98 lines
4.5 KiB
Python
98 lines
4.5 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, normalize_agent_output
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from tradingagents.dataflows.config import get_config
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from tradingagents.utils.logger import app_logger as logger
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from tradingagents.utils.anonymizer import TickerAnonymizer
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# Initialize anonymizer
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anonymizer = TickerAnonymizer()
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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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real_ticker = state["company_of_interest"]
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# BLINDFIRE PROTOCOL: Anonymize Ticker
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ticker = anonymizer.anonymize_ticker(real_ticker)
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# Note: company name registration happens in market_analyst primarily,
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# but we can do it here too if not already set, or just use ticker mapping.
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# Since state doesn't always have full company name guaranteed in all flows,
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# we rely on market_analyst or previous steps, or just ticker hashing here.
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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 = (
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"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."
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+ """ 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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+ """
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### STRICT COMPLIANCE & PROVENANCE PROTOCOL (NON-NEGOTIABLE)
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1. CITATION RULE:
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- Every numeric claim MUST have a source tag: `(Source: [Tool Name] > [Vendor] @ [YYYY-MM-DD])`.
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- Example: "Revenue grew 15% (Source: get_fundamentals > alpha_vantage @ 2026-01-14)."
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- If a number cannot be sourced to a specific tool execution, DO NOT USE IT.
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2. UNIT NORMALIZATION:
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- You MUST normalize all currency to USD.
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- You MUST state "Currency converted from [Original] to USD" if applicable.
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3. FAILURE HANDLING:
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- If a tool fails (e.g., Rate Limit), you MUST log: "MISSING DATA: [Tool Name] failed."
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- DO NOT hallucinate data to fill the gap.
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- If critical data (Price, Revenue) is missing, output: "INSUFFICIENT DATA TO RATE."
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4. "FINAL PROPOSAL" GATING CHECKLIST:
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- You may ONLY emit "FINAL TRANSACTION PROPOSAL" if:
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[ ] Price data is < 24 hours old.
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[ ] At least 3 distinct data sources were queried.
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[ ] No "Compliance Flags" (Insider Trading suspicions) were triggered.
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[ ] Confidence Score is > 70/100.
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"""
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)
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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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logger.info(f"News Analyst Prompt: {prompt}")
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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": normalize_agent_output(report),
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}
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return news_analyst_node
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