Let's go through the provided code line by line to explain its functionality:
from rest_framework import serializers
class CitySerializer(serializers.Serializer):
cityName = serializers.CharField()
population = serializers.IntegerField()
streets = serializers.DictField()
This code imports the necessary modules and defines a serializer class called CitySerializer. It inherits from serializers.Serializer, which is a part of the Django REST Framework (DRF).
def to_representation(self, instance):
representation = super().to_representation(instance)
representation['streets'] = {
street_name: self._serialize_street(street_data)
for street_name, street_data in instance.streets.items()
}
return representation
- The to_representation method is overridden to provide a custom
representation of the serialized object. This method is called when
converting the object to a serialized format, such as JSON.
- It first calls the parent class's to_representation method to get
the initial representation of the object.
- Then, it modifies the representation dictionary by replacing the
original 'streets' value with a serialized representation of each
street.
- The instance.streets.items() returns a dictionary view of the
streets attribute of the instance, which is iterated over to
serialize each street's data.
- For each street_name and street_data
pair, the _serialize_street method is called to create a serialized
representation of the street data.
- The resulting dictionary, with serialized streets, is assigned back
to the representation ['streets'].
The .py file:
from rest_framework import serializers
class CitySerializer(serializers.Serializer):
cityName = serializers.CharField()
population = serializers.IntegerField()
streets = serializers.DictField()
def to_representation(self, instance):
representation = super().to_representation(instance)
representation['streets'] = {
street_name: self._serialize_street(street_data)
for street_name, street_data in instance.streets.items()
}
return representation
def _serialize_street(self, street_data):
return {
'streetNumberStart': street_data['streetNumberStart'],
'streetNumberEnd': street_data['streetNumberEnd'],
'houses': street_data['houses']
}
Json Format:
{
"cityName": "Some name",
"population": 5,
"streets": {
"theBestStreetName": {
"streetNumberStart": 1,
"streetNumberEnd": 200,
"houses": 5000
},
"theWorstStreetName": {
"streetNumberStart": 1,
"streetNumberEnd": 7,
"houses": 4
}
}
}
I hope this explanation helps