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Fix product performance grouped JSON build

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M_Kececi
2026-07-07 12:59:19 +03:00
parent 005d2eafac
commit c6a3d1552e
4 changed files with 256 additions and 66 deletions
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svc/queries/product_performance_sql.go
+61 -15
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@@ -489,6 +489,10 @@ SalesAgg AS (
COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days' AND COALESCE(sales_usd, 0) > 0) AS customer_count_180d,
COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '359 days' AND COALESCE(sales_usd, 0) > 0) AS customer_count_365d,
COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= DATE '2022-01-01' AND COALESCE(sales_usd, 0) > 0) AS customer_count_total,
MIN(sales_date) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS first_sale_date_90d,
MIN(sales_date) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days') AS first_sale_date_180d,
MIN(sales_date) FILTER (WHERE sales_date >= $1::date - INTERVAL '359 days') AS first_sale_date_365d,
MIN(sales_date) FILTER (WHERE sales_date >= DATE '2022-01-01') AS first_sale_date_total,
MAX(sales_date) AS last_sale_date,
MAX(last_ref_number) AS last_ref_number
FROM mk_product_performance_sales_daily
@@ -503,7 +507,9 @@ Scope AS (
item_description, kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu,
sales_qty_30d, sales_qty_90d, sales_qty_180d, sales_qty_365d, sales_qty_730d, sales_qty_total,
sales_usd_30d, sales_usd_90d, sales_usd_180d, sales_usd_365d, sales_usd_total,
customer_count_90d, customer_count_180d, customer_count_365d, customer_count_total, last_sale_date, last_ref_number
customer_count_90d, customer_count_180d, customer_count_365d, customer_count_total,
first_sale_date_90d, first_sale_date_180d, first_sale_date_365d, first_sale_date_total,
last_sale_date, last_ref_number
FROM SalesAgg
UNION ALL
SELECT
@@ -534,6 +540,10 @@ Scope AS (
0 AS customer_count_180d,
0 AS customer_count_365d,
0 AS customer_count_total,
NULL::date AS first_sale_date_90d,
NULL::date AS first_sale_date_180d,
NULL::date AS first_sale_date_365d,
NULL::date AS first_sale_date_total,
NULL::date AS last_sale_date,
'' AS last_ref_number
FROM LatestStock ls
@@ -576,10 +586,10 @@ Base AS (
COALESCE(s.sales_qty_180d, 0) / 180.0 AS avg_daily_sales_180d,
COALESCE(s.sales_qty_365d, 0) / 360.0 AS avg_daily_sales_365d,
COALESCE(s.sales_qty_total, 0) / GREATEST(1, ($1::date - DATE '2022-01-01') + 1) AS avg_daily_sales_total,
(COALESCE(s90.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_90d,
(COALESCE(s180.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_180d,
(COALESCE(s365.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_365d,
(COALESCE(stotal.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_total,
(COALESCE(s90.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_90d,
(COALESCE(s180.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_180d,
(COALESCE(s365.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_365d,
(COALESCE(stotal.stock_qty, ls.stock_qty, 0) + COALESCE(ls.stock_qty, 0)) / 2.0 AS avg_stock_total,
CASE WHEN COALESCE(s.sales_qty_90d, 0) = 0 THEN 0 ELSE COALESCE(s.sales_usd_90d, 0) / NULLIF(s.sales_qty_90d, 0) END AS avg_price_usd_90d,
CASE WHEN COALESCE(s.sales_qty_180d, 0) = 0 THEN 0 ELSE COALESCE(s.sales_usd_180d, 0) / NULLIF(s.sales_qty_180d, 0) END AS avg_price_usd_180d,
COALESCE(s.sales_usd_90d, 0) - (COALESCE(s.sales_qty_90d, 0) * COALESCE(pd.cost_price_usd, 0)) AS gross_profit_usd_90d,
@@ -596,11 +606,47 @@ Base AS (
CASE WHEN COALESCE(s.sales_qty_180d, 0) = 0 THEN 0 ELSE (COALESCE(s.sales_usd_180d, 0) / NULLIF(s.sales_qty_180d, 0)) - COALESCE(pd.base_price_usd, 0) END AS unit_profit_base_180d
FROM Scope s
LEFT JOIN LatestStock ls ON ls.product_code=s.product_code AND ls.color_code=s.color_code AND ls.yaka_kodu=s.yaka_kodu
