ui: add B2B olmayan stok (orphans) page
This commit is contained in:
M_Kececi
@@ -18,6 +18,8 @@ type ProductPerformanceFilters struct {
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Kategori string
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Seri string
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Bucket string
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SortBy string
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Descending bool
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Limit int
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Page int
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}
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@@ -149,19 +151,31 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_kpi_daily (
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stock_qty NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_qty_30d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_qty_90d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_qty_180d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_qty_365d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_qty_730d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_usd_30d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_usd_90d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_usd_180d NUMERIC(18,4) NOT NULL DEFAULT 0,
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sales_usd_365d NUMERIC(18,4) NOT NULL DEFAULT 0,
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avg_daily_sales_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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avg_daily_sales_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
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stock_days_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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stock_days_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
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avg_price_usd_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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avg_price_usd_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
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cost_price_usd NUMERIC(18,6) NOT NULL DEFAULT 0,
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base_price_usd NUMERIC(18,6) NOT NULL DEFAULT 0,
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base_price_try NUMERIC(18,6) NOT NULL DEFAULT 0,
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gross_profit_usd_90d NUMERIC(18,4) NOT NULL DEFAULT 0,
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gross_profit_usd_180d NUMERIC(18,4) NOT NULL DEFAULT 0,
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gross_margin_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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gross_margin_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
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unit_profit_cost_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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unit_profit_cost_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
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unit_profit_base_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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unit_profit_base_180d NUMERIC(18,6) NOT NULL DEFAULT 0,
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market_count_90d INTEGER NOT NULL DEFAULT 0,
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customer_count_90d INTEGER NOT NULL DEFAULT 0,
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sales_index_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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price_index_90d NUMERIC(18,6) NOT NULL DEFAULT 0,
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@@ -181,6 +195,18 @@ CREATE TABLE IF NOT EXISTS mk_product_performance_kpi_daily (
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS urun_ilk_grubu TEXT NOT NULL DEFAULT ''`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS urun_ana_grubu TEXT NOT NULL DEFAULT ''`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS urun_alt_grubu TEXT NOT NULL DEFAULT ''`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS sales_qty_180d NUMERIC(18,4) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS sales_usd_180d NUMERIC(18,4) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_daily_sales_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS stock_days_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS avg_price_usd_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS gross_profit_usd_180d NUMERIC(18,4) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS gross_margin_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS unit_profit_cost_90d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS unit_profit_cost_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS unit_profit_base_90d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS unit_profit_base_180d NUMERIC(18,6) NOT NULL DEFAULT 0`,
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`ALTER TABLE mk_product_performance_kpi_daily ADD COLUMN IF NOT EXISTS market_count_90d INTEGER NOT NULL DEFAULT 0`,
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}
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for _, stmt := range stmts {
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if _, err := pg.Exec(stmt); err != nil {
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@@ -631,20 +657,22 @@ func ListProductPerformance(ctx context.Context, pg *sql.DB, f ProductPerformanc
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return nil, 0, err
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}
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args = append(args, limit, (page-1)*limit)
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orderBy := productPerformanceOrderBy(f.SortBy, f.Descending)
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rows, err := pg.QueryContext(ctx, `
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SELECT
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to_char(kpi_date,'YYYY-MM-DD'), product_code, color_code, yaka_kodu, item_description,
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kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu, market_key, stock_qty,
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sales_qty_30d, sales_qty_90d, sales_qty_365d, sales_qty_730d,
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sales_usd_30d, sales_usd_90d, sales_usd_365d, avg_daily_sales_90d,
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stock_days_90d, avg_price_usd_90d, cost_price_usd, base_price_usd, base_price_try,
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gross_profit_usd_90d, gross_margin_90d, customer_count_90d, sales_index_90d,
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sales_qty_30d, sales_qty_90d, sales_qty_180d, sales_qty_365d, sales_qty_730d,
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sales_usd_30d, sales_usd_90d, sales_usd_180d, sales_usd_365d, avg_daily_sales_90d, avg_daily_sales_180d,
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stock_days_90d, stock_days_180d, avg_price_usd_90d, avg_price_usd_180d, cost_price_usd, base_price_usd, base_price_try,
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gross_profit_usd_90d, gross_profit_usd_180d, gross_margin_90d, gross_margin_180d,
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unit_profit_cost_90d, unit_profit_cost_180d, unit_profit_base_90d, unit_profit_base_180d, market_count_90d, customer_count_90d, sales_index_90d,
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price_index_90d, margin_index_90d, performance_score, performance_bucket,
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recommendation, COALESCE(to_char(last_sale_date,'YYYY-MM-DD'),''), last_ref_number,
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to_char(updated_at,'YYYY-MM-DD HH24:MI:SS')
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FROM mk_product_performance_kpi_daily
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WHERE kpi_date = (SELECT MAX(kpi_date) FROM mk_product_performance_kpi_daily)`+where+`
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ORDER BY performance_score DESC, sales_qty_90d DESC, product_code
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ORDER BY `+orderBy+`
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LIMIT $`+fmt.Sprint(len(args)-1)+` OFFSET $`+fmt.Sprint(len(args)), args...)
