This content originally appeared on DEV Community and was authored by Nasser El Idrissi
Before today it was only me and God who can read my hand writing, but today it is only God who can... today I got stuck reading one of my DRF drafts about serializers and decided that it's that time of the year again where I start thinking that I should have a blog where I can save my notes -then forget about it again-, but as I already got a blog I said why not ? ? ... let's create a digital copy of my drf serializer notes, maybe someone will find it useful.
save time creating django apis with this cool django package, and support the repository by dropping a star ⭐
Let's define an Index or a table of content that we can use as reference in the future.
Table of content
1 - Fields
--------------------------
- Serializer Method Field
- Read Only Field
- Custom Field Validation
- Using Multiple Serializers
--------------------------
2 - Data
--------------------------
- Custom Data Validation
- Custom Output with `to_representation`()
- Custom Input with `to_internal_value`().
- Pass additional data directly to `save()`
--------------------------
3 - Keywords
--------------------------
- The `source` Keyword
- The `context` Keyword
1- Fields
Serializer Method Field
This is a read-only field. It gets its value by calling a method on the serializer class it is attached to. It can be used to add any sort of data to the serialized representation of your object.
SerializerMethodField gets its data by calling get_<field_name>.
Example:
class UserSerializer(serializers.ModelSerializer):
days_since_joined = serializers.SerializerMethodField()
class Meta:
model = User
fields = '__all__'
def get_days_since_joined(self, obj):
return (now() - obj.date_joined).days
Read Only Field
Read-only fields are included in the API output, but should not be included in the input during create or update operations. Any read_only fields that are incorrectly included in the serializer input will be ignored.
Example:
class AccountSerializer(serializers.Serializer):
id = IntegerField(label='ID', read_only=True)
Custom Field Validation
Validation in Django REST framework serializers is handled a little differently to how validation works in Django's ModelForm class.
With ModelForm the validation is performed partially on the form, and partially on the model instance. With REST framework the validation is performed entirely on the serializer class.
Let's take an example where we want to only allow students that have age between 12 and 18:
class StudentSerializer(serializers.ModelSerializer):
...
def validate_age(self, age):
if age > 18 or age < 12:
raise serializers.ValidationError('Age has to be between 12 and 18.')
return age
Using Multiple Serializers
You can override the get_serializer_class() of your ViewSet when for example you want to use a different Serializer in your create and update actions like the following:
class MyViewSet(viewsets.ModelViewSet):
queryset = MyModel.objects.all()
def get_serializer_class(self):
if self.action in ["create", "update"]:
return WriteSerializer
return ReadSerializer
2- Data
Custom Data Validation
Besides Custom Field Validation, there are two additional ways we can use to validate our data, when for example we need to compare some of our fields between each other the best way to do that is on the object level.
example:
class OrderSerializer(serializers.ModelSerializer):
...
def validate(self, data):
if data['discount_amount'] > data['total_amount']:
raise serializers.ValidationError('discount cannot be bigger than the total amount')
return data
Another good way to do validation is when a validation logic is repeated multiple times in some serializers, you can then extract it to a function, example:
def is_valid_age(value):
if age < 12:
raise serializers.ValidationError('age cannot be lower than 12.')
elif age > 18:
raise serializers.ValidationError('age cannot be higher than 18')
Then you can pass it like this in the other serializers:
class AnotherSerializer(serializers.ModelSerializer):
age = IntegerField(validators=[is_valid_age])
Custom Output with to_representation()
When you want to customize the output right before it is sent use to_representation(), imagine you have an output like the following after serialization is completed:
{
"id": 1,
"username": "abdenasser",
"bio": "Hey ... you already know!",
"followed_by": [2, 3]
}
and you want to add a total followers count to it... you can simply do:
class ResourceSerializer(serializers.ModelSerializer):
...
def to_representation(self, instance):
representation = super().to_representation(instance)
representation['followers'] = instance.followed_by.count()
return representation
Then you'll get:
{
"id": 1,
"username": "abdenasser",
"bio": "Hey ... you already know!",
"followed_by": [2, 3],
"followers": 2
}
Custom Input with to_internal_value()
Let's say that your API is expecting some input from a 3rd party service and you are only interested in a chunk of that input, you can use to_internal_value() as follow:
class SomeSerializer(serializers.ModelSerializer):
...
def to_internal_value(self, data):
useful_data = data['useful']
return super().to_internal_value(useful_data)
Pass additional data directly to save()
Calling .save() will either create a new instance, or update an existing instance, depending on if an existing instance was passed when instantiating the serializer class:
# .save() will create a new instance.
serializer = CommentSerializer(data=data)
# .save() will update the existing `comment` instance.
serializer = CommentSerializer(comment, data=data)
3- Keywords
The source Keyword
In essence, you can use source in a field like this
field_name = serializers.SomeFieldType(source='prop')
where prop could be a call for a function that return some value, or a property that exists in a related model like ...(source='author.bio') or even a serializer field that you want to rename in output.
You can also attach the whole object with source='*' if you need.
The context Keyword
You can provide arbitrary additional context by passing a context argument when instantiating a serializer. For example:
resource = Resource.objects.get(id=1)
serializer = ResourceSerializer(resource, context={'key': 'value'})
The context dictionary can then be used within any serializer field logic, such as a custom .to_representation() method, by accessing the self.context attribute.
def to_representation(self, instance):
representation = super().to_representation(instance)
representation['key'] = self.context['key']
return representation
Final word:
Django Rest Framework has a very good documentation which you can find and read here, try to spend some time on it and use it as a fall back any time you feel that things started getting complicated in your serializers, also bare in mind that while you are using serializers you are most of the time using, overriding or extending the base serializer functionalities so go check it out and take a look at it here.
This content originally appeared on DEV Community and was authored by Nasser El Idrissi
Nasser El Idrissi | Sciencx (2021-09-02T09:46:03+00:00) My personal django rest framework serializer notes. Retrieved from https://www.scien.cx/2021/09/02/my-personal-django-rest-framework-serializer-notes/
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