805 lines
28 KiB
Python
805 lines
28 KiB
Python
# 使用基于时间戳的文件处理器，简单的轮转份数限制
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import logging
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import json
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import threading
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import time
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import structlog
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import tomlkit
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from pathlib import Path
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from typing import Callable, Optional
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from datetime import datetime, timedelta
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# 创建logs目录
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LOG_DIR = Path("logs")
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LOG_DIR.mkdir(exist_ok=True)
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# 全局handler实例，避免重复创建
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_file_handler = None
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_console_handler = None
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def get_file_handler():
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"""获取文件handler单例"""
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global _file_handler
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if _file_handler is None:
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# 确保日志目录存在
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LOG_DIR.mkdir(exist_ok=True)
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# 检查现有handler，避免重复创建
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root_logger = logging.getLogger()
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for handler in root_logger.handlers:
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if isinstance(handler, TimestampedFileHandler):
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_file_handler = handler
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return _file_handler
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# 使用基于时间戳的handler，简单的轮转份数限制
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_file_handler = TimestampedFileHandler(
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log_dir=LOG_DIR,
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max_bytes=5 * 1024 * 1024, # 5MB
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backup_count=30,
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encoding="utf-8",
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)
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# 设置文件handler的日志级别
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file_level = LOG_CONFIG.get("file_log_level", LOG_CONFIG.get("log_level", "INFO"))
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_file_handler.setLevel(getattr(logging, file_level.upper(), logging.INFO))
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return _file_handler
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def get_console_handler():
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"""获取控制台handler单例"""
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global _console_handler
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if _console_handler is None:
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_console_handler = logging.StreamHandler()
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# 设置控制台handler的日志级别
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console_level = LOG_CONFIG.get("console_log_level", LOG_CONFIG.get("log_level", "INFO"))
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_console_handler.setLevel(getattr(logging, console_level.upper(), logging.INFO))
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return _console_handler
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class TimestampedFileHandler(logging.Handler):
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"""基于时间戳的文件处理器，简单的轮转份数限制"""
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def __init__(self, log_dir, max_bytes=5 * 1024 * 1024, backup_count=30, encoding="utf-8"):
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super().__init__()
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self.log_dir = Path(log_dir)
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self.log_dir.mkdir(exist_ok=True)
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self.max_bytes = max_bytes
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self.backup_count = backup_count
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self.encoding = encoding
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self._lock = threading.Lock()
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# 当前活跃的日志文件
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self.current_file = None
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self.current_stream = None
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self._init_current_file()
