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.
발견한 문제: POST /conversations/:id/messages가 sender_mode=twin을
검증 없이 그대로 저장·브로드캐스트하고 있었음 -- 에스컬레이션 게이트는
초안 생성(/draft) 경로에만 있었고 실제 발송 경로엔 없어서, 클라이언트가
/draft를 거치지 않고 바로 twin 메시지를 보내면 안전선을 완전히
우회할 수 있었다.
- ai-service: /draft와 별개인 POST /escalate/check 하드게이트 엔드포인트 추가
- core-backend: AIServiceClient.checkEscalation 추가, 메시지 저장 직전에
twin 발송이면 무조건 호출하도록 해서 발송이 실제로 일어나는 단
하나의 지점에서 막음. AI 서비스 응답 불가 시 fail-safe로 발송 차단.
에스컬레이션되면 저장/브로드캐스트 없이 escalation_logs에만 기록.
사람이 직접 보내는 메시지는 게이트 대상 아님
- core-backend: DELETE /users/:id 추가 -- 유저가 걸린 모든 행(트윈 설정·
화이트리스트·연락처·대화참여·메시지·에스컬레이션로그·유저 본인)을
트랜잭션으로 삭제 (tech-design.md §5 "사용자가 언제든 초기화 가능")
- 온디바이스 암호화·데이터 흐름 대시보드는 Flutter 클라이언트 책임이라
이 환경에서는 보류, roadmap.md에 근거 남김
Claude