Fix product performance grouped JSON build

2026-07-05 20:31:27 +03:00
parent b2113a8d49
commit fbdde54eee
10 changed files with 1383 additions and 144 deletions
@@ -60,6 +60,7 @@
            </div>
          </div>
        </q-btn-dropdown>
+        <q-btn dense outline color="positive" icon="grid_on" label="Excel" :loading="excelExportLoading" :disable="pageBusy || excelExportLoading" @click="exportProductPerformanceExcel" />
        <q-btn dense outline color="secondary" icon="refresh" label="Yenile" :loading="loading" :disable="pageBusy" @click="reload" />
      </div>
    </div>
@@ -1520,7 +1521,7 @@
 <script setup>
 import { computed, nextTick, onBeforeUnmount, onMounted, reactive, ref, watch } from 'vue'
 import { Notify } from 'quasar'
-import api from 'src/services/api'
+import api, { extractApiErrorDetail } from 'src/services/api'
 import { useProductPerformanceStore } from 'src/stores/productPerformanceStore'

 const performanceStore = useProductPerformanceStore()
@@ -1544,6 +1545,7 @@ function formatPercent (value) {
 }

 const loading = ref(false)
+const excelExportLoading = ref(false)
 const rows = ref([])
 const detailMainGroupOptionRows = ref([])
 const generalRows = ref([])
@@ -1658,6 +1660,18 @@ const backendGroupedFilterFields = new Set([
  'customer_name',
  'performance_bucket'
 ])
+const productPerformanceExcelExportFilterFields = new Set([
+  'kategori',
+  'askili_yan',
+  'urun_ilk_grubu',
+  'urun_ana_grubu',
+  'urun_alt_grubu',
+  'product_code',
+  'color_yaka',
+  'color_code',
+  'yaka_kodu',
+  'performance_bucket'
+])
 const performanceTabs = [
  { name: 'products', icon: 'dashboard', label: 'Genel Özet KPI' },
  { name: 'product_detail', icon: 'category', label: 'Detay KPI' },
@@ -2312,6 +2326,105 @@ const customerPeriodScoreColumns = [
  { name: 'customer_score_total', label: 'Genel Müşteri Skor', field: row => formatNumber(row.customer_score_total, 2), align: 'right', sortable: true }
 ]

