mall数据库文件

services/analytics/deliveryAnalysisService.uts

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+import supa, { ensureSupabaseReady } from '@/components/supadb/aksupainstance.uts'
+import { computeDateRange } from './dateRange.uts'
+
+export type DeliveryAnalysisData = {
+  trendList: Array<UTSJSONObject>
+  topList: Array<UTSJSONObject>
+  startIso: string
+  endIso: string
+}
+
+export async function fetchDeliveryAnalysis(period: string): Promise<DeliveryAnalysisData> {
+  const { startIso, endIso } = computeDateRange(period)
+
+  await ensureSupabaseReady()
+
+  // 优先走 RPC（需要在 Supabase 执行 DELIVERY_ANALYSIS_RPCS.sql 创建函数）
+  let trendList: Array<UTSJSONObject> = []
+  let topList: Array<UTSJSONObject> = []
+
+  const trendRes: any = await supa.rpc('rpc_delivery_efficiency_daily', {
+    p_start: startIso,
+    p_end: endIso
+  } as UTSJSONObject)
+
+  if (trendRes.status === 404) {
+    // RPC 不存在：降级到直查表聚合（测试阶段兜底）
+    const taskRes: any = await supa
+      .from('ml_delivery_tasks')
+      .select('id,driver_id,assigned_at,delivered_at,delivery_fee', {})
+      .eq('status', 5)
+      .gte('assigned_at', startIso)
+      .order('assigned_at', { ascending: true } as any)
+      .execute()
+
+    if (taskRes?.error != null) throw taskRes.error
+
+    const rowsAny = (taskRes.data != null ? taskRes.data : []) as any
+    const tasks = Array.isArray(rowsAny) ? (rowsAny as Array<UTSJSONObject>) : []
+
+    const dayAgg = new Map<string, UTSJSONObject>()
+    const driverAgg = new Map<string, number>()
+    const driverFeeAgg = new Map<string, number>()
+    const driverTimeAgg = new Map<string, number>()
+
+    for (let i = 0; i < tasks.length; i++) {
+      const t = tasks[i]
+      const assignedAt = t.getString('assigned_at') ?? ''
+      const deliveredAt = t.getString('delivered_at') ?? ''
+      const driverId = t.getString('driver_id') ?? ''
+      if (assignedAt.trim() === '' || deliveredAt.trim() === '') continue
+
+      const day = assignedAt.length >= 10 ? assignedAt.substring(0, 10) : assignedAt
+      const a = new Date(assignedAt)
+      const d = new Date(deliveredAt)
+      const diffMin = Math.max(0, (d.getTime() - a.getTime()) / 60000)
+      const fee = t.getNumber('delivery_fee') ?? 0
+
+      const old = dayAgg.get(day)
+      if (old == null) {
+        const obj = new UTSJSONObject()
+        obj.set('day', day)
+        obj.set('completed_orders', 1)
+        obj.set('sum_minutes', diffMin)
+        obj.set('total_fee', fee)
+        dayAgg.set(day, obj)
+      } else {
+        old.set('completed_orders', (old.getNumber('completed_orders') ?? 0) + 1)
+        old.set('sum_minutes', (old.getNumber('sum_minutes') ?? 0) + diffMin)
+        old.set('total_fee', (old.getNumber('total_fee') ?? 0) + fee)
+      }
+
+      if (driverId.trim() !== '') {
+        driverAgg.set(driverId, (driverAgg.get(driverId) ?? 0) + 1)
+        driverFeeAgg.set(driverId, (driverFeeAgg.get(driverId) ?? 0) + fee)
+        driverTimeAgg.set(driverId, (driverTimeAgg.get(driverId) ?? 0) + diffMin)
+      }
+    }
+
+    // dayAgg -> trendList
+    const days = Array.from(dayAgg.keys()).sort()
+    for (let i = 0; i < days.length; i++) {
+      const day = days[i]
+      const obj = dayAgg.get(day)
+      if (obj != null) {
+        const completed = obj.getNumber('completed_orders') ?? 0
+        const sumMin = obj.getNumber('sum_minutes') ?? 0
+        const totalFee = obj.getNumber('total_fee') ?? 0
+        const out = new UTSJSONObject()
+        out.set('day', day)
+        out.set('avg_delivery_time', completed > 0 ? sumMin / completed : 0)
+        out.set('total_fee', totalFee)
+        out.set('completed_orders', completed)
+        trendList.push(out)
+      }
+    }
+
+    // driverAgg -> topList (Top10)
+    const drivers = Array.from(driverAgg.entries()).sort((a, b) => b[1] - a[1]).slice(0, 10)
+    for (let i = 0; i < drivers.length; i++) {
+      const [driverId, orders] = drivers[i]
+      const out = new UTSJSONObject()
+      out.set('driver_id', driverId)
+      out.set('orders', orders)
+      out.set('total_fee', driverFeeAgg.get(driverId) ?? 0)
+      out.set('total_minutes', driverTimeAgg.get(driverId) ?? 0)
+      topList.push(out)
+    }
+  } else if (trendRes.error != null) {
+    throw trendRes.error
+  } else {
+    const anyData = trendRes.data as any
+    trendList = Array.isArray(anyData) ? (anyData as Array<UTSJSONObject>) : []
+
+    // Top drivers
+    const topRes = await supa.rpc('rpc_delivery_efficiency_top_drivers', {
+      p_start: startIso,
+      p_end: endIso,
+      p_limit: 10
+    })
+
+    if (topRes.status === 404) {
+      console.warn('rpc_delivery_efficiency_top_drivers not found, top drivers will be empty')
+    } else if (topRes.error != null) {
+      throw topRes.error
+    } else {
+      const topAny = topRes.data as any
+      topList = Array.isArray(topAny) ? (topAny as Array<UTSJSONObject>) : []
+    }
+  }
+
+  return { trendList, topList, startIso, endIso }
+}