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
69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
from __future__ import annotations
|
|
|
|
from typing import Optional, Type
|
|
|
|
from langchain_core.callbacks import (
|
|
AsyncCallbackManagerForToolRun,
|
|
CallbackManagerForToolRun,
|
|
)
|
|
from langchain_core.pydantic_v1 import BaseModel, root_validator
|
|
|
|
from langchain_community.tools.playwright.base import BaseBrowserTool
|
|
from langchain_community.tools.playwright.utils import (
|
|
aget_current_page,
|
|
get_current_page,
|
|
)
|
|
|
|
|
|
class ExtractTextTool(BaseBrowserTool):
|
|
"""Tool for extracting all the text on the current webpage."""
|
|
|
|
name: str = "extract_text"
|
|
description: str = "Extract all the text on the current webpage"
|
|
args_schema: Type[BaseModel] = BaseModel
|
|
|
|
@root_validator
|
|
def check_acheck_bs_importrgs(cls, values: dict) -> dict:
|
|
"""Check that the arguments are valid."""
|
|
try:
|
|
from bs4 import BeautifulSoup # noqa: F401
|
|
except ImportError:
|
|
raise ImportError(
|
|
"The 'beautifulsoup4' package is required to use this tool."
|
|
" Please install it with 'pip install beautifulsoup4'."
|
|
)
|
|
return values
|
|
|
|
def _run(self, run_manager: Optional[CallbackManagerForToolRun] = None) -> str:
|
|
"""Use the tool."""
|
|
# Use Beautiful Soup since it's faster than looping through the elements
|
|
from bs4 import BeautifulSoup
|
|
|
|
if self.sync_browser is None:
|
|
raise ValueError(f"Synchronous browser not provided to {self.name}")
|
|
|
|
page = get_current_page(self.sync_browser)
|
|
html_content = page.content()
|
|
|
|
# Parse the HTML content with BeautifulSoup
|
|
soup = BeautifulSoup(html_content, "lxml")
|
|
|
|
return " ".join(text for text in soup.stripped_strings)
|
|
|
|
async def _arun(
|
|
self, run_manager: Optional[AsyncCallbackManagerForToolRun] = None
|
|
) -> str:
|
|
"""Use the tool."""
|
|
if self.async_browser is None:
|
|
raise ValueError(f"Asynchronous browser not provided to {self.name}")
|
|
# Use Beautiful Soup since it's faster than looping through the elements
|
|
from bs4 import BeautifulSoup
|
|
|
|
page = await aget_current_page(self.async_browser)
|
|
html_content = await page.content()
|
|
|
|
# Parse the HTML content with BeautifulSoup
|
|
soup = BeautifulSoup(html_content, "lxml")
|
|
|
|
return " ".join(text for text in soup.stripped_strings)
|