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Fix (probably) discrepancies and errors in import/calculate scripts

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Matt
2025-02-02 00:01:46 -05:00
parent bd5bcdd548
commit 8a43da502a
10 changed files with 423 additions and 218 deletions
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49
inventory-server/scripts/metrics/category-metrics.js
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@@ -151,7 +151,9 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
WITH current_period AS (
SELECT
pc.cat_id,
SUM(o.quantity * o.price / (1 + COALESCE(ss.seasonality_factor, 0))) as revenue
SUM(o.quantity * (o.price - COALESCE(o.discount, 0)) /
(1 + COALESCE(ss.seasonality_factor, 0))) as revenue,
COUNT(DISTINCT DATE(o.date)) as days
FROM product_categories pc
JOIN products p ON pc.pid = p.pid
JOIN orders o ON p.pid = o.pid
@@ -163,7 +165,9 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
previous_period AS (
SELECT
pc.cat_id,
SUM(o.quantity * o.price / (1 + COALESCE(ss.seasonality_factor, 0))) as revenue
SUM(o.quantity * (o.price - COALESCE(o.discount, 0)) /
(1 + COALESCE(ss.seasonality_factor, 0))) as revenue,
COUNT(DISTINCT DATE(o.date)) as days
FROM product_categories pc
JOIN products p ON pc.pid = p.pid
JOIN orders o ON p.pid = o.pid
@@ -177,7 +181,8 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
SELECT
pc.cat_id,
MONTH(o.date) as month,
SUM(o.quantity * o.price / (1 + COALESCE(ss.seasonality_factor, 0))) as revenue,
SUM(o.quantity * (o.price - COALESCE(o.discount, 0)) /
(1 + COALESCE(ss.seasonality_factor, 0))) as revenue,
COUNT(DISTINCT DATE(o.date)) as days_in_month
FROM product_categories pc
JOIN products p ON pc.pid = p.pid
@@ -192,8 +197,8 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
cat_id,
COUNT(*) as n,
AVG(month) as avg_x,
AVG(revenue / days_in_month) as avg_y,
SUM(month * (revenue / days_in_month)) as sum_xy,
AVG(revenue / NULLIF(days_in_month, 0)) as avg_y,
SUM(month * (revenue / NULLIF(days_in_month, 0))) as sum_xy,
SUM(month * month) as sum_xx
FROM trend_data
GROUP BY cat_id
@@ -202,7 +207,8 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
trend_analysis AS (
SELECT
cat_id,
((n * sum_xy) - (avg_x * n * avg_y)) / ((n * sum_xx) - (n * avg_x * avg_x)) as trend_slope,
((n * sum_xy) - (avg_x * n * avg_y)) /
NULLIF((n * sum_xx) - (n * avg_x * avg_x), 0) as trend_slope,
avg_y as avg_daily_revenue
FROM trend_stats
)
@@ -213,24 +219,31 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
SET
cm.growth_rate = CASE
WHEN pp.revenue = 0 AND COALESCE(cp.revenue, 0) > 0 THEN 100.0
WHEN pp.revenue = 0 THEN 0.0
WHEN pp.revenue = 0 OR cp.revenue IS NULL THEN 0.0
WHEN ta.trend_slope IS NOT NULL THEN
LEAST(
GREATEST(
GREATEST(
-100.0,
LEAST(
(ta.trend_slope / NULLIF(ta.avg_daily_revenue, 0)) * 365 * 100,
-100.0
),
999.99
999.99
)
)
ELSE
LEAST(
GREATEST(
((COALESCE(cp.revenue, 0) - pp.revenue) / pp.revenue) * 100.0,
-100.0
),
999.99
GREATEST(
-100.0,
LEAST(
((COALESCE(cp.revenue, 0) - pp.revenue) /
NULLIF(ABS(pp.revenue), 0)) * 100.0,
999.99
)
)
END,
cm.avg_margin = CASE
WHEN cp.revenue > 0 THEN
(SUM(o.quantity * (o.price - COALESCE(o.discount, 0) - p.cost_price)) /
NULLIF(SUM(o.quantity * (o.price - COALESCE(o.discount, 0))), 0)) * 100
ELSE cm.avg_margin
END,
cm.last_calculated_at = NOW()
WHERE cp.cat_id IS NOT NULL OR pp.cat_id IS NOT NULL
`);