#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
内容审核模块
"""

import logging
import json
from json_repair import loads as json_repair_loads
from typing import Dict, Any

from core.ai import AIAgent
# We'll need a specific config for the judger
# from core.config import ContentJudgerConfig 
from utils.prompts import JudgerPromptBuilder

logger = logging.getLogger(__name__)


class ContentJudger:
    """内容审核类，使用AI评估和修正内容"""

    def __init__(self, ai_agent: AIAgent, system_prompt_path: str):
        """
        初始化内容审核器

        Args:
            ai_agent: AIAgent实例
            system_prompt_path: 审核系统提示的文件路径
        """
        self.ai_agent = ai_agent
        self.prompt_builder = JudgerPromptBuilder(system_prompt_path)

    def judge(self, product_info: str, generated_content: str) -> Dict[str, Any]:
        """
        审核内容，返回一个包含分析和修正后内容的字典

        Args:
            product_info: 用作参考的产品资料
            generated_content: 需要审核的原始生成内容

        Returns:
            一个包含审核结果的字典，可能包括 "analysis", "title", "content"
        """
        logger.info("开始内容审核...")

        # 1. 构建提示
        prompts = self.prompt_builder.build_prompts(product_info, generated_content)

        # 2. 调用AI
        try:
            raw_result, _, _, _ = self.ai_agent.work(
                system_prompt=prompts["system"],
                user_prompt=prompts["user"]
            )
        except Exception as e:
            logger.critical(f"内容审核时AI调用失败: {e}", exc_info=True)
            return {"judge_success": False, "error": str(e)}

        # 3. 解析结果
        try:
            # 假设结果是一个JSON字符串
            judged_data = json_repair_loads(raw_result)
            if isinstance(judged_data, dict) and "title" in judged_data and "content" in judged_data:
                judged_data["judge_success"] = True
                logger.info("内容审核成功完成。")
                return judged_data
            else:
                logger.warning(f"审核响应JSON格式不正确或缺少键: {judged_data}")
                return {"judge_success": False, "error": "Invalid JSON response", "raw_response": raw_result}
        except (json.JSONDecodeError, ValueError) as e:
            logger.error(f"解析审核响应JSON失败: {e}")
            return {"judge_success": False, "error": "JSONDecodeError", "raw_response": raw_result}