263 lines
14 KiB
SQL
263 lines
14 KiB
SQL
-- Description: Calculates and updates daily aggregated product data.
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-- Self-healing: detects gaps (missing snapshots), stale data (snapshot
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-- aggregates that don't match source tables after backfills), and always
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-- reprocesses recent days to pick up new orders and data corrections.
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-- Dependencies: Core import tables (products, orders, purchase_orders), calculate_status table.
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-- Frequency: Hourly (Run ~5-10 minutes after hourly data import completes).
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DO $$
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DECLARE
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_module_name TEXT := 'daily_snapshots';
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_start_time TIMESTAMPTZ := clock_timestamp();
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_target_date DATE;
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_total_records INT := 0;
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_days_processed INT := 0;
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_max_backfill_days INT := 90; -- Safety cap: max days to backfill per run
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_recent_recheck_days INT := 2; -- Always reprocess this many recent days (today + yesterday)
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_latest_snapshot DATE;
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_backfill_start DATE;
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BEGIN
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RAISE NOTICE 'Running % script. Start Time: %', _module_name, _start_time;
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-- Find the latest existing snapshot date (for logging only)
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SELECT MAX(snapshot_date) INTO _latest_snapshot
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FROM public.daily_product_snapshots;
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-- Always scan the full backfill window to catch holes in the middle,
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-- not just gaps at the end. The gap fill and stale detection queries
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-- need to see the entire range to find missing or outdated snapshots.
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_backfill_start := CURRENT_DATE - _max_backfill_days;
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IF _latest_snapshot IS NULL THEN
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RAISE NOTICE 'No existing snapshots found. Backfilling up to % days.', _max_backfill_days;
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ELSE
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RAISE NOTICE 'Latest snapshot: %. Scanning from % for gaps and stale data.', _latest_snapshot, _backfill_start;
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END IF;
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-- Process all dates that need snapshots:
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-- 1. Gap fill: dates with orders/receivings but no snapshots (older than recent window)
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-- 2. Stale detection: existing snapshots where aggregates don't match source data
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-- (catches backfilled imports that arrived after snapshot was calculated)
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-- 3. Recent recheck: last N days always reprocessed (picks up new orders, corrections)
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FOR _target_date IN
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SELECT d FROM (
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-- Gap fill: find dates with activity but missing snapshots
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SELECT activity_dates.d
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FROM (
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SELECT DISTINCT date::date AS d FROM public.orders
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WHERE date::date >= _backfill_start AND date::date < CURRENT_DATE - _recent_recheck_days
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UNION
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SELECT DISTINCT received_date::date AS d FROM public.receivings
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WHERE received_date::date >= _backfill_start AND received_date::date < CURRENT_DATE - _recent_recheck_days
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) activity_dates
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WHERE NOT EXISTS (
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SELECT 1 FROM public.daily_product_snapshots dps WHERE dps.snapshot_date = activity_dates.d
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)
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UNION
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-- Stale detection: compare snapshot aggregates against source tables
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SELECT snap_agg.snapshot_date AS d
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FROM (
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SELECT snapshot_date,
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COALESCE(SUM(units_received), 0)::bigint AS snap_received,
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COALESCE(SUM(units_sold), 0)::bigint AS snap_sold
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FROM public.daily_product_snapshots
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WHERE snapshot_date >= _backfill_start
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AND snapshot_date < CURRENT_DATE - _recent_recheck_days
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GROUP BY snapshot_date
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) snap_agg
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LEFT JOIN (
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SELECT received_date::date AS d, SUM(qty_each)::bigint AS actual_received
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FROM public.receivings
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WHERE received_date::date >= _backfill_start
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AND received_date::date < CURRENT_DATE - _recent_recheck_days
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GROUP BY received_date::date
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) recv_agg ON snap_agg.snapshot_date = recv_agg.d
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LEFT JOIN (
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SELECT date::date AS d,
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SUM(CASE WHEN quantity > 0 AND COALESCE(status, 'pending') NOT IN ('canceled', 'returned')
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THEN quantity ELSE 0 END)::bigint AS actual_sold
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FROM public.orders
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WHERE date::date >= _backfill_start
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AND date::date < CURRENT_DATE - _recent_recheck_days
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GROUP BY date::date
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) orders_agg ON snap_agg.snapshot_date = orders_agg.d
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WHERE snap_agg.snap_received != COALESCE(recv_agg.actual_received, 0)
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OR snap_agg.snap_sold != COALESCE(orders_agg.actual_sold, 0)
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UNION
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-- Recent days: always reprocess
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SELECT d::date
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FROM generate_series(
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(CURRENT_DATE - _recent_recheck_days)::timestamp,
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CURRENT_DATE::timestamp,
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'1 day'::interval
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) d
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) dates_to_process
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ORDER BY d
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LOOP
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_days_processed := _days_processed + 1;
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-- Classify why this date is being processed (for logging)
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IF _target_date >= CURRENT_DATE - _recent_recheck_days THEN
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RAISE NOTICE 'Processing date: % [recent recheck]', _target_date;
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ELSIF NOT EXISTS (SELECT 1 FROM public.daily_product_snapshots WHERE snapshot_date = _target_date) THEN
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RAISE NOTICE 'Processing date: % [gap fill — no existing snapshot]', _target_date;
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ELSE
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RAISE NOTICE 'Processing date: % [stale data — snapshot aggregates mismatch source]', _target_date;
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END IF;
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-- IMPORTANT: First delete any existing data for this date to prevent duplication
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DELETE FROM public.daily_product_snapshots
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WHERE snapshot_date = _target_date;
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-- Proceed with calculating daily metrics only for products with actual activity
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WITH SalesData AS (
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SELECT
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p.pid,
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p.sku,
