Sportgems finds valuable gems 💎 in your activities 🚴
Sportgems lets you efficiently parse your activity data. It will search and find your sections with either max velocity or max climb (see below). It will determine the start, end and speed of whatever desired sections you are interested in, e.g. 1km, 2km, 10km and others.
Sportgems is used in workoutizer to find your fastest 1km (and other 💎) in all your activities and visualize it. See for example this screenshot of an activity in workoutizer, with the fastest 3km section being highlighted in yellow:
Sportgems is written in rust and bundled in a python package using pyo3. Simply install it using pip:
pip install sportgems
In order to search for gems 💎 in your activity, pass a path and desired distance to e.g.
find_fastest_section_in_fit like:
from sportgems import find_fastest_section_in_fit
desired_distance = 1_000 # in meter
path_to_fit_file = "tests/data/2019-09-14-17-22-05.fit"
result = find_fastest_section_in_fit(desired_distance, path_to_fit_file)The result will be a python object with the following attributes:
print(f'Found fastest section, from {result.start=} to {result.end=} with {result.velocity=} m/s')which prints:
Found fastest section, from result.start=635 to result.end=725 with result.velocity=2.898669803146783 m/s
https://fgebhart.github.io/sportgems/changelog.html
In order to run the rust unit tests simply run
cargo test --no-default-features
To run the python tests, you first need to install the requirements
pip install -r requirements.txt
and build and install sportgems itself, by compiling it using
maturin build --interpreter python3.8 --compatibility manylinux2014 --skip-auditwheel
then installing the wheel with
pip install target/wheels/sportgems-*.whl
and subsequently run the tests
pytest tests/
Contributions are welcome!