Public Access
247 lines
8.2 KiB
Markdown
247 lines
8.2 KiB
Markdown
# Meal Planner - Orientation Guide
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This document is the **first stop** for any agent resuming work on this project after context compaction. Read it before doing anything else.
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---
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## Project Overview
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**MealPlanner** is a self-hosted meal planning system for a family of 4 (2 adults, 2 children) that integrates with Lucky California grocery store to source ingredients from weekly sales, sends meal proposals via email, generates shopping lists, and learns from feedback.
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### Key Problem Being Solved
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The family has been using meal kit services (Blue Apron → EveryPlate → HungryRoot → Sunbasket) which suffer from:
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- 3x ingredient markup in cost
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- Repetitive meals and sauces
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- Forcing app login to manage meal selection
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- No home pantry integration
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### Current Status
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**Phase**: Post-adversarial-review fixes applied. Ready for verification.
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**Adversarial Review Completed**: 2026-05-04
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- All consensus blockers (§1.1 - §1.8) addressed
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- All high-risk gaps (§2.1 - §2.8) addressed
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- Key fixes applied:
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- Recipe-ingredient: JSONB only (removed join table)
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- Family member: Added `family_member` table for per-voter tracking
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- Approval flow: Redesigned with confirmation page + POST + per-voter tokens + TTL
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- Auth: VPN-only for admin endpoints, session-based for family web UI
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- Schema: ENUMs, CHECKs, CITEXT for ingredients, ISO day_of_week (1=Mon)
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- Lucky URL: Fixed to `https://luckysupermarkets.com`
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- Docker: Hardened (no direct port exposure to backend/frontend)
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- Alembic: Configured with migration policy
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---
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## Architecture Summary
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```
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User (email) ──► SendGrid ───────────────────────────────┐
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User (web) ───► React UI ──► nginx ──► FastAPI ──────────┼──► PostgreSQL
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│ │
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└──► Lucky CA scraper ──┘
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(luckysupermarkets.com)
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```
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### Services (Docker Compose)
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- **backend**: FastAPI Python app (port 8000, internal only)
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- **frontend**: React + Tailwind (port 3000, internal only via nginx)
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- **db**: PostgreSQL 15 (internal only)
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- **nginx**: Reverse proxy with SSL (ports 80/443)
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### Tech Stack
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- Backend: Python 3.11, FastAPI, SQLAlchemy 2.0, Alembic
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- Frontend: React 18, TypeScript, Tailwind CSS, React Query, Vite
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- Database: PostgreSQL 15 with ENUMs and CITEXT
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- Scraping: Playwright, BeautifulSoup
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- Email: SendGrid
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- Hosting: Docker Compose, nginx
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---
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## Family Profile
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### Household
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- 2 adults, 2 children
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- 3 of 4 members do NOT like mushrooms
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- No allergies
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- Goals: Calorie, budget, and health conscious; tasty but not expensive
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### Family Members
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| Member | Role | Mushroom Preference |
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|--------|------|-------------------|
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| Adult 1 | Adult | Does NOT like mushrooms |
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| Adult 2 | Adult | Likes mushrooms |
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| Child 1 | Child | Does NOT like mushrooms |
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| Child 2 | Child | OK with mushrooms |
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### Approval Workflow (REDESIGNED)
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1. System generates 7-day meal plan (Sunday)
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2. Email sent to all adults with meals, images, approval page links
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3. Email link → confirmation page (GET, not auto-approve)
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4. Adult clicks Approve/Deny → POST with reason
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5. Per-member token (single-use, 72h TTL)
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6. Majority approve → meal confirmed; any deny → swap
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7. After approval → shopping list generated
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---
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## Database Schema Highlights
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### Core Tables
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- `family_profile` - Household configuration with household_size CHECK
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- `family_member` - Individual family members with email, role, mushroom preference
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- `recipe` - Recipes with JSONB ingredients (not join table)
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- `ingredient` - Master list with name_lower (CITEXT for case-insensitive matching)
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- `meal_plan` - Weekly plan with ISO day_of_week (1=Mon, 7=Sun)
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- `meal_plan_item` - Individual meal with approval status
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- `meal_plan_vote` - Per-member votes (one vote per member per meal)
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- `approval_token` - Single-use tokens with TTL and status tracking
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- `home_pantry` - Family's on-hand ingredients
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- `feedback` - Ratings, denial reasons, never-suggest flags
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- `grocery_item` - Scraped Lucky California items with FK to ingredient
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- `scrape_log` / `email_log` - Operation history
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### Key Relationships
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- `family_profile` 1:N `family_member`
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- `family_profile` 1:N `meal_plan`
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- `family_member` 1:N `meal_plan_vote` (per-voter tracking)
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- `recipe` 1:N `meal_plan_item`
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- `meal_plan` 1:N `meal_plan_item`
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- `meal_plan_item` 1:N `meal_plan_vote`
