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A convenience class for providing default values for a django app setting.

Project description

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django-pluggableappsettings

This app provides a baseclass to easily realize AppSettings for any django project. The advantage of using an AppSettings class lies in the possibility for the programmer to assign default values for settings if the setting is not present in the main settings.py

Attention: The project is fairly new and not stable yet.

Requirements:

  • Django >= 1.6

Quick start

  1. Install django-pluggableappsettings

    • From the pip repository: pip install django-pluggableappsettings

    • or directly from github: `pip install git+git://github.com/NB-Dev/django-pluggableappsettings.git

  2. Create your AppSettings class in any of your project’s files. E.g. in ‘app_settings.py’.

  3. Define your settings by setting the class attributes as one of the provided settings types

    from django_pluggableappsettings import AppSettings, Setting
    
    class MyAppSettings(AppSettings):
        MY_SETTING = Setting('DEFAULT_VALUE')
  4. Access the setting from anywhere:

    from app_settings import MyAppSettings
    setting = MyAppSettings.MY_SETTING

Provided Setting Types

Three different setting types are provided with the package:

Setting(default_value, aliases)

The most basic setting that simply returns the value from the settings.py or, if that is not set, the default value. If no default value is provided and the setting is not set in your settings.py, an AttributeError is thrown. Also a list of aliases can be passed to allow for multiple names of one setting (e.g. for backwards compatibility)

CallableSetting(default_value, aliases)

Behaves as a Setting but checks whether the value is callable and calls it if possible before returning.

Attention: As each setting is only loaded once and then stored in a cache, the call is only performed on the first access of the setting.

ClassSetting(default_value, aliases)

Behaves as a Setting but accepts only Classes or dotted paths to classes as values. If the value is a dotted path, the path is translated to a class before returning, so the returned value is always a class.

IntSetting(default_value, aliases)

Accepts only values that are of type int or can be casted to type int

FloatSetting(default_value, aliases)

Accepts only values of type float of values that can be casted to type float

StringSetting(default_value, aliases)

Accepts only strings as value

IterableSetting(default_value, aliases)

Makes sure that the value is an iterable

TypedSetting(default_value, aliases)

A class that checks whether the given value is of a certain type and optionally allows casting the value to that type. Used as a base class for all type checking classes and can be easily subclassed to allow checking of various value types.

To create your own type checking Setting simply subclass this type and set the class attributes _setting_type and _cast_value according to your needs. The _setting_type attribute specifies the desired type while the _cast_value attribute specifies whether the value should be casted to the _setting_type. A _cast_value of True essentially results in a call of value = _setting_type(value).

E.g. The IntSetting is defined as follows:

class IntSetting(TypedSetting):
    """
    An integer setting
    """
    _setting_type = int
    _cast_value = True

If you need more elaborate casting functions, you can overwrite the cast_value(self, value) function of your type which should return the casted value.

Accessing Values

You can access any setting by simply importing your AppSettings class and accessing the corresponding attribute.

Running the tests

The included tests can be run standalone by running the tests/runtests.py script. You need to have Django and mock installed for them to run. If you also want to run coverage, you need to install it before running the tests

CHANGELOG

v.0.2.3

  • Added ‘aliases’ parameter to Setting to allow multiple names for one setting (e.g. for backwards compatibility)

v.0.2.2

  • Extended code to also work with Python 3

v.0.2.1

  • Added TypedSetting Setting type which allows for the setting to be typechecked

  • Added IntSetting, FloatSetting, StringSetting and ÌterableSetting` as subtypes of `TypedSetting

v.0.2.0

  • Added the changelog

  • Redesign of settings to allow different types of settings that can now also provide type checking.

  • Settings are now explicitly defined and no _DEFAULT_ prefix is needed anymore

  • Also no staticmethod decorator is needed anymore

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