from agents.base import Agent
from llm.prompts import RESEARCHER_SYSTEM, build_researcher_prompt


class Researcher(Agent):
    def __init__(self, llm_client):
        super().__init__("Researcher", RESEARCHER_SYSTEM, llm_client)

    def build_prompt(self, context: dict) -> str:
        return build_researcher_prompt(
            context.get("tech_analysis", {}),
            context.get("news_analysis", {}),
            context.get("sentiment_analysis", {}),
            context.get("asset", "BTC/USDT"),
        )

    def parse(self, raw: str) -> dict:
        result = super().parse(raw)
        verdict = result.get("verdict", "NEUTRAL").upper()
        if verdict not in ("BULLISH", "BEARISH", "NEUTRAL"):
            verdict = "NEUTRAL"
        return {
            "verdict": verdict,
            "conviction": float(result.get("conviction", 0.5)),
            "bull_points": result.get("bull_points", []),
            "bear_points": result.get("bear_points", []),
            "synthesis": str(result.get("synthesis", "")),
        }