Split up calculate script into useable pieces

inventory-server/scripts/metrics/financial/financial-metrics.js

@@ -0,0 +1,81 @@
+const { outputProgress } = require('../utils/progress');
+const { getConnection } = require('../utils/db');
+
+async function calculateFinancialMetrics(startTime, totalProducts, processedCount) {
+    const connection = await getConnection();
+    try {
+        outputProgress({
+            status: 'running',
+            operation: 'Calculating financial metrics',
+            current: Math.floor(totalProducts * 0.6),
+            total: totalProducts,
+            elapsed: formatElapsedTime(startTime),
+            remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.6), totalProducts),
+            rate: calculateRate(startTime, Math.floor(totalProducts * 0.6)),
+            percentage: '60'
+        });
+
+        await connection.query(`
+            UPDATE product_metrics pm
+            JOIN (
+                SELECT 
+                    p.product_id,
+                    p.cost_price * p.stock_quantity as inventory_value,
+                    SUM(o.quantity * o.price) as total_revenue,
+                    SUM(o.quantity * p.cost_price) as cost_of_goods_sold,
+                    SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
+                    MIN(o.date) as first_sale_date,
+                    MAX(o.date) as last_sale_date,
+                    DATEDIFF(MAX(o.date), MIN(o.date)) + 1 as calculation_period_days
+                FROM products p
+                LEFT JOIN orders o ON p.product_id = o.product_id
+                WHERE o.canceled = false
+                    AND DATE(o.date) >= DATE_SUB(CURDATE(), INTERVAL 12 MONTH)
+                GROUP BY p.product_id
+            ) fin ON pm.product_id = fin.product_id
+            SET 
+                pm.inventory_value = COALESCE(fin.inventory_value, 0),
+                pm.total_revenue = COALESCE(fin.total_revenue, 0),
+                pm.cost_of_goods_sold = COALESCE(fin.cost_of_goods_sold, 0),
+                pm.gross_profit = COALESCE(fin.gross_profit, 0),
+                pm.gmroi = CASE 
+                    WHEN COALESCE(fin.inventory_value, 0) > 0 AND fin.calculation_period_days > 0 THEN 
+                        (COALESCE(fin.gross_profit, 0) * (365.0 / fin.calculation_period_days)) / COALESCE(fin.inventory_value, 0)
+                    ELSE 0 
+                END
+        `);
+
+        // Update time-based aggregates with financial metrics
+        await connection.query(`
+            UPDATE product_time_aggregates pta
+            JOIN (
+                SELECT 
+                    p.product_id,
+                    YEAR(o.date) as year,
+                    MONTH(o.date) as month,
+                    p.cost_price * p.stock_quantity as inventory_value,
+                    SUM(o.quantity * (o.price - p.cost_price)) as gross_profit,
+                    COUNT(DISTINCT DATE(o.date)) as days_in_period
+                FROM products p
+                LEFT JOIN orders o ON p.product_id = o.product_id
+                WHERE o.canceled = false
+                GROUP BY p.product_id, YEAR(o.date), MONTH(o.date)
+            ) fin ON pta.product_id = fin.product_id 
+                AND pta.year = fin.year 
+                AND pta.month = fin.month
+            SET 
+                pta.inventory_value = COALESCE(fin.inventory_value, 0),
+                pta.gmroi = CASE 
+                    WHEN COALESCE(fin.inventory_value, 0) > 0 AND fin.days_in_period > 0 THEN 
+                        (COALESCE(fin.gross_profit, 0) * (365.0 / fin.days_in_period)) / COALESCE(fin.inventory_value, 0)
+                    ELSE 0 
+                END
+        `);
+
+        return Math.floor(totalProducts * 0.7);
+    } finally {
+        connection.release();
+    }
+}
+
+module.exports = calculateFinancialMetrics;