langchain/libs/community/langchain_community/document_loaders/mhtml.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

77 lines
2.5 KiB
Python

import email
import logging
from typing import Dict, List, Union
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class MHTMLLoader(BaseLoader):
"""Parse `MHTML` files with `BeautifulSoup`."""
def __init__(
self,
file_path: str,
open_encoding: Union[str, None] = None,
bs_kwargs: Union[dict, None] = None,
get_text_separator: str = "",
) -> None:
"""Initialise with path, and optionally, file encoding to use, and any kwargs
to pass to the BeautifulSoup object.
Args:
file_path: Path to file to load.
open_encoding: The encoding to use when opening the file.
bs_kwargs: Any kwargs to pass to the BeautifulSoup object.
get_text_separator: The separator to use when getting the text
from the soup.
"""
try:
import bs4 # noqa:F401
except ImportError:
raise ImportError(
"beautifulsoup4 package not found, please install it with "
"`pip install beautifulsoup4`"
)
self.file_path = file_path
self.open_encoding = open_encoding
if bs_kwargs is None:
bs_kwargs = {"features": "lxml"}
self.bs_kwargs = bs_kwargs
self.get_text_separator = get_text_separator
def load(self) -> List[Document]:
from bs4 import BeautifulSoup
"""Load MHTML document into document objects."""
with open(self.file_path, "r", encoding=self.open_encoding) as f:
message = email.message_from_string(f.read())
parts = message.get_payload()
if not isinstance(parts, list):
parts = [message]
for part in parts:
if part.get_content_type() == "text/html":
html = part.get_payload(decode=True).decode()
soup = BeautifulSoup(html, **self.bs_kwargs)
text = soup.get_text(self.get_text_separator)
if soup.title:
title = str(soup.title.string)
else:
title = ""
metadata: Dict[str, Union[str, None]] = {
"source": self.file_path,
"title": title,
}
return [Document(page_content=text, metadata=metadata)]
return []