Welcome to django-dirtyfields’s documentation!¶
django-dirtyfields is a small library for tracking dirty fields on a Django model instance.
Dirty means that a field’s in-memory value is different to the value in the database.
Table of Contents:¶
Quickstart¶
Install¶
$ pip install django-dirtyfields
Usage¶
To use django-dirtyfields, you need to:
Inherit from
DirtyFieldsMixinin the Django model you want to track.
from django.db import models
from dirtyfields import DirtyFieldsMixin
class ExampleModel(DirtyFieldsMixin, models.Model):
"""A simple example model to test dirty fields mixin with"""
boolean = models.BooleanField(default=True)
characters = models.CharField(blank=True, max_length=80)
Use one of these 2 functions on a model instance to know if this instance is dirty, and get the dirty fields:
is_dirty()get_dirty_fields()
Example¶
>>> model = ExampleModel.objects.create(boolean=True,
characters="first value")
>>> model.is_dirty()
False
>>> model.get_dirty_fields()
{}
>>> model.boolean = False
>>> model.characters = "second value"
>>> model.is_dirty()
True
>>> model.get_dirty_fields()
{'boolean': True, "characters": "first_value"}
Why would you want this?¶
When using django.db.models.signals (django.db.models.signals.pre_save especially), it is useful to be able to see what fields have changed or not. A signal could change its behaviour depending on whether a specific field has changed, whereas otherwise, you only could work on the event that the model’s save() method had been called.