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Author	SHA1	Message	Date
wangdl	ea3652f5f9	test: M-MEMBER-01-CLOSE-05B v2 真实 Service Integration ... 走真实 NestJS Service、MySQL、Redis、Prisma: - Transaction: 幂等(串行+并发)/跨账号绑定/原子事务回滚 - Notification: UUID 幂等/CAS 并发/lifecycle(DID_RENEW)/环境隔离/unknown type - Quota: enforced 模式余额1并发5→1成功4超限/幂等/返还/超限拦截 Mock 仅 JWS Verifier, 其余全部真实	2026-06-27 13:34:22 +08:00
wangdl	47630f0b03	test: M-MEMBER-01-CLOSE-05B 会员核心 Integration 测试 ... - Transaction: 幂等/跨账号绑定/原子性 - Notification: UUID 幂等/环境隔离/生命周期 - Quota: 并发/幂等/返还 - File/Storage: 创建/去重/删除 - Business Quota: 9 种额度类型 基于生产同步数据库实际 schema 验证 注: AppStoreTransaction/Notification 等表缺失 (M-MEMBER-01 迁移未执行到生产)	2026-06-27 13:13:06 +08:00
wangdl	cca5adde7c	docs: M-MEMBER-01-CLOSE-05A 测试环境固化与 Migration 证据 ... - 修复 ts-node seed 命令（compiler-options -> compilerOptions） - 添加本地工程测试环境文档 - 添加 M-MEMBER-01 Migration 验证证据	2026-06-27 13:04:59 +08:00
wangdl	87317e0dbc	fix: RAG Worker 认证头从 Authorization:Bearer 改为 x-internal-api-key	2026-06-27 12:54:59 +08:00
wangdl	05cf369bee	feat: 本地开发环境配置 + Python 3.9 兼容修复 ... - 添加 docker-compose.local.yml（MySQL/Redis/Qdrant 本地基础设施） - 添加 mysql.conf.d 本地 MySQL 低资源配置 - RAG Worker Python 3.9 兼容（from __future__ import annotations） - 同步最新业务代码变更	2026-06-27 12:42:44 +08:00
wangdl	cfa6c6bc9c	fix(membership): remove broken iOS import from controller spec	2026-06-27 09:20:49 +08:00
wangdl	d2af3f3dcf	feat(quota): enforce file size and storage quota on upload lifecycle ... - file_size_bytes: first check at upload-url (declared size) - storage_bytes: reserve at upload-url, release on failure - storage release on file delete - POST /files/upload-url: size check + storage reserve - DELETE /files/🆔 storage release Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-27 09:19:09 +08:00
wangdl	8495de77f8	fix(quota): change OCR/Vision pre-check from amount=0 to amount=1 ... amount=0 only validated configuration access. amount=1 now checks that at least 1 page of quota is available before allowing document import. Per-page reserve/commit/release requires RAG Worker (Python) changes. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-27 09:17:28 +08:00
wangdl	18ef334f0d	fix(quota): replace hardcoded 1GB storage with EffectiveQuota lookup ... - UsersService.getStorage() now reads storage_bytes from EffectiveQuota - Falls back to 1GB only when quota service is unavailable - iOS already reads from /membership/me (CLOSE-01C) Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-26 20:59:34 +08:00
wangdl	ac7a2201ab	feat(quota): add OCR/Vision pre-check at document import controller ... Document Import: EXEMPT_BY_CONTRACT (no independent import quota — constrained by file_size_bytes + storage_bytes + ocr_pages + vision_pages). OCR/Vision pre-check ensures user has quota before creating import. Per-page metering requires RAG Worker-side changes (Python). Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-26 20:57:19 +08:00
wangdl	1d6a04a8b3	test(membership): add quota, guard, and controller unit tests ... - EffectiveQuotaService: 11 tests (shadow/enforced/legacy, P2002, unlimited) - QuotaGuardService: 8 tests (check, error codes, confirm/cancel) - MembershipController: 3 tests (me, plans, no txId leak) Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-26 20:34:33 +08:00
wangdl	fef0695845	feat(quota): wire knowledge_base_count quota into KB controller	2026-06-26 20:28:29 +08:00
wangdl	807488a929	feat(quota): wire ai_chat_messages quota into chat controller ... - Add QuotaGuard check to sendMessage and sendMessageStream - Stream disconnect → cancel reservation - Import MembershipModule in RagChatModule Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-26 20:21:49 +08:00
wangdl	6a5ab31ddd	fix(quota): remove duplicate quiz_generation reserve in router ... Quota reserve is now centralized in UserAiController.createAnalysisJob. Router no longer needs QuotaGuardService injection. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-26 20:19:39 +08:00
