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community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
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libs/community/langchain_community/document_loaders/excel.py
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libs/community/langchain_community/document_loaders/excel.py
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"""Loads Microsoft Excel files."""
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from typing import Any, List
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from langchain_community.document_loaders.unstructured import (
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UnstructuredFileLoader,
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validate_unstructured_version,
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)
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class UnstructuredExcelLoader(UnstructuredFileLoader):
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"""Load Microsoft Excel files using `Unstructured`.
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Like other
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Unstructured loaders, UnstructuredExcelLoader can be used in both
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"single" and "elements" mode. If you use the loader in "elements"
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mode, each sheet in the Excel file will be a an Unstructured Table
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element. If you use the loader in "elements" mode, an
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HTML representation of the table will be available in the
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"text_as_html" key in the document metadata.
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Examples
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--------
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from langchain_community.document_loaders.excel import UnstructuredExcelLoader
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loader = UnstructuredExcelLoader("stanley-cups.xlsd", mode="elements")
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docs = loader.load()
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"""
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def __init__(
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self, file_path: str, mode: str = "single", **unstructured_kwargs: Any
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):
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"""
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Args:
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file_path: The path to the Microsoft Excel file.
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mode: The mode to use when partitioning the file. See unstructured docs
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for more info. Optional. Defaults to "single".
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**unstructured_kwargs: Keyword arguments to pass to unstructured.
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"""
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validate_unstructured_version(min_unstructured_version="0.6.7")
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super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
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def _get_elements(self) -> List:
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from unstructured.partition.xlsx import partition_xlsx
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return partition_xlsx(filename=self.file_path, **self.unstructured_kwargs)
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