshold - b.threshold)
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: [],
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surcharges: Array.isArray(surcharges)
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? surcharges
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.map(s => ({
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threshold: Number(s.threshold || 0),
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maxThreshold: typeof s.maxThreshold === 'number' && s.maxThreshold > 0 ? s.maxThreshold : null,
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target: s.target === 'shipping' || s.target === 'order' ? s.target : 'shipping',
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amount: Number(s.amount || 0)
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}))
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.filter(s => s.threshold >= 0 && s.amount >= 0)
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.sort((a, b) => a.threshold - b.threshold)
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: [],
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points: {
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pointsPerDollar: typeof pointsConfig.pointsPerDollar === 'number' ? pointsConfig.pointsPerDollar : null,
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redemptionRate: typeof pointsConfig.redemptionRate === 'number' ? pointsConfig.redemptionRate : null,
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pointDollarValue: typeof pointsConfig.pointDollarValue === 'number'
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? pointsConfig.pointDollarValue
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: DEFAULT_POINT_DOLLAR_VALUE
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}
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};
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let connection;
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let release;
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try {
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const dbConn = await getDbConnection();
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connection = dbConn.connection;
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release = dbConn.release;
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const filteredOrdersParams = [
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shipCountry,
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formatDateForSql(startDt),
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formatDateForSql(endDt)
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];
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const promoJoin = promoCodes.length > 0
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? 'JOIN order_discounts od ON od.order_id = o.order_id AND od.discount_active = 1 AND od.discount_type = 10'
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: '';
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let promoFilterClause = '';
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if (promoCodes.length > 0) {
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const placeholders = promoCodes.map(() => '?').join(',');
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promoFilterClause = `AND od.discount_code IN (${placeholders})`;
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filteredOrdersParams.push(...promoCodes);
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}
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const filteredOrdersQuery = `
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SELECT
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o.order_id,
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o.order_cid,
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o.summary_subtotal,
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o.summary_discount_subtotal,
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o.summary_shipping,
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o.ship_method_rate,
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o.ship_method_cost,
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o.summary_points,
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${BUCKET_CASE} AS bucket_key
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FROM _order o
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${promoJoin}
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WHERE o.summary_shipping > 0
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AND o.summary_total > 0
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AND o.order_status NOT IN (15)
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AND o.ship_method_selected <> 'holdit'
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AND o.ship_country = ?
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AND o.date_placed BETWEEN ? AND ?
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${promoFilterClause}
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`;
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const bucketParams = [
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...filteredOrdersParams,
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formatDateForSql(startDt),
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formatDateForSql(endDt)
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];
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const bucketQuery = `
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SELECT
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f.bucket_key,
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COUNT(*) AS order_count,
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SUM(f.summary_subtotal) AS subtotal_sum,
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SUM(f.summary_discount_subtotal) AS product_discount_sum,
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SUM(f.summary_subtotal + f.summary_discount_subtotal) AS regular_subtotal_sum,
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SUM(f.ship_method_rate) AS ship_rate_sum,
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SUM(f.ship_method_cost) AS ship_cost_sum,
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SUM(f.summary_points) AS points_awarded_sum,
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SUM(COALESCE(p.points_redeemed, 0)) AS points_redeemed_sum,
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SUM(COALESCE(c.total_cogs, 0)) AS cogs_sum,
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AVG(f.summary_subtotal) AS avg_subtotal,
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AVG(f.summary_discount_subtotal) AS avg_product_discount,
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AVG(f.ship_method_rate) AS avg_ship_rate,
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AVG(f.ship_method_cost) AS avg_ship_cost,
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AVG(COALESCE(c.total_cogs, 0)) AS avg_cogs
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FROM (
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${filteredOrdersQuery}
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) AS f
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LEFT JOIN (
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SELECT order_id, SUM(cogs_amount) AS total_cogs
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FROM report_sales_data
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WHERE action IN (1,2,3)
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AND date_change BETWEEN ? AND ?
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GROUP BY order_id
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) AS c ON c.order_id = f.order_id
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LEFT JOIN (
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SELECT order_id, SUM(discount_amount) AS points_redeemed
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FROM order_discounts
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WHERE discount_type = 20 AND discount_active = 1
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GROUP BY order_id
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) AS p ON p.order_id = f.order_id
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GROUP BY f.bucket_key
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`;
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const [rows] = await connection.execute(bucketQuery, bucketParams);
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const totals = {
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orders: 0,
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subtotal: 0,
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productDiscount: 0,
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regularSubtotal: 0,
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shipRate: 0,
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shipCost: 0,
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cogs: 0,
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pointsAwarded: 0,
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pointsRedeemed: 0
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};
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const rowMap = new Map();
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for (const row of rows) {
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const key = row.bucket_key || FINAL_BUCKET_KEY;
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const parsed = {
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orderCount: Number(row.order_count || 0),
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subtotalSum: Number(row.subtotal_sum || 0),
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productDiscountSum: Number(row.product_discount_sum || 0),
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regularSubtotalSum: Number(row.regular_subtotal_sum || 0),
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shipRateSum: Number(row.ship_rate_sum || 0),
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shipCostSum: Number(row.ship_cost_sum || 0),
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pointsAwardedSum: Number(row.points_awarded_sum || 0),
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pointsRedeemedSum: Number(row.points_redeemed_sum || 0),
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cogsSum: Number(row.cogs_sum || 0),
