Closes the biggest content gap found against PRD.md §3.1 P0: group chat
catch-up was one of only two v1 MVP scenarios and had zero implementation.
Backend (core-backend):
- ConversationParticipant.LastReadMessageID read marker.
- POST /conversations/:id/read advances the caller's marker (never backward).
- GET /conversations/:id/summary builds context from messages since that
marker and calls ai-service's new POST /summarize; returns unread_count
and needs_reply.
- GET /conversations now reports unread_count per room.
- Safety: group conversations now unconditionally block twin-authored
sends (POST /conversations/:id/messages), regardless of the sender's
global autonomy level. PRD.md §2.3-③ requires this scenario stay L0-fixed
with no auto-send; autonomy level is a per-user global setting today, so
this closes the only path a global L2 whitelist match could otherwise
auto-send into a group.
AI service (ai-service): new summarize.py module (same Gemini-call shape as
generation.py's draft_reply, no escalation/identity gating since nothing
generated here is ever sent) + POST /summarize.
Mobile: "새 대화" dialog now supports adding/removing multiple peer fields
(2+ peers -> is_group:true automatically); unread badge on conversation
rows; ChatScreen takes isGroup and renders its L1 panel as L0-locked for
groups; new "안 본 동안 요약" AppBar action opens a dialog with the summary
and, when a reply looks needed, a button that feeds straight into the
existing draft-request flow.
Verified with a real Flutter build against a live core-backend + ai-service
instance (Playwright driving 3 demo accounts through group creation, unread
badges, and the summary dialog) — this caught a real ordering bug: marking
the read marker on chat *open* meant the summary was always empty by the
time you could tap it, since opening the room already advanced the marker
past everything you'd come to catch up on. Fixed by marking read on screen
*exit* (dispose) instead, so the marker reflects what was unread that whole
visit and updates once you leave.
go test / pytest / flutter analyze+test all pass.
ai-service:
- escalation_filter/retrieve_style/generation/main(FastAPI)의 ad-hoc
TestClient 검증을 ai-service/tests/ 정식 pytest 스위트로 승격(34개).
Gemini 호출은 mock, retrieve_style은 overlap이 recency를 항상
이긴다는 것(과거 버그 재발 방지)까지 포함
- on_event(deprecated) -> lifespan 컨텍스트 매니저로 교체
core-backend: 자율성 플로우(L0->L1->L2) 통합 테스트를 쓰려면 실제 분기
로직이 있어야 해서, roadmap.md §2.2에서 미결로 남아있던 자율성 엔진
오케스트레이션 최소 버전을 이번에 구현:
- PATCH /users/:id/twin-settings -- 자율성 레벨 변경 (기본값 L0)
- 트윈 발송 시 에스컬레이션 통과 후 레벨 확인: L0는 항상 차단, L1은
approved:true 필요, L2는 화이트리스트 매칭 시 즉시 자동발송·매칭
없으면 L1과 동일하게 승인 필요. 에스컬레이션은 레벨/화이트리스트/
승인 여부와 무관하게 항상 우선(테스트로 확인)
- 화이트리스트 매칭은 v1 최소 구현(전역 키워드 매칭, 상대별 예외는
아직) -- 대화방↔연락처 연결이 모델링되지 않아 보류, README에 명시
온보딩·채팅·설정 수동 QA는 Flutter 클라이언트가 없어 이 환경에서는
보류, roadmap.md에 근거 남김
Claude