Project: stravalib

A Python package that makes it easy to access and download data from the Strava V3 REST API.

Project Details

Latest version
1.5
Home Page
PyPI Page
https://pypi.org/project/stravalib/

Project Popularity

PageRank
0.004576362453922774
Number of downloads
40995

Welcome to stravalib

DOI PyPI PyPI - Python Version Documentation Status Package Tests Status PyPI - Downloads codecov

The stravalib Python package provides easy-to-use tools for accessing and downloading Strava data from the Strava V3 web service. Stravalib provides a Client class that supports:

  • Authenticating with stravalib
  • Accessing and downloading Strava activity, club and profile data
  • Making changes to account activities

It also provides support for working with date/time/temporal attributes and quantities through the Python Pint library.

Dependencies

  • Python 3.9+
  • Setuptools for installing dependencies
  • Other Python libraries (installed automatically when using pip): requests, pytz, pint, arrow, pydantic

Installation

The package is available on PyPI to be installed using pip:

pip install stravalib

How to Contribute to Stravalib

Get Started!

Ready to contribute? Here's how to set up Stravalib for local development.

  1. Fork the repository on GitHub

To create your own copy of the repository on GitHub, navigate to the stravalib/stravalib <https://github.com/stravalib/stravalib>_ repository and click the Fork button in the top-right corner of the page.

  1. Clone your fork locally

Use git clone to get a local copy of your stravalib repository on your local filesystem::

$ git clone git@github.com:your_name_here/stravalib.git
$ cd stravalib/
  1. Set up your fork for local development

The docs for this library are created using sphinx. To build the html version of the documentation, use the command:

$ make -C docs html

Building from sources

To build the project locally in editable mode, access the project root directory and run:

$ pip install -e .

To execute unit - or integration tests you will need to run

$ make test

Local Tests

To run end-to-end tests you will need to rename test.ini-example (which you can find /stravalib/tests/) to test.ini In test.ini provide your access_token and activity_id. Now you can run

shell$ pytest stravalib/tests/functional

Pull Requests and tests

Please add tests that cover your changes, these will greatly reduce the effort of reviewing and merging your Pull Requests. In case you need it, there's a pytest fixture mock_strava_api that is based on RequestsMock from the responses package. It prevents requests being made to the actual Strava API and instead registers responses that are based on examples from the published Strava API documentation. Example usages of this fixture can be found in the stravalib.tests.integration package.

Basic Usage

Please take a look at the source (in particular the stravalib.client.Client class, if you'd like to play around with the API. Most of the Strava API is implemented at this point; however, certain features such as streams are still on the to-do list.

Authentication

In order to make use of this library, you will need to create an app in Strava which is free to do. Have a look at this tutorial for instructions on creating an app with Strava - we will be updating our docs with this information soon.

NOTE We will be updating our documentation with clear instructions to support this in the upcoming months

Once you have created your app, stravalib have several helper methods to make authentication easier.

from stravalib.client import Client

client = Client()
authorize_url = client.authorization_url(
    client_id=1234, redirect_uri="http://localhost:8282/authorized"
)
# Have the user click the authorization URL, a 'code' param will be added to the redirect_uri
# .....

# Extract the code from your webapp response
code = requests.get("code")  # or whatever your framework does
token_response = client.exchange_code_for_token(
    client_id=1234, client_secret="asdf1234", code=code
)
access_token = token_response["access_token"]
refresh_token = token_response["refresh_token"]
expires_at = token_response["expires_at"]

# Now store that short-lived access token somewhere (a database?)
client.access_token = access_token
# You must also store the refresh token to be used later on to obtain another valid access token
# in case the current is already expired
client.refresh_token = refresh_token

# An access_token is only valid for 6 hours, store expires_at somewhere and
# check it before making an API call.
client.token_expires_at = expires_at

athlete = client.get_athlete()
print(
    "For {id}, I now have an access token {token}".format(
        id=athlete.id, token=access_token
    )
)

# ... time passes ...
if time.time() > client.token_expires_at:
    refresh_response = client.refresh_access_token(
        client_id=1234, client_secret="asdf1234", refresh_token=client.refresh_token
    )
    access_token = refresh_response["access_token"]
    refresh_token = refresh_response["refresh_token"]
    expires_at = refresh_response["expires_at"]

Athletes and Activities

(This is a glimpse into what you can do.)

# Currently-authenticated (based on provided token) athlete
# Will have maximum detail exposed (resource_state=3)
curr_athlete = client.get_athlete()

# Fetch another athlete
other_athlete = client.get_athlete(123)
# Will only have summary-level attributes exposed (resource_state=2)

# Get an activity
activity = client.get_activity(123)
# If activity is owned by current user, will have full detail (resource_state=3)
# otherwise summary-level detail.

Streams

Streams represent the raw data of the uploaded file. Activities, efforts, and segments all have streams. There are many types of streams, if activity does not have requested stream type, returned set simply won't include it.

# Activities can have many streams, you can request n desired stream types
types = [
    "time",
    "latlng",
    "altitude",
    "heartrate",
    "temp",
]

streams = client.get_activity_streams(123, types=types, resolution="medium")

#  Result is a dictionary object.  The dict's key are the stream type.
if "altitude" in streams.keys():
    print(streams["altitude"].data)

Working with Units

stravalib uses the python Pint library to facilitate working with the values in the API that have associated units (e.g. distance, speed). You can use the pint library directly or through the stravalib.unithelper module for shortcuts

activity = client.get_activity(96089609)
assert isinstance(activity.distance, unithelper.Quantity)
print(activity.distance)
# 22530.80 m

# Meters!?

from stravalib import unithelper

print(unithelper.miles(activity.distance))
# 14.00 mi

# And to get the number:
num_value = float(unithelper.miles(activity.distance))
# Or:
num_value = unithelper.miles(activity.distance).num

Still reading?

The published sphinx documentation provides much more.