from typing import Generator, List, Dict
from utils.llm_client import LLMClient
import config

class ResearchAgent:
    """研究模式专用 Agent"""
    
    def __init__(self, role: str, llm_client: LLMClient):
        self.role = role
        self.llm_client = llm_client
        self.role_config = config.RESEARCH_MODEL_ROLES.get(role, {})
        self.name = self.role_config.get("name", role.capitalize())
        
    def _get_system_prompt(self, context: str = "") -> str:
        if self.role == "planner":
            return f"""You are a Senior Research Planner.
Your goal is to break down a complex user topic into a structured research plan.
You must create a clear, step-by-step plan that covers different angles of the topic.
Format your output as a Markdown list of steps.
Context: {context}"""
        
        elif self.role == "researcher":
            return f"""You are a Deep Researcher.
Your goal is to execute a specific research step and provide detailed, in-depth analysis.
Use your vast knowledge to provide specific facts, figures, and logical reasoning.
Do not be superficial. Go deep.
Context: {context}"""
        
        elif self.role == "writer":
            return f"""You are a Senior Report Writer.
Your goal is to synthesize multiple research findings into a cohesive, high-quality report.
The report should be well-structured, easy to read, and provide actionable insights.
Context: {context}"""
        
        else:
            return "You are a helpful assistant."

    def generate(self, prompt: str, context: str = "") -> Generator[str, None, None]:
        """Generate response stream"""
        system_prompt = self._get_system_prompt(context)
        yield from self.llm_client.chat_stream(
            system_prompt=system_prompt,
            user_prompt=prompt
        )