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bssapp/svc/routes/product_performance_excel.go
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package routes
import (
"bssapp-backend/models"
"bssapp-backend/queries"
"bssapp-backend/utils"
"context"
"database/sql"
"encoding/json"
"fmt"
"math"
"net/http"
"sort"
"strings"
"time"
"github.com/xuri/excelize/v2"
)
type productPerformanceExcelExportRequest struct {
Filters map[string][]string `json:"filters"`
SortBy string `json:"sort_by"`
Descending *bool `json:"descending"`
}
type productPerformanceExcelColumn struct {
Header string
Kind string
Value func(*productPerformanceExcelVariant, productPerformanceExcelStats) any
}
type productPerformanceExcelStats struct {
AvgSalesUSD90 float64
AvgSalesUSD180 float64
AvgSalesUSD365 float64
AvgSalesUSDTotal float64
}
type productPerformanceExcelVariant struct {
KpiDate string
ProductCode string
ColorCode string
ColorDescription string
YakaKodu string
ItemDescription string
Kategori string
Seri string
YasGrubu string
AskiliYan string
UrunIlkGrubu string
UrunAnaGrubu string
UrunAltGrubu string
StockQty float64
BasePriceUSD float64
CostPriceUSD float64
SalesQty90 float64
SalesQty180 float64
SalesQty365 float64
SalesUSD90 float64
SalesUSD180 float64
SalesUSD365 float64
SalesQtyTotalProduct float64
SalesUSDTotalProduct float64
SalesQtyTotalGeneral float64
SalesUSDTotalGeneral float64
HasGeneralTotal bool
MarketCount90 int
CustomerCount90 int
MarketCountTotal int
CustomerCountTotal int
Markets90 map[string]bool
MarketsTotal map[string]bool
MarketFiltered bool
PerformanceBucket string
Recommendation string
LastSaleDate string
LastRefNumber string
UpdatedAt string
}
func ExportProductPerformanceExcelHandler(pg *sql.DB) http.HandlerFunc {
return func(w http.ResponseWriter, r *http.Request) {
traceID := utils.TraceIDFromRequest(r)
ctx, cancel := context.WithTimeout(utils.ContextWithTraceID(r.Context(), traceID), 180*time.Second)
defer cancel()
var req productPerformanceExcelExportRequest
if r.Method == http.MethodPost {
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
http.Error(w, "gecersiz excel istegi: "+err.Error(), http.StatusBadRequest)
return
}
}
productRows, _, err := queries.ListProductPerformance(ctx, pg, queries.ProductPerformanceFilters{
Limit: 50000,
Page: 1,
SortBy: "product_code",
Descending: false,
})
if err != nil {
http.Error(w, "urun performans excel listesi alinamadi: "+err.Error(), http.StatusInternalServerError)
return
}
generalRows, err := queries.ListProductPerformanceGeneral(ctx, pg, 50000)
if err != nil {
http.Error(w, "urun performans genel excel listesi alinamadi: "+err.Error(), http.StatusInternalServerError)
return
}
rows := buildProductPerformanceExcelVariants(productRows, generalRows, req.Filters)
sortProductPerformanceExcelVariants(rows, req.SortBy, req.Descending == nil || *req.Descending)
stats := productPerformanceExcelStatsFor(rows)
file, err := buildProductPerformanceExcelFile(rows, stats)
if err != nil {
http.Error(w, "urun performans excel dosyasi hazirlanamadi: "+err.Error(), http.StatusInternalServerError)
return
}
defer func() { _ = file.Close() }()
buf, err := file.WriteToBuffer()
if err != nil {
http.Error(w, err.Error(), http.StatusInternalServerError)
return
}
filename := fmt.Sprintf("product_performance_renk_yaka_%s.xlsx", time.Now().Format("20060102_150405"))
w.Header().Set("Content-Type", "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
w.Header().Set("Content-Disposition", "attachment; filename=\""+filename+"\"")
w.Header().Set("Content-Length", fmt.Sprint(len(buf.Bytes())))
w.WriteHeader(http.StatusOK)
_, _ = w.Write(buf.Bytes())
}
}
func buildProductPerformanceExcelVariants(productRows []models.ProductPerformanceRow, generalRows []models.ProductPerformanceGeneralRow, filters map[string][]string) []*productPerformanceExcelVariant {
byKey := map[string]*productPerformanceExcelVariant{}
marketFiltered := productPerformanceExcelHasFilter(filters, "market_key")
for _, row := range productRows {
if !productPerformanceExcelProductRowMatchesFilters(row, filters) {
continue
}
key := productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)
v := byKey[key]
if v == nil {
v = &productPerformanceExcelVariant{Markets90: map[string]bool{}, MarketsTotal: map[string]bool{}, MarketFiltered: marketFiltered}
