221 lines
7.6 KiB
Python
221 lines
7.6 KiB
Python
from langchain_core.messages import BaseMessage, HumanMessage, ToolMessage, AIMessage
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from typing import List
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from typing import Annotated
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from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
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from langchain_core.messages import RemoveMessage
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from langchain_core.tools import tool
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from datetime import date, timedelta, datetime
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import functools
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import pandas as pd
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import os
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from dateutil.relativedelta import relativedelta
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from langchain_openai import ChatOpenAI
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import tradingagents.dataflows.interface as interface
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from tradingagents.default_config import DEFAULT_CONFIG
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from langchain_core.messages import HumanMessage
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def create_msg_delete():
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def delete_messages(state):
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"""Clear messages and add placeholder for Anthropic compatibility"""
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messages = state["messages"]
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# Remove all messages
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removal_operations = [RemoveMessage(id=m.id) for m in messages]
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# Add a minimal placeholder message
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placeholder = HumanMessage(content="Continue")
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return {"messages": removal_operations + [placeholder]}
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return delete_messages
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class Toolkit:
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_config = DEFAULT_CONFIG.copy()
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@classmethod
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def update_config(cls, config):
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"""Update the class-level configuration."""
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cls._config.update(config)
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@property
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def config(self):
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"""Access the configuration."""
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return self._config
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def __init__(self, config=None):
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if config:
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self.update_config(config)
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@staticmethod
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@tool
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def get_blockbeats_news(
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count: Annotated[int, "Number of news articles to retrieve, no more than 30"] = 10,
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) -> str:
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"""
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Retrieve the latest news from BlockBeats, especially useful for Cryptos.
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Args:
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count (int): Number of news articles to retrieve, no more than 30
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Returns:
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str: A formatted string containing the latest news from BlockBeats.
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"""
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blockbeats_news_result = interface.get_blockbeats_news(count)
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return blockbeats_news_result
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@staticmethod
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@tool
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def get_coindesk_news(
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tickers: Annotated[
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List[str],
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"List of tickers to get news for, e.g. ['BTC', 'ETH']",
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] = [],
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count: Annotated[int, "Number of news articles to retrieve, default is 10"] = 10,
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) -> str:
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"""
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Retrieve the latest news from Coindesk for a given list of tickers.
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Args:
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tickers (List[str]): List of tickers to get news for, e.g. ['BTC', 'ETH']
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count (int): Number of news articles to retrieve, default is 10
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Returns:
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str: A formatted string containing the latest news from Coindesk for the specified tickers.
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"""
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coindesk_news_result = interface.get_coindesk_news(tickers, count)
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return coindesk_news_result
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@staticmethod
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@tool
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def get_binance_data(
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symbol: Annotated[str, "ticker symbol of the asset"],
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interval: Annotated[
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str,
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"Interval for the data, e.g. '1m', '5m', '1h', '1d'",
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] = "15m",
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) -> str:
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"""
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Retrieve the latest market data from Binance for a given symbol and interval.
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Args:
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symbol (str): Ticker symbol of the asset, e.g. 'BTCUSDT'
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interval (str): Interval for the data, e.g. '1m', '5m', '1h', '1d'
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Returns:
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str: A formatted string containing the latest market data from Binance for the specified symbol and interval.
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"""
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binance_data_result = interface.get_binance_data(symbol, interval)
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return binance_data_result
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@staticmethod
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@tool
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def get_reddit_news(
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curr_date: Annotated[str, "Date you want to get news for in yyyy-mm-dd format"],
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) -> str:
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"""
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Retrieve global news from Reddit within a specified time frame.
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Args:
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curr_date (str): Date you want to get news for in yyyy-mm-dd format
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Returns:
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str: A formatted dataframe containing the latest global news from Reddit in the specified time frame.
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"""
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global_news_result = interface.get_reddit_global_news(curr_date, 7, 5)
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return global_news_result
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@staticmethod
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@tool
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def get_reddit_stock_info(
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ticker: Annotated[
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str,
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"Ticker of a company. e.g. AAPL, TSM",
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],
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curr_date: Annotated[str, "Current date you want to get news for"],
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) -> str:
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"""
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Retrieve the latest news about a given stock from Reddit, given the current date.
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Args:
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ticker (str): Ticker of a company. e.g. AAPL, TSM
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curr_date (str): current date in yyyy-mm-dd format to get news for
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Returns:
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str: A formatted dataframe containing the latest news about the company on the given date
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"""
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stock_news_results = interface.get_reddit_company_news(ticker, curr_date, 7, 5)
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return stock_news_results
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@staticmethod
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@tool
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def get_google_news(
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query: Annotated[str, "Query to search with"],
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curr_date: Annotated[str, "Curr date in yyyy-mm-dd format"],
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):
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"""
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Retrieve the latest news from Google News based on a query and date range.
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Args:
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query (str): Query to search with
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curr_date (str): Current date in yyyy-mm-dd format
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look_back_days (int): How many days to look back
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Returns:
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str: A formatted string containing the latest news from Google News based on the query and date range.
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"""
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google_news_results = interface.get_google_news(query, curr_date, 7)
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return google_news_results
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@staticmethod
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@tool
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def get_stock_news_openai(
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ticker: Annotated[str, "the company's ticker"],
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curr_date: Annotated[str, "Current date in yyyy-mm-dd format"],
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):
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"""
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Retrieve the latest news about a given stock by using OpenAI's news API.
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Args:
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ticker (str): Ticker of a company. e.g. AAPL, TSM
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curr_date (str): Current date in yyyy-mm-dd format
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Returns:
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str: A formatted string containing the latest news about the company on the given date.
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"""
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openai_news_results = interface.get_stock_news_openai(ticker, curr_date)
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return openai_news_results
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@staticmethod
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@tool
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def get_global_news_openai(
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curr_date: Annotated[str, "Current date in yyyy-mm-dd format"],
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):
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"""
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Retrieve the latest macroeconomics news on a given date using OpenAI's macroeconomics news API.
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Args:
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curr_date (str): Current date in yyyy-mm-dd format
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Returns:
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str: A formatted string containing the latest macroeconomic news on the given date.
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"""
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openai_news_results = interface.get_global_news_openai(curr_date)
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return openai_news_results
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@staticmethod
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@tool
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def get_fundamentals_openai(
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ticker: Annotated[str, "the company's ticker"],
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curr_date: Annotated[str, "Current date in yyyy-mm-dd format"],
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):
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"""
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Retrieve the latest fundamental information about a given stock on a given date by using OpenAI's news API.
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Args:
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ticker (str): Ticker of a company. e.g. AAPL, TSM
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curr_date (str): Current date in yyyy-mm-dd format
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Returns:
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str: A formatted string containing the latest fundamental information about the company on the given date.
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"""
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openai_fundamentals_results = interface.get_fundamentals_openai(
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ticker, curr_date
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)
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return openai_fundamentals_results
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