e047d884b6
Backend (uv): FastAPI app with routers (foods, log, targets, OFF proxy), SQLAlchemy models, Pydantic schemas, migration runner + 0001 initial schema, example pytest suite (7 tests). Frontend (npm): Vite 7 + Svelte 5 runes, lib/ (api, stores, scanner, format) per spec §7, placeholder components, example vitest suite (4 tests). SPEC.md §1: registered uvicorn and Vitest (rule §8.3.3).
1.4 KiB
1.4 KiB
CalCount
A personal, self-hosted calorie counter web app with barcode scanning via phone camera and OpenFoodFacts lookup. See SPEC.md for the full spec, data model, API design, and development rules (§8 — read it before writing code).
Stack
- Backend: Python ≥3.12, FastAPI, SQLAlchemy 2, Pydantic 2, SQLite, httpx — managed with uv
- Frontend: Svelte 5 (runes) + Vite 7, zxing-wasm barcode fallback — managed with npm (Node ≥22.12)
Project layout
backend/ FastAPI app (main.py), SQLAlchemy models, Pydantic schemas,
routers/, services/, migrations/, tests/
frontend/ Vite + Svelte SPA (src/), lib/ (api, stores, scanner, format),
components/
Setup
# Backend (uv creates .venv and installs from uv.lock)
cd backend
uv sync
# Frontend
cd frontend
npm install
Run
Two terminals:
# Terminal 1 — backend on http://localhost:8000
cd backend
uv run uvicorn main:app --reload
# Terminal 2 — frontend on http://localhost:5173 (proxies /api → :8000)
cd frontend
npm run dev
The SQLite database (backend/calcount.db) is created and migrated
automatically on backend startup (backend/migrations/).
Test
cd backend && uv run pytest # backend suite
cd frontend && npm test # frontend suite (vitest)
Build
cd frontend && npm run build # production build to frontend/dist/