byKey[key] = v
}
v.addProductRow(row)
}
for _, row := range generalRows {
if !productPerformanceExcelGeneralRowMatchesFilters(row, filters) {
continue
}
key := productPerformanceExcelVariantKey(row.ProductCode, row.ColorCode, row.YakaKodu)
v := byKey[key]
if v == nil {
v = &productPerformanceExcelVariant{Markets90: map[string]bool{}, MarketsTotal: map[string]bool{}, MarketFiltered: marketFiltered}
byKey[key] = v
}
v.addGeneralRow(row)
}
out := make([]*productPerformanceExcelVariant, 0, len(byKey))
for _, row := range byKey {
if productPerformanceExcelVariantMatchesPostFilters(row, filters) {
out = append(out, row)
}
}
return out
}
func (v *productPerformanceExcelVariant) addProductRow(row models.ProductPerformanceRow) {
v.fillDimensions(
row.KpiDate, row.ProductCode, row.ColorCode, row.ColorDescription, row.YakaKodu, row.ItemDescription,
row.Kategori, row.Seri, row.YasGrubu, row.AskiliYan, row.UrunIlkGrubu, row.UrunAnaGrubu, row.UrunAltGrubu,
row.BasePriceUSD, row.CostPriceUSD, row.StockQty, row.LastSaleDate, row.LastRefNumber, row.UpdatedAt,
)
v.SalesQty90 += row.SalesQty90
v.SalesQty180 += row.SalesQty180
v.SalesQty365 += row.SalesQty365
v.SalesUSD90 += row.SalesUSD90
v.SalesUSD180 += row.SalesUSD180
v.SalesUSD365 += row.SalesUSD365
v.SalesQtyTotalProduct += row.SalesQtyTotal
v.SalesUSDTotalProduct += row.SalesUSDTotal
v.MarketCount90 = productPerformanceExcelMaxInt(v.MarketCount90, row.MarketCount90)
if row.SalesUSD90 > 0 {
v.CustomerCount90 += row.CustomerCount90
}
v.PerformanceBucket = productPerformanceExcelFirstNonEmpty(v.PerformanceBucket, row.PerformanceBucket)
v.Recommendation = productPerformanceExcelFirstNonEmpty(v.Recommendation, row.Recommendation)
v.addMarket(row.MarketKey, row.SalesQty90, row.SalesUSD90, row.SalesQtyTotal, row.SalesUSDTotal)
}
func (v *productPerformanceExcelVariant) addGeneralRow(row models.ProductPerformanceGeneralRow) {
v.fillDimensions(
productPerformanceExcelFirstNonEmpty(row.PeriodEnd, row.PeriodStart), row.ProductCode, row.ColorCode, row.ColorDescription, row.YakaKodu, row.ItemDescription,
row.Kategori, row.Seri, row.YasGrubu, row.AskiliYan, row.UrunIlkGrubu, row.UrunAnaGrubu, row.UrunAltGrubu,
row.BasePriceUSD, row.CostPriceUSD, row.StockQty, row.LastSaleDate, row.LastRefNumber, "",
)
v.SalesQtyTotalGeneral += row.SalesQtyTotal
v.SalesUSDTotalGeneral += row.SalesUSDTotal
v.HasGeneralTotal = true
v.MarketCountTotal = productPerformanceExcelMaxInt(v.MarketCountTotal, row.MarketCountTotal)
if row.SalesUSDTotal > 0 {
v.CustomerCountTotal += row.CustomerCountTotal
}
v.PerformanceBucket = productPerformanceExcelFirstNonEmpty(v.PerformanceBucket, row.PerformanceBucket)
v.Recommendation = productPerformanceExcelFirstNonEmpty(v.Recommendation, row.Recommendation)
v.addMarket(row.MarketKey, 0, 0, row.SalesQtyTotal, row.SalesUSDTotal)
}
func (v *productPerformanceExcelVariant) fillDimensions(kpiDate, productCode, colorCode, colorDescription, yakaKodu, itemDescription, kategori, seri, yasGrubu, askiliYan, urunIlkGrubu, urunAnaGrubu, urunAltGrubu string, basePrice, costPrice, stockQty float64, lastSaleDate, lastRefNumber, updatedAt string) {
v.KpiDate = productPerformanceExcelFirstNonEmpty(v.KpiDate, kpiDate)
v.ProductCode = productPerformanceExcelFirstNonEmpty(v.ProductCode, productCode)
v.ColorCode = productPerformanceExcelFirstNonEmpty(v.ColorCode, colorCode)
v.ColorDescription = productPerformanceExcelFirstNonEmpty(v.ColorDescription, colorDescription)
v.YakaKodu = productPerformanceExcelFirstNonEmpty(v.YakaKodu, yakaKodu)
v.ItemDescription = productPerformanceExcelFirstNonEmpty(v.ItemDescription, itemDescription)
v.Kategori = productPerformanceExcelFirstNonEmpty(v.Kategori, kategori)
v.Seri = productPerformanceExcelFirstNonEmpty(v.Seri, seri)
v.YasGrubu = productPerformanceExcelFirstNonEmpty(v.YasGrubu, yasGrubu)
v.AskiliYan = productPerformanceExcelFirstNonEmpty(v.AskiliYan, productPerformanceExcelCleanOptional(askiliYan))
v.UrunIlkGrubu = productPerformanceExcelFirstNonEmpty(v.UrunIlkGrubu, productPerformanceExcelCleanOptional(urunIlkGrubu))
v.UrunAnaGrubu = productPerformanceExcelFirstNonEmpty(v.UrunAnaGrubu, urunAnaGrubu)
v.UrunAltGrubu = productPerformanceExcelFirstNonEmpty(v.UrunAltGrubu, urunAltGrubu)
v.BasePriceUSD = productPerformanceExcelFirstNonZero(v.BasePriceUSD, basePrice)
