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Fix product performance grouped JSON build

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This commit is contained in:
M_Kececi
2026-07-05 22:06:43 +03:00
parent fbdde54eee
commit 9e1ecb9b3f
5 changed files with 766 additions and 564 deletions
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svc/queries/product_performance_sql.go
+58 -20
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@@ -76,16 +76,19 @@ func productPerformanceSalesSQL() string {
), SPACE(0)))
END,
Qty1 = ISNULL(I.Qty1, 0),
TLAmount = ISNULL(I.Doc_Amount, 0) * ISNULL(I.Loc_ExchangeRate, 0),
USDAmount = (ISNULL(I.Doc_Amount, 0) * ISNULL(I.Loc_ExchangeRate, 0)) / ISNULL((
SELECT TOP 1 Rate
FROM AllExchangeRates WITH(NOLOCK)
WHERE CurrencyCode = 'USD'
AND RelationCurrencyCode = 'TRY'
AND ExchangeTypeCode = 6
AND Rate > 1
ORDER BY ABS(DATEDIFF(DAY, AllExchangeRates.Date, I.InvoiceDate)) ASC
), 1),
TLAmount = CASE
WHEN Amount.DocCurrencyCode = 'TRY' THEN Amount.DocNetAmount
WHEN CurRate.Rate > 0 THEN Amount.DocNetAmount * CurRate.Rate
WHEN ISNULL(I.Loc_ExchangeRate, 0) > 0 THEN Amount.DocNetAmount * I.Loc_ExchangeRate
ELSE 0
END,
USDAmount = CASE
WHEN Amount.DocCurrencyCode = 'USD' THEN Amount.DocNetAmount
WHEN Amount.DocCurrencyCode = 'TRY' AND UsdRate.Rate > 0 THEN Amount.DocNetAmount / UsdRate.Rate
WHEN CurRate.Rate > 0 AND UsdRate.Rate > 0 THEN (Amount.DocNetAmount * CurRate.Rate) / UsdRate.Rate
WHEN ISNULL(I.Loc_ExchangeRate, 0) > 0 AND UsdRate.Rate > 0 THEN (Amount.DocNetAmount * I.Loc_ExchangeRate) / UsdRate.Rate
ELSE 0
END,
RN = ROW_NUMBER() OVER (
PARTITION BY I.InvoiceLineID
ORDER BY I.InvoiceDate DESC, I.InvoiceNumber
@@ -96,6 +99,39 @@ func productPerformanceSalesSQL() string {
AND CAF.CurrAccCode = I.CurrAccCode
LEFT OUTER JOIN ProductAttributesFilter PAF WITH(NOLOCK)
ON PAF.ItemCode = I.ItemCode
LEFT OUTER JOIN dbo.trInvoiceLineCurrency ILC WITH(NOLOCK)
ON ILC.InvoiceLineID = I.InvoiceLineID
AND UPPER(LTRIM(RTRIM(ILC.CurrencyCode))) = UPPER(LTRIM(RTRIM(ISNULL(NULLIF(LTRIM(RTRIM(I.Doc_CurrencyCode)), ''), 'TRY'))))
OUTER APPLY (
SELECT
DocCurrencyCode = UPPER(LTRIM(RTRIM(ISNULL(NULLIF(LTRIM(RTRIM(I.Doc_CurrencyCode)), ''), ISNULL(NULLIF(LTRIM(RTRIM(ILC.CurrencyCode)), ''), 'TRY'))))),
DocNetAmount = COALESCE(
NULLIF(ISNULL(ILC.NetAmount, 0), 0),
NULLIF(ISNULL(I.Doc_Amount, 0), 0),
NULLIF(ISNULL(I.Doc_Price, 0) * ISNULL(I.Qty1, 0), 0),
0
)
) Amount
OUTER APPLY (
SELECT TOP 1 Rate
FROM AllExchangeRates WITH(NOLOCK)
WHERE CurrencyCode = 'USD'
AND RelationCurrencyCode = 'TRY'
AND ExchangeTypeCode = 6
AND Rate > 0
AND Date <= CAST(I.InvoiceDate AS date)
ORDER BY Date DESC
) UsdRate
OUTER APPLY (