wangdl	35e134d9e6	fix(membership): reorder constructor params to fix TS1016	2026-06-26 20:10:36 +08:00
wangdl	9566de63a2	feat(membership): implement subscription entitlement and quota backend ... - Add User.appAccountToken, StoreProduct, PlanQuota models - Extend UserMembership with Apple IAP fields + source/status - Add AppStoreTransaction (immutable) + AppStoreNotification (Durable Inbox) - Implement EffectiveMembershipService (multi-grant → effectivePlan) - Implement EffectiveQuotaService (PlanQuota-driven, Legacy/Shadow/Enforced) - Implement AppStoreJwsVerifier (x5c chain → Apple Root CA G3) - Implement AppStoreTransactionService (JWS verify + atomic projection) - Implement AppStoreNotificationService (9 event types + lifecycle) - Wire QuotaGuard across 5 AI Job types (active_recall/feynman/quiz/learning/flashcard) - Add Membership API: GET /plans, /me, /usage, POST /apple/transactions - Add webhook: POST /webhooks/app-store/v2 (@Public) - Add 11 unit tests for EffectiveMembershipService - Migration: 3 SQL files (expand_schema, transaction_notification, quotausage_unique) Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-26 20:03:03 +08:00
wangdl	5570c30e0e	fix(quiz): skip legacy questions with missing type instead of throwing ... Legacy Runtime test data may contain questions without an explicit type field. For missing type -> skip with warning (consistent with missing stem/answer handling). For non-empty illegal type -> throw BadRequestException (fail-closed). Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-24 20:02:15 +08:00
wangdl	f1eb99b6fa	fix(quiz): complete cross-platform attempt and question type contract ... - Add attempt lifecycle with per-attempt answer visibility (#336) - Add atomic submission with updateMany CAS + $transaction (#337) - Add iOS attempt-based question loading + local answer cache (#338) - Freeze choice/fill/judge cross-platform contract with fill grading (#339) - Add per-question-type learning analysis accuracyByQuestionType (#340) - Add GATE E2E test suite with 17 scenarios (#341) - CLEANUP-01: Remove illegal type → choice silent degradation - CLEANUP-02: Integrate QuizQuestionType enum into iOS quiz views - CLEANUP-03: Test verification, git delivery, targeted gate review Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-24 19:55:05 +08:00
wangdl	1f2d7825e7	docs(ai): close unified business migration phase ... - Inventory: updated with M-AI-08 PASS as baseline, Legacy retention details - Closure: all 6 milestones PASS commits recorded, feature flag matrix - Rollout plan: 7-stage progressive rollout with metrics & rollback - Gitea: M-AI-09 renamed to M-AI-RETIRE-01 - Stage naming: M-AI-HARDENING + M-AI-RETIRE for post-migration phases AI core business migration stage: DONE Next stage: production grayscale rollout (M-AI-HARDENING) Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 22:19:37 +08:00
wangdl	e769d67908	fix(M-AI-08): export LearningAnalysisSnapshotBuilder from AiJobModule ... Required by LearningAnalysisExecutionRouter in AiRuntimeModule. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 22:12:06 +08:00
wangdl	fa1262cb93	fix(M-AI-08): correct Prisma field names in snapshot builder ... - DailyLearningActivity.date -> activityDate - ReviewLog.rating is String, not Int (use parseInt) Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 22:06:18 +08:00
wangdl	fe277b4667	docs: M-AI-08-GATE audit — PASS + AI Business Migration Closure PASS ... All 18 criteria verified. 821 tests, 0 failures. P0: 0, P1: 0. Core AI business migration stage complete. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:57:55 +08:00
wangdl	03c1b06294	test(M-AI-08-07): learning analysis E2E + CI integration ... - 4 API-verifiable scenarios (Legacy, Unified, Idempotency, Rollback) - Infra hard-fail (no skip/soft-pass) - CI: test/m-ai-08 added to integration change detection Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:56:13 +08:00
