django-konst
is a utility for Django that makes the definition, use and storage of both integer and string based constants easy and readable. It avoids passing of constants
into template contexts and makes evaluation concise and readable.
It also makes exposure of these constants via forms and DRF serializers simple.
Constants can be defined with friendly names, backed by either integers or text.
from konst import Constant
# states backed by integers
states = Constants(
Constant(pending=0),
Constant(active=1),
Constant(inactive=2)
)
# and another set of constants backed by strings
colours = Constants(
Constant(red="FF0000"),
Constant(green="00FF00"),
Constant(yellow="FFFF80"),
Constant(white="FFFFFF")
)
At times, it will be necessary to group constants and test membership within that group.
To achieve this, django-konst
provides a ConstantGroup
class.
from konst import Constant, ConstantGroup
# states backed by integers
states = Constants(
Constant(active=0),
Constant(cancelled_ontime=1),
Constant(cancelled_late=2),
ConstantGroup(
"cancelled",
("cancelled_ontime", "cancelled_late")
)
)
While not strictly necessary, it is advisable to effectively namespace your constants by defining them in the scope of a model definition. This means you have your constants wherever you have the model class, as well as any model instance.
from django.db import models
from django.utils.translation import ugettext_lazy as _
from konst import Constant, ConstantGroup, Constants
from konst.models.fields import (
ConstantChoiceCharField,
ConstantChoiceField
)
class Apple(models.Model):
purposes = Constants(
Constant(cooking=0, label=_("Cook me!")),
Constant(eating=1, label=_("Eat me!")),
Constant(juicing=2, label=_("Juice me!")),
Constant(ornamental=3, label=_("Just look how pretty I am!")),
ConstantGroup(
"culinary", ("cooking", "eating", "juicing")
)
)
colours = Constants(
Constant(red="FF0000", label=_("red")),
Constant(green="00FF00", label=_("green")),
Constant(yellow="FFFF80", label=_("yellow")),
Constant(white="FFFFFF", label=_("white")),
)
name = models.CharField(max_length=30)
purpose = ConstantChoiceField(constants=purposes)
colour = ConstantChoiceCharField(constants=colours, max_length=30)
The entire point of this library is to make the use of constants defined in this way easy and concise.
apple = Apple.objects.get(name='Granny Smith')
apple.purpose.cooking
True
apple.colour.red
True
apple.colour.green
False
# we don't care about the specific purpose, just whether it is as food
# or not, so use the ConstantGroup!
apple.purpose.culinary
True
{% if apple.purpose.eating %}
You should bite this {{ apple.name }}!
{% endif %}
red_apples = Apple.objects.filter(colour=Apple.colours.red)
culinary_apples = Apple.objects.filter(
purpose__in=Apple.purposes.culinary
)
Using the konst.extras.drf.fields.ConstantChoiceField
serializer field with the
Django Rest Framework it is possible to both output and receive constant values.
from konst.extras.drf.fields import ConstantChoiceField
from rest_framework import serializers
class AppleSerializer(serializers.ModelSerializer):
purpose = ConstantChoiceField(Apple.purposes)
colour = ConstantChoiceField(Apple.colours)
class Meta:
model = Apple
fields = (
"name", "purpose", "colour"
)
# let's see how it handles bad values
serializer = AppleSerializer(
data={
"name": "Fuji",
"colour": "blue",
"purpose": "dicing"
}
)
serializer.is_valid()
False
serializer.errors
{
'colour': [u'"blue" is not a valid choice.'],
'purpose': [u'"dicing" is not a valid choice.']
}
# and now how it handles some good values
serializer = AppleSerializer(
data={
"name": "Fuji",
"colour": "red",
"purpose": "eating"
}
)
serializer.is_valid()
True
# let's create a database entry!
instance = serializer.save()
# and now our instance can be interacted with neatly
instance.colour.red
True
# finally, let's see how this looks when rendering JSON
AppleSerializer(instance=instance).data
{
"name": "Fuji",
"colour": "red",
"purpose": "eating"
}
django-konst
supports a variety of Python and Django versions. It's best if you test each one of these before committing. Our Circle CI Integration will test these when you push but knowing before you commit prevents from having to do a lot of extra commits to get the build to pass.
In order to easily test on all these Pythons and run the exact same thing that CI will execute you'll want to setup pyenv and install the Python versions outlined in tox.ini.
If you are on Mac OS X, it's recommended you use brew. After installing brew
run:
$ brew install pyenv pyenv-virtualenv pyenv-virtualenvwrapper
Then:
pyenv install -s 2.7.14
pyenv install -s 3.4.7
pyenv install -s 3.5.4
pyenv install -s 3.6.3
pyenv virtualenv 2.7.14
pyenv virtualenv 3.4.7
pyenv virtualenv 3.5.4
pyenv virtualenv 3.6.3
pyenv global 2.7.14 3.4.7 3.5.4 3.6.3
pip install detox
To run test suite:
Make sure you are NOT inside a virtualenv
and then:
$ detox
This will execute the testing matrix in parallel as defined in the tox.ini
.