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def _init_current_file(self):
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"""初始化当前日志文件"""
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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self.current_file = self.log_dir / f"app_{timestamp}.log.jsonl"
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self.current_stream = open(self.current_file, "a", encoding=self.encoding)
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def _should_rollover(self):
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"""检查是否需要轮转"""
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if self.current_file and self.current_file.exists():
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return self.current_file.stat().st_size >= self.max_bytes
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return False
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def _do_rollover(self):
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"""执行轮转：关闭当前文件，创建新文件"""
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if self.current_stream:
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self.current_stream.close()
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# 清理旧文件
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self._cleanup_old_files()
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# 创建新文件
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self._init_current_file()
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def _cleanup_old_files(self):
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"""清理旧的日志文件，保留指定数量"""
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try:
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# 获取所有日志文件
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log_files = list(self.log_dir.glob("app_*.log.jsonl"))
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# 按修改时间排序
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log_files.sort(key=lambda f: f.stat().st_mtime, reverse=True)
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# 删除超出数量限制的文件
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for old_file in log_files[self.backup_count :]:
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try:
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old_file.unlink()
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print(f"[日志清理] 删除旧文件: {old_file.name}")
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except Exception as e:
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print(f"[日志清理] 删除失败 {old_file}: {e}")
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except Exception as e:
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print(f"[日志清理] 清理过程出错: {e}")
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def emit(self, record):
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"""发出日志记录"""
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try:
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with self._lock:
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# 检查是否需要轮转
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if self._should_rollover():
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self._do_rollover()
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# 写入日志
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if self.current_stream:
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msg = self.format(record)
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self.current_stream.write(msg + "\n")
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self.current_stream.flush()
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except Exception:
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self.handleError(record)
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def close(self):
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"""关闭处理器"""
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with self._lock:
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if self.current_stream:
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self.current_stream.close()
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self.current_stream = None
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super().close()
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# 旧的轮转文件处理器已移除，现在使用基于时间戳的处理器
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def close_handlers():
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"""安全关闭所有handler"""
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global _file_handler, _console_handler
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if _file_handler:
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_file_handler.close()
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_file_handler = None
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if _console_handler:
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_console_handler.close()
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_console_handler = None
