Agent throughput: jobs per dag stacked bar + KPI-strip (#49)
* feat(insights): add getJobsPerDay helper — agent throughput per day + KPIs Raw SQL aggregation of claude_jobs by day and status over 14 days with zero-fill for missing days. KPIs: todayCount, successRate7d, avgDurationSeconds7d. Optional productId filter. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(insights): add AgentThroughputCard — stacked BarChart + KPI-strip + product filter KPI strip (jobs today, 7d success rate, 7d avg duration), 14-day stacked BarChart with JOB_STATUS_COLORS, and URL-bookmarkable product dropdown via useTransition + router.replace. Empty-state when no activity. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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118
lib/insights/agent-throughput.ts
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118
lib/insights/agent-throughput.ts
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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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