central teams list

Dev

README.md

@@ -6,24 +6,29 @@ This documentation provides the necessary information to use the NBA Stats API.
 
 ---
 
+# [View API Documentation](https://documenter.getpostman.com/view/24232555/2s93shzpR3)
+
+---
+
 ### Base URL
 
 All URLs referenced in this documentation use the following base URL:
 
-> https://nba-stats-db.herokuapp.com/
+> <https://nba-stats-db.herokuapp.com/>
 
 ### Endpoints
 
 Top 20 Scorers by Season
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/total/season/2023/
+> <https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/total/season/2023/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -103,13 +108,14 @@ Content:
 Top 20 Scorers in Playoffs
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/playoffs/2022/
+> <https://nba-stats-db.herokuapp.com/api/playerdata/topscorers/playoffs/2022/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -189,13 +195,14 @@ Content:
 Top 20 Assists by Season
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/top_assists/totals/2023/
+> <https://nba-stats-db.herokuapp.com/api/top_assists/totals/2023/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -275,14 +282,14 @@ Content:
 Top 20 Assists in Playoffs
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/top_assists/playoffs/2022/
+> <https://nba-stats-db.herokuapp.com/api/top_assists/playoffs/2022/>
-
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,
@@ -362,13 +369,14 @@ Content:
 Top 20 Rebounders (Total Rebounds) by Season
 Method: `Get`
 
-> https://nba-stats-db.herokuapp.com/api/top_rebounds/totals/2023/
+> <https://nba-stats-db.herokuapp.com/api/top_rebounds/totals/2023/>
 
 Success Response:
 
 `Code: 200`
 
 Content:
+
 ```
 {
     "count": 20,

USAGE.md

@@ -0,0 +1,5 @@
+# Activate Python Shell
+
+```
+source venv/bin/activate
+```

nba_data/data.py

@@ -0,0 +1 @@
+teams_data = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOK', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']

nba_data/nba_scraper_advanced.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -27,10 +28,11 @@ from nba_data.models import PlayerAdvancedData
 # Change MEM to VAN for 2001 and prior.
 # Change LAC to SDC for 1984 and prior.
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+
 season = input('What season? ')
 
-for team in teams:
+for team in teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_playoffs_advanced.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -29,13 +30,11 @@ from nba_data.models import PlayerPlayoffAdvancedData
 
 teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
 
-teams2 = ['HOU' ,'PHI', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
-
-team_abbreviations = ['ATL', 'BOS', 'BRK', 'CHI', 'CHO', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHO', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']
-
 season = input('What season? ')
 
-for team in teams:
+teams2 = 'PHI'
+
+for team in teams2:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_playoffs_advanced_player.py

@@ -27,7 +27,7 @@ from nba_data.models import PlayerPlayoffAdvancedData
 # Change LAC to SDC for 1984 and prior.
 
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'BRK', 'TOR', 'MEM', 'NOP', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['ATL', 'BOS', 'BRK', 'CHI', 'CHO', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHO', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']
 
 single_team = ['GSW']
 

nba_data/nba_scraper_playoffs_totals.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -27,14 +28,11 @@ from nba_data.models import PlayerPlayoffTotalsData
 # Change LAC to SDC for 1984 and prior.
 
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
-
-
-team_abbreviations = ['ATL', 'BOS', 'BRK', 'CHI', 'CHO', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHO', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']
 
 season = input('What season? ')
 
-for team in teams:
+for team in teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/nba_scraper_shot_chart.py

@@ -12,10 +12,11 @@ django.setup()
 
 from nba_data.models import PlayerShotChartData
 
-player_name = 'LeBron James'
+player_name = 'Damian Lillard'
-season = 2014
+season = 2013
-# team = 'LAL'  # You might want to find a way to get this from the webpage
+
-url = 'https://www.basketball-reference.com/players/j/jamesle01/shooting/' + \
+# Player name and season will be inserted into DB. Modify before running script. 
+url = 'https://www.basketball-reference.com/players/l/lillada01/shooting/' + \
     str(season)
 
 response = requests.get(url)
@@ -110,4 +111,4 @@ try:
 except Exception as e:
     print(f"Error inserting data into database: {e}")
 
-print('success')
+print(f"success {player_name} {season}")

nba_data/nba_scraper_totals.py

@@ -6,6 +6,7 @@ from bs4 import BeautifulSoup
 import csv
 import json
 import time
+from data import teams_data
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -26,14 +27,14 @@ from nba_data.models import PlayerTotalsData
 # Change MEM to VAN for 2001 and prior.
 # Change LAC to SDC for 1984 and prior.
 
-teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'OKC', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
+teams = ['HOU' ,'PHI', 'BOS', 'NYK', 'NJN', 'TOR', 'MEM', 'NOH', 'DAL', 'SAS', 'DEN', 'MIN', 'SEA', 'UTA', 'POR', 'MIL', 'CLE', 'CHI', 'IND', 'DET', 'SAC', 'PHO', 'GSW', 'LAC', 'LAL', 'MIA', 'ATL', 'WAS', 'ORL', 'CHA']
 
 
 # team = input('What team? ') 
 #  OMIT above. Will now only ask for season and iterate thru teams list.
 season = input('What season? ')
 
-for team in teams:
+for team in teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

nba_data/views.py

@@ -30,22 +30,22 @@ class PlayerDataByTeamList(generics.ListAPIView):
         return PlayerData.objects.filter(team=team)
 
 
-# Fetch player data by season
+# Fetch player totals data by season
 class PlayerDataBySeasonList(generics.ListAPIView):
-    serializer_class = PlayerDataSerializer
+    serializer_class = PlayerTotalsDataSerializer
 
     def get_queryset(self):
         season = self.kwargs['season']
-        return PlayerData.objects.filter(season=season)
+        return PlayerTotalsData.objects.filter(season=season)
 
 
-# Fetch player data by player name
+# Fetch player totals data by player name
 class PlayerDataByNameList(generics.ListAPIView):
-    serializer_class = PlayerDataSerializer
+    serializer_class = PlayerTotalsDataSerializer
 
     def get_queryset(self):
         name = self.kwargs['name']
-        return PlayerData.objects.filter(name__icontains=name)
+        return PlayerTotalsData.objects.filter(player_name__icontains=name)
 
 
 # Fetch Top 20 players by PTS DESC for the season specified.
@@ -62,7 +62,7 @@ class TopScorersbySeasonTotalsList(generics.ListAPIView):
     
     def get_queryset(self):
         season = self.kwargs['season']
-        return PlayerTotalsData.objects.filter(season=season).order_by('-PTS')[:20]
+        return PlayerTotalsData.objects.filter(season=season).order_by('-PTS')[:200]
 
 
 # Fetch and calculate the average 3P made, 3P attemps, 2P made, 2P attempts for all players in each season.
@@ -631,7 +631,7 @@ class TopScorersbySeasonListPlayoffs(generics.ListAPIView):
 
     def get_queryset(self):
         season = self.kwargs['season']
-        return PlayerPlayoffTotalsData.objects.filter(season=season).order_by('-PTS')[:20]
+        return PlayerPlayoffTotalsData.objects.filter(season=season).order_by('-PTS')[:200]
     
 
 class TopAssistsBySeasonListPlayoffs(generics.ListAPIView):