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def remove_duplicate_handlers(): # sourcery skip: for-append-to-extend, list-comprehension
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"""移除重复的handler，特别是文件handler"""
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root_logger = logging.getLogger()
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# 收集所有时间戳文件handler
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file_handlers = []
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for handler in root_logger.handlers[:]:
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if isinstance(handler, TimestampedFileHandler):
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file_handlers.append(handler)
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# 如果有多个文件handler，保留第一个，关闭其他的
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if len(file_handlers) > 1:
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print(f"[日志系统] 检测到 {len(file_handlers)} 个重复的文件handler，正在清理...")
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for i, handler in enumerate(file_handlers[1:], 1):
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print(f"[日志系统] 关闭重复的文件handler {i}")
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root_logger.removeHandler(handler)
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handler.close()
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# 更新全局引用
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global _file_handler
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_file_handler = file_handlers[0]
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# 读取日志配置
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def load_log_config(): # sourcery skip: use-contextlib-suppress
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"""从配置文件加载日志设置"""
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config_path = Path("config/bot_config.toml")
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default_config = {
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"date_style": "m-d H:i:s",
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"log_level_style": "lite",
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"color_text": "full",
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"log_level": "INFO", # 全局日志级别（向下兼容）
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"console_log_level": "INFO", # 控制台日志级别
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"file_log_level": "DEBUG", # 文件日志级别
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"suppress_libraries": ["faiss","httpx", "urllib3", "asyncio", "websockets", "httpcore", "requests", "peewee", "openai","uvicorn","jieba"],
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"library_log_levels": { "aiohttp": "WARNING"},
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}
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try:
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if config_path.exists():
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with open(config_path, "r", encoding="utf-8") as f:
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config = tomlkit.load(f)
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return config.get("log", default_config)
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except Exception as e:
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print(f"[日志系统] 加载日志配置失败: {e}")
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pass
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return default_config
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LOG_CONFIG = load_log_config()
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def get_timestamp_format():
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"""将配置中的日期格式转换为Python格式"""
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date_style = LOG_CONFIG.get("date_style", "Y-m-d H:i:s")
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# 转换PHP风格的日期格式到Python格式
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format_map = {
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"Y": "%Y", # 4位年份
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"m": "%m", # 月份（01-12）
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"d": "%d", # 日期（01-31）
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"H": "%H", # 小时（00-23）
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"i": "%M", # 分钟（00-59）
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"s": "%S", # 秒数（00-59）
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}
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python_format = date_style
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for php_char, python_char in format_map.items():
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python_format = python_format.replace(php_char, python_char)
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return python_format
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def configure_third_party_loggers():
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"""配置第三方库的日志级别"""