v.CostPriceUSD = productPerformanceExcelFirstNonZero(v.CostPriceUSD, costPrice)
if stockQty > v.StockQty {
v.StockQty = stockQty
}
if lastSaleDate > v.LastSaleDate {
v.LastSaleDate = lastSaleDate
v.LastRefNumber = lastRefNumber
}
if updatedAt > v.UpdatedAt {
v.UpdatedAt = updatedAt
}
}
func (v *productPerformanceExcelVariant) addMarket(marketKey string, salesQty90, salesUSD90, salesQtyTotal, salesUSDTotal float64) {
market := productPerformanceExcelMarketName(marketKey)
if market == "" || market == "STOK" {
return
}
if salesUSD90 > 0 {
v.Markets90[market] = true
}
if salesUSDTotal > 0 {
v.MarketsTotal[market] = true
}
}
func (v *productPerformanceExcelVariant) totalQty() float64 {
if v.HasGeneralTotal {
return v.SalesQtyTotalGeneral
}
return v.SalesQtyTotalProduct
}
func (v *productPerformanceExcelVariant) totalUSD() float64 {
if v.HasGeneralTotal {
return v.SalesUSDTotalGeneral
}
return v.SalesUSDTotalProduct
}
func (v *productPerformanceExcelVariant) marketCount90() int {
if v.MarketFiltered {
return len(v.Markets90)
}
return productPerformanceExcelMaxInt(v.MarketCount90, len(v.Markets90))
}
func (v *productPerformanceExcelVariant) marketCountTotal() int {
if v.MarketFiltered {
return len(v.MarketsTotal)
}
return productPerformanceExcelMaxInt(v.MarketCountTotal, len(v.MarketsTotal))
}
func (v *productPerformanceExcelVariant) marketsLabel() string {
return productPerformanceExcelSortedSetLabel(v.MarketsTotal)
}
func buildProductPerformanceExcelFile(rows []*productPerformanceExcelVariant, stats productPerformanceExcelStats) (*excelize.File, error) {
f := excelize.NewFile()
sheet := "RenkYaka"
f.SetSheetName("Sheet1", sheet)
columns := productPerformanceExcelColumns()
headerStyle, _ := f.NewStyle(&excelize.Style{
Font: &excelize.Font{Bold: true, Color: "FFFFFF"},
Fill: excelize.Fill{Type: "pattern", Pattern: 1, Color: []string{"1F4E78"}},
Alignment: &excelize.Alignment{Horizontal: "center", Vertical: "center", WrapText: true},
})
textStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 49})
intStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 3})
decimalStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 4})
percentStyle, _ := f.NewStyle(&excelize.Style{NumFmt: 10})
for i, col := range columns {
cell, _ := excelize.CoordinatesToCellName(i+1, 1)
_ = f.SetCellStr(sheet, cell, col.Header)
}
if len(columns) > 0 {
lastHeader, _ := excelize.CoordinatesToCellName(len(columns), 1)
_ = f.SetCellStyle(sheet, "A1", lastHeader, headerStyle)
}
for rowIndex, row := range rows {
excelRow := rowIndex + 2
for colIndex, col := range columns {
cell, _ := excelize.CoordinatesToCellName(colIndex+1, excelRow)
value := col.Value(row, stats)
if col.Kind == "text" {
_ = f.SetCellStr(sheet, cell, strings.TrimSpace(fmt.Sprint(value)))
} else {
_ = f.SetCellValue(sheet, cell, productPerformanceExcelFloat(value))
}
}
}
lastRow := productPerformanceExcelMaxInt(len(rows)+1, 2)
if len(columns) > 0 {
lastFilterCell, _ := excelize.CoordinatesToCellName(len(columns), lastRow)
_ = f.AutoFilter(sheet, "A1:"+lastFilterCell, []excelize.AutoFilterOptions{})
}
for i, col := range columns {
colName, _ := excelize.ColumnNumberToName(i + 1)
_ = f.SetColWidth(sheet, colName, colName, productPerformanceExcelColumnWidth(col.Header, col.Kind))
style := decimalStyle
switch col.Kind {
case "text":
style = textStyle
case "int":
style = intStyle
case "percent":
style = percentStyle
}
_ = f.SetCellStyle(sheet, fmt.Sprintf("%s2", colName), fmt.Sprintf("%s%d", colName, lastRow), style)
}
_ = f.SetPanes(sheet, &excelize.Panes{Freeze: true, YSplit: 1, TopLeftCell: "A2", ActivePane: "bottomLeft"})
return f, nil
}
func productPerformanceExcelColumns() []productPerformanceExcelColumn {
base := []productPerformanceExcelColumn{
textExcelColumn("KPI Tarihi", func(v *productPerformanceExcelVariant) any { return v.KpiDate }),
textExcelColumn("Ürün İlk Grubu", func(v *productPerformanceExcelVariant) any { return v.UrunIlkGrubu }),
textExcelColumn("Askılı/Yan", func(v *productPerformanceExcelVariant) any { return v.AskiliYan }),
textExcelColumn("Kategori", func(v *productPerformanceExcelVariant) any { return v.Kategori }),
textExcelColumn("Ürün Ana Grubu", func(v *productPerformanceExcelVariant) any { return v.UrunAnaGrubu }),
textExcelColumn("Ürün Alt Grubu", func(v *productPerformanceExcelVariant) any { return v.UrunAltGrubu }),
