Files
resolutionflow/docker-compose.dev.yml
chihlasm 9bad49d568 feat(knowledge-flywheel): add Phase 3 Knowledge Flywheel — AI analysis, review queue, analytics
Phase 3 implementation:
- AI session analysis service that generates flow proposals from resolved sessions
- APScheduler job for batch processing pending analyses (max_instances=1)
- Knowledge gap detection (weak options, high escalation signals)
- Flow proposals CRUD with team admin review workflow (approve/edit/dismiss/reject)
- FlowPilot analytics dashboard with confidence tiers, PSA metrics, knowledge gaps
- In-session script generator component
- Review queue page with filtering and proposal detail panel

Bug fixes from review (12 total):
- Fix "Edit & Publish" navigating to non-existent /editor/new route
- Hide Approve button for enhancement proposals (require Edit & Publish)
- Add max_instances=1 to scheduler to prevent TOCTOU race
- Fix eventual_success case() double-counting failed retries
- Add tree_structure validation before creating tree from proposal
- Simplify script generator rendering condition
- Add severity style fallback, toFixed on rates, Link instead of <a href>
- Add toast.warning on dismiss failure, fix dedup for domain-less sessions
- Cast Decimal to int in knowledge gap evidence dicts

Also updates CLAUDE.md with lessons 67-71 and Phase 3 project structure.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-19 05:12:10 +00:00

65 lines
1.7 KiB
YAML

name: resolutionflow
services:
db:
image: pgvector/pgvector:pg16
container_name: resolutionflow_postgres
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: resolutionflow
ports:
- "${POSTGRES_PORT:-5432}:5432"
volumes:
- rf_postgres_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 5s
timeout: 5s
retries: 5
backend:
build:
context: ./backend
dockerfile: Dockerfile.dev
container_name: resolutionflow_backend
ports:
- "8000:8000"
volumes:
- ./backend:/app
environment:
- APP_NAME=ResolutionFlow
- DEBUG=true
- DATABASE_URL=postgresql+asyncpg://postgres:postgres@db:5432/resolutionflow
- DATABASE_URL_SYNC=postgresql://postgres:postgres@db:5432/resolutionflow
- SECRET_KEY=${SECRET_KEY}
- ALGORITHM=HS256
- ACCESS_TOKEN_EXPIRE_MINUTES=15
- REFRESH_TOKEN_EXPIRE_DAYS=7
- FEEDBACK_EMAIL=feedback@resolutionflow.com
- AI_PROVIDER=anthropic
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- GOOGLE_AI_API_KEY=${GOOGLE_AI_API_KEY}
- CORS_ORIGINS=["http://localhost:3000","http://localhost:5173","http://127.0.0.1:3000","http://127.0.0.1:5173","http://192.168.0.9:5173","http://192.168.0.9:3000"]
depends_on:
db:
condition: service_healthy
frontend:
build:
context: ./frontend
dockerfile: Dockerfile.dev
container_name: resolutionflow_frontend
ports:
- "5173:5173"
volumes:
- ./frontend:/app
- /app/node_modules
environment:
- VITE_API_URL=http://192.168.0.9:8000
depends_on:
- backend
volumes:
rf_postgres_data: