LongjoeAgent/utils/logger.py

import logging
import json
from datetime import datetime
import os
from typing import Dict, Any
from pathlib import Path

# 确保日志目录存在
LOG_DIR = Path("chat_logs")
LOG_DIR.mkdir(exist_ok=True)

# 详细日志目录结构
DETAILED_LOG_DIR = LOG_DIR / "detailed"
DETAILED_LOG_DIR.mkdir(exist_ok=True)


# 配置日志
def setup_logging():
    """配置日志系统"""
    # 主日志记录器
    logger = logging.getLogger("chat_logger")
    logger.setLevel(logging.INFO)

    # 避免重复添加handler
    if not logger.handlers:
        # 文件处理器 - 按天分割
        log_file = LOG_DIR / f"chat_{datetime.now().strftime('%Y%m%d')}.log"
        file_handler = logging.FileHandler(log_file, encoding="utf-8")
        file_handler.setLevel(logging.INFO)

        # 控制台处理器
        console_handler = logging.StreamHandler()
        console_handler.setLevel(logging.INFO)

        # 格式化
        formatter = logging.Formatter(
            "%(asctime)s - %(name)s - %(levelname)s - %(message)s",
            datefmt="%Y-%m-%d %H:%M:%S",
        )
        file_handler.setFormatter(formatter)
        console_handler.setFormatter(formatter)

        logger.addHandler(file_handler)
        logger.addHandler(console_handler)

    return logger


# 初始化日志
chat_logger = setup_logging()


def get_detailed_log_path(user_id: str, timestamp: datetime = None) -> Path:
    """
    获取详细日志文件的路径
    格式: chat_logs/detailed/YYYYMMDD/user_id_YYYYMMDD_HHMMSS.json
    """
    if timestamp is None:
        timestamp = datetime.now()

    # 按日期创建目录
    date_str = timestamp.strftime("%Y%m%d")
    date_dir = DETAILED_LOG_DIR / date_str
    date_dir.mkdir(exist_ok=True)

    # 生成文件名
    filename = f"{user_id}_{timestamp.strftime('%Y%m%d_%H%M%S')}.json"

    return date_dir / filename


def log_chat_entry(user_id: str, user_message: str, agent_response: Dict[str, Any]):
    """记录完整的对话日志"""
    try:
        timestamp = datetime.now()
        log_entry = {
            "timestamp": timestamp.isoformat(),
            "user_id": user_id,
            "user_message": user_message,
            "agent_response": {
                "final_answer": agent_response.get("final_answer", ""),
                "all_ai_messages_count": len(agent_response.get("all_ai_messages", [])),
                "all_messages_count": len(agent_response.get("all_messages", [])),
                "tool_calls_count": len(agent_response.get("tool_calls", [])),
            },
            "all_messages": [
                {
                    "type": msg.get("type"),
                    "content": msg.get("content", "")[:500],  # 限制长度
                    "tool_calls": msg.get("tool_calls"),
                    "index": msg.get("index"),
                }
                for msg in agent_response.get("all_messages", [])
            ],
            "tool_calls": agent_response.get("tool_calls", []),
        }

        # 记录到日志文件
        chat_logger.info(f"对话记录 - Thread: {user_id}")
        chat_logger.info(f"用户消息: {user_message}")
        chat_logger.info(
            f"Agent响应: {agent_response.get('final_answer', '')[:200]}..."
        )

        # 保存详细日志到单独文件
        detailed_log_file = get_detailed_log_path(user_id, timestamp)
        with open(detailed_log_file, "w", encoding="utf-8") as f:
            json.dump(log_entry, f, ensure_ascii=False, indent=2)

        chat_logger.info(f"详细日志已保存到: {detailed_log_file}")

    except Exception as e:
        chat_logger.error(f"记录日志时出错: {str(e)}")