Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

How to return nested json by Django Rest Framework

I have data inside postgres database like this

and I want to create rest api to return nested json like this

[
{
    "machine": "MC1",
    "work"   : [
                 {
                    "title": "21TCE20200910",
                    "subTitle1": "INSERT CORE",
                    "subTitle2": "P20200910-001",
                    "subTitle3": "DRAW20200910",
                    "status": 0,
                    "delay": 2
                 },
                 {
                    "title": "21TCE20200910",
                    "subTitle1": "INSERT CORE",
                    "subTitle2": "P20200910-001",
                    "subTitle3": "DRAW20200912",
                    "status": 1,
                    "delay": 1
                 }
               ]
    
},
{
    "machine": "MC2",
    "work"   : [
                 {
                    "title": "21TCE20200911",
                    "subTitle1": "SCREW",
                    "subTitle2": "P20200910-001",
                    "subTitle3": "DRAW20200910",
                    "status": 1,
                    "delay": 2
                 }
               ]
    
},
{
    "machine": "MC3",
    "work"   : [
                 {
                    "title": "21TCE20200913",
                    "subTitle1": "INSERT FIX",
                    "subTitle2": "P20200910-001",
                    "subTitle3": "DRAW20200910",
                    "status": 0,
                    "delay": 1
                 }
               ]
    
}

]

Currently I can only return normal json for each record but I want to group and return nested json like above any help would be appreciate

these below are my codes model.py


    from django.db import models
    class MachineSchedule(models.Model):
        machine = models.CharField(max_length=255)
        title   = models.CharField(max_length=255)
        subTitle1 = models.CharField(max_length=255)
        subTitle2 = models.CharField(max_length=255)
        subTitle3 = models.CharField(max_length=255)
        status = models.IntegerField(1)
        delay = models.IntegerField(1)

views.py


    from django.shortcuts import render
    from rest_framework import generics
    from .models import MachineSchedule
    from .serializers import MachineScheduleSerializer
    class MachineScheduleListAPIView(generics.ListCreateAPIView):
        serializer_class = MachineScheduleSerializer
          model = MachineSchedule
            fields = '__all__'

serializers.py


    from rest_framework import serializers
    from .models import MachineAllocate
    
    class MachineAllocateSerializer(serializers.ModelSerializer):
        class Meta:
            model = MachineAllocate
            fields = '__all__'

like image 258
user3863074 Avatar asked Feb 02 '26 19:02

user3863074


1 Answers

#models
class Work(models.Model):
    title   = models.CharField(max_length=255)
    subTitle1 = models.CharField(max_length=255)
    subTitle2 = models.CharField(max_length=255)
    subTitle3 = models.CharField(max_length=255)
    status = models.IntegerField(1)
    delay = models.IntegerField(1)

class MachineSchedule(models.Model):
    machine = models.CharField(max_length=255)
    work = models.ForeignKey(Work, on_delete=models.CASCADE, 
    related_name='work')

#serializer
from rest_framework import serializers
from .models import *

class WorkSerializer(serializers.ModelSerializer):
class Meta:
    model = MachineAllo
    fields = '__all__'

class MachineScheduleSerializer(serializers.ModelSerializer):
    work = WorkSerializer(many=True)
    class Meta:
    model = MachineAllo
    fields = '__all__'

#views
from rest_framework import generics
from .models import MachineSchedule
from .serializers import MachineScheduleSerializer

class MachineScheduleListAPIView(generics.ListCreateAPIView):
    serializer_class = MachineScheduleSerializer
    model = MachineSchedule
    fields = '__all__'
like image 61
Surya Pratap Rana Avatar answered Feb 04 '26 08:02

Surya Pratap Rana



Donate For Us

If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!