langchain/libs/community/langchain_community/document_transformers/html2text.py
Bagatur ed58eeb9c5
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
2023-12-11 13:53:30 -08:00

57 lines
1.8 KiB
Python

from typing import Any, Sequence
from langchain_core.documents import BaseDocumentTransformer, Document
class Html2TextTransformer(BaseDocumentTransformer):
"""Replace occurrences of a particular search pattern with a replacement string
Arguments:
ignore_links: Whether links should be ignored; defaults to True.
ignore_images: Whether images should be ignored; defaults to True.
Example:
.. code-block:: python
from langchain_community.document_transformers import Html2TextTransformer
html2text = Html2TextTransformer()
docs_transform = html2text.transform_documents(docs)
"""
def __init__(self, ignore_links: bool = True, ignore_images: bool = True) -> None:
self.ignore_links = ignore_links
self.ignore_images = ignore_images
def transform_documents(
self,
documents: Sequence[Document],
**kwargs: Any,
) -> Sequence[Document]:
try:
import html2text
except ImportError:
raise ImportError(
"""html2text package not found, please
install it with `pip install html2text`"""
)
# Create a html2text.HTML2Text object and override some properties
h = html2text.HTML2Text()
h.ignore_links = self.ignore_links
h.ignore_images = self.ignore_images
new_documents = []
for d in documents:
new_document = Document(
page_content=h.handle(d.page_content), metadata={**d.metadata}
)
new_documents.append(new_document)
return new_documents
async def atransform_documents(
self,
documents: Sequence[Document],
**kwargs: Any,
) -> Sequence[Document]:
raise NotImplementedError