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# 设置根logger级别为所有handler中最低的级别，确保所有日志都能被捕获
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console_level = LOG_CONFIG.get("console_log_level", LOG_CONFIG.get("log_level", "INFO"))
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file_level = LOG_CONFIG.get("file_log_level", LOG_CONFIG.get("log_level", "INFO"))
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# 获取最低级别（DEBUG < INFO < WARNING < ERROR < CRITICAL）
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console_level_num = getattr(logging, console_level.upper(), logging.INFO)
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file_level_num = getattr(logging, file_level.upper(), logging.INFO)
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min_level = min(console_level_num, file_level_num)
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root_logger = logging.getLogger()
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root_logger.setLevel(min_level)
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# 完全屏蔽的库
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suppress_libraries = LOG_CONFIG.get("suppress_libraries", [])
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for lib_name in suppress_libraries:
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lib_logger = logging.getLogger(lib_name)
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lib_logger.setLevel(logging.CRITICAL + 1) # 设置为比CRITICAL更高的级别，基本屏蔽所有日志
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lib_logger.propagate = False # 阻止向上传播
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# 设置特定级别的库
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library_log_levels = LOG_CONFIG.get("library_log_levels", {})
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for lib_name, level_name in library_log_levels.items():
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lib_logger = logging.getLogger(lib_name)
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level = getattr(logging, level_name.upper(), logging.WARNING)
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lib_logger.setLevel(level)
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def reconfigure_existing_loggers():
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"""重新配置所有已存在的logger，解决加载顺序问题"""
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# 获取根logger
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root_logger = logging.getLogger()
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# 重新设置根logger的所有handler的格式化器
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for handler in root_logger.handlers:
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if isinstance(handler, TimestampedFileHandler):
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handler.setFormatter(file_formatter)
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elif isinstance(handler, logging.StreamHandler):
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handler.setFormatter(console_formatter)
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# 遍历所有已存在的logger并重新配置
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logger_dict = logging.getLogger().manager.loggerDict
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for name, logger_obj in logger_dict.items():
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if isinstance(logger_obj, logging.Logger):
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# 检查是否是第三方库logger
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suppress_libraries = LOG_CONFIG.get("suppress_libraries", [])
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library_log_levels = LOG_CONFIG.get("library_log_levels", {})
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# 如果在屏蔽列表中
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if any(name.startswith(lib) for lib in suppress_libraries):
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logger_obj.setLevel(logging.CRITICAL + 1)
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logger_obj.propagate = False
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continue
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# 如果在特定级别设置中
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for lib_name, level_name in library_log_levels.items():
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if name.startswith(lib_name):
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level = getattr(logging, level_name.upper(), logging.WARNING)
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logger_obj.setLevel(level)
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break
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# 强制清除并重新设置所有handler
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original_handlers = logger_obj.handlers[:]
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for handler in original_handlers:
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# 安全关闭handler
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if hasattr(handler, "close"):
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handler.close()