+const metricLabelOverrides = {
+  stock_qty: 'Toplam Stok',
+  sales_qty: 'Toplam Adet',
+  sales_qty_90d: '90G Toplam Adet',
+  sales_qty_180d: '180G Toplam Adet',
+  sales_qty_365d: '360G Toplam Adet',
+  sales_qty_total: 'Genel Toplam Adet',
+  sales_usd: 'Toplam Ciro USD',
+  sales_usd_90d: '90G Toplam Ciro USD',
+  sales_usd_180d: '180G Toplam Ciro USD',
+  sales_usd_365d: '360G Toplam Ciro USD',
+  sales_usd_total: 'Genel Toplam Ciro USD',
+  avg_price_usd: 'Ağ. Ort. Fiyat USD',
+  avg_price_usd_90d: '90G Ağ. Ort. Fiyat USD',
+  avg_price_usd_180d: '180G Ağ. Ort. Fiyat USD',
+  avg_price_usd_365d: '360G Ağ. Ort. Fiyat USD',
+  avg_price_usd_total: 'Genel Ağ. Ort. Fiyat USD',
+  base_price_usd: 'Ort. Taban Maliyet USD',
+  cost_price_usd: 'Ort. Çıplak Maliyet USD',
+  base_price_usd_90d: '90G Ort. Taban Maliyet USD',
+  cost_price_usd_90d: '90G Ort. Çıplak Maliyet USD',
+  base_price_usd_180d: '180G Ort. Taban Maliyet USD',
+  cost_price_usd_180d: '180G Ort. Çıplak Maliyet USD',
+  base_price_usd_365d: '360G Ort. Taban Maliyet USD',
+  cost_price_usd_365d: '360G Ort. Çıplak Maliyet USD',
+  base_price_usd_total: 'Genel Ort. Taban Maliyet USD',
+  cost_price_usd_total: 'Genel Ort. Çıplak Maliyet USD',
+  unit_profit_base_90d: '90G Ağ. Ort. Birim Taban K/Z USD',
+  unit_profit_cost_90d: '90G Ağ. Ort. Birim Çıplak K/Z USD',
+  unit_profit_base_180d: '180G Ağ. Ort. Birim Taban K/Z USD',
+  unit_profit_cost_180d: '180G Ağ. Ort. Birim Çıplak K/Z USD',
+  unit_profit_base_total: 'Genel Ağ. Ort. Birim Taban K/Z USD',
+  unit_profit_cost_total: 'Genel Ağ. Ort. Birim Çıplak K/Z USD',
+  gross_profit_usd_90d: '90G Toplam K/Z USD',
+  gross_profit_usd_180d: '180G Toplam K/Z USD',
+  gross_profit_usd_total: 'Genel Toplam K/Z USD',
+  gross_profit_base_usd_90d: '90G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_90d: '90G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_180d: '180G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_180d: '180G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_365d: '360G Taban Toplam K/Z USD',
+  gross_profit_cost_usd_365d: '360G Çıplak Toplam K/Z USD',
+  gross_profit_base_usd_total: 'Genel Taban Toplam K/Z USD',
+  gross_profit_cost_usd_total: 'Genel Çıplak Toplam K/Z USD',
+  gross_margin_base_90d: '90G Ağ. Ort. Taban Marj',
+  gross_margin_cost_90d: '90G Ağ. Ort. Çıplak Marj',
+  gross_margin_base_180d: '180G Ağ. Ort. Taban Marj',
+  gross_margin_cost_180d: '180G Ağ. Ort. Çıplak Marj',
+  gross_margin_base_365d: '360G Ağ. Ort. Taban Marj',
+  gross_margin_cost_365d: '360G Ağ. Ort. Çıplak Marj',
+  gross_margin_base_total: 'Genel Ağ. Ort. Taban Marj',
+  gross_margin_cost_total: 'Genel Ağ. Ort. Çıplak Marj',
+  performance_score: 'Ağ. Ort. Skor',
+  performance_score_90d: '90G Ağ. Ort. Ürün Skor',
+  performance_score_180d: '180G Ağ. Ort. Ürün Skor',
+  performance_score_365d: '360G Ağ. Ort. Ürün Skor',
+  performance_score_total: 'Genel Ağ. Ort. Ürün Skor',
+  customer_score_90d: '90G Ağ. Ort. Müşteri Skor',
+  customer_score_180d: '180G Ağ. Ort. Müşteri Skor',
+  customer_score_365d: '360G Ağ. Ort. Müşteri Skor',
+  customer_score_total: 'Genel Ağ. Ort. Müşteri Skor',
+  market_count_90d: '90G Tekil Piyasa',
+  customer_count_90d: '90G Tekil Müşteri',
+  market_count_total: 'Genel Tekil Piyasa',
+  customer_count_total: 'Genel Tekil Müşteri',
+  sales_index_90d: '90G Ağ. Ort. Endeks',
+  sales_index_total: 'Genel Ağ. Ort. Endeks',
+  stock_days_90d: '90G Ağ. Ort. Stok Gün',
+  stock_days_180d: '180G Ağ. Ort. Stok Gün',
+  stock_days_365d: '360G Ağ. Ort. Stok Gün',
+  stock_days_total: 'Genel Ağ. Ort. Stok Gün',
+  avg_daily_sales_total: 'Genel Günlük Ort. Adet'
+}
+
+function applyMetricLabelOverrides (...columnGroups) {
+  for (const group of columnGroups) {
+    for (const col of group || []) {
+      if (metricLabelOverrides[col?.name]) col.label = metricLabelOverrides[col.name]
+    }
+  }
+}
+
+applyMetricLabelOverrides(
+  detailSalesColumns,
+  columns,
+  generalColumns,
+  orderAnalysisColumns,
+  orderGroupColumns,
+  orderProductCustomerColumns,
+  orderMarketDetailColumns,
+  idleColumns,
+  marketColumns,
+  countryColumns,
+  customerColumns,
+  salesBreakdownColumns,
+  productPeriodScoreColumns,
+  customerPeriodScoreColumns
+)
+
 function ensureColumns (targetColumns, columnsToEnsure) {
  const existing = new Set(targetColumns.map(col => col.name))
  for (const col of columnsToEnsure) {
@@ -2922,7 +3035,7 @@ function backendGroupedFilterOptionParams (tabKey) {
    mode: tabKey,
    groupLevels: (tabGroupLevels[tabKey] || groupLevels).map(level => level.key),
    fields,
-    limit: 5000
+    limit: 50000
  }
  if (tabKey === 'product_detail') params.urunAnaGrubu = selectedDetailMainGroup.value
  return params
@@ -3283,7 +3396,9 @@ function makeGroupRow (key, level, groupDef, value, groupRows) {
    sales_index_total: averageRows(groupRows, 'sales_index_total'),
    performance_bucket: dominantValue(groupRows, 'performance_bucket'),
    ...aggregate,
-    performance_score: groupPerformanceScore(aggregate, groupDef.key),
+    performance_score: Object.prototype.hasOwnProperty.call(aggregate, 'performance_score')
+      ? aggregate.performance_score
+      : groupPerformanceScore(aggregate, groupDef.key),
    recommendation: dominantValue(groupRows, 'recommendation') || `${formatNumber(groupRows.length, 0)} satır`
  }
 }
@@ -3372,15 +3487,15 @@ function applyDerivedGroupMetrics (out, sourceRows, groupField = '') {
  if (sourceRows.some(row => row.performance_bucket)) {
    out.performance_bucket = dominantValue(sourceRows, 'performance_bucket')
  }
-  out.customer_score_90d = customerSalesPeriodScore(periodMetricSource(out, '90d'))
-  out.customer_score_180d = customerSalesPeriodScore(periodMetricSource(out, '180d'))
-  out.customer_score_365d = customerSalesPeriodScore(periodMetricSource(out, '365d'))
-  out.customer_score_total = customerSalesPeriodScore(periodMetricSource(out, 'total'))
-  out.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(out, '90d'))
-  out.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(out, '180d'))
-  out.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(out, '365d'))
-  out.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(out, 'total'))
-  out.performance_score = groupPerformanceScore(out, groupField)
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_90d')) out.customer_score_90d = customerSalesPeriodScore(periodMetricSource(out, '90d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_180d')) out.customer_score_180d = customerSalesPeriodScore(periodMetricSource(out, '180d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_365d')) out.customer_score_365d = customerSalesPeriodScore(periodMetricSource(out, '365d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'customer_score_total')) out.customer_score_total = customerSalesPeriodScore(periodMetricSource(out, 'total'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_90d')) out.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(out, '90d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_180d')) out.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(out, '180d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_365d')) out.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(out, '365d'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score_total')) out.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(out, 'total'))
+  if (!Object.prototype.hasOwnProperty.call(out, 'performance_score')) out.performance_score = groupPerformanceScore(out, groupField)
 }

