create view and logic to serve 2P and 3P data

nba_data/views.py

@@ -4,6 +4,9 @@ from django.core import serializers
 from .models import PlayerData
 from rest_framework import generics
 from .serializers import PlayerDataSerializer
+from rest_framework.views import APIView
+from rest_framework.response import Response
+from django.db.models import Avg
 
 
 # Create your views here.
@@ -50,3 +53,31 @@ class TopScorersbySeasonList(generics.ListAPIView):
         season = self.kwargs['season']
         return PlayerData.objects.filter(season=season).order_by('-PTS')[:20]
 
+
+# Fetch and calculate the average 3P made, 3P attemps, 2P made, 2P attempts for all players in each season.
+# Will use APIview here instead of generics.ListAPIView to avoid having to create a serializer to generate the queryset. avg_three_made and avg_two_made are new data points at the time of creation when compared to the per_game model.
+class ThreeTopPointTrends(APIView):
+    def get(self, request, format=None):
+        seasons = PlayerData.objects.values_list(
+            'season', flat=True).distinct().order_by('season')
+        data = []
+
+        for season in seasons:
+            season_data = PlayerData.objects.filter(season=season)
+            avg_three_made = season_data.aggregate(Avg('three_fg'))[
+                'three_fg_avg']
+            avg_three_attempts = season_data.aggregate(Avg('three_attempts'))[
+                'three_attempts_avg']
+            avg_two_made = season_data.aggregate(Avg('two_fg'))['two_fg_avg']
+            avg_two_attempts = season_data.aggregate(Avg('two_attempts'))[
+                'two_attempts_avg']
+
+            data.append({
+                'season': season,
+                'avg_three_made': avg_three_made,
+                'avg_three_attempts': avg_three_attempts,
+                'avg_two_made': avg_two_made,
+                'avg_two_attempts': avg_two_attempts,
+            })
+
+        return Response(data)