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avgSubtotal: Number(row.avg_subtotal || 0),
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avgProductDiscount: Number(row.avg_product_discount || 0),
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avgShipRate: Number(row.avg_ship_rate || 0),
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avgShipCost: Number(row.avg_ship_cost || 0),
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avgCogs: Number(row.avg_cogs || 0)
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};
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rowMap.set(key, parsed);
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totals.orders += parsed.orderCount;
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totals.subtotal += parsed.subtotalSum;
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totals.productDiscount += parsed.productDiscountSum;
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totals.regularSubtotal += parsed.regularSubtotalSum;
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totals.shipRate += parsed.shipRateSum;
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totals.shipCost += parsed.shipCostSum;
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totals.cogs += parsed.cogsSum;
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totals.pointsAwarded += parsed.pointsAwardedSum;
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totals.pointsRedeemed += parsed.pointsRedeemedSum;
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}
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const productDiscountRate = totals.regularSubtotal > 0
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? totals.productDiscount / totals.regularSubtotal
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: 0;
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const pointsPerDollar = config.points.pointsPerDollar != null
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? config.points.pointsPerDollar
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: totals.subtotal > 0
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? totals.pointsAwarded / totals.subtotal
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: 0;
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const pointDollarValue = config.points.pointDollarValue || DEFAULT_POINT_DOLLAR_VALUE;
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// Calculate redemption rate using dollars redeemed from the matched order set
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let calculatedRedemptionRate = 0;
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if (config.points.redemptionRate != null) {
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calculatedRedemptionRate = config.points.redemptionRate;
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} else if (totals.pointsAwarded > 0 && pointDollarValue > 0) {
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const totalRedeemedPoints = totals.pointsRedeemed / pointDollarValue;
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if (totalRedeemedPoints > 0) {
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calculatedRedemptionRate = Math.min(1, totalRedeemedPoints / totals.pointsAwarded);
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}
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}
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const redemptionRate = calculatedRedemptionRate;
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// Calculate overall average COGS percentage for 'average' mode
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let overallCogsPercentage = 0;
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if (cogsCalculationMode === 'average' && totals.subtotal > 0) {
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overallCogsPercentage = totals.cogs / totals.subtotal;
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}
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const bucketResults = [];
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let weightedProfitAmount = 0;
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let weightedProfitPercent = 0;
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for (const range of RANGE_DEFINITIONS) {
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const data = rowMap.get(range.key) || {
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orderCount: 0,
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avgSubtotal: 0,
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avgShipRate: 0,
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avgShipCost: 0,
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avgCogs: 0
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};
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const orderValue = data.avgSubtotal > 0 ? data.avgSubtotal : getMidpoint(range);
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const shippingChargeBase = data.avgShipCost > 0 ? data.avgShipCost : 0;
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const actualShippingCost = data.avgShipCost > 0 ? data.avgShipCost : 0;
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// Calculate COGS based on the selected mode
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let productCogs;
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if (cogsCalculationMode === 'average') {
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// Use overall average COGS percentage applied to this bucket's order value
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productCogs = orderValue * overallCogsPercentage;
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} else {
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// Use actual COGS data from this bucket (existing behavior)
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productCogs = data.avgCogs > 0 ? data.avgCogs : 0;
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}
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const productDiscountAmount = orderValue * productDiscountRate;
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const effectiveRegularPrice = productDiscountRate < 0.99
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? orderValue / (1 - productDiscountRate)
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: orderValue;
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let promoProductDiscount = 0;
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if (config.productPromo.type === 'percentage_subtotal' && orderValue >= config.productPromo.minSubtotal) {
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promoProductDiscount = Math.min(orderValue, (config.productPromo.value / 100) * orderValue);
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} else if (config.productPromo.type === 'percentage_regular' && orderValue >= config.productPromo.minSubtotal) {
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const targetRate = config.productPromo.value / 100;
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const additionalRate = Math.max(0, targetRate - productDiscountRate);
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promoProductDiscount = Math.min(orderValue, additionalRate * effectiveRegularPrice);
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} else if (config.productPromo.type === 'fixed_amount' && orderValue >= config.productPromo.minSubtotal) {
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promoProductDiscount = Math.min(orderValue, config.productPromo.value);
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}
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let shippingAfterAuto = shippingChargeBase;
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for (const tier of config.shippingTiers) {
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if (orderValue >= tier.threshold) {
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if (tier.mode === 'percentage') {
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shippingAfterAuto = shippingChargeBase * Math.max(0, 1 - tier.value / 100);
|
||||
} else if (tier.mode === 'flat') {
|
||||
shippingAfterAuto = tier.value;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let shipPromoDiscount = 0;
|
||||
if (config.shippingPromo.type !== 'none' && orderValue >= config.shippingPromo.minSubtotal) {
|
||||
if (config.shippingPromo.type === 'percentage') {
|
||||
shipPromoDiscount = shippingAfterAuto * (config.shippingPromo.value / 100);
|
||||
} else if (config.shippingPromo.type === 'fixed') {
|
||||
shipPromoDiscount = config.shippingPromo.value;
|
||||
}
|
||||
if (config.shippingPromo.maxDiscount > 0) {
|
||||
shipPromoDiscount = Math.min(shipPromoDiscount, config.shippingPromo.maxDiscount);
|
||||
}
|
||||
shipPromoDiscount = Math.min(shipPromoDiscount, shippingAfterAuto);
|
||||
}
|
||||
|
||||
// Calculate surcharges
|
||||
let shippingSurcharge = 0;
|
||||
let orderSurcharge = 0;
|
||||
for (const surcharge of config.surcharges) {
|
||||
const meetsMin = orderValue >= surcharge.threshold;
|
||||
const meetsMax = surcharge.maxThreshold == null || orderValue < surcharge.maxThreshold;
|
||||
if (meetsMin && meetsMax) {
|
||||
if (surcharge.target === 'shipping') {
|
||||
shippingSurcharge += surcharge.amount;
|
||||
} else if (surcharge.target === 'order') {
|
||||
orderSurcharge += surcharge.amount;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const customerShipCost = Math.max(0, shippingAfterAuto - shipPromoDiscount + shippingSurcharge);
|
||||
const customerItemCost = Math.max(0, orderValue - promoProductDiscount + orderSurcharge);
|
||||
const totalRevenue = customerItemCost + customerShipCost;
|
||||
|
||||
const merchantFees = totalRevenue * (config.merchantFeePercent / 100);
|
||||
const pointsCost = customerItemCost * pointsPerDollar * redemptionRate * pointDollarValue;
|
||||
const fixedCosts = config.fixedCostPerOrder;
|
||||
const totalCosts = productCogs + actualShippingCost + merchantFees + pointsCost + fixedCosts;
|
||||
const profit = totalRevenue - totalCosts;
|
||||
const profitPercent = totalRevenue > 0 ? (profit / totalRevenue) : 0;
|
||||
const weight = totals.orders > 0 ? (data.orderCount || 0) / totals.orders : 0;
|
||||
|
||||
weightedProfitAmount += profit * weight;
|
||||
weightedProfitPercent += profitPercent * weight;
|
||||
|
||||
bucketResults.push({
|
||||
key: range.key,
|
||||
label: range.label,
|
||||
min: range.min,
|
||||
max: range.max,
|
||||
