Import/metrics calc fixes
This commit is contained in:
@@ -214,7 +214,7 @@ BEGIN
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-- Final INSERT/UPDATE statement using all the prepared CTEs
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INSERT INTO public.product_metrics (
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pid, last_calculated, sku, title, brand, vendor, image_url, is_visible, is_replenishable,
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current_price, current_regular_price, current_cost_price, current_landing_cost_price,
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current_price, current_regular_price, current_cost_price,
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current_stock, current_stock_cost, current_stock_retail, current_stock_gross,
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on_order_qty, on_order_cost, on_order_retail, earliest_expected_date,
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date_created, date_first_received, date_last_received, date_first_sold, date_last_sold, age_days,
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@@ -242,7 +242,7 @@ BEGIN
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SELECT
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-- Select columns in order, joining all CTEs by pid
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ci.pid, _start_time, ci.sku, ci.title, ci.brand, ci.vendor, ci.image_url, ci.is_visible, ci.replenishable,
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ci.current_price, ci.current_regular_price, ci.current_cost_price, ci.current_effective_cost,
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ci.current_price, ci.current_regular_price, ci.current_cost_price,
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ci.current_stock, (ci.current_stock * COALESCE(ci.current_effective_cost, 0.00))::numeric(12,2), (ci.current_stock * COALESCE(ci.current_price, 0.00))::numeric(12,2), (ci.current_stock * COALESCE(ci.current_regular_price, 0.00))::numeric(12,2),
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COALESCE(ooi.on_order_qty, 0), COALESCE(ooi.on_order_cost, 0.00)::numeric(12,2), (COALESCE(ooi.on_order_qty, 0) * COALESCE(ci.current_price, 0.00))::numeric(12,2), ooi.earliest_expected_date,
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@@ -415,7 +415,7 @@ BEGIN
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-- *** IMPORTANT: List ALL columns here, ensuring order matches INSERT list ***
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-- Update ALL columns to ensure entire row is refreshed
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last_calculated = EXCLUDED.last_calculated, sku = EXCLUDED.sku, title = EXCLUDED.title, brand = EXCLUDED.brand, vendor = EXCLUDED.vendor, image_url = EXCLUDED.image_url, is_visible = EXCLUDED.is_visible, is_replenishable = EXCLUDED.is_replenishable,
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current_price = EXCLUDED.current_price, current_regular_price = EXCLUDED.current_regular_price, current_cost_price = EXCLUDED.current_cost_price, current_landing_cost_price = EXCLUDED.current_landing_cost_price,
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current_price = EXCLUDED.current_price, current_regular_price = EXCLUDED.current_regular_price, current_cost_price = EXCLUDED.current_cost_price,
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current_stock = EXCLUDED.current_stock, current_stock_cost = EXCLUDED.current_stock_cost, current_stock_retail = EXCLUDED.current_stock_retail, current_stock_gross = EXCLUDED.current_stock_gross,
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on_order_qty = EXCLUDED.on_order_qty, on_order_cost = EXCLUDED.on_order_cost, on_order_retail = EXCLUDED.on_order_retail, earliest_expected_date = EXCLUDED.earliest_expected_date,
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date_created = EXCLUDED.date_created, date_first_received = EXCLUDED.date_first_received, date_last_received = EXCLUDED.date_last_received, date_first_sold = EXCLUDED.date_first_sold, date_last_sold = EXCLUDED.date_last_sold, age_days = EXCLUDED.age_days,
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@@ -13,7 +13,7 @@ DECLARE
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_begin_date DATE := (SELECT MIN(date)::date FROM orders WHERE date >= '2020-01-01'); -- Starting point: captures all historical order data
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_end_date DATE := CURRENT_DATE;
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BEGIN
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RAISE NOTICE 'Beginning daily snapshots rebuild from % to %. Starting at %', _begin_date, _end_date, _start_time;
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RAISE NOTICE 'Begicnning daily snapshots rebuild from % to %. Starting at %', _begin_date, _end_date, _start_time;
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-- First truncate the existing snapshots to ensure a clean slate
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TRUNCATE TABLE public.daily_product_snapshots;
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@@ -36,7 +36,13 @@ BEGIN
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COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.quantity ELSE 0 END), 0) AS units_sold,
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COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.price * o.quantity ELSE 0 END), 0.00) AS gross_revenue_unadjusted,
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COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN o.discount ELSE 0 END), 0.00) AS discounts,
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COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN COALESCE(o.costeach, p.cost_price) * o.quantity ELSE 0 END), 0.00) AS cogs,
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COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN
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COALESCE(
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o.costeach,
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get_weighted_avg_cost(p.pid, o.date::date),
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p.cost_price
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) * o.quantity
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ELSE 0 END), 0.00) AS cogs,
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COALESCE(SUM(CASE WHEN o.quantity > 0 AND COALESCE(o.status, 'pending') NOT IN ('canceled', 'returned') THEN p.regular_price * o.quantity ELSE 0 END), 0.00) AS gross_regular_revenue,
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-- Aggregate Returns (Quantity < 0 or Status = Returned)
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@@ -63,15 +69,17 @@ BEGIN
