feat(ST-d9sl8egw): lib/insights/token-history.ts — sprint-historiek, dag-data & PBI-aggregaat (#115)
Drie functies via prisma.$queryRaw: getSprintTokenHistory (per-sprint aggregaat), getDayTokenData (dag-totalen met guard op lege sprintId), getPbiTokenAggregates (per-PBI met guard). Tests voor alle drie. Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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Janpeter Visser
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74
__tests__/lib/insights/token-history.test.ts
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74
__tests__/lib/insights/token-history.test.ts
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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 {
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getSprintTokenHistory,
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getDayTokenData,
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getPbiTokenAggregates,
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} from '@/lib/insights/token-history'
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beforeEach(() => {
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vi.clearAllMocks()
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})
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describe('getSprintTokenHistory', () => {
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it('returns mapped sprint rows', async () => {
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mockQueryRaw.mockResolvedValueOnce([
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{ sprint_id: 'sp-1', sprint_goal: 'Goal A', total_tokens: BigInt(5000), total_cost: 0.1, job_count: BigInt(2) },
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])
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const rows = await getSprintTokenHistory('user-1')
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expect(rows).toHaveLength(1)
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expect(rows[0].sprintId).toBe('sp-1')
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expect(rows[0].totalTokens).toBe(5000)
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expect(rows[0].totalCostUsd).toBe(0.1)
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expect(rows[0].jobCount).toBe(2)
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})
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it('returns zero cost when total_cost is null', async () => {
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mockQueryRaw.mockResolvedValueOnce([
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{ sprint_id: 'sp-2', sprint_goal: 'Goal B', total_tokens: BigInt(0), total_cost: null, job_count: BigInt(0) },
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])
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const rows = await getSprintTokenHistory('user-1')
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expect(rows[0].totalCostUsd).toBe(0)
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})
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})
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describe('getDayTokenData', () => {
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it('returns empty array for empty sprintId', async () => {
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const rows = await getDayTokenData('user-1', '')
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expect(rows).toHaveLength(0)
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expect(mockQueryRaw).not.toHaveBeenCalled()
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})
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it('maps day rows with ISO date string', async () => {
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mockQueryRaw.mockResolvedValueOnce([
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{ day: new Date('2026-05-01T00:00:00Z'), total_tokens: BigInt(2000), total_cost: 0.05 },
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])
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const rows = await getDayTokenData('user-1', 'sprint-1')
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expect(rows).toHaveLength(1)
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expect(rows[0].day).toBe('2026-05-01')
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expect(rows[0].totalTokens).toBe(2000)
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})
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})
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describe('getPbiTokenAggregates', () => {
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it('returns empty array for empty sprintId', async () => {
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const rows = await getPbiTokenAggregates('user-1', '')
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expect(rows).toHaveLength(0)
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expect(mockQueryRaw).not.toHaveBeenCalled()
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})
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it('maps pbi rows', async () => {
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mockQueryRaw.mockResolvedValueOnce([
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{ pbi_id: 'pbi-1', pbi_code: 'M1', pbi_title: 'First PBI', total_tokens: BigInt(3000), total_cost: 0.08 },
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])
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const rows = await getPbiTokenAggregates('user-1', 'sprint-1')
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expect(rows[0].pbiCode).toBe('M1')
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expect(rows[0].totalTokens).toBe(3000)
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})
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})
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176
lib/insights/token-history.ts
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176
lib/insights/token-history.ts
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import { prisma } from '@/lib/prisma'
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export interface SprintTokenRow {
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sprintId: string
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sprintGoal: string
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totalTokens: number
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totalCostUsd: number
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jobCount: number
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}
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export interface DayTokenRow {
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day: string
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totalTokens: number
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totalCostUsd: number
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}
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export interface PbiTokenRow {
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pbiId: string
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pbiCode: string
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pbiTitle: string
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totalTokens: number
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totalCostUsd: number
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}
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type RawSprintRow = {
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sprint_id: string
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sprint_goal: string
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total_tokens: bigint
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total_cost: number | null
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job_count: bigint
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}
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type RawDayRow = {
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day: Date
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total_tokens: bigint
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total_cost: number | null
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}
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type RawPbiRow = {
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pbi_id: string
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pbi_code: string
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pbi_title: string
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total_tokens: bigint
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total_cost: number | null
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}
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export async function getSprintTokenHistory(
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userId: string,
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productId?: string,
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limit = 8,
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): Promise<SprintTokenRow[]> {
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const rows = productId
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? await prisma.$queryRaw<RawSprintRow[]>`
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SELECT
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sp.id AS sprint_id,
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sp.sprint_goal,
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COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
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SUM(
