Clean up routes

inventory-server/src/routes/analytics.js

@@ -612,99 +612,4 @@ router.get('/categories', async (req, res) => {
   }
 });
 
-// Forecast endpoint
-router.get('/forecast', async (req, res) => {
-  try {
-    const { brand, startDate, endDate } = req.query;
-    const pool = req.app.locals.pool;
-
-    const [results] = await pool.query(`
-      WITH RECURSIVE category_path AS (
-        SELECT 
-          c.cat_id,
-          c.name,
-          c.parent_id,
-          CAST(c.name AS CHAR(1000)) as path
-        FROM categories c
-        WHERE c.parent_id IS NULL
-        
-        UNION ALL
-        
-        SELECT 
-          c.cat_id,
-          c.name,
-          c.parent_id,
-          CONCAT(cp.path, ' > ', c.name)
-        FROM categories c
-        JOIN category_path cp ON c.parent_id = cp.cat_id
-      ),
-      category_metrics AS (
-        SELECT 
-          c.cat_id,
-          c.name as category_name,
-          cp.path,
-          p.brand,
-          COUNT(DISTINCT p.pid) as num_products,
-          CAST(COALESCE(ROUND(SUM(o.quantity) / DATEDIFF(?, ?), 2), 0) AS DECIMAL(15,3)) as avg_daily_sales,
-          COALESCE(SUM(o.quantity), 0) as total_sold,
-          CAST(COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.pid), 2), 0) AS DECIMAL(15,3)) as avgTotalSold,
-          CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
-        FROM categories c
-        JOIN product_categories pc ON c.cat_id = pc.cat_id
-        JOIN products p ON pc.pid = p.pid
-        JOIN category_path cp ON c.cat_id = cp.cat_id
-        LEFT JOIN product_metrics pmet ON p.pid = pmet.pid
-        LEFT JOIN orders o ON p.pid = o.pid 
-          AND o.date BETWEEN ? AND ?
-          AND o.canceled = false
-        WHERE p.brand = ?
-          AND pmet.first_received_date BETWEEN ? AND ?
-        GROUP BY c.cat_id, c.name, cp.path, p.brand
-      ),
-      product_details AS (
-        SELECT 
-          p.pid,
-          p.title,
-          p.SKU,
-          p.stock_quantity,
-          pc.cat_id,
-          pmet.first_received_date,
-          COALESCE(SUM(o.quantity), 0) as total_sold,
-          CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
-        FROM products p
-        JOIN product_categories pc ON p.pid = pc.pid
-        JOIN product_metrics pmet ON p.pid = pmet.pid
-        LEFT JOIN orders o ON p.pid = o.pid 
-          AND o.date BETWEEN ? AND ?
-          AND o.canceled = false
-        WHERE p.brand = ?
-          AND pmet.first_received_date BETWEEN ? AND ?
-        GROUP BY p.pid, p.title, p.SKU, p.stock_quantity, pc.cat_id, pmet.first_received_date
-      )
-      SELECT 
-        cm.*,
-        JSON_ARRAYAGG(
-          JSON_OBJECT(
-            'pid', pd.pid,
-            'title', pd.title,
-            'SKU', pd.SKU,
-            'stock_quantity', pd.stock_quantity,
-            'total_sold', pd.total_sold,
-            'avg_price', pd.avg_price,
-            'first_received_date', DATE_FORMAT(pd.first_received_date, '%Y-%m-%d')
-          )
-        ) as products
-      FROM category_metrics cm
-      JOIN product_details pd ON cm.cat_id = pd.cat_id
-      GROUP BY cm.cat_id, cm.category_name, cm.path, cm.brand, cm.num_products, cm.avg_daily_sales, cm.total_sold, cm.avgTotalSold, cm.avg_price
-      ORDER BY cm.total_sold DESC
-    `, [endDate, startDate, startDate, endDate, brand, startDate, endDate, startDate, endDate, brand, startDate, endDate]);
-
-    res.json(results);
-  } catch (error) {
-    console.error('Error fetching forecast data:', error);
-    res.status(500).json({ error: 'Failed to fetch forecast data' });
-  }
-});
-
 module.exports = router;