Claude
a6e6e2f54f
v2.0: dual deployment — pip install (SQLite) + Docker (PostgreSQL)
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Architecture:
- Moved backend/app/ to diligence/ Python package
- Dialect-agnostic models (Uuid + JSON, no PostgreSQL imports)
- Auto-detect database: empty DATABASE_URL → SQLite at ~/.diligence/data.db
- Cross-dialect migrations (inspector-based, no raw PostgreSQL DDL)
- FastAPI serves pre-built React frontend for pip path
- CLI entry point: diligence [--port] [--no-browser] [--data-dir]
- pyproject.toml with optional deps: [postgres], [mcp], [dev]
- Docker path unchanged: docker compose up -d
pip install path: pip install . && diligence
Docker path: ./setup.sh && docker compose up -d
2026-07-01 03:30:12 +00:00
Claude
0670bca9b1
Stream C frontend: ChatCoach page, nav update, README with AI providers + agent configs
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Frontend:
- ChatCoach.jsx: streaming chat UI with SSE, provider indicator, suggestion
chips, 'no AI configured' state with setup link
- App.jsx: import + /chat route + nav bar (More → Coach with brain emoji)
- api.js: getAIStatus() method
Documentation:
- README.md: 'Built-in AI Coach' section with 8-provider table, external
agent config snippets for Claude Desktop, Claude Code, Cursor, Windsurf,
and COROS multi-MCP pattern
- AGENT_GUIDE.md: multi-device integration, Strava AI/ML warning,
provider-agnostic statement
Nav bar: Home | Log | Keto | Programs | Coach
Settings still reachable at /settings (linked from Coach setup prompt)
2026-06-21 23:28:07 +00:00
Claude
83e715dbc4
README: platform-specific install guides for Windows 11 (WSL2/Hyper-V/BIOS), macOS (Apple Silicon/Intel/Homebrew), Linux
2026-06-16 03:36:06 +00:00
Claude
dfc5ab3c9d
Add Windows setup (setup.ps1), expand README with cross-platform install, Claude Desktop example, backup/restore, architecture diagram, .dockerignore
2026-06-16 03:25:03 +00:00
Claude
c133a463ec
Deliver Step 9: agent-card.json, SKILL.md, USDA lookup, integrations dynamic config, Welcome/Integrations/MealPlan pages, API methods, README, routes
2026-06-15 14:40:34 +00:00
claude
4db2b0846b
Initial commit: full fitness-rewards app
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Backend: FastAPI + PostgreSQL + SQLAlchemy async
- Auth (JWT), onboarding (PAR-Q+, TTM, BREQ-2), activities, food log
- Points engine with daily gate + weekly targets
- Strava + Polar OAuth integration
- Open Food Facts barcode lookup
- Resource recommendation engine
- 10 seeded Darebee/StrongLifts/YouTube programs
Frontend: React + Vite, mobile-first dark theme
- Login/Register, 8-step onboarding flow
- Dashboard with daily gate status
- Activity logger, food logger (manual + barcode scan + search)
- Reward shop with redemption
- Weekly summary view
- Settings (point rules, targets, integrations)
Deployment: Docker Compose for Coolify (Traefik)
2026-03-14 23:53:00 +00:00
