mirror of
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672 lines
27 KiB
Python
672 lines
27 KiB
Python
from django.shortcuts import render
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from django.http import JsonResponse, Http404
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from django.core import serializers
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from .models import PlayerData, PlayerTotalsData, PlayerAdvancedData, PlayerPlayoffTotalsData, PlayerPlayoffAdvancedData, PlayerShotChartData
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from rest_framework import generics
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from .serializers import PlayerDataSerializer, HistogramDataSerializer, PlayerPlayoffTotalsDataSerializer, PlayerTotalsDataSerializer, PlayerShotChartDataSerializer
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from rest_framework.views import APIView
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from rest_framework.response import Response
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from django.db.models import Avg, Sum, F, Min, Max
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from collections import Counter
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import math
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from django.db import connection
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# Create your views here.
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# API view to list all PlayerData instances
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class PlayerDataList(generics.ListCreateAPIView):
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queryset = PlayerData.objects.all().order_by('id')
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serializer_class = PlayerDataSerializer
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# pagination_class = None
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# Fetch player data by team
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class PlayerDataByTeamList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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team = self.kwargs['team']
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return PlayerData.objects.filter(team=team)
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# Fetch player totals data by season
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class PlayerDataBySeasonList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season)
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# Fetch player totals data by player name
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class PlayerDataByNameList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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name = self.kwargs['name']
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return PlayerTotalsData.objects.filter(player_name__icontains=name)
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# Fetch Top 20 players by PTS DESC for the season specified.
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class TopScorersbySeasonList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerData.objects.filter(season=season).order_by('-PTS')[:20]
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# Fetch Top 20 players by total PTS for season.
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class TopScorersbySeasonTotalsList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season).order_by('-PTS')[:200]
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# Fetch and calculate the average 3P made, 3P attemps, 2P made, 2P attempts for all players in each season.
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# 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.
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class ThreeTwoTopPointTrends(APIView):
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def get(self, request, format=None):
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seasons = PlayerData.objects.values_list(
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'season', flat=True).distinct().order_by('season')
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data = []
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for season in seasons:
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season_data = PlayerData.objects.filter(season=season)
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avg_three_made = season_data.aggregate(Avg('three_fg'))[
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'three_fg__avg']
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avg_three_attempts = season_data.aggregate(Avg('three_attempts'))[
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'three_attempts__avg']
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avg_two_made = season_data.aggregate(Avg('two_fg'))['two_fg__avg']
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avg_two_attempts = season_data.aggregate(Avg('two_attempts'))[
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'two_attempts__avg']
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data.append({
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'season': season,
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'avg_three_made': avg_three_made,
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'avg_three_attempts': avg_three_attempts,
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'avg_two_made': avg_two_made,
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'avg_two_attempts': avg_two_attempts,
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})
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return Response(data)
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# Fetch Top 20 players by AST DESC for season specified.
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class TopAssistsBySeasonList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerData.objects.filter(season=season).order_by('-AST')[:20]
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# Fetch Top 20 players by AST totals DESC for the season
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class TopAssistsBySeasonTotalsList(generics.ListAPIView):
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serializer_class = PlayerPlayoffTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season).order_by('-AST')[:20]
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# Fetch Top 20 players by TRB DESC for season specified.
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class TopReboundsBySeasonList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerData.objects.filter(season=season).order_by('-TRB')[:20]
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# Fetch top 20 players by TRB Totals for season.
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class TopReboundsbySeasonTotalsList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season).order_by('-TRB')[:20]
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# Fetch Top 20 players by BLK DESC for specified season.
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class TopBlocksBySeasonList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerData.objects.filter(season=season).order_by('-BLK')[:20]
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# Fetch Top 20 players by BLK totals DESC for specified season.
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class TopBlocksbySeasonTotalsList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season).order_by('-BLK')[:20]
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# Fetch Top 20 players by STL DESC for season specified.
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class TopStealsBySeasonList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerData.objects.filter(season=season).order_by('-STL')[:20]
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# Fetch Top 20 players by STL totals DESC for season specified.
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class TopStealsbySeasonTotalsList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season).order_by('-STL')[:20]
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# Fetch Top 20 players by ORB DESC for season.
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class TopOffensiveReboundsBySeasonList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerData.objects.filter(season=season).order_by('-ORB')[:20]
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# Fetch Top 20 players by ORB totals DESC for season.
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class TopOffensiveReboundsbySeasonTotalsList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season).order_by('-ORB')[:20]
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# Fetch Top 20 players by DRB DESC for season.
