158 lines
4.9 KiB
TypeScript
158 lines
4.9 KiB
TypeScript
import type { Job } from 'bullmq'
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import { beforeEach, describe, expect, it, vi } from 'vitest'
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import { TASK_TYPE, type TaskJobData } from '@/lib/task/types'
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const prismaMock = vi.hoisted(() => ({
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project: { findUnique: vi.fn() },
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novelPromotionProject: { findUnique: vi.fn() },
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novelPromotionEpisode: { findUnique: vi.fn() },
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novelPromotionClip: {
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deleteMany: vi.fn(async () => ({})),
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create: vi.fn(async () => ({ id: 'clip-row-1' })),
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},
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}))
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const llmMock = vi.hoisted(() => ({
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chatCompletion: vi.fn(async () => ({ id: 'completion-1' })),
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getCompletionContent: vi.fn(),
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}))
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const workerMock = vi.hoisted(() => ({
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reportTaskProgress: vi.fn(async () => undefined),
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assertTaskActive: vi.fn(async () => undefined),
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}))
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vi.mock('@/lib/prisma', () => ({ prisma: prismaMock }))
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vi.mock('@/lib/llm-client', () => llmMock)
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vi.mock('@/lib/llm-observe/internal-stream-context', () => ({
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withInternalLLMStreamCallbacks: vi.fn(async (_callbacks: unknown, fn: () => Promise<unknown>) => await fn()),
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}))
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vi.mock('@/lib/constants', () => ({
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buildCharactersIntroduction: vi.fn(() => 'characters-introduction'),
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}))
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vi.mock('@/lib/workers/shared', () => ({ reportTaskProgress: workerMock.reportTaskProgress }))
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vi.mock('@/lib/workers/utils', () => ({ assertTaskActive: workerMock.assertTaskActive }))
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vi.mock('@/lib/workers/handlers/llm-stream', () => ({
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createWorkerLLMStreamContext: vi.fn(() => ({ streamRunId: 'run-1', nextSeqByStepLane: {} })),
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createWorkerLLMStreamCallbacks: vi.fn(() => ({
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onStage: vi.fn(),
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onChunk: vi.fn(),
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onComplete: vi.fn(),
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onError: vi.fn(),
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flush: vi.fn(async () => undefined),
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})),
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}))
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vi.mock('@/lib/prompt-i18n', () => ({
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PROMPT_IDS: { NP_AGENT_CLIP: 'np_agent_clip' },
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buildPrompt: vi.fn(() => 'clip-split-prompt'),
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}))
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vi.mock('@/lib/novel-promotion/story-to-script/clip-matching', () => ({
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createClipContentMatcher: (content: string) => ({
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matchBoundary: (start: string, end: string, fromIndex = 0) => {
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const startIndex = content.indexOf(start, fromIndex)
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if (startIndex === -1) return null
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const endStart = content.indexOf(end, startIndex)
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if (endStart === -1) return null
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return {
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startIndex,
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endIndex: endStart + end.length,
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}
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},
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}),
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}))
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import { handleClipsBuildTask } from '@/lib/workers/handlers/clips-build'
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function buildJob(payload: Record<string, unknown>, episodeId: string | null = 'episode-1'): Job<TaskJobData> {
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return {
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data: {
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taskId: 'task-clips-build-1',
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type: TASK_TYPE.CLIPS_BUILD,
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locale: 'zh',
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projectId: 'project-1',
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episodeId,
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targetType: 'NovelPromotionEpisode',
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targetId: 'episode-1',
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payload,
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userId: 'user-1',
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},
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} as unknown as Job<TaskJobData>
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}
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describe('worker clips-build behavior', () => {
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beforeEach(() => {
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vi.clearAllMocks()
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prismaMock.project.findUnique.mockResolvedValue({ id: 'project-1', mode: 'novel-promotion' })
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prismaMock.novelPromotionProject.findUnique.mockResolvedValue({
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id: 'np-project-1',
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analysisModel: 'llm::analysis-1',
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characters: [{ id: 'char-1', name: 'Hero' }],
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locations: [{ id: 'loc-1', name: 'Old Town' }],
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})
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prismaMock.novelPromotionEpisode.findUnique.mockResolvedValue({
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id: 'episode-1',
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name: '第一集',
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novelPromotionProjectId: 'np-project-1',
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novelText: 'A START one END B START two END C',
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})
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llmMock.getCompletionContent.mockReturnValue(
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JSON.stringify([
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{
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start: 'START one',
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end: 'END',
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summary: 'first clip',
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location: 'Old Town',
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characters: ['Hero'],
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},
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]),
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)
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})
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it('missing episodeId -> explicit error', async () => {
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const job = buildJob({}, null)
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await expect(handleClipsBuildTask(job)).rejects.toThrow('episodeId is required')
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})
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it('success path -> creates clip row with concrete boundaries and characters payload', async () => {
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const job = buildJob({ episodeId: 'episode-1' })
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const result = await handleClipsBuildTask(job)
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expect(result).toEqual({
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episodeId: 'episode-1',
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count: 1,
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})
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expect(prismaMock.novelPromotionClip.create).toHaveBeenCalledWith({
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data: {
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episodeId: 'episode-1',
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startText: 'START one',
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endText: 'END',
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summary: 'first clip',
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location: 'Old Town',
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characters: JSON.stringify(['Hero']),
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content: 'START one END',
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},
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select: { id: true },
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})
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})
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it('AI boundaries cannot be matched -> explicit boundary error', async () => {
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llmMock.getCompletionContent.mockReturnValue(
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JSON.stringify([
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{
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start: 'NOT_FOUND_START',
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end: 'NOT_FOUND_END',
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summary: 'bad clip',
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},
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]),
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)
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const job = buildJob({ episodeId: 'episode-1' })
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await expect(handleClipsBuildTask(job)).rejects.toThrow('split_clips boundary matching failed')
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})
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})
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