86 lines
2.4 KiB
Python
86 lines
2.4 KiB
Python
import os
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from pathlib import Path
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import yaml
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from pydantic import BaseModel, computed_field, Field
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from dotenv import load_dotenv
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# 加载环境变量
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load_dotenv()
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class DatabaseConfig(BaseModel):
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driver: str = "mysql+pymysql"
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host: str
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port: int = 3306
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name: str
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username: str
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password: str
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params: str = "characterEncoding=utf8&serverTimezone=Asia/Shanghai&allowMultiQueries=true&rewriteBatchedStatements=true"
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@computed_field
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@property
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def url(self) -> str:
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"""生成数据库连接 URL"""
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return f"{self.driver}://{self.username}:{self.password}@{self.host}:{self.port}/{self.name}?{self.params}"
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class ServerConfig(BaseModel):
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port: int
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context_path: str = "/"
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class AppConfig(BaseModel):
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name: str = "wms_main"
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max_file_size: int = 100 * 1024 * 1024 # 100MB
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max_request_size: int = 1000 * 1024 * 1024 # 1000MB
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class Settings(BaseModel):
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"""全局配置模型"""
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app: AppConfig
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server: ServerConfig
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database: DatabaseConfig
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env: str = Field(default="development") # 当前环境名称
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@classmethod
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def from_env(cls):
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"""从环境变量加载配置"""
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env_name = os.getenv("ENV", "development")
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# 获取项目根目录
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base_dir = Path(__file__).resolve().parent.parent
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# 加载基础配置
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base_path = base_dir / "config" / "base.yaml"
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base_data = {}
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if base_path.exists():
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with open(base_path, "r") as f:
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base_data = yaml.safe_load(f) or {}
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# 加载环境特定配置
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env_path = base_dir / "config" / f"{env_name}.yaml"
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env_data = {}
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if env_path.exists():
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with open(env_path, "r") as f:
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env_data = yaml.safe_load(f) or {}
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# 深度合并配置
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def deep_merge(base: dict, update: dict) -> dict:
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"""递归合并两个字典"""
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for key, value in update.items():
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if isinstance(value, dict) and key in base and isinstance(base[key], dict):
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base[key] = deep_merge(base[key], value)
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else:
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base[key] = value
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return base
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# 合并配置
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merged_config = deep_merge(base_data, env_data)
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merged_config["env"] = env_name # 添加环境名称
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return cls(**merged_config)
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# 创建全局配置对象
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settings = Settings.from_env()
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