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langchain/libs/community/langchain_community/tools/playwright/extract_text.py

69 lines
2.3 KiB
Python

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
9 months ago
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)