wangdl	b779d1f3ce	feat(M-AI-08-06): learning analysis execution router + controller wiring ... - LearningAnalysisExecutionRouter: LEARNING_ANALYSIS_ENGINE_MODE flag - Routes learning_state_analysis/weak_point_analysis/next_action_planning - Idempotency: client key or content hash + 10min window - Controller: 3 job types route through learningAnalysisRouter Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:52:26 +08:00
wangdl	6ead2787f6	test(M-AI-08-04): add LearningAnalysisValidator spec (20 tests) ... Coverage: schema (5), evidence (4), business (2), medical (4), personality (3), markdown (1), normal (1). Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:48:59 +08:00
wangdl	9cf85023d1	feat(M-AI-08-05): learning analysis projector + atomic idempotency ... - LearningAnalysisProjector: AiLearningAnalysis + WeakPointCandidate + Recommendation - All in one transaction via ProjectionExecutor - Entry idempotency via Artifact check + P2002 fallback - Artifact types: learning_analysis, weak_point, recommendation - Registered in RESULT_PROJECTORS factory Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:44:29 +08:00
wangdl	06a0e21bbf	feat(M-AI-08-04): learning analysis validator + engine integration ... - Schema validation: strengths/weaknesses/trends/risks/recommendations limits - Evidence validation: sourceType enum, metricKey required - Business validation: insufficientData confidence cap, evidence-required conclusions - Content safety: medical diagnosis, personality judgment, markdown code blocks - Engine: validate after executor in learning_analysis dispatch Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:43:15 +08:00
wangdl	1bb131a1bc	feat(M-AI-08-03): learning analysis prompt + schema + executor + engine dispatch ... Resolves A1/A2: learning-analysis prompt and Zod output schema created. - Prompt: 6 analysis dimensions, evidence-required, no medical diagnosis - Schema: strengths/weaknesses/trends/risks/recommendations with evidenceRefs - Executor: AiGateway only, constructs user message from snapshot metrics - Engine dispatch for learning_analysis job type Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:41:25 +08:00
wangdl	d537ff3bd0	feat(M-AI-08-02): learning analysis snapshot builder + definition ... - LearningAnalysisSnapshotBuilder: aggregates 6 data dimensions from trusted server sources - Windows: behavior 7 days / scores 30 days (matches legacy) - Data quality: availableSources/missingSources/insufficientDataReasons - Definition: learning_analysis, ai-background, primary tier - contentHash: stable via sorted keys + SHA-256 Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:36:57 +08:00
wangdl	5628e6db90	docs(M-AI-08-01): AI workflow inventory + learning analysis migration contract ... Inventory: 17 AI workflows cataloged. 6 migrated, 4 in M-AI-08 scope, 5 deferred, 2 legacy pending retirement. Confirmed M-AI-08 as final core business migration milestone. Contract: 4 Runtime job types (learning_state/weak_point/next_action/ flashcard) to be merged into unified learning_analysis Job. Data source matrix, snapshot schema, evidence schema, topology frozen. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:31:29 +08:00
wangdl	ec2379eaf3	fix(M-AI-07): stabilize Quiz generation request idempotency ... Replace Date.now() fallback with deterministic content hash + time window. Idempotency strategy: Priority 1: client-provided idempotencyKey → direct use Priority 2: SHA-256(normalized params) + 10min window → retry-safe Active re-generation: client provides new idempotencyKey idempotencyKey format: quiz-generation:<contentHash24>:w<windowTs> Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:19:20 +08:00
wangdl	452144d9c0	fix: export QuizGenerationSnapshotBuilder from AiJobModule ... Required by QuizExecutionRouter in AiRuntimeModule (forwardRef context). Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:12:15 +08:00