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if err != nil {
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return nil, 0, err
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@@ -656,10 +684,11 @@ LIMIT $`+fmt.Sprint(len(args)-1)+` OFFSET $`+fmt.Sprint(len(args)), args...)
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if err := rows.Scan(
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&r.KpiDate, &r.ProductCode, &r.ColorCode, &r.YakaKodu, &r.ItemDescription,
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&r.Kategori, &r.Seri, &r.YasGrubu, &r.AskiliYan, &r.UrunIlkGrubu, &r.UrunAnaGrubu, &r.UrunAltGrubu, &r.MarketKey, &r.StockQty,
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&r.SalesQty30, &r.SalesQty90, &r.SalesQty365, &r.SalesQty730,
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&r.SalesUSD30, &r.SalesUSD90, &r.SalesUSD365, &r.AvgDailySales90,
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&r.StockDays90, &r.AvgPriceUSD90, &r.CostPriceUSD, &r.BasePriceUSD, &r.BasePriceTRY,
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&r.GrossProfitUSD90, &r.GrossMargin90, &r.CustomerCount90, &r.SalesIndex90,
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&r.SalesQty30, &r.SalesQty90, &r.SalesQty180, &r.SalesQty365, &r.SalesQty730,
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&r.SalesUSD30, &r.SalesUSD90, &r.SalesUSD180, &r.SalesUSD365, &r.AvgDailySales90, &r.AvgDailySales180,
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&r.StockDays90, &r.StockDays180, &r.AvgPriceUSD90, &r.AvgPriceUSD180, &r.CostPriceUSD, &r.BasePriceUSD, &r.BasePriceTRY,
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&r.GrossProfitUSD90, &r.GrossProfitUSD180, &r.GrossMargin90, &r.GrossMargin180,
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&r.UnitProfitCost90, &r.UnitProfitCost180, &r.UnitProfitBase90, &r.UnitProfitBase180, &r.MarketCount90, &r.CustomerCount90, &r.SalesIndex90,
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&r.PriceIndex90, &r.MarginIndex90, &r.PerformanceScore, &r.PerformanceBucket,
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&r.Recommendation, &r.LastSaleDate, &r.LastRefNumber, &r.UpdatedAt,
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); err != nil {
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@@ -676,6 +705,22 @@ func GetProductPerformanceSummary(ctx context.Context, pg *sql.DB) (models.Produ
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}
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var s models.ProductPerformanceSummary
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err := pg.QueryRowContext(ctx, `
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WITH Latest AS (
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SELECT MAX(kpi_date) AS kpi_date
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FROM mk_product_performance_kpi_daily
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),
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KPI AS (
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SELECT *
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FROM mk_product_performance_kpi_daily
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WHERE kpi_date = (SELECT kpi_date FROM Latest)
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),
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Sales90 AS (
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SELECT
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COUNT(DISTINCT market_key) AS market_count_90d,
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COUNT(DISTINCT NULLIF(customer_code, '-')) AS customer_count_90d
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FROM mk_product_performance_sales_daily
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WHERE sales_date BETWEEN (SELECT kpi_date FROM Latest) - INTERVAL '89 days' AND (SELECT kpi_date FROM Latest)
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)
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SELECT
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COALESCE(to_char(MAX(kpi_date),'YYYY-MM-DD'),''),
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COUNT(*),
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@@ -688,10 +733,12 @@ SELECT
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COALESCE(SUM(sales_qty_90d),0),
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COALESCE(SUM(sales_usd_90d),0),
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COALESCE(SUM(gross_profit_usd_90d),0),
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COALESCE(MAX(Sales90.market_count_90d),0)::integer,
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COALESCE(MAX(Sales90.customer_count_90d),0)::integer,
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COALESCE(to_char(MAX(updated_at),'YYYY-MM-DD HH24:MI:SS'),'')
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FROM mk_product_performance_kpi_daily
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WHERE kpi_date = (SELECT MAX(kpi_date) FROM mk_product_performance_kpi_daily)
