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
68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
from typing import Iterable, Optional
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.documents import Document
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from langchain_core.tools import BaseTool
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from requests.exceptions import HTTPError, ReadTimeout
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from urllib3.exceptions import ConnectionError
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from langchain_community.document_loaders.web_base import WebBaseLoader
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class YahooFinanceNewsTool(BaseTool):
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"""Tool that searches financial news on Yahoo Finance."""
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name: str = "yahoo_finance_news"
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description: str = (
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"Useful for when you need to find financial news "
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"about a public company. "
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"Input should be a company ticker. "
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"For example, AAPL for Apple, MSFT for Microsoft."
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)
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top_k: int = 10
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"""The number of results to return."""
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def _run(
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self,
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query: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the Yahoo Finance News tool."""
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try:
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import yfinance
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except ImportError:
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raise ImportError(
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"Could not import yfinance python package. "
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"Please install it with `pip install yfinance`."
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)
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company = yfinance.Ticker(query)
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try:
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if company.isin is None:
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return f"Company ticker {query} not found."
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except (HTTPError, ReadTimeout, ConnectionError):
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return f"Company ticker {query} not found."
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links = []
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try:
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links = [n["link"] for n in company.news if n["type"] == "STORY"]
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except (HTTPError, ReadTimeout, ConnectionError):
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if not links:
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return f"No news found for company that searched with {query} ticker."
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if not links:
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return f"No news found for company that searched with {query} ticker."
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loader = WebBaseLoader(web_paths=links)
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docs = loader.load()
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result = self._format_results(docs, query)
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if not result:
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return f"No news found for company that searched with {query} ticker."
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return result
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@staticmethod
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def _format_results(docs: Iterable[Document], query: str) -> str:
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doc_strings = [
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"\n".join([doc.metadata["title"], doc.metadata["description"]])
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for doc in docs
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if query in doc.metadata["description"] or query in doc.metadata["title"]
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]
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return "\n\n".join(doc_strings)
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