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- `meal_plan_item` 1:N `approval_token`
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- `grocery_item` → `ingredient` (FK)
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---
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## Implementation Phases
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| Phase | Description | Status |
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|-------|-------------|--------|
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| 1 | Infrastructure (Docker, PostgreSQL, FastAPI, React, nginx) | **Complete** |
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| 2 | Database & Models (SQLAlchemy models, Alembic migrations) | **Post-review fixes applied** |
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| 3 | API Endpoints (CRUD, meal plans, shopping list, feedback) | Not Started |
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| 4 | Lucky California Scraper (weekly ad, Playwright) | Not Started |
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| 5 | Recipe Engine (CRUD, tagging, search) | Not Started |
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| 6 | Meal Planner Engine (generation algorithm, substitutions) | Not Started |
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| 7 | SendGrid Email Integration | Not Started |
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| 8 | Web UI - Core (Dashboard, Meal Detail, Approval, Pantry) | Not Started |
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| 9 | Web UI - Feedback (Feedback Portal, Learning) | Not Started |
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| 10 | Shopping List & Print | Not Started |
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| 11 | Image Strategy (scraped + AI fallback) | Not Started |
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| 12 | Polish & Future (variety analysis, budget tracking) | Not Started |
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---
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## Environment Variables
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```bash
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# Database
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DATABASE_URL=postgresql://mealplanner:password@db:5432/mealplanner
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POSTGRES_PASSWORD=secure_password
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# SendGrid
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SENDGRID_API_KEY=SG.xxx
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# Family
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FAMILY_EMAIL_1=user@example.com
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FAMILY_EMAIL_2=spouse@example.com
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# Scraping
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LUCKY_CA_URL=https://luckysupermarkets.com
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# AI Images (optional)
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AI_IMAGE_ENABLED=false
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# Auth
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SECRET_KEY=change-me-in-production
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```
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---
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## Next Steps
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### IMMEDIATE: Verify skeleton with verification matrix
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```bash
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docker compose config
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docker compose build backend
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docker compose build frontend
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docker compose up -d db
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docker compose run --rm backend python -c "from app.main import app; print(app.title)"
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docker compose run --rm backend alembic upgrade head
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docker compose run --rm frontend npm run build
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```
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If any of these fail, fix before proceeding.
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### After Verification
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1. Phase 2: Implement real API endpoints (not placeholders)
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2. Phase 3: Connect database models to endpoints
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3. Phase 4: Spike Lucky California scrape (before committing to full schema)
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---
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## Current Git State
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```bash
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git log --oneline
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624b516 docs: update ORIENTATION.md for Phase 1 complete
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1328ec3 feat: add Phase 1 infrastructure skeleton
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0c5b0aa docs: add complete project documentation
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```
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**Pending commit**: All adversarial review fixes (models, schema, docker-compose, docs updates)
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---
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## Important Conventions
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### Code Style
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- Python: Black formatter, isort for imports
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- TypeScript: Prettier, ESLint
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- No comments unless explaining non-obvious logic
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### Git Commits
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- Conventional commits: `feat:`, `fix:`, `docs:`, `refactor:`, `test:`
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- One logical change per commit where possible
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### API Design
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- RESTful endpoints with proper HTTP methods and status codes
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- Pydantic schemas for request/response validation
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- Email approval links use GET → confirmation page → POST
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- Per-voter tokens, not shared household tokens
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### Database
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- Always use UUIDs for primary keys
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- Timestamps with timezone (TIMESTAMPTZ)
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- Use ENUMs for status fields (not loose VARCHAR)
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- Use CITEXT or lowercase-on-write for name matching
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### Testing
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- Write unit tests for services (pytest)
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- Integration tests for API endpoints
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- Frontend: component tests with React Testing Library
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---
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## Known Issues / Open Questions
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1. **Lucky California scraping**: Feasibility not yet spiked. URL is `luckysupermarkets.com`.
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2. **AI image generation**: Config flag to enable/disable. Disabled by default.
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3. **WhatsApp integration**: Planned for future via Twilio. Out of scope for MVP.
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4. **Planned scheduler**: APScheduler with `--workers 1` to avoid duplicate fires.
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---
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## Contact / Context
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- **Primary user**: Peter (tech-savvy, hosts the system)
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- **Wife**: Non-technical, will use web UI and email
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- **Children**: 2, eating habits vary (one OK with mushrooms)
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Last updated: 2026-05-04 (all adversarial review fixes committed)
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