Public Access
adminandClaude Opus 4.7
b523c58e77
Discovery: luckysupermarkets.com/config.json is publicly readable and
exposes firebaseApiKey. With proper Origin/Referer headers, Firebase
Identity Toolkit's anonymous-signup REST endpoint mints the same JWT
shape (iss=swiftly-lu-prod, aud=swiftly-lu-prod, anon provider, 3600s
TTL) that Swiftly accepts. Verified end-to-end on 2026-05-06.
This eliminates the manual hourly token-capture toil and supersedes
the seleniumbase-based scripts/refresh_swiftly_token.py (commit
ccfb38a) which had partial UI selector issues.
- New spec: docs/specs/2026-05-06-swiftly-token-auto-mint.md
- HANDOFF.md TL;DR refreshed (Phase 9 shipped); caveat #2 + #3
rewritten to point to the auto-mint redesign; suggested-next-move
reordered to put the redesign first
- ORIENTATION.md env-var section flags SWIFTLY_BEARER_TOKEN as
scheduled-for-removal; "Where to look" lists both specs;
last-updated footer refreshed
Implementation deferred — this commit captures the design and routing
only. Estimated 2-3 hours of focused work to ship per the spec.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Meal Planner
Self-hosted meal planning system that integrates with Lucky California grocery store, sends weekly meal proposals via email to family members, generates shopping lists, and learns from feedback.
Background
This project was born out of frustration with meal kit services (Blue Apron → EveryPlate → HungryRoot → Sunbasket) that:
- Escalate costs to 3x ingredient markup
- Fall into repetitive meal rhythms
- Force users to log into apps to manage selections
- Don't integrate with home pantry items
Features
- Grocery Integration: Scrapes Lucky California weekly ads and sales
- Family Approval Workflow: Email proposals with approve/deny; one denial swaps the meal
- Shopping List Generation: Weekly list grouped by store aisles, highlighting sales
- Pantry Integration: Specify home items to incorporate into suggestions
- Web UI: Modern interface for the whole family
- Learning: Feedback-based meal recommendations
- Recipe Images: Scraped from public recipe sites, AI fallback available
Architecture
- Backend: Python/FastAPI
- Database: PostgreSQL
- Frontend: React + Tailwind CSS
- Email: SendGrid
- Hosting: Docker Compose with nginx reverse proxy
Documentation
Quick Start
# Clone and start
docker-compose up -d
# View logs
docker-compose logs -f
# Stop
docker-compose down
Family Profile
Household: 2 adults, 2 children
- One adult likes mushrooms, one child OK with them
- Three family members do NOT like mushrooms
- No allergies
- Calorie, budget, and health conscious eating
Approval Workflow
- System generates 7-day meal plan based on sales, dietary constraints, budget, variety
- Email sent to both adults with meal previews
- One denial = meal swapped; no denials = auto-approved
- Shopping list generated after approval
Tech Stack
| Component | Technology |
|---|---|
| Backend | Python 3.11, FastAPI |
| Database | PostgreSQL 15 |
| Frontend | React 18, TypeScript, Tailwind |
| Scraping | Playwright, BeautifulSoup |
| SendGrid | |
| Hosting | Docker Compose, nginx |