{
    "info": {
        "author": "Maksym Sladkov",
        "author_email": "sladkovm@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering"
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        "description": "\n# stravaio\nPython client for Strava API with a focus on fluent data handling\n\n[![PyPI version](https://badge.fury.io/py/stravaio.svg)](https://badge.fury.io/py/stravaio)\n[![Build Status](https://travis-ci.org/sladkovm/stravaio.svg?branch=master)](https://travis-ci.org/sladkovm/stravaio)\n\n## Example\n\nBuild your own *Year in Strava* poster [Jupyter notebook](https://github.com/sladkovm/stravaio/blob/master/examples/Year%20in%20Strava%202018.ipynb)\n\n## Install\n```bash\npipenv install stravaio\n```\n\nor\n\n```bash\npip install stravaio\n```\n\nLatest dev version could be installed as:\n```bash\npipenv install git+https://github.com/sladkovm/stravaio.git#egg=stravaio\n```\n\n## Before use\nYou need `STRAVA_ACCESS_TOKEN` with activity level permissions to make use of this package. \n\nThe easiest way to get the token is to use the *stravaio* library itself:\n\n```python\nfrom stravaio import strava_oauth2\n\nstrava_oauth2(client_id=STRAVA_CLIENT_ID, client_secret=STRAVA_CLIENT_SECRET)\n```\n\nYou will be redirected to the default system browser, where the authorization flow must be completed. In the background the local webserver will be running and listening to the data returned by Strava.\n\nBoth `STRAVA_CLIENT_ID` and `STRAVA_CLIENT_SECRET` are optional arguments if they are set as the environment variables.\n\nAnother way is to head to the [strava-oauth](https://github.com/sladkovm/strava-oauth) library for help. There you will find a link to the public webserver that can be used for completing the Strava authorizatio flow.\n\nWhen the token is fetched it is handy to store it as an environment variable. Otherwise it should be passed explicitely to the StravaIO constructor.\n\n```bash\nexport STRAVA_ACCESS_TOKEN=<strava_access_token>\n```\n\n## Use\n\n```python\nfrom stravaio import StravaIO\n\n# If the token is stored as an environment varible it is not neccessary\n# to pass it as an input parameters\nclient = StravaIO(access_token=STRAVA_ACCESS_TOKEN)\n```\n\n### Athlete\n```python\n# Get logged in athlete (e.g. the owner of the token)\n# Returns a stravaio.Athlete object that wraps the\n# [Strava DetailedAthlete](https://developers.strava.com/docs/reference/#api-models-DetailedAthlete)\n# with few added data-handling methods\nathlete = client.get_logged_in_athlete()\n\n# Dump athlete into a JSON friendly dict (e.g. all datetimes are converted into iso8601)\nathlete_dict = athlete.to_dict()\n\n# Store athlete infor as a JSON locally (~/.stravadata/athlete_<id>.json)\nathlete.store_locally()\n\n# Get locally stored athletes (returns a generator of dicts)\nlocal_athletes = client.local_athletes()\n```\n\n\n\n### Activities\n```python\n# Returns a stravaio.Activity object that wraps the \n# [Strava DetailedActivity](https://developers.strava.com/docs/reference/#api-models-DetailedActivity)\nactivity = client.get_activity_by_id(2033203247)\n\n# Dump activity into a JSON friendly dict\nactivity_dict = activity.to_dict()\n\n# Store activity locally (~/.stravadata/activities_<athlete_id>/activity_<id>.json)\nactivity.store_locally()\n\n# Get list of athletes activities since a given date (after) given in a human friendly format.\n# Kudos to [Maya: Datetimes for Humans(TM)](https://github.com/kennethreitz/maya)\n# Returns a list of [Strava SummaryActivity](https://developers.strava.com/docs/reference/#api-models-SummaryActivity) objects\nlist_activities = client.get_logged_in_athlete_activities(after='last week')\n\n# Obvious use - store all activities locally\nfor a in list_activities:\n    activity = client.get_activity_by_id(a.id)\n    activity.store_locally()\n\n# List local activities (returns a generator of JSON friendly dicts)\nactivities = client.local_activitis(athlete_id=1202065)\n```\n\n### Streams\n```python\n# Returns a stravaio.Streams object that wraps the \n# [Strava StreamSet](https://developers.strava.com/docs/reference/#api-models-StreamSet)\nstreams = client.get_activity_streams(2033203247)\n\n# Access streams using the dot notation\nwatts = streams.watts\n\n# Dump streams into a JSON friendly dict\nstreams_dict = streams.to_dict()\n\n# Store streams locally (~/.stravadata/streams_<athlete_id>/streams_<id>.parquet) as a .parquet file, that can be loaded later using the\n# pandas.read_parquet()\nstreams.store_locally()\n\n```\n\n## Contributors\n\n[Aart Goossens](https://github.com/AartGoossens)\n\n\n",
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