langchain_community.document_loaders.cube_semantic
.CubeSemanticLoader¶
- class langchain_community.document_loaders.cube_semantic.CubeSemanticLoader(cube_api_url: str, cube_api_token: str, load_dimension_values: bool = True, dimension_values_limit: int = 10000, dimension_values_max_retries: int = 10, dimension_values_retry_delay: int = 3)[source]¶
Load Cube semantic layer metadata.
- Parameters
cube_api_url (str) – REST API endpoint. Use the REST API of your Cube’s deployment. Please find out more information here: https://cube.dev/docs/http-api/rest#configuration-base-path
cube_api_token (str) – Cube API token. Authentication tokens are generated based on your Cube’s API secret. Please find out more information here: https://cube.dev/docs/security#generating-json-web-tokens-jwt
load_dimension_values (bool) – Whether to load dimension values for every string dimension or not.
dimension_values_limit (int) – Maximum number of dimension values to load.
dimension_values_max_retries (int) – Maximum number of retries to load dimension values.
dimension_values_retry_delay (int) – Delay between retries to load dimension values.
Methods
__init__
(cube_api_url, cube_api_token[, ...])A lazy loader for Documents.
Makes a call to Cube's REST API metadata endpoint.
load
()Load data into Document objects.
load_and_split
([text_splitter])Load Documents and split into chunks.
- __init__(cube_api_url: str, cube_api_token: str, load_dimension_values: bool = True, dimension_values_limit: int = 10000, dimension_values_max_retries: int = 10, dimension_values_retry_delay: int = 3)[source]¶
- Parameters
cube_api_url (str) –
cube_api_token (str) –
load_dimension_values (bool) –
dimension_values_limit (int) –
dimension_values_max_retries (int) –
dimension_values_retry_delay (int) –
- async alazy_load() AsyncIterator[Document] ¶
A lazy loader for Documents.
- Return type
AsyncIterator[Document]
- lazy_load() Iterator[Document] [source]¶
Makes a call to Cube’s REST API metadata endpoint.
- Returns
page_content=column_title + column_description
- metadata
table_name
column_name
column_data_type
column_member_type
column_title
column_description
column_values
cube_data_obj_type
- Return type
A list of documents with attributes
- load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document] ¶
Load Documents and split into chunks. Chunks are returned as Documents.
Do not override this method. It should be considered to be deprecated!
- Parameters
text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns
List of Documents.
- Return type
List[Document]