mirror of https://github.com/Mai-with-u/MaiBot.git
580 lines
19 KiB
Python
580 lines
19 KiB
Python
import logging
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import logging.handlers
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from pathlib import Path
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from typing import Callable, Optional
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import json
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import structlog
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import toml
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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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# 读取日志配置
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def load_log_config():
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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": "Y-m-d H:i:s",
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"log_level_style": "lite",
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"color_text": "title",
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"log_level": "INFO",
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"suppress_libraries": [],
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"library_log_levels": {},
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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 = toml.load(f)
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return config.get("log", default_config)
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except Exception:
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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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# 设置全局日志级别
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global_log_level = LOG_CONFIG.get("log_level", "INFO")
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root_logger = logging.getLogger()
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root_logger.setLevel(getattr(logging, global_log_level.upper(), logging.INFO))
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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, logging.handlers.RotatingFileHandler):
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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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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
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for handler in original_handlers:
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if isinstance(handler, logging.handlers.RotatingFileHandler):
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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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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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"api": "\033[92m", # 亮绿色
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"emoji": "\033[92m", # 亮绿色
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"chat": "\033[94m", # 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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"experimental": "\033[97m", # 亮白色
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"person_info": "\033[32m", # 绿色
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"individuality": "\033[34m", # 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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"plugins": "\033[31m", # 红色
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"plugin_api": "\033[33m", # 黄色
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"remote": "\033[38;5;93m", # 紫蓝色
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"planner": "\033[31m]",
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}
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RESET_COLOR = "\033[0m"
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class ModuleColoredConsoleRenderer:
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"""自定义控制台渲染器，为不同模块提供不同颜色"""
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def __init__(self, colors=True):
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self._colors = colors
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self._config = LOG_CONFIG
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# 日志级别颜色
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self._level_colors = {
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"debug": "\033[38;5;208m", # 橙色
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"info": "\033[34m", # 蓝色
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"success": "\033[32m", # 绿色
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"warning": "\033[33m", # 黄色
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"error": "\033[31m", # 红色
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"critical": "\033[35m", # 紫色
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}
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# 根据配置决定是否启用颜色
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color_text = self._config.get("color_text", "title")
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if color_text == "none":
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self._colors = False
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elif color_text == "title":
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self._enable_module_colors = True
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self._enable_level_colors = False
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elif color_text == "full":
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self._enable_module_colors = True
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self._enable_level_colors = True
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else:
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self._enable_module_colors = True
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self._enable_level_colors = False
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def __call__(self, logger, method_name, event_dict):
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"""渲染日志消息"""
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# 获取基本信息
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timestamp = event_dict.get("timestamp", "")
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level = event_dict.get("level", "info")
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logger_name = event_dict.get("logger_name", "")
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event = event_dict.get("event", "")
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# 构建输出
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parts = []
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# 日志级别样式配置
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log_level_style = self._config.get("log_level_style", "lite")
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level_color = self._level_colors.get(level.lower(), "") if self._colors else ""
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# 时间戳（lite模式下按级别着色）
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if timestamp:
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if log_level_style == "lite" and level_color:
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timestamp_part = f"{level_color}{timestamp}{RESET_COLOR}"
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else:
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timestamp_part = timestamp
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parts.append(timestamp_part)
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# 日志级别显示（根据配置样式）
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if log_level_style == "full":
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# 显示完整级别名并着色
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level_text = level.upper()
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if level_color:
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level_part = f"{level_color}[{level_text:>8}]{RESET_COLOR}"
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else:
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level_part = f"[{level_text:>8}]"
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parts.append(level_part)
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elif log_level_style == "compact":
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# 只显示首字母并着色
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level_text = level.upper()[0]
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if level_color:
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level_part = f"{level_color}[{level_text:>8}]{RESET_COLOR}"
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else:
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level_part = f"[{level_text:>8}]"
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parts.append(level_part)
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# lite模式不显示级别，只给时间戳着色
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# 模块名称（带颜色）
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if logger_name:
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if self._colors and self._enable_module_colors:
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module_color = MODULE_COLORS.get(logger_name, "")
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if module_color:
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module_part = f"{module_color}[{logger_name}]{RESET_COLOR}"
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else:
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module_part = f"[{logger_name}]"
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else:
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module_part = f"[{logger_name}]"
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parts.append(module_part)
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# 消息内容（确保转换为字符串）
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if isinstance(event, str):
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parts.append(event)
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elif isinstance(event, dict):
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# 如果是字典，格式化为可读字符串
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try:
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parts.append(json.dumps(event, ensure_ascii=False, indent=None))
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except (TypeError, ValueError):
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parts.append(str(event))
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else:
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# 其他类型直接转换为字符串
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parts.append(str(event))
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# 处理其他字段
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extras = []
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for key, value in event_dict.items():
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if key not in ("timestamp", "level", "logger_name", "event"):
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# 确保值也转换为字符串
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if isinstance(value, (dict, list)):
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try:
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value_str = json.dumps(value, ensure_ascii=False, indent=None)
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except (TypeError, ValueError):
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value_str = str(value)
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else:
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value_str = str(value)
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extras.append(f"{key}={value_str}")
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if extras:
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parts.append(" ".join(extras))
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return " ".join(parts)
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# 配置标准logging以支持文件输出和压缩
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logging.basicConfig(
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level=logging.INFO,
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format="%(message)s",
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handlers=[
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# 带压缩的轮转文件处理器
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logging.handlers.RotatingFileHandler(
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LOG_DIR / "app.log.jsonl",
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maxBytes=10 * 1024 * 1024, # 10MB
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backupCount=5,
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encoding="utf-8",
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),
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# 控制台处理器
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logging.StreamHandler(),
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],
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)
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def configure_structlog():
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"""配置structlog"""
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structlog.configure(
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processors=[
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structlog.contextvars.merge_contextvars,
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structlog.processors.add_log_level,
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structlog.processors.StackInfoRenderer(),
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structlog.dev.set_exc_info,
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structlog.processors.TimeStamper(fmt=get_timestamp_format(), utc=False),
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# 根据输出类型选择不同的渲染器
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structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
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],
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wrapper_class=structlog.stdlib.BoundLogger,
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context_class=dict,
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logger_factory=structlog.stdlib.LoggerFactory(),
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cache_logger_on_first_use=True,
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)
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# 配置structlog
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configure_structlog()
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# 为文件输出配置JSON格式
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file_formatter = structlog.stdlib.ProcessorFormatter(
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processor=structlog.processors.JSONRenderer(ensure_ascii=False),
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foreign_pre_chain=[
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structlog.stdlib.add_logger_name,
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structlog.stdlib.add_log_level,
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structlog.stdlib.PositionalArgumentsFormatter(),
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structlog.processors.TimeStamper(fmt="iso"),
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structlog.processors.StackInfoRenderer(),
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structlog.processors.format_exc_info,
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],
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)
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# 为控制台输出配置可读格式
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console_formatter = structlog.stdlib.ProcessorFormatter(
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processor=ModuleColoredConsoleRenderer(colors=True),
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foreign_pre_chain=[
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structlog.stdlib.add_logger_name,
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structlog.stdlib.add_log_level,
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structlog.stdlib.PositionalArgumentsFormatter(),
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structlog.processors.TimeStamper(fmt=get_timestamp_format(), utc=False),
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structlog.processors.StackInfoRenderer(),
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structlog.processors.format_exc_info,
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],
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)
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# 获取根logger并配置格式化器
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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, logging.handlers.RotatingFileHandler):
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handler.setFormatter(file_formatter)
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else:
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handler.setFormatter(console_formatter)
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# 立即配置日志系统，确保最早期的日志也使用正确格式
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def _immediate_setup():
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"""立即设置日志系统，在模块导入时就生效"""
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# 重新配置structlog
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configure_structlog()
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# 清除所有已有的handler，重新配置
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root_logger = logging.getLogger()
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for handler in root_logger.handlers[:]:
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root_logger.removeHandler(handler)
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# 重新添加配置好的handler
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root_logger.addHandler(
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logging.handlers.RotatingFileHandler(
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LOG_DIR / "app.log.jsonl",
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maxBytes=10 * 1024 * 1024,
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backupCount=5,
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encoding="utf-8",