textExcelColumn("Ürün", func(v *productPerformanceExcelVariant) any { return v.ProductCode }),
textExcelColumn("Açıklama", func(v *productPerformanceExcelVariant) any { return v.ItemDescription }),
textExcelColumn("Renk", func(v *productPerformanceExcelVariant) any { return v.ColorCode }),
textExcelColumn("Renk Açıklama", func(v *productPerformanceExcelVariant) any { return v.ColorDescription }),
textExcelColumn("Yaka", func(v *productPerformanceExcelVariant) any { return v.YakaKodu }),
textExcelColumn("Renk/Yaka", func(v *productPerformanceExcelVariant) any {
return productPerformanceExcelColorYaka(v.ColorCode, v.ColorDescription, v.YakaKodu)
}),
textExcelColumn("Piyasalar", func(v *productPerformanceExcelVariant) any { return v.marketsLabel() }),
numberExcelColumn("Toplam Stok", "int", func(v *productPerformanceExcelVariant) any { return v.StockQty }),
}
base = append(base, productPerformanceExcelPeriodColumns("90G", "90d", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
return v.SalesQty90, v.SalesUSD90, v.marketCount90(), v.CustomerCount90
})...)
base = append(base, productPerformanceExcelPeriodColumns("180G", "180d", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
return v.SalesQty180, v.SalesUSD180, v.marketCount90(), v.CustomerCount90
})...)
base = append(base, productPerformanceExcelPeriodColumns("360G", "365d", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
return v.SalesQty365, v.SalesUSD365, v.marketCount90(), v.CustomerCount90
})...)
base = append(base, productPerformanceExcelPeriodColumns("Genel", "total", func(v *productPerformanceExcelVariant) (float64, float64, int, int) {
return v.totalQty(), v.totalUSD(), v.marketCountTotal(), v.CustomerCountTotal
})...)
base = append(base,
textExcelColumn("Durum", func(v *productPerformanceExcelVariant) any { return productPerformanceExcelStatus(v) }),
textExcelColumn("Öneri", func(v *productPerformanceExcelVariant) any { return productPerformanceExcelRecommendation(v) }),
textExcelColumn("Son Satış", func(v *productPerformanceExcelVariant) any { return v.LastSaleDate }),
textExcelColumn("Son Ref", func(v *productPerformanceExcelVariant) any { return v.LastRefNumber }),
textExcelColumn("Güncelleme", func(v *productPerformanceExcelVariant) any { return v.UpdatedAt }),
)
return base
}
func productPerformanceExcelPeriodColumns(label, suffix string, values func(*productPerformanceExcelVariant) (float64, float64, int, int)) []productPerformanceExcelColumn {
return []productPerformanceExcelColumn{
numberExcelColumn(label+" Toplam Adet", "int", func(v *productPerformanceExcelVariant) any {
qty, _, _, _ := values(v)
return qty
}),
numberExcelColumn(label+" Toplam Ciro USD", "number", func(v *productPerformanceExcelVariant) any {
_, usd, _, _ := values(v)
return usd
}),
numberExcelColumn(label+" Ciro/Adet USD", "number", func(v *productPerformanceExcelVariant) any {
qty, usd, _, _ := values(v)
return productPerformanceExcelAvgPrice(usd, qty)
}),
numberExcelColumn(label+" Satış/Stok Oranı", "number", func(v *productPerformanceExcelVariant) any {
qty, _, _, _ := values(v)
return productPerformanceExcelStockTurnover(qty, v.StockQty)
}),
numberExcelColumn(label+" Taban Maliyet USD", "number", func(v *productPerformanceExcelVariant) any { return v.BasePriceUSD }),
numberExcelColumn(label+" Çıplak Maliyet USD", "number", func(v *productPerformanceExcelVariant) any { return v.CostPriceUSD }),
numberExcelColumn(label+" Taban Toplam K/Z USD", "number", func(v *productPerformanceExcelVariant) any {
qty, usd, _, _ := values(v)
return productPerformanceExcelGrossProfit(usd, qty, v.BasePriceUSD)
}),
numberExcelColumn(label+" Çıplak Toplam K/Z USD", "number", func(v *productPerformanceExcelVariant) any {
qty, usd, _, _ := values(v)
return productPerformanceExcelGrossProfit(usd, qty, v.CostPriceUSD)
}),
numberExcelColumn(label+" Taban Marj", "percent", func(v *productPerformanceExcelVariant) any {
qty, usd, _, _ := values(v)
return productPerformanceExcelMargin(usd, qty, v.BasePriceUSD)
}),
numberExcelColumn(label+" Çıplak Marj", "percent", func(v *productPerformanceExcelVariant) any {
qty, usd, _, _ := values(v)
return productPerformanceExcelMargin(usd, qty, v.CostPriceUSD)
}),
numberExcelColumn(label+" Tekil Piyasa", "int", func(v *productPerformanceExcelVariant) any {
_, _, markets, _ := values(v)
