233 lines
8.9 KiB
Python
233 lines
8.9 KiB
Python
# TradingAgents/graph/setup.py
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from typing import Dict, Any
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from langchain_openai import ChatOpenAI
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from langgraph.graph import END, StateGraph, START
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from langgraph.prebuilt import ToolNode
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from tradingagents.agents import *
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from tradingagents.agents.utils.agent_states import AgentState
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from .conditional_logic import ConditionalLogic
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class GraphSetup:
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"""Handles the setup and configuration of the agent graph."""
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def __init__(
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self,
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quick_thinking_llm: ChatOpenAI,
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deep_thinking_llm: ChatOpenAI,
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tool_nodes: Dict[str, ToolNode],
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bull_memory,
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bear_memory,
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trader_memory,
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invest_judge_memory,
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risk_manager_memory,
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conditional_logic: ConditionalLogic,
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):
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"""Initialize with required components."""
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self.quick_thinking_llm = quick_thinking_llm
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self.deep_thinking_llm = deep_thinking_llm
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self.tool_nodes = tool_nodes
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self.bull_memory = bull_memory
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self.bear_memory = bear_memory
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self.trader_memory = trader_memory
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self.invest_judge_memory = invest_judge_memory
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self.risk_manager_memory = risk_manager_memory
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self.conditional_logic = conditional_logic
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def setup_graph(
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self, selected_analysts=["market", "social", "news", "fundamentals"]
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):
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"""Set up and compile the agent workflow graph.
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Args:
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selected_analysts (list): List of analyst types to include. Options are:
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- "market": Market analyst
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- "social": Social media analyst
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- "news": News analyst
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- "fundamentals": Fundamentals analyst
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"""
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if len(selected_analysts) == 0:
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raise ValueError("Trading Agents Graph Setup Error: no analysts selected!")
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# Create analyst nodes
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analyst_nodes = {}
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delete_nodes = {}
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tool_nodes = {}
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# FORCE MARKET ANALYST (MANDATORY)
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# It must enable Regime Detection before any other analyst runs.
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# Remove 'market' from selected list to avoid duplication if user selected it.
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# We will add it manually as the first node.
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other_analysts = [a for a in selected_analysts if a != "market"]
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# MARKET ANALYST (Always Created)
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analyst_nodes["market"] = create_market_analyst(self.quick_thinking_llm)
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delete_nodes["market"] = create_msg_delete()
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tool_nodes["market"] = self.tool_nodes["market"]
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# Loop through other optional analysts (Social, News, Fundamentals)
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if "social" in selected_analysts:
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analyst_nodes["social"] = create_social_media_analyst(
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self.quick_thinking_llm
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)
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delete_nodes["social"] = create_msg_delete()
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tool_nodes["social"] = self.tool_nodes["social"]
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if "news" in selected_analysts:
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analyst_nodes["news"] = create_news_analyst(
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self.quick_thinking_llm
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)
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delete_nodes["news"] = create_msg_delete()
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tool_nodes["news"] = self.tool_nodes["news"]
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if "fundamentals" in selected_analysts:
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analyst_nodes["fundamentals"] = create_fundamentals_analyst(
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self.quick_thinking_llm
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)
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delete_nodes["fundamentals"] = create_msg_delete()
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tool_nodes["fundamentals"] = self.tool_nodes["fundamentals"]
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# Create researcher and manager nodes
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bull_researcher_node = create_bull_researcher(
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self.quick_thinking_llm, self.bull_memory
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)
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bear_researcher_node = create_bear_researcher(
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self.quick_thinking_llm, self.bear_memory
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)
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research_manager_node = create_research_manager(
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self.deep_thinking_llm, self.invest_judge_memory
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)
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trader_node = create_trader(self.quick_thinking_llm, self.trader_memory)
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# Create risk analysis nodes
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risky_analyst = create_risky_debator(self.quick_thinking_llm)
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neutral_analyst = create_neutral_debator(self.quick_thinking_llm)
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safe_analyst = create_safe_debator(self.quick_thinking_llm)
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risk_manager_node = create_risk_manager(
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self.deep_thinking_llm, self.risk_manager_memory
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)
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# Create workflow
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workflow = StateGraph(AgentState)
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# Add analyst nodes to the graph
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# Add analyst nodes to the graph
