Add forecasting page
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@@ -18,6 +18,7 @@ CREATE TABLE IF NOT EXISTS temp_purchase_metrics (
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product_id BIGINT NOT NULL,
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avg_lead_time_days INT,
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last_purchase_date DATE,
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first_received_date DATE,
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last_received_date DATE,
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PRIMARY KEY (product_id)
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);
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@@ -51,6 +52,7 @@ CREATE TABLE IF NOT EXISTS product_metrics (
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-- Purchase metrics
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avg_lead_time_days INT,
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last_purchase_date DATE,
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first_received_date DATE,
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last_received_date DATE,
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-- Classification
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abc_class CHAR(1),
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@@ -107,6 +109,23 @@ CREATE TABLE IF NOT EXISTS vendor_metrics (
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INDEX idx_vendor_performance (on_time_delivery_rate)
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);
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-- New table for category-based sales metrics
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CREATE TABLE IF NOT EXISTS category_sales_metrics (
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category_id BIGINT NOT NULL,
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brand VARCHAR(100) NOT NULL,
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period_start DATE NOT NULL,
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period_end DATE NOT NULL,
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avg_daily_sales DECIMAL(10,3) DEFAULT 0,
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total_sold INT DEFAULT 0,
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num_products INT DEFAULT 0,
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avg_price DECIMAL(10,3) DEFAULT 0,
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last_calculated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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PRIMARY KEY (category_id, brand, period_start, period_end),
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FOREIGN KEY (category_id) REFERENCES categories(id) ON DELETE CASCADE,
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INDEX idx_category_brand (category_id, brand),
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INDEX idx_period (period_start, period_end)
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);
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-- Re-enable foreign key checks
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SET FOREIGN_KEY_CHECKS = 1;
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@@ -223,4 +242,27 @@ LEFT JOIN
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WHERE
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o.canceled = false
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GROUP BY
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p.product_id, p.SKU, p.title;
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p.product_id, p.SKU, p.title;
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-- Create view for category sales trends
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CREATE OR REPLACE VIEW category_sales_trends AS
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SELECT
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c.id as category_id,
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c.name as category_name,
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p.brand,
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COUNT(DISTINCT p.product_id) as num_products,
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COALESCE(AVG(o.quantity), 0) as avg_daily_sales,
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COALESCE(SUM(o.quantity), 0) as total_sold,
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COALESCE(AVG(o.price), 0) as avg_price,
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MIN(o.date) as first_sale_date,
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MAX(o.date) as last_sale_date
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FROM
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categories c
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JOIN
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product_categories pc ON c.id = pc.category_id
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JOIN
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products p ON pc.product_id = p.product_id
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LEFT JOIN
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orders o ON p.product_id = o.product_id AND o.canceled = false
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GROUP BY
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c.id, c.name, p.brand;
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