return markets
}),
numberExcelColumn(label+" Tekil Müşteri", "int", func(v *productPerformanceExcelVariant) any {
_, _, _, customers := values(v)
return customers
}),
numberExcelColumn(label+" Ürün Skor", "number", func(v *productPerformanceExcelVariant) any {
qty, usd, markets, customers := values(v)
return productPerformanceExcelProductScore(suffix, usd, productPerformanceExcelStockTurnover(qty, v.StockQty), float64(markets), float64(customers), productPerformanceExcelMargin(usd, qty, v.CostPriceUSD))
}),
}
}
func textExcelColumn(header string, value func(*productPerformanceExcelVariant) any) productPerformanceExcelColumn {
return productPerformanceExcelColumn{Header: header, Kind: "text", Value: func(v *productPerformanceExcelVariant, _ productPerformanceExcelStats) any { return value(v) }}
}
func numberExcelColumn(header, kind string, value func(*productPerformanceExcelVariant) any) productPerformanceExcelColumn {
return productPerformanceExcelColumn{Header: header, Kind: kind, Value: func(v *productPerformanceExcelVariant, _ productPerformanceExcelStats) any { return value(v) }}
}
func productPerformanceExcelProductRowMatchesFilters(row models.ProductPerformanceRow, filters map[string][]string) bool {
for field, selected := range productPerformanceExcelFilterSets(filters) {
if field == "performance_bucket" {
continue
}
if !productPerformanceExcelMatchesAny(selected, productPerformanceExcelProductFilterCandidates(row, field)) {
return false
}
}
return true
}
func productPerformanceExcelGeneralRowMatchesFilters(row models.ProductPerformanceGeneralRow, filters map[string][]string) bool {
for field, selected := range productPerformanceExcelFilterSets(filters) {
if field == "performance_bucket" {
continue
}
if !productPerformanceExcelMatchesAny(selected, productPerformanceExcelGeneralFilterCandidates(row, field)) {
return false
}
}
return true
}
func productPerformanceExcelVariantMatchesPostFilters(row *productPerformanceExcelVariant, filters map[string][]string) bool {
selected := productPerformanceExcelFilterSets(filters)["performance_bucket"]
if len(selected) == 0 {
return true
}
return productPerformanceExcelMatchesAny(selected, []string{row.PerformanceBucket, productPerformanceExcelStatus(row)})
}
func productPerformanceExcelFilterSets(filters map[string][]string) map[string]map[string]bool {
out := map[string]map[string]bool{}
for field, values := range filters {
field = strings.TrimSpace(field)
for _, value := range values {
value = productPerformanceExcelNormalize(value)
if value == "" {
continue
}
if out[field] == nil {
out[field] = map[string]bool{}
}
out[field][value] = true
}
}
return out
}
func productPerformanceExcelHasFilter(filters map[string][]string, field string) bool {
for _, value := range filters[strings.TrimSpace(field)] {
if strings.TrimSpace(value) != "" {
return true
}
}
return false
}
func productPerformanceExcelProductFilterCandidates(row models.ProductPerformanceRow, field string) []string {
switch strings.TrimSpace(field) {
case "product_code":
return []string{row.ProductCode}
case "item_description":
return []string{row.ItemDescription}
case "color_code":
return []string{row.ColorCode}
case "yaka_kodu":
return []string{row.YakaKodu}
case "color_yaka":
return []string{productPerformanceExcelColorYaka(row.ColorCode, row.ColorDescription, row.YakaKodu), row.ColorCode + "/" + row.YakaKodu}
case "kategori":
return []string{row.Kategori}
case "askili_yan":
return []string{productPerformanceExcelCleanOptional(row.AskiliYan)}
case "urun_ilk_grubu":
return []string{productPerformanceExcelCleanOptional(row.UrunIlkGrubu)}
case "urun_ana_grubu":
return []string{row.UrunAnaGrubu}
case "urun_alt_grubu":
return []string{row.UrunAltGrubu}
case "market_key":
return []string{row.MarketKey, productPerformanceExcelMarketName(row.MarketKey)}
default:
return nil
}
}
func productPerformanceExcelGeneralFilterCandidates(row models.ProductPerformanceGeneralRow, field string) []string {
switch strings.TrimSpace(field) {
case "product_code":
return []string{row.ProductCode}
case "item_description":
return []string{row.ItemDescription}
case "color_code":
return []string{row.ColorCode}
case "yaka_kodu":
return []string{row.YakaKodu}
case "color_yaka":
return []string{productPerformanceExcelColorYaka(row.ColorCode, row.ColorDescription, row.YakaKodu), row.ColorCode + "/" + row.YakaKodu}
