60 lines
2.0 KiB
JavaScript
60 lines
2.0 KiB
JavaScript
const express = require('express');
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const router = express.Router();
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// Get key metrics trends (revenue, inventory value, GMROI)
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router.get('/trends', async (req, res) => {
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const pool = req.app.locals.pool;
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try {
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const [rows] = await pool.query(`
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WITH MonthlyMetrics AS (
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SELECT
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DATE(CONCAT(pta.year, '-', LPAD(pta.month, 2, '0'), '-01')) as date,
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CAST(COALESCE(SUM(pta.total_revenue), 0) AS DECIMAL(15,3)) as revenue,
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CAST(COALESCE(SUM(pta.total_cost), 0) AS DECIMAL(15,3)) as cost,
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CAST(COALESCE(SUM(pm.inventory_value), 0) AS DECIMAL(15,3)) as inventory_value,
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CASE
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WHEN SUM(pm.inventory_value) > 0
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THEN CAST((SUM(pta.total_revenue - pta.total_cost) / SUM(pm.inventory_value)) * 100 AS DECIMAL(15,3))
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ELSE 0
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END as gmroi
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FROM product_time_aggregates pta
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JOIN product_metrics pm ON pta.pid = pm.pid
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WHERE (pta.year * 100 + pta.month) >= DATE_FORMAT(DATE_SUB(CURDATE(), INTERVAL 12 MONTH), '%Y%m')
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GROUP BY pta.year, pta.month
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ORDER BY date ASC
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)
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SELECT
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DATE_FORMAT(date, '%b %y') as date,
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revenue,
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inventory_value,
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gmroi
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FROM MonthlyMetrics
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`);
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console.log('Raw metrics trends data:', rows);
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// Transform the data into the format expected by the frontend
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const transformedData = {
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revenue: rows.map(row => ({
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date: row.date,
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value: parseFloat(row.revenue)
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})),
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inventory_value: rows.map(row => ({
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date: row.date,
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value: parseFloat(row.inventory_value)
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})),
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gmroi: rows.map(row => ({
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date: row.date,
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value: parseFloat(row.gmroi)
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}))
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};
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console.log('Transformed metrics data:', transformedData);
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res.json(transformedData);
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} catch (error) {
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console.error('Error fetching metrics trends:', error);
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res.status(500).json({ error: 'Failed to fetch metrics trends' });
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}
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});
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module.exports = router;
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