Django has a beautiful feature of signals which will record all the actions performed on the particular model. In the current blog post, we’ll learn how to use Django's built-in signals and how to create custom signal
Using Django’s built in Signals:
Django has a lot of built-in signals like pre_save, post_save, pre_delete and post_delete and etc., For more information about Django's built-in signals visit https://docs.djangoproject.com/en/1.9/ref/signals/. Now we’ll learn how to use Django's pre_delete signal with a simple example. In the way we use pre_delete in the present blog post we can use other signals also in the same way. We have two models called Author and Book their models are defined in models.py as below.
# In models.py from django.db import models class Author(models.Model): full_name = models.CharField(max_length=100) short_name = models.CharField(max_length=50) class Book(models.Model): title = models.CharField(max_length=100) slug = models.SlugField(max_length=100) content = model.TextField() status = models.CharField(max_length=10, default=”Drafted”) author_id = model.PositiveIntegerField(null=True)
In the above two models we are not having an author as foreignKey to Book model, so by default when the Author gets deleted it won’t delete all the Books written by the author. This is the case where signals come to picture, we can achieve this by using pre_delete or post_delete signals. For this, we’ll write a receiver function which will be called on pre_delete of the author object. Write the following code in your models.py
def remove_books(sender, instance, **kwargs): author_id = instance.id Book.objects.filter(author_id=author_id).delete() pre_delete.connect(remove_books, sender=Author)
In the above snippet sender is the model name on which the pre_delete signal is called, in the current example it is Author model. Remove_books is the receiver function which will be called on delete of the Author object. It takes sender, instance(the Author instance which is called for delete) and any other keyword arguments.
Writing Custom Signals:
Now in this section, we’ll learn, how to create custom signals using the same above example. Suppose if the author has to get an email when the Book status is changed to “Published”. For this, we have to create a file called signals.py to create a custom signal. By default all the signals are django.dispatch.Signal instances.
# In signals.py import django.dispatch book_publised = django.dispatch.Signal(providing_args=["book", “author”])
Create receivers.py which contains the receiver function which will be called when the signal is dispatched.
# In receivers.py from django.dispatch import receiver from .signals import * @receiver(book_publised) def send_mail_on_publish(sender, **kwargs): # contains the logic to send the email to author.
In the above snippet receiver is decorator which tells the book_published signal that send_mail_on_publish is the receiver function which will be called when the book_publisehd signal is dispatched.
We can dispatch signal anywhere as following.
book_published.send(sender=Book, book=<Book Instance>, user=<Author Instance>)
Note: The most important to be remembered is when we just call book_published.send(*****) it won’t hit the receiver function. To make the signal hit the receiver function is we have to import receiver in your app’s __init__.py. # In __init__.py import receivers But from Django 1.9+ if we import receivers in __init__.py, it will cause runtime error of Apps not ready. To avoid this issue we have to import this inside the ready function of your apps.py # In apps.py from django.apps import AppConfig class LoadReceivers(AppConfig): name = testapp def ready(self): from . import receivers
Micropyramid is a software development and cloud consulting partner for enterprise businesses across the world. We work on python, Django, Salesforce, Angular, Reactjs, React Native, MySQL, PostgreSQL, Docker, Linux, Ansible, git, amazon web services. We are Amazon and salesforce consulting partner with 5 years of cloud architect experience. We develop e-commerce, retail, banking, machine learning, CMS, CRM web and mobile applications.
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