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`).Scan(&s.KpiDate, &s.TotalRows, &s.StarCount, &s.StockRisk, &s.NoStockDemand, &s.TotalStock, &s.StockCostUSD, &s.RiskCostUSD, &s.SalesQty90, &s.SalesUSD90, &s.GrossProfit90, &s.UpdatedAt)
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FROM KPI
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CROSS JOIN Sales90
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`).Scan(&s.KpiDate, &s.TotalRows, &s.StarCount, &s.StockRisk, &s.NoStockDemand, &s.TotalStock, &s.StockCostUSD, &s.RiskCostUSD, &s.SalesQty90, &s.SalesUSD90, &s.GrossProfit90, &s.MarketCount90, &s.CustomerCount90, &s.UpdatedAt)
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return s, err
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}
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@@ -879,6 +926,76 @@ LIMIT $1
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return out, rows.Err()
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}
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func ListProductPerformanceSalesDetails(ctx context.Context, pg *sql.DB, productCode, colorCode, yakaKodu string, limit int) ([]models.ProductPerformanceSalesDetailRow, error) {
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if limit <= 0 || limit > 500 {
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limit = 100
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}
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rows, err := pg.QueryContext(ctx, `
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SELECT
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to_char(sales_date,'YYYY-MM-DD') AS sales_date,
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last_ref_number,
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market_key,
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customer_country,
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customer_segment,
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customer_code,
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customer_name,
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sales_qty,
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sales_usd,
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avg_price_usd
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FROM mk_product_performance_sales_daily
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WHERE product_code=$1
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AND color_code=$2
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AND yaka_kodu=$3
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ORDER BY sales_date DESC, sales_usd DESC
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LIMIT $4
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`, strings.TrimSpace(productCode), strings.TrimSpace(colorCode), strings.TrimSpace(yakaKodu), limit)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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out := make([]models.ProductPerformanceSalesDetailRow, 0, limit)
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for rows.Next() {
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var r models.ProductPerformanceSalesDetailRow
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if err := rows.Scan(&r.SalesDate, &r.RefNumber, &r.MarketKey, &r.Country, &r.CustomerSegment, &r.CustomerCode, &r.CustomerName, &r.SalesQty, &r.SalesUSD, &r.AvgPriceUSD); err != nil {
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return nil, err
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}
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out = append(out, r)
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}
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return out, rows.Err()
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}
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func ListProductPerformanceStockSizes(ctx context.Context, productCode, colorCode, yakaKodu string) ([]models.ProductPerformanceStockSizeRow, error) {
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if db.MssqlDB == nil {
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return nil, fmt.Errorf("mssql db nil")
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}
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rows, err := db.MssqlDB.QueryContext(ctx, `
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SELECT
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SizeCode = LTRIM(RTRIM(ISNULL(S.ItemDim1Code, ''))),
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StockQty = SUM(S.InventoryQty1)
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FROM StockWithCost S WITH(NOLOCK)
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WHERE S.ItemTypeCode = 1
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AND LTRIM(RTRIM(S.ItemCode)) = @p1
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AND LTRIM(RTRIM(ISNULL(S.ColorCode, ''))) = @p2
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AND LTRIM(RTRIM(ISNULL(S.ItemDim2Code, ''))) = @p3
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GROUP BY LTRIM(RTRIM(ISNULL(S.ItemDim1Code, '')))
