Problem:
I'm using Django Rest Framework and i want to fetch all models with the relationships included, like this:
TestModel.objects.all()
My model looks like this:
class TestModel(models.Model):
name = models.CharField(max_length=32)
related_model = models.ForeignKey(TestRelation)
Problem is, i only get the Primary Keys for related_model but i need the whole related_model!
I'm using the ListCreateAPIView, with the above queryset (TestModel.objects.all()) and the most basic form of the ModelSerializer.
I tried the PrimaryKeyRelatedField but i get the same result..
Thanks!
Just create serializer for your related model:
class TestRelationSerializer(serializers.ModelSerializer):
class Meta:
meta = TestRelation
and use is as field in TestModelSerializer:
class TestModelSerializer(serializers.ModelSerializer):
related_model = TestRelationSerializer()
You can also do it other way around, by using TestModelSerializer as field in TestRelationSerializer with many set to true:
class TestRelationSerializer(serializers.ModelSerializer):
testmodel_set = TestModelSerializer(many=True)
just remember, you can't do both at once due to infinite recursion it makes.
Related
Right now I am creating a user department with a list of users that are a foreign key back to the main user model. I had this working yesterday, but for some reason I screwed it up. I imagine it has something to do with the serializers. I want to be able to post a list of users in this format
['jack', 'tom']
However, even using the raw data api this is not allowing me to do this. Here is my code:
Serializers:
class DepartmentSerializer(serializers.ModelSerializer):
user_department = UserSerializer(many=True)
class Meta:
model = Departments
fields = '__all__'
class DepartmentUpdateSerializer(serializers.ModelSerializer):
user_department = UserSerializer(many=True)
class Meta:
model = Departments
fields = ['department_name', 'department_head', 'user_department']
I swear yesterday it was allowing me to select from a list of users in the api. I could also post and it would work from the front end. However, now whenever I create a department it's expecting a dictionary, which I am not trying to pass.
Dudes, for whatever reason, removing () after the UserSerializer fixed it. If anyone can explain why that would be even better!
class DepartmentSerializer(serializers.ModelSerializer):
user_department = UserSerializer
class Meta:
model = Departments
fields =['department_name', 'department_head', 'user_department']
class DepartmentUpdateSerializer(serializers.ModelSerializer):
user_department = UserSerializer
class Meta:
model = Departments
fields = ['department_name', 'department_head', 'user_department']
When you use the nested serializer you need to add the nested serializer field (user_department in your case) to the fields too, as you can see you used
fields = '__all__'
which does not include your nested serializer field, you need to manually add that to the meta fields
I need to be able to do a post on an api endpoint to save an adgroup model.The model has a many to many field. I know I need to overwrite the create() method.But How is where I am stuck at . The incoming request data will have the id for the other model (creative). This id will already be present in the creative table.
Django creates another table called adgroup_creative to hold this M2M relationship.I need to populate that table when saving this adgroup object.
class AdGroup(models.Model):
adgroup_name = models.CharField(max_length=200, verbose_name="Name")
creative = models.ManyToManyField(Creative, verbose_name="Creative")
class Creative(models.Model):
creative_name= models.CharField(max_length=200, verbose_name="Name", default=0)
ad_type= models.PositiveIntegerField(max_length=1,verbose_name="Ad Type")
class AdGroupSerializer(serializers.ModelSerializer):
class Meta:
model = AdGroup
fields = ('id','adgroup_name','creative')
class CreativeSerializer(serializers.ModelSerializer):
class Meta:
model = Creative
fields = ('id','creative_name')
class AdGroupViewSet(mixins.CreateModelMixin, mixins.RetrieveModelMixin, mixins.UpdateModelMixin, mixins.ListModelMixin, viewsets.GenericViewSet):
queryset = AdGroup.objects.all().order_by('-id')
serializer_class = AdGroupSerializer
https://codereview.stackexchange.com/questions/46160/django-rest-framework-add-remove-to-a-list
Save a many-to-many model in Django/REST?
You should have a look at the serializer relation documentation.
You don't need anything special if you simply use ID to represent a M2M relation with DRF. You'll need to override the create/update methods only if you intend to provide non existing related objects or use nested serializers.
In the current case, you don't need nested serializers because you want to provide related instances' IDs.
I am trying to make a tool for drawing diagrams on the web. I have a model like so:
class PlaneableItem(Model):
name = models.CharField(max_length=NAME_LENGTH, blank=True)
class View(PlaneableItem):
# Some useful details
class Anchor(Model):
view = models.ForeignKey(View)
planeable = models.ForeignKey(PlaneableItem)
class BlockRepresentation(Anchor):
# Useful details
class LineRepresentation(Anchor):
# Useful details
I try to make a rest API that returns lists of all blocks and lines for a specific view, including the name of the planeable that they refer to.
I can get a queryset for this using:
qs = BlockRepresentation.objects.filter(view=theview).all()
qs.select_related('planeable')
qs.extra(select={'name': 'rest_api_planeableitem.name'})
However, now I can't use a ModelSerializer on it, because the field 'name' is not part of the BlockRepresentation.
I really like ModelSerializers, is there a better way of doing this?
Is there a particular reason you need that extra() call? If the sole purpose of that call is to rename a field, you can omit that from the queryset and rename the field using a SerializerMethodField from your serializer. I will assume planeable is the ForeignKey field in BlockRepresentation model to the PlaneableItem model. Sample code:
from rest_framework import serializers
class BlockRepresentationSerializer(serializers.ModelSerializer):
# Some fields
name = serializers.SerializerMethodField()
class Meta:
model = BlockRepresentation
def get_name(self, obj):
if obj.planeable:
return obj.planeable.name
return ''
views.py
I'm creating a queryset that I want to serialize and return as JSON. The queryset looks like this:
all_objects = Program.objects.all()
test_data = serializers.serialize("json", all_objects, use_natural_keys=True)
This pulls back everything except for the 'User' model (which is linked across two models).
models.py
from django.db import models
from django.contrib.auth.models import User
class Time(models.Model):
user = models.ForeignKey(User)
...
class CostCode(models.Model):
program_name = models.TextField()
...
class Program(models.Model):
time = models.ForeignKey(Time)
program_select = models.ForeignKey(CostCode)
...
