Scrum4Me/lib/insights/agent-throughput.ts
Madhura68 deb70a9e20 feat(T-572): map SKIPPED in lib/job-status + alle terminal-checks
- lib/job-status.ts: SKIPPED ↔ 'skipped' mapping in beide richtingen
- components/shared/job-status.ts: label "Overgeslagen" + neutrale italic styling
- actions/admin/jobs.ts: cancel-guard erkent SKIPPED als eindstatus
- app/api/cron/cleanup-agent-artifacts: SKIPPED ook opruimen na 7d
- lib/insights/agent-throughput: SKIPPED telt mee als terminal

ACTIVE_JOB_STATUSES bewust ongewijzigd — SKIPPED is afgerond.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-05 23:10:14 +02:00

118 lines
4.1 KiB
TypeScript

import { prisma } from '@/lib/prisma'
export interface DayCount {
day: string
queued: number
claimed: number
running: number
done: number
failed: number
cancelled: number
}
export interface ThroughputKpi {
todayCount: number
successRate7d: number
avgDurationSeconds7d: number | null
}
export interface JobsPerDayResult {
perDay: DayCount[]
kpi: ThroughputKpi
}
const STATUSES = ['queued', 'claimed', 'running', 'done', 'failed', 'cancelled'] as const
type RawDayRow = { day: Date; status: string; count: bigint }
type RawKpiRow = { today_count: bigint; done_7d: bigint; terminal_7d: bigint; avg_seconds: number | null }
function toDateStr(d: Date): string {
return d.toISOString().slice(0, 10)
}
export async function getJobsPerDay(
userId: string,
days = 14,
productId?: string,
): Promise<JobsPerDayResult> {
const [dayRows, kpiRows] = await Promise.all([
productId
? prisma.$queryRaw<RawDayRow[]>`
SELECT DATE(created_at) AS day, LOWER(status::text) AS status, COUNT(*) AS count
FROM claude_jobs
WHERE user_id = ${userId}
AND product_id = ${productId}
AND created_at > NOW() - (${days} || ' days')::INTERVAL
GROUP BY DATE(created_at), status
ORDER BY day ASC
`
: prisma.$queryRaw<RawDayRow[]>`
SELECT DATE(created_at) AS day, LOWER(status::text) AS status, COUNT(*) AS count
FROM claude_jobs
WHERE user_id = ${userId}
AND created_at > NOW() - (${days} || ' days')::INTERVAL
GROUP BY DATE(created_at), status
ORDER BY day ASC
`,
productId
? prisma.$queryRaw<RawKpiRow[]>`
SELECT
COUNT(*) FILTER (WHERE DATE(created_at) = CURRENT_DATE) AS today_count,
COUNT(*) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS done_7d,
COUNT(*) FILTER (WHERE status IN ('DONE','FAILED','CANCELLED','SKIPPED') AND created_at > NOW() - INTERVAL '7 days') AS terminal_7d,
AVG(EXTRACT(EPOCH FROM (finished_at - claimed_at))) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS avg_seconds
FROM claude_jobs
WHERE user_id = ${userId}
AND product_id = ${productId}
`
: prisma.$queryRaw<RawKpiRow[]>`
SELECT
COUNT(*) FILTER (WHERE DATE(created_at) = CURRENT_DATE) AS today_count,
COUNT(*) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS done_7d,
COUNT(*) FILTER (WHERE status IN ('DONE','FAILED','CANCELLED','SKIPPED') AND created_at > NOW() - INTERVAL '7 days') AS terminal_7d,
AVG(EXTRACT(EPOCH FROM (finished_at - claimed_at))) FILTER (WHERE status = 'DONE' AND created_at > NOW() - INTERVAL '7 days') AS avg_seconds
FROM claude_jobs
WHERE user_id = ${userId}
`,
])
// Build lookup: dayStr → status → count
const lookup = new Map<string, Map<string, number>>()
for (const row of dayRows) {
const d = toDateStr(row.day)
if (!lookup.has(d)) lookup.set(d, new Map())
lookup.get(d)!.set(row.status, Number(row.count))
}
// Generate full date range with zero-fills
const now = new Date()
const perDay: DayCount[] = []
for (let i = days - 1; i >= 0; i--) {
const d = new Date(now)
d.setUTCDate(d.getUTCDate() - i)
const key = toDateStr(d)
const statusMap = lookup.get(key) ?? new Map()
perDay.push({
day: key,
queued: statusMap.get('queued') ?? 0,
claimed: statusMap.get('claimed') ?? 0,
running: statusMap.get('running') ?? 0,
done: statusMap.get('done') ?? 0,
failed: statusMap.get('failed') ?? 0,
cancelled: statusMap.get('cancelled') ?? 0,
})
}
const kpiRow = kpiRows[0]
const done7d = Number(kpiRow?.done_7d ?? 0)
const terminal7d = Number(kpiRow?.terminal_7d ?? 0)
return {
perDay,
kpi: {
todayCount: Number(kpiRow?.today_count ?? 0),
successRate7d: terminal7d === 0 ? 0 : Math.round((done7d / terminal7d) * 100) / 100,
avgDurationSeconds7d: kpiRow?.avg_seconds != null ? Math.round(Number(kpiRow.avg_seconds)) : null,
},
}
}