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feat/story
| Author | SHA1 | Date | |
|---|---|---|---|
| 6a0a426ed7 | |||
| e4a3524b0f |
3 changed files with 333 additions and 0 deletions
82
__tests__/lib/insights/agent-throughput.test.ts
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82
__tests__/lib/insights/agent-throughput.test.ts
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@ -0,0 +1,82 @@
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import { describe, it, expect, vi, beforeEach } from 'vitest'
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const { mockQueryRaw } = vi.hoisted(() => ({ mockQueryRaw: vi.fn() }))
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vi.mock('@/lib/prisma', () => ({
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prisma: { $queryRaw: mockQueryRaw },
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}))
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import { getJobsPerDay } from '@/lib/insights/agent-throughput'
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// Build a date string for N days ago (UTC)
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function daysAgo(n: number): Date {
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const d = new Date()
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d.setUTCDate(d.getUTCDate() - n)
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return d
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}
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function toUTCDate(d: Date): Date {
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return new Date(Date.UTC(d.getUTCFullYear(), d.getUTCMonth(), d.getUTCDate()))
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}
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beforeEach(() => {
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vi.clearAllMocks()
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})
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describe('getJobsPerDay', () => {
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it('returns a 14-day array zero-filled for missing days', async () => {
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// Only 3 days have data; the rest should be 0
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const day0 = toUTCDate(daysAgo(0))
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const day3 = toUTCDate(daysAgo(3))
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const day7 = toUTCDate(daysAgo(7))
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const dayRows = [
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{ day: day0, status: 'done', count: BigInt(2) },
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{ day: day3, status: 'failed', count: BigInt(1) },
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{ day: day7, status: 'done', count: BigInt(5) },
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]
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const kpiRows = [
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{ today_count: BigInt(2), done_7d: BigInt(7), terminal_7d: BigInt(10), avg_seconds: 120 },
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]
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mockQueryRaw.mockResolvedValueOnce(dayRows).mockResolvedValueOnce(kpiRows)
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const result = await getJobsPerDay('user-1')
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expect(result.perDay).toHaveLength(14)
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// All days should have zero counts except the three we seeded
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const nonZero = result.perDay.filter(
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d => d.done + d.failed + d.queued + d.claimed + d.running + d.cancelled > 0,
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)
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expect(nonZero).toHaveLength(3)
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// Today's done count should be 2
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const today = result.perDay[result.perDay.length - 1]
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expect(today.done).toBe(2)
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})
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it('calculates KPIs correctly', async () => {
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mockQueryRaw.mockResolvedValueOnce([]).mockResolvedValueOnce([
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{ today_count: BigInt(3), done_7d: BigInt(7), terminal_7d: BigInt(10), avg_seconds: 90 },
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])
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const result = await getJobsPerDay('user-1')
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expect(result.kpi.todayCount).toBe(3)
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expect(result.kpi.successRate7d).toBe(0.7)
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expect(result.kpi.avgDurationSeconds7d).toBe(90)
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})
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it('returns zero successRate and null avgDuration when no terminal jobs', async () => {
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mockQueryRaw.mockResolvedValueOnce([]).mockResolvedValueOnce([
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{ today_count: BigInt(0), done_7d: BigInt(0), terminal_7d: BigInt(0), avg_seconds: null },
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])
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const result = await getJobsPerDay('user-1')
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expect(result.kpi.successRate7d).toBe(0)
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expect(result.kpi.avgDurationSeconds7d).toBeNull()
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})
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})
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133
app/(app)/insights/components/agent-throughput.tsx
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133
app/(app)/insights/components/agent-throughput.tsx
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'use client'
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import { useRouter, usePathname, useSearchParams } from 'next/navigation'
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import { useTransition } from 'react'
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import {
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BarChart,
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Bar,
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XAxis,
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YAxis,
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Tooltip,
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ResponsiveContainer,
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} from 'recharts'
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import {
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Select,
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SelectContent,
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SelectItem,
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SelectTrigger,
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SelectValue,
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} from '@/components/ui/select'
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import type { JobsPerDayResult } from '@/lib/insights/agent-throughput'
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import { JOB_STATUS_COLORS } from '@/lib/chart-colors'
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interface Props {
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data: JobsPerDayResult
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productList: { id: string; name: string }[]
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currentProductId?: string
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}
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function formatDuration(seconds: number | null): string {
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if (seconds === null) return '—'
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const m = Math.floor(seconds / 60)
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const s = seconds % 60
