admin 0668d40444 docs: Sprint 15 — seed 50 recipes + Sprint 12 latent-bug fix across all 6 running docs
Sprint 15 (commit a3c89bf) does two things: (1) reorders
backend/app/main.py so recipe_search_api.router mounts BEFORE
the WIP recipes_api.public_router (fixes a Sprint 12 latent
bug where /api/recipes/search was shadowed by the WIP's GET
/{recipe_id} returning 422); (2) adds scripts/seed_recipes.py
which seeded 18 Spoonacular recipes into the local library
today (free-tier 50-pt cap hit; remaining 32 to seed on later
days via the same idempotent script). DB went 31 -> 49 total
recipes.

This commit updates the 6 running docs that track sprints:

- .agent/plan.md — Sprint 15 section (S15.1-S15.4 + Done
  when + Out of scope) added after Sprint 14's out-of-scope.
- .agent/context.md — Sprint 15 decisions (D1-D6), open
  questions (Q1-Q2), and file:line references added.
- Review/sprint15-verification.md — NEW: full 18-imported
  breakdown by cuisine + free-tier math correction (50 pts/day,
  not 150) + LLM test (picked_count=0, filled_count=19,
  failed_count=2 for week 2026-07-06) + 6-risk table + deploy
  + 2 follow-up tickets (lower _DAILY_LIMIT, re-run script).
- Review/ui-nielsen-audit.md — Sprint 15 status block
  (T8.1-T8.3) added after the Sprint 14 block. Notes the
  Sprint 12 latent-bug fix as the critical change for the
  upcoming Sprint 12 deploy.
- fix-ui-audit.md — Sprint 15 section (T8.1-T8.5) added after
  the Sprint 14 section. T8.1 documents the main.py mount
  order fix in detail. T8.5 surfaces 2 follow-up tickets.
- Review/handoff-ui-audit.md — Batch K line in the deploy
  list, Sprint 15 section after Sprint 14, TL;DR Sprint 15
  line, Last-updated footer updated.
- docs/HANDOFF.md — Sprint 15 section after Sprint 14, Last-
  updated footer updated. Notes the corrected free-tier math
  and the 2 follow-up tickets.

All 6 docs now reflect Sprint 15. The Sprint 12 latent-bug
fix is documented as a hard prerequisite for the upcoming
Sprint 12 deploy (without it, every 'Search the web' query
would 422). Re-running scripts/seed_recipes.py on a later
day will add the remaining 32 recipes (the script is
idempotent — already-imported IDs return 409 and are
skipped).
2026-06-06 14:12:25 -07:00

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

  1. System generates 7-day meal plan based on sales, dietary constraints, budget, variety
  2. Email sent to both adults with meal previews
  3. One denial = meal swapped; no denials = auto-approved
  4. 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
Email SendGrid
Hosting Docker Compose, nginx
S
Description
No description provided
Readme
46 MiB
Languages
Python 72.5%
TypeScript 25.9%
JavaScript 0.5%
PLpgSQL 0.4%
CSS 0.3%
Other 0.2%