orderCount: data.orderCount || 0,
|
||||
weight,
|
||||
orderValue,
|
||||
productDiscountAmount,
|
||||
promoProductDiscount,
|
||||
customerItemCost,
|
||||
shippingChargeBase,
|
||||
shippingAfterAuto,
|
||||
shipPromoDiscount,
|
||||
shippingSurcharge,
|
||||
orderSurcharge,
|
||||
customerShipCost,
|
||||
actualShippingCost,
|
||||
totalRevenue,
|
||||
productCogs,
|
||||
merchantFees,
|
||||
pointsCost,
|
||||
fixedCosts,
|
||||
totalCosts,
|
||||
profit,
|
||||
profitPercent
|
||||
});
|
||||
}
|
||||
|
||||
if (release) {
|
||||
release();
|
||||
}
|
||||
|
||||
res.json({
|
||||
dateRange: {
|
||||
start: startDt.toISO(),
|
||||
end: endDt.toISO()
|
||||
},
|
||||
totals: {
|
||||
orders: totals.orders,
|
||||
subtotal: totals.subtotal,
|
||||
productDiscountRate,
|
||||
pointsPerDollar,
|
||||
redemptionRate,
|
||||
pointDollarValue,
|
||||
weightedProfitAmount,
|
||||
weightedProfitPercent,
|
||||
overallCogsPercentage: cogsCalculationMode === 'average' ? overallCogsPercentage : undefined
|
||||
},
|
||||
buckets: bucketResults
|
||||
});
|
||||
} catch (error) {
|
||||
if (release) {
|
||||
try {
|
||||
release();
|
||||
} catch (releaseError) {
|
||||
console.error('Failed to release connection after error:', releaseError);
|
||||
}
|
||||
} else if (connection) {
|
||||
try {
|
||||
connection.destroy();
|
||||
} catch (destroyError) {
|
||||
console.error('Failed to destroy connection after error:', destroyError);
|
||||
}
|
||||
}
|
||||
|
||||
console.error('Error running discount simulation:', error);
|
||||
res.status(500).json({ error: 'Failed to run discount simulation' });
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,683 +0,0 @@
|
||||
const express = require('express');
|
||||
const { DateTime } = require('luxon');
|
||||
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getPoolStatus } = require('../db/connection');
|
||||
const {
|
||||
getTimeRangeConditions,
|
||||
_internal: timeHelpers
|
||||
} = require('../utils/timeUtils');
|
||||
|
||||
const TIMEZONE = 'America/New_York';
|
||||
|
||||
// Punch types from the database
|
||||
const PUNCH_TYPES = {
|
||||
OUT: 0,
|
||||
IN: 1,
|
||||
BREAK_START: 2,
|
||||
BREAK_END: 3,
|
||||
};
|
||||
|
||||
// Standard hours for FTE calculation (40 hours per week)
|
||||
const STANDARD_WEEKLY_HOURS = 40;
|
||||
|
||||
/**
|
||||
* Calculate working hours from timeclock entries
|
||||
* Groups punches by employee and date, pairs in/out punches
|
||||
* Returns both total hours (with breaks, for FTE) and productive hours (without breaks, for productivity)
|
||||
*/
|
||||
function calculateHoursFromPunches(punches) {
|
||||
// Group by employee
|
||||
const byEmployee = new Map();
|
||||
|
||||
punches.forEach(punch => {
|
||||
if (!byEmployee.has(punch.EmployeeID)) {
|
||||
byEmployee.set(punch.EmployeeID, []);
|
||||
}
|
||||
byEmployee.get(punch.EmployeeID).push(punch);
|
||||
});
|
||||
|
||||
const employeeHours = [];
|
||||
let totalHours = 0;
|
||||
let totalBreakHours = 0;
|
||||
|
||||
byEmployee.forEach((employeePunches, employeeId) => {
|
||||
// Sort by timestamp
|
||||
employeePunches.sort((a, b) => new Date(a.TimeStamp) - new Date(b.TimeStamp));
|
||||
|
||||
let hours = 0;
|
||||
let breakHours = 0;
|
||||
let currentIn = null;
|
||||
let breakStart = null;
|
||||
|
||||
employeePunches.forEach(punch => {
|
||||
const punchTime = new Date(punch.TimeStamp);
|
||||
|
||||
switch (punch.PunchType) {
|
||||
case PUNCH_TYPES.IN:
|
||||
currentIn = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.OUT:
|
||||
if (currentIn) {
|
||||
hours += (punchTime - currentIn) / (1000 * 60 * 60); // Convert ms to hours
|
||||
currentIn = null;
|
||||
}
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_START:
|
||||
breakStart = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_END:
|
||||
if (breakStart) {
|
||||
breakHours += (punchTime - breakStart) / (1000 * 60 * 60);
|
||||
breakStart = null;
|
||||
}
|
||||
break;
|
||||
}
|
||||
});
|
||||
|
||||
totalHours += hours;
|
||||
totalBreakHours += breakHours;
|
||||
|
||||
employeeHours.push({
|
||||
employeeId,
|
||||
hours,
|
||||
breakHours,
|
||||
productiveHours: hours - breakHours,
|
||||
});
|
||||
});
|
||||
|
||||
return {
|
||||
employeeHours,
|
||||
totalHours,
|
||||
totalBreakHours,
|
||||
totalProductiveHours: totalHours - totalBreakHours
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate FTE (Full Time Equivalents) for a period
|
||||
* @param {number} totalHours - Total hours worked
|
||||
* @param {Date} startDate - Period start
|
||||
* @param {Date} endDate - Period end
|
||||
*/
|
||||
function calculateFTE(totalHours, startDate, endDate) {
|
||||
const start = new Date(startDate);
|
||||
const end = new Date(endDate);
|
||||
const days = Math.max(1, (end - start) / (1000 * 60 * 60 * 24));
|
||||
const weeks = days / 7;
|
||||
const expectedHours = weeks * STANDARD_WEEKLY_HOURS;
|
||||
|
||||
return expectedHours > 0 ? totalHours / expectedHours : 0;
|
||||
}
|
||||
|
||||
// Main employee metrics endpoint
|
||||
router.get('/', async (req, res) => {
|
||||
const startTime = Date.now();
|
||||
console.log(`[EMPLOYEE-METRICS] Starting request for timeRange: ${req.query.timeRange}`);
|
||||
|
||||
const timeoutPromise = new Promise((_, reject) => {
|
||||
setTimeout(() => reject(new Error('Request timeout after 30 seconds')), 30000);
|
||||
});
|
||||
|
||||
try {
|
||||
const mainOperation = async () => {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
console.log(`[EMPLOYEE-METRICS] Getting DB connection...`);
|
||||
const { connection, release } = await getDbConnection();
|
||||
console.log(`[EMPLOYEE-METRICS] DB connection obtained in ${Date.now() - startTime}ms`);
|
||||
|
||||
const { whereClause, params, dateRange } = getTimeRangeConditions(timeRange, startDate, endDate);
|
||||
|
||||
// Adapt where clause for timeclock table (uses TimeStamp instead of date_placed)
|
||||
const timeclockWhere = whereClause.replace(/date_placed/g, 'tc.TimeStamp');
|
||||
|
||||
// Query for timeclock data with employee names
|
||||
const timeclockQuery = `
|
||||
SELECT
|
||||
tc.EmployeeID,
|
||||
tc.TimeStamp,
|
||||
tc.PunchType,
|
||||
e.firstname,
|
||||
e.lastname
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE ${timeclockWhere}
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY tc.EmployeeID, tc.TimeStamp
|
||||
`;
|
||||
|
||||
const [timeclockRows] = await connection.execute(timeclockQuery, params);
|
||||
|
||||
// Calculate hours (includes both total hours for FTE and productive hours for productivity)
|
||||
const { employeeHours, totalHours, totalBreakHours, totalProductiveHours } = calculateHoursFromPunches(timeclockRows);
|
||||
|
||||
// Get employee names for the results
|
||||
const employeeNames = new Map();
|
||||
timeclockRows.forEach(row => {
|
||||
if (!employeeNames.has(row.EmployeeID)) {
|
||||
employeeNames.set(row.EmployeeID, {
|
||||
firstname: row.firstname || '',
|
||||
lastname: row.lastname || '',
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Enrich employee hours with names
|
||||
const enrichedEmployeeHours = employeeHours.map(eh => ({
|
||||
...eh,
|
||||
name: employeeNames.has(eh.employeeId)
|
||||
? `${employeeNames.get(eh.employeeId).firstname} ${employeeNames.get(eh.employeeId).lastname}`.trim()
|
||||
: `Employee ${eh.employeeId}`,
|
||||
})).sort((a, b) => b.hours - a.hours);
|
||||
|
||||
// Query for picking tickets - using subquery to avoid duplication from bucket join
|
||||
// Ship-together orders: only count main orders (is_sub = 0 or NULL), not sub-orders
|
||||
const pickingWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
// First get picking ticket stats without the bucket join (to avoid duplication)
|
||||
const pickingStatsQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT pt.pickingid) as ticketCount,
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds,
|
||||
AVG(NULLIF(pt.picking_speed, 0)) as avgPickingSpeed
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN employees e ON pt.createdby = e.employeeid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby, e.firstname, e.lastname
|
||||
`;
|
||||
|
||||
// Separate query for order counts (needs bucket join for ship-together handling)
|
||||
const orderCountQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby
|
||||
`;
|
||||
|
||||
const [[pickingStatsRows], [orderCountRows]] = await Promise.all([
|
||||
connection.execute(pickingStatsQuery, params),
|
||||
connection.execute(orderCountQuery, params)
|
||||
]);
|
||||
|
||||
// Merge the results
|
||||
const orderCountMap = new Map();
|
||||
orderCountRows.forEach(row => {
|
||||
orderCountMap.set(row.employeeId, parseInt(row.ordersPicked || 0));
|
||||
});
|
||||
|
||||
// Aggregate picking totals
|
||||
let totalOrdersPicked = 0;
|
||||
let totalPiecesPicked = 0;
|
||||
let totalTickets = 0;
|
||||
let totalPickingTimeSeconds = 0;
|
||||
let pickingSpeedSum = 0;
|
||||
let pickingSpeedCount = 0;
|
||||
|
||||
const pickingByEmployee = pickingStatsRows.map(row => {
|
||||
const ordersPicked = orderCountMap.get(row.employeeId) || 0;
|
||||
totalOrdersPicked += ordersPicked;
|
||||
totalPiecesPicked += parseInt(row.piecesPicked || 0);
|
||||
totalTickets += parseInt(row.ticketCount || 0);
|
||||
totalPickingTimeSeconds += parseInt(row.pickingTimeSeconds || 0);
|
||||
if (row.avgPickingSpeed && row.avgPickingSpeed > 0) {
|
||||
pickingSpeedSum += parseFloat(row.avgPickingSpeed);
|
||||
pickingSpeedCount++;
|
||||
}
|
||||
|
||||
const empPickingHours = parseInt(row.pickingTimeSeconds || 0) / 3600;
|
||||
|
||||
return {
|
||||
employeeId: row.employeeId,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeId}`,
|
||||
ticketCount: parseInt(row.ticketCount || 0),
|
||||
ordersPicked,
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
pickingHours: empPickingHours,
|
||||
avgPickingSpeed: row.avgPickingSpeed ? parseFloat(row.avgPickingSpeed) : null,
|
||||
};
|
||||
});
|
||||
|
||||
const totalPickingHours = totalPickingTimeSeconds / 3600;
|
||||
const avgPickingSpeed = pickingSpeedCount > 0 ? pickingSpeedSum / pickingSpeedCount : 0;
|
||||
|
||||
// Query for shipped orders - totals
|
||||
// Ship-together orders: only count main orders (order_type != 8 for sub-orders, or use parent tracking)
|
||||
const shippingWhere = whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
|
||||
const shippingQuery = `
|
||||
SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
`;
|
||||
|
||||