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HAVING SUM(S.InventoryQty1) <> 0
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ORDER BY LTRIM(RTRIM(ISNULL(S.ItemDim1Code, '')))
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`, strings.TrimSpace(productCode), strings.TrimSpace(colorCode), strings.TrimSpace(yakaKodu))
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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out := make([]models.ProductPerformanceStockSizeRow, 0, 32)
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for rows.Next() {
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var r models.ProductPerformanceStockSizeRow
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if err := rows.Scan(&r.SizeCode, &r.StockQty); err != nil {
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return nil, err
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}
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out = append(out, r)
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}
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return out, rows.Err()
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}
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func productPerformanceWhere(f ProductPerformanceFilters) (string, []any) {
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parts := make([]string, 0, 6)
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args := make([]any, 0, 6)
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@@ -911,6 +1028,54 @@ func productPerformanceWhere(f ProductPerformanceFilters) (string, []any) {
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return strings.Join(parts, ""), args
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}
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func productPerformanceOrderBy(sortBy string, desc bool) string {
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allowed := map[string]string{
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"product_code": "product_code",
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"color_code": "color_code",
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"yaka_kodu": "yaka_kodu",
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"item_description": "item_description",
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"kategori": "kategori",
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"urun_ilk_grubu": "urun_ilk_grubu",
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"askili_yan": "askili_yan",
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"urun_ana_grubu": "urun_ana_grubu",
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"urun_alt_grubu": "urun_alt_grubu",
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"market_key": "market_key",
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"stock_qty": "stock_qty",
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"sales_qty_90d": "sales_qty_90d",
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"sales_qty_180d": "sales_qty_180d",
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"sales_usd_90d": "sales_usd_90d",
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"sales_usd_180d": "sales_usd_180d",
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"stock_days_90d": "stock_days_90d",
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"stock_days_180d": "stock_days_180d",
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"avg_price_usd_90d": "avg_price_usd_90d",
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"avg_price_usd_180d": "avg_price_usd_180d",
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"base_price_usd": "base_price_usd",
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"cost_price_usd": "cost_price_usd",
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"unit_profit_base_90d": "unit_profit_base_90d",
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"unit_profit_cost_90d": "unit_profit_cost_90d",
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"unit_profit_base_180d": "unit_profit_base_180d",
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"unit_profit_cost_180d": "unit_profit_cost_180d",
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"gross_margin_90d": "gross_margin_90d",
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"gross_margin_180d": "gross_margin_180d",
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"market_count_90d": "market_count_90d",
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"customer_count_90d": "customer_count_90d",
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"sales_index_90d": "sales_index_90d",
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"performance_score": "performance_score",
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"performance_bucket": "performance_bucket",
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"last_sale_date": "last_sale_date",
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}
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col := allowed[strings.TrimSpace(sortBy)]
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if col == "" {
