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Python application configuration via the environment

author_email Datadog <dev@datadoghq.com>
classifiers
  • License :: OSI Approved :: MIT License
  • Programming Language :: Python
  • Programming Language :: Python :: 3.7
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
description_content_type text/markdown
license MIT License Copyright (c) 2022 Datadog, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
project_urls
  • Homepage, https://github.com/DataDog/envier
requires_dist
  • mypy; extra == 'mypy'
requires_python >=3.7
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envier-0.5.2-py3-none-any.whl
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10 KB
Type
Python Wheel
Python
3

Envier

Python application configuration from the environment

Synopsis

Envier is a Python library for extracting configuration from environment variables in a declarative and (eventually) 12-factor-app-compliant way.

Usage

The following example shows how to declare the configuration for an application that uses the MYAPP_DEBUG, MYAPP_SERVICE_HOST and MYAPP_SERVICE_PORT variables from the environment.

>>> from envier import Env
>>> 
>>> class GlobalConfig(Env):
>>>     __prefix__ = "myapp"
>>>     
>>>     debug_mode = Env.var(bool, "debug", default=False)
>>> 
>>>     service_host = Env.var(str, "service.host", default="localhost")
>>>     service_port = Env.var(int, "service.port", default=3000)
>>> 
>>>     _is_default_port = Env.der(bool, lambda c: c.service_port == c.spec.service_port.default)
>>> 
>>> config = GlobalConfig()
>>> config.service_port
3000
>>> config._is_default_port
True

Configurations can also be nested to create namespaces:

>>> from envier import Env
>>> 
>>> class ServiceConfig(Env):
>>>     __prefix__ = "service"
>>> 
>>>     host = Env.var(str, "host", default="localhost")
>>>     port = Env.var(int, "port", default=3000)
>>> 
>>> class GlobalConfig(Env):
>>>     __prefix__ = "myapp"
>>>     
>>>     debug_mode = Env.var(bool, "debug", default=False)
>>> 
>>>     service = ServiceConfig
>>> 
>>> config = GlobalConfig()
>>> config.service.port
3000

The same configuration can be obtained with implicit nesting by declaring the ServiceConfig subclass inside GlobalConfig, and setting the class attribute __item__ to the name of the item the sub-configuration should be assigned to, viz.

>>> from envier import Env
>>> 
>>> class GlobalConfig(Env):
>>>     __prefix__ = "myapp"
>>>     
>>>     debug_mode = Env.var(bool, "debug", default=False)
>>> 
>>>     class ServiceConfig(Env):
>>>         __item__ = __prefix__ = "service"
>>>         
>>>         host = Env.var(str, "host", default="localhost")
>>>         port = Env.var(int, "port", default=3000)
>>> 
>>> config = GlobalConfig()
>>> config.service.port
3000

Type Checking

The library ships with a mypy plugin to allow for type checking. If you want to use it, either install the library with the mypy extra or ensure that mypy is installed, and then add envier.mypy to the list of extra plugins in the mypy configuration.

Roadmap