const [shippingRows] = await connection.execute(shippingQuery, params);
|
||||
const shipping = shippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Query for shipped orders by employee
|
||||
const shippingByEmployeeQuery = `
|
||||
SELECT
|
||||
e.employeeid,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
JOIN employees e ON o.stats_cid_shipped = e.cid
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
GROUP BY e.employeeid, e.firstname, e.lastname
|
||||
ORDER BY ordersShipped DESC
|
||||
`;
|
||||
|
||||
const [shippingByEmployeeRows] = await connection.execute(shippingByEmployeeQuery, params);
|
||||
const shippingByEmployee = shippingByEmployeeRows.map(row => ({
|
||||
employeeId: row.employeeid,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeid}`,
|
||||
ordersShipped: parseInt(row.ordersShipped || 0),
|
||||
piecesShipped: parseInt(row.piecesShipped || 0),
|
||||
}));
|
||||
|
||||
// Calculate period dates for FTE calculation
|
||||
let periodStart, periodEnd;
|
||||
if (dateRange?.start) {
|
||||
periodStart = new Date(dateRange.start);
|
||||
} else if (params[0]) {
|
||||
periodStart = new Date(params[0]);
|
||||
} else {
|
||||
periodStart = new Date();
|
||||
periodStart.setDate(periodStart.getDate() - 30);
|
||||
}
|
||||
|
||||
if (dateRange?.end) {
|
||||
periodEnd = new Date(dateRange.end);
|
||||
} else if (params[1]) {
|
||||
periodEnd = new Date(params[1]);
|
||||
} else {
|
||||
periodEnd = new Date();
|
||||
}
|
||||
|
||||
const fte = calculateFTE(totalHours, periodStart, periodEnd);
|
||||
const activeEmployees = enrichedEmployeeHours.filter(e => e.hours > 0).length;
|
||||
|
||||
// Calculate weeks in period for weekly averages
|
||||
const periodDays = Math.max(1, (periodEnd - periodStart) / (1000 * 60 * 60 * 24));
|
||||
const weeksInPeriod = periodDays / 7;
|
||||
|
||||
// Get daily trend data for hours
|
||||
// Use DATE_FORMAT to get date string in Eastern timezone, avoiding JS timezone conversion issues
|
||||
// Business day starts at 1 AM, so subtract 1 hour before taking the date
|
||||
const trendWhere = whereClause.replace(/date_placed/g, 'tc.TimeStamp');
|
||||
const trendQuery = `
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(tc.TimeStamp, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
tc.EmployeeID,
|
||||
tc.TimeStamp,
|
||||
tc.PunchType
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE ${trendWhere}
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY date, tc.EmployeeID, tc.TimeStamp
|
||||
`;
|
||||
|
||||
const [trendRows] = await connection.execute(trendQuery, params);
|
||||
|
||||
// Get daily picking data for trend
|
||||
// Ship-together orders: only count main orders (is_sub = 0 or NULL)
|
||||
// Use DATE_FORMAT for consistent date string format
|
||||
const pickingTrendWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
const pickingTrendQuery = `
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked,
|
||||
COALESCE(SUM(pt.totalpieces_picked), 0) as piecesPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingTrendWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
ORDER BY date
|
||||
`;
|
||||
|
||||
const [pickingTrendRows] = await connection.execute(pickingTrendQuery, params);
|
||||
|
||||
// Create a map of picking data by date
|
||||
const pickingByDate = new Map();
|
||||
pickingTrendRows.forEach(row => {
|
||||
// Date is already a string in YYYY-MM-DD format from DATE_FORMAT
|
||||
const date = String(row.date);
|
||||
pickingByDate.set(date, {
|
||||
ordersPicked: parseInt(row.ordersPicked || 0),
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
});
|
||||
});
|
||||
|
||||
// Group timeclock by date for trend
|
||||
const byDate = new Map();
|
||||
trendRows.forEach(row => {
|
||||
// Date is already a string in YYYY-MM-DD format from DATE_FORMAT
|
||||
const date = String(row.date);
|
||||
if (!byDate.has(date)) {
|
||||
byDate.set(date, []);
|
||||
}
|
||||
byDate.get(date).push(row);
|
||||
});
|
||||
|
||||
// Generate all dates in the period range for complete trend data
|
||||
const allDatesInRange = [];
|
||||
const startDt = DateTime.fromJSDate(periodStart).setZone(TIMEZONE).startOf('day');
|
||||
const endDt = DateTime.fromJSDate(periodEnd).setZone(TIMEZONE).startOf('day');
|
||||
|
||||
let currentDt = startDt;
|
||||
while (currentDt <= endDt) {
|
||||
allDatesInRange.push(currentDt.toFormat('yyyy-MM-dd'));
|
||||
currentDt = currentDt.plus({ days: 1 });
|
||||
}
|
||||
|
||||
// Build trend data for all dates in range, filling zeros for missing days
|
||||
const trend = allDatesInRange.map(date => {
|
||||
const punches = byDate.get(date) || [];
|
||||
const { totalHours: dayHours, employeeHours: dayEmployeeHours } = calculateHoursFromPunches(punches);
|
||||
const picking = pickingByDate.get(date) || { ordersPicked: 0, piecesPicked: 0 };
|
||||
|
||||
// Parse date string in Eastern timezone to get proper ISO timestamp
|
||||
const dateDt = DateTime.fromFormat(date, 'yyyy-MM-dd', { zone: TIMEZONE });
|
||||
|
||||
return {
|
||||
date,
|
||||
timestamp: dateDt.toISO(),
|
||||
hours: dayHours,
|
||||
activeEmployees: dayEmployeeHours.filter(e => e.hours > 0).length,
|
||||
ordersPicked: picking.ordersPicked,
|
||||
piecesPicked: picking.piecesPicked,
|
||||
};
|
||||
});
|
||||
|
||||
// Get previous period data for comparison
|
||||
const previousRange = getPreviousPeriodRange(timeRange, startDate, endDate);
|
||||
let comparison = null;
|
||||
let previousTotals = null;
|
||||
|
||||
if (previousRange) {
|
||||
const prevTimeclockWhere = previousRange.whereClause.replace(/date_placed/g, 'tc.TimeStamp');
|
||||
|
||||
const [prevTimeclockRows] = await connection.execute(
|
||||
`SELECT tc.EmployeeID, tc.TimeStamp, tc.PunchType
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE ${prevTimeclockWhere}
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY tc.EmployeeID, tc.TimeStamp`,
|
||||
previousRange.params
|
||||
);
|
||||
|
||||
const {
|
||||
totalHours: prevTotalHours,
|
||||
totalProductiveHours: prevProductiveHours,
|
||||
employeeHours: prevEmployeeHours
|
||||
} = calculateHoursFromPunches(prevTimeclockRows);
|
||||
const prevActiveEmployees = prevEmployeeHours.filter(e => e.hours > 0).length;
|
||||
|
||||
// Previous picking data (ship-together fix applied)
|
||||
// Use separate queries to avoid duplication from bucket join
|
||||
const prevPickingWhere = previousRange.whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
const [[prevPickingStatsRows], [prevOrderCountRows]] = await Promise.all([
|
||||
connection.execute(
|
||||
`SELECT
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds
|
||||
FROM picking_ticket pt
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
),
|
||||
connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
)
|
||||
]);
|
||||
|
||||
const prevPickingStats = prevPickingStatsRows[0] || { piecesPicked: 0, pickingTimeSeconds: 0 };
|
||||
const prevOrderCount = prevOrderCountRows[0] || { ordersPicked: 0 };
|
||||
const prevPicking = {
|
||||
ordersPicked: parseInt(prevOrderCount.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPickingStats.piecesPicked || 0),
|
||||
pickingTimeSeconds: parseInt(prevPickingStats.pickingTimeSeconds || 0)
|
||||
};
|
||||
const prevPickingHours = prevPicking.pickingTimeSeconds / 3600;
|
||||
|
||||
// Previous shipping data
|
||||
const prevShippingWhere = previousRange.whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
const [prevShippingRows] = await connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${prevShippingWhere}
|
||||
AND o.order_status IN (100, 92)`,
|
||||
previousRange.params
|
||||
);
|
||||
const prevShipping = prevShippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Calculate previous period FTE and productivity
|
||||
const prevFte = calculateFTE(prevTotalHours, previousRange.start || periodStart, previousRange.end || periodEnd);
|
||||
const prevOrdersPerHour = prevProductiveHours > 0 ? parseInt(prevPicking.ordersPicked || 0) / prevProductiveHours : 0;
|
||||
const prevPiecesPerHour = prevProductiveHours > 0 ? parseInt(prevPicking.piecesPicked || 0) / prevProductiveHours : 0;
|
||||
|
||||
previousTotals = {
|
||||
hours: prevTotalHours,
|
||||
productiveHours: prevProductiveHours,
|
||||
activeEmployees: prevActiveEmployees,
|
||||
fte: prevFte,
|
||||
ordersPicked: parseInt(prevPicking.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPicking.piecesPicked || 0),
|
||||
pickingHours: prevPickingHours,
|
||||
ordersShipped: parseInt(prevShipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(prevShipping.piecesShipped || 0),
|
||||
ordersPerHour: prevOrdersPerHour,
|
||||
piecesPerHour: prevPiecesPerHour,
|
||||
};
|
||||
|
||||
// Calculate productivity metrics for comparison
|
||||
const currentOrdersPerHour = totalProductiveHours > 0 ? totalOrdersPicked / totalProductiveHours : 0;
|
||||
const currentPiecesPerHour = totalProductiveHours > 0 ? totalPiecesPicked / totalProductiveHours : 0;
|
||||
|
||||
comparison = {
|
||||
hours: calculateComparison(totalHours, prevTotalHours),
|
||||
productiveHours: calculateComparison(totalProductiveHours, prevProductiveHours),
|
||||
activeEmployees: calculateComparison(activeEmployees, prevActiveEmployees),
|
||||
fte: calculateComparison(fte, prevFte),
|
||||
ordersPicked: calculateComparison(totalOrdersPicked, parseInt(prevPicking.ordersPicked || 0)),
|
||||
piecesPicked: calculateComparison(totalPiecesPicked, parseInt(prevPicking.piecesPicked || 0)),
|
||||
ordersShipped: calculateComparison(parseInt(shipping.ordersShipped || 0), parseInt(prevShipping.ordersShipped || 0)),
|
||||
piecesShipped: calculateComparison(parseInt(shipping.piecesShipped || 0), parseInt(prevShipping.piecesShipped || 0)),
|
||||
ordersPerHour: calculateComparison(currentOrdersPerHour, prevOrdersPerHour),
|
||||
piecesPerHour: calculateComparison(currentPiecesPerHour, prevPiecesPerHour),
|
||||
};
|
||||
}
|
||||
|
||||
// Calculate efficiency (picking time vs productive hours)
|
||||
const pickingEfficiency = totalProductiveHours > 0 ? (totalPickingHours / totalProductiveHours) * 100 : 0;
|
||||
|
||||
const response = {
|
||||
dateRange,
|
||||
totals: {
|
||||
// Time metrics
|
||||
hours: totalHours,
|
||||
breakHours: totalBreakHours,
|
||||
productiveHours: totalProductiveHours,
|
||||
pickingHours: totalPickingHours,
|
||||
|
||||
// Employee metrics
|
||||
activeEmployees,
|
||||
fte,
|
||||
weeksInPeriod,
|
||||
|
||||
// Picking metrics
|
||||
ordersPicked: totalOrdersPicked,
|
||||