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cj.input_tokens * mp.input_price_per_1m / 1000000.0
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+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
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+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
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+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
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) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost,
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COUNT(*) FILTER (WHERE cj.input_tokens IS NOT NULL) AS job_count
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FROM claude_jobs cj
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JOIN tasks t ON cj.task_id = t.id
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JOIN stories s ON t.story_id = s.id
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JOIN sprints sp ON s.sprint_id = sp.id
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LEFT JOIN model_prices mp ON mp.model_id = cj.model_id
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WHERE cj.user_id = ${userId}
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AND cj.status = 'DONE'
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AND cj.product_id = ${productId}
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GROUP BY sp.id, sp.sprint_goal
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ORDER BY sp.created_at DESC
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LIMIT ${limit}
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`
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: await prisma.$queryRaw<RawSprintRow[]>`
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SELECT
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sp.id AS sprint_id,
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sp.sprint_goal,
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COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
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SUM(
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cj.input_tokens * mp.input_price_per_1m / 1000000.0
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+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
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+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
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+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
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) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost,
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COUNT(*) FILTER (WHERE cj.input_tokens IS NOT NULL) AS job_count
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FROM claude_jobs cj
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JOIN tasks t ON cj.task_id = t.id
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JOIN stories s ON t.story_id = s.id
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JOIN sprints sp ON s.sprint_id = sp.id
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LEFT JOIN model_prices mp ON mp.model_id = cj.model_id
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WHERE cj.user_id = ${userId}
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AND cj.status = 'DONE'
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GROUP BY sp.id, sp.sprint_goal
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ORDER BY sp.created_at DESC
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LIMIT ${limit}
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`
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return rows.map(r => ({
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sprintId: r.sprint_id,
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sprintGoal: r.sprint_goal,
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totalTokens: Number(r.total_tokens),
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totalCostUsd: Number(r.total_cost ?? 0),
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jobCount: Number(r.job_count),
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}))
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}
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export async function getDayTokenData(userId: string, sprintId: string): Promise<DayTokenRow[]> {
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if (!sprintId) return []
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const rows = await prisma.$queryRaw<RawDayRow[]>`
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SELECT
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DATE(cj.finished_at) AS day,
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COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
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SUM(
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cj.input_tokens * mp.input_price_per_1m / 1000000.0
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+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
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+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
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+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
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) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost
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FROM claude_jobs cj
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JOIN tasks t ON cj.task_id = t.id
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JOIN stories s ON t.story_id = s.id
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LEFT JOIN model_prices mp ON mp.model_id = cj.model_id
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WHERE cj.user_id = ${userId}
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AND s.sprint_id = ${sprintId}
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AND cj.status = 'DONE'
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AND cj.finished_at IS NOT NULL
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GROUP BY DATE(cj.finished_at)
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ORDER BY day ASC
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`
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return rows.map(r => ({
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day: r.day.toISOString().slice(0, 10),
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totalTokens: Number(r.total_tokens),
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totalCostUsd: Number(r.total_cost ?? 0),
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}))
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}
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export async function getPbiTokenAggregates(userId: string, sprintId: string): Promise<PbiTokenRow[]> {
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if (!sprintId) return []
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const rows = await prisma.$queryRaw<RawPbiRow[]>`
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SELECT
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p.id AS pbi_id,
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p.code AS pbi_code,
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p.title AS pbi_title,
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COALESCE(SUM(cj.input_tokens + cj.output_tokens + cj.cache_read_tokens + cj.cache_write_tokens), 0) AS total_tokens,
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SUM(
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cj.input_tokens * mp.input_price_per_1m / 1000000.0
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+ cj.output_tokens * mp.output_price_per_1m / 1000000.0
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+ cj.cache_read_tokens * mp.cache_read_price_per_1m / 1000000.0
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+ cj.cache_write_tokens * mp.cache_write_price_per_1m / 1000000.0
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) FILTER (WHERE cj.input_tokens IS NOT NULL) AS total_cost
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FROM claude_jobs cj
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JOIN tasks t ON cj.task_id = t.id
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JOIN stories s ON t.story_id = s.id
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JOIN pbis p ON s.pbi_id = p.id
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LEFT JOIN model_prices mp ON mp.model_id = cj.model_id
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WHERE cj.user_id = ${userId}
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AND s.sprint_id = ${sprintId}
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AND cj.status = 'DONE'
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GROUP BY p.id, p.code, p.title
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ORDER BY total_cost DESC
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`
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return rows.map(r => ({
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pbiId: r.pbi_id,
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pbiCode: r.pbi_code,
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pbiTitle: r.pbi_title,
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totalTokens: Number(r.total_tokens),
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totalCostUsd: Number(r.total_cost ?? 0),
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}))
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}
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