Confluence

This documentation describes the integration of MindsDB with Confluence, a popular collaboration and documentation tool developed by Atlassian. The integration allows MindsDB to access data from Confluence and enhance it with AI capabilities.

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Prerequisites

Before proceeding, ensure the following prerequisites are met:

1. Install MindsDB locally via Docker or Docker Desktop.

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Connection

Establish a connection to Confluence from MindsDB by executing the following SQL command and providing its handler name as an engine.

CREATE DATABASE confluence_datasource
WITH
    ENGINE = 'confluence',
    PARAMETERS = {
        "api_base": "https://example.atlassian.net",
        "username": "john.doe@example.com",
        "password": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6"
    };

Required connection parameters include the following:

• api_base: The base URL for your Confluence instance/server.
• username: The email address associated with your Confluence account.
• password: The API token generated for your Confluence account.

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Usage

Retrieve data from a specified table by providing the integration and table names:

SELECT *
FROM confluence_datasource.table_name
LIMIT 10;

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Supported Tables

• spaces: The table containing information about the spaces in Confluence.
• pages: The table containing information about the pages in Confluence.
• blogposts: The table containing information about the blog posts in Confluence.
• whiteboards: The table containing information about the whiteboards in Confluence.
• databases: The table containing information about the databases in Confluence.
• tasks: The table containing information about the tasks in Confluence.