Using the CData ODBC Driver for Intercom 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 Intercom 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 Intercom 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 Intercom
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.
Start by setting the Profile connection property to the location of the Intercom Profile on disk (e.g. C:\profiles\Intercom.apip). Next, set the ProfileSettings connection property to the connection string for Intercom (see below).
Intercom API Profile Settings
In the Intercom Developer Hub, go to Configure > Authentication and select your workspace to obtain an Access Token. For OAuth, register an app and retrieve the Client ID and Secret from the app's Basic Information page.
Below is the syntax for a DSN:
[CData API Source] Driver = CData ODBC Driver for Intercom Description = My Description Profile = C:\profiles\Intercom.apip ProfileSettings = 'APIKey = your_access_token'
Execute SQL to Intercom
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\Intercom.apip;ProfileSettings = 'APIKey = your_access_token';')
cursor = cnxn.cursor()
cursor.execute("SELECT Id, Type FROM Admins WHERE Email = '[email protected]'")
rows = cursor.fetchall()
for row in rows:
print(row.Id, row.Type)
After connecting to Intercom in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Intercom 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].