68 lines
2.6 KiB
Python
68 lines
2.6 KiB
Python
# TradingAgents/graph/conditional_logic.py
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from tradingagents.agents.utils.agent_states import AgentState
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class ConditionalLogic:
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"""Handles conditional logic for determining graph flow."""
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def __init__(self, max_debate_rounds=1, max_risk_discuss_rounds=1):
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"""Initialize with configuration parameters."""
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self.max_debate_rounds = max_debate_rounds
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self.max_risk_discuss_rounds = max_risk_discuss_rounds
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def should_continue_market(self, state: AgentState):
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"""Determine if market analysis should continue."""
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messages = state["messages"]
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last_message = messages[-1]
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if last_message.tool_calls:
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return "tools_market"
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return "Msg Clear Market"
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def should_continue_social(self, state: AgentState):
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"""Determine if social media analysis should continue."""
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messages = state["messages"]
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last_message = messages[-1]
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if last_message.tool_calls:
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return "tools_social"
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return "Msg Clear Social"
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def should_continue_news(self, state: AgentState):
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"""Determine if news analysis should continue."""
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messages = state["messages"]
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last_message = messages[-1]
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if last_message.tool_calls:
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return "tools_news"
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return "Msg Clear News"
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def should_continue_fundamentals(self, state: AgentState):
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"""Determine if fundamentals analysis should continue."""
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messages = state["messages"]
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last_message = messages[-1]
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if last_message.tool_calls:
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return "tools_fundamentals"
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return "Msg Clear Fundamentals"
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def should_continue_debate(self, state: AgentState) -> str:
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"""Determine if debate should continue."""
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if (
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state["investment_debate_state"]["count"] >= 2 * self.max_debate_rounds
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): # 3 rounds of back-and-forth between 2 agents
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return "Research Manager"
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if state["investment_debate_state"]["current_response"].startswith("Bull"):
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return "Bear Researcher"
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return "Bull Researcher"
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def should_continue_risk_analysis(self, state: AgentState) -> str:
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"""Determine if risk analysis should continue."""
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if (
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state["risk_debate_state"]["count"] >= 3 * self.max_risk_discuss_rounds
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): # 3 rounds of back-and-forth between 3 agents
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return "Risk Judge"
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if state["risk_debate_state"]["latest_speaker"].startswith("Risky"):
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return "Safe Analyst"
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if state["risk_debate_state"]["latest_speaker"].startswith("Safe"):
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return "Neutral Analyst"
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return "Risky Analyst"
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