# TradingAgents/graph/conditional_logic.py from tradingagents.agents.utils.agent_states import AgentState class ConditionalLogic: """Handles conditional logic for determining graph flow.""" def __init__(self, max_debate_rounds=1, max_risk_discuss_rounds=1): """Initialize with configuration parameters.""" self.max_debate_rounds = max_debate_rounds self.max_risk_discuss_rounds = max_risk_discuss_rounds def should_continue_market(self, state: AgentState): """Determine if market analysis should continue.""" messages = state["messages"] last_message = messages[-1] if last_message.tool_calls: return "tools_market" return "Msg Clear Market" def should_continue_social(self, state: AgentState): """Determine if social media analysis should continue.""" messages = state["messages"] last_message = messages[-1] if last_message.tool_calls: return "tools_social" return "Msg Clear Social" def should_continue_news(self, state: AgentState): """Determine if news analysis should continue.""" messages = state["messages"] last_message = messages[-1] if last_message.tool_calls: return "tools_news" return "Msg Clear News" def should_continue_fundamentals(self, state: AgentState): """Determine if fundamentals analysis should continue.""" messages = state["messages"] last_message = messages[-1] if last_message.tool_calls: return "tools_fundamentals" return "Msg Clear Fundamentals" def should_continue_debate(self, state: AgentState) -> str: """Determine if debate should continue with proper validation.""" if not state or "investment_debate_state" not in state: return "Research Manager" debate_state = state["investment_debate_state"] count = debate_state.get("count", 0) current_response = debate_state.get("current_response", "") if not isinstance(count, int) or count < 0: return "Research Manager" if count >= 2 * self.max_debate_rounds: return "Research Manager" if isinstance(current_response, str) and current_response.strip(): if current_response.upper().startswith("BULL"): return "Bear Researcher" return "Bull Researcher" def should_continue_risk_analysis(self, state: AgentState) -> str: """Determine if risk analysis should continue with proper validation.""" if not state or "risk_debate_state" not in state: return "Risk Judge" risk_state = state["risk_debate_state"] count = risk_state.get("count", 0) latest_speaker = risk_state.get("latest_speaker", "") if not isinstance(count, int) or count < 0: return "Risk Judge" if count >= 3 * self.max_risk_discuss_rounds: return "Risk Judge" if isinstance(latest_speaker, str) and latest_speaker.strip(): speaker_upper = latest_speaker.upper() if speaker_upper.startswith("RISKY"): return "Safe Analyst" elif speaker_upper.startswith("SAFE"): return "Neutral Analyst" return "Risky Analyst"