I'm starting to test some API data between django and React using Rest API. I'm able to submit this data between Djnago model and React front end.
[
{
"id": 1,
"gender": "Male",
"age": 40,
"updated": "2022-04-25T18:55:23.304456Z",
"created": "2022-04-25T14:07:48.282139Z"
},
{
"id": 2,
"gender": "Male",
"age": 33,
"updated": "2022-04-25T18:55:23.304456Z",
"created": "2022-04-25T14:07:48.282139Z"
},
{
"id": 3,
"gender": "Female",
"age": 22,
"updated": "2022-04-25T18:55:23.304456Z",
"created": "2022-04-25T14:07:48.282139Z"
},
{
"id": 4,
"gender": "Female",
"age": 33,
"updated": "2022-04-25T18:55:23.304456Z",
"created": "2022-04-25T14:07:48.282139Z"
},
]
My goal is not to submit this raw data, but instead to submit summary data (data analysis) that calculates the average age for males and females, so I should be getting something like this:
[
{
"gender": "Male",
"average_age": 36.5,
},
{
"gender": "Male",
"average_age": 27.5,
}
]
in TestDrf.js
import React from "react"
import axios from 'axios'
export default function App() {
const [incomingData, setIncomingData] = React.useState([])
React.useEffect(function() {
console.log('effect ran')
axios.get('http://127.0.0.1:8000/test/')
.then(data => setIncomingData(data))
}, [])
return (
<div>
<pre>{JSON.stringify(incomingData.data, null, 2)}</pre>
</div>
)
}
in views.py
from rest_framework.response import Response
from rest_framework.decorators import api_view
from .models import Test
from .serializers import TestSerializer
@api_view(['GET'])
def getData(request):
test_data= Test.objects.all()
result = Test.objects.values('gender')
.annotate(average_age=Avg('age'))
serializer = TestSerializer(test_data, many=True)
return Response(serializer.data)
Where should I be making these cross tabulations? on the backend or front end? if on the backend should I be creating new models for the summary data?
I tried looking online for advice on this but I was unlucky!
CodePudding user response:
A Django query can be used in the backend to perform aggregation; new model is not needed for summary data.
An SQL query for getting average age by gender from a 'person' table would be something like this.
SELECT gender, AVG(age) AS average_age
FROM person
GROUP BY gender;
The equivalent Django query would be similar to this.
from django.db.models import Avg
result = Person.objects.values('gender')
.annotate(average_age=Avg('age'))
UPDATE: Adding a class based API view
class GetData(APIView):
def get(self):
result = Test.objects.values('gender').annotate(average_age=Avg('age'))
response_data = {}
response_data['data'] = list(result)
return Response(response_data, status=status.HTTP_200_OK)
urls.py should be updated to use this API view.
path('getdata/', GetData.as_view()),