bikeslop

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

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
• A local OpenAI-compatible LLM server (e.g. llama.cpp, Ollama)

Setup

# 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:

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