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logger_obj.removeHandler(handler)
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# 如果logger没有handler，让它使用根logger的handler（propagate=True）
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if not logger_obj.handlers:
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logger_obj.propagate = True
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# 如果logger有自己的handler，重新配置它们（避免重复创建文件handler）
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for handler in original_handlers:
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if isinstance(handler, TimestampedFileHandler):
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# 不重新添加，让它使用根logger的文件handler
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continue
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elif isinstance(handler, logging.StreamHandler):
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handler.setFormatter(console_formatter)
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logger_obj.addHandler(handler)
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# 定义模块颜色映射
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MODULE_COLORS = {
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# 核心模块
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"main": "\033[1;97m", # 亮白色+粗体 (主程序)
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"api": "\033[92m", # 亮绿色
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"emoji": "\033[38;5;214m", # 橙黄色，偏向橙色但与replyer和action_manager不同
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"chat": "\033[92m", # 亮蓝色
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"config": "\033[93m", # 亮黄色
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"common": "\033[95m", # 亮紫色
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"tools": "\033[96m", # 亮青色
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"lpmm": "\033[96m",
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"plugin_system": "\033[91m", # 亮红色
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"person_info": "\033[32m", # 绿色
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"individuality": "\033[94m", # 显眼的亮蓝色
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"manager": "\033[35m", # 紫色
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"llm_models": "\033[36m", # 青色
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"remote": "\033[38;5;242m", # 深灰色，更不显眼
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"planner": "\033[36m",
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"memory": "\033[38;5;117m", # 天蓝色
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"hfc": "\033[38;5;81m", # 稍微暗一些的青色，保持可读
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"action_manager": "\033[38;5;208m", # 橙色，不与replyer重复
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# 关系系统
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"relation": "\033[38;5;139m", # 柔和的紫色，不刺眼
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# 聊天相关模块
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"normal_chat": "\033[38;5;81m", # 亮蓝绿色
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"heartflow": "\033[38;5;175m", # 柔和的粉色，不显眼但保持粉色系
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"sub_heartflow": "\033[38;5;207m", # 粉紫色
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"subheartflow_manager": "\033[38;5;201m", # 深粉色
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"background_tasks": "\033[38;5;240m", # 灰色
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"chat_message": "\033[38;5;45m", # 青色
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"chat_stream": "\033[38;5;51m", # 亮青色
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"sender": "\033[38;5;67m", # 稍微暗一些的蓝色，不显眼
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"message_storage": "\033[38;5;33m", # 深蓝色
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"expressor": "\033[38;5;166m", # 橙色
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# 专注聊天模块
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"replyer": "\033[38;5;166m", # 橙色
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"memory_activator": "\033[38;5;117m", # 天蓝色
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# 插件系统
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"plugins": "\033[31m", # 红色
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"plugin_api": "\033[33m", # 黄色
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"plugin_manager": "\033[38;5;208m", # 红色
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"base_plugin": "\033[38;5;202m", # 橙红色
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"send_api": "\033[38;5;208m", # 橙色
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"base_command": "\033[38;5;208m", # 橙色
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"component_registry": "\033[38;5;214m", # 橙黄色
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"stream_api": "\033[38;5;220m", # 黄色