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return m > 0 ? `${m}m ${s}s` : `${s}s`
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}
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const STACKED_STATUSES = ['queued', 'claimed', 'running', 'done', 'failed', 'cancelled'] as const
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export function AgentThroughputCard({ data, productList, currentProductId }: Props) {
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const router = useRouter()
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const pathname = usePathname()
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const searchParams = useSearchParams()
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const [isPending, startTransition] = useTransition()
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const { perDay, kpi } = data
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const isEmpty = perDay.every(
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d => d.done + d.failed + d.queued + d.claimed + d.running + d.cancelled === 0,
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)
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function handleProductChange(value: string | null) {
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if (value === null) return
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startTransition(() => {
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const params = new URLSearchParams(searchParams.toString())
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if (value === '__all__') {
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params.delete('product')
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} else {
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params.set('product', value)
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}
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router.replace(`${pathname}?${params.toString()}`)
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})
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}
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return (
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<div className="space-y-4">
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{/* KPI strip + product filter */}
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<div className="flex items-start justify-between gap-4 flex-wrap">
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<div className="flex gap-6">
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<div>
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<div className="text-2xl font-semibold text-foreground">{kpi.todayCount}</div>
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<div className="text-xs text-muted-foreground">Jobs vandaag</div>
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</div>
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<div>
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<div className="text-2xl font-semibold text-foreground">
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{kpi.successRate7d === 0 ? '—' : `${Math.round(kpi.successRate7d * 100)}%`}
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</div>
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<div className="text-xs text-muted-foreground">Success-rate (7d)</div>
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</div>
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<div>
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<div className="text-2xl font-semibold text-foreground">
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{formatDuration(kpi.avgDurationSeconds7d)}
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</div>
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<div className="text-xs text-muted-foreground">Avg duration (7d)</div>
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</div>
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</div>
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{productList.length > 0 && (
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<Select
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value={currentProductId ?? '__all__'}
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onValueChange={handleProductChange}
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>
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<SelectTrigger className="w-44" disabled={isPending}>
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<SelectValue />
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</SelectTrigger>
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<SelectContent>
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<SelectItem value="__all__">Alle producten</SelectItem>
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{productList.map(p => (
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<SelectItem key={p.id} value={p.id}>{p.name}</SelectItem>
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))}
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</SelectContent>
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</Select>
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)}
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</div>
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{/* Chart */}
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{isEmpty ? (
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<p className="text-sm text-muted-foreground py-4 text-center">
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Geen agent-activiteit in de laatste 2 weken
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</p>
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) : (
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<ResponsiveContainer width="100%" height={240}>
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<BarChart data={perDay}>
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<XAxis
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dataKey="day"
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tick={{ fontSize: 11 }}
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tickFormatter={v => (v as string).slice(5)}
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/>
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<YAxis allowDecimals={false} tick={{ fontSize: 11 }} />
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<Tooltip />
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{STACKED_STATUSES.map(status => (
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<Bar
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key={status}
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dataKey={status}
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stackId="status"
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fill={JOB_STATUS_COLORS[status]}
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name={status}
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/>
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))}
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</BarChart>
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</ResponsiveContainer>
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)}
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</div>
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)
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}
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118
lib/insights/agent-throughput.ts
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118
lib/insights/agent-throughput.ts
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@ -0,0 +1,118 @@
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import { prisma } from '@/lib/prisma'
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export interface DayCount {
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day: string
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queued: number
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claimed: number
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running: number
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done: number
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failed: number
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cancelled: number
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}
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export interface ThroughputKpi {
