NgnVdZddlmZddlmZmZmZddlmZm Z GddeZ dS)zLoads rich text files.)Path)AnyListUnion)UnstructuredFileLoader"satisfies_min_unstructured_versioncPeZdZdZ d deeefdedeffd Zde fdZ xZ S) UnstructuredRTFLoaderaLoad `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 single file_pathmodeunstructured_kwargsc d}t|std|dtjd||d|dS)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. z0.5.12z:Partitioning rtf files is only supported in unstructured>=.)r r N)r ValueErrorsuper__init__)selfr r rmin_unstructured_version __class__s d/var/www/html/ai-engine/env/lib/python3.11/site-packages/langchain_community/document_loaders/rtf.pyrzUnstructuredRTFLoader.__init__$sr $, 12JKK =!9===  O94OO;NOOOOOreturnc6ddlm}|dd|ji|jS)Nr) partition_rtffilenamer)unstructured.partition.rtfrr r)rrs r _get_elementsz#UnstructuredRTFLoader._get_elements=s4<<<<<<}QQdnQ8PQQQr)r ) __name__ __module__ __qualname____doc__rstrrrrrr __classcell__)rs@rr r s4PPd#PP # PPPPPP2RtRRRRRRRRrr N) r#pathlibrtypingrrr1langchain_community.document_loaders.unstructuredrrr rrrr)s########## 4R4R4R4R4R24R4R4R4R4Rr