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GROUP BY r.pid
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HAVING COUNT(DISTINCT r.receiving_id) > 0 OR SUM(r.qty_each) > 0
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),
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-- Get stock quantities for the day - note this is approximate since we're using current products data
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-- Use historical stock from stock_snapshots when available,
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-- falling back to current stock from products table
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StockData AS (
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SELECT
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p.pid,
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p.stock_quantity,
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COALESCE(p.cost_price, 0.00) as effective_cost_price,
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COALESCE(ss.stock_quantity, p.stock_quantity) AS stock_quantity,
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COALESCE(ss.stock_value, p.stock_quantity * COALESCE(p.cost_price, 0.00)) AS stock_value,
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COALESCE(p.price, 0.00) as current_price,
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COALESCE(p.regular_price, 0.00) as current_regular_price
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FROM public.products p
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LEFT JOIN stock_snapshots ss ON p.pid = ss.pid AND ss.snapshot_date = _date
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)
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INSERT INTO public.daily_product_snapshots (
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snapshot_date,
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@@ -99,9 +107,9 @@ BEGIN
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_date AS snapshot_date,
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COALESCE(sd.pid, rd.pid) AS pid,
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sd.sku,
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-- Use current stock as approximation, since historical stock data may not be available
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-- Historical stock from stock_snapshots, falls back to current stock
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s.stock_quantity AS eod_stock_quantity,
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s.stock_quantity * s.effective_cost_price AS eod_stock_cost,
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s.stock_value AS eod_stock_cost,
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s.stock_quantity * s.current_price AS eod_stock_retail,
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s.stock_quantity * s.current_regular_price AS eod_stock_gross,
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(s.stock_quantity <= 0) AS stockout_flag,
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@@ -114,7 +122,7 @@ BEGIN
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COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00) - COALESCE(sd.returns_revenue, 0.00) AS net_revenue,
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COALESCE(sd.cogs, 0.00),
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COALESCE(sd.gross_regular_revenue, 0.00),
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(COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00)) - COALESCE(sd.cogs, 0.00) AS profit,
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(COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00) - COALESCE(sd.returns_revenue, 0.00)) - COALESCE(sd.cogs, 0.00) AS profit,
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-- Receiving metrics
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COALESCE(rd.units_received, 0),
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COALESCE(rd.cost_received, 0.00),
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@@ -121,14 +121,16 @@ BEGIN
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HAVING COUNT(DISTINCT r.receiving_id) > 0 OR SUM(r.qty_each) > 0
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),
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CurrentStock AS (
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-- Select current stock values directly from products table
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-- Use historical stock from stock_snapshots when available,
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-- falling back to current stock from products table
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SELECT
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pid,
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stock_quantity,
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COALESCE(cost_price, 0.00) as effective_cost_price,
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COALESCE(price, 0.00) as current_price,
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COALESCE(regular_price, 0.00) as current_regular_price
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FROM public.products
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p.pid,
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COALESCE(ss.stock_quantity, p.stock_quantity) AS stock_quantity,
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COALESCE(ss.stock_value, p.stock_quantity * COALESCE(p.cost_price, 0.00)) AS stock_value,
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COALESCE(p.price, 0.00) AS current_price,
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COALESCE(p.regular_price, 0.00) AS current_regular_price
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FROM public.products p
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LEFT JOIN stock_snapshots ss ON p.pid = ss.pid AND ss.snapshot_date = _target_date
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),
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ProductsWithActivity AS (
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-- Quick pre-filter to only process products with activity
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@@ -168,7 +170,7 @@ BEGIN
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COALESCE(sd.sku, p.sku) AS sku, -- Get SKU from sales data or products table
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-- Inventory Metrics (Using CurrentStock)
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cs.stock_quantity AS eod_stock_quantity,
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cs.stock_quantity * cs.effective_cost_price AS eod_stock_cost,
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cs.stock_value AS eod_stock_cost,
