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dynaconf

Configuration Management for Python ⚙
授权协议 MIT License
开发语言 Python
所属分类 Web应用开发、 Web框架
软件类型 开源软件
地区 不详
投 递 者 宋典
操作系统 跨平台
开源组织
适用人群 未知
 软件概览

dynaconf - Configuration Management for Python.

CI

Features

  • Inspired by the 12-factor application guide
  • Settings management (default values, validation, parsing, templating)
  • Protection of sensitive information (passwords/tokens)
  • Multiple file formats toml|yaml|json|ini|py and also customizable loaders.
  • Full support for environment variables to override existing settings (dotenv support included).
  • Optional layered system for multi environments [default, development, testing, production]
  • Built-in support for Hashicorp Vault and Redis as settings and secrets storage.
  • Built-in extensions for Django and Flask web frameworks.
  • CLI for common operations such as init, list, write, validate, export.
  • full docs on https://dynaconf.com

Quick start

DEMO: You can see a working demo here: https://github.com/rochacbruno/learndynaconf

Install

$ pip install dynaconf

Initialize Dynaconf on project root directory

$ cd path/to/your/project/

$ dynaconf init -f toml

⚙️  Configuring your Dynaconf environment
------------------------------------------
�� The file `config.py` was generated.

��️  settings.toml created to hold your settings.

�� .secrets.toml created to hold your secrets.

�� the .secrets.* is also included in `.gitignore`
  beware to not push your secrets to a public repo.

�� Dynaconf is configured! read more on https://dynaconf.com

TIP: You can select toml|yaml|json|ini|py on dynaconf init -f <fileformat> toml is the default and also the most recommended format for configuration.

Dynaconf init creates the following files

.
├── config.py       # This is from where you import your settings object (required)
├── .secrets.toml   # This is to hold sensitive data like passwords and tokens (optional)
└── settings.toml   # This is to hold your application setttings (optional)

On the file config.py Dynaconf init generates the following boilerpate

from dynaconf import Dynaconf

settings = Dynaconf(
    envvar_prefix="DYNACONF",  # export envvars with `export DYNACONF_FOO=bar`.
    settings_files=['settings.yaml', '.secrets.yaml'],  # Load files in the given order.
)

TIP: You can create the files yourself instead of using the init command as shown above and you can give any name you want instead of the default config.py (the file must be in your importable python path) - See more options that you can pass to Dynaconf class initializer on https://dynaconf.com

Using Dynaconf

Put your settings on settings.{toml|yaml|ini|json|py}

username = "admin"
port = 5555
database = {name='mydb', schema='main'}

Put sensitive information on .secrets.{toml|yaml|ini|json|py}

password = "secret123"

IMPORTANT: dynaconf init command puts the .secrets.* in your .gitignore to avoid it to be exposed on public repos but it is your responsibility to keep it safe in your local environment, also the recommendation for production environments is to use the built-in support for Hashicorp Vault service for password and tokens.

Optionally you can now use environment variables to override values per execution or per environment.

# override `port` from settings.toml file and automatically casts as `int` value.
export DYNACONF_PORT=9900

On your code import the settings object

from path.to.project.config import settings

# Reading the settings

settings.username == "admin"  # dot notation with multi nesting support
settings.PORT == 9900  # case insensitive
settings['password'] == "secret123"  # dict like access
settings.get("nonexisting", "default value")  # Default values just like a dict
settings.databases.name == "mydb"  # Nested key traversing
settings['databases.schema'] == "main"  # Nested key traversing

More

  • Settings Schema Validation
  • Custom Settings Loaders
  • Vault Services
  • Template substitutions
  • etc...

There is a lot more you can do, read the docs: http://dynaconf.com

Contribute

Main discussions happens on t.me/dynaconf learn more about how to get involved on CONTRIBUTING.md guide

more

If you are looking for something similar to Dynaconf to use in your Rust projects: https://github.com/rubik/hydroconf

  • 【前言】 在项目中经常会遇到以下几种需要用到配置文件的场景: 相同的配置参数用在不同的代码中,如果需要调整,则需要手动将各个使用到的地方都相应调整。 密码等信息不想硬编码在项目文件中。 配置文件的格式有很多种,例如:json,ini,python模块,xml,yaml等也有各种各样的类库去处理配置文件,今天我们推荐一款好用的配置文件库 Dynaconf 。 【Dynaconf 简介】 官网:htt

  • 1. 初始化 dynaconf init -f <fileformat> 命令可以初始化dynaconf,它支持toml|yaml|json|ini|py几种文件类型,toml也是默认的文件格式,他会自动创建: ├── config.py # Where you import your settings object (required) ├── .secrets.toml # S

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