 function groupPerformanceScore (row, groupField = '') {
@@ -3672,18 +3787,12 @@ function weightedAverageProductCost (sourceRows, valueField) {
    if (!key || variants.has(key)) continue
    variants.set(key, row)
  }
-  const stockSource = variants.size > 0 ? Array.from(variants.values()) : sourceRows
-  const stockRows = stockSource
-    .map(row => ({
-      value: Number(row[valueField] || 0),
-      qty: Number(row.stock_qty || 0)
-    }))
-    .filter(row => Number.isFinite(row.value) && Number.isFinite(row.qty) && row.value > 0 && row.qty > 0)
-  const stockQty = stockRows.reduce((sum, row) => sum + row.qty, 0)
-  if (stockQty > 0) {
-    return stockRows.reduce((sum, row) => sum + row.value * row.qty, 0) / stockQty
-  }
-  return 0
+  const averageSource = variants.size > 0 ? Array.from(variants.values()) : sourceRows
+  const values = averageSource
+    .map(row => Number(row[valueField] || 0))
+    .filter(value => Number.isFinite(value) && value > 0)
+  if (!values.length) return 0
+  return values.reduce((sum, value) => sum + value, 0) / values.length
 }

 function marginFromSalesCost (salesUSD, qty, unitCost) {
@@ -3878,27 +3987,50 @@ function formatGroupCell (row, colOrName) {
 }

