Fix calculate script regressions
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@@ -102,9 +102,18 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount, i
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SUM(p.valid_stock * p.price) as total_stock_retail,
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COALESCE(SUM(o.quantity * (o.price - COALESCE(o.discount, 0))), 0) as total_revenue,
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CASE
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WHEN SUM(o.quantity * (o.price - COALESCE(o.discount, 0))) > 0
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THEN (SUM(o.quantity * (o.price - COALESCE(o.discount, 0) - p.cost_price)) * 100.0) /
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SUM(o.quantity * (o.price - COALESCE(o.discount, 0)))
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WHEN SUM(o.quantity * o.price) > 0
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THEN GREATEST(
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-100.0,
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LEAST(
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100.0,
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(
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SUM(o.quantity * o.price) - -- Use gross revenue (before discounts)
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SUM(o.quantity * COALESCE(p.cost_price, 0)) -- Total costs
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) * 100.0 /
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NULLIF(SUM(o.quantity * o.price), 0) -- Divide by gross revenue
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)
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)
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ELSE 0
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END as avg_margin
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FROM filtered_products p
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@@ -209,8 +218,18 @@ async function calculateBrandMetrics(startTime, totalProducts, processedCount, i
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SUM(p.valid_stock * p.price) as total_stock_retail,
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SUM(o.quantity * o.price) as total_revenue,
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CASE
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WHEN SUM(o.quantity * o.price) > 0 THEN
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(SUM((o.price - p.cost_price) * o.quantity) * 100.0) / SUM(o.price * o.quantity)
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WHEN SUM(o.quantity * o.price) > 0
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THEN GREATEST(
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-100.0,
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LEAST(
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100.0,
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(
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SUM(o.quantity * o.price) - -- Use gross revenue (before discounts)
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SUM(o.quantity * COALESCE(p.cost_price, 0)) -- Total costs
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) * 100.0 /
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NULLIF(SUM(o.quantity * o.price), 0) -- Divide by gross revenue
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)
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)
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ELSE 0
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END as avg_margin
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FROM filtered_products p
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