from pydantic_settings import BaseSettings
from pydantic import field_validator


class LoggingConfig(BaseSettings):
    """日志配置"""
    level: str = "INFO"
    file: str = "app.log"
    path: str = "logs"
    max_size: int = 10485760  # 10MB
    backup_count: int = 5
    format: str = "{time:YYYY-MM-DD HH:mm:ss.SSS} | {level} | {module}:{line} - {message}"
    console_format: str = "<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level}</level> | <cyan>{module}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>"

    @field_validator('level')
    def validate_log_level(cls, value):
        valid_levels = ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL']
        if value not in valid_levels:
            raise ValueError(f'日志级别必须是: {", ".join(valid_levels)}')
        return value

    @field_validator('max_size')
    def validate_max_log_size(cls, value):
        if value < 1048576:  # 1MB
            raise ValueError('日志文件最大大小至少为1MB')
        return value

    def to_string(self, indent: int = 0) -> str:
        """将配置转换为字符串"""
        indent_str = ' ' * indent
        result = []
        for field_name, field_value in self.__dict__.items():
            result.append(f"{indent_str}{field_name}: {field_value}")
        return '\n'.join(result)