wangdl	89ad00b4ee	fix: bidirectional forwardRef for AiRuntimeModule <-> AiJobModule ... Both sides of the circular dependency need forwardRef(). AiJobModule's import of AiRuntimeModule also wrapped. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:10:16 +08:00
wangdl	8776f1e7ca	fix: circular dependency AiRuntimeModule <-> AiJobModule ... M-AI-07-05 added AiJobModule import to AiRuntimeModule, but AiJobModule already imports AiRuntimeModule (for SnapshotBuilderService). Use forwardRef(() => AiJobModule) to break the cycle. Root cause of deploy crash-loop: NestJS UndefinedModuleException at AiJobModule imports index [1] (AiRuntimeModule was undefined). Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 21:07:20 +08:00
wangdl	62f324a429	docs: M-AI-07-GATE audit — PASS ... All 16 completion criteria verified. 785 tests, 0 failures. P0: 0, P1: 0. Ready for M-AI-08. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:56:26 +08:00
wangdl	24f9098178	test(M-AI-07-07): quiz generation E2E + CI integration ... - 15 scenarios (8 API-verifiable + 7 unit-equivalent) - Infra hard-fail (no skip/soft-pass) - CI: add test/m-ai-07 to integration change detection Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:54:02 +08:00
wangdl	c3b8919489	fix(M-AI-07-06): answer leak fixes (A3/A4) + state compatibility ... - getQuizQuestions: only return answer/explanation after user has submitted - findOne: remove questions include (use getQuizQuestions instead) - State mapping: lifecycleStatus compatible with legacy status field Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:51:03 +08:00
wangdl	40e772cc3a	feat(M-AI-07-05): quiz generation execution router + controller wiring ... - QuizExecutionRouter: QUIZ_GENERATION_ENGINE_MODE flag routing - legacy: UserAiService.createAnalysisJob() - unified: SnapshotBuilder + AiJobCreationService.createJob() - Controller: quiz_generation routes through Router - Response compat: legacy fields + optional engineMode/lifecycleStatus Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:46:54 +08:00
wangdl	a59446266a	feat(M-AI-07-04): quiz generation Projector + atomic idempotency ... - QuizGenerationProjector: Quiz + QuizQuestion x N + Artifact in one tx - Entry idempotency via Artifact check + P2002 fallback - Quiz fields: sourceType=ai, sourceId=job.id, status=ready - Invalid questions filtered (missing stem/answer) - Registered in RESULT_PROJECTORS factory Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:43:55 +08:00
wangdl	d368f1a97f	feat(M-AI-07-03): quiz generation Executor + Validator + prompt/schema ... Resolves A1/A2: bring quiz prompt + output schema in-house from Runtime. - quiz-generation.prompt.ts: system prompt with question design principles - quiz-generation.schema.ts: Zod schema (choice/fill/judge types) - Registered in PromptTemplateService with key 'quiz-generation' v1.0.0 - Executor: AiGateway call with knowledge items + generation params - Validator: per-type validation (choice options/index, judge true/false) - Engine dispatch for quiz_generation job type Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:40:12 +08:00
wangdl	9cac4781bd	feat(M-AI-07-02): quiz generation Job Definition + Snapshot Builder ... - quiz_generation Definition: ai-interactive, primary tier, 180s timeout - Snapshot Builder: KB ownership validation, content truncation (2k chars) - Parameter normalization: questionCount [1,50], types, difficulty - Stable contentHash via sorted keys + SHA256 Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:34:33 +08:00
wangdl	a17aba972b	docs: M-AI-07-01 quiz generation migration contract ... Audit complete: 2 quiz systems (procedural + AI Runtime), 4 data models, 3 question types (choice/fill/judge), external Runtime polling architecture. Identified 7 anomalies including answer leak (P0) and missing prompt/schema. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:29:57 +08:00
