Using the CData ODBC Driver for Strava in PyCharm

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Strava from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Strava as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

1. Click File -> Settings to open the project settings window.
2. Click Project Interpreter from the Project: YourProjectName menu.
3. To add pyodbc, click the + button and enter pyodbc.
4. Click Install Package to install pyodbc.

Connect to Strava

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

To authenticate to Strava, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.

Using OAuth Authentication

You must create a custom OAuth application to connect to Strava. To create a custom OAuth application:

1. Log into the Strava API Settings page
2. Create a new application or select an existing application
3. Set the "Authorization Callback Domain" to your callback URL domain (e.g. localhost)
4. Note down the Client ID and Client Secret

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientId: Set this to the Client ID from your Strava API application.
• OAuthClientSecret: Set this to the Client Secret from your Strava API application.
• CallbackURL: Set this to the redirect URI matching your application's callback domain.

Example connection string:

Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;

Below is the syntax for a DSN:

[CData API Source]
Driver = CData ODBC Driver for Strava
Description = My Description
Profile = C:\profiles\Strava.apip
AuthScheme = OAuth
InitiateOAuth = GETANDREFRESH
OAuthClientId = your_client_id
OAuthClientSecret = your_client_secret
CallbackURL = http://localhost:33333

Execute SQL to Strava

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc

cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for API};Profile = C:\profiles\Strava.apip;AuthScheme = OAuth;InitiateOAuth = GETANDREFRESH;OAuthClientId = your_client_id;OAuthClientSecret = your_client_secret;CallbackURL = http://localhost:33333;')
cursor = cnxn.cursor()
cursor.execute("SELECT ,  FROM Athlete WHERE  = ''")
rows = cursor.fetchall()
for row in rows:
  print(row., row.)

After connecting to Strava in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Strava data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].