Question
My returned data has Time, Program, and CostCode information, but I'm unable to query back the 'User' table. How can I get back say the 'username' (from User Table) in the same queryset?
Note: I've changed my queryset to all_objects = Time.objects.all() and this gets User info, but then it doesn't pull in 'CostCode'. My models also have ModelManagers that return the get_by_natural_key so the relevant fields appear in my JSON.
Ultimately, I want data from all four models to appear in my serialized JSON fields, I'm just missing 'username'.
Here's a picture of how the JSON object currently appears in Firebug:
Thanks for any help!
It seems a bit heavyweight at first glance but you could look at using Django REST Framework:
http://www.django-rest-framework.org/api-guide/serializers#modelserializer
You can define and use the serializer classes without having to do anything else with the framework. The serializer returns a python dict which can then be easily dumped to JSON.
To get all fields from each related model as nested dicts you could do:
class ProgramSerializer(serializers.ModelSerializer):
class Meta:
model = Program
depth = 2
all_objects = Program.objects.all()
serializer = ProgramSerializer(all_objects, many=True)
json_str = json.dumps(serializer.data)
To customise which fields are included for each model you will need to define a ModelSerializer class for each of your models, for example to output only the username for the time.user:
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ('username', )
class TimeSerializer(serializers.ModelSerializer):
"""
specifying the field here rather than relying on `depth` to automatically
render nested relations allows us to specify a custom serializer class
"""
user = UserSerializer()
class Meta:
model = Time
class ProgramSerializer(serializers.ModelSerializer):
time = TimeSerializer()
class Meta:
model = Program
depth = 1 # render nested CostCode with default output
all_objects = Program.objects.all()
serializer = ProgramSerializer(all_objects, many=True)
json_str = json.dumps(serializer.data)
What you really want is a "deep" serialization of objects which Django does not natively support. This is a common problem, and it is discussed in detail here: Serializing Foreign Key objects in Django. See that question for some alternatives.
Normally Django expects you to serialize the Time, CostCode, Program, and User objects separately (i.e. a separate JSON array for each) and to refer to them by IDs. The IDs can either be the numeric primary keys (PKs) or a "natural" key defined with natural_key.
You could use natural_key to return any fields you want, including user.username. Alternatively, you could define a custom serializer output whatever you want there. Either of these approaches will probably make it impossible to load the data back into a Django database, which may not be a problem for you.
Basically, I want to filter out inactive users from a related field of a ModelSerializer. I tried Dynamically limiting queryset of related field as well as the following:
class MySerializer(serializers.ModelSerializer):
users = serializers.PrimaryKeyRelatedField(queryset=User.objects.filter(active=True), many=True)
class Meta:
model = MyModel
fields = ('users',)
Neither of these approaches worked for just filtering the queryset. I want to do this for a nested related Serializer class as a field (but couldn't even get it to work with a RelatedField).
How do I filter queryset for nested relation?
I'll be curious to see a better solution as well. I've used a custom method in my serializer to do that. It's a bit more verbose but at least it's explicit.
Some pseudo code where a GarageSerializer would filter the nested relation of cars:
class MyGarageSerializer(...):
users = serializers.SerializerMethodField('get_cars')
def get_cars(self, garage):
cars_queryset = Car.objects.all().filter(Q(garage=garage) | ...).select_related()
serializer = CarSerializer(instance=cars_queryset, many=True, context=self.context)
return serializer.data
Obviously replace the queryset with whatever you want. You don't always need the to give the context (I used it to retrieve some query parameters in the nested serializer) and you probably don't need the .select_related (that was an optimisation).
One way to do this is to create a method on the Model itself and reference it in the serializer:
#Models.py
class MyModel(models.Model):
#...
def my_filtered_field (self):
return self.othermodel_set.filter(field_a = 'value_a').order_by('field_b')[:10]
#Serialziers.py
class MyModelSerialzer(serializers.ModelSerializer):
my_filtered_field = OtherModelSerializer (many=True, read_only=True)
class Meta:
model = MyModel
fields = [
'my_filtered_field' ,
#Other fields ...
]
Another way to avoid the SerializerMethodField solution and therefore still allow writing to the serializer as well would be to subclass the RelatedField and do the filtering there.
To only allow active users as values for the field, the example would look like:
class ActiveUsersPrimaryKeyField(serializers.PrimaryKeyRelatedField):
def get_queryset(self):
return super().get_queryset().filter(active=True)
class MySerializer(serializers.ModelSerializer):
users = ActiveUsersPrimaryKeyField(many=True)
class Meta:
model = MyModel
fields = ('users',)
Also see this response.
Note that this only restricts the set of input values to active users, though, i.e. only when creating or updating model instances, inactive users will be disallowed.
If you also use your serializer for reading and MyModel already has a relation to a user that has become inactive in the meantime, it will still be serialized. To prevent this, one way is to filter the relation using django's Prefetch objects. Basically, you'll filter out inactive users before they even get into the serializer:
from django.db.models import Prefetch
# Fetch a model instance, eagerly prefetching only those users that are active
model_with_active_users = MyModel.objects.prefetch_related(
Prefetch("users", queryset=User.objects.filter(active=True))
).first()
# serialize the data with the serializer defined above and see that only active users are returned
data = MyModelSerializer(model_with_active_users).data