piecesPicked: totalPiecesPicked,
|
||||
ticketCount: totalTickets,
|
||||
|
||||
// Shipping metrics
|
||||
ordersShipped: parseInt(shipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(shipping.piecesShipped || 0),
|
||||
|
||||
// Calculated metrics - standardized to weekly
|
||||
hoursPerWeek: weeksInPeriod > 0 ? totalHours / weeksInPeriod : 0,
|
||||
hoursPerEmployeePerWeek: activeEmployees > 0 && weeksInPeriod > 0
|
||||
? (totalHours / activeEmployees) / weeksInPeriod
|
||||
: 0,
|
||||
|
||||
// Productivity metrics (uses productive hours - excludes breaks)
|
||||
ordersPerHour: totalProductiveHours > 0 ? totalOrdersPicked / totalProductiveHours : 0,
|
||||
piecesPerHour: totalProductiveHours > 0 ? totalPiecesPicked / totalProductiveHours : 0,
|
||||
|
||||
// Picking speed from database (more accurate, only counts picking time)
|
||||
avgPickingSpeed,
|
||||
|
||||
// Efficiency metrics
|
||||
pickingEfficiency,
|
||||
},
|
||||
previousTotals,
|
||||
comparison,
|
||||
byEmployee: {
|
||||
hours: enrichedEmployeeHours,
|
||||
picking: pickingByEmployee,
|
||||
shipping: shippingByEmployee,
|
||||
},
|
||||
trend,
|
||||
};
|
||||
|
||||
return { response, release };
|
||||
};
|
||||
|
||||
let result;
|
||||
try {
|
||||
result = await Promise.race([mainOperation(), timeoutPromise]);
|
||||
} catch (error) {
|
||||
if (error.message.includes('timeout')) {
|
||||
console.log(`[EMPLOYEE-METRICS] Request timed out in ${Date.now() - startTime}ms`);
|
||||
throw error;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
|
||||
const { response, release } = result;
|
||||
|
||||
if (release) release();
|
||||
|
||||
console.log(`[EMPLOYEE-METRICS] Request completed in ${Date.now() - startTime}ms`);
|
||||
res.json(response);
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error in /employee-metrics:', error);
|
||||
console.log(`[EMPLOYEE-METRICS] Request failed in ${Date.now() - startTime}ms`);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Health check
|
||||
router.get('/health', async (req, res) => {
|
||||
try {
|
||||
const { connection, release } = await getDbConnection();
|
||||
await connection.execute('SELECT 1 as test');
|
||||
release();
|
||||
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
pool: getPoolStatus(),
|
||||
});
|
||||
} catch (error) {
|
||||
res.status(500).json({
|
||||
status: 'unhealthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
error: error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Helper functions
|
||||
function calculateComparison(currentValue, previousValue) {
|
||||
if (typeof previousValue !== 'number') {
|
||||
return { absolute: null, percentage: null };
|
||||
}
|
||||
|
||||
const absolute = typeof currentValue === 'number' ? currentValue - previousValue : null;
|
||||
const percentage =
|
||||
absolute !== null && previousValue !== 0
|
||||
? (absolute / Math.abs(previousValue)) * 100
|
||||
: null;
|
||||
|
||||
return { absolute, percentage };
|
||||
}
|
||||
|
||||
function getPreviousPeriodRange(timeRange, startDate, endDate) {
|
||||
if (timeRange && timeRange !== 'custom') {
|
||||
const prevTimeRange = getPreviousTimeRange(timeRange);
|
||||
if (!prevTimeRange || prevTimeRange === timeRange) {
|
||||
return null;
|
||||
}
|
||||
return getTimeRangeConditions(prevTimeRange);
|
||||
}
|
||||
|
||||
const hasCustomDates = (timeRange === 'custom' || !timeRange) && startDate && endDate;
|
||||
if (!hasCustomDates) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const start = new Date(startDate);
|
||||
const end = new Date(endDate);
|
||||
|
||||
if (Number.isNaN(start.getTime()) || Number.isNaN(end.getTime())) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const duration = end.getTime() - start.getTime();
|
||||
if (!Number.isFinite(duration) || duration <= 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const prevEnd = new Date(start.getTime() - 1);
|
||||
const prevStart = new Date(prevEnd.getTime() - duration);
|
||||
|
||||
return getTimeRangeConditions('custom', prevStart.toISOString(), prevEnd.toISOString());
|
||||
}
|
||||
|
||||
function getPreviousTimeRange(timeRange) {
|
||||
const map = {
|
||||
today: 'yesterday',
|
||||
thisWeek: 'lastWeek',
|
||||
thisMonth: 'lastMonth',
|
||||
last7days: 'previous7days',
|
||||
last30days: 'previous30days',
|
||||
last90days: 'previous90days',
|
||||
yesterday: 'twoDaysAgo'
|
||||
};
|
||||
return map[timeRange] || timeRange;
|
||||
}
|
||||
|
||||
module.exports = router;
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,484 +0,0 @@
|
||||
const express = require('express');
|
||||
const { DateTime } = require('luxon');
|
||||
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getPoolStatus } = require('../db/connection');
|
||||
const {
|
||||
getTimeRangeConditions,
|
||||
} = require('../utils/timeUtils');
|
||||
|
||||
const TIMEZONE = 'America/New_York';
|
||||
|
||||
// Main operations metrics endpoint - focused on picking and shipping
|
||||
router.get('/', async (req, res) => {
|
||||
const startTime = Date.now();
|
||||
console.log(`[OPERATIONS-METRICS] Starting request for timeRange: ${req.query.timeRange}`);
|
||||
|
||||
const timeoutPromise = new Promise((_, reject) => {
|
||||
setTimeout(() => reject(new Error('Request timeout after 30 seconds')), 30000);
|
||||
});
|
||||
|
||||
try {
|
||||
const mainOperation = async () => {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
console.log(`[OPERATIONS-METRICS] Getting DB connection...`);
|
||||
const { connection, release } = await getDbConnection();
|
||||
console.log(`[OPERATIONS-METRICS] DB connection obtained in ${Date.now() - startTime}ms`);
|
||||
|
||||
const { whereClause, params, dateRange } = getTimeRangeConditions(timeRange, startDate, endDate);
|
||||
|
||||
// Query for picking tickets - using subquery to avoid duplication from bucket join
|
||||
// Ship-together orders: only count main orders (is_sub = 0 or NULL), not sub-orders
|
||||
const pickingWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
// First get picking ticket stats without the bucket join (to avoid duplication)
|
||||
const pickingStatsQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT pt.pickingid) as ticketCount,
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds,
|
||||
AVG(NULLIF(pt.picking_speed, 0)) as avgPickingSpeed
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN employees e ON pt.createdby = e.employeeid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby, e.firstname, e.lastname
|
||||
`;
|
||||
|
||||
// Separate query for order counts (needs bucket join for ship-together handling)
|
||||
const orderCountQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby
|
||||
`;
|
||||
|
||||
const [[pickingStatsRows], [orderCountRows]] = await Promise.all([
|
||||
connection.execute(pickingStatsQuery, params),
|
||||
connection.execute(orderCountQuery, params)
|
||||
]);
|
||||
|
||||
// Merge the results
|
||||
const orderCountMap = new Map();
|
||||
orderCountRows.forEach(row => {
|
||||
orderCountMap.set(row.employeeId, parseInt(row.ordersPicked || 0));
|
||||
});
|
||||
|
||||
// Aggregate picking totals
|
||||
let totalOrdersPicked = 0;
|
||||
let totalPiecesPicked = 0;
|
||||
let totalTickets = 0;
|
||||
let totalPickingTimeSeconds = 0;
|
||||
let pickingSpeedSum = 0;
|
||||
let pickingSpeedCount = 0;
|
||||
|
||||
const pickingByEmployee = pickingStatsRows.map(row => {
|
||||
const ordersPicked = orderCountMap.get(row.employeeId) || 0;
|
||||
totalOrdersPicked += ordersPicked;
|
||||
totalPiecesPicked += parseInt(row.piecesPicked || 0);
|
||||
totalTickets += parseInt(row.ticketCount || 0);
|
||||
totalPickingTimeSeconds += parseInt(row.pickingTimeSeconds || 0);
|
||||
if (row.avgPickingSpeed && row.avgPickingSpeed > 0) {
|
||||
pickingSpeedSum += parseFloat(row.avgPickingSpeed);
|
||||
pickingSpeedCount++;
|
||||
}
|
||||
|
||||
const empPickingHours = parseInt(row.pickingTimeSeconds || 0) / 3600;
|
||||
|
||||
return {
|
||||
employeeId: row.employeeId,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeId}`,
|
||||
ticketCount: parseInt(row.ticketCount || 0),
|
||||
ordersPicked,
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
pickingHours: empPickingHours,
|
||||
avgPickingSpeed: row.avgPickingSpeed ? parseFloat(row.avgPickingSpeed) : null,
|
||||
};
|
||||
});
|
||||
|
||||
const totalPickingHours = totalPickingTimeSeconds / 3600;
|
||||
const avgPickingSpeed = pickingSpeedCount > 0 ? pickingSpeedSum / pickingSpeedCount : 0;
|
||||
|
||||
// Query for shipped orders - totals
|
||||
// Ship-together orders: only count main orders (order_type != 8 for sub-orders)
|
||||
const shippingWhere = whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
|
||||
const shippingQuery = `
|
||||
SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
`;
|
||||
|
||||
const [shippingRows] = await connection.execute(shippingQuery, params);
|
||||
const shipping = shippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Query for shipped orders by employee
|
||||
const shippingByEmployeeQuery = `
|
||||
SELECT
|
||||
e.employeeid,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
JOIN employees e ON o.stats_cid_shipped = e.cid
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
GROUP BY e.employeeid, e.firstname, e.lastname
|
||||
ORDER BY ordersShipped DESC
|
||||
`;
|
||||
|
||||
const [shippingByEmployeeRows] = await connection.execute(shippingByEmployeeQuery, params);
|
||||
const shippingByEmployee = shippingByEmployeeRows.map(row => ({
|
||||
employeeId: row.employeeid,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeid}`,
|
||||
ordersShipped: parseInt(row.ordersShipped || 0),
|
||||
piecesShipped: parseInt(row.piecesShipped || 0),
|
||||
}));
|
||||
|
||||
// Calculate period dates
|
||||
let periodStart, periodEnd;
|
||||
if (dateRange?.start) {
|
||||
periodStart = new Date(dateRange.start);
|
||||
} else if (params[0]) {
|
||||
periodStart = new Date(params[0]);
|
||||
} else {
|
||||
periodStart = new Date();
|
||||
periodStart.setDate(periodStart.getDate() - 30);
|
||||
}
|
||||
|
||||
if (dateRange?.end) {
|
||||
periodEnd = new Date(dateRange.end);
|
||||
} else if (params[1]) {
|
||||
periodEnd = new Date(params[1]);
|
||||
} else {
|
||||
periodEnd = new Date();
|
||||
}
|
||||
|
||||
// Calculate productivity (orders/pieces per picking hour)
|
||||
const ordersPerHour = totalPickingHours > 0 ? totalOrdersPicked / totalPickingHours : 0;
|
||||
const piecesPerHour = totalPickingHours > 0 ? totalPiecesPicked / totalPickingHours : 0;