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cs.stock_quantity * cs.current_price AS eod_stock_retail,
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cs.stock_quantity * cs.current_regular_price AS eod_stock_gross,
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(cs.stock_quantity <= 0) AS stockout_flag,
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@@ -181,7 +183,7 @@ BEGIN
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COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00) - COALESCE(sd.returns_revenue, 0.00) AS net_revenue,
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COALESCE(sd.cogs, 0.00),
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COALESCE(sd.gross_regular_revenue, 0.00),
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(COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00)) - COALESCE(sd.cogs, 0.00) AS profit, -- Basic profit: Net Revenue - COGS
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(COALESCE(sd.gross_revenue_unadjusted, 0.00) - COALESCE(sd.discounts, 0.00) - COALESCE(sd.returns_revenue, 0.00)) - COALESCE(sd.cogs, 0.00) AS profit,
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-- Receiving Metrics (From ReceivingData)
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COALESCE(rd.units_received, 0),
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COALESCE(rd.cost_received, 0.00),
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@@ -204,22 +204,33 @@ BEGIN
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GROUP BY pid
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),
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DemandVariability AS (
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-- Calculate variance and standard deviation of daily sales
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-- Calculate variance and standard deviation of daily sales over the full 30-day window
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-- including zero-sales days (not just activity days) for accurate variability metrics
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SELECT
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pid,
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COUNT(*) AS days_with_data,
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AVG(units_sold) AS avg_daily_sales,
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VARIANCE(units_sold) AS sales_variance,
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STDDEV(units_sold) AS sales_std_dev,
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-- Coefficient of variation
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CASE
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WHEN AVG(units_sold) > 0 THEN STDDEV(units_sold) / AVG(units_sold)
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ELSE NULL
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pd.pid,
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COUNT(dps.pid) AS days_with_data,
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AVG(COALESCE(dps.units_sold, 0)) AS avg_daily_sales,
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VARIANCE(COALESCE(dps.units_sold, 0)) AS sales_variance,
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STDDEV(COALESCE(dps.units_sold, 0)) AS sales_std_dev,
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CASE
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WHEN AVG(COALESCE(dps.units_sold, 0)) > 0
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THEN STDDEV(COALESCE(dps.units_sold, 0)) / AVG(COALESCE(dps.units_sold, 0))
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ELSE NULL
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END AS sales_cv
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FROM public.daily_product_snapshots
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WHERE snapshot_date >= _current_date - INTERVAL '29 days'
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AND snapshot_date <= _current_date
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GROUP BY pid
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FROM (
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SELECT DISTINCT pid
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FROM public.daily_product_snapshots
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WHERE snapshot_date >= _current_date - INTERVAL '29 days'
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AND snapshot_date <= _current_date
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) pd
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CROSS JOIN generate_series(
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(_current_date - INTERVAL '29 days')::date,
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_current_date,
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'1 day'::interval
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) AS d(day)
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LEFT JOIN public.daily_product_snapshots dps
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ON dps.pid = pd.pid AND dps.snapshot_date = d.day::date
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GROUP BY pd.pid
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),
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ServiceLevels AS (
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-- Calculate service level and fill rate metrics
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@@ -257,7 +268,7 @@ BEGIN
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barcode, harmonized_tariff_code, vendor_reference, notions_reference, line, subline, artist,
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moq, rating, reviews, weight, length, width, height, country_of_origin, location,
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baskets, notifies, preorder_count, notions_inv_count,
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current_price, current_regular_price, current_cost_price, current_landing_cost_price,
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current_price, current_regular_price, current_cost_price,
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current_stock, current_stock_cost, current_stock_retail, current_stock_gross,
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on_order_qty, on_order_cost, on_order_retail, earliest_expected_date,
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date_created, date_first_received, date_last_received, date_first_sold, date_last_sold, age_days,
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@@ -295,7 +306,7 @@ BEGIN
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ci.barcode, ci.harmonized_tariff_code, ci.vendor_reference, ci.notions_reference, ci.line, ci.subline, ci.artist,
