81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
# TradingAgents/graph/propagation.py
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from typing import Dict, Any
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from tradingagents.agents.utils.agent_states import (
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AgentState,
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InvestDebateState,
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RiskDebateState,
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)
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class Propagator:
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"""Handles state initialization and propagation through the graph."""
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def __init__(self, max_recur_limit=100):
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"""Initialize with configuration parameters."""
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self.max_recur_limit = max_recur_limit
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def create_initial_state(
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self, company_name: str, trade_date: str
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) -> Dict[str, Any]:
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"""Create the initial state for the agent graph."""
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company_value = (company_name or "").strip()
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trade_value = str(trade_date) if trade_date else ""
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initial_prompt = company_value or "Portfolio orchestration start"
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return {
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"messages": [("human", initial_prompt)],
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"company_of_interest": company_value,
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"trade_date": trade_value,
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"target_ticker": company_value,
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"investment_debate_state": InvestDebateState(
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{"history": "", "current_response": "", "count": 0}
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),
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"risk_debate_state": RiskDebateState(
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{
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"history": "",
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"current_risky_response": "",
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"current_safe_response": "",
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"current_neutral_response": "",
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"count": 0,
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}
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),
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"market_report": "",
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"fundamentals_report": "",
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"sentiment_report": "",
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"news_report": "",
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"investment_plan": "",
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"trader_investment_plan": "",
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"final_trade_decision": "",
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"portfolio_profile": {},
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"portfolio_summary": "",
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"orchestrator_status": "not_started",
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"alpaca_account_text": "",
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"alpaca_positions_text": "",
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"alpaca_orders_text": "",
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"orchestrator_hypotheses": [],
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"active_hypothesis": None,
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"scheduled_analysts": [],
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"scheduled_analysts_plan": [],
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"orchestrator_action": "",
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"action_queue": [],
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"next_directive": "stop",
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"next_node": "",
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"portfolio_account_summary": {},
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"portfolio_positions_summary": [],
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"planner_plan": {},
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"planner_notes": "",
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"orchestrator_pending_tickers": [],
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"orchestrator_focus_symbols": [],
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"orchestrator_quick_signals": {},
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"orchestrator_market_data": {},
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"orchestrator_ticker_plans": {},
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"orchestrator_focus_override": [],
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}
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def get_graph_args(self) -> Dict[str, Any]:
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"""Get arguments for the graph invocation."""
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return {
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"stream_mode": "values",
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"config": {"recursion_limit": self.max_recur_limit},
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}
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