- migrations/152: ALTER TYPE doc_category ADD VALUE 'law' (DDL only; PG16 단일-트랜잭션 제약상 backfill 은 별도)
- models/document.py: Enum 에 'law' 추가 (7 활성 + 3 유보)
- workers/law_monitor.py: Document(..., category='law') — 신규 유입부터 세팅
- workers/classify_worker.py: source_channel='law_monitor' early-return + 최소 필드 (ai_domain='법령', ai_tags=['법령'], importance='medium'). AI classify skip — 법령 구조 고정/외부 source of truth/자동 재수집
- scripts/backfill_category.py: law 분기 + WHERE re-target ((source_channel='law_monitor' AND category='document')) + VERIFY cat_law/law_source_count + fail 조건
- api/documents.py: default 목록 제외에 law_monitor 추가 (news 와 동일 패턴)
- api/dashboard.py: documents count FILTER 에 law_monitor 제외 (category_counts.law 는 기존 GROUP BY category 로 자동 노출)
- frontend/Sidebar.svelte: '법령 알림' 버튼 ?source=law_monitor → ?category=law (explicit category 경로가 default exclusion 을 skip)
plan: ~/.claude/plans/stateless-churning-raccoon.md
axis 원칙: category=UI 축, policy/telemetry=source_channel+ai_domain 축 (feedback_category_vs_ai_domain_axis.md)
배포 순서: push → GPU pull → compose up --build fastapi frontend → backfill --dry-run → --apply.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- extract_worker: LibreOffice 15000자 절단 제거 (full text 저장 원칙)
- classify_worker/summarize_worker: 요약 입력 15000→50000자 확대
- client.py: 길이 기반 Claude 자동전환 제거 (require_explicit_trigger 정책 준수)
_call_chat의 primary→fallback(exaone3.5) 체인은 유지
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- config.yaml: 6개 domain × 3단계 taxonomy + 13개 document_types 정의
- classify.txt: 영문 프롬프트, taxonomy 경로 기반 분류 + 분류 규칙 주입
- classify_worker: taxonomy 검증, confidence 기반 분류, document_type 저장
- migration 008: document_type, importance, ai_confidence 컬럼
- API: DocumentResponse에 document_type, importance, ai_confidence 추가
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- queue.py: process_stage enum에 'preview' 추가
- classify_worker: ai_summary에 strip_thinking() 적용
- CLAUDE.md: 현재 아키텍처 전면 반영 (파이프라인, UI, 인프라, 코딩규칙)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- queue_consumer: extract 완료 시 classify + preview 동시 등록
- classify_worker: _move_to_knowledge() 제거, 파일 원본 위치 유지
- DocumentCard: 좌측 domain별 색상 바 (4px) 추가
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
HIGH:
- Lock setup TOTP/NAS endpoints behind _require_setup() guard
(prevented unauthenticated admin 2FA takeover after setup)
- Sanitize upload filename with Path().name + resolve() validation
(prevented path traversal writing outside Inbox)
MEDIUM:
- Add score > 0.01 filter to hybrid search via subquery
(prevented returning irrelevant documents with zero score)
- Implement Inbox → Knowledge file move after classification
(classify_worker now moves files based on ai_domain)
- Add Anthropic Messages API support in _request()
(premium/Claude path now sends correct format and parses
content[0].text instead of choices[0].message.content)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Implement kordoc /parse endpoint (HWP/HWPX/PDF via kordoc lib,
text files direct read, images flagged for OCR)
- Add queue consumer with APScheduler (1min interval, stage chaining
extract→classify→embed, stale item recovery, retry logic)
- Add extract worker (kordoc HTTP call + direct text read)
- Add classify worker (Qwen3.5 AI classification with think-tag
stripping and robust JSON extraction from AI responses)
- Add embed worker (GPU server nomic-embed-text, graceful failure)
- Add DEVONthink migration script with folder mapping for 16 DBs,
dry-run mode, batch commits, and idempotent file_path UNIQUE
- Enhance ai/client.py with strip_thinking() and parse_json_response()
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Hyungi Ahn