74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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内容审核模块
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"""
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import logging
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import json
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from json_repair import loads as json_repair_loads
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from typing import Dict, Any
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from core.ai import AIAgent
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# We'll need a specific config for the judger
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# from core.config import ContentJudgerConfig
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from utils.prompts import JudgerPromptBuilder
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logger = logging.getLogger(__name__)
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class ContentJudger:
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"""内容审核类，使用AI评估和修正内容"""
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def __init__(self, ai_agent: AIAgent, system_prompt_path: str):
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"""
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初始化内容审核器
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Args:
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ai_agent: AIAgent实例
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system_prompt_path: 审核系统提示的文件路径
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"""
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self.ai_agent = ai_agent
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self.prompt_builder = JudgerPromptBuilder(system_prompt_path)
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def judge(self, product_info: str, generated_content: str) -> Dict[str, Any]:
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"""
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审核内容，返回一个包含分析和修正后内容的字典
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Args:
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product_info: 用作参考的产品资料
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generated_content: 需要审核的原始生成内容
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Returns:
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一个包含审核结果的字典，可能包括 "analysis", "title", "content"
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"""
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logger.info("开始内容审核...")
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# 1. 构建提示
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prompts = self.prompt_builder.build_prompts(product_info, generated_content)
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# 2. 调用AI
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try:
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raw_result, _, _, _ = self.ai_agent.work(
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system_prompt=prompts["system"],
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user_prompt=prompts["user"]
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)
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except Exception as e:
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logger.critical(f"内容审核时AI调用失败: {e}", exc_info=True)
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return {"judge_success": False, "error": str(e)}
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# 3. 解析结果
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try:
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# 假设结果是一个JSON字符串
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judged_data = json_repair_loads(raw_result)
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if isinstance(judged_data, dict) and "title" in judged_data and "content" in judged_data:
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judged_data["judge_success"] = True
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logger.info("内容审核成功完成。")
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return judged_data
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else:
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logger.warning(f"审核响应JSON格式不正确或缺少键: {judged_data}")
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return {"judge_success": False, "error": "Invalid JSON response", "raw_response": raw_result}
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except (json.JSONDecodeError, ValueError) as e:
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logger.error(f"解析审核响应JSON失败: {e}")
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return {"judge_success": False, "error": "JSONDecodeError", "raw_response": raw_result} |