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四叶的配置管理工具 — 基于 Pydantic 的配置加载器,上下文管理器自动读写

Project description

FovesConfig

基于 Pydantic 的配置管理工具,上下文管理器自动读写 JSON 配置文件。

可使用 pip 安装或下载源码使用:

pip install FovesConfig

项目主页: https://github.com/Foves7017/FovesLib

ConfigLoader

泛型配置加载器。把你的配置定义成一个 Pydantic 模型,然后用 ConfigLoader 包裹它——进入上下文自动读取 JSON,退出时自动写回,省去所有手工序列化的麻烦。

基本用法

from pydantic import BaseModel
from FovesConfig import ConfigLoader

class AppConfig(BaseModel):
    host: str = "localhost"
    port: int = 8080
    debug: bool = False

with ConfigLoader("config.json", AppConfig) as cfg:
    print(cfg.host)   # 首次运行会使用默认值
    cfg.port = 9090   # 修改配置
# 退出上下文时自动写入 config.json

参数

path: str | Path — 配置文件路径。文件存在则读取,不存在则使用模型默认值。

model: Type[T] — 一个 Pydantic BaseModel 子类,定义了配置的结构和默认值。

只读

你可以使用如下的方法只读取磁盘上的配置,在此例中,就算修改 cfg 的值也不会同步到磁盘中。

loader = ConfigLoader("config.json", AppConfig)
cfg = loader.readonly()
print(cfg.host)

读写行为

  • 读取:进入上下文管理器时,若文件存在则 model_validate_json 反序列化,否则用 model_cls() 构造默认实例。
  • 写入:退出上下文管理器时自动创建父目录,以 indent=2ensure_ascii=False 写出 JSON。

其他

如果你发现自己需要手动调用 save() 或 exit(),请先考虑是否应该使用上下文管理器。大多数修改配置的场景都更适合:

with ConfigLoader(...) as config:
    ...

而不是手动管理配置对象的生命周期。

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