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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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"""Load Documents from Docusarus Documentation"""
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from typing import Any, List, Optional
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from langchain_community.document_loaders.sitemap import SitemapLoader
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class DocusaurusLoader(SitemapLoader):
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"""
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Loader that leverages the SitemapLoader to loop through the generated pages of a
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Docusaurus Documentation website and extracts the content by looking for specific
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HTML tags. By default, the parser searches for the main content of the Docusaurus
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page, which is normally the <article>. You also have the option to define your own
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custom HTML tags by providing them as a list, for example: ["div", ".main", "a"].
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"""
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def __init__(
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self,
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url: str,
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custom_html_tags: Optional[List[str]] = None,
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**kwargs: Any,
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):
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"""
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Initialize DocusaurusLoader
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Args:
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url: The base URL of the Docusaurus website.
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custom_html_tags: Optional custom html tags to extract content from pages.
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kwargs: Additional args to extend the underlying SitemapLoader, for example:
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filter_urls, blocksize, meta_function, is_local, continue_on_failure
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"""
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if not kwargs.get("is_local"):
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url = f"{url}/sitemap.xml"
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self.custom_html_tags = custom_html_tags or ["main article"]
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super().__init__(
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url,
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parsing_function=kwargs.get("parsing_function") or self._parsing_function,
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**kwargs,
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)
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def _parsing_function(self, content: Any) -> str:
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"""Parses specific elements from a Docusarus page."""
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relevant_elements = content.select(",".join(self.custom_html_tags))
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for element in relevant_elements:
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if element not in relevant_elements:
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element.decompose()
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return str(content.get_text())
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