const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate, logError } = require('./utils/progress'); const { getConnection } = require('./utils/db'); async function calculateTimeAggregates(startTime, totalProducts, processedCount, isCancelled = false) { const connection = await getConnection(); try { if (isCancelled) { outputProgress({ status: 'cancelled', operation: 'Time aggregates calculation cancelled', current: processedCount, total: totalProducts, elapsed: formatElapsedTime(startTime), remaining: null, rate: calculateRate(startTime, processedCount), percentage: ((processedCount / totalProducts) * 100).toFixed(1), timing: { start_time: new Date(startTime).toISOString(), end_time: new Date().toISOString(), elapsed_seconds: Math.round((Date.now() - startTime) / 1000) } }); return processedCount; } outputProgress({ status: 'running', operation: 'Starting time aggregates calculation', current: processedCount, total: totalProducts, elapsed: formatElapsedTime(startTime), remaining: estimateRemaining(startTime, processedCount, totalProducts), rate: calculateRate(startTime, processedCount), percentage: ((processedCount / totalProducts) * 100).toFixed(1), timing: { start_time: new Date(startTime).toISOString(), end_time: new Date().toISOString(), elapsed_seconds: Math.round((Date.now() - startTime) / 1000) } }); // Initial insert of time-based aggregates await connection.query(` INSERT INTO product_time_aggregates ( pid, year, month, total_quantity_sold, total_revenue, total_cost, order_count, stock_received, stock_ordered, avg_price, profit_margin, inventory_value, gmroi ) WITH monthly_sales AS ( SELECT o.pid, 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, COUNT(DISTINCT DATE(o.date)) as active_days FROM orders o JOIN products p ON o.pid = p.pid WHERE o.canceled = false GROUP BY o.pid, YEAR(o.date), MONTH(o.date) ), monthly_stock AS ( SELECT pid, YEAR(date) as year, MONTH(date) as month, SUM(received) as stock_received, SUM(ordered) as stock_ordered FROM purchase_orders GROUP BY pid, YEAR(date), MONTH(date) ) SELECT s.pid, 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, s.inventory_value, CASE WHEN s.inventory_value > 0 THEN (s.total_revenue - s.total_cost) / s.inventory_value ELSE 0 END as gmroi FROM sales_data s LEFT JOIN purchase_data p ON s.pid = p.pid AND s.year = p.year AND s.month = p.month UNION SELECT p.pid, 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, (SELECT cost_price * stock_quantity FROM products WHERE pid = p.pid) as inventory_value, 0 as gmroi FROM purchase_data p LEFT JOIN sales_data s ON p.pid = s.pid AND p.year = s.year AND p.month = s.month WHERE s.pid 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), inventory_value = VALUES(inventory_value), gmroi = VALUES(gmroi) `); processedCount = Math.floor(totalProducts * 0.60); outputProgress({ status: 'running', operation: 'Base time aggregates calculated, updating financial metrics', current: processedCount, total: totalProducts, elapsed: formatElapsedTime(startTime), remaining: estimateRemaining(startTime, processedCount, totalProducts), rate: calculateRate(startTime, processedCount), percentage: ((processedCount / totalProducts) * 100).toFixed(1), timing: { start_time: new Date(startTime).toISOString(), end_time: new Date().toISOString(), elapsed_seconds: Math.round((Date.now() - startTime) / 1000) } }); if (isCancelled) return processedCount; // Update with financial metrics await connection.query(` UPDATE product_time_aggregates pta JOIN ( SELECT p.pid, 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.pid = o.pid WHERE o.canceled = false GROUP BY p.pid, YEAR(o.date), MONTH(o.date) ) fin ON pta.pid = fin.pid 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 `); processedCount = Math.floor(totalProducts * 0.65); outputProgress({ status: 'running', operation: 'Financial metrics updated', current: processedCount, total: totalProducts, elapsed: formatElapsedTime(startTime), remaining: estimateRemaining(startTime, processedCount, totalProducts), rate: calculateRate(startTime, processedCount), percentage: ((processedCount / totalProducts) * 100).toFixed(1), timing: { start_time: new Date(startTime).toISOString(), end_time: new Date().toISOString(), elapsed_seconds: Math.round((Date.now() - startTime) / 1000) } }); return processedCount; } catch (error) { logError(error, 'Error calculating time aggregates'); throw error; } finally { if (connection) { connection.release(); } } } module.exports = calculateTimeAggregates;