# Fitness Web

Multi-user fitness tracking web app with AI coaching.

Track workouts, log daily check-ins, explore exercise history, and chat with an AI coach powered by opencode.

## Features

- **Workouts** — Plan and log workouts with set-level detail (reps, weight, RPE)
- **Exercises** — Catalog with body-part filtering and history
- **Check-ins** — Daily weight, calories, steps, sleep tracking
- **AI Coach** — Chat interface backed by opencode (Big Pickle model, free)
- **Multi-user** — Login-based, each user has independent data
- **Calendar view** — See your training history at a glance

## Quick Start

```bash
# Install dependencies
uv sync

# Initialize and seed the database
uv run python scripts/schema.py
uv run python scripts/seed.py

# Start the dev server
uv run uvicorn app.main:app --reload
```

Open http://localhost:8000, register a user, and you're ready.

## Docker

```bash
docker compose up -d
```

## Architecture

```
app/
├── main.py          — FastAPI app factory with lifespan
├── config.py        — Settings from environment
├── auth.py          — Auth helpers (hash, verify, session)
├── models/          — SQLAlchemy ORM models
├── routers/         — Route handlers per feature
├── services/        — External service integrations (opencode)
├── templates/       — Jinja2 templates (Pico.css)
└── static/          — CSS overrides
scripts/
├── schema.py        — DB table creation
└── seed.py          — Seed exercises and phases
data/                — SQLite database (gitignored)
```

## Related

- [fitness-agent](https://github.com/yourname/fitness-agent) — Original training repo with markdown logs and Juggernaut history. This web app replaces it.