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class TopDefensiveReboundsBySeasonList(generics.ListAPIView):
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serializer_class = PlayerDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerData.objects.filter(season=season).order_by('-DRB')[:20]
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# Fetch Top 20 players by DRB totals DESC for season.
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class TopDefensiveReboundsBySeasonTotalsList(generics.ListAPIView):
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serializer_class = PlayerTotalsDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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return PlayerTotalsData.objects.filter(season=season).order_by('-DRB')[:20]
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# PTS Histogram
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class PointsPerGameHistogramBySeasonList(generics.ListAPIView):
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serializer_class = HistogramDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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queryset = PlayerData.objects.filter(season=season)
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# Get the points per game for each player
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points_per_game_list = [float(player.PTS) for player in queryset]
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# Define histogram bins (e.g., 0-5, 5-10, 10-15, etc.)
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bin_ranges = range(0, int(math.ceil(max(points_per_game_list))) + 1, 5)
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histogram_data = Counter()
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# Fill the histogram with data
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for ppg in points_per_game_list:
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bin_index = next(
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(i for i, r in enumerate(bin_ranges) if r >= ppg), -1)
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if bin_index >= 1:
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bin_label = f"{bin_ranges[bin_index - 1]}-{bin_ranges[bin_index]}"
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histogram_data[bin_label] += 1
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# Convert histogram_data to list of dicts for serialization
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histogram_list = [{"range": k, "count": v}
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for k, v in histogram_data.items()]
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return histogram_list
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# USG Percent Histogram
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class UsageRateHistogramView(generics.ListAPIView):
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serializer_class = HistogramDataSerializer
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def get_queryset(self):
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season = self.kwargs['season']
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queryset = PlayerAdvancedData.objects.filter(season=season)
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# Get the usage rates for each player, ignoring null values
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usage_rate_list = [player.usg_percent for player in queryset if player.usg_percent is not None]
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# Define histogram bins for usage rate ranges
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bin_ranges = [i * 5 for i in range(21)] # 0, 5, 10, ..., 100
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histogram_data = Counter()
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# Fill the histogram with data
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for usage_rate in usage_rate_list:
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bin_index = next(
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(i for i, r in enumerate(bin_ranges) if r >= usage_rate), -1)
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if bin_index >= 1:
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bin_label = f"{bin_ranges[bin_index - 1]}-{bin_ranges[bin_index]}"
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histogram_data[bin_label] += 1
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# Convert histogram_data to list of dicts for serialization
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histogram_list = [{"range": k, "count": v}
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for k, v in histogram_data.items()]
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return histogram_list
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# Scatter Plot - Top 25 players by total PTS across all seasons in DB. Then map those 25 players on a scatter plot against total PTS/WS for each season.
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class TopPtsScatterPlotData(APIView):
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def get(self, request, *args, **kwargs):
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# Get the top 25 players by overall PTS
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top_players = PlayerTotalsData.objects.values('player_name') \
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.annotate(total_pts=Sum(F('PTS'))) \
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.order_by('-total_pts')[:25]
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# Get the PTS and WS for the corresponding seasons of the top 25 players
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data = []
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for player in top_players:
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player_name = player['player_name']
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player_seasons = PlayerTotalsData.objects.filter(player_name=player_name) \
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.values('season') \
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.annotate(total_pts=Sum(F('PTS'))) \
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.order_by('season')
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# Combine the WS data from PlayerAdvancedData
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for season in player_seasons:
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season_ws = PlayerAdvancedData.objects.filter(player_name=player_name, season=season['season']) \
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.aggregate(total_ws=Sum('ws'))
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season['total_ws'] = season_ws['total_ws']
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data.append({
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'player_name': player_name,
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'seasons': list(player_seasons)
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})
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return Response(data)
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# change lines 223, 227, and 233 where the comments are to alter seasons returned.
