Flatten calculate file structure a bit

inventory-server/scripts/metrics/time-aggregates.js

@@ -0,0 +1,133 @@
+const { getConnection } = require('./db');
+
+async function calculateTimeAggregates(startTime, totalProducts, processedCount) {
+    const connection = await getConnection();
+    try {
+        // Initial insert of time-based aggregates
+        await connection.query(`
+            INSERT INTO product_time_aggregates (
+                product_id,
+                year,
+                month,
+                total_quantity_sold,
+                total_revenue,
+                total_cost,
+                order_count,
+                stock_received,
+                stock_ordered,
+                avg_price,
+                profit_margin
+            )
+            WITH sales_data AS (
+                SELECT 
+                    o.product_id,
+                    YEAR(o.date) as year,
+                    MONTH(o.date) as month,
+                    SUM(o.quantity) as total_quantity_sold,
+                    SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) as total_revenue,
+                    SUM(COALESCE(p.cost_price, 0) * o.quantity) as total_cost,
+                    COUNT(DISTINCT o.order_number) as order_count,
+                    AVG(o.price - COALESCE(o.discount, 0)) as avg_price,
+                    CASE 
+                        WHEN SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) = 0 THEN 0
+                        ELSE ((SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) - 
+                              SUM(COALESCE(p.cost_price, 0) * o.quantity)) / 
+                              SUM((o.price - COALESCE(o.discount, 0)) * o.quantity)) * 100
+                    END as profit_margin
+                FROM orders o
+                JOIN products p ON o.product_id = p.product_id
+                WHERE o.canceled = 0
+                GROUP BY o.product_id, YEAR(o.date), MONTH(o.date)
+            ),
+            purchase_data AS (
+                SELECT 
+                    product_id,
+                    YEAR(date) as year,
+                    MONTH(date) as month,
+                    SUM(received) as stock_received,
+                    SUM(ordered) as stock_ordered
+                FROM purchase_orders
+                WHERE status = 'closed'
+                GROUP BY product_id, YEAR(date), MONTH(date)
+            )
+            SELECT 
+                s.product_id,
+                s.year,
+                s.month,
+                s.total_quantity_sold,
+                s.total_revenue,
+                s.total_cost,
+                s.order_count,
+                COALESCE(p.stock_received, 0) as stock_received,
+                COALESCE(p.stock_ordered, 0) as stock_ordered,
+                s.avg_price,
+                s.profit_margin
+            FROM sales_data s
+            LEFT JOIN purchase_data p 
+                ON s.product_id = p.product_id 
+                AND s.year = p.year 
+                AND s.month = p.month
+            UNION
+            SELECT 
+                p.product_id,
+                p.year,
+                p.month,
+                0 as total_quantity_sold,
+                0 as total_revenue,
+                0 as total_cost,
+                0 as order_count,
+                p.stock_received,
+                p.stock_ordered,
+                0 as avg_price,
+                0 as profit_margin
+            FROM purchase_data p
+            LEFT JOIN sales_data s
+                ON p.product_id = s.product_id 
+                AND p.year = s.year 
+                AND p.month = s.month
+            WHERE s.product_id IS NULL
+            ON DUPLICATE KEY UPDATE
+                total_quantity_sold = VALUES(total_quantity_sold),
+                total_revenue = VALUES(total_revenue),
+                total_cost = VALUES(total_cost),
+                order_count = VALUES(order_count),
+                stock_received = VALUES(stock_received),
+                stock_ordered = VALUES(stock_ordered),
+                avg_price = VALUES(avg_price),
+                profit_margin = VALUES(profit_margin)
+        `);
+
+        // Update 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 * 0.65);
+    } finally {
+        connection.release();
+    }
+}
+
+module.exports = calculateTimeAggregates;