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Application settings helper for Django apps.

Project description

Django AppSettings

Application settings helper for Django apps.

Why another *app settings* app?
Because none of the other suited my needs!

This one is simple to use, and works with unit tests overriding settings.



pip install django-app-settings


`On ReadTheDocs`_

.. _`On ReadTheDocs`:


To run all the tests: ``tox``. See `CONTRIBUTING`_.


Quick usage

.. code:: python

# Define your settings class
import appsettings

class MySettings(appsettings.AppSettings):
boolean_setting = appsettings.BooleanSetting(default=False)
required_setting = appsettings.StringSetting(required=True)
named_setting = appsettings.IntegerSetting(name='integer_setting')
prefixed_setting = appsettings.ListSetting(prefix='my_app_')

class Meta:
setting_prefix = 'app_'

# Related settings in

# Instantiate your class wherever you need to
appconf = MySettings()
assert appconf.boolean_setting is False # True (default value)
assert appconf.required_setting == 'hello' # raises AttributeError
assert appconf.named_setting < 0 # True
assert appconf.prefixed_setting # False (empty list)

# Values are cached to avoid perf issues
with override_settings(APP_REQUIRED_SETTING='hello',
# ...but cache is cleaned on Django's setting_changed signal
assert appconf.required_setting == 'hello' # True
assert appconf.named_setting < 0 # False

# You can still access settings through the class itself (values not cached)
print(MySettings.boolean_setting.get_value()) # explicit call
print(MySettings.boolean_setting.value) # with property

# Run type checking and required presence on all settings at once
MySettings.check() # raises Django's ImproperlyConfigured (missing required_setting)
# MySettings.check() is best called in django.apps.AppConfig's ready method

You can easily create your own Setting classes for more complex settings.

.. code:: python

import re

import appsettings
from django.core.exceptions import ValidationError

class RegexSetting(appsettings.Setting):
def validate(self, value):
re_type = type(re.compile(r'^$'))
if not isinstance(value, (re_type, str)):
# Raise ValidationError
raise ValidationError('Value must be a string or a compiled regex (use re.compile)')

def transform(self, value):
# ensure it always returns a compiled regex
if isinstance(value, str):
value = re.compile(value)
return value

Please check the documentation to see even more advanced usage.


Software licensed under `ISC`_ license.

.. _ISC:


0.5.0 (2018-12-03)

- Deprecate setting checkers in favor of validators, similarly to Django form fields.

0.4.0 (2018-07-25)

- Add ``NestedSetting`` for easy management of nested settings.

0.3.0 (2017-11-30)

Going from alpha to beta status. Logic has been reworked.

- An instance of a subclass of ``AppSettings`` will now dynamically get
settings values from project settings, and cache them. This allows to use
the instance the same way in code and tests, without performance loss. See
issue `#16`_.
- Cache is invalidated when Django sends a ``setting_changed`` signal (i.e.
when using ``TestCase`` or ``override_settings``). See issue `#16`_.
- Setting main class now accepts callable as default value, and two new
parameters to keep control on its behavior: ``call_default``, which tells
if the default value should be called (if callable) or not, and
``transform_default``, which tells if the default value should be transformed
as well by the ``transform`` method. See issue `#17`_.
- Settings type checkers now have custom parameters like ``max_length``,
``empty`` or ``key_type``, that can be passed directly through the settings
classes as keyword arguments. Check the documentation for more information.
- Settings classes have been rewritten more explicitly, using class inheritance
instead of hard-to-debug generators. Composed types like float lists or
boolean sets have been removed in favor of more flexible list, set and tuple
types which now accept an optional ``item_type`` parameter.
- ``ImportedObjectSetting`` has been renamed ``ObjectSetting``, and now
supports object paths down to arbitrary level of nesting. Before, it only
supported object paths down to classes or functions, now you can for example
give it the path to a constant in a class within a class, itself contained
in a module within a package. It will work as long a the deepest module is
importable through ``importlib.import_module`` and each object down to the
last is obtainable through ``getattr`` method.

Many thanks to `ziima`_ for having shared good ideas and thoughts!

.. _#16:
.. _#17:
.. _ziima:

0.2.5 (2017-06-02)

- Add six dependency (now required).
- Rename ``Int`` settings to ``Integer``, and ``Bool`` ones to ``Boolean``.
- Remove metaclass generated getters and checkers.

0.2.4 (2017-05-02)

- Settings are not checked when they default to the provided default value.
- Settings classes received better default values corresponding to their types.

0.2.3 (2017-05-02)

- Add ``full_name`` property to ``Setting`` class.
- Add ``required`` parameter to ``Setting`` class (default ``False``).

0.2.2 (2017-04-17)

- Import settings classes in main module to simplify imports.

0.2.1 (2017-04-17)

- Add ``PositiveInt`` and ``PositiveFloat`` settings.
- Add support for Django 1.11.
- Implement basic settings classes.

0.2.0 (2017-04-17)

- Implement basic Setting class.
- Pin dependencies.
- Change distribution name to ``app-settings``.

0.1.0 (2017-03-23)

- Alpha release on PyPI.

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