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ci.moq, ci.rating, ci.reviews, ci.weight, ci.length, ci.width, ci.height, ci.country_of_origin, ci.location,
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ci.baskets, ci.notifies, ci.preorder_count, ci.notions_inv_count,
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ci.current_price, ci.current_regular_price, ci.current_cost_price, ci.current_effective_cost,
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ci.current_price, ci.current_regular_price, ci.current_cost_price,
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ci.current_stock, ci.current_stock * ci.current_effective_cost, ci.current_stock * ci.current_price, ci.current_stock * ci.current_regular_price,
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COALESCE(ooi.on_order_qty, 0), COALESCE(ooi.on_order_cost, 0.00), COALESCE(ooi.on_order_qty, 0) * ci.current_price, ooi.earliest_expected_date,
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ci.created_at::date, COALESCE(ci.first_received::date, hd.date_first_received_calc), hd.date_last_received_calc, hd.date_first_sold, COALESCE(ci.date_last_sold, hd.max_order_date),
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@@ -514,7 +525,7 @@ BEGIN
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barcode = EXCLUDED.barcode, harmonized_tariff_code = EXCLUDED.harmonized_tariff_code, vendor_reference = EXCLUDED.vendor_reference, notions_reference = EXCLUDED.notions_reference, line = EXCLUDED.line, subline = EXCLUDED.subline, artist = EXCLUDED.artist,
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moq = EXCLUDED.moq, rating = EXCLUDED.rating, reviews = EXCLUDED.reviews, weight = EXCLUDED.weight, length = EXCLUDED.length, width = EXCLUDED.width, height = EXCLUDED.height, country_of_origin = EXCLUDED.country_of_origin, location = EXCLUDED.location,
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baskets = EXCLUDED.baskets, notifies = EXCLUDED.notifies, preorder_count = EXCLUDED.preorder_count, notions_inv_count = EXCLUDED.notions_inv_count,
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current_price = EXCLUDED.current_price, current_regular_price = EXCLUDED.current_regular_price, current_cost_price = EXCLUDED.current_cost_price, current_landing_cost_price = EXCLUDED.current_landing_cost_price,
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current_price = EXCLUDED.current_price, current_regular_price = EXCLUDED.current_regular_price, current_cost_price = EXCLUDED.current_cost_price,
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current_stock = EXCLUDED.current_stock, current_stock_cost = EXCLUDED.current_stock_cost, current_stock_retail = EXCLUDED.current_stock_retail, current_stock_gross = EXCLUDED.current_stock_gross,
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on_order_qty = EXCLUDED.on_order_qty, on_order_cost = EXCLUDED.on_order_cost, on_order_retail = EXCLUDED.on_order_retail, earliest_expected_date = EXCLUDED.earliest_expected_date,
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date_created = EXCLUDED.date_created, date_first_received = EXCLUDED.date_first_received, date_last_received = EXCLUDED.date_last_received, date_first_sold = EXCLUDED.date_first_sold, date_last_sold = EXCLUDED.date_last_sold, age_days = EXCLUDED.age_days,
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@@ -567,11 +578,26 @@ BEGIN
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product_metrics.replenishment_units IS DISTINCT FROM EXCLUDED.replenishment_units OR
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product_metrics.stock_cover_in_days IS DISTINCT FROM EXCLUDED.stock_cover_in_days OR
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product_metrics.yesterday_sales IS DISTINCT FROM EXCLUDED.yesterday_sales OR
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-- Check a few other important fields that might change
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product_metrics.date_last_sold IS DISTINCT FROM EXCLUDED.date_last_sold OR
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product_metrics.earliest_expected_date IS DISTINCT FROM EXCLUDED.earliest_expected_date OR
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product_metrics.lifetime_sales IS DISTINCT FROM EXCLUDED.lifetime_sales OR
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product_metrics.lifetime_revenue_quality IS DISTINCT FROM EXCLUDED.lifetime_revenue_quality
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product_metrics.lifetime_revenue_quality IS DISTINCT FROM EXCLUDED.lifetime_revenue_quality OR
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-- Derived metrics that can change even when source fields don't
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product_metrics.profit_30d IS DISTINCT FROM EXCLUDED.profit_30d OR
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product_metrics.cogs_30d IS DISTINCT FROM EXCLUDED.cogs_30d OR
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product_metrics.margin_30d IS DISTINCT FROM EXCLUDED.margin_30d OR
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product_metrics.stockout_days_30d IS DISTINCT FROM EXCLUDED.stockout_days_30d OR
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product_metrics.sell_through_30d IS DISTINCT FROM EXCLUDED.sell_through_30d OR
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-- Growth and variability metrics
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product_metrics.sales_growth_30d_vs_prev IS DISTINCT FROM EXCLUDED.sales_growth_30d_vs_prev OR
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product_metrics.revenue_growth_30d_vs_prev IS DISTINCT FROM EXCLUDED.revenue_growth_30d_vs_prev OR
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product_metrics.demand_pattern IS DISTINCT FROM EXCLUDED.demand_pattern OR
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product_metrics.seasonal_pattern IS DISTINCT FROM EXCLUDED.seasonal_pattern OR
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product_metrics.seasonality_index IS DISTINCT FROM EXCLUDED.seasonality_index OR
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product_metrics.service_level_30d IS DISTINCT FROM EXCLUDED.service_level_30d OR
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product_metrics.fill_rate_30d IS DISTINCT FROM EXCLUDED.fill_rate_30d OR
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-- Time-based safety net: always update if more than 1 day stale
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product_metrics.last_calculated < NOW() - INTERVAL '1 day'
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;
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-- Update the status table with the timestamp from the START of this run
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