1562929f6baaaab70d29a0271033b6d87303b7bd
Root cause: the OnboardingTour early-return is gated on isComplete=true, but App.tsx was calling onboarding.reset() on onComplete. reset() does the inverse: clears the localStorage key and flips isComplete to FALSE. The user clicked X, the localStorage key got written, but the App-level flag flipped to false, so the tour re-rendered and the early-return did not fire — the dialog stayed visible. Fix: split the dismiss and reset paths into two distinct callbacks onComplete (dismiss) and onReset (re-show). Added markComplete to useOnboarding: flips isComplete to true. App wires: onComplete -> onboarding.markComplete() onReset -> onboarding.reset() The tour itself still calls writeComplete() before invoking onComplete, so the localStorage key is written once on dismiss. Also cleaned markComplete: it now only flips state (the tour already wrote the key), removing a redundant double-write. Verified npm run build green on docker-willester. No regression expected; all other Sprint 9 code paths untouched.
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 |
Languages
Python
72.5%
TypeScript
25.9%
JavaScript
0.5%
PLpgSQL
0.4%
CSS
0.3%
Other
0.2%