Using the CData ODBC Driver for Teamgate in PyCharm

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Connect to Teamgate as an ODBC data source in PyCharm using the CData ODBC Driver for Teamgate.

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 Teamgate 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 Teamgate 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 Teamgate

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 Teamgate Profile on disk (e.g. C:\profiles\Teamgate.apip). Next, set the ProfileSettings connection property to the connection string for Teamgate (see below).

Teamgate API Profile Settings

To obtain your API Key, log into Teamgate and navigate to Settings > Additional Features > External Apps > New API Key Request. For your Auth Token, go to My Profile > Integrations > API Access > Auth Token.

Below is the syntax for a DSN:

[CData API Source]
Driver = CData ODBC Driver for Teamgate
Description = My Description
Profile = C:\profiles\Teamgate.apip
ProfileSettings = 'APIKey = your_api_key
AuthToken = your_auth_token'

Execute SQL to Teamgate

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\Teamgate.apip;ProfileSettings = 'APIKey = your_api_key;AuthToken = your_auth_token';')
cursor = cnxn.cursor()
cursor.execute("SELECT Id, Status FROM Activities WHERE Status = 'Completed'")
rows = cursor.fetchall()
for row in rows:
  print(row.Id, row.Status)

After connecting to Teamgate in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Teamgate 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].

Ready to get started?

Connect to live data from Teamgate with the API Driver

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