inventory/inventory-server/src/routes/dashboard.js

const express = require('express');
const router = express.Router();

// Get dashboard stats
router.get('/stats', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    const [stats] = await pool.query(`
      WITH OrderStats AS (
        SELECT 
          COUNT(DISTINCT o.order_number) as total_orders,
          SUM(o.price * o.quantity) as total_revenue,
          AVG(subtotal) as average_order_value
        FROM orders o
        LEFT JOIN (
          SELECT order_number, SUM(price * quantity) as subtotal 
          FROM orders 
          WHERE DATE(date) >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) 
            AND canceled = false
          GROUP BY order_number
        ) t ON o.order_number = t.order_number
        WHERE DATE(o.date) >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
          AND o.canceled = false
      ),
      ProfitStats AS (
        SELECT 
          SUM((o.price - p.cost_price) * o.quantity) as total_profit,
          SUM(o.price * o.quantity) as revenue
        FROM orders o
        JOIN products p ON o.product_id = p.product_id
        WHERE DATE(o.date) >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
          AND o.canceled = false
      ),
      ProductStats AS (
        SELECT 
          COUNT(*) as total_products,
          COUNT(CASE WHEN stock_quantity <= 5 THEN 1 END) as low_stock_products
        FROM products
        WHERE visible = true
      )
      SELECT 
        ps.total_products,
        ps.low_stock_products,
        os.total_orders,
        os.average_order_value,
        os.total_revenue,
        prs.total_profit,
        CASE 
          WHEN prs.revenue > 0 THEN (prs.total_profit / prs.revenue) * 100
          ELSE 0 
        END as profit_margin
      FROM ProductStats ps
      CROSS JOIN OrderStats os
      CROSS JOIN ProfitStats prs
    `);
    res.json({
      ...stats[0],
      averageOrderValue: parseFloat(stats[0].average_order_value) || 0,
      totalRevenue: parseFloat(stats[0].total_revenue) || 0,
      profitMargin: parseFloat(stats[0].profit_margin) || 0
    });
  } catch (error) {
    console.error('Error fetching dashboard stats:', error);
    res.status(500).json({ error: 'Failed to fetch dashboard stats' });
  }
});

// Get sales overview data
router.get('/sales-overview', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    const [rows] = await pool.query(`
      SELECT 
        DATE(date) as date,
        SUM(price * quantity) as total
      FROM orders
      WHERE DATE(date) >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
        AND canceled = false
      GROUP BY DATE(date)
      ORDER BY date ASC
    `);
    res.json(rows.map(row => ({
      ...row,
      total: parseFloat(row.total || 0)
    })));
  } catch (error) {
    console.error('Error fetching sales overview:', error);
    res.status(500).json({ error: 'Failed to fetch sales overview' });
  }
});

// Get recent orders
router.get('/recent-orders', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    const [rows] = await pool.query(`
      SELECT 
        o1.order_number as order_id,
        o1.customer as customer_name,
        SUM(o2.price * o2.quantity) as total_amount,
        o1.date as order_date
      FROM orders o1
      JOIN orders o2 ON o1.order_number = o2.order_number
      WHERE o1.canceled = false
      GROUP BY o1.order_number, o1.customer, o1.date
      ORDER BY o1.date DESC
      LIMIT 5
    `);
    res.json(rows.map(row => ({
      ...row,
      total_amount: parseFloat(row.total_amount || 0),
      order_date: row.order_date
    })));
  } catch (error) {
    console.error('Error fetching recent orders:', error);
    res.status(500).json({ error: 'Failed to fetch recent orders' });
  }
});

// Get category stats
router.get('/category-stats', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    const [rows] = await pool.query(`
      SELECT 
        c.name as category,
        COUNT(DISTINCT pc.product_id) as count
      FROM categories c
      LEFT JOIN product_categories pc ON c.id = pc.category_id
      LEFT JOIN products p ON pc.product_id = p.product_id
      WHERE p.visible = true
      GROUP BY c.name
      ORDER BY count DESC
      LIMIT 10
    `);
    res.json(rows);
  } catch (error) {
    console.error('Error fetching category stats:', error);
    res.status(500).json({ error: 'Failed to fetch category stats' });
  }
});

// Get stock levels
router.get('/stock-levels', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    const [rows] = await pool.query(`
      SELECT
        SUM(CASE WHEN stock_quantity = 0 THEN 1 ELSE 0 END) as outOfStock,
        SUM(CASE WHEN stock_quantity > 0 AND stock_quantity <= 5 THEN 1 ELSE 0 END) as lowStock,
        SUM(CASE WHEN stock_quantity > 5 AND stock_quantity <= 20 THEN 1 ELSE 0 END) as inStock,
        SUM(CASE WHEN stock_quantity > 20 THEN 1 ELSE 0 END) as overStock
      FROM products
      WHERE visible = true
    `);
    res.json(rows[0]);
  } catch (error) {
    console.error('Error fetching stock levels:', error);
    res.status(500).json({ error: 'Failed to fetch stock levels' });
  }
});

// Get sales by category
router.get('/sales-by-category', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    const [rows] = await pool.query(`
      SELECT 
        c.name as category,
        SUM(o.price * o.quantity) as total
      FROM orders o
      JOIN products p ON o.product_id = p.product_id
      JOIN product_categories pc ON p.product_id = pc.product_id
      JOIN categories c ON pc.category_id = c.id
      WHERE o.canceled = false
        AND DATE(o.date) >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
      GROUP BY c.name
      ORDER BY total DESC
      LIMIT 6
    `);
    
    const total = rows.reduce((sum, row) => sum + parseFloat(row.total || 0), 0);
    
    res.json(rows.map(row => ({
      category: row.category || 'Uncategorized',
      total: parseFloat(row.total || 0),
      percentage: total > 0 ? (parseFloat(row.total || 0) / total) : 0
    })));
  } catch (error) {
    console.error('Error fetching sales by category:', error);
    res.status(500).json({ error: 'Failed to fetch sales by category' });
  }
});