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"config_api": "\033[38;5;226m", # 亮黄色
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"heartflow_api": "\033[38;5;154m", # 黄绿色
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"action_apis": "\033[38;5;118m", # 绿色
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"independent_apis": "\033[38;5;82m", # 绿色
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"llm_api": "\033[38;5;46m", # 亮绿色
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"database_api": "\033[38;5;10m", # 绿色
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"utils_api": "\033[38;5;14m", # 青色
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"message_api": "\033[38;5;6m", # 青色
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# 管理器模块
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"async_task_manager": "\033[38;5;129m", # 紫色
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"mood": "\033[38;5;135m", # 紫红色
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"local_storage": "\033[38;5;141m", # 紫色
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"willing": "\033[38;5;147m", # 浅紫色
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# 工具模块
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"tool_use": "\033[38;5;172m", # 橙褐色
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"tool_executor": "\033[38;5;172m", # 橙褐色
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"base_tool": "\033[38;5;178m", # 金黄色
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# 工具和实用模块
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"prompt_build": "\033[38;5;105m", # 紫色
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"chat_utils": "\033[38;5;111m", # 蓝色
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"chat_image": "\033[38;5;117m", # 浅蓝色
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"maibot_statistic": "\033[38;5;129m", # 紫色
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# 特殊功能插件
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"mute_plugin": "\033[38;5;240m", # 灰色
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"core_actions": "\033[38;5;117m", # 深红色
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"tts_action": "\033[38;5;58m", # 深黄色
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"doubao_pic_plugin": "\033[38;5;64m", # 深绿色
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# Action组件
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"no_reply_action": "\033[38;5;214m", # 亮橙色，显眼但不像警告
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"reply_action": "\033[38;5;46m", # 亮绿色
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"base_action": "\033[38;5;250m", # 浅灰色
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# 数据库和消息
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"database_model": "\033[38;5;94m", # 橙褐色
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"maim_message": "\033[38;5;140m", # 紫褐色
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# 日志系统
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"logger": "\033[38;5;8m", # 深灰色
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"confirm": "\033[1;93m", # 黄色+粗体
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# 模型相关
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"model_utils": "\033[38;5;164m", # 紫红色
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"relationship_fetcher": "\033[38;5;170m", # 浅紫色
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"relationship_builder": "\033[38;5;93m", # 浅蓝色
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#s4u
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"context_web_api": "\033[38;5;240m", # 深灰色
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"S4U_chat": "\033[92m", # 深灰色
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}
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# 定义模块别名映射 - 将真实的logger名称映射到显示的别名
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MODULE_ALIASES = {
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# 示例映射
|
||
"individuality": "人格特质",
|
||
"emoji": "表情包",
|
||
"no_reply_action": "摸鱼",
|
||
"reply_action": "回复",
|
||
"action_manager": "动作",
|
||
"memory_activator": "记忆",
|
||
"tool_use": "工具",
|
||
"expressor": "表达方式",
|
||
"database_model": "数据库",
|
||
"mood": "情绪",
|
||
"memory": "记忆",
|
||
"tool_executor": "工具",
|
||
"hfc": "聊天节奏",
|
||
"chat": "所见",
|
||
"plugin_manager": "插件",
|
||
"relationship_builder": "关系",
|
||
"llm_models": "模型",
|
||
"person_info": "人物",
|
||
"chat_stream": "聊天流",
|
||
"planner": "规划器",
|
||
"replyer": "言语",
|
||
"config": "配置",
|
||
"main": "主程序",
|
||
}
|
||
|
||
RESET_COLOR = "\033[0m"
|
||
|
||
|
||
class ModuleColoredConsoleRenderer:
|
||
"""自定义控制台渲染器，为不同模块提供不同颜色"""
|
||
|
||
def __init__(self, colors=True):
|
||
# sourcery skip: merge-duplicate-blocks, remove-redundant-if
|
||
self._colors = colors
|
||
self._config = LOG_CONFIG
|
||
|
||
# 日志级别颜色
|
||
self._level_colors = {
|
||
"debug": "\033[38;5;208m", # 橙色
|
||
"info": "\033[38;5;117m", # 天蓝色
|
||
"success": "\033[32m", # 绿色
|
||
"warning": "\033[33m", # 黄色
|
||
"error": "\033[31m", # 红色