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-- Track number of orders to ensure we have real data
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COUNT(o.id) as order_count,
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-- Aggregate Sales (Quantity > 0, Status not Canceled/Returned)
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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, -- Before discount
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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
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COALESCE(
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o.costeach, -- First use order-specific cost if available
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get_weighted_avg_cost(p.pid, o.date::date), -- Then use weighted average cost
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p.cost_price -- Final fallback to current cost
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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, -- Use current regular price for simplicity here
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-- Aggregate Returns (Quantity < 0 or Status = Returned)
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COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN ABS(o.quantity) ELSE 0 END), 0) AS units_returned,
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COALESCE(SUM(CASE WHEN o.quantity < 0 OR COALESCE(o.status, 'pending') = 'returned' THEN o.price * ABS(o.quantity) ELSE 0 END), 0.00) AS returns_revenue
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FROM public.products p -- Start from products to include those with no orders today
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JOIN public.orders o -- Changed to INNER JOIN to only process products with orders
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ON p.pid = o.pid
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AND o.date::date = _target_date -- Cast to date to ensure compatibility regardless of original type
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GROUP BY p.pid, p.sku
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-- No HAVING clause here - we always want to include all orders
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),
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ReceivingData AS (
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SELECT
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r.pid,
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-- Track number of receiving docs to ensure we have real data
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COUNT(DISTINCT r.receiving_id) as receiving_doc_count,
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-- Sum the quantities received on this date
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SUM(r.qty_each) AS units_received,
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-- Calculate the cost received (qty * cost)
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SUM(r.qty_each * r.cost_each) AS cost_received
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FROM public.receivings r
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WHERE r.received_date::date = _target_date
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-- Optional: Filter out canceled receivings if needed
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-- AND r.status <> 'canceled'
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GROUP BY r.pid
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-- Only include products with actual receiving activity
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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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-- 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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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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SELECT DISTINCT pid
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FROM (
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SELECT pid FROM SalesData
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UNION
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SELECT pid FROM ReceivingData
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) a
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)
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-- Now insert records, but ONLY for products with actual activity
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INSERT INTO public.daily_product_snapshots (
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snapshot_date,
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pid,
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sku,
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eod_stock_quantity,
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eod_stock_cost,
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eod_stock_retail,
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eod_stock_gross,
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stockout_flag,
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units_sold,
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units_returned,
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gross_revenue,
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discounts,
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returns_revenue,
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net_revenue,
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cogs,
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gross_regular_revenue,
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profit,
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units_received,
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cost_received,
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calculation_timestamp
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)
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SELECT
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_target_date AS snapshot_date,
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COALESCE(sd.pid, rd.pid) AS pid, -- Use sales or receiving PID
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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_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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-- Sales Metrics (From SalesData)
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COALESCE(sd.units_sold, 0),
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COALESCE(sd.units_returned, 0),
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COALESCE(sd.gross_revenue_unadjusted, 0.00),
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COALESCE(sd.discounts, 0.00),
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COALESCE(sd.returns_revenue, 0.00),
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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.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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_start_time -- Timestamp of this calculation run
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FROM SalesData sd
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FULL OUTER JOIN ReceivingData rd ON sd.pid = rd.pid
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JOIN ProductsWithActivity pwa ON COALESCE(sd.pid, rd.pid) = pwa.pid
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LEFT JOIN public.products p ON COALESCE(sd.pid, rd.pid) = p.pid
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LEFT JOIN CurrentStock cs ON COALESCE(sd.pid, rd.pid) = cs.pid
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WHERE p.pid IS NOT NULL; -- Ensure we only insert for existing products
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-- Get the total number of records inserted for this date
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GET DIAGNOSTICS _total_records = ROW_COUNT;
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RAISE NOTICE 'Created % daily snapshot records for % with sales/receiving activity', _total_records, _target_date;
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END LOOP;
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IF _days_processed = 0 THEN
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RAISE NOTICE 'No days need updating — all snapshot data is current.';
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ELSE
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RAISE NOTICE 'Processed % days total.', _days_processed;
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END IF;
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-- Update the status table with the timestamp from the START of this run
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INSERT INTO public.calculate_status (module_name, last_calculation_timestamp)
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VALUES (_module_name, _start_time)
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ON CONFLICT (module_name) DO UPDATE SET last_calculation_timestamp = _start_time;
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RAISE NOTICE 'Finished % script. Duration: %', _module_name, clock_timestamp() - _start_time;
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END $$;
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-- Return the total records processed for tracking
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SELECT
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COUNT(*) as rows_processed,
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COUNT(DISTINCT snapshot_date) as days_processed,
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MIN(snapshot_date) as earliest_date,
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MAX(snapshot_date) as latest_date,
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SUM(units_sold) as total_units_sold,
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SUM(units_received) as total_units_received
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FROM public.daily_product_snapshots
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WHERE calculation_timestamp >= (NOW() - INTERVAL '5 minutes'); -- Recent updates only |