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class TopPtsScatterPlotDataFast(APIView):
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def get(self, request):
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with connection.cursor() as cursor:
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cursor.execute("""
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-- The modified query from earlier
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WITH player_season_pts AS (
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SELECT player_name, season, SUM("PTS") as season_pts
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FROM nba_data_playertotalsdata
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WHERE player_name IN (SELECT player_name FROM (
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SELECT player_name, SUM("PTS") as total_pts
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FROM nba_data_playertotalsdata
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-- WHERE season >= 2021
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GROUP BY player_name
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ORDER BY total_pts DESC
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LIMIT 25) as top_25_players)
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-- AND season >= 2021
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GROUP BY player_name, season
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),
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player_season_ws AS (
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SELECT player_name, season, SUM("ws") as season_ws
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FROM nba_data_playeradvanceddata
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-- WHERE season >= 2021
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GROUP BY player_name, season
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)
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SELECT player_season_pts.player_name, player_season_pts.season, player_season_pts.season_pts, player_season_ws.season_ws
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FROM player_season_pts
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JOIN player_season_ws
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ON player_season_pts.player_name = player_season_ws.player_name AND player_season_pts.season = player_season_ws.season
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ORDER BY player_season_pts.player_name, player_season_pts.season;
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""")
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rows = cursor.fetchall()
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result = []
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for row in rows:
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player_name, season, season_pts, season_ws = row
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result.append({
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'player_name': player_name,
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'season': season,
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'season_pts': season_pts,
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'season_ws': season_ws
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})
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return Response(result)
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class TopPtsScatterPlotDataFast2018(APIView):
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def get(self, request):
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with connection.cursor() as cursor:
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cursor.execute("""
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-- The modified query from earlier
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WITH player_season_pts AS (
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SELECT player_name, season, SUM("PTS") as season_pts
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FROM nba_data_playertotalsdata
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WHERE player_name IN (SELECT player_name FROM (
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SELECT player_name, SUM("PTS") as total_pts
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FROM nba_data_playertotalsdata
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WHERE season >= 2018
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GROUP BY player_name
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ORDER BY total_pts DESC
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LIMIT 25) as top_25_players)
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AND season >= 2018
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GROUP BY player_name, season
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),
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player_season_ws AS (
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SELECT player_name, season, SUM("ws") as season_ws
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FROM nba_data_playeradvanceddata
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WHERE season >= 2018
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GROUP BY player_name, season
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)
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SELECT player_season_pts.player_name, player_season_pts.season, player_season_pts.season_pts, player_season_ws.season_ws
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FROM player_season_pts
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JOIN player_season_ws
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ON player_season_pts.player_name = player_season_ws.player_name AND player_season_pts.season = player_season_ws.season
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ORDER BY player_season_pts.player_name, player_season_pts.season;
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""")
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rows = cursor.fetchall()
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result = []
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for row in rows:
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player_name, season, season_pts, season_ws = row
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result.append({
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'player_name': player_name,
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'season': season,
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'season_pts': season_pts,
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'season_ws': season_ws
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})
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return Response(result)
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class TopPtsScatterPlotDataFastSelect(APIView):
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def get(self, request, season):
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with connection.cursor() as cursor:
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cursor.execute("""
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WITH player_season_pts AS (
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SELECT player_name, season, SUM("PTS") as season_pts
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FROM nba_data_playertotalsdata
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WHERE player_name IN (SELECT player_name FROM (
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SELECT player_name, SUM("PTS") as total_pts
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FROM nba_data_playertotalsdata
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WHERE season >= %s
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GROUP BY player_name
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ORDER BY total_pts DESC
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LIMIT 25) as top_25_players)
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AND season >= %s
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GROUP BY player_name, season
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),
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player_season_ws AS (
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SELECT player_name, season, SUM("ws") as season_ws
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FROM nba_data_playeradvanceddata
