Using the CData ODBC Driver for Webex 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 Webex 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 Webex as well as PyCharm.
Add Pyodbc to the Project
Follow the steps below to add the pyodbc module to your project.
- Click File -> Settings to open the project settings window.
- Click Project Interpreter from the Project: YourProjectName menu.
- To add pyodbc, click the + button and enter pyodbc.
- Click Install Package to install pyodbc.
Connect to Webex
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 Webex, 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
First, you will need to register an OAuth application with Webex. To do so, navigate to the Webex Developer Portal and create a new integration. Your OAuth application will be assigned a client id and a 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 that is specified in your app settings.
- OAuthClientSecret: Set this to the client_secret that is specified in your app settings.
- CallbackURL: Set this to the Redirect URI that is specified in your app settings.
- Scope: Set this in ProfileSettings to specify the OAuth scopes requested during authorization. Multiple scopes can be space-separated (e.g. ProfileSettings='Scope=spark:all spark:kms').
Example connection string:
Profile=C:\profiles\Webex.apip;Authscheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;ProfileSettings='Scope=your_scopes';
Below is the syntax for a DSN:
[CData API Source] Driver = CData ODBC Driver for Webex Description = My Description Profile = C:\profiles\Webex.apip Authscheme = OAuth InitiateOAuth = GETANDREFRESH OAuthClientId = your_client_id OAuthClientSecret = your_client_secret CallbackUrl = your_callback_url ProfileSettings = 'Scope = your_scopes'
Execute SQL to Webex
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\Webex.apip;Authscheme = OAuth;InitiateOAuth = GETANDREFRESH;OAuthClientId = your_client_id;OAuthClientSecret = your_client_secret;CallbackUrl = your_callback_url;ProfileSettings = 'Scope = your_scopes';')
cursor = cnxn.cursor()
cursor.execute("SELECT , FROM AdminAuditEvents WHERE OrgId = 'org123'")
rows = cursor.fetchall()
for row in rows:
print(row., row.)
After connecting to Webex in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Webex 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].