admin 415eb8340d docs: Sprint 15 round 2 — +18 recipes, library at 67 total, LLM 21/21
Sprint 15 round 2 (commit 97b84a7) added seed_recipes_round2.py
which seeded 18 more Spoonacular recipes today. Library went
49 -> 67 total. LLM test (Sprint 13 endpoint, week 2026-07-20):
  {picked_count: 0, filled_count: 21, failed_count: 0}
The library now covers all 21 slots of a week (was 19/21 + 2
failed in round 1).

This commit updates the 6 running docs:

- .agent/plan.md — Sprint 15 Round 2 section (S15R2.1-S15R2.4
  + Done when + Out of scope) added after the round 1 sections.
  50-query list documented by category.
- .agent/context.md — Round 2 decisions (D7-D10) added: list
  focuses on cuisines round 1 didn't cover, round 2 is a
  separate script, library at 67 with 21/21 LLM coverage.
- Review/sprint15-verification.md — Round 2 section appended
  with: 50-query list, 18-imported result, 12 no-hits, 1 402,
  updated DB state (37 Spoonacular + 30 manual = 67), LLM
  test result, round 3 follow-up ticket.
- Review/ui-nielsen-audit.md — Round 2 paragraph added to the
  Sprint 15 status block.
- fix-ui-audit.md — T8.6 added to the Sprint 15 section.
- Review/handoff-ui-audit.md — TL;DR and Sprint 15 section
  updated with round 2.
- docs/HANDOFF.md — Round 2 paragraph added to the Sprint 15
  section, Last-updated footer updated.

All 6 docs now reflect Sprint 15 round 2. Library has 67 unique
recipes — 1.25x rotation across 4 weeks of planning. Round 3
can add 30+ more by re-running scripts/seed_recipes.py on the
next day (its query list has round 1 cap-blocked American +
Mediterranean cuisines still to import).
2026-06-07 16:20:44 -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%