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WHERE season >= %s
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GROUP BY player_name, season
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)
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SELECT player_season_pts.player_name, player_season_pts.season, player_season_pts.season_pts, player_season_ws.season_ws
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FROM player_season_pts
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JOIN player_season_ws
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ON player_season_pts.player_name = player_season_ws.player_name AND player_season_pts.season = player_season_ws.season
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ORDER BY player_season_pts.player_name, player_season_pts.season;
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""", (season, season, season))
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rows = cursor.fetchall()
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result = []
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for row in rows:
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player_name, season, season_pts, season_ws = row
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result.append({
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'player_name': player_name,
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'season': season,
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'season_pts': season_pts,
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'season_ws': season_ws
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})
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return Response(result)
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# Top 20 players in playoffs by PTS X ws for scatter plot in chart.js
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class Top20ScorersPost2009WS(APIView):
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def get(self, request):
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with connection.cursor() as cursor:
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cursor.execute("""
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WITH player_playoff_pts AS (
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SELECT player_name, season, SUM("PTS") as season_pts
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FROM nba_data_playerplayofftotalsdata
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WHERE player_name IN (SELECT player_name FROM (
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SELECT player_name, SUM("PTS") as total_pts
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FROM nba_data_playerplayofftotalsdata
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WHERE season >= 2010
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GROUP BY player_name
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ORDER BY total_pts DESC
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LIMIT 25) as top_25_players)
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AND season >= 2010
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GROUP BY player_name, season
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),
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player_playoff_ws AS (
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SELECT player_name, season, SUM("ws") as season_ws
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FROM nba_data_playerplayoffadvanceddata
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WHERE season >= 2010
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GROUP BY player_name, season
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)
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SELECT player_playoff_pts.player_name, player_playoff_pts.season, player_playoff_pts.season_pts, player_playoff_ws.season_ws
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FROM player_playoff_pts
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JOIN player_playoff_ws
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ON player_playoff_pts.player_name = player_playoff_ws.player_name AND player_playoff_pts.season = player_playoff_ws.season
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ORDER BY player_playoff_pts.player_name, player_playoff_pts.season;
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""")
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rows = cursor.fetchall()
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result = []
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for row in rows:
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player_name, season, season_pts, season_ws = row
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result.append({
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'player_name': player_name,
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'season': season,
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'season_pts': season_pts,
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'season_ws': season_ws
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})
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return Response(result)
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class Top20ScorersPost2014WS(APIView):
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def get(self, request):
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with connection.cursor() as cursor:
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cursor.execute("""
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WITH player_playoff_pts AS (
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SELECT player_name, season, SUM("PTS") as season_pts
|
|
FROM nba_data_playerplayofftotalsdata
|
|
WHERE player_name IN (SELECT player_name FROM (
|
|
SELECT player_name, SUM("PTS") as total_pts
|
|
FROM nba_data_playerplayofftotalsdata
|
|
WHERE season >= 2015
|
|
GROUP BY player_name
|
|
ORDER BY total_pts DESC
|
|
LIMIT 25) as top_25_players)
|
|
AND season >= 2015
|
|
GROUP BY player_name, season
|
|
),
|
|
player_playoff_ws AS (
|
|
SELECT player_name, season, SUM("ws") as season_ws
|
|
FROM nba_data_playerplayoffadvanceddata
|
|
WHERE season >= 2015
|
|
GROUP BY player_name, season
|
|
)
|
|
SELECT player_playoff_pts.player_name, player_playoff_pts.season, player_playoff_pts.season_pts, player_playoff_ws.season_ws
|
|
FROM player_playoff_pts
|
|
JOIN player_playoff_ws
|
|
ON player_playoff_pts.player_name = player_playoff_ws.player_name AND player_playoff_pts.season = player_playoff_ws.season
|
|
ORDER BY player_playoff_pts.player_name, player_playoff_pts.season;
|
|
""")
|
|
rows = cursor.fetchall()
|
|
|
|
result = []
|
|
for row in rows:
|
|
player_name, season, season_pts, season_ws = row
|
|
result.append({
|
|
'player_name': player_name,
|
|
'season': season,
|
|
'season_pts': season_pts,
|
|
'season_ws': season_ws
|
|
})
|
|
|
|
return Response(result)
|
|
|
|
class Top20ScorersPost2018WS(APIView):
|
|
def get(self, request):
|
|
with connection.cursor() as cursor:
|
|
cursor.execute("""
|
|
WITH player_playoff_pts AS (
|
|
SELECT player_name, season, SUM("PTS") as season_pts
|
|
FROM nba_data_playerplayofftotalsdata
|
|
WHERE player_name IN (SELECT player_name FROM (
|
|
SELECT player_name, SUM("PTS") as total_pts
|
|
FROM nba_data_playerplayofftotalsdata
|
|
WHERE season >= 2019
|
|
GROUP BY player_name
|
|
ORDER BY total_pts DESC
|
|
LIMIT 25) as top_25_players)
|
|
AND season >= 2019
|
|
GROUP BY player_name, season
|
|
),
|
|
player_playoff_ws AS (
|
|
SELECT player_name, season, SUM("ws") as season_ws
|
|
FROM nba_data_playerplayoffadvanceddata
|
|
WHERE season >= 2019
|
|
GROUP BY player_name, season
|
|
)
|
|
SELECT player_playoff_pts.player_name, player_playoff_pts.season, player_playoff_pts.season_pts, player_playoff_ws.season_ws
|
|
FROM player_playoff_pts
|
|
JOIN player_playoff_ws
|
|
ON player_playoff_pts.player_name = player_playoff_ws.player_name AND player_playoff_pts.season = player_playoff_ws.season
|
|
ORDER BY player_playoff_pts.player_name, player_playoff_pts.season;
|
|
""")
|
|
rows = cursor.fetchall()
|
|
|
|
result = []
|
|
for row in rows:
|
|
player_name, season, season_pts, season_ws = row
|
|
result.append({
|
|
'player_name': player_name,
|
|
'season': season,
|
|
'season_pts': season_pts,
|
|
'season_ws': season_ws
|
|
})
|
|
|
|
return Response(result)
|
|
|
|
class Top25ScorersPostSeasonPlayoffs(APIView):
|
|
def get(self, request, season):
|
|
try:
|
|
season = int(season)
|
|
except ValueError:
|
|
raise Http404("Invalid season format.")
