import os
import sys
import django
import requests
from bs4 import BeautifulSoup
import csv
import json
import time

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 PlayerAdvancedData

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']
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']

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

    soup = BeautifulSoup(response.text, "html.parser")
    
    table = soup.find("table", {"id": "advanced"})

    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 = [col.text.strip() for col in header_row.find_all("th")][1:]
    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}_advanced_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}_advanced_output.json')
    with open(json_output_path, 'w') as jsonfile:
        json.dump(data, jsonfile)

    # # save data to database
    # for row in data:
    #     player_data = PlayerData(
    #         name=row['Player'],
    #         age=row['Age'],
    #         games=row['G'],
    #         games_started=row['GS'],
    #         minutes_pg=row['MP'],
    #         field_goals=row['FG'],
    #         field_attempts=row['FGA'],
    #         field_percent=row['FG%'],
    #         three_fg=row['3P'],
    #         three_attempts=row['3PA'],
    #         three_percent=row['3P%'],
    #         two_fg=row['2P'],
    #         two_attempts=row['2PA'],
    #         two_percent=row['2P%'],
    #         effect_fg_percent=row['eFG%'],
    #         ft=row['FT'],
    #         fta=row['FTA'],
    #         ft_percent=row['FT%'],
    #         ORB=row['ORB'],
    #         DRB=row['DRB'],
    #         TRB=row['TRB'],
    #         AST=row['AST'],
    #         STL=row['STL'],
    #         BLK=row['BLK'],
    #         TOV=row['TOV'],
    #         PF=row['PF'],
    #         PTS=row['PTS'],
    #         team=row['team'],
    #         season=row['season'],
    #     )
    #     player_data.save()