68 lines
3.7 KiB
Python
68 lines
3.7 KiB
Python
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
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import time
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import json
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from tradingagents.agents.utils.agent_utils import get_news, get_global_news
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from tradingagents.dataflows.config import get_config
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def get_news_analyst_system_message(language="en"):
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"""Get news analyst system message in the specified language."""
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if language == "zh_TW":
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return "你是一位新聞研究員，負責分析過去一周的最近新聞和趨勢。請寫一份全面的報告，說明對於交易和宏觀經濟相關的當前世界狀況。使用可用工具：get_news(query, start_date, end_date) 用於公司特定或針對性的新聞搜索，以及 get_global_news(curr_date, look_back_days, limit) 用於更廣泛的宏觀經濟新聞。不要簡單地說趨勢是混合的，提供詳細的細緻分析和見解，以幫助交易員做出決策。" + """ 確保在報告末尾附加 Markdown 表格以組織關鍵點，清晰易讀。"""
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else:
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return "You are a news researcher tasked with analyzing recent news and trends over the past week. Please write a comprehensive report of the current state of the world that is relevant for trading and macroeconomics. Use the available tools: get_news(query, start_date, end_date) for company-specific or targeted news searches, and get_global_news(curr_date, look_back_days, limit) for broader macroeconomic news. Do not simply state the trends are mixed, provide detailed and finegrained analysis and insights that may help traders make decisions." + """ Make sure to append a Markdown table at the end of the report to organize key points in the report, organized and easy to read."""
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def create_news_analyst(llm):
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def news_analyst_node(state):
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current_date = state["trade_date"]
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ticker = state["company_of_interest"]
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# Get language from config, default to English
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config = get_config()
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language = config.get("language", "en")
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tools = [
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get_news,
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get_global_news,
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]
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system_message = get_news_analyst_system_message(language)
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prompt = ChatPromptTemplate.from_messages(
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[
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(
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"system",
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"You are a helpful AI assistant, collaborating with other assistants."
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" Use the provided tools to progress towards answering the question."
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" If you are unable to fully answer, that's OK; another assistant with different tools"
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" will help where you left off. Execute what you can to make progress."
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" If you or any other assistant has the FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** or deliverable,"
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" prefix your response with FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** so the team knows to stop."
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" You have access to the following tools: {tool_names}.\n{system_message}"
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"For your reference, the current date is {current_date}. We are looking at the company {ticker}",
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),
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MessagesPlaceholder(variable_name="messages"),
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]
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)
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prompt = prompt.partial(system_message=system_message)
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prompt = prompt.partial(tool_names=", ".join([tool.name for tool in tools]))
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prompt = prompt.partial(current_date=current_date)
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prompt = prompt.partial(ticker=ticker)
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chain = prompt | llm.bind_tools(tools)
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result = chain.invoke(state["messages"])
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report = ""
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if len(result.tool_calls) == 0:
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report = result.content
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return {
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"messages": [result],
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"news_report": report,
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}
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return news_analyst_node
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