Gears testing

This repo contains a codebase that extracts activities from Strava and uploads data into a Google Spreadsheets that looks like this:

+-----------+---------------+-------------------+--------------------+---------------------+----------------------+------------+---------------+-----------------+
|   Name    | Distance (km) | Moving time (min) | Elapsed time (min) | Total elevation (m) |      Start date      |     ID     | Average speed | Average cadence |
+-----------+---------------+-------------------+--------------------+---------------------+----------------------+------------+---------------+-----------------+
| Lunch Run |         13,67 |             74,18 |              77,23 |               132,9 | 2023-03-26T11:12:18Z | 8779455702 |         11,06 |           166,4 |
+-----------+---------------+-------------------+--------------------+---------------------+----------------------+------------+---------------+-----------------+

Here's how to get the needed credentials.

Google spreadsheet

To use the code, you need to create a project in Google Cloud. You'll then need to generate an OAuth 2.0 client ID for a desktop application.
Download the json file containing the credentials and put it into the sheet directory.
You'll also need to create a spreadsheet and to put the ID (that can be found in the URL) in retrieve_data.py.

Strava

Create a Strava app and create a credentials.json file in the strava directory containing the following data:

{
    "client_id": CLIENT_ID,
    "auth_uri": "https://www.strava.com/oauth/authorize/",
    "token_uri": "https://www.strava.com/oauth/token",
    "client_secret": CLIENT_SECRET,
    "redirect_uris":
    [
        "http://localhost"
    ]
}

The first you run the code, this will open a prompt asking you to accept some stuff. Your refresh token will be saved until it expires, at which point the prompt will open again and so on.