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)
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)
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root_logger.addHandler(logging.StreamHandler())
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# 设置格式化器
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for handler in root_logger.handlers:
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if isinstance(handler, logging.handlers.RotatingFileHandler):
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handler.setFormatter(file_formatter)
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else:
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handler.setFormatter(console_formatter)
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# 配置第三方库日志
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configure_third_party_loggers()
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# 重新配置所有已存在的logger
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reconfigure_existing_loggers()
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# 立即执行配置
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_immediate_setup()
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raw_logger = structlog.get_logger()
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binds: dict[str, Callable] = {}
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def get_logger(name: Optional[str]):
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"""获取logger实例，支持按名称绑定"""
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if name is None:
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return raw_logger
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logger = binds.get(name)
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if logger is None:
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binds[name] = logger = structlog.get_logger(name).bind(logger_name=name)
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return logger
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def configure_logging(
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level: str = "INFO",
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max_bytes: int = 10 * 1024 * 1024,
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backup_count: int = 5,
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log_dir: str = "logs",
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):
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"""动态配置日志参数"""
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log_path = Path(log_dir)
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log_path.mkdir(exist_ok=True)
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# 更新文件handler配置
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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, logging.handlers.RotatingFileHandler):
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handler.maxBytes = max_bytes
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handler.backupCount = backup_count
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handler.baseFilename = str(log_path / "app.log.jsonl")
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# 设置日志级别
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root_logger.setLevel(getattr(logging, level.upper()))
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def set_module_color(module_name: str, color_code: str):
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"""为指定模块设置颜色
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Args:
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module_name: 模块名称
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color_code: ANSI颜色代码，例如 '\033[92m' 表示亮绿色
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"""
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MODULE_COLORS[module_name] = color_code
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def get_module_colors():
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"""获取当前模块颜色配置"""
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return MODULE_COLORS.copy()
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def reload_log_config():
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"""重新加载日志配置"""
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global LOG_CONFIG
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LOG_CONFIG = load_log_config()
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# 重新配置console渲染器
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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, logging.StreamHandler) and not isinstance(handler, logging.handlers.RotatingFileHandler):
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# 这是控制台处理器，更新其格式化器
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handler.setFormatter(
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structlog.stdlib.ProcessorFormatter(
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processor=ModuleColoredConsoleRenderer(colors=True),
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foreign_pre_chain=[
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structlog.stdlib.add_logger_name,
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structlog.stdlib.add_log_level,
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structlog.stdlib.PositionalArgumentsFormatter(),
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structlog.processors.TimeStamper(fmt=get_timestamp_format(), utc=False),
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structlog.processors.StackInfoRenderer(),
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structlog.processors.format_exc_info,
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],
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)
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)
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# 重新配置第三方库日志
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configure_third_party_loggers()
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# 重新配置所有已存在的logger
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reconfigure_existing_loggers()
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def get_log_config():
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"""获取当前日志配置"""
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return LOG_CONFIG.copy()
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def force_reset_all_loggers():
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"""强制重置所有logger，解决格式不一致问题"""
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# 清除所有现有的logger配置
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logging.getLogger().manager.loggerDict.clear()
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# 重新配置根logger
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root_logger = logging.getLogger()
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root_logger.handlers.clear()
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# 重新添加我们的handler
|
||
root_logger.addHandler(
|
||
logging.handlers.RotatingFileHandler(
|
||
LOG_DIR / "app.log.jsonl",
|
||
maxBytes=10 * 1024 * 1024,
|
||
backupCount=5,
|
||
encoding="utf-8",
|
||
)
|
||
)
|
||
root_logger.addHandler(logging.StreamHandler())
|
||
|
||
# 设置格式化器
|
||
for handler in root_logger.handlers:
|
||
if isinstance(handler, logging.handlers.RotatingFileHandler):
|
||
handler.setFormatter(file_formatter)
|
||
else:
|
||
handler.setFormatter(console_formatter)
|
||
|
||
# 设置级别
|
||
global_log_level = LOG_CONFIG.get("log_level", "INFO")
|
||
root_logger.setLevel(getattr(logging, global_log_level.upper(), logging.INFO))
|
||
|
||
|
||
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()
|
||
configure_third_party_loggers()
|
||
reconfigure_existing_loggers()
|
||
|
||
# 输出初始化信息
|
||
logger = get_logger("logger")
|
||
log_level = LOG_CONFIG.get("log_level", "INFO")
|
||
logger.info(f"日志系统已重新初始化，日志级别: {log_level}，所有logger已统一配置")
|
||
|
||
|
||
def force_initialize_logging():
|
||
"""强制重新初始化整个日志系统，解决格式不一致问题"""
|
||
global LOG_CONFIG
|
||
LOG_CONFIG = load_log_config()
|
||
|
||
# 强制重置所有logger
|
||
force_reset_all_loggers()
|
||
|
||
# 重新配置structlog
|
||
configure_structlog()
|
||
|
||
# 配置第三方库
|
||
configure_third_party_loggers()
|
||
|
||
# 输出初始化信息
|
||
logger = get_logger("logger")
|
||
log_level = LOG_CONFIG.get("log_level", "INFO")
|
||
logger.info(f"日志系统已强制重新初始化，日志级别: {log_level}，所有logger格式已统一")
|
||
|
||
|
||
def show_module_colors():
|
||
"""显示所有模块的颜色效果"""
|
||
get_logger("demo")
|
||
print("\n=== 模块颜色展示 ===")
|
||
|
||
for module_name, _color_code in MODULE_COLORS.items():
|
||
# 临时创建一个该模块的logger来展示颜色
|
||
demo_logger = structlog.get_logger(module_name).bind(logger_name=module_name)
|
||
demo_logger.info(f"这是 {module_name} 模块的颜色效果")
|
||
|
||
print("=== 颜色展示结束 ===\n")
|
||
|
||
|
||
def format_json_for_logging(data, indent=2, ensure_ascii=False):
|
||
"""将JSON数据格式化为可读字符串
|
||
|
||
Args:
|
||
data: 要格式化的数据（字典、列表等）
|
||
indent: 缩进空格数
|
||
ensure_ascii: 是否确保ASCII编码
|
||
|
||
Returns:
|
||
str: 格式化后的JSON字符串
|
||
"""
|
||
if isinstance(data, str):
|
||
# 如果是JSON字符串，先解析再格式化
|
||
parsed_data = json.loads(data)
|
||
return json.dumps(parsed_data, indent=indent, ensure_ascii=ensure_ascii)
|
||
else:
|
||
# 如果是对象，直接格式化
|
||
return json.dumps(data, indent=indent, ensure_ascii=ensure_ascii)
|