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environment-settings-0.0.3


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توضیحات

Environment specific management of application configuration
ویژگی مقدار
سیستم عامل -
نام فایل environment-settings-0.0.3
نام environment-settings
نسخه کتابخانه 0.0.3
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده Adam Foster <affoster@gmail.com>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/environment-settings/
مجوز MIT License Copyright (c) 2021 Adam Foster 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.
# Environment Settings The `environment_settings` package allows applications to manage multiple runtime environment configurations in a central location using settings stored as normal python modules. Inspired by the [Django settings framework] (https://docs.djangoproject.com/en/dev/ref/settings/), the settings are loaded dynamically using a context manager at the application entry point. Additionally, the environment_settings module provides a decorator that can be used to load the correct settings for automated tests. ## Usage The following guide shows a typical application structure with support for multiple environment configurations. The `conf` package contains configuration files for each environment. ``` my-app |--my_app | |--conf | | |--__init__.py | | |--dev.py | | |--uat.py | | |--unittest.py | | `--prod.py | |--app.py | `--lib.py |--tests | `--unittests | `--test_lib.py |--pyproject.toml |--README.md `--setup.py ``` ### Settings package configuration Add the following code to the packge `__init__.py` to mark it as "settings enabled" ```python # my_app/conf/__init__.py from environment_settings import Settings settings = Settings(package=__name__) ``` ### Settings file layout Each settings file are implemented as normal python modules. Settings should be UPPERCASE as per the example below. Any other python code will not be visible in the settings context. ```python # my_app/conf/dev.py GOOD_SETTING_EXAMPLE = 'I am visible' bad_setting_example = 'I am not visible' ``` ### Initialising the settings context at the application entry point Before any setting can be used, the settings context needs to be activated. Failure to active the context will result in an `ImproperlyConfigured` exception ```python # my_app/app.py from my_app.conf import settings with settings.environment('dev'): print(settings.GOOD_SETTINGS_EXAMPLE) # Out[0]: # I am visible print(settings.GOOD_SETTINGS_EXAMPLE) # Out[1]: # Traceback (most recent call last): # ... # ImproperlyConfigured: Requested GOOD_SETTINGS_EXAMPLE, but settings are not configured. You must define the settings.environment(name) ``` ### Using settings throughout the application The centralised settings object can be imported anywhere throughout the application: ```python # my_app/lib.py from my_app.conf import settings def my_func(): return settings.GOOD_SETTINGS_EXAMPLE ``` ## Testing `environment_settings` also provides a decorator that can be used to provide test specific settings in test cases: ```python # my_app/conf/unittest.py GOOD_SETTINGS_EXAMPLE = 'unittest example' # tests/unittests/test_lib.py from my_app.conf import settings from my_app import lib @settings.environment('unittest') class TestLib: def test_lib(self): assert lib.my_func() == 'unittest example' ```


نیازمندی

مقدار نام
>7.0.0 pytest


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl environment-settings-0.0.3:

    pip install environment-settings-0.0.3.whl


نصب پکیج tar.gz environment-settings-0.0.3:

    pip install environment-settings-0.0.3.tar.gz