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col = "performance_score"
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desc = true
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}
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dir := "ASC"
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if desc {
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dir = "DESC"
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}
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return col + " " + dir + ", product_code ASC, color_code ASC, yaka_kodu ASC"
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}
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func dateOnly(t time.Time) time.Time {
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y, m, d := t.Date()
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return time.Date(y, m, d, 0, 0, 0, 0, t.Location())
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@@ -422,12 +422,14 @@ SalesAgg AS (
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MAX(urun_alt_grubu) AS urun_alt_grubu,
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SUM(sales_qty) FILTER (WHERE sales_date >= $1::date - INTERVAL '29 days') AS sales_qty_30d,
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SUM(sales_qty) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS sales_qty_90d,
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SUM(sales_qty) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days') AS sales_qty_180d,
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SUM(sales_qty) FILTER (WHERE sales_date >= $1::date - INTERVAL '364 days') AS sales_qty_365d,
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SUM(sales_qty) FILTER (WHERE sales_date >= $1::date - INTERVAL '729 days') AS sales_qty_730d,
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SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '29 days') AS sales_usd_30d,
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SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS sales_usd_90d,
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SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '179 days') AS sales_usd_180d,
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SUM(sales_usd) FILTER (WHERE sales_date >= $1::date - INTERVAL '364 days') AS sales_usd_365d,
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SUM(customer_count) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS customer_count_90d,
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COUNT(DISTINCT NULLIF(customer_code, '-')) FILTER (WHERE sales_date >= $1::date - INTERVAL '89 days') AS customer_count_90d,
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MAX(sales_date) AS last_sale_date,
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MAX(last_ref_number) AS last_ref_number
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FROM mk_product_performance_sales_daily
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@@ -439,8 +441,8 @@ Scope AS (
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SELECT
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product_code, color_code, yaka_kodu, market_key,
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item_description, kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu,
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sales_qty_30d, sales_qty_90d, sales_qty_365d, sales_qty_730d,
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sales_usd_30d, sales_usd_90d, sales_usd_365d,
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sales_qty_30d, sales_qty_90d, sales_qty_180d, sales_qty_365d, sales_qty_730d,
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sales_usd_30d, sales_usd_90d, sales_usd_180d, sales_usd_365d,
|
||||
customer_count_90d, last_sale_date, last_ref_number
|
||||
FROM SalesAgg
|
||||
UNION ALL
|
||||
@@ -459,10 +461,12 @@ Scope AS (
|
||||
'' AS urun_alt_grubu,
|
||||
0 AS sales_qty_30d,
|
||||
0 AS sales_qty_90d,
|
||||
0 AS sales_qty_180d,
|
||||
0 AS sales_qty_365d,
|
||||
0 AS sales_qty_730d,
|
||||
0 AS sales_usd_30d,
|
||||
0 AS sales_usd_90d,
|
||||
0 AS sales_usd_180d,
|
||||
0 AS sales_usd_365d,
|
||||
0 AS customer_count_90d,
|
||||
NULL::date AS last_sale_date,
|
||||
@@ -485,15 +489,35 @@ Base AS (
|
||||
COALESCE(pd.base_price_usd, 0) AS base_price_usd,
|
||||
COALESCE(pd.base_price_try, 0) AS base_price_try,
|
||||
COALESCE(s.sales_qty_90d, 0) / 90.0 AS avg_daily_sales_90d,
|
||||
COALESCE(s.sales_qty_180d, 0) / 180.0 AS avg_daily_sales_180d,
|
||||
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,
|
||||
COALESCE(s.sales_usd_180d, 0) - (COALESCE(s.sales_qty_180d, 0) * COALESCE(pd.cost_price_usd, 0)) AS gross_profit_usd_180d,
|
||||
CASE WHEN COALESCE(s.sales_usd_90d, 0) = 0 THEN 0
|
||||
ELSE (COALESCE(s.sales_usd_90d, 0) - (COALESCE(s.sales_qty_90d, 0) * COALESCE(pd.cost_price_usd, 0))) / NULLIF(s.sales_usd_90d, 0)
|
||||
END AS gross_margin_90d
|
||||
END AS gross_margin_90d,
|
||||
CASE WHEN COALESCE(s.sales_usd_180d, 0) = 0 THEN 0
|
||||
ELSE (COALESCE(s.sales_usd_180d, 0) - (COALESCE(s.sales_qty_180d, 0) * COALESCE(pd.cost_price_usd, 0))) / NULLIF(s.sales_usd_180d, 0)
