llama-index-readers-confluence 0.1.4

llama-index readers confluence integration

Confluence Loader

pip install llama-index-readers-confluence

This loader loads pages from a given Confluence cloud instance. The user needs to specify the base URL for a Confluence instance to initialize the ConfluenceReader - base URL needs to end with /wiki. The user can optionally specify OAuth 2.0 credentials to authenticate with the Confluence instance. If no credentials are specified, the loader will look for CONFLUENCE_API_TOKEN or CONFLUENCE_USERNAME/CONFLUENCE_PASSWORD environment variables to proceed with basic authentication. Keep in mind CONFLUENCE_PASSWORD is not your actual password, but an API Token obtained here: https://id.atlassian.com/manage-profile/security/api-tokens.

For more on authenticating using OAuth 2.0, checkout:

• https://atlassian-python-api.readthedocs.io/index.html
• https://developer.atlassian.com/cloud/confluence/oauth-2-3lo-apps/

Confluence pages are obtained through one of 4 four mutually exclusive ways:

1. page_ids: Load all pages from a list of page ids
2. space_key: Load all pages from a space
3. label: Load all pages with a given label
4. cql: Load all pages that match a given CQL query (Confluence Query Language https://developer.atlassian.com/cloud/confluence/advanced-searching-using-cql/ ).

When page_ids is specified, include_children will cause the loader to also load all descendent pages. When space_key is specified, page_status further specifies the status of pages to load: None, 'current', 'archived', 'draft'.

limit (int): Deprecated, use max_num_results instead.

max_num_results (int): Maximum number of results to return. If None, return all results. Requests are made in batches to achieve the desired number of results.

start(int): Which offset we should jump to when getting pages, only works with space_key

cursor(str): An alternative to start for cql queries, the cursor is a pointer to the next "page" when searching atlassian products. The current one after a search can be found with get_next_cursor()

User can also specify a boolean include_attachments to include attachments, this is set to False by default, if set to True all attachments will be downloaded and ConfluenceReader will extract the text from the attachments and add it to the Document object. Currently supported attachment types are: PDF, PNG, JPEG/JPG, SVG, Word and Excel.

Hint: space_key and page_id can both be found in the URL of a page in Confluence - https://yoursite.atlassian.com/wiki/spaces/<space_key>/pages/<page_id>

Usage

Here's an example usage of the ConfluenceReader.

# Example that reads the pages with the `page_ids`
from llama_index.readers.confluence import ConfluenceReader

token = {"access_token": "<access_token>", "token_type": "<token_type>"}
oauth2_dict = {"client_id": "<client_id>", "token": token}

base_url = "https://yoursite.atlassian.com/wiki"

page_ids = ["<page_id_1>", "<page_id_2>", "<page_id_3"]
space_key = "<space_key>"

reader = ConfluenceReader(base_url=base_url, oauth2=oauth2_dict)
documents = reader.load_data(
    space_key=space_key, include_attachments=True, page_status="current"
)
documents.extend(
    reader.load_data(
        page_ids=page_ids, include_children=True, include_attachments=True
    )
)

# Example that fetches the first 5, then the next 5 pages from a space
from llama_index.readers.confluence import ConfluenceReader

token = {"access_token": "<access_token>", "token_type": "<token_type>"}
oauth2_dict = {"client_id": "<client_id>", "token": token}

base_url = "https://yoursite.atlassian.com/wiki"

space_key = "<space_key>"

reader = ConfluenceReader(base_url=base_url, oauth2=oauth2_dict)
documents = reader.load_data(
    space_key=space_key,
    include_attachments=True,
    page_status="current",
    start=0,
    max_num_results=5,
)
documents.extend(
    reader.load_data(
        space_key=space_key,
        include_children=True,
        include_attachments=True,
        start=5,
        max_num_results=5,
    )
)

# Example that fetches the first 5 results froma cql query, the uses the cursor to pick up on the next element
from llama_index.readers.confluence import ConfluenceReader

token = {"access_token": "<access_token>", "token_type": "<token_type>"}
oauth2_dict = {"client_id": "<client_id>", "token": token}

base_url = "https://yoursite.atlassian.com/wiki"

cql = f'type="page" AND label="devops"'

reader = ConfluenceReader(base_url=base_url, oauth2=oauth2_dict)
documents = reader.load_data(cql=cql, max_num_results=5)
cursor = reader.get_next_cursor()
documents.extend(reader.load_data(cql=cql, cursor=cursor, max_num_results=5))

This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent. See here for examples.