case "kategori":
return []string{row.Kategori}
case "askili_yan":
return []string{productPerformanceExcelCleanOptional(row.AskiliYan)}
case "urun_ilk_grubu":
return []string{productPerformanceExcelCleanOptional(row.UrunIlkGrubu)}
case "urun_ana_grubu":
return []string{row.UrunAnaGrubu}
case "urun_alt_grubu":
return []string{row.UrunAltGrubu}
case "market_key":
return []string{row.MarketKey, productPerformanceExcelMarketName(row.MarketKey)}
default:
return nil
}
}
func productPerformanceExcelMatchesAny(selected map[string]bool, candidates []string) bool {
if len(selected) == 0 {
return true
}
for _, candidate := range candidates {
if selected[productPerformanceExcelNormalize(candidate)] {
return true
}
}
return false
}
func sortProductPerformanceExcelVariants(rows []*productPerformanceExcelVariant, sortBy string, desc bool) {
sortBy = strings.TrimSpace(sortBy)
if sortBy == "" || sortBy == "image" {
sortBy = "product_code"
desc = false
}
sort.SliceStable(rows, func(i, j int) bool {
cmp := productPerformanceExcelCompare(rows[i], rows[j], sortBy)
if cmp == 0 {
cmp = strings.Compare(productPerformanceExcelHierarchySortKey(rows[i]), productPerformanceExcelHierarchySortKey(rows[j]))
}
if desc {
return cmp > 0
}
return cmp < 0
})
}
func productPerformanceExcelCompare(a, b *productPerformanceExcelVariant, sortBy string) int {
if productPerformanceExcelIsNumericSort(sortBy) {
av := productPerformanceExcelSortNumber(a, sortBy)
bv := productPerformanceExcelSortNumber(b, sortBy)
if av < bv {
return -1
}
if av > bv {
return 1
}
return 0
}
return strings.Compare(productPerformanceExcelNormalize(productPerformanceExcelSortText(a, sortBy)), productPerformanceExcelNormalize(productPerformanceExcelSortText(b, sortBy)))
}
func productPerformanceExcelIsNumericSort(sortBy string) bool {
switch sortBy {
case "stock_qty", "sales_qty_90d", "sales_qty_180d", "sales_qty_365d", "sales_qty_total",
"sales_usd_90d", "sales_usd_180d", "sales_usd_365d", "sales_usd_total",
"avg_price_usd_90d", "avg_price_usd_180d", "avg_price_usd_365d", "avg_price_usd_total",
"stock_turnover_90d", "stock_turnover_180d", "stock_turnover_365d", "stock_turnover_total",
"base_price_usd", "cost_price_usd", "market_count_90d", "customer_count_90d", "market_count_total", "customer_count_total",
"performance_score", "performance_score_90d", "performance_score_total":
return true
default:
return false
}
}
func productPerformanceExcelSortNumber(row *productPerformanceExcelVariant, sortBy string) float64 {
switch sortBy {
case "stock_qty":
return row.StockQty
case "sales_qty_90d":
return row.SalesQty90
case "sales_qty_180d":
return row.SalesQty180
case "sales_qty_365d":
return row.SalesQty365
case "sales_qty_total":
return row.totalQty()
case "sales_usd_90d":
return row.SalesUSD90
case "sales_usd_180d":
return row.SalesUSD180
case "sales_usd_365d":
return row.SalesUSD365
case "sales_usd_total":
return row.totalUSD()
case "avg_price_usd_90d":
return productPerformanceExcelAvgPrice(row.SalesUSD90, row.SalesQty90)
case "avg_price_usd_180d":
return productPerformanceExcelAvgPrice(row.SalesUSD180, row.SalesQty180)
case "avg_price_usd_365d":
return productPerformanceExcelAvgPrice(row.SalesUSD365, row.SalesQty365)
case "avg_price_usd_total":
return productPerformanceExcelAvgPrice(row.totalUSD(), row.totalQty())
case "stock_turnover_90d":
return productPerformanceExcelStockTurnover(row.SalesQty90, row.StockQty)
case "stock_turnover_180d":
return productPerformanceExcelStockTurnover(row.SalesQty180, row.StockQty)
case "stock_turnover_365d":
return productPerformanceExcelStockTurnover(row.SalesQty365, row.StockQty)
case "stock_turnover_total":
return productPerformanceExcelStockTurnover(row.totalQty(), row.StockQty)
case "base_price_usd":
return row.BasePriceUSD
case "cost_price_usd":
return row.CostPriceUSD
case "market_count_90d":
return float64(row.marketCount90())
case "customer_count_90d":
return float64(row.CustomerCount90)
case "market_count_total":
return float64(row.marketCountTotal())
case "customer_count_total":
return float64(row.CustomerCountTotal)
case "performance_score", "performance_score_90d":
return productPerformanceExcelProductScore("90d", row.SalesUSD90, productPerformanceExcelStockTurnover(row.SalesQty90, row.StockQty), float64(row.marketCount90()), float64(row.CustomerCount90), productPerformanceExcelMargin(row.SalesUSD90, row.SalesQty90, row.CostPriceUSD))