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# 1. Add Market Analyst (Mandatory)
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workflow.add_node("Market Analyst", analyst_nodes["market"])
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workflow.add_node("Msg Clear Market", delete_nodes["market"])
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workflow.add_node("tools_market", tool_nodes["market"])
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# 2. Add Other Analysts
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for analyst_type in other_analysts:
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if analyst_type in analyst_nodes:
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workflow.add_node(f"{analyst_type.capitalize()} Analyst", analyst_nodes[analyst_type])
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workflow.add_node(
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f"Msg Clear {analyst_type.capitalize()}", delete_nodes[analyst_type]
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)
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workflow.add_node(f"tools_{analyst_type}", tool_nodes[analyst_type])
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# Add other nodes
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workflow.add_node("Bull Researcher", bull_researcher_node)
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workflow.add_node("Bear Researcher", bear_researcher_node)
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workflow.add_node("Research Manager", research_manager_node)
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workflow.add_node("Trader", trader_node)
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workflow.add_node("Risky Analyst", risky_analyst)
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workflow.add_node("Neutral Analyst", neutral_analyst)
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workflow.add_node("Safe Analyst", safe_analyst)
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workflow.add_node("Risk Judge", risk_manager_node)
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# Define edges
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# Define edges
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# 1. START -> Market Analyst (Always)
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workflow.add_edge(START, "Market Analyst")
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# 2. Market Analyst -> Tools -> Clear
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workflow.add_conditional_edges(
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"Market Analyst",
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self.conditional_logic.should_continue_market,
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["tools_market", "Msg Clear Market"],
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)
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workflow.add_edge("tools_market", "Market Analyst")
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# 3. Market Analyst -> First Optional Analyst (or Bull Researcher)
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if len(other_analysts) > 0:
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first_other = other_analysts[0]
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workflow.add_edge("Msg Clear Market", f"{first_other.capitalize()} Analyst")
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else:
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workflow.add_edge("Msg Clear Market", "Bull Researcher")
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# 4. Connect Optional Analysts in sequence
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for i, analyst_type in enumerate(other_analysts):
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current_analyst = f"{analyst_type.capitalize()} Analyst"
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current_tools = f"tools_{analyst_type}"
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current_clear = f"Msg Clear {analyst_type.capitalize()}"
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# Add conditional edges for current analyst
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workflow.add_conditional_edges(
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current_analyst,
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getattr(self.conditional_logic, f"should_continue_{analyst_type}"),
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[current_tools, current_clear],
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)
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workflow.add_edge(current_tools, current_analyst)
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# Connect to next analyst or to Bull Researcher if this is the last analyst
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if i < len(other_analysts) - 1:
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next_analyst = f"{other_analysts[i+1].capitalize()} Analyst"
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workflow.add_edge(current_clear, next_analyst)
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else:
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workflow.add_edge(current_clear, "Bull Researcher")
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# Add remaining edges
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workflow.add_conditional_edges(
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"Bull Researcher",
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self.conditional_logic.should_continue_debate,
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{
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"Bear Researcher": "Bear Researcher",
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"Research Manager": "Research Manager",
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},
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)
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workflow.add_conditional_edges(
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"Bear Researcher",
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self.conditional_logic.should_continue_debate,
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{
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"Bull Researcher": "Bull Researcher",
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"Research Manager": "Research Manager",
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},
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)
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workflow.add_edge("Research Manager", "Trader")
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workflow.add_edge("Trader", "Risky Analyst")
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workflow.add_conditional_edges(
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"Risky Analyst",
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self.conditional_logic.should_continue_risk_analysis,
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{
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"Safe Analyst": "Safe Analyst",
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"Risk Judge": "Risk Judge",
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},
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)
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workflow.add_conditional_edges(
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"Safe Analyst",
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self.conditional_logic.should_continue_risk_analysis,
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{
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"Neutral Analyst": "Neutral Analyst",
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"Risk Judge": "Risk Judge",
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},
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)
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workflow.add_conditional_edges(
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"Neutral Analyst",
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self.conditional_logic.should_continue_risk_analysis,
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{
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"Risky Analyst": "Risky Analyst",
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"Risk Judge": "Risk Judge",
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},
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)
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workflow.add_edge("Risk Judge", END)
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# Compile and return
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return workflow.compile()
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