Using the CData ODBC Driver for Canny 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 Canny 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 Canny 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 Canny

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

Canny API Profile Settings

Canny uses a secret API key to control access to the API. The API key is sent as a JSON body parameter named 'apiKey' in every HTTP POST request to the Canny API endpoints.

To authenticate with the Canny API, you need your company-level secret API key. You can find this key in your Canny account under Settings > API.

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

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Canny company-level secret API key from the Settings > API page in your Canny dashboard.

Below is the syntax for a DSN:

[CData API Source]
Driver = CData ODBC Driver for Canny
Description = My Description
Profile = C:\profiles\Canny.apip
ProfileSettings = 'APIKey = your-canny-api-key'

Execute SQL to Canny

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\Canny.apip;ProfileSettings = 'APIKey = your-canny-api-key';')
cursor = cnxn.cursor()
cursor.execute("SELECT Id, Name FROM Boards WHERE IsPrivate = 'false'")
rows = cursor.fetchall()
for row in rows:
  print(row.Id, row.Name)

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