case "performance_score_total":
return productPerformanceExcelProductScore("total", row.totalUSD(), productPerformanceExcelStockTurnover(row.totalQty(), row.StockQty), float64(row.marketCountTotal()), float64(row.CustomerCountTotal), productPerformanceExcelMargin(row.totalUSD(), row.totalQty(), row.CostPriceUSD))
default:
return 0
}
}
func productPerformanceExcelSortText(row *productPerformanceExcelVariant, sortBy string) string {
switch sortBy {
case "product_code":
return row.ProductCode
case "color_yaka":
return productPerformanceExcelColorYaka(row.ColorCode, row.ColorDescription, row.YakaKodu)
case "color_code":
return row.ColorCode
case "yaka_kodu":
return row.YakaKodu
case "item_description":
return row.ItemDescription
case "kategori":
return row.Kategori
case "askili_yan":
return row.AskiliYan
case "urun_ilk_grubu":
return row.UrunIlkGrubu
case "urun_ana_grubu":
return row.UrunAnaGrubu
case "urun_alt_grubu":
return row.UrunAltGrubu
case "market_key":
return row.marketsLabel()
case "performance_bucket":
return productPerformanceExcelStatus(row)
default:
return productPerformanceExcelHierarchySortKey(row)
}
}
func productPerformanceExcelStatsFor(rows []*productPerformanceExcelVariant) productPerformanceExcelStats {
var stats productPerformanceExcelStats
var c90, c180, c365, cTotal float64
for _, row := range rows {
if row.SalesUSD90 > 0 {
stats.AvgSalesUSD90 += row.SalesUSD90
c90++
}
if row.SalesUSD180 > 0 {
stats.AvgSalesUSD180 += row.SalesUSD180
c180++
}
if row.SalesUSD365 > 0 {
stats.AvgSalesUSD365 += row.SalesUSD365
c365++
}
if row.totalUSD() > 0 {
stats.AvgSalesUSDTotal += row.totalUSD()
cTotal++
}
}
if c90 > 0 {
stats.AvgSalesUSD90 /= c90
}
if c180 > 0 {
stats.AvgSalesUSD180 /= c180
}
if c365 > 0 {
stats.AvgSalesUSD365 /= c365
}
if cTotal > 0 {
stats.AvgSalesUSDTotal /= cTotal
}
return stats
}
func productPerformanceExcelVariantKey(productCode, colorCode, yakaKodu string) string {
return strings.ToUpper(strings.TrimSpace(productCode)) + "|" + strings.ToUpper(strings.TrimSpace(colorCode)) + "|" + strings.ToUpper(strings.TrimSpace(yakaKodu))
}
func productPerformanceExcelHierarchySortKey(row *productPerformanceExcelVariant) string {
return strings.Join([]string{row.UrunIlkGrubu, row.AskiliYan, row.Kategori, row.UrunAnaGrubu, row.UrunAltGrubu, row.ProductCode, row.ColorCode, row.YakaKodu}, "|")
}
func productPerformanceExcelColorYaka(colorCode, colorDescription, yakaKodu string) string {
color := strings.TrimSpace(colorCode)
if desc := strings.TrimSpace(colorDescription); color != "" && desc != "" {
color = color + "-" + strings.ToUpper(desc)
}
yaka := strings.TrimSpace(yakaKodu)
parts := make([]string, 0, 2)
if color != "" && color != "-" {
parts = append(parts, color)
}
if yaka != "" && yaka != "-" {
parts = append(parts, yaka)
}
return strings.Join(parts, "/")
}
func productPerformanceExcelMarketName(value string) string {
parts := strings.Split(value, "|")
for i := len(parts) - 1; i >= 0; i-- {
part := strings.TrimSpace(parts[i])
if part != "" {
return part
}
}
return ""
}
func productPerformanceExcelStatus(row *productPerformanceExcelVariant) string {
switch {
case row.totalQty() > 0 && row.totalUSD() <= 0:
return "Ciro/Fiyat Kontrol"
case row.totalQty() <= 0 && row.StockQty > 0:
return "Stok Riski"
case productPerformanceExcelMargin(row.totalUSD(), row.totalQty(), row.CostPriceUSD) < 0:
return "Fiyat Baskısı"
case productPerformanceExcelProductScore("total", row.totalUSD(), productPerformanceExcelStockTurnover(row.totalQty(), row.StockQty), float64(row.marketCountTotal()), float64(row.CustomerCountTotal), productPerformanceExcelMargin(row.totalUSD(), row.totalQty(), row.CostPriceUSD)) >= 70:
return "Yıldız Ürün"
default:
return productPerformanceExcelBucketLabel(row.PerformanceBucket)
}
}
func productPerformanceExcelRecommendation(row *productPerformanceExcelVariant) string {
switch {
case row.totalQty() > 0 && row.totalUSD() <= 0:
return "Satış adedi var ama USD ciro/fiyat yok. Satış tutarı aktarımı ve döviz dönüşümü kontrol edilmeli."
case row.totalQty() <= 0 && row.StockQty > 0:
return "Satış yok, stok duruyor. Piyasa/fiyat aksiyonu gerekli."
case row.Recommendation != "":
return row.Recommendation
default:
return "Düzenli takip."