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todayCount: number
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successRate7d: number
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avgDurationSeconds7d: number | null
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}
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export interface JobsPerDayResult {
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perDay: DayCount[]
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kpi: ThroughputKpi
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}
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const STATUSES = ['queued', 'claimed', 'running', 'done', 'failed', 'cancelled'] as const
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type RawDayRow = { day: Date; status: string; count: bigint }
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type RawKpiRow = { today_count: bigint; done_7d: bigint; terminal_7d: bigint; avg_seconds: number | null }
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function toDateStr(d: Date): string {
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return d.toISOString().slice(0, 10)
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}
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export async function getJobsPerDay(
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userId: string,
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days = 14,
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productId?: string,
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): Promise<JobsPerDayResult> {
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const [dayRows, kpiRows] = await Promise.all([
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productId
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? prisma.$queryRaw<RawDayRow[]>`
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SELECT DATE(created_at) AS day, LOWER(status::text) AS status, COUNT(*) AS count
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FROM claude_jobs
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WHERE user_id = ${userId}
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AND product_id = ${productId}
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AND created_at > NOW() - (${days} || ' days')::INTERVAL
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GROUP BY DATE(created_at), status
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ORDER BY day ASC
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`
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: prisma.$queryRaw<RawDayRow[]>`
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SELECT DATE(created_at) AS day, LOWER(status::text) AS status, COUNT(*) AS count
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FROM claude_jobs
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WHERE user_id = ${userId}
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AND created_at > NOW() - (${days} || ' days')::INTERVAL
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GROUP BY DATE(created_at), status
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ORDER BY day ASC
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`,
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productId
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? prisma.$queryRaw<RawKpiRow[]>`
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SELECT
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COUNT(*) FILTER (WHERE DATE(created_at) = CURRENT_DATE) AS today_count,
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COUNT(*) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS done_7d,
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COUNT(*) FILTER (WHERE status IN ('DONE','FAILED','CANCELLED') AND created_at > NOW() - INTERVAL '7 days') AS terminal_7d,
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AVG(EXTRACT(EPOCH FROM (finished_at - claimed_at))) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS avg_seconds
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FROM claude_jobs
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WHERE user_id = ${userId}
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AND product_id = ${productId}
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`
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: prisma.$queryRaw<RawKpiRow[]>`
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SELECT
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COUNT(*) FILTER (WHERE DATE(created_at) = CURRENT_DATE) AS today_count,
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COUNT(*) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS done_7d,
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COUNT(*) FILTER (WHERE status IN ('DONE','FAILED','CANCELLED') AND created_at > NOW() - INTERVAL '7 days') AS terminal_7d,
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AVG(EXTRACT(EPOCH FROM (finished_at - claimed_at))) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS avg_seconds
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FROM claude_jobs
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WHERE user_id = ${userId}
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`,
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])
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// Build lookup: dayStr → status → count
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const lookup = new Map<string, Map<string, number>>()
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for (const row of dayRows) {
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const d = toDateStr(row.day)
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if (!lookup.has(d)) lookup.set(d, new Map())
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lookup.get(d)!.set(row.status, Number(row.count))
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}
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// Generate full date range with zero-fills
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const now = new Date()
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const perDay: DayCount[] = []
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for (let i = days - 1; i >= 0; i--) {
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const d = new Date(now)
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d.setUTCDate(d.getUTCDate() - i)
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const key = toDateStr(d)
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const statusMap = lookup.get(key) ?? new Map()
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perDay.push({
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day: key,
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queued: statusMap.get('queued') ?? 0,
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claimed: statusMap.get('claimed') ?? 0,
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running: statusMap.get('running') ?? 0,
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done: statusMap.get('done') ?? 0,
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failed: statusMap.get('failed') ?? 0,
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cancelled: statusMap.get('cancelled') ?? 0,
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})
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}
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const kpiRow = kpiRows[0]
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const done7d = Number(kpiRow?.done_7d ?? 0)
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const terminal7d = Number(kpiRow?.terminal_7d ?? 0)
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return {
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perDay,
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kpi: {
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todayCount: Number(kpiRow?.today_count ?? 0),
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successRate7d: terminal7d === 0 ? 0 : Math.round((done7d / terminal7d) * 100) / 100,
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avgDurationSeconds7d: kpiRow?.avg_seconds != null ? Math.round(Number(kpiRow.avg_seconds)) : null,
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},
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}
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}
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