I have 2 abstract models:
class AdditionalModel(models.Model):
x = models.CharField(max_length=20)
class Meta:
abstract = True
class BaseModel(models.Model):
y = models.CharField(max_length=20)
class Meta:
abstract = True
Now I have my models.py:
class MainModel(BaseModel):
z = models.CharField(max_length=20)
On migration, I need to create two tables, one for MainModel which extends the BaseModel and another for "mainmodel_additional_model" which gets additionally created for MainModel.
I was trying to achieve this using save() method. Not quite getting there, also what are the standard ways to do this.
I am running into an issue with prefetch_related on a property of an inherited model.
In models.py I have:
class Security(models.Model):
name = models.TextField()
...other fields
class Fund(Security):
...other fields
#property
def underlying_security(self):
return self.maps_when_mapped.get().original_security
class SecurityToSecurityMap(models.Model):
original_security = models.ForeignKey(Security, related_name="maps_when_original")
mapped_security = models.ForeignKey(Security, related_name="maps_when_mapped")
and in serializers.py
class UnderlyingSecuritySerializer(serializers.Serializer):
id = serializers.IntegerField()
name = serializers.CharField()
class FundSerializer(serializers.ModelSerializer):
underlying_security = UnderlyingSecuritySerializer(read_only=True, allow_null=True)
class Meta:
model = Fund
fields = ("id", "name", "underlying_security")
Now, I when I am querying fund objects:
queryset = Fund.objects.prefetch_related("maps_when_mapped__original_security")
Django ignores prefetching. Experimented with `Prefetch, tried moving property to the parent - no luck, still getting hundreds on queries. Any way this can be optimised?
I am using Django 2.2 with Postgres 11
UPDATE 1
After looking at the question, I suspect that problem is when I use .get() in property, it is immediately evaluated but then not sure how to fetch it without evaluation
I have a model in which I need to represent different jobs for a labor application, for example:
from django.db import models
class PostFirstJobAd(models.Model):
fist_job_ad_title = models.CharField(max_length=225)
first_job_ad_description = models.TextField()
created_at = models.DateTimeField(auto_now=True)
class PostSecondJobAd(models.Model):
second_job_ad_title = models.CharField(max_length=225)
second_job_ad_description = models.TextField()
created_at = models.DateTimeField(auto_now=True)
class PostThirdJobAd(models.Model):
third_job_ad_title = models.CharField(max_length=225)
third_job_ad_description = models.TextField()
created_at = models.DateTimeField(auto_now=True)
Instantly you can see that I'm repeating title, description and created_at, I'm just changing field's name, it's not DRY and code is starting to smell. The reason for this is because I want to register every job separately inside django admin, so I will have clear situation inside site administration.
One way to make them DRY is to use Abstract base classes but I have a problem because from the docs:
This model will then not be used to create any database table.
Instead, when it is used as a base class for other models, its fields
will be added to those of the child class.
What will be the right approach in this case, can someone help me understand this.
Using abstract base models:
class JobAd(models.Model):
title = models.CharField(max_length=225)
description = models.TextField()
created_at = models.DateTimeField(auto_now=True)
class Meta:
abstract = True
class PostFirstJobAd(JobAd):
pass
class PostSecondJobAd(JobAd):
pass
class PostThirdJobAd(JobAd):
pass
This would create 3 tables. The base class JobAd does not have a table in the db.
Since you appear to have 3 different models with the exact same code, you should question whether you really need 3 different models at all. Another option is to just store them all in one table, and add another field for the "other" thing.
class JobAd(models.Model):
pos = models.CharField(max_length=100, choices=['first', 'second', 'third'])
title = models.CharField(max_length=225)
description = models.TextField()
created_at = models.DateTimeField(auto_now=True)
An integer field for pos is also possible.
First off, the abstract models might be what you need here. Depending on the business requirements, you may need to think a little harder on the architecture.