LEFT JOIN Stock90Start s90 ON s90.product_code=s.product_code AND s90.color_code=s.color_code AND s90.yaka_kodu=s.yaka_kodu
LEFT JOIN Stock180Start s180 ON s180.product_code=s.product_code AND s180.color_code=s.color_code AND s180.yaka_kodu=s.yaka_kodu
LEFT JOIN Stock365Start s365 ON s365.product_code=s.product_code AND s365.color_code=s.color_code AND s365.yaka_kodu=s.yaka_kodu
LEFT JOIN StockTotalStart stotal ON stotal.product_code=s.product_code AND stotal.color_code=s.color_code AND stotal.yaka_kodu=s.yaka_kodu
LEFT JOIN PriceDim pd ON pd.product_code=s.product_code
LEFT JOIN LATERAL (
SELECT x.stock_qty
FROM mk_product_performance_stock_daily x
WHERE x.product_code=s.product_code
AND x.color_code=s.color_code
AND x.yaka_kodu=s.yaka_kodu
AND x.stock_date <= COALESCE(s.first_sale_date_90d, $1::date - INTERVAL '89 days')
ORDER BY x.stock_date DESC
LIMIT 1
) s90 ON TRUE
LEFT JOIN LATERAL (
SELECT x.stock_qty
FROM mk_product_performance_stock_daily x
WHERE x.product_code=s.product_code
AND x.color_code=s.color_code
AND x.yaka_kodu=s.yaka_kodu
AND x.stock_date <= COALESCE(s.first_sale_date_180d, $1::date - INTERVAL '179 days')
ORDER BY x.stock_date DESC
LIMIT 1
) s180 ON TRUE
LEFT JOIN LATERAL (
SELECT x.stock_qty
FROM mk_product_performance_stock_daily x
WHERE x.product_code=s.product_code
AND x.color_code=s.color_code
AND x.yaka_kodu=s.yaka_kodu
AND x.stock_date <= COALESCE(s.first_sale_date_365d, $1::date - INTERVAL '359 days')
ORDER BY x.stock_date DESC
LIMIT 1
) s365 ON TRUE
LEFT JOIN LATERAL (
SELECT x.stock_qty
FROM mk_product_performance_stock_daily x
WHERE x.product_code=s.product_code
AND x.color_code=s.color_code
AND x.yaka_kodu=s.yaka_kodu
AND x.stock_date <= COALESCE(s.first_sale_date_total, DATE '2022-01-01')
ORDER BY x.stock_date DESC
LIMIT 1
) stotal ON TRUE
WHERE upper(translate(btrim(COALESCE(NULLIF(s.urun_ilk_grubu,''), pd.urun_ilk_grubu, '')), U&'\0130\015E\011E\00DC\00D6\00C7\0131\015F\011F\00FC\00F6\00E7', 'ISGUOCisguoc')) NOT IN ('MALZEMELI FASON', 'MALZEMESIZ FASON', 'MAZLEMELI FASON', 'MAZEMESIZ FASON', 'DIGER')
),
Spread AS (
@@ -683,15 +729,15 @@ SELECT
COALESCE(sales_index_90d, 0), COALESCE(sales_index_180d, 0), COALESCE(sales_index_365d, 0), COALESCE(sales_index_total, 0), COALESCE(price_index_90d, 0), COALESCE(margin_index_90d, 0),
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)
LEAST(30, GREATEST(COALESCE(gross_margin_90d, 0), 0) / 0.45 * 30)
+ LEAST(20, COALESCE(stock_turnover_90d, 0) / 4.0 * 20)
+ LEAST(20, COALESCE(sales_usd_90d, 0) / 25000.0 * 20)
+ LEAST(5, COALESCE(market_count_90d, 0) / 3.0 * 5)
+ LEAST(25, COALESCE(customer_count_90d, 0) / 8.0 * 25)
, 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(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.45 THEN 'YILDIZ_URUN'
WHEN COALESCE(stock_qty,0) <= 0 AND COALESCE(sales_qty_90d,0) > 0 THEN 'STOKSUZ_TALEP'
WHEN COALESCE(stock_days_90d,0) > 180 AND COALESCE(sales_index_90d,0) < 0.75 THEN 'STOK_RISKI'
WHEN COALESCE(price_index_90d,0) > 1.10 AND COALESCE(sales_index_90d,0) < 0.80 THEN 'FIYAT_BASKISI'
@@ -699,7 +745,7 @@ SELECT
ELSE 'TAKIP'
END AS performance_bucket,
CASE
WHEN COALESCE(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.25 THEN 'Piyasa ustu satis ve iyi marj: stok ve fiyat gucu takip edilmeli.'
WHEN COALESCE(sales_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.45 THEN 'Piyasa ustu satis ve iyi marj: stok ve fiyat gucu takip edilmeli.'
WHEN COALESCE(stock_qty,0) <= 0 AND COALESCE(sales_qty_90d,0) > 0 THEN 'Talep var, stok yok: uretim/satin alma planina alinmali.'
WHEN COALESCE(stock_days_90d,0) > 180 AND COALESCE(sales_index_90d,0) < 0.75 THEN 'Stok yuksek, satis piyasa alti: kampanya veya fiyat kontrolu gerekli.'
WHEN COALESCE(price_index_90d,0) > 1.10 AND COALESCE(sales_index_90d,0) < 0.80 THEN 'Fiyat piyasa ustunde ve satis zayif: fiyat revizyonu degerlendirilmeli.'