mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +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
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from typing import Optional, Type
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from langchain_core.callbacks import (
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AsyncCallbackManagerForToolRun,
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CallbackManagerForToolRun,
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)
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from langchain_core.pydantic_v1 import BaseModel, root_validator
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from langchain_community.tools.playwright.base import BaseBrowserTool
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from langchain_community.tools.playwright.utils import (
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aget_current_page,
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get_current_page,
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)
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class ExtractTextTool(BaseBrowserTool):
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"""Tool for extracting all the text on the current webpage."""
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name: str = "extract_text"
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description: str = "Extract all the text on the current webpage"
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args_schema: Type[BaseModel] = BaseModel
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@root_validator
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def check_acheck_bs_importrgs(cls, values: dict) -> dict:
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"""Check that the arguments are valid."""
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try:
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from bs4 import BeautifulSoup # noqa: F401
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except ImportError:
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raise ImportError(
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"The 'beautifulsoup4' package is required to use this tool."
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" Please install it with 'pip install beautifulsoup4'."
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)
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return values
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def _run(self, run_manager: Optional[CallbackManagerForToolRun] = None) -> str:
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"""Use the tool."""
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# Use Beautiful Soup since it's faster than looping through the elements
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from bs4 import BeautifulSoup
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if self.sync_browser is None:
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raise ValueError(f"Synchronous browser not provided to {self.name}")
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page = get_current_page(self.sync_browser)
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html_content = page.content()
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# Parse the HTML content with BeautifulSoup
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soup = BeautifulSoup(html_content, "lxml")
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return " ".join(text for text in soup.stripped_strings)
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async def _arun(
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self, run_manager: Optional[AsyncCallbackManagerForToolRun] = None
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) -> str:
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"""Use the tool."""
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if self.async_browser is None:
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raise ValueError(f"Asynchronous browser not provided to {self.name}")
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# Use Beautiful Soup since it's faster than looping through the elements
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from bs4 import BeautifulSoup
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page = await aget_current_page(self.async_browser)
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html_content = await page.content()
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# Parse the HTML content with BeautifulSoup
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soup = BeautifulSoup(html_content, "lxml")
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return " ".join(text for text in soup.stripped_strings)
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