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a8debbe96a
Sprint 16.1 (commit 11cfd46) is a one-line fix that lowers
_DAILY_LIMIT in backend/app/api/recipe_search.py:48 from
140.0 to 45.0. The 140 value was set assuming Spoonacular's
free tier is 150 pts/day; Sprint 15 round 1 proved the real
cap is 50 pts/day. The gate now triggers at 45 (5pt safety
margin), preventing the user from making requests that
would 503 after a 402 upstream roundtrip.
This commit updates the 6 running docs that track sprints:
- .agent/plan.md — Sprint 16.1 section appended to the
Sprint 16 sections.
- .agent/context.md — Sprint 16.1 decisions + file:line
references added.
- Review/sprint16-verification.md — Sprint 16.1 section
appended (one-line change + verification).
- Review/ui-nielsen-audit.md — Sprint 16.1 paragraph added
to the Sprint 16 status block.
- fix-ui-audit.md — T9.6 added to the Sprint 16 section.
- Review/handoff-ui-audit.md — TL;DR Sprint 16.1 line
added, Last-updated footer updated.
- docs/HANDOFF.md — Tracking docs reference updated to
include Sprint 16.1, Last-updated footer updated.
All 6 docs now reflect Sprint 16.1.
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, with interactive checkboxes to track purchased items
- Pantry Integration: Specify home items to incorporate into suggestions
- Web UI: Modern interface for the whole family
- Learning: Feedback-based meal recommendations, with weekly auto-discovery of new recipes from external APIs when family preferences are signaled
- Recipe Images: Scraped from public recipe sites, AI fallback available
- Unit Conversion: Converts recipe quantities (cups, tbsp, lb) to grocery units for accurate cost estimates
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 |