|
||||
|
||||
// Get daily trend data for picking
|
||||
// Use DATE_FORMAT to get date string in Eastern timezone
|
||||
// Business day starts at 1 AM, so subtract 1 hour before taking the date
|
||||
const pickingTrendWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
const pickingTrendQuery = `
|
||||
SELECT
|
||||
pt_agg.date,
|
||||
COALESCE(order_counts.ordersPicked, 0) as ordersPicked,
|
||||
pt_agg.piecesPicked
|
||||
FROM (
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COALESCE(SUM(pt.totalpieces_picked), 0) as piecesPicked
|
||||
FROM picking_ticket pt
|
||||
WHERE ${pickingTrendWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
) pt_agg
|
||||
LEFT JOIN (
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingTrendWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
) order_counts ON pt_agg.date = order_counts.date
|
||||
ORDER BY pt_agg.date
|
||||
`;
|
||||
|
||||
// Get shipping trend data
|
||||
const shippingTrendWhere = whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
const shippingTrendQuery = `
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(o.date_shipped, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${shippingTrendWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(o.date_shipped, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
ORDER BY date
|
||||
`;
|
||||
|
||||
const [[pickingTrendRows], [shippingTrendRows]] = await Promise.all([
|
||||
connection.execute(pickingTrendQuery, [...params, ...params]),
|
||||
connection.execute(shippingTrendQuery, params),
|
||||
]);
|
||||
|
||||
// Create maps for trend data
|
||||
const pickingByDate = new Map();
|
||||
pickingTrendRows.forEach(row => {
|
||||
const date = String(row.date);
|
||||
pickingByDate.set(date, {
|
||||
ordersPicked: parseInt(row.ordersPicked || 0),
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
});
|
||||
});
|
||||
|
||||
const shippingByDate = new Map();
|
||||
shippingTrendRows.forEach(row => {
|
||||
const date = String(row.date);
|
||||
shippingByDate.set(date, {
|
||||
ordersShipped: parseInt(row.ordersShipped || 0),
|
||||
piecesShipped: parseInt(row.piecesShipped || 0),
|
||||
});
|
||||
});
|
||||
|
||||
// Generate all dates in the period range for complete trend data
|
||||
const allDatesInRange = [];
|
||||
const startDt = DateTime.fromJSDate(periodStart).setZone(TIMEZONE).startOf('day');
|
||||
const endDt = DateTime.fromJSDate(periodEnd).setZone(TIMEZONE).startOf('day');
|
||||
|
||||
let currentDt = startDt;
|
||||
while (currentDt <= endDt) {
|
||||
allDatesInRange.push(currentDt.toFormat('yyyy-MM-dd'));
|
||||
currentDt = currentDt.plus({ days: 1 });
|
||||
}
|
||||
|
||||
// Build trend data for all dates in range
|
||||
const trend = allDatesInRange.map(date => {
|
||||
const picking = pickingByDate.get(date) || { ordersPicked: 0, piecesPicked: 0 };
|
||||
const shippingData = shippingByDate.get(date) || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Parse date string in Eastern timezone to get proper ISO timestamp
|
||||
const dateDt = DateTime.fromFormat(date, 'yyyy-MM-dd', { zone: TIMEZONE });
|
||||
|
||||
return {
|
||||
date,
|
||||
timestamp: dateDt.toISO(),
|
||||
ordersPicked: picking.ordersPicked,
|
||||
piecesPicked: picking.piecesPicked,
|
||||
ordersShipped: shippingData.ordersShipped,
|
||||
piecesShipped: shippingData.piecesShipped,
|
||||
};
|
||||
});
|
||||
|
||||
// Get previous period data for comparison
|
||||
const previousRange = getPreviousPeriodRange(timeRange, startDate, endDate);
|
||||
let comparison = null;
|
||||
let previousTotals = null;
|
||||
|
||||
if (previousRange) {
|
||||
// Previous picking data
|
||||
const prevPickingWhere = previousRange.whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
const [[prevPickingStatsRows], [prevOrderCountRows]] = await Promise.all([
|
||||
connection.execute(
|
||||
`SELECT
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds
|
||||
FROM picking_ticket pt
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
),
|
||||
connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
)
|
||||
]);
|
||||
|
||||
const prevPickingStats = prevPickingStatsRows[0] || { piecesPicked: 0, pickingTimeSeconds: 0 };
|
||||
const prevOrderCount = prevOrderCountRows[0] || { ordersPicked: 0 };
|
||||
const prevPicking = {
|
||||
ordersPicked: parseInt(prevOrderCount.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPickingStats.piecesPicked || 0),
|
||||
pickingTimeSeconds: parseInt(prevPickingStats.pickingTimeSeconds || 0)
|
||||
};
|
||||
const prevPickingHours = prevPicking.pickingTimeSeconds / 3600;
|
||||
|
||||
// Previous shipping data
|
||||
const prevShippingWhere = previousRange.whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
const [prevShippingRows] = await connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${prevShippingWhere}
|
||||
AND o.order_status IN (100, 92)`,
|
||||
previousRange.params
|
||||
);
|
||||
const prevShipping = prevShippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Calculate previous productivity
|
||||
const prevOrdersPerHour = prevPickingHours > 0 ? parseInt(prevPicking.ordersPicked || 0) / prevPickingHours : 0;
|
||||
const prevPiecesPerHour = prevPickingHours > 0 ? parseInt(prevPicking.piecesPicked || 0) / prevPickingHours : 0;
|
||||
|
||||
previousTotals = {
|
||||
ordersPicked: parseInt(prevPicking.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPicking.piecesPicked || 0),
|
||||
pickingHours: prevPickingHours,
|
||||
ordersShipped: parseInt(prevShipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(prevShipping.piecesShipped || 0),
|
||||
ordersPerHour: prevOrdersPerHour,
|
||||
piecesPerHour: prevPiecesPerHour,
|
||||
};
|
||||
|
||||
comparison = {
|
||||
ordersPicked: calculateComparison(totalOrdersPicked, parseInt(prevPicking.ordersPicked || 0)),
|
||||
piecesPicked: calculateComparison(totalPiecesPicked, parseInt(prevPicking.piecesPicked || 0)),
|
||||
ordersShipped: calculateComparison(parseInt(shipping.ordersShipped || 0), parseInt(prevShipping.ordersShipped || 0)),
|
||||
piecesShipped: calculateComparison(parseInt(shipping.piecesShipped || 0), parseInt(prevShipping.piecesShipped || 0)),
|
||||
ordersPerHour: calculateComparison(ordersPerHour, prevOrdersPerHour),
|
||||
piecesPerHour: calculateComparison(piecesPerHour, prevPiecesPerHour),
|
||||
};
|
||||
}
|
||||
|
||||
const response = {
|
||||
dateRange,
|
||||
totals: {
|
||||
// Picking metrics
|
||||
ordersPicked: totalOrdersPicked,
|
||||
piecesPicked: totalPiecesPicked,
|
||||
ticketCount: totalTickets,
|
||||
pickingHours: totalPickingHours,
|
||||
|
||||
// Shipping metrics
|
||||
ordersShipped: parseInt(shipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(shipping.piecesShipped || 0),
|
||||
|
||||
// Productivity metrics
|
||||
ordersPerHour,
|
||||
piecesPerHour,
|
||||
avgPickingSpeed,
|
||||
},
|
||||
previousTotals,
|
||||
comparison,
|
||||
byEmployee: {
|
||||
picking: pickingByEmployee,
|
||||
shipping: shippingByEmployee,
|
||||
},
|
||||
trend,
|
||||
};
|
||||
|
||||
return { response, release };
|
||||
};
|
||||
|
||||
let result;
|
||||
try {
|
||||
result = await Promise.race([mainOperation(), timeoutPromise]);
|
||||
} catch (error) {
|
||||
if (error.message.includes('timeout')) {
|
||||
console.log(`[OPERATIONS-METRICS] Request timed out in ${Date.now() - startTime}ms`);
|
||||
throw error;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
|
||||
const { response, release } = result;
|
||||
|
||||
if (release) release();
|
||||
|
||||
console.log(`[OPERATIONS-METRICS] Request completed in ${Date.now() - startTime}ms`);
|
||||
res.json(response);
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error in /operations-metrics:', error);
|
||||
console.log(`[OPERATIONS-METRICS] Request failed in ${Date.now() - startTime}ms`);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Health check
|
||||
router.get('/health', async (req, res) => {
|
||||
try {
|
||||
const { connection, release } = await getDbConnection();
|
||||
await connection.execute('SELECT 1 as test');
|
||||
release();
|
||||
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
pool: getPoolStatus(),
|
||||
});
|
||||
} catch (error) {
|
||||
res.status(500).json({
|
||||
status: 'unhealthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
error: error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Helper functions
|
||||
function calculateComparison(currentValue, previousValue) {
|
||||
if (typeof previousValue !== 'number') {
|
||||
return { absolute: null, percentage: null };
|
||||
}
|
||||
|
||||
const absolute = typeof currentValue === 'number' ? currentValue - previousValue : null;
|
||||
const percentage =
|
||||
absolute !== null && previousValue !== 0
|
||||
? (absolute / Math.abs(previousValue)) * 100
|
||||
: null;
|
||||
|
||||
return { absolute, percentage };
|
||||
}
|
||||
|
||||
function getPreviousPeriodRange(timeRange, startDate, endDate) {
|
||||
if (timeRange && timeRange !== 'custom') {
|
||||
const prevTimeRange = getPreviousTimeRange(timeRange);
|
||||
if (!prevTimeRange || prevTimeRange === timeRange) {
|
||||
return null;
|
||||
}
|
||||
return getTimeRangeConditions(prevTimeRange);
|
||||
}
|
||||
|
||||
const hasCustomDates = (timeRange === 'custom' || !timeRange) && startDate && endDate;
|
||||
if (!hasCustomDates) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const start = new Date(startDate);
|
||||
const end = new Date(endDate);
|
||||
|
||||
if (Number.isNaN(start.getTime()) || Number.isNaN(end.getTime())) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const duration = end.getTime() - start.getTime();
|
||||
if (!Number.isFinite(duration) || duration <= 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const prevEnd = new Date(start.getTime() - 1);
|
||||
const prevStart = new Date(prevEnd.getTime() - duration);
|
||||
|
||||
return getTimeRangeConditions('custom', prevStart.toISOString(), prevEnd.toISOString());
|
||||
}
|
||||
|
||||
function getPreviousTimeRange(timeRange) {
|
||||
const map = {
|
||||
today: 'yesterday',
|
||||
thisWeek: 'lastWeek',
|
||||
thisMonth: 'lastMonth',
|
||||
last7days: 'previous7days',
|
||||
last30days: 'previous30days',
|
||||
last90days: 'previous90days',
|
||||
yesterday: 'twoDaysAgo'
|
||||
};
|
||||
return map[timeRange] || timeRange;
|
||||
}
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,505 +0,0 @@
|
||||
const express = require('express');
|
||||
const { DateTime } = require('luxon');
