feat: initial commit - EvoTraders project

量化交易多智能体系统，包含：
- 分析师、投资组合经理、风险经理等智能体
- 股票分析、投资组合管理、风险控制工具
- React 前端界面
- FastAPI 后端服务

Co-Authored-By: Claude <noreply@anthropic.com>

backend/agents/analyst.py

@@ -0,0 +1,133 @@
+# -*- coding: utf-8 -*-
+"""
+Analyst Agent - Based on AgentScope ReActAgent
+Performs analysis using tools and LLM
+"""
+from typing import Any, Dict, Optional
+
+from agentscope.agent import ReActAgent
+from agentscope.memory import InMemoryMemory, LongTermMemoryBase
+from agentscope.message import Msg
+
+from ..config.constants import ANALYST_TYPES
+from ..utils.progress import progress
+from .prompt_loader import PromptLoader
+
+_prompt_loader = PromptLoader()
+
+
+class AnalystAgent(ReActAgent):
+    """
+    Analyst Agent - Uses LLM for tool selection and analysis
+    Inherits from AgentScope's ReActAgent
+    """
+
+    def __init__(
+        self,
+        analyst_type: str,
+        toolkit: Any,
+        model: Any,
+        formatter: Any,
+        agent_id: Optional[str] = None,
+        config: Optional[Dict[str, Any]] = None,
+        long_term_memory: Optional[LongTermMemoryBase] = None,
+    ):
+        """
+        Initialize Analyst Agent
+
+        Args:
+            analyst_type: Type of analyst (e.g., "fundamentals", etc.)
+            toolkit: AgentScope Toolkit instance
+            model: LLM model instance
+            formatter: Message formatter instance
+            agent_id: Agent ID (defaults to "{analyst_type}_analyst")
+            config: Configuration dictionary
+            long_term_memory: Optional ReMeTaskLongTermMemory instance
+        """
+        if analyst_type not in ANALYST_TYPES:
+            raise ValueError(
+                f"Unknown analyst type: {analyst_type}. "
+                f"Must be one of: {list(ANALYST_TYPES.keys())}",
+            )
+
+        self.analyst_type_key = analyst_type
+        self.analyst_persona = ANALYST_TYPES[analyst_type]["display_name"]
+
+        if agent_id is None:
+            agent_id = analyst_type
+
+        self.config = config or {}
+
+        sys_prompt = self._load_system_prompt()
+
+        kwargs = {
+            "name": agent_id,
+            "sys_prompt": sys_prompt,
+            "model": model,
+            "formatter": formatter,
+            "toolkit": toolkit,
+            "memory": InMemoryMemory(),
+            "max_iters": 10,
+        }
+        if long_term_memory:
+            kwargs["long_term_memory"] = long_term_memory
+            kwargs["long_term_memory_mode"] = "static_control"
+
+        super().__init__(**kwargs)
+
+    def _load_system_prompt(self) -> str:
+        """Load system prompt for analyst"""
+        personas_config = _prompt_loader.load_yaml_config(
+            "analyst",
+            "personas",
+        )
+        persona = personas_config.get(self.analyst_type_key, {})
+
+        # Get focus items and format as bullet points
+        focus_items = persona.get("focus", [])
+        focus_text = "\n".join(f"- {item}" for item in focus_items)
+
+        # Get description
+        description = persona.get("description", "").strip()
+
+        return _prompt_loader.load_prompt(
+            "analyst",
+            "system",
+            variables={
+                "analyst_type": self.analyst_persona,
+                "focus": focus_text,
+                "description": description,
+            },
+        )
+
+    async def reply(self, x: Msg = None) -> Msg:
+        """
+        Override reply method to add progress tracking
+
+        Args:
+            x: Input message (content must be str)
+
+        Returns:
+            Response message (content is str)
+        """
+        ticker = None
+        if x and hasattr(x, "metadata") and x.metadata:
+            ticker = x.metadata.get("tickers")
+
+        if ticker:
+            progress.update_status(
+                self.name,
+                ticker,
+                f"Starting {self.analyst_persona} analysis",
+            )
+
+        result = await super().reply(x)
+
+        if ticker:
+            progress.update_status(
+                self.name,
+                ticker,
+                "Analysis completed",
+            )
+
+        return result