// Get inventory health summary
router.get('/inventory/health/summary', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    // First check what statuses exist
    const [checkStatuses] = await pool.query(`
      SELECT DISTINCT stock_status 
      FROM product_metrics
      WHERE stock_status IS NOT NULL
    `);
    console.log('Available stock statuses:', checkStatuses.map(row => row.stock_status));

    const [rows] = await pool.query(`
      WITH normalized_status AS (
        SELECT 
          CASE 
            WHEN stock_status = 'Overstocked' THEN 'Overstock'
            WHEN stock_status = 'New' THEN 'Healthy'
            ELSE stock_status
          END as status
        FROM product_metrics
        WHERE stock_status IS NOT NULL
      )
      SELECT 
        status as stock_status,
        COUNT(*) as count
      FROM normalized_status
      GROUP BY status
    `);
    
    console.log('Raw inventory health summary:', rows);
    
    // Convert array to object with lowercase keys
    const summary = {
      critical: 0,
      reorder: 0,
      healthy: 0,
      overstock: 0
    };

    rows.forEach(row => {
      const key = row.stock_status.toLowerCase();
      if (key in summary) {
        summary[key] = parseInt(row.count);
      }
    });

    // Calculate total
    summary.total = Object.values(summary).reduce((a, b) => a + b, 0);
    
    console.log('Final inventory health summary:', summary);
    res.json(summary);
  } catch (error) {
    console.error('Error fetching inventory health summary:', error);
    res.status(500).json({ error: 'Failed to fetch inventory health summary' });
  }
});

// Get low stock alerts
router.get('/inventory/low-stock', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    const [rows] = await pool.query(`
      SELECT 
        p.product_id,
        p.sku,
        p.title,
        p.stock_quantity,
        pm.reorder_point,
        pm.days_of_inventory,
        pm.daily_sales_avg,
        pm.stock_status
      FROM product_metrics pm
      JOIN products p ON pm.product_id = p.product_id
      WHERE pm.stock_status IN ('Critical', 'Reorder')
      ORDER BY 
        CASE pm.stock_status
          WHEN 'Critical' THEN 1
          WHEN 'Reorder' THEN 2
          ELSE 3
        END,
        pm.days_of_inventory ASC
      LIMIT 50
    `);
    res.json(rows);
  } catch (error) {
    console.error('Error fetching low stock alerts:', error);
    res.status(500).json({ error: 'Failed to fetch low stock alerts' });
  }
});

// Get vendor performance metrics
router.get('/vendors/metrics', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    console.log('Fetching vendor metrics...');
    const [rows] = await pool.query(`
      SELECT 
        vendor,
        avg_lead_time_days,
        on_time_delivery_rate,
        order_fill_rate,
        total_orders,
        total_late_orders,
        total_purchase_value,
        avg_order_value
      FROM vendor_metrics
      ORDER BY on_time_delivery_rate DESC
    `);
    console.log('Found vendor metrics:', rows.length, 'rows');
    console.log('First row sample:', rows[0]);
    
    const mappedRows = rows.map(row => ({
      ...row,
      avg_lead_time_days: parseFloat(row.avg_lead_time_days || 0),
      on_time_delivery_rate: parseFloat(row.on_time_delivery_rate || 0),
      order_fill_rate: parseFloat(row.order_fill_rate || 0),
      total_purchase_value: parseFloat(row.total_purchase_value || 0),
      avg_order_value: parseFloat(row.avg_order_value || 0)
    }));
    console.log('First mapped row sample:', mappedRows[0]);
    
    res.json(mappedRows);
  } catch (error) {
    console.error('Error fetching vendor metrics:', error);
    res.status(500).json({ error: 'Failed to fetch vendor metrics' });
  }
});

// Get trending products
router.get('/products/trending', async (req, res) => {
  const pool = req.app.locals.pool;
  try {
    // First check if we have any data
    const [checkData] = await pool.query(`
      SELECT COUNT(*) as count, 
             MAX(total_revenue) as max_revenue,
             MAX(daily_sales_avg) as max_daily_sales,
             COUNT(DISTINCT product_id) as products_with_metrics
      FROM product_metrics 
      WHERE total_revenue > 0 OR daily_sales_avg > 0
    `);
    console.log('Product metrics stats:', checkData[0]);

    if (checkData[0].count === 0) {
      console.log('No products with metrics found');
      return res.json([]);
    }

    // Get trending products
    const [rows] = await pool.query(`
      SELECT 
        p.product_id,
        p.sku,
        p.title,
        COALESCE(pm.daily_sales_avg, 0) as daily_sales_avg,
        COALESCE(pm.weekly_sales_avg, 0) as weekly_sales_avg,
        CASE 
          WHEN pm.weekly_sales_avg > 0 AND pm.daily_sales_avg > 0
          THEN ((pm.daily_sales_avg - pm.weekly_sales_avg) / pm.weekly_sales_avg) * 100
          ELSE 0 
        END as growth_rate,
        COALESCE(pm.total_revenue, 0) as total_revenue
      FROM products p
      INNER JOIN product_metrics pm ON p.product_id = pm.product_id
      WHERE (pm.total_revenue > 0 OR pm.daily_sales_avg > 0)
        AND p.visible = true
      ORDER BY growth_rate DESC
      LIMIT 50
    `);

    console.log('Trending products:', rows);
    res.json(rows);
  } catch (error) {
    console.error('Error fetching trending products:', error);
    res.status(500).json({ error: 'Failed to fetch trending products' });
  }
});

module.exports = router;