wangdl	7fafa1b0cb	fix(M-AI-06): resolve P2-01 — modelName already corrected to deepseek-v4-flash ... Root cause: modelName was 'deepseek-chat' in early Definition draft. Fixed in M-AI-06-03 review (555717b) to 'deepseek-v4-flash' matching ModelRouter. GATE doc P2-01 was stale — updated to reflect resolved status. No actual model routing change occurred. Both Legacy and Unified resolve cheap tier via ModelRouter → deepseek-v4-flash. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 20:17:55 +08:00
wangdl	297c4c173c	docs: M-AI-06-GATE audit — PASS ... All 14 completion criteria verified. 482 tests, 0 failures. P0: 0, P1: 0, P2: 1 (non-blocking), P3: 3 (non-scope). Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 19:44:39 +08:00
wangdl	6ab6267f13	ci: add test/m-ai-06 to integration test change detection ... Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 19:39:19 +08:00
wangdl	555717bc25	fix: cast ActiveRecallSnapshot to Record for buildSnapshotContent return type ... Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 19:30:42 +08:00
wangdl	f1e529b99e	feat: M-AI-06 Feynman ReviewCard Child Job 与可靠生成 ... 完成 M-AI-06 全部 7 个 Issue： - 01: 审计冻结契约 (docs/architecture/m-ai-06-review-card-child-job-contract.md) - 02: AiJobCreationService.createInTransaction(tx, input) - 03: ReviewCard Generation Job Definition + Snapshot Builder - 04: ReviewCard Generation Executor + 输出验证 Validator - 05: ReviewCard Generation Projector + 卡片幂等 + Engine 接入 - 06: FeynmanProjector 接入 FEYNMAN_REVIEW_CARD_MODE Feature Flag - 07: E2E 测试 (test/m-ai-06-review-card-child.e2e-spec.ts) 核心变更： - 新增 10 个文件, 修改 7 个文件 - 新增 createInTransaction() 外部事务支持 - 新增 review_card_generation Job Type (ai-background / cheap tier) - FeynmanProjector 根据 Feature Flag 路由 child_job / legacy_event - Projector 入口幂等 + P2002 回退双重保障 - 测试: 单元 482 passed, E2E 待 CI 执行 Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-22 19:27:14 +08:00
wangdl	a14f490526	fix(M-AI-05): correct createJob return type — result.id not result.job.id ... AiJobCreationService.createJob() returns AiJob entity directly, not wrapped in { job: {...} }. Build error: TS2339 Property 'job' does not exist on type AiJob. Fixed: result.job.id → result.id (lines 135, 141). Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-21 17:51:37 +08:00
wangdl	e63a1332e1	test(M-AI-05): prove Feynman FocusItem idempotency protection chain ... 8-layer protection chain audit (L1-L8): L1 — BullMQ concurrency=1 (single-threaded per Worker) L2 — lockJob() CAS: updateMany WHERE lifecycleStatus='queued' L3 — isTerminal() check — succeeded/failed Jobs cannot re-lock L4 — ProjectionExecutor entry terminal check (double guard) L5 — FeynmanProjector artifact entry gate (committed → return old) L6 — FocusItem findFirst + create (userId+title+source dedup) L7 — Artifact P2002 unique constraint (DB-level last line) L8 — markSucceeded() in same transaction (atomic commit) Evidence: ai-job-lifecycle.repository.ts:135-149 (CAS lock) ai-job-lifecycle.repository.ts:157-161 (terminal check) projection-executor.service.ts:69-88 (double guard) projection-executor.service.ts:91-110 (same tx atomic) feynman-projector.ts:45-57 (artifact entry gate) feynman-projector.ts:113-121 (findFirst+create dedup) feynman-projector.ts:175-182 (P2002 catch) Branch A: existing locks strictly exclude concurrent Projector. No code change needed. Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-21 17:48:48 +08:00
wangdl	b9be87e805	test(M-AI-05): enforce cross-user Feynman authorization ... Scenario 7 E2E fix: - Asset correct HTTP 403 (was 201 in earlier draft) - Add before/after zero-side-effect verification (7 tables) - Add model-call-count = 0 verification (via UsageLog) - Add stable error structure assertion (no stack/Prisma/DATABASE_URL) - Add Legacy path behavior documentation (known limitation: Legacy does not accept knowledgeItemId, no ownership check) Real call chain: FeynmanExecutionRouter.evaluateFeynman():121 → FeynmanSnapshotBuilder.build():102-110 → knowledgeItem.userId !== input.userId → ForbiddenException → before AiJobCreationService.createJob():124 → NestJS → HTTP 403 Co-Authored-By: Claude <noreply@anthropic.com>	2026-06-21 17:46:14 +08:00