|
|
|
|
with connection.cursor() as cursor:
|
|
cursor.execute("""
|
|
WITH player_playoff_pts AS (
|
|
SELECT player_name, season, SUM("PTS") as season_pts
|
|
FROM nba_data_playerplayofftotalsdata
|
|
WHERE player_name IN (SELECT player_name FROM (
|
|
SELECT player_name, SUM("PTS") as total_pts
|
|
FROM nba_data_playerplayofftotalsdata
|
|
WHERE season >= %s
|
|
GROUP BY player_name
|
|
ORDER BY total_pts DESC
|
|
LIMIT 25) as top_25_players)
|
|
AND season >= %s
|
|
GROUP BY player_name, season
|
|
),
|
|
player_playoff_ws AS (
|
|
SELECT player_name, season, SUM("ws") as season_ws
|
|
FROM nba_data_playerplayoffadvanceddata
|
|
WHERE season >= %s
|
|
GROUP BY player_name, season
|
|
)
|
|
SELECT player_playoff_pts.player_name, player_playoff_pts.season, player_playoff_pts.season_pts, player_playoff_ws.season_ws
|
|
FROM player_playoff_pts
|
|
JOIN player_playoff_ws
|
|
ON player_playoff_pts.player_name = player_playoff_ws.player_name AND player_playoff_pts.season = player_playoff_ws.season
|
|
ORDER BY player_playoff_pts.player_name, player_playoff_pts.season;
|
|
""", (season, season, season))
|
|
rows = cursor.fetchall()
|
|
|
|
result = []
|
|
for row in rows:
|
|
player_name, season, season_pts, season_ws = row
|
|
result.append({
|
|
'player_name': player_name,
|
|
'season': season,
|
|
'season_pts': season_pts,
|
|
'season_ws': season_ws
|
|
})
|
|
|
|
return Response(result)
|
|
|
|
|
|
|
|
class TopScorersbySeasonListPlayoffs(generics.ListAPIView):
|
|
serializer_class = PlayerPlayoffTotalsDataSerializer
|
|
|
|
def get_queryset(self):
|
|
season = self.kwargs['season']
|
|
return PlayerPlayoffTotalsData.objects.filter(season=season).order_by('-PTS')[:200]
|
|
|
|
|
|
class TopAssistsBySeasonListPlayoffs(generics.ListAPIView):
|
|
serializer_class = PlayerPlayoffTotalsDataSerializer
|
|
|
|
def get_queryset(self):
|
|
season = self.kwargs['season']
|
|
return PlayerPlayoffTotalsData.objects.filter(season=season).order_by('-AST')[:20]
|
|
|
|
|
|
class OverallDBStats(APIView):
|
|
def get(self, request):
|
|
total_players_regular = PlayerTotalsData.objects.count()
|
|
total_players_playoffs = PlayerPlayoffAdvancedData.objects.count()
|
|
regular_season_range = PlayerTotalsData.objects.aggregate(Min('season'), Max('season'))
|
|
playoffs_season_range = PlayerPlayoffAdvancedData.objects.aggregate(Min('season'), Max('season'))
|
|
|
|
response_data = {
|
|
'total_players_regular': total_players_regular,
|
|
'total_players_playoffs': total_players_playoffs,
|
|
'regular_season_range': regular_season_range,
|
|
'playoffs_season_range': playoffs_season_range,
|
|
}
|
|
|
|
return Response(response_data)
|
|
|
|
|
|
class PlayerShotChartDataList(generics.ListAPIView):
|
|
serializer_class = PlayerShotChartDataSerializer
|
|
|
|
def get_queryset(self):
|
|
player_name = self.kwargs['player_name']
|
|
season = self.kwargs['season']
|
|
return PlayerShotChartData.objects.filter(player_name__icontains=player_name, season=season).order_by('id')
|
|
|
|
|
|
def landing_page(request):
|
|
return render(request, 'landing.html') |