spec-kit/examples/pantry-planner/specs/001-pantry-meal-planner/plan.md

Implementation Plan: 001-pantry-meal-planner

Created: 2026-08-18

Turn the spec into concrete technical decisions. Stay minimal: prefer the simplest structure that satisfies the spec, and justify anything that isn't.

Technical Context

• Language: Python 3 (stdlib only)
• Dependencies: none at runtime; pytest for tests
• Storage: two JSON files in the project dir — pantry.json, recipes.json (starter set written on first run)
• Testing: pytest, TDD; planner logic tested against handwritten pantries

Structure

pantry_planner/
  planner.py      # pantry CRUD, plan generation, shopping list derivation
  cli.py          # argparse: pantry add/remove/list, plan, shoplist
  recipes.json    # bundled starter set (10 recipes)
  tests/test_planner.py

Decisions

• D1: Greedy day-by-day plan generation with stock simulation — because R2 only demands feasibility, not optimality; rejected: constraint solver (overkill).
• D2: JSON files over SQLite — because two flat collections with <1k entries need no queries; rejected: SQLite (adds schema/migration weight).
• D3: Shopping list = sum(plan needs) − stock, clamped at 0 per item (R3) — computed on demand, never stored; rejected: persisting derived data.