|
||||
END AS gross_margin_180d,
|
||||
CASE WHEN COALESCE(s.sales_qty_90d, 0) = 0 THEN 0 ELSE (COALESCE(s.sales_usd_90d, 0) / NULLIF(s.sales_qty_90d, 0)) - COALESCE(pd.cost_price_usd, 0) END AS unit_profit_cost_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)) - COALESCE(pd.cost_price_usd, 0) END AS unit_profit_cost_180d,
|
||||
CASE WHEN COALESCE(s.sales_qty_90d, 0) = 0 THEN 0 ELSE (COALESCE(s.sales_usd_90d, 0) / NULLIF(s.sales_qty_90d, 0)) - COALESCE(pd.base_price_usd, 0) END AS unit_profit_base_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)) - 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 mk_product_performance_price_dim pd ON pd.product_code=s.product_code
|
||||
),
|
||||
Spread AS (
|
||||
SELECT
|
||||
product_code,
|
||||
color_code,
|
||||
yaka_kodu,
|
||||
COUNT(DISTINCT market_key) AS market_count_90d
|
||||
FROM SalesAgg
|
||||
WHERE COALESCE(sales_qty_90d, 0) > 0
|
||||
GROUP BY product_code, color_code, yaka_kodu
|
||||
),
|
||||
Market AS (
|
||||
SELECT
|
||||
market_key,
|
||||
@@ -506,20 +530,24 @@ Market AS (
|
||||
Scored AS (
|
||||
SELECT
|
||||
b.*,
|
||||
COALESCE(sp.market_count_90d, 0) AS market_count_90d,
|
||||
CASE WHEN b.avg_daily_sales_90d = 0 THEN 0 ELSE b.stock_qty / NULLIF(b.avg_daily_sales_90d, 0) END AS stock_days_90d,
|
||||
CASE WHEN b.avg_daily_sales_180d = 0 THEN 0 ELSE b.stock_qty / NULLIF(b.avg_daily_sales_180d, 0) END AS stock_days_180d,
|
||||
CASE WHEN COALESCE(m.market_avg_sales_qty_90d, 0) = 0 THEN 0 ELSE b.sales_qty_90d / NULLIF(m.market_avg_sales_qty_90d, 0) END AS sales_index_90d,
|
||||
CASE WHEN COALESCE(m.market_avg_price_usd_90d, 0) = 0 THEN 0 ELSE b.avg_price_usd_90d / NULLIF(m.market_avg_price_usd_90d, 0) END AS price_index_90d,
|
||||
CASE WHEN COALESCE(m.market_avg_margin_90d, 0) = 0 THEN 0 ELSE b.gross_margin_90d / NULLIF(m.market_avg_margin_90d, 0) END AS margin_index_90d
|
||||
FROM Base b
|
||||
LEFT JOIN Market m ON m.market_key=b.market_key
|
||||
LEFT JOIN Spread sp ON sp.product_code=b.product_code AND sp.color_code=b.color_code AND sp.yaka_kodu=b.yaka_kodu
|
||||
)
|
||||
INSERT INTO mk_product_performance_kpi_daily (
|
||||
kpi_date, product_code, color_code, yaka_kodu, item_description,
|
||||
kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu, market_key, stock_qty,
|
||||
sales_qty_30d, sales_qty_90d, sales_qty_365d, sales_qty_730d,
|
||||
sales_usd_30d, sales_usd_90d, sales_usd_365d, avg_daily_sales_90d,
|
||||
stock_days_90d, avg_price_usd_90d, cost_price_usd, base_price_usd, base_price_try,
|
||||
gross_profit_usd_90d, gross_margin_90d, customer_count_90d,
|
||||
sales_qty_30d, sales_qty_90d, sales_qty_180d, sales_qty_365d, sales_qty_730d,
|
||||
sales_usd_30d, sales_usd_90d, sales_usd_180d, sales_usd_365d, avg_daily_sales_90d, avg_daily_sales_180d,
|
||||
stock_days_90d, stock_days_180d, avg_price_usd_90d, avg_price_usd_180d, cost_price_usd, base_price_usd, base_price_try,
|
||||
gross_profit_usd_90d, gross_profit_usd_180d, gross_margin_90d, gross_margin_180d,
|
||||
unit_profit_cost_90d, unit_profit_cost_180d, unit_profit_base_90d, unit_profit_base_180d, market_count_90d, customer_count_90d,
|
||||
sales_index_90d, price_index_90d, margin_index_90d, performance_score,
|
||||
performance_bucket, recommendation, last_sale_date, last_ref_number, updated_at
|
||||
)
|
||||
@@ -527,16 +555,18 @@ SELECT
|
||||
$1::date,
|
||||
product_code, color_code, yaka_kodu, item_description,
|
||||
kategori, seri, yas_grubu, askili_yan, urun_ilk_grubu, urun_ana_grubu, urun_alt_grubu, market_key, stock_qty,
|
||||
COALESCE(sales_qty_30d, 0), COALESCE(sales_qty_90d, 0), COALESCE(sales_qty_365d, 0), COALESCE(sales_qty_730d, 0),
|
||||
COALESCE(sales_usd_30d, 0), COALESCE(sales_usd_90d, 0), COALESCE(sales_usd_365d, 0), COALESCE(avg_daily_sales_90d, 0),
|
||||
COALESCE(stock_days_90d, 0), COALESCE(avg_price_usd_90d, 0), COALESCE(cost_price_usd, 0), COALESCE(base_price_usd, 0), COALESCE(base_price_try, 0),
|
||||
COALESCE(gross_profit_usd_90d, 0), COALESCE(gross_margin_90d, 0), COALESCE(customer_count_90d, 0),
|
||||
COALESCE(sales_qty_30d, 0), COALESCE(sales_qty_90d, 0), COALESCE(sales_qty_180d, 0), COALESCE(sales_qty_365d, 0), COALESCE(sales_qty_730d, 0),
|
||||
COALESCE(sales_usd_30d, 0), COALESCE(sales_usd_90d, 0), COALESCE(sales_usd_180d, 0), COALESCE(sales_usd_365d, 0), COALESCE(avg_daily_sales_90d, 0), COALESCE(avg_daily_sales_180d, 0),
|
||||
COALESCE(stock_days_90d, 0), COALESCE(stock_days_180d, 0), COALESCE(avg_price_usd_90d, 0), COALESCE(avg_price_usd_180d, 0), COALESCE(cost_price_usd, 0), COALESCE(base_price_usd, 0), COALESCE(base_price_try, 0),
|
||||
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(40, COALESCE(sales_index_90d, 0) * 20)
|
||||
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)
|
||||
+ CASE WHEN COALESCE(stock_days_90d, 0) BETWEEN 10 AND 90 THEN 15 WHEN COALESCE(stock_days_90d, 0) > 180 THEN -10 ELSE 0 END
|
||||
+ 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_index_90d,0) >= 1.25 AND COALESCE(gross_margin_90d,0) >= 0.25 THEN 'YILDIZ_URUN'
|
||||
|
||||
Reference in New Issue
Block a user