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PyCharm でCData ODBC Driver for Slack を使ってみた

Slack にODBC データソースとしてPyCharm から連携。

CData ODBC Drivers は、ODBC をサポートするあらゆる環境から利用可能です。 本記事では、PyCharm からのCData ODBC Driver for Slack の利用を説明します。ODBC Deriver をデータソースとして設定する方法、データソースをクエリするPyCharm のベーシックな方法を含みます。

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Slack as well as PyCharm.

Pyodbc をプロジェクトに追加

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.

Slack への接続

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.

Slack uses the OAuth authentication standard. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the Getting Started section of the help documentation for an authentication guide.

Below is the syntax for a DSN:

[CData Slack Source] Driver = CData ODBC Driver for Slack Description = My Description OAuthClientId = MyOAuthClientId OAuthClientSecret = MyOAuthClientSecret CallbackURL = http://localhost:33333

Slack へのクエリの実行

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 Slack};OAuthClientId = MyOAuthClientId;OAuthClientSecret = MyOAuthClientSecret;CallbackURL = http://localhost:33333;') cursor = cnxn.cursor() cursor.execute("SELECT Id, Name FROM Channels WHERE IsPublic = 'True'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Name)

After connecting to Slack in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Slack data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.

 
 
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