}
}
func productPerformanceExcelBucketLabel(value string) string {
switch strings.TrimSpace(value) {
case "YILDIZ_URUN":
return "Yıldız Ürün"
case "STOKSUZ_TALEP":
return "Stoksuz Talep"
case "STOK_RISKI":
return "Stok Riski"
case "FIYAT_BASKISI":
return "Fiyat Baskısı"
case "FIYAT_FIRSATI":
return "Fiyat Fırsatı"
case "MALIYET_YOK":
return "Maliyet Yok"
case "TAKIP":
return "Takip"
default:
return strings.TrimSpace(value)
}
}
func productPerformanceExcelCleanOptional(value string) string {
value = strings.TrimSpace(value)
if value == "-" {
return ""
}
return value
}
func productPerformanceExcelNormalize(value string) string {
return strings.ToUpper(strings.TrimSpace(value))
}
func productPerformanceExcelFirstNonEmpty(values ...string) string {
for _, value := range values {
value = strings.TrimSpace(value)
if value != "" {
return value
}
}
return ""
}
func productPerformanceExcelFirstNonZero(values ...float64) float64 {
for _, value := range values {
if value != 0 && !math.IsNaN(value) && !math.IsInf(value, 0) {
return value
}
}
return 0
}
func productPerformanceExcelAvgPrice(salesUSD, qty float64) float64 {
if qty <= 0 {
return 0
}
return salesUSD / qty
}
func productPerformanceExcelStockTurnover(salesQty, stockQty float64) float64 {
if stockQty <= 0 {
return 0
}
return salesQty / stockQty
}
func productPerformanceExcelGrossProfit(salesUSD, qty, unitCost float64) float64 {
if qty <= 0 {
return 0
}
return salesUSD - qty*unitCost
}
func productPerformanceExcelMargin(salesUSD, qty, unitCost float64) float64 {
if salesUSD <= 0 {
return 0
}
return productPerformanceExcelGrossProfit(salesUSD, qty, unitCost) / salesUSD
}
func productPerformanceExcelProductScore(suffix string, salesUSD, stockTurnover, marketCount, customerCount, margin float64) float64 {
if salesUSD <= 0 {
return 1
}
revenueScore := productPerformanceExcelRatioScore(salesUSD, productPerformanceExcelProductRevenueTarget(suffix))
score := 0.30*productPerformanceExcelMarginScore(margin) +
0.20*productPerformanceExcelRatioScore(stockTurnover, 1.50) +
0.20*revenueScore +
0.15*productPerformanceExcelRatioScore(marketCount, 8) +
0.15*productPerformanceExcelRatioScore(customerCount, 25)
return productPerformanceExcelRoundScore(score)
}
func productPerformanceExcelProductRevenueTarget(suffix string) float64 {
switch suffix {
case "180d":
return 20000
case "365d":
return 40000
case "total":
return 120000
default:
return 10000
}
}
func productPerformanceExcelMarginScore(margin float64) float64 {
if margin < 0 {
margin = 0
}
return productPerformanceExcelRatioScore(margin, 0.40)
}
func productPerformanceExcelRatioScore(value, target float64) float64 {
if target <= 0 || value <= 0 {
return 0
}
score := value * 100 / target
if score > 100 {
return 100
}
if score < 0 {
return 0
}
return score
}
func productPerformanceExcelRoundScore(score float64) float64 {
if score < 0 {
score = 0
}
if score > 100 {
score = 100
}
return math.Round(score*10000) / 10000
}
func productPerformanceExcelFloat(value any) float64 {
switch v := value.(type) {
case float64:
if math.IsNaN(v) || math.IsInf(v, 0) {
return 0
}
return v
case float32:
return productPerformanceExcelFloat(float64(v))
case int:
return float64(v)
case int64:
return float64(v)
case int32:
return float64(v)
case uint:
return float64(v)
case uint64:
return float64(v)
case uint32:
return float64(v)
default:
return 0
}
}
func productPerformanceExcelSortedSetLabel(values map[string]bool) string {
out := make([]string, 0, len(values))
for value := range values {
if strings.TrimSpace(value) != "" {
out = append(out, value)
}
}
sort.Strings(out)
return strings.Join(out, ", ")
}
func productPerformanceExcelColumnWidth(header, kind string) float64 {
if kind == "text" {
if strings.Contains(header, "Piyasalar") || strings.Contains(header, "Öneri") {
return 34
}
if len([]rune(header)) > 14 {
return 24
}
return 16
}
if strings.Contains(header, "Marj") || strings.Contains(header, "Skor") {
return 14
}
return 16
}
func productPerformanceExcelMaxInt(a, b int) int {
if a > b {
return a
}
return b
}