mirror of
https://github.com/nprasad2077/nbaStats.git
synced 2026-11-04 17:19:54 +00:00
104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
import os
|
|
import sys
|
|
import django
|
|
import requests
|
|
from bs4 import BeautifulSoup, Comment
|
|
import csv
|
|
import json
|
|
import time
|
|
import re
|
|
|
|
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
|
|
|
|
|
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'nba_stats.settings')
|
|
django.setup()
|
|
|
|
from nba_data.models import PlayerSalaryData
|
|
|
|
# Change CHO to CHA 2014 and prior.
|
|
# Change NOP to NOH for 2013 and prior.
|
|
# Change OKC to SEA for 2008 and prior.
|
|
# Change NOH to NOK for 2007 and 2006
|
|
# Change NOK to NOH for 2005 and prior.
|
|
# Change NOH to CHH for 2002 and prior. NOLA did not have a team before 2003.
|
|
# Change WAS to WSB for 1997 and prior.
|
|
# Change BRK to NJN for 2012 and prior.
|
|
# Change MEM to VAN for 2001 and prior.
|
|
# 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', 'CHO']
|
|
teams_test = ['HOU', 'PHI', 'BOS']
|
|
|
|
season = input('What season? ')
|
|
|
|
for team in teams:
|
|
url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
|
|
response = requests.get(url_make)
|
|
|
|
soup = BeautifulSoup(response.text, "html.parser")
|
|
|
|
comment = soup.find(string=lambda text: isinstance(text, Comment) and "salaries2" in text)
|
|
table_soup = BeautifulSoup(comment, "html.parser")
|
|
table = table_soup.find("table", {'class': 'suppress_all stats_table', 'id': 'salaries2'})
|
|
|
|
if table is None:
|
|
print(f"Table not found for team {team} and season {season}.")
|
|
# sys.exit(1)
|
|
continue
|
|
|
|
header_row = table.find("thead").find("tr")
|
|
rows = table.find("tbody").find_all("tr")
|
|
|
|
|
|
# Extract coloumn headers
|
|
headers = ['player_name']
|
|
headers.extend([col.text.strip() for col in header_row.find_all("th")][2:])
|
|
headers.extend(['team', 'season']) # Add 'team' and 'season' fields to headers
|
|
|
|
# Extract rows as dictionaries
|
|
data = []
|
|
for row in rows:
|
|
cols = row.find_all("td")
|
|
cols = [col.text.strip() for col in cols]
|
|
row_dict = {header: (None if col == "" else col) for header, col in zip(headers, cols)}
|
|
row_dict['team'] = team
|
|
row_dict['season'] = season
|
|
data.append(row_dict)
|
|
|
|
|
|
# locate current directory
|
|
script_dir = os.path.dirname(os.path.abspath(__file__))
|
|
|
|
# save as CSV file
|
|
csv_output_path = os.path.join(script_dir, '..', 'data', f'{team}_{season}_player_salary_output.csv')
|
|
with open(csv_output_path, "w", newline="") as csvfile:
|
|
writer = csv.DictWriter(csvfile, fieldnames=headers)
|
|
writer.writeheader()
|
|
for row in data:
|
|
writer.writerow(row)
|
|
|
|
# Save as JSON
|
|
json_output_path = os.path.join(script_dir, '..', 'data', f'{team}_{season}_player_salary_output.json')
|
|
with open(json_output_path, 'w') as jsonfile:
|
|
json.dump(data, jsonfile)
|
|
|
|
# save data to database
|
|
|
|
for row in data:
|
|
|
|
row['Salary'] = int(row['Salary'].replace(',', '').replace('$', '')) if row['Salary'] else None
|
|
|
|
player_data = PlayerSalaryData(
|
|
player_name = row['player_name'],
|
|
salary = row['Salary'],
|
|
team = row['team'],
|
|
season = row['season'],
|
|
)
|
|
player_data.save()
|
|
|
|
print('success')
|
|
|
|
|
|
|