 function withProductMargins (row) {
+  const salesQtyTotal = Number(row?.sales_qty_total || 0)
+  const salesUSDTotal = Number(row?.sales_usd_total || 0)
+  const basePrice = Number(row?.base_price_usd || 0)
+  const costPrice = Number(row?.cost_price_usd || 0)
+  const grossProfitBaseTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * basePrice) : 0
+  const grossProfitCostTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * costPrice) : 0
  return {
    ...row,
    avg_price_usd_365d: Number(row?.sales_qty_365d || 0) > 0 ? Number(row?.sales_usd_365d || 0) / Number(row?.sales_qty_365d || 0) : 0,
+    avg_price_usd_total: salesQtyTotal > 0 ? salesUSDTotal / salesQtyTotal : Number(row?.avg_price_usd_total || 0),
    stock_turnover_90d: existingOrStockTurnover(row?.stock_turnover_90d, row?.sales_qty_90d, row?.stock_qty),
    stock_turnover_180d: existingOrStockTurnover(row?.stock_turnover_180d, row?.sales_qty_180d, row?.stock_qty),
    stock_turnover_365d: existingOrStockTurnover(row?.stock_turnover_365d, row?.sales_qty_365d, row?.stock_qty),
+    stock_turnover_total: existingOrStockTurnover(row?.stock_turnover_total, row?.sales_qty_total, row?.stock_qty),
+    gross_profit_base_usd_total: grossProfitBaseTotal,
+    gross_profit_cost_usd_total: grossProfitCostTotal,
+    gross_profit_usd_total: Number(row?.gross_profit_usd_total ?? grossProfitCostTotal),
    gross_margin_base_90d: marginFromSalesCost(row?.sales_usd_90d, row?.sales_qty_90d, row?.base_price_usd),
    gross_margin_cost_90d: marginFromSalesCost(row?.sales_usd_90d, row?.sales_qty_90d, row?.cost_price_usd),
    gross_margin_base_180d: marginFromSalesCost(row?.sales_usd_180d, row?.sales_qty_180d, row?.base_price_usd),
    gross_margin_cost_180d: marginFromSalesCost(row?.sales_usd_180d, row?.sales_qty_180d, row?.cost_price_usd),
    gross_margin_base_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.base_price_usd),
-    gross_margin_cost_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.cost_price_usd)
+    gross_margin_cost_365d: marginFromSalesCost(row?.sales_usd_365d, row?.sales_qty_365d, row?.cost_price_usd),
+    gross_margin_base_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, basePrice),
+    gross_margin_cost_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, costPrice)
  }
 }

 function withGeneralMargins (row) {
+  const salesQtyTotal = Number(row?.sales_qty_total || 0)
+  const salesUSDTotal = Number(row?.sales_usd_total || 0)
+  const basePrice = Number(row?.base_price_usd || 0)
+  const costPrice = Number(row?.cost_price_usd || 0)
+  const grossProfitBaseTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * basePrice) : 0
+  const grossProfitCostTotal = salesQtyTotal > 0 ? salesUSDTotal - (salesQtyTotal * costPrice) : 0
  return {
    ...row,
+    avg_price_usd_total: salesQtyTotal > 0 ? salesUSDTotal / salesQtyTotal : Number(row?.avg_price_usd_total || 0),
    stock_turnover_total: existingOrStockTurnover(row?.stock_turnover_total, row?.sales_qty_total, row?.stock_qty),
-    gross_margin_base_total: marginFromSalesCost(row?.sales_usd_total, row?.sales_qty_total, row?.base_price_usd),
-    gross_margin_cost_total: marginFromSalesCost(row?.sales_usd_total, row?.sales_qty_total, row?.cost_price_usd)
+    gross_profit_base_usd_total: grossProfitBaseTotal,
+    gross_profit_cost_usd_total: grossProfitCostTotal,
+    gross_profit_usd_total: Number(row?.gross_profit_usd_total ?? grossProfitCostTotal),
+    gross_margin_base_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, basePrice),
+    gross_margin_cost_total: marginFromSalesCost(salesUSDTotal, salesQtyTotal, costPrice)
  }
 }

@@ -4276,19 +4408,19 @@ function normalizeRow (row) {
  const color = String(row?.color_code || '').trim()
  const yaka = String(row?.yaka_kodu || '').trim()
  const market = String(row?.market_key || '').trim()
-  return withPeriodScores(withProductMargins({
+  return withPeriodScores(withGeneralMargins(withProductMargins({
    ...row,
    row_key: `${product}|${color}|${yaka}|${market}`
-  }))
+  })))
 }

 function withPeriodScores (row) {
  const next = { ...row }
-  next.performance_score_90d = Number(next.performance_score_90d || productSalesPeriodScore(productPeriodMetricSource(next, '90d')))
-  next.performance_score_180d = Number(next.performance_score_180d || productSalesPeriodScore(productPeriodMetricSource(next, '180d')))
-  next.performance_score_365d = Number(next.performance_score_365d || productSalesPeriodScore(productPeriodMetricSource(next, '365d')))
-  next.performance_score_total = Number(next.performance_score_total || productSalesPeriodScore(productPeriodMetricSource(next, 'total')))
-  if (!Number(next.performance_score || 0)) next.performance_score = next.performance_score_90d
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_90d')) next.performance_score_90d = productSalesPeriodScore(productPeriodMetricSource(next, '90d'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_180d')) next.performance_score_180d = productSalesPeriodScore(productPeriodMetricSource(next, '180d'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_365d')) next.performance_score_365d = productSalesPeriodScore(productPeriodMetricSource(next, '365d'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score_total')) next.performance_score_total = productSalesPeriodScore(productPeriodMetricSource(next, 'total'))
+  if (!Object.prototype.hasOwnProperty.call(next, 'performance_score')) next.performance_score = next.performance_score_90d
  return next
 }

