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Finish fixing calculate scripts

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Matt
2025-03-26 14:22:08 -04:00
parent 749907bd30
commit 8e19e6cd74
7 changed files with 295 additions and 375 deletions
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51
inventory-server/scripts/metrics/category-metrics.js
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@@ -131,7 +131,7 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
AND o.date >= CURRENT_DATE - (COALESCE(tc.calculation_period_days, 30) || ' days')::INTERVAL
GROUP BY pc.cat_id
)
UPDATE category_metrics cm
UPDATE category_metrics
SET
avg_margin = COALESCE(cs.total_margin * 100.0 / NULLIF(cs.total_sales, 0), 0),
turnover_rate = CASE
@@ -144,10 +144,7 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
END,
last_calculated_at = NOW()
FROM category_sales cs
LEFT JOIN turnover_config tc ON
(tc.category_id = cm.category_id AND tc.vendor IS NULL) OR
(tc.category_id IS NULL AND tc.vendor IS NULL)
WHERE cm.category_id = cs.cat_id
WHERE category_id = cs.cat_id
`);
processedCount = Math.floor(totalProducts * 0.95);
@@ -265,6 +262,36 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
WHERE o.canceled = false
AND o.date >= CURRENT_DATE - INTERVAL '3 months'
GROUP BY pc.cat_id
),
combined_metrics AS (
SELECT
COALESCE(cp.cat_id, pp.cat_id) as category_id,
CASE
WHEN pp.revenue = 0 AND COALESCE(cp.revenue, 0) > 0 THEN 100.0
WHEN pp.revenue = 0 OR cp.revenue IS NULL THEN 0.0
WHEN ta.trend_slope IS NOT NULL THEN
GREATEST(
-100.0,
LEAST(
(ta.trend_slope / NULLIF(ta.avg_daily_revenue, 0)) * 365 * 100,
999.99
)
)
ELSE
GREATEST(
-100.0,
LEAST(
((COALESCE(cp.revenue, 0) - pp.revenue) /
NULLIF(ABS(pp.revenue), 0)) * 100.0,
999.99
)
)
END as growth_rate,
mc.avg_margin
FROM current_period cp
FULL OUTER JOIN previous_period pp ON cp.cat_id = pp.cat_id
LEFT JOIN trend_analysis ta ON COALESCE(cp.cat_id, pp.cat_id) = ta.cat_id
LEFT JOIN margin_calc mc ON COALESCE(cp.cat_id, pp.cat_id) = mc.cat_id
)
UPDATE category_metrics cm
SET
@@ -292,10 +319,10 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
avg_margin = COALESCE(mc.avg_margin, cm.avg_margin),
last_calculated_at = NOW()
FROM current_period cp
FULL OUTER JOIN previous_period pp ON cm.category_id = pp.cat_id
LEFT JOIN trend_analysis ta ON cm.category_id = ta.cat_id
LEFT JOIN margin_calc mc ON cm.category_id = mc.cat_id
WHERE cm.category_id = cp.cat_id OR cm.category_id = pp.cat_id
FULL OUTER JOIN previous_period pp ON cp.cat_id = pp.cat_id
LEFT JOIN trend_analysis ta ON COALESCE(cp.cat_id, pp.cat_id) = ta.cat_id
LEFT JOIN margin_calc mc ON COALESCE(cp.cat_id, pp.cat_id) = mc.cat_id
WHERE cm.category_id = COALESCE(cp.cat_id, pp.cat_id)
`);
processedCount = Math.floor(totalProducts * 0.97);
@@ -337,8 +364,8 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
)
SELECT
pc.cat_id,
EXTRACT(YEAR FROM o.date) as year,
EXTRACT(MONTH FROM o.date) as month,
EXTRACT(YEAR FROM o.date::timestamp with time zone) as year,
EXTRACT(MONTH FROM o.date::timestamp with time zone) as month,
COUNT(DISTINCT p.pid) as product_count,
COUNT(DISTINCT CASE WHEN p.visible = true THEN p.pid END) as active_products,
SUM(p.stock_quantity * p.cost_price) as total_value,
@@ -367,7 +394,7 @@ async function calculateCategoryMetrics(startTime, totalProducts, processedCount
JOIN orders o ON p.pid = o.pid
WHERE o.canceled = false
AND o.date >= CURRENT_DATE - INTERVAL '12 months'
GROUP BY pc.cat_id, EXTRACT(YEAR FROM o.date), EXTRACT(MONTH FROM o.date)
GROUP BY pc.cat_id, EXTRACT(YEAR FROM o.date::timestamp with time zone), EXTRACT(MONTH FROM o.date::timestamp with time zone)
ON CONFLICT (category_id, year, month) DO UPDATE
SET
product_count = EXCLUDED.product_count,