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;