@@ -4422,16 +4554,6 @@ function displayMarketName (value) {
  return parts.length ? parts[parts.length - 1] : ''
 }

-function normalizeUploadsPath (storagePath) {
-  const raw = String(storagePath || '').trim()
-  if (!raw) return ''
-  const normalized = raw.replace(/\\/g, '/')
-  const idx = normalized.toLowerCase().indexOf('/uploads/')
-  if (idx >= 0) return normalized.slice(idx)
-  if (normalized.toLowerCase().startsWith('uploads/')) return `/${normalized}`
-  return ''
-}
-
 function resolveProductImageUrl (item) {
  return resolveProductImageUrls(item)[0] || ''
 }
@@ -4450,18 +4572,9 @@ function resolveProductImageUrls (item) {
  const fullURL = String(item.full_url || item.fullUrl || '').trim()
  addURL(fullURL)

-  const uploadsPath = normalizeUploadsPath(item.storage_path || item.storage || '')
-  addURL(uploadsPath)
-
-  const fileName = String(item.file_name || item.FileName || '').trim()
-  if (fileName) addURL(`/uploads/image/${fileName}`)
-
  const contentURL = String(item.content_url || item.ContentURL || '').trim()
  if (contentURL.startsWith('/api/')) addURL(contentURL)
  else if (contentURL.startsWith('/')) addURL(`/api${contentURL}`)
-
-  const imageId = Number(item.id || item.ID || 0)
-  if (Number.isFinite(imageId) && imageId > 0) addURL(`/api/product-images/${imageId}/content`)
  return urls
 }

@@ -4897,6 +5010,72 @@ async function timedProductPerformanceGet (label, url, config = {}) {
  }
 }

+function productPerformanceExcelExportTableKey () {
+  if (isProductKpiTab.value) return activeProductTableKey.value
+  if (backendGroupedSupportedTab(activeTab.value)) return activeTab.value
+  return 'products'
+}
+
+function buildProductPerformanceExcelExportFilters () {
+  const tableKey = productPerformanceExcelExportTableKey()
+  const out = {}
+  for (const col of columnsForTableKey(tableKey) || []) {
+    const name = String(col?.name || '').trim()
+    if (!productPerformanceExcelExportFilterFields.has(name)) continue
+    const selected = selectedColumnFilters(tableKey, name)
+    if (selected.length) out[name] = selected
+  }
+  if (activeTab.value === 'product_detail') {
+    const mainGroup = String(selectedDetailMainGroup.value || '').trim()
+    if (mainGroup && !out.urun_ana_grubu?.includes(mainGroup)) {
+      out.urun_ana_grubu = [...(out.urun_ana_grubu || []), mainGroup]
+    }
+  }
+  return out
+}
+
+function productPerformanceExcelFilename (headers = {}) {
+  const disposition = String(headers?.['content-disposition'] || headers?.['Content-Disposition'] || '').trim()
+  const utfMatch = disposition.match(/filename\*=UTF-8''([^;]+)/i)
+  if (utfMatch?.[1]) return decodeURIComponent(utfMatch[1].replaceAll('"', '').trim())
+  const match = disposition.match(/filename="?([^";]+)"?/i)
+  return match?.[1]?.trim() || `product_performance_color_yaka_${new Date().toISOString().slice(0, 10)}.xlsx`
+}
+
+function downloadProductPerformanceExcelBlob (blob, filename) {
+  const url = URL.createObjectURL(blob)
+  const a = document.createElement('a')
+  a.href = url
+  a.download = filename
+  document.body.appendChild(a)
+  a.click()
+  a.remove()
+  URL.revokeObjectURL(url)
+}
+
+async function exportProductPerformanceExcel () {
+  if (excelExportLoading.value) return
+  excelExportLoading.value = true
+  try {
+    const tableKey = productPerformanceExcelExportTableKey()
+    const pagination = tablePagination[tableKey] || tablePagination.products || {}
+    const response = await api.post('/pricing/product-performance/export-excel', {
+      filters: buildProductPerformanceExcelExportFilters(),
+      sort_by: pagination.sortBy || '',
+      descending: pagination.descending !== false
+    }, {
+      responseType: 'blob',
+      timeout: 180000
+    })
+    downloadProductPerformanceExcelBlob(response.data, productPerformanceExcelFilename(response.headers || {}))
+  } catch (err) {
+    const detail = await extractApiErrorDetail(err)
+    Notify.create({ type: 'negative', message: detail || 'Excel çıktısı alınamadı' })
+  } finally {
+    excelExportLoading.value = false
+  }
+}
+
 async function reload () {
  loading.value = true
  startLoadingTimer('Rapor verileri hazırlanıyor...')