mirror of
https://github.com/nprasad2077/nbaStats.git
synced 2026-11-04 17:19:54 +00:00
107 lines
3.5 KiB
Python
107 lines
3.5 KiB
Python
import os
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import sys
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import django
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import requests
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from bs4 import BeautifulSoup
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import csv
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import json
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import time
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'nba_stats.settings')
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django.setup()
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from nba_data.models import PlayerAdvancedData
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# If season is 2014, then change CHO to CHA
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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', 'CHO']
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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']
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season = input('What season? ')
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for team in teams:
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url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
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response = requests.get(url_make)
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soup = BeautifulSoup(response.text, "html.parser")
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table = soup.find("table", {"id": "advanced"})
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if table is None:
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print(f"Table not found for team {team} and season {season}.")
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# sys.exit(1)
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continue
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header_row = table.find("thead").find("tr")
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rows = table.find("tbody").find_all("tr")
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# Extract coloumn headers
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headers = [col.text.strip() for col in header_row.find_all("th")][1:]
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headers.extend(['team', 'season']) # Add 'team' and 'season' fields to headers
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# Extract rows as dictionaries
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data = []
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for row in rows:
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cols = row.find_all("td")
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cols = [col.text.strip() for col in cols]
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row_dict = {header: (None if col == "" else col) for header, col in zip(headers, cols)}
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row_dict['team'] = team
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row_dict['season'] = season
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data.append(row_dict)
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# locate current directory
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script_dir = os.path.dirname(os.path.abspath(__file__))
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# save as CSV file
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csv_output_path = os.path.join(script_dir, '..', 'data', f'{team}_{season}_advanced_output.csv')
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with open(csv_output_path, "w", newline="") as csvfile:
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writer = csv.DictWriter(csvfile, fieldnames=headers)
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writer.writeheader()
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for row in data:
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writer.writerow(row)
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# Save as JSON
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json_output_path = os.path.join(script_dir, '..', 'data', f'{team}_{season}_advanced_output.json')
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with open(json_output_path, 'w') as jsonfile:
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json.dump(data, jsonfile)
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# save data to database
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for row in data:
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player_data = PlayerAdvancedData(
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player_name = row['Player'],
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age = row['Age'],
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games = row['G'],
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minutes_played = row['MP'],
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PER = row['PER'],
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TS_percent = row['TS%'],
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three_p_attempt_rate = row['3PAr'],
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ft_attempt_rate = row['FTr'],
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orb_percent = row['ORB%'],
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drb_percent = row['DRB%'],
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trb_percent = row['TRB%'],
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ast_percent = row['AST%'],
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stl_percent = row['STL%'],
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blk_percent = row['BLK%'],
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tov_percent = row['TOV%'],
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usg_percent = row['USG%'],
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ows = row['OWS'],
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dws = row['DWS'],
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ws = row['WS'],
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ws_per_48 = row['WS/48'],
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obpm = row['OBPM'],
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dbpm = row['DBPM'],
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bpm = row['BPM'],
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vorp = row['VORP'],
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team = row['team'],
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season = row['season'],
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)
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player_data.save()
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print('success')
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