# bikeslop

A local web app for visualising Garmin cycling GPX files with AI coaching insights powered by a local LLM.

![bikeslop screenshot](static/bikeslop.png)

## Features

- **Route map** — Leaflet.js map with per-segment polylines coloured by heart-rate intensity zone
- **Elevation & HR charts** — Chart.js profiles plotted against cumulative distance
- **Stats sidebar** — distance, duration, speed, elevation gain, avg/max HR, HR zone breakdown (Karvonen)
- **AI coaching insights** — streaming post-ride feedback from a local LLM (via OpenAI-compatible API)
- **Garmin sync** — fetch new rides directly from Garmin Connect, including MFA support
- **Imperial/metric toggle** — persisted in `localStorage`

## Requirements

- Python 3.14+
- [uv](https://github.com/astral-sh/uv)
- A local OpenAI-compatible LLM server (e.g. [llama.cpp](https://github.com/ggerganov/llama.cpp), [Ollama](https://ollama.com))

## Setup

```bash
# 1. Clone and install dependencies
git clone https://git.torrtle.co/ryan/bikeslop
cd bikeslop
uv sync

# 2. Drop your GPX files into garmin_gpx_exports/
#    (or use the in-app "Fetch from Garmin" button)

# 3. Start the server
LLAMACPP_BASE_URL=http://localhost:8080/v1 uv run uvicorn app:app --reload
```

Open http://localhost:8000 in your browser.

## Configuration

| Env var | Default | Description |
|---|---|---|
| `LLAMACPP_BASE_URL` | `http://localhost:8080/v1` | Base URL of your OpenAI-compatible LLM endpoint |

The model name is auto-discovered from `GET /v1/models` at startup. If the endpoint is unreachable, insights generation is still available — only that feature degrades.

## GPX files

Place `.gpx` files exported from Garmin Connect (or any GPX-compliant device) in the `garmin_gpx_exports/` directory. The app parses all files at startup. Supported data:

- Track points with `lat`/`lon`/`ele`/`time`
- Heart rate via the Garmin extension namespace (`ns3:hr`)

Activities with no track points (e.g. indoor rides) are listed with an "Indoor" badge and shown without a map or charts.

## Standalone GPX downloader

`main.py` is a standalone script for bulk-downloading your Garmin Connect cycling activities as GPX files without running the web server:

```bash
uv run python main.py
```

## API

| Method | Path | Description |
|---|---|---|
| `GET` | `/api/rides` | Summary list of all rides (no track points) |
| `GET` | `/api/rides/{id}` | Full ride metadata + cached insight |
| `GET` | `/api/rides/{id}/points` | Full lat/lon/ele/hr array |
| `POST` | `/api/rides/{id}/insights?rhr=60` | Stream AI coaching insight |
| `POST` | `/api/insights/generate-all?rhr=60` | SSE stream — generate insights for all rides |
| `POST` | `/api/fetch-rides` | SSE stream — fetch new rides from Garmin Connect |
| `POST` | `/api/mfa` | Submit MFA code for an in-progress Garmin session |

## HR zone boundaries (Karvonen)

Zones are calculated from your resting HR (configurable in the UI) and the lifetime max HR observed across all rides:

| Zone | % of HRR |
|---|---|
| Z1 | < 50% |
| Z2 | 50–60% |
| Z3 | 60–70% |
| Z4 | 70–80% |
| Z5 | > 80% |

## License

MIT
