Add backend changes and update scripts
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@@ -547,7 +547,194 @@ async function calculateCategorySalesMetrics(connection, startTime, totalProduct
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`);
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}
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// Update the main calculation function to include category sales metrics
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// Add new functions for vendor and category metrics
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async function calculateVendorMetrics(connection) {
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console.log('Calculating vendor metrics...');
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// Calculate vendor performance metrics
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await connection.query(`
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INSERT INTO vendor_metrics (
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vendor,
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avg_lead_time_days,
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on_time_delivery_rate,
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order_fill_rate,
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total_orders,
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total_late_orders,
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total_purchase_value,
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avg_order_value,
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active_products,
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total_products,
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total_revenue,
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avg_margin_percent,
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status
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)
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SELECT
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vd.vendor,
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-- Lead time metrics
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AVG(DATEDIFF(po.received_date, po.date)) as avg_lead_time_days,
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-- On-time delivery rate
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(COUNT(CASE WHEN po.received_date <= po.expected_date THEN 1 END) / COUNT(*)) * 100 as on_time_delivery_rate,
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-- Order fill rate
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(SUM(po.received) / SUM(po.ordered)) * 100 as order_fill_rate,
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COUNT(DISTINCT po.po_id) as total_orders,
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COUNT(DISTINCT CASE WHEN po.received_date > po.expected_date THEN po.po_id END) as total_late_orders,
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SUM(po.cost_price * po.ordered) as total_purchase_value,
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AVG(po.cost_price * po.ordered) as avg_order_value,
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-- Product counts
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COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
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COUNT(DISTINCT p.product_id) as total_products,
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-- Financial metrics
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SUM(o.price * o.quantity) as total_revenue,
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AVG(((o.price - p.cost_price) / o.price) * 100) as avg_margin_percent,
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vd.status
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FROM vendor_details vd
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LEFT JOIN products p ON vd.vendor = p.vendor
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LEFT JOIN purchase_orders po ON p.product_id = po.product_id
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LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
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GROUP BY vd.vendor, vd.status
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ON DUPLICATE KEY UPDATE
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avg_lead_time_days = VALUES(avg_lead_time_days),
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on_time_delivery_rate = VALUES(on_time_delivery_rate),
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order_fill_rate = VALUES(order_fill_rate),
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total_orders = VALUES(total_orders),
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total_late_orders = VALUES(total_late_orders),
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total_purchase_value = VALUES(total_purchase_value),
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avg_order_value = VALUES(avg_order_value),
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active_products = VALUES(active_products),
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total_products = VALUES(total_products),
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total_revenue = VALUES(total_revenue),
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avg_margin_percent = VALUES(avg_margin_percent),
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status = VALUES(status),
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last_calculated_at = CURRENT_TIMESTAMP
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`);
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// Calculate vendor time-based metrics
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await connection.query(`
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INSERT INTO vendor_time_metrics (
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vendor,
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year,
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month,
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total_orders,
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late_orders,
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avg_lead_time_days,
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total_purchase_value,
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total_revenue,
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avg_margin_percent
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)
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SELECT
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vd.vendor,
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YEAR(po.date) as year,
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MONTH(po.date) as month,
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COUNT(DISTINCT po.po_id) as total_orders,
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COUNT(DISTINCT CASE WHEN po.received_date > po.expected_date THEN po.po_id END) as late_orders,
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AVG(DATEDIFF(po.received_date, po.date)) as avg_lead_time_days,
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SUM(po.cost_price * po.ordered) as total_purchase_value,
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SUM(o.price * o.quantity) as total_revenue,
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AVG(((o.price - p.cost_price) / o.price) * 100) as avg_margin_percent
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FROM vendor_details vd
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LEFT JOIN products p ON vd.vendor = p.vendor
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LEFT JOIN purchase_orders po ON p.product_id = po.product_id
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LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
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WHERE po.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
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GROUP BY vd.vendor, YEAR(po.date), MONTH(po.date)
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ON DUPLICATE KEY UPDATE
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total_orders = VALUES(total_orders),
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late_orders = VALUES(late_orders),
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avg_lead_time_days = VALUES(avg_lead_time_days),
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total_purchase_value = VALUES(total_purchase_value),
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total_revenue = VALUES(total_revenue),
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avg_margin_percent = VALUES(avg_margin_percent)
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`);
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}
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async function calculateCategoryMetrics(connection) {
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console.log('Calculating category metrics...');
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// Calculate category performance metrics
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await connection.query(`
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INSERT INTO category_metrics (
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category_id,
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product_count,
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active_products,
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total_value,
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avg_margin,
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turnover_rate,
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growth_rate,
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status
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)
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SELECT
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c.id as category_id,
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COUNT(DISTINCT p.product_id) as product_count,
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COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
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SUM(p.stock_quantity * p.cost_price) as total_value,
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AVG(((p.price - p.cost_price) / p.price) * 100) as avg_margin,
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-- Turnover rate calculation
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SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0) as turnover_rate,
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-- Growth rate calculation (comparing current month to previous month)
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((
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SUM(CASE WHEN o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) THEN o.quantity ELSE 0 END) -
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SUM(CASE WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 2 MONTH) AND DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) THEN o.quantity ELSE 0 END)
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) / NULLIF(
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SUM(CASE WHEN o.date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 2 MONTH) AND DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) THEN o.quantity ELSE 0 END),
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0
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) * 100) as growth_rate,
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c.status
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FROM categories c
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LEFT JOIN product_categories pc ON c.id = pc.category_id
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LEFT JOIN products p ON pc.product_id = p.product_id
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LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
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GROUP BY c.id, c.status
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ON DUPLICATE KEY UPDATE
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product_count = VALUES(product_count),
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active_products = VALUES(active_products),
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total_value = VALUES(total_value),
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avg_margin = VALUES(avg_margin),
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turnover_rate = VALUES(turnover_rate),
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growth_rate = VALUES(growth_rate),
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status = VALUES(status),
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last_calculated_at = CURRENT_TIMESTAMP
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`);
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// Calculate category time-based metrics
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await connection.query(`
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INSERT INTO category_time_metrics (
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category_id,
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year,
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month,
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product_count,
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active_products,
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total_value,
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total_revenue,
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avg_margin,
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turnover_rate
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)
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SELECT
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c.id as category_id,
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YEAR(o.date) as year,
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MONTH(o.date) as month,
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COUNT(DISTINCT p.product_id) as product_count,
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COUNT(DISTINCT CASE WHEN p.visible = true THEN p.product_id END) as active_products,
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SUM(p.stock_quantity * p.cost_price) as total_value,
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SUM(o.price * o.quantity) as total_revenue,
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AVG(((p.price - p.cost_price) / p.price) * 100) as avg_margin,
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SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0) as turnover_rate
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FROM categories c
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LEFT JOIN product_categories pc ON c.id = pc.category_id
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LEFT JOIN products p ON pc.product_id = p.product_id
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LEFT JOIN orders o ON p.product_id = o.product_id AND o.canceled = false
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WHERE o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 12 MONTH)
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GROUP BY c.id, YEAR(o.date), MONTH(o.date)
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ON DUPLICATE KEY UPDATE
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product_count = VALUES(product_count),
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active_products = VALUES(active_products),
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total_value = VALUES(total_value),
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total_revenue = VALUES(total_revenue),
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avg_margin = VALUES(avg_margin),
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turnover_rate = VALUES(turnover_rate)
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`);
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}
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// Update the main calculation function to include the new metrics
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async function calculateMetrics() {
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let pool;
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const startTime = Date.now();
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