If, in fact, you do need to use abstract base classes:
class BaseJob(models.Model):
title = models.CharField(max_length=255)
# etc...
class Meta:
abstract = True
def method_1(self):
# base methods that work for instance data
Once that is defined, you can implement the base class in a concrete model. A concrete model is a model that doesn't use the abstract = True metaclass property (or proxy, etc.) like so:
class Job(BaseJob):
pass
If you need additional fields you can define them like any other model field but when you run makemigrations you'll find the fields get added in the migration generated.
models.py:
class Station(models.Model):
station = models.CharField()
class Flat(models.Model):
station = models.ForeignKey(Station, related_name="metro")
# another fields
Then in serializers.py:
class StationSerializer(serializers.ModelSerializer):
station = serializers.RelatedField(read_only=True)
class Meta:
model = Station
class FlatSerializer(serializers.ModelSerializer):
station_name = serializers.RelatedField(source='station', read_only=True)
class Meta:
model = Flat
fields = ('station_name',)
And I have an error:
NotImplementedError: RelatedField.to_representation() must be implemented.
If you are upgrading from REST framework version 2 you might want ReadOnlyField.
I read this, but it does not help me.
How to fix that?
Thanks!
RelatedField is the base class for all fields which work on relations. Usually you should not use it unless you are subclassing it for a custom field.
In your case, you don't even need a related field at all. You are only looking for a read-only single foreign key representation, so you can just use a CharField.
class StationSerializer(serializers.ModelSerializer):
station = serializers.CharField(read_only=True)
class Meta:
model = Station
class FlatSerializer(serializers.ModelSerializer):
station_name = serializers.CharField(source='station.name', read_only=True)
class Meta:
model = Flat
fields = ('station_name', )
You also appear to want the name of the Station object in your FlatSerializer. You should have the source point to the exact field, so I updated it to station.name for you.
Besides the syntax, what's the difference between using a django abstract model and using plain Python inheritance with django models? Pros and cons?
UPDATE: I think my question was misunderstood and I received responses for the difference between an abstract model and a class that inherits from django.db.models.Model. I actually want to know the difference between a model class that inherits from a django abstract class (Meta: abstract = True) and a plain Python class that inherits from say, 'object' (and not models.Model).
Here is an example:
class User(object):
first_name = models.CharField(..
def get_username(self):
return self.username
class User(models.Model):
first_name = models.CharField(...
def get_username(self):
return self.username
class Meta:
abstract = True
class Employee(User):
title = models.CharField(...
I actually want to know the difference between a model class that
inherits from a django abstract class (Meta: abstract = True) and a
plain Python class that inherits from say, 'object' (and not
models.Model).
Django will only generate tables for subclasses of models.Model, so the former...
class User(models.Model):
first_name = models.CharField(max_length=255)
def get_username(self):
return self.username
class Meta:
abstract = True
class Employee(User):
title = models.CharField(max_length=255)
...will cause a single table to be generated, along the lines of...
CREATE TABLE myapp_employee
(
id INT NOT NULL AUTO_INCREMENT,
first_name VARCHAR(255) NOT NULL,
title VARCHAR(255) NOT NULL,
PRIMARY KEY (id)
);
...whereas the latter...
class User(object):
first_name = models.CharField(max_length=255)
def get_username(self):
return self.username
class Employee(User):
title = models.CharField(max_length=255)
...won't cause any tables to be generated.
You could use multiple inheritance to do something like this...
class User(object):
first_name = models.CharField(max_length=255)
def get_username(self):
return self.username
class Employee(User, models.Model):
title = models.CharField(max_length=255)
...which would create a table, but it will ignore the fields defined in the User class, so you'll end up with a table like this...
CREATE TABLE myapp_employee
(
id INT NOT NULL AUTO_INCREMENT,
title VARCHAR(255) NOT NULL,
PRIMARY KEY (id)
);
An abstract model creates a table with the entire set of columns for each subchild, whereas using "plain" Python inheritance creates a set of linked tables (aka "multi-table inheritance"). Consider the case in which you have two models:
class Vehicle(models.Model):
num_wheels = models.PositiveIntegerField()
class Car(Vehicle):
make = models.CharField(…)
year = models.PositiveIntegerField()
If Vehicle is an abstract model, you'll have a single table:
app_car:
| id | num_wheels | make | year
However, if you use plain Python inheritance, you'll have two tables:
app_vehicle:
| id | num_wheels
app_car:
| id | vehicle_id | make | model
Where vehicle_id is a link to a row in app_vehicle that would also have the number of wheels for the car.