SELECT TOP 1 Rate
FROM AllExchangeRates WITH(NOLOCK)
WHERE CurrencyCode = Amount.DocCurrencyCode
AND RelationCurrencyCode = 'TRY'
AND ExchangeTypeCode = 6
AND Rate > 0
AND Date <= CAST(I.InvoiceDate AS date)
ORDER BY Date DESC
) CurRate
WHERE I.InvoiceDate >= @p1
AND I.InvoiceDate < DATEADD(DAY, 1, @p2)
AND I.ItemTypeCode = 1
@@ -449,7 +485,7 @@ SalesAgg AS (
SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days') AS sales_usd_180d,
SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '359 days') AS sales_usd_365d,
SUM(sales_usd) FILTER (WHERE sales_date >= DATE '2022-01-01') AS sales_usd_total,
COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS customer_count_90d,
COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days' AND COALESCE(sales_usd, 0) > 0) AS customer_count_90d,
MAX(sales_date) AS last_sale_date,
MAX(last_ref_number) AS last_ref_number
FROM mk_product_performance_sales_daily
@@ -566,9 +602,9 @@ Spread AS (
product_code,
color_code,
yaka_kodu,
COUNT(DISTINCT market_key) AS market_count_90d
COUNT(DISTINCT NULLIF(NULLIF(market_key, 'STOK'), '')) AS market_count_90d
FROM SalesAgg
WHERE COALESCE(sales_qty_90d, 0) > 0
WHERE COALESCE(sales_usd_90d, 0) > 0
GROUP BY product_code, color_code, yaka_kodu
),
Market AS (
@@ -622,13 +658,15 @@ SELECT
COALESCE(gross_profit_usd_90d, 0), COALESCE(gross_profit_usd_180d, 0), COALESCE(gross_margin_90d, 0), COALESCE(gross_margin_180d, 0),
COALESCE(unit_profit_cost_90d, 0), COALESCE(unit_profit_cost_180d, 0), COALESCE(unit_profit_base_90d, 0), COALESCE(unit_profit_base_180d, 0), COALESCE(market_count_90d, 0), COALESCE(customer_count_90d, 0),
COALESCE(sales_index_90d, 0), COALESCE(price_index_90d, 0), COALESCE(margin_index_90d, 0),
ROUND(
LEAST(35, COALESCE(sales_index_90d, 0) * 18)
+ LEAST(25, GREATEST(COALESCE(gross_margin_90d, 0), 0) * 50)
+ LEAST(20, COALESCE(customer_count_90d, 0) * 2)
+ LEAST(10, COALESCE(market_count_90d, 0) * 3)
+ CASE WHEN COALESCE(stock_days_90d, 0) BETWEEN 10 AND 90 THEN 10 WHEN COALESCE(stock_days_90d, 0) > 180 THEN -10 ELSE 0 END
, 4) AS performance_score,
CASE WHEN COALESCE(sales_usd_90d, 0) <= 0 THEN 1 ELSE
ROUND(
LEAST(35, COALESCE(sales_index_90d, 0) * 18)
+ LEAST(25, GREATEST(COALESCE(gross_margin_90d, 0), 0) * 50)
+ LEAST(20, COALESCE(customer_count_90d, 0) * 2)
+ LEAST(10, COALESCE(market_count_90d, 0) * 3)
+ CASE WHEN COALESCE(stock_days_90d, 0) BETWEEN 10 AND 90 THEN 10 WHEN COALESCE(stock_days_90d, 0) > 180 THEN -10 ELSE 0 END
, 4)
END AS performance_score,
CASE
WHEN COALESCE(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.25 THEN 'YILDIZ_URUN'
WHEN COALESCE(stock_qty,0) <= 0 AND COALESCE(sales_qty_90d,0) > 0 THEN 'STOKSUZ_TALEP'