|
||||
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getPoolStatus } = require('../db/connection');
|
||||
|
||||
const TIMEZONE = 'America/New_York';
|
||||
|
||||
// Punch types from the database
|
||||
const PUNCH_TYPES = {
|
||||
OUT: 0,
|
||||
IN: 1,
|
||||
BREAK_START: 2,
|
||||
BREAK_END: 3,
|
||||
};
|
||||
|
||||
// Standard hours for overtime calculation (40 hours per week)
|
||||
const STANDARD_WEEKLY_HOURS = 40;
|
||||
|
||||
// Reference pay period start date (January 25, 2026 is a Sunday, first day of a pay period)
|
||||
const PAY_PERIOD_REFERENCE = DateTime.fromObject(
|
||||
{ year: 2026, month: 1, day: 25 },
|
||||
{ zone: TIMEZONE }
|
||||
);
|
||||
|
||||
/**
|
||||
* Calculate the pay period that contains a given date
|
||||
* Pay periods are 14 days starting on Sunday
|
||||
* @param {DateTime} date - The date to find the pay period for
|
||||
* @returns {{ start: DateTime, end: DateTime, week1: { start: DateTime, end: DateTime }, week2: { start: DateTime, end: DateTime } }}
|
||||
*/
|
||||
function getPayPeriodForDate(date) {
|
||||
const dt = DateTime.isDateTime(date) ? date : DateTime.fromJSDate(date, { zone: TIMEZONE });
|
||||
|
||||
// Calculate days since reference
|
||||
const daysSinceReference = Math.floor(dt.diff(PAY_PERIOD_REFERENCE, 'days').days);
|
||||
|
||||
// Find which pay period this falls into (can be negative for dates before reference)
|
||||
const payPeriodIndex = Math.floor(daysSinceReference / 14);
|
||||
|
||||
// Calculate the start of this pay period
|
||||
const start = PAY_PERIOD_REFERENCE.plus({ days: payPeriodIndex * 14 }).startOf('day');
|
||||
const end = start.plus({ days: 13 }).endOf('day');
|
||||
|
||||
// Week 1: Sunday through Saturday
|
||||
const week1Start = start;
|
||||
const week1End = start.plus({ days: 6 }).endOf('day');
|
||||
|
||||
// Week 2: Sunday through Saturday
|
||||
const week2Start = start.plus({ days: 7 }).startOf('day');
|
||||
const week2End = end;
|
||||
|
||||
return {
|
||||
start,
|
||||
end,
|
||||
week1: { start: week1Start, end: week1End },
|
||||
week2: { start: week2Start, end: week2End },
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the current pay period
|
||||
*/
|
||||
function getCurrentPayPeriod() {
|
||||
return getPayPeriodForDate(DateTime.now().setZone(TIMEZONE));
|
||||
}
|
||||
|
||||
/**
|
||||
* Navigate to previous or next pay period
|
||||
* @param {DateTime} currentStart - Current pay period start
|
||||
* @param {number} offset - Number of pay periods to move (negative for previous)
|
||||
*/
|
||||
function navigatePayPeriod(currentStart, offset) {
|
||||
const newStart = currentStart.plus({ days: offset * 14 });
|
||||
return getPayPeriodForDate(newStart);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate working hours from timeclock entries, broken down by week
|
||||
* @param {Array} punches - Timeclock punch entries
|
||||
* @param {Object} payPeriod - Pay period with week boundaries
|
||||
*/
|
||||
function calculateHoursByWeek(punches, payPeriod) {
|
||||
// Group by employee
|
||||
const byEmployee = new Map();
|
||||
|
||||
punches.forEach(punch => {
|
||||
if (!byEmployee.has(punch.EmployeeID)) {
|
||||
byEmployee.set(punch.EmployeeID, {
|
||||
employeeId: punch.EmployeeID,
|
||||
firstname: punch.firstname || '',
|
||||
lastname: punch.lastname || '',
|
||||
punches: [],
|
||||
});
|
||||
}
|
||||
byEmployee.get(punch.EmployeeID).punches.push(punch);
|
||||
});
|
||||
|
||||
const employeeResults = [];
|
||||
let totalHours = 0;
|
||||
let totalBreakHours = 0;
|
||||
let totalOvertimeHours = 0;
|
||||
let totalRegularHours = 0;
|
||||
let week1TotalHours = 0;
|
||||
let week1TotalOvertime = 0;
|
||||
let week2TotalHours = 0;
|
||||
let week2TotalOvertime = 0;
|
||||
|
||||
byEmployee.forEach((employeeData) => {
|
||||
// Sort punches by timestamp
|
||||
employeeData.punches.sort((a, b) => new Date(a.TimeStamp) - new Date(b.TimeStamp));
|
||||
|
||||
// Calculate hours for each week
|
||||
const week1Punches = employeeData.punches.filter(p => {
|
||||
const dt = DateTime.fromJSDate(new Date(p.TimeStamp), { zone: TIMEZONE });
|
||||
return dt >= payPeriod.week1.start && dt <= payPeriod.week1.end;
|
||||
});
|
||||
|
||||
const week2Punches = employeeData.punches.filter(p => {
|
||||
const dt = DateTime.fromJSDate(new Date(p.TimeStamp), { zone: TIMEZONE });
|
||||
return dt >= payPeriod.week2.start && dt <= payPeriod.week2.end;
|
||||
});
|
||||
|
||||
const week1Hours = calculateHoursFromPunches(week1Punches);
|
||||
const week2Hours = calculateHoursFromPunches(week2Punches);
|
||||
|
||||
// Calculate overtime per week (anything over 40 hours)
|
||||
const week1Overtime = Math.max(0, week1Hours.hours - STANDARD_WEEKLY_HOURS);
|
||||
const week2Overtime = Math.max(0, week2Hours.hours - STANDARD_WEEKLY_HOURS);
|
||||
const week1Regular = week1Hours.hours - week1Overtime;
|
||||
const week2Regular = week2Hours.hours - week2Overtime;
|
||||
|
||||
const employeeTotal = week1Hours.hours + week2Hours.hours;
|
||||
const employeeBreaks = week1Hours.breakHours + week2Hours.breakHours;
|
||||
const employeeOvertime = week1Overtime + week2Overtime;
|
||||
const employeeRegular = employeeTotal - employeeOvertime;
|
||||
|
||||
totalHours += employeeTotal;
|
||||
totalBreakHours += employeeBreaks;
|
||||
totalOvertimeHours += employeeOvertime;
|
||||
totalRegularHours += employeeRegular;
|
||||
week1TotalHours += week1Hours.hours;
|
||||
week1TotalOvertime += week1Overtime;
|
||||
week2TotalHours += week2Hours.hours;
|
||||
week2TotalOvertime += week2Overtime;
|
||||
|
||||
employeeResults.push({
|
||||
employeeId: employeeData.employeeId,
|
||||
name: `${employeeData.firstname} ${employeeData.lastname}`.trim() || `Employee ${employeeData.employeeId}`,
|
||||
week1Hours: week1Hours.hours,
|
||||
week1BreakHours: week1Hours.breakHours,
|
||||
week1Overtime,
|
||||
week1Regular,
|
||||
week2Hours: week2Hours.hours,
|
||||
week2BreakHours: week2Hours.breakHours,
|
||||
week2Overtime,
|
||||
week2Regular,
|
||||
totalHours: employeeTotal,
|
||||
totalBreakHours: employeeBreaks,
|
||||
overtimeHours: employeeOvertime,
|
||||
regularHours: employeeRegular,
|
||||
});
|
||||
});
|
||||
|
||||
// Sort by total hours descending
|
||||
employeeResults.sort((a, b) => b.totalHours - a.totalHours);
|
||||
|
||||
return {
|
||||
byEmployee: employeeResults,
|
||||
totals: {
|
||||
hours: totalHours,
|
||||
breakHours: totalBreakHours,
|
||||
overtimeHours: totalOvertimeHours,
|
||||
regularHours: totalRegularHours,
|
||||
activeEmployees: employeeResults.filter(e => e.totalHours > 0).length,
|
||||
},
|
||||
byWeek: [
|
||||
{
|
||||
week: 1,
|
||||
start: payPeriod.week1.start.toISODate(),
|
||||
end: payPeriod.week1.end.toISODate(),
|
||||
hours: week1TotalHours,
|
||||
overtime: week1TotalOvertime,
|
||||
regular: week1TotalHours - week1TotalOvertime,
|
||||
},
|
||||
{
|
||||
week: 2,
|
||||
start: payPeriod.week2.start.toISODate(),
|
||||
end: payPeriod.week2.end.toISODate(),
|
||||
hours: week2TotalHours,
|
||||
overtime: week2TotalOvertime,
|
||||
regular: week2TotalHours - week2TotalOvertime,
|
||||
},
|
||||
],
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate hours from a set of punches
|
||||
*/
|
||||
function calculateHoursFromPunches(punches) {
|
||||
let hours = 0;
|
||||
let breakHours = 0;
|
||||
let currentIn = null;
|
||||
let breakStart = null;
|
||||
|
||||
punches.forEach(punch => {
|
||||
const punchTime = new Date(punch.TimeStamp);
|
||||
|
||||
switch (punch.PunchType) {
|
||||
case PUNCH_TYPES.IN:
|
||||
currentIn = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.OUT:
|
||||
if (currentIn) {
|
||||
hours += (punchTime - currentIn) / (1000 * 60 * 60);
|
||||
currentIn = null;
|
||||
}
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_START:
|
||||
breakStart = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_END:
|
||||
if (breakStart) {
|
||||
breakHours += (punchTime - breakStart) / (1000 * 60 * 60);
|
||||
breakStart = null;
|
||||
}
|
||||
break;
|
||||
}
|
||||
});
|
||||
|
||||
return { hours, breakHours };
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate FTE for a pay period (based on 80 hours = 1 FTE for 2-week period)
|
||||
* @param {number} totalHours - Total hours worked
|
||||
* @param {number} elapsedFraction - Fraction of the period elapsed (0-1). Defaults to 1 for complete periods.
|
||||
*/
|
||||
function calculateFTE(totalHours, elapsedFraction = 1) {
|
||||
const fullTimePeriodHours = STANDARD_WEEKLY_HOURS * 2; // 80 hours for 2 weeks
|
||||
const proratedHours = fullTimePeriodHours * elapsedFraction;
|
||||
return proratedHours > 0 ? totalHours / proratedHours : 0;
|
||||
}
|
||||
|
||||
// Main payroll metrics endpoint
|
||||
router.get('/', async (req, res) => {
|
||||
const startTime = Date.now();
|
||||
console.log(`[PAYROLL-METRICS] Starting request`);
|
||||
|
||||
const timeoutPromise = new Promise((_, reject) => {
|
||||
setTimeout(() => reject(new Error('Request timeout after 30 seconds')), 30000);
|
||||
});
|
||||
|
||||
try {
|
||||
const mainOperation = async () => {
|
||||
const { payPeriodStart, navigate } = req.query;
|
||||
|
||||
let payPeriod;
|
||||
|
||||
if (payPeriodStart) {
|
||||
// Parse the provided start date
|
||||
const startDate = DateTime.fromISO(payPeriodStart, { zone: TIMEZONE });
|
||||
if (!startDate.isValid) {
|
||||
return res.status(400).json({ error: 'Invalid payPeriodStart date format' });
|
||||
}
|
||||
payPeriod = getPayPeriodForDate(startDate);
|
||||
} else {
|
||||
// Default to current pay period
|
||||
payPeriod = getCurrentPayPeriod();
|
||||
}
|
||||
|
||||
// Handle navigation if requested
|
||||
if (navigate) {
|
||||
const offset = parseInt(navigate, 10);
|
||||
if (!isNaN(offset)) {
|
||||
payPeriod = navigatePayPeriod(payPeriod.start, offset);
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`[PAYROLL-METRICS] Getting DB connection...`);
|
||||
const { connection, release } = await getDbConnection();
|
||||
console.log(`[PAYROLL-METRICS] DB connection obtained in ${Date.now() - startTime}ms`);
|
||||
|
||||
// Build query for the pay period
|
||||
const periodStart = payPeriod.start.toJSDate();
|
||||
const periodEnd = payPeriod.end.toJSDate();
|
||||
|
||||
const timeclockQuery = `
|
||||
SELECT
|
||||
tc.EmployeeID,
|
||||
tc.TimeStamp,
|
||||
tc.PunchType,
|
||||
e.firstname,
|
||||
e.lastname
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE tc.TimeStamp >= ? AND tc.TimeStamp <= ?