|
||
"critical": "\033[35m", # 紫色
|
||
}
|
||
|
||
# 根据配置决定是否启用颜色
|
||
color_text = self._config.get("color_text", "title")
|
||
if color_text == "none":
|
||
self._colors = False
|
||
elif color_text == "title":
|
||
self._enable_module_colors = True
|
||
self._enable_level_colors = False
|
||
self._enable_full_content_colors = False
|
||
elif color_text == "full":
|
||
self._enable_module_colors = True
|
||
self._enable_level_colors = True
|
||
self._enable_full_content_colors = True
|
||
else:
|
||
self._enable_module_colors = True
|
||
self._enable_level_colors = False
|
||
self._enable_full_content_colors = False
|
||
|
||
def __call__(self, logger, method_name, event_dict):
|
||
# sourcery skip: merge-duplicate-blocks
|
||
"""渲染日志消息"""
|
||
# 获取基本信息
|
||
timestamp = event_dict.get("timestamp", "")
|
||
level = event_dict.get("level", "info")
|
||
logger_name = event_dict.get("logger_name", "")
|
||
event = event_dict.get("event", "")
|
||
|
||
# 构建输出
|
||
parts = []
|
||
|
||
# 日志级别样式配置
|
||
log_level_style = self._config.get("log_level_style", "lite")
|
||
level_color = self._level_colors.get(level.lower(), "") if self._colors else ""
|
||
|
||
# 时间戳（lite模式下按级别着色）
|
||
if timestamp:
|
||
if log_level_style == "lite" and level_color:
|
||
timestamp_part = f"{level_color}{timestamp}{RESET_COLOR}"
|
||
else:
|
||
timestamp_part = timestamp
|
||
parts.append(timestamp_part)
|
||
|
||
# 日志级别显示（根据配置样式）
|
||
if log_level_style == "full":
|
||
# 显示完整级别名并着色
|
||
level_text = level.upper()
|
||
if level_color:
|
||
level_part = f"{level_color}[{level_text:>8}]{RESET_COLOR}"
|
||
else:
|
||
level_part = f"[{level_text:>8}]"
|
||
parts.append(level_part)
|
||
|
||
elif log_level_style == "compact":
|
||
# 只显示首字母并着色
|
||
level_text = level.upper()[0]
|
||
if level_color:
|
||
level_part = f"{level_color}[{level_text:>8}]{RESET_COLOR}"
|
||
else:
|
||
level_part = f"[{level_text:>8}]"
|
||
parts.append(level_part)
|
||
|
||
# lite模式不显示级别，只给时间戳着色
|
||
|
||
# 获取模块颜色，用于full模式下的整体着色
|
||
module_color = ""
|
||
if self._colors and self._enable_module_colors and logger_name:
|
||
module_color = MODULE_COLORS.get(logger_name, "")
|
||
|
||
# 模块名称（带颜色和别名支持）
|
||
if logger_name:
|
||
# 获取别名，如果没有别名则使用原名称
|
||
display_name = MODULE_ALIASES.get(logger_name, logger_name)
|
||
|
||
if self._colors and self._enable_module_colors:
|
||
if module_color:
|
||
module_part = f"{module_color}[{display_name}]{RESET_COLOR}"
|
||
else:
|
||
module_part = f"[{display_name}]"
|
||
else:
|
||
module_part = f"[{display_name}]"
|
||
parts.append(module_part)
|
||
|
||
# 消息内容（确保转换为字符串）
|
||
event_content = ""
|
||
if isinstance(event, str):
|
||
event_content = event
|
||
elif isinstance(event, dict):
|
||
# 如果是字典，格式化为可读字符串
|
||
try:
|
||
event_content = json.dumps(event, ensure_ascii=False, indent=None)
|
||
except (TypeError, ValueError):
|
||
event_content = str(event)
|
||
else:
|
||
# 其他类型直接转换为字符串
|
||
event_content = str(event)
|
||
|
||
# 在full模式下为消息内容着色
|
||
if self._colors and self._enable_full_content_colors and module_color:
|
||
event_content = f"{module_color}{event_content}{RESET_COLOR}"
|
||
|
||
parts.append(event_content)
|
||
|
||
# 处理其他字段
|
||
extras = []
|
||
for key, value in event_dict.items():
|
||
if key not in ("timestamp", "level", "logger_name", "event"):
|
||
# 确保值也转换为字符串
|
||
if isinstance(value, (dict, list)):
|
||
try:
|
||
value_str = json.dumps(value, ensure_ascii=False, indent=None)
|
||
except (TypeError, ValueError):
|
||
value_str = str(value)
|
||
else:
|
||
value_str = str(value)
|
||
|
||
# 在full模式下为额外字段着色
|
||
extra_field = f"{key}={value_str}"
|
||
if self._colors and self._enable_full_content_colors and module_color:
|
||
extra_field = f"{module_color}{extra_field}{RESET_COLOR}"
|
||
|
||
extras.append(extra_field)
|
||
|
||
if extras:
|
||
parts.append(" ".join(extras))
|
||
|
||
return " ".join(parts)
|
||
|
||
|
||
# 配置标准logging以支持文件输出和压缩
|
||
# 使用单例handler避免重复创建
|
||
file_handler = get_file_handler()
|
||
console_handler = get_console_handler()
|
||
|
||
logging.basicConfig(
|
||
level=logging.INFO,
|
||
format="%(message)s",
|
||
handlers=[file_handler, console_handler],
|
||
)
|
||
|
||
|
||
def configure_structlog():
|
||
"""配置structlog"""
|
||
structlog.configure(
|
||
processors=[
|
||
structlog.contextvars.merge_contextvars,
|
||
structlog.processors.add_log_level,
|
||
structlog.processors.StackInfoRenderer(),
|
||
structlog.dev.set_exc_info,
|
||
structlog.processors.TimeStamper(fmt=get_timestamp_format(), utc=False),
|
||
# 根据输出类型选择不同的渲染器
|
||
structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
|
||
],
|
||
wrapper_class=structlog.stdlib.BoundLogger,
|
||
context_class=dict,
|
||
logger_factory=structlog.stdlib.LoggerFactory(),
|
||
cache_logger_on_first_use=True,
|
||
)
|
||
|
||
|
||
# 配置structlog
|
||
configure_structlog()
|
||
|
||
# 为文件输出配置JSON格式
|
||
file_formatter = structlog.stdlib.ProcessorFormatter(
|
||
processor=structlog.processors.JSONRenderer(ensure_ascii=False),
|
||
foreign_pre_chain=[
|
||
structlog.stdlib.add_logger_name,
|
||
structlog.stdlib.add_log_level,