Now, Django will put this together nicely in object form so you can access num_wheels as an attribute on Car, but the underlying representation in the database will be different.
Update
To address your updated question, the difference between inheriting from a Django abstract class and inheriting from Python's object is that the former is treated as a database object (so tables for it are synced to the database) and it has the behavior of a Model. Inheriting from a plain Python object gives the class (and its subclasses) none of those qualities.
The main difference is how the databases tables for the models are created.
If you use inheritance without abstract = True Django will create a separate table for both the parent and the child model which hold the fields defined in each model.
If you use abstract = True for the base class Django will only create a table for the classes that inherit from the base class - no matter if the fields are defined in the base class or the inheriting class.
Pros and cons depend on the architecture of your application.
Given the following example models:
class Publishable(models.Model):
title = models.CharField(...)
date = models.DateField(....)
class Meta:
# abstract = True
class BlogEntry(Publishable):
text = models.TextField()
class Image(Publishable):
image = models.ImageField(...)
If the Publishable class is not abstract Django will create a table for publishables with the columns title and date and separate tables for BlogEntry and Image. The advantage of this solution would be that you are able to query across all publishables for fields defined in the base model, no matter if they are blog entries or images. But therefore Django will have to do joins if you e.g. do queries for images...
If making Publishable abstract = True Django will not create a table for Publishable, but only for blog entries and images, containing all fields (also the inherited ones). This would be handy because no joins would be needed to an operation such as get.
Also see Django's documentation on model inheritance.
Just wanted to add something which I haven't seen in other answers.
Unlike with python classes, field name hiding is not permited with model inheritance.
For example, I have experimented issues with an use case as follows:
I had a model inheriting from django's auth PermissionMixin:
class PermissionsMixin(models.Model):
"""
A mixin class that adds the fields and methods necessary to support
Django's Group and Permission model using the ModelBackend.
"""
is_superuser = models.BooleanField(_('superuser status'), default=False,
help_text=_('Designates that this user has all permissions without '
'explicitly assigning them.'))
groups = models.ManyToManyField(Group, verbose_name=_('groups'),
blank=True, help_text=_('The groups this user belongs to. A user will '
'get all permissions granted to each of '
'his/her group.'))
user_permissions = models.ManyToManyField(Permission,
verbose_name=_('user permissions'), blank=True,
help_text='Specific permissions for this user.')
class Meta:
abstract = True
# ...
Then I had my mixin which among other things I wanted it to override the related_name of the groups field. So it was more or less like this:
class WithManagedGroupMixin(object):
groups = models.ManyToManyField(Group, verbose_name=_('groups'),
related_name="%(app_label)s_%(class)s",
blank=True, help_text=_('The groups this user belongs to. A user will '
'get all permissions granted to each of '
'his/her group.'))
I was using this 2 mixins as follows:
class Member(PermissionMixin, WithManagedGroupMixin):
pass
So yeah, I expected this to work but it didn't.
But the issue was more serious because the error I was getting wasn't pointing to the models at all, I had no idea of what was going wrong.
While trying to solve this I randomly decided to change my mixin and convert it to an abstract model mixin. The error changed to this:
django.core.exceptions.FieldError: Local field 'groups' in class 'Member' clashes with field of similar name from base class 'PermissionMixin'
As you can see, this error does explain what is going on.
This was a huge difference, in my opinion :)
The main difference is when you inherit the User class. One version will behave like a simple class, and the other will behave like a Django modeel.
If you inherit the base "object" version, your Employee class will just be a standard class, and first_name won't become part of a database table. You can't create a form or use any other Django features with it.
If you inherit the models.Model version, your Employee class will have all the methods of a Django Model, and it will inherit the first_name field as a database field that can be used in a form.
According to the documentation, an Abstract Model "provides a way to factor out common information at the Python level, whilst still only creating one database table per child model at the database level."
I will prefer the abstract class in most of the cases because it does not create a separate table and the ORM does not need to create joins in the database. And using abstract class is pretty simple in Django
class Vehicle(models.Model):
title = models.CharField(...)
Name = models.CharField(....)
class Meta:
abstract = True
class Car(Vehicle):
color = models.CharField()
class Bike(Vehicle):
feul_average = models.IntegerField(...)