delete advanced data mgmt script

Mbp

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/management/commands/delete_advanced_data.py

@@ -0,0 +1,18 @@
+from django.core.management.base import BaseCommand
+from nba_data.models import PlayerAdvancedData
+from django.db import connection
+
+class Command(BaseCommand):
+    # Provides a description for use with the custom django management command (python manage.py help).
+    help = 'Delete all player ADVANCED data with season specified and reset primary key sequence in DB' 
+    
+    def handle(self, *args, **options):
+        # Delete player data with season
+        season = 2006
+        PlayerAdvancedData.objects.filter(season=season).delete()
+        
+        # Reset the PK sequence
+        with connection.cursor() as cursor:
+            cursor.execute('ALTER SEQUENCE nba_data_playeradvanceddata_id_seq RESTART WITH 1;')
+        
+        self.stdout.write(self.style.SUCCESS('Successfully deleted all players with season = {} in DB'.format(season)))

nba_data/migrations/0018_alter_playeradvanceddata_ft_attempt_rate.py

@@ -0,0 +1,18 @@
+# Generated by Django 4.2 on 2023-09-20 07:36
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('nba_data', '0017_alter_playershotchartdata_result'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='playeradvanceddata',
+            name='ft_attempt_rate',
+            field=models.DecimalField(decimal_places=3, max_digits=8, null=True),
+        ),
+    ]

nba_data/models.py

@@ -79,7 +79,7 @@ class PlayerAdvancedData(models.Model):
     PER = models.DecimalField(max_digits=6, decimal_places=1, null=True)
     TS_percent = models.DecimalField(max_digits=5, decimal_places=3, null=True)
     three_p_attempt_rate = models.DecimalField(max_digits=5, decimal_places=3, null=True)
-    ft_attempt_rate = models.DecimalField(max_digits=5, decimal_places=3, null=True)
+    ft_attempt_rate = models.DecimalField(max_digits=8, decimal_places=3, null=True)
     orb_percent = models.DecimalField(max_digits=5, decimal_places=2, null=True)
     drb_percent = models.DecimalField(max_digits=5, decimal_places=2, null=True)
     trb_percent = models.DecimalField(max_digits=5, decimal_places=2, null=True)

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 teams_data:
     url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
     response = requests.get(url_make)
 

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']
-
-
-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']
+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_shot_chart.py

@@ -12,10 +12,11 @@ django.setup()
 
 from nba_data.models import PlayerShotChartData
 
-player_name = 'James Harden'
-season = 2010
-# team = 'LAL'  # You might want to find a way to get this from the webpage
-url = 'https://www.basketball-reference.com/players/h/hardeja01/shooting/' + \
+player_name = 'Damian Lillard'
+season = 2013
+
+# 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)

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)