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feat(D1): models.json 集中化 — ADR-067 五大 Ollama 應用 hardcode 消除
CD Pipeline / build-and-deploy (push) Successful in 12m56s
- models.json v1.3.0: providers.ollama.models 新增 9 個 purpose keys
(drift_summary/drift_intent/log_anomaly/nemoclaw/playbook_draft/
code_review/embedding/rag_generate/image_analysis)
- drift_narrator_service: NARRATOR_MODEL → get_model("ollama","drift_summary")
- drift_interpreter: MODEL → get_model("ollama","drift_intent")
- log_summary_service: SUMMARY_MODEL → get_model("ollama","log_anomaly")
- local_code_review_service: _MODEL_OLLAMA → get_model("ollama","code_review")
- image_analysis_service: _MODEL → get_model("ollama","image_analysis")
- decision_manager: nemoclaw + playbook_draft 兩處 → get_model()
- embedding_service: get_embedding_service() factory → get_model("ollama","embedding")
- knowledge_service: OllamaEmbeddingService(model=...) → get_model()
所有模型名稱現在統一由 models.json 管理，修改模型只需改一個檔案。
LOGBOOK 更新：D1 完成 + B2 已完成確認
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-04-11 20:45:53 +08:00 |
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fix(knowledge): entrystatus enum 大小寫修正 'archived' → 'ARCHIVED'
CD Pipeline / build-and-deploy (push) Successful in 12m47s
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-04-06 11:25:44 +08:00 |
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feat(phase25): Nemotron 主動防禦三方向 P0+P1+P2 完整實作
CD Pipeline / build-and-deploy (push) Failing after 38s
Type Sync Check / check-type-sync (push) Failing after 35s
P0 - DIAGNOSE Privacy-First Routing:
- ai_router.py: _local_fallback_chain [NEMOTRON→OLLAMA→REJECT]
- DIAGNOSE 意圖 override 改為 NEMOTRON (原 OLLAMA)
- DIAGNOSE fallback 使用 local-only 鏈，不觸碰雲端
- 全部失敗時 REJECT + Telegram 通知
- config.py: NEMOTRON_DIAGNOSE_TIMEOUT_SECONDS=30, OLLAMA_DIAGNOSE_TIMEOUT_SECONDS=60
- nemotron.py: 根據 context[task_type] 選擇 timeout
P1 - Knowledge Auto-Harvesting:
- models/knowledge.py: EntryType.AUTO_RUNBOOK + ANTI_PATTERN + symptoms_hash
- EntryStatus.PUBLISHED (ANTI_PATTERN 直接發布，無需審核)
- models/playbook.py: SymptomPattern.compute_hash() (16字元確定性 hash)
- services/runbook_generator.py: NemotronRunbookGenerator (v1.1)
- generate_runbook() → AUTO_RUNBOOK (DRAFT) + Telegram 審核 card
- generate_anti_pattern() → ANTI_PATTERN (PUBLISHED) + Telegram 通知
- 使用 nvidia.chat() (正確介面)，Nemotron 超時時 Minimal fallback
- knowledge_service.py: check_anti_pattern(symptoms_hash, days=7)
- db/models.py: symptoms_hash VARCHAR(16) + ix_knowledge_symptoms_hash
- repositories/knowledge_repository.py: create() 支援 symptoms_hash + status
- auto_repair_service.py: anti_pattern_gate 在 decide() + runbook hook 在 execute()
- migrations/phase8_symptoms_hash.sql: ALTER TABLE + partial index + PUBLISHED constraint
P2 - Config Drift Detection:
- models/drift.py: DriftItem/DriftReport/DriftLevel/DriftIntent/DriftStatus
- services/drift_detector.py: GitStateReader + K8sStateReader + DriftDetector
- services/drift_analyzer.py: 白名單過濾 + DriftLevel 分級
- services/drift_interpreter.py: NemotronDriftInterpreter（意圖分析，不生成修復指令）
- services/drift_remediator.py: rollback(kubectl apply) + adopt(git push gitea)
- api/v1/drift.py: POST /scan, GET /reports, POST /rollback, POST /adopt
- migrations/phase9_drift_reports.sql: drift_reports 表
- k8s/drift-cronjob.yaml: 每小時自動掃描 CronJob
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-04-04 12:35:05 +08:00 |
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fix(knowledge): 首席架構師 Review 修復 C1+C2+I1+I2 (71→~88/100)
CD Pipeline / build-and-deploy (push) Successful in 7m16s
C1: IKnowledgeRepository Protocol 補齊 save_embedding + semantic_search +
list_unembedded_entries，恢復 Interface 先行保護層
C2: embed_all_entries Service 層 raw SQL 移至 Repository.list_unembedded_entries()
Service 改透過 Protocol 呼叫，符合 leWOOOgo 積木化原則
I1: asyncio.create_task 加入 _pending_tasks set 持有引用，防 GC 回收與
Shutdown 時 Task 遺失；task done 後自動 discard
I2: OllamaEmbeddingService 從每次 new 改為 KnowledgeService.__init__ 注入，
單一實例重用
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-04-04 11:22:38 +08:00 |
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feat(knowledge): pgvector RAG — 語意搜尋 + 背景 Embedding 管線
CD Pipeline / build-and-deploy (push) Has been cancelled
- repository: save_embedding (raw SQL pgvector cast) + semantic_search (cosine <=>)
- service: create_entry 背景 embed + semantic_search + embed_all_entries 批次補 embed
- router: GET /semantic-search (q/limit/threshold) + POST /embed-all 管理端點
向量模型: nomic-embed-text (Ollama 192.168.0.188, 768 dims)
索引: ivfflat cosine (knowledge_entries.embedding vector(768))
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-04-04 11:17:24 +08:00 |
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fix(api): KB 架構審查修復 I3-I5
E2E Health Check / e2e-health (push) Successful in 17s
CD Pipeline / build-and-deploy (push) Has been cancelled
- I3: Service 層加 IKnowledgeRepository Protocol 型別標注
- I4: search 方法加入 tags JSONB 搜尋 (cast→String→ilike)
- I5: get_categories 獨立方法，不再繞道 list_entries(limit=0)
首席架構師審查 87/100 → 全部 Important issues 已修復
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-04-02 09:05:54 +08:00 |
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feat(api): Knowledge Base Phase 1 後端四層架構
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E2E Health Check / e2e-health (push) Successful in 17s
Type Sync Check / check-type-sync (push) Failing after 30s
- models/knowledge.py: Pydantic Schema (EntryType/Source/Status/CRUD)
- db/models.py: KnowledgeEntryRecord ORM (PostgreSQL)
- repositories/interfaces.py: IKnowledgeRepository Protocol
- repositories/knowledge_repository.py: PostgreSQL CRUD 實作
- services/knowledge_service.py: 業務邏輯 (get_db_context 內部管理 session)
- api/v1/knowledge.py: REST Router (get_knowledge_service，無直接 DB 存取)
- main.py: 掛載 Knowledge Base Router
- k8s/jobs/migrate-knowledge-entries.yaml: DB Migration Job
API 端點: GET/POST / | GET/PATCH/DELETE /{id} | POST /{id}/approve
GET /search | GET /categories
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-04-02 00:55:56 +08:00 |
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