Using the CData ODBC Driver for Telegram 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 Telegram 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 Telegram 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 Telegram

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.

Using API Key Authentication

Telegram uses Bot Tokens to authenticate API requests. You can obtain a Bot Token by creating a bot via BotFather on Telegram (https://t.me/BotFather). Once created, BotFather will provide a token in the format

123456789:ABCdefGhIJKlmNoPQRsTUVwxyZ

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

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Telegram Bot Token obtained from BotFather.

Example connection string

Profile=C:\profiles\Telegram.apip;ProfileSettings='APIKey=your_bot_token';

Below is the syntax for a DSN:

[CData API Source]
Driver = CData ODBC Driver for Telegram
Description = My Description
Profile = C:\profiles\Telegram.apip
ProfileSettings = 'APIKey = your_bot_token'

Execute SQL to Telegram

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\Telegram.apip;ProfileSettings = 'APIKey = your_bot_token';')
cursor = cnxn.cursor()
cursor.execute("SELECT ,  FROM AvailableGifts WHERE  = ''")
rows = cursor.fetchall()
for row in rows:
  print(row., row.)

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