Using the CData ODBC Driver for Tanda 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 Tanda 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 Tanda 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 Tanda
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 Tanda Profile on disk (e.g. C:\profiles\Tanda.apip). Next, set the ProfileSettings connection property to the connection string for Tanda (see below).
Tanda API Profile Settings
Register an OAuth application at the Tanda applications page by clicking New App and entering your app name and redirect URI.
Below is the syntax for a DSN:
[CData API Source] Driver = CData ODBC Driver for Tanda Description = My Description Profile = C:\profiles\Tanda.apip Authscheme = OAuth OAuthClientId = your_client_id OAuthClientSecret = your_client_secret CallbackUrl = your_callback_url
Execute SQL to Tanda
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\Tanda.apip;Authscheme = OAuth;OAuthClientId = your_client_id;OAuthClientSecret = your_client_secret;CallbackUrl = your_callback_url;')
cursor = cnxn.cursor()
cursor.execute("SELECT ShiftId, UserId FROM ActiveShifts WHERE Status = 'clocked_in'")
rows = cursor.fetchall()
for row in rows:
print(row.ShiftId, row.UserId)
After connecting to Tanda in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Tanda 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].