"""AI 产品竞争力诊断 Agent。"""

from app.services.llm_client import LLMClient


async def diagnose_product(product_info: str, competitor_info: str) -> dict:
    """AI 体验产品 + 竞品对比 + 生成热力图。"""
    llm = LLMClient()
    prompt = f"""请对以下产品进行竞争力诊断，并与竞品对比：

产品信息：{product_info[:3000]}
竞品信息：{competitor_info[:3000]}

以 JSON 格式返回：
{{"dimensions": [{{"dimension": "用户体验", "score": 8, "competitor_avg": 7}}], "heatmap_data": {{"product": [8, 7, 9, 6], "competitors": [7, 8, 6, 7]}}, "roadmap_suggestions": "路线图建议"}}"""
    result = await llm.chat(prompt, temperature=0.4)
    return result if isinstance(result, dict) else {}