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Update calculate script to account for import changes

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This commit is contained in:
Matt
2025-01-27 10:41:18 -05:00
parent 44d9ae2aad
commit 5781b45f37
10 changed files with 508 additions and 297 deletions
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18
inventory-server/scripts/metrics/sales-forecasts.js
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@@ -18,7 +18,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
// Calculate product-level forecasts
await connection.query(`
INSERT INTO sales_forecasts (
product_id,
pid,
forecast_date,
forecast_units,
forecast_revenue,
@@ -27,14 +27,14 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
)
WITH daily_sales AS (
SELECT
o.product_id,
o.pid,
DATE(o.date) as sale_date,
SUM(o.quantity) as daily_quantity,
SUM(o.price * o.quantity) as daily_revenue
FROM orders o
WHERE o.canceled = false
AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 90 DAY)
GROUP BY o.product_id, DATE(o.date)
GROUP BY o.pid, DATE(o.date)
),
forecast_dates AS (
SELECT
@@ -51,7 +51,7 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
),
product_stats AS (
SELECT
ds.product_id,
ds.pid,
AVG(ds.daily_quantity) as avg_daily_quantity,
STDDEV_SAMP(ds.daily_quantity) as std_daily_quantity,
AVG(ds.daily_revenue) as avg_daily_revenue,
@@ -66,10 +66,10 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 6 THEN ds.daily_revenue END) as friday_avg,
AVG(CASE WHEN DAYOFWEEK(ds.sale_date) = 7 THEN ds.daily_revenue END) as saturday_avg
FROM daily_sales ds
GROUP BY ds.product_id
GROUP BY ds.pid
)
SELECT
ps.product_id,
ps.pid,
fd.forecast_date,
GREATEST(0,
ps.avg_daily_quantity *
@@ -130,15 +130,15 @@ async function calculateSalesForecasts(startTime, totalProducts, processedCount)
)
WITH category_daily_sales AS (
SELECT
pc.category_id,
pc.cat_id as category_id,
DATE(o.date) as sale_date,
SUM(o.quantity) as daily_quantity,
SUM(o.price * o.quantity) as daily_revenue
FROM orders o
JOIN product_categories pc ON o.product_id = pc.product_id
JOIN product_categories pc ON o.pid = pc.pid
WHERE o.canceled = false
AND o.date >= DATE_SUB(CURRENT_DATE, INTERVAL 90 DAY)
GROUP BY pc.category_id, DATE(o.date)
GROUP BY pc.cat_id, DATE(o.date)
),
forecast_dates AS (
SELECT