a bŠÝgšã@sHdZddlmZddlmZmZmZddlmZm Z Gdd„deƒZ dS)zLoads rich text files.é)ÚPath)ÚAnyÚListÚUnion)ÚUnstructuredFileLoaderÚvalidate_unstructured_versioncsBeZdZdZd eeefeedœ‡fdd„ Ze dœdd„Z ‡Z S) ÚUnstructuredRTFLoaderaLoad `RTF` files using `Unstructured`. You can run the loader in one of two modes: "single" and "elements". If you use "single" mode, the document will be returned as a single langchain Document object. If you use "elements" mode, the unstructured library will split the document into elements such as Title and NarrativeText. You can pass in additional unstructured kwargs after mode to apply different unstructured settings. Examples -------- from langchain_community.document_loaders import UnstructuredRTFLoader loader = UnstructuredRTFLoader( "example.rtf", mode="elements", strategy="fast", ) docs = loader.load() References ---------- https://unstructured-io.github.io/unstructured/bricks.html#partition-rtf Úsingle)Ú file_pathÚmodeÚunstructured_kwargsc s,t|ƒ}tdƒtƒjf||dœ|¤ŽdS)aS Initialize with a file path. Args: file_path: The path to the file to load. mode: The mode to use for partitioning. See unstructured for details. Defaults to "single". **unstructured_kwargs: Additional keyword arguments to pass to unstructured. z0.5.12)r r N)ÚstrrÚsuperÚ__init__)Úselfr r r ©Ú __class__©úv/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/langchain_community/document_loaders/rtf.pyr$szUnstructuredRTFLoader.__init__)ÚreturncCs"ddlm}|fd|ji|j¤ŽS)Nr)Ú partition_rtfÚfilename)Zunstructured.partition.rtfrr r )rrrrrÚ _get_elements8s z#UnstructuredRTFLoader._get_elements)r ) Ú__name__Ú __module__Ú __qualname__Ú__doc__rr rrrrrÚ __classcell__rrrrr sý ürN) rÚpathlibrÚtypingrrrZ1langchain_community.document_loaders.unstructuredrrrrrrrÚs