langchain_community.document_loaders.confluence
.ConfluenceLoader¶
- class langchain_community.document_loaders.confluence.ConfluenceLoader(url: str, api_key: Optional[str] = None, username: Optional[str] = None, session: Optional[Session] = None, oauth2: Optional[dict] = None, token: Optional[str] = None, cloud: Optional[bool] = True, number_of_retries: Optional[int] = 3, min_retry_seconds: Optional[int] = 2, max_retry_seconds: Optional[int] = 10, confluence_kwargs: Optional[dict] = None)[source]¶
Load Confluence pages.
Port of https://llamahub.ai/l/confluence This currently supports username/api_key, Oauth2 login or personal access token authentication.
Specify a list page_ids and/or space_key to load in the corresponding pages into Document objects, if both are specified the union of both sets will be returned.
You 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.
Confluence API supports difference format of page content. The storage format is the raw XML representation for storage. The view format is the HTML representation for viewing with macros are rendered as though it is viewed by users. You can pass a enum content_format argument to load() to specify the content format, this is set to ContentFormat.STORAGE by default, the supported values are: ContentFormat.EDITOR, ContentFormat.EXPORT_VIEW, ContentFormat.ANONYMOUS_EXPORT_VIEW, ContentFormat.STORAGE, and ContentFormat.VIEW.
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>
Example
from langchain_community.document_loaders import ConfluenceLoader loader = ConfluenceLoader( url="https://yoursite.atlassian.com/wiki", username="me", api_key="12345" ) documents = loader.load(space_key="SPACE",limit=50) # Server on perm loader = ConfluenceLoader( url="https://confluence.yoursite.com/", username="me", api_key="your_password", cloud=False ) documents = loader.load(space_key="SPACE",limit=50)
- Parameters
url (str) – _description_
api_key (str, optional) – _description_, defaults to None
username (str, optional) – _description_, defaults to None
oauth2 (dict, optional) – _description_, defaults to {}
token (str, optional) – _description_, defaults to None
cloud (bool, optional) – _description_, defaults to True
number_of_retries (Optional[int], optional) – How many times to retry, defaults to 3
min_retry_seconds (Optional[int], optional) – defaults to 2
max_retry_seconds (Optional[int], optional) – defaults to 10
confluence_kwargs (dict, optional) – additional kwargs to initialize confluence with
- Raises
ValueError – Errors while validating input
ImportError – Required dependencies not installed.
Methods
__init__
(url[, api_key, username, session, ...])is_public_page
(page)Check if a page is publicly accessible.
A lazy loader for Documents.
load
([space_key, page_ids, label, cql, ...])- param space_key
Space key retrieved from a confluence URL, defaults to None
load_and_split
([text_splitter])Load Documents and split into chunks.
paginate_request
(retrieval_method, **kwargs)Paginate the various methods to retrieve groups of pages.
process_attachment
(page_id[, ocr_languages])process_doc
(link)process_image
(link[, ocr_languages])process_page
(page, include_attachments, ...)process_pages
(pages, ...[, ocr_languages, ...])Process a list of pages into a list of documents.
process_pdf
(link[, ocr_languages])process_svg
(link[, ocr_languages])process_xls
(link)validate_init_args
([url, api_key, username, ...])Validates proper combinations of init arguments
- __init__(url: str, api_key: Optional[str] = None, username: Optional[str] = None, session: Optional[Session] = None, oauth2: Optional[dict] = None, token: Optional[str] = None, cloud: Optional[bool] = True, number_of_retries: Optional[int] = 3, min_retry_seconds: Optional[int] = 2, max_retry_seconds: Optional[int] = 10, confluence_kwargs: Optional[dict] = None)[source]¶
- load(space_key: Optional[str] = None, page_ids: Optional[List[str]] = None, label: Optional[str] = None, cql: Optional[str] = None, include_restricted_content: bool = False, include_archived_content: bool = False, include_attachments: bool = False, include_comments: bool = False, content_format: ContentFormat = ContentFormat.STORAGE, limit: Optional[int] = 50, max_pages: Optional[int] = 1000, ocr_languages: Optional[str] = None, keep_markdown_format: bool = False, keep_newlines: bool = False) List[Document] [source]¶
- Parameters
space_key (Optional[str], optional) – Space key retrieved from a confluence URL, defaults to None
page_ids (Optional[List[str]], optional) – List of specific page IDs to load, defaults to None
label (Optional[str], optional) – Get all pages with this label, defaults to None
cql (Optional[str], optional) – CQL Expression, defaults to None
include_restricted_content (bool, optional) – defaults to False
include_archived_content (bool, optional) – Whether to include archived content, defaults to False
include_attachments (bool, optional) – defaults to False
include_comments (bool, optional) – defaults to False
content_format (ContentFormat) – Specify content format, defaults to ContentFormat.STORAGE, the supported values are: ContentFormat.EDITOR, ContentFormat.EXPORT_VIEW, ContentFormat.ANONYMOUS_EXPORT_VIEW, ContentFormat.STORAGE, and ContentFormat.VIEW.
limit (int, optional) – Maximum number of pages to retrieve per request, defaults to 50
max_pages (int, optional) – Maximum number of pages to retrieve in total, defaults 1000
ocr_languages (str, optional) – The languages to use for the Tesseract agent. To use a language, you’ll first need to install the appropriate Tesseract language pack.
keep_markdown_format (bool) – Whether to keep the markdown format, defaults to False
keep_newlines (bool) – Whether to keep the newlines format, defaults to False
- Raises
ValueError – _description_
ImportError – _description_
- Returns
_description_
- Return type
List[Document]
- load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document] ¶
Load Documents and split into chunks. Chunks are returned as Documents.
- Parameters
text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns
List of Documents.
- paginate_request(retrieval_method: Callable, **kwargs: Any) List [source]¶
Paginate the various methods to retrieve groups of pages.
Unfortunately, due to page size, sometimes the Confluence API doesn’t match the limit value. If limit is >100 confluence seems to cap the response to 100. Also, due to the Atlassian Python package, we don’t get the “next” values from the “_links” key because they only return the value from the result key. So here, the pagination starts from 0 and goes until the max_pages, getting the limit number of pages with each request. We have to manually check if there are more docs based on the length of the returned list of pages, rather than just checking for the presence of a next key in the response like this page would have you do: https://developer.atlassian.com/server/confluence/pagination-in-the-rest-api/
- Parameters
retrieval_method (callable) – Function used to retrieve docs
- Returns
List of documents
- Return type
List
- process_page(page: dict, include_attachments: bool, include_comments: bool, content_format: ContentFormat, ocr_languages: Optional[str] = None, keep_markdown_format: Optional[bool] = False, keep_newlines: bool = False) Document [source]¶
- process_pages(pages: List[dict], include_restricted_content: bool, include_attachments: bool, include_comments: bool, content_format: ContentFormat, ocr_languages: Optional[str] = None, keep_markdown_format: Optional[bool] = False, keep_newlines: bool = False) List[Document] [source]¶
Process a list of pages into a list of documents.