mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +00:00
ed58eeb9c5
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
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
"""Loader that uses bs4 to load HTML files, enriching metadata with page title."""
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import logging
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from typing import Any, Dict, Iterator, Union
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseBlobParser
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from langchain_community.document_loaders.blob_loaders import Blob
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logger = logging.getLogger(__name__)
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class BS4HTMLParser(BaseBlobParser):
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"""Pparse HTML files using `Beautiful Soup`."""
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def __init__(
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self,
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*,
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features: str = "lxml",
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get_text_separator: str = "",
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**kwargs: Any,
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) -> None:
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"""Initialize a bs4 based HTML parser."""
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try:
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import bs4 # noqa:F401
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except ImportError:
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raise ImportError(
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"beautifulsoup4 package not found, please install it with "
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"`pip install beautifulsoup4`"
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)
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self.bs_kwargs = {"features": features, **kwargs}
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self.get_text_separator = get_text_separator
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def lazy_parse(self, blob: Blob) -> Iterator[Document]:
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"""Load HTML document into document objects."""
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from bs4 import BeautifulSoup
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with blob.as_bytes_io() as f:
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soup = BeautifulSoup(f, **self.bs_kwargs)
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text = soup.get_text(self.get_text_separator)
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if soup.title:
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title = str(soup.title.string)
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else:
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title = ""
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metadata: Dict[str, Union[str, None]] = {
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"source": blob.source,
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"title": title,
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}
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yield Document(page_content=text, metadata=metadata)
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