242 lines
9.3 KiB
Python
242 lines
9.3 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 (
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AgentState,
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SocialAnalystState,
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NewsAnalystState,
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FundamentalsAnalystState
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)
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from tradingagents.agents.data_registrar import create_data_registrar
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from .enhanced_conditional_logic import EnhancedConditionalLogic
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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: EnhancedConditionalLogic,
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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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# 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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# 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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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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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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# 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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# 0. ADD DATA REGISTRAR (The Foundation)
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workflow.add_node("Data Registrar", create_data_registrar())
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# 1. Add Market Analyst (No Tools, No Loop)
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workflow.add_node("Market Analyst", analyst_nodes["market"])
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# market_analyst_node now returns dict with market_report, regime etc.
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# It does NOT use tools, so no "tools_market" needed.
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# We retain "Msg Clear Market" as a bridge node for the Fan-Out if needed,
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# or we just Fan-Out from "Market Analyst" directly.
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# Let's keep it simple: Market Analyst -> Fan Out.
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# 2. Add Other Analysts (SUBGRAPHS)
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# Even though they are tool-less, we keep them as subgraphs or nodes.
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# If they are tool-less, standard nodes are fine, but let's stick to the
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# existing structure if it works, OR simplify since tool-less = single step.
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# SIMPLIFICATION: If they are tool-less, they are just nodes.
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# But to avoid breaking the "build_analyst_subgraph" pattern spread elsewhere/logic,
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# we can just add them as regular nodes.
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# Let's add them as Regular Nodes since they are now simple functions.
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for analyst_type in other_analysts:
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if analyst_type in analyst_nodes:
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# Direct Node Addition (No Subgraph needed for Tool-less agents)
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workflow.add_node(f"{analyst_type.capitalize()} Analyst", analyst_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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# 1. START -> Data Registrar
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workflow.add_edge(START, "Data Registrar")
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# 2. Data Registrar -> Market Analyst
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workflow.add_edge("Data Registrar", "Market Analyst")
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# 3. Market Analyst -> Fan-Out
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# We fan out to [Social, News, Fundamentals]
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# Sync Node
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def analyst_sync_node(state: AgentState):
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return {}
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workflow.add_node("Analyst Sync", analyst_sync_node)
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if len(other_analysts) > 0:
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for analyst_type in other_analysts:
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workflow.add_edge("Market Analyst", f"{analyst_type.capitalize()} Analyst")
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# And they all go to Sync
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workflow.add_edge(f"{analyst_type.capitalize()} Analyst", "Analyst Sync")
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else:
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workflow.add_edge("Market Analyst", "Analyst Sync")
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# 4. Sync -> Debate
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workflow.add_edge("Analyst Sync", "Bull Researcher")
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# Add remaining edges (Debate Loop)
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workflow.add_conditional_edges(
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"Bull Researcher",
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self.conditional_logic.should_continue_debate_with_validation,
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{
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"Bear Researcher": "Bear Researcher",
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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_conditional_edges(
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"Bear Researcher",
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self.conditional_logic.should_continue_debate_with_validation,
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{
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"Bull Researcher": "Bull Researcher",
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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_edge("Research Manager", "Trader")
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# --- LEGACY RISK ARCHITECTURE (DISABLED FOR PHASE 2) ---
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# The Gatekeeper now assumes final authority immediately after the Trader.
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# The Risk Debate layer will be reintegrated in Phase 3 or refactored to advise the Trader.
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# 1. FAN-OUT: Trader -> All 3 Analysts
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# workflow.add_edge("Trader", "Risky Analyst")
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# workflow.add_edge("Trader", "Safe Analyst")
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# workflow.add_edge("Trader", "Neutral Analyst")
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# 2. DEFINE SYNC NODE (The Barrier)
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# def risk_sync_node(state: AgentState):
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# return {}
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# workflow.add_node("Risk Sync", risk_sync_node)
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# 3. FAN-IN: Analysts -> Sync
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# workflow.add_edge("Risky Analyst", "Risk Sync")
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# workflow.add_edge("Safe Analyst", "Risk Sync")
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# workflow.add_edge("Neutral Analyst", "Risk Sync")
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# 4. SYNC -> JUDGE
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# workflow.add_edge("Risk Sync", "Risk Judge")
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# 5. JUDGE -> END
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# workflow.add_edge("Risk Judge", END)
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# Compile and return
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# --- PHASE 2: EXECUTION GATEKEEPER ---
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from .execution_gatekeeper import create_execution_gatekeeper
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workflow.add_node("Execution Gatekeeper", create_execution_gatekeeper())
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# Path: Trader -> Gatekeeper -> END
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workflow.add_edge("Trader", "Execution Gatekeeper")
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workflow.add_edge("Execution Gatekeeper", END)
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# Compile and return
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return workflow.compile()
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