|
||
structlog.stdlib.PositionalArgumentsFormatter(),
|
||
structlog.processors.TimeStamper(fmt="iso"),
|
||
structlog.processors.StackInfoRenderer(),
|
||
structlog.processors.format_exc_info,
|
||
],
|
||
)
|
||
|
||
# 为控制台输出配置可读格式
|
||
console_formatter = structlog.stdlib.ProcessorFormatter(
|
||
processor=ModuleColoredConsoleRenderer(colors=True),
|
||
foreign_pre_chain=[
|
||
structlog.stdlib.add_logger_name,
|
||
structlog.stdlib.add_log_level,
|
||
structlog.stdlib.PositionalArgumentsFormatter(),
|
||
structlog.processors.TimeStamper(fmt=get_timestamp_format(), utc=False),
|
||
structlog.processors.StackInfoRenderer(),
|
||
structlog.processors.format_exc_info,
|
||
],
|
||
)
|
||
|
||
# 获取根logger并配置格式化器
|
||
root_logger = logging.getLogger()
|
||
for handler in root_logger.handlers:
|
||
if isinstance(handler, TimestampedFileHandler):
|
||
handler.setFormatter(file_formatter)
|
||
else:
|
||
handler.setFormatter(console_formatter)
|
||
|
||
|
||
# 立即配置日志系统，确保最早期的日志也使用正确格式
|
||
def _immediate_setup():
|
||
"""立即设置日志系统，在模块导入时就生效"""
|
||
# 重新配置structlog
|
||
configure_structlog()
|
||
|
||
# 清除所有已有的handler，重新配置
|
||
root_logger = logging.getLogger()
|
||
for handler in root_logger.handlers[:]:
|
||
root_logger.removeHandler(handler)
|
||
|
||
# 使用单例handler避免重复创建
|
||
file_handler = get_file_handler()
|
||
console_handler = get_console_handler()
|
||
|
||
# 重新添加配置好的handler
|
||
root_logger.addHandler(file_handler)
|
||
root_logger.addHandler(console_handler)
|
||
|
||
# 设置格式化器
|
||
file_handler.setFormatter(file_formatter)
|
||
console_handler.setFormatter(console_formatter)
|
||
|
||
# 清理重复的handler
|
||
remove_duplicate_handlers()
|
||
|
||
# 配置第三方库日志
|
||
configure_third_party_loggers()
|
||
|
||
# 重新配置所有已存在的logger
|
||
reconfigure_existing_loggers()
|
||
|
||
|
||
# 立即执行配置
|
||
_immediate_setup()
|
||
|
||
raw_logger: structlog.stdlib.BoundLogger = structlog.get_logger()
|
||
|
||
binds: dict[str, Callable] = {}
|
||
|
||
|
||
def get_logger(name: Optional[str]) -> structlog.stdlib.BoundLogger:
|
||
"""获取logger实例，支持按名称绑定"""
|
||
if name is None:
|
||
return raw_logger
|
||
logger = binds.get(name) # type: ignore
|
||
if logger is None:
|
||
logger: structlog.stdlib.BoundLogger = structlog.get_logger(name).bind(logger_name=name)
|
||
binds[name] = logger
|
||
return logger
|
||
|
||
|
||
def initialize_logging():
|
||
"""手动初始化日志系统，确保所有logger都使用正确的配置
|
||
|
||
在应用程序的早期调用此函数，确保所有模块都使用统一的日志配置
|
||
"""
|
||
global LOG_CONFIG
|
||
LOG_CONFIG = load_log_config()
|
||
# print(LOG_CONFIG)
|
||
configure_third_party_loggers()
|
||
reconfigure_existing_loggers()
|
||
|
||
# 启动日志清理任务
|
||
start_log_cleanup_task()
|
||
|
||
# 输出初始化信息
|
||
logger = get_logger("logger")
|
||
console_level = LOG_CONFIG.get("console_log_level", LOG_CONFIG.get("log_level", "INFO"))
|
||
file_level = LOG_CONFIG.get("file_log_level", LOG_CONFIG.get("log_level", "INFO"))
|
||
|
||
logger.info("日志系统已初始化:")
|
||
logger.info(f" - 控制台级别: {console_level}")
|
||
logger.info(f" - 文件级别: {file_level}")
|
||
logger.info(" - 轮转份数: 30个文件|自动清理: 30天前的日志")
|
||
|
||
|
||
def cleanup_old_logs():
|
||
"""清理过期的日志文件"""
|
||
try:
|
||
cleanup_days = 30 # 硬编码30天
|
||
cutoff_date = datetime.now() - timedelta(days=cleanup_days)
|
||
deleted_count = 0
|
||
deleted_size = 0
|
||
|
||
# 遍历日志目录
|
||
for log_file in LOG_DIR.glob("*.log*"):
|
||
try:
|
||
file_time = datetime.fromtimestamp(log_file.stat().st_mtime)
|
||
if file_time < cutoff_date:
|
||
file_size = log_file.stat().st_size
|
||
log_file.unlink()
|
||
deleted_count += 1
|
||
deleted_size += file_size
|
||
except Exception as e:
|
||
logger = get_logger("logger")
|
||
logger.warning(f"清理日志文件 {log_file} 时出错: {e}")
|
||
|
||
if deleted_count > 0:
|
||
logger = get_logger("logger")
|
||
logger.info(f"清理了 {deleted_count} 个过期日志文件，释放空间 {deleted_size / 1024 / 1024:.2f} MB")
|
||
|
||
except Exception as e:
|
||
logger = get_logger("logger")
|
||
logger.error(f"清理旧日志文件时出错: {e}")
|
||
|
||
|
||
def start_log_cleanup_task():
|
||
"""启动日志清理任务"""
|
||
|
||
def cleanup_task():
|
||
while True:
|
||
time.sleep(24 * 60 * 60) # 每24小时执行一次
|
||
cleanup_old_logs()
|
||
|
||
cleanup_thread = threading.Thread(target=cleanup_task, daemon=True)
|
||
cleanup_thread.start()
|
||
|
||
logger = get_logger("logger")
|
||
logger.info("已启动日志清理任务，将自动清理30天前的日志文件（轮转份数限制: 30个文件）")
|
||
|
||
|
||
def shutdown_logging():
|
||
"""优雅关闭日志系统，释放所有文件句柄"""
|
||
logger = get_logger("logger")
|
||
logger.info("正在关闭日志系统...")
|
||
|
||
# 关闭所有handler
|
||
root_logger = logging.getLogger()
|
||
for handler in root_logger.handlers[:]:
|
||
if hasattr(handler, "close"):
|
||
handler.close()
|
||
root_logger.removeHandler(handler)
|
||
|
||
# 关闭全局handler
|
||
close_handlers()
|
||
|
||
# 关闭所有其他logger的handler
|
||
logger_dict = logging.getLogger().manager.loggerDict
|
||
for _name, logger_obj in logger_dict.items():
|
||
if isinstance(logger_obj, logging.Logger):
|
||
for handler in logger_obj.handlers[:]:
|
||
if hasattr(handler, "close"):
|
||
handler.close()
|
||
logger_obj.removeHandler(handler)
|
||
|
||
logger.info("日志系统已关闭")
|