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY tc.EmployeeID, tc.TimeStamp
|
||||
`;
|
||||
|
||||
const [timeclockRows] = await connection.execute(timeclockQuery, [periodStart, periodEnd]);
|
||||
|
||||
// Calculate hours with week breakdown
|
||||
const hoursData = calculateHoursByWeek(timeclockRows, payPeriod);
|
||||
|
||||
// Calculate FTE — prorate for in-progress periods so the value reflects
|
||||
// the pace employees are on rather than raw hours / 80
|
||||
let elapsedFraction = 1;
|
||||
if (isCurrentPayPeriod(payPeriod)) {
|
||||
const now = DateTime.now().setZone(TIMEZONE);
|
||||
const elapsedDays = Math.max(1, Math.ceil(now.diff(payPeriod.start, 'days').days));
|
||||
elapsedFraction = Math.min(1, elapsedDays / 14);
|
||||
}
|
||||
const fte = calculateFTE(hoursData.totals.hours, elapsedFraction);
|
||||
const activeEmployees = hoursData.totals.activeEmployees;
|
||||
const avgHoursPerEmployee = activeEmployees > 0 ? hoursData.totals.hours / activeEmployees : 0;
|
||||
|
||||
// Get previous pay period data for comparison
|
||||
const prevPayPeriod = navigatePayPeriod(payPeriod.start, -1);
|
||||
const [prevTimeclockRows] = await connection.execute(timeclockQuery, [
|
||||
prevPayPeriod.start.toJSDate(),
|
||||
prevPayPeriod.end.toJSDate(),
|
||||
]);
|
||||
|
||||
const prevHoursData = calculateHoursByWeek(prevTimeclockRows, prevPayPeriod);
|
||||
const prevFte = calculateFTE(prevHoursData.totals.hours);
|
||||
|
||||
// Calculate comparisons
|
||||
const comparison = {
|
||||
hours: calculateComparison(hoursData.totals.hours, prevHoursData.totals.hours),
|
||||
overtimeHours: calculateComparison(hoursData.totals.overtimeHours, prevHoursData.totals.overtimeHours),
|
||||
fte: calculateComparison(fte, prevFte),
|
||||
activeEmployees: calculateComparison(hoursData.totals.activeEmployees, prevHoursData.totals.activeEmployees),
|
||||
};
|
||||
|
||||
const response = {
|
||||
payPeriod: {
|
||||
start: payPeriod.start.toISODate(),
|
||||
end: payPeriod.end.toISODate(),
|
||||
label: formatPayPeriodLabel(payPeriod),
|
||||
week1: {
|
||||
start: payPeriod.week1.start.toISODate(),
|
||||
end: payPeriod.week1.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week1),
|
||||
},
|
||||
week2: {
|
||||
start: payPeriod.week2.start.toISODate(),
|
||||
end: payPeriod.week2.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week2),
|
||||
},
|
||||
isCurrent: isCurrentPayPeriod(payPeriod),
|
||||
},
|
||||
totals: {
|
||||
hours: hoursData.totals.hours,
|
||||
breakHours: hoursData.totals.breakHours,
|
||||
overtimeHours: hoursData.totals.overtimeHours,
|
||||
regularHours: hoursData.totals.regularHours,
|
||||
activeEmployees,
|
||||
fte,
|
||||
avgHoursPerEmployee,
|
||||
},
|
||||
previousTotals: {
|
||||
hours: prevHoursData.totals.hours,
|
||||
overtimeHours: prevHoursData.totals.overtimeHours,
|
||||
activeEmployees: prevHoursData.totals.activeEmployees,
|
||||
fte: prevFte,
|
||||
},
|
||||
comparison,
|
||||
byEmployee: hoursData.byEmployee,
|
||||
byWeek: hoursData.byWeek,
|
||||
};
|
||||
|
||||
return { response, release };
|
||||
};
|
||||
|
||||
let result;
|
||||
try {
|
||||
result = await Promise.race([mainOperation(), timeoutPromise]);
|
||||
} catch (error) {
|
||||
if (error.message.includes('timeout')) {
|
||||
console.log(`[PAYROLL-METRICS] Request timed out in ${Date.now() - startTime}ms`);
|
||||
throw error;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
|
||||
const { response, release } = result;
|
||||
|
||||
if (release) release();
|
||||
|
||||
console.log(`[PAYROLL-METRICS] Request completed in ${Date.now() - startTime}ms`);
|
||||
res.json(response);
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error in /payroll-metrics:', error);
|
||||
console.log(`[PAYROLL-METRICS] Request failed in ${Date.now() - startTime}ms`);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Get pay period info endpoint (for navigation without full data)
|
||||
router.get('/period-info', async (req, res) => {
|
||||
try {
|
||||
const { payPeriodStart, navigate } = req.query;
|
||||
|
||||
let payPeriod;
|
||||
|
||||
if (payPeriodStart) {
|
||||
const startDate = DateTime.fromISO(payPeriodStart, { zone: TIMEZONE });
|
||||
if (!startDate.isValid) {
|
||||
return res.status(400).json({ error: 'Invalid payPeriodStart date format' });
|
||||
}
|
||||
payPeriod = getPayPeriodForDate(startDate);
|
||||
} else {
|
||||
payPeriod = getCurrentPayPeriod();
|
||||
}
|
||||
|
||||
if (navigate) {
|
||||
const offset = parseInt(navigate, 10);
|
||||
if (!isNaN(offset)) {
|
||||
payPeriod = navigatePayPeriod(payPeriod.start, offset);
|
||||
}
|
||||
}
|
||||
|
||||
res.json({
|
||||
payPeriod: {
|
||||
start: payPeriod.start.toISODate(),
|
||||
end: payPeriod.end.toISODate(),
|
||||
label: formatPayPeriodLabel(payPeriod),
|
||||
week1: {
|
||||
start: payPeriod.week1.start.toISODate(),
|
||||
end: payPeriod.week1.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week1),
|
||||
},
|
||||
week2: {
|
||||
start: payPeriod.week2.start.toISODate(),
|
||||
end: payPeriod.week2.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week2),
|
||||
},
|
||||
isCurrent: isCurrentPayPeriod(payPeriod),
|
||||
},
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error in /payroll-metrics/period-info:', error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Health check
|
||||
router.get('/health', async (req, res) => {
|
||||
try {
|
||||
const { connection, release } = await getDbConnection();
|
||||
await connection.execute('SELECT 1 as test');
|
||||
release();
|
||||
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
pool: getPoolStatus(),
|
||||
});
|
||||
} catch (error) {
|
||||
res.status(500).json({
|
||||
status: 'unhealthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
error: error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Helper functions
|
||||
function calculateComparison(currentValue, previousValue) {
|
||||
if (typeof previousValue !== 'number') {
|
||||
return { absolute: null, percentage: null };
|
||||
}
|
||||
|
||||
const absolute = typeof currentValue === 'number' ? currentValue - previousValue : null;
|
||||
const percentage =
|
||||
absolute !== null && previousValue !== 0
|
||||
? (absolute / Math.abs(previousValue)) * 100
|
||||
: null;
|
||||
|
||||
return { absolute, percentage };
|
||||
}
|
||||
|
||||
function formatPayPeriodLabel(payPeriod) {
|
||||
const startStr = payPeriod.start.toFormat('MMM d');
|
||||
const endStr = payPeriod.end.toFormat('MMM d, yyyy');
|
||||
return `${startStr} – ${endStr}`;
|
||||
}
|
||||
|
||||
function formatWeekLabel(week) {
|
||||
const startStr = week.start.toFormat('MMM d');
|
||||
const endStr = week.end.toFormat('MMM d');
|
||||
return `${startStr} – ${endStr}`;
|
||||
}
|
||||
|
||||
function isCurrentPayPeriod(payPeriod) {
|
||||
const now = DateTime.now().setZone(TIMEZONE);
|
||||
return now >= payPeriod.start && now <= payPeriod.end;
|
||||
}
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,57 +0,0 @@
|
||||
const express = require('express');
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getCachedQuery } = require('../db/connection');
|
||||
|
||||
// Test endpoint to count orders
|
||||
router.get('/order-count', async (req, res) => {
|
||||
try {
|
||||
const { connection } = await getDbConnection();
|
||||
|
||||
// Simple query to count orders from _order table
|
||||
const queryFn = async () => {
|
||||
const [rows] = await connection.execute('SELECT COUNT(*) as count FROM _order');
|
||||
return rows[0].count;
|
||||
};
|
||||
|
||||
const cacheKey = 'order-count';
|
||||
const count = await getCachedQuery(cacheKey, 'default', queryFn);
|
||||
|
||||
res.json({
|
||||
success: true,
|
||||
data: {
|
||||
orderCount: count,
|
||||
timestamp: new Date().toISOString()
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error fetching order count:', error);
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Test connection endpoint
|
||||
router.get('/test-connection', async (req, res) => {
|
||||
try {
|
||||
const { connection } = await getDbConnection();
|
||||
|
||||
// Test the connection with a simple query
|
||||
const [rows] = await connection.execute('SELECT 1 as test');
|
||||
|
||||
res.json({
|
||||
success: true,
|
||||
message: 'Database connection successful',
|
||||
data: rows[0]
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error testing connection:', error);
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
Reference in New Issue
Block a user