import re

def fb_match_lineups(pageSoup):
    """
    Extracts matchday squad information (formation, starters, bench) for a given match
    
    Parameters:
    pageSoup (html document): bs4 object of a match

    Returns:
    dict: squad information
    """

    # Find lineup object
    lineup = pageSoup.find_all('div', {'class' : 'lineup'})

    # Home team
    lineup_x = lineup[0].find('table').find_all('tr')
    formation_x = lineup_x[0].text
    # generate empty lists
    squad_x = []
    bench_x = []
    role = 'starter'

    # iterate through each player and store status and id
    for row in lineup_x[1:]:
        if row == lineup_x[12]:
            role = 'bench'
            continue

        if role == 'starter':
            squad_x.append(row.find('a', href=True)['href'])
        elif role == 'bench':
            bench_x.append(row.find('a', href=True)['href'])

    # Away team        
    lineup_y = lineup[1].find('table').find_all('tr')
    formation_y = lineup_y[0].text
    # generate empty lists
    squad_y = []
    bench_y = []
    role = 'starter'

    # iterate through each player and store status and id
    for row in lineup_y[1:]:
        if row == lineup_y[12]:
            role = 'bench'
            continue

        if role == 'starter':
            squad_y.append(row.find('a', href=True)['href'])
        elif role == 'bench':
            bench_y.append(row.find('a', href=True)['href'])

    # pattern to extract formation
    pattern = r'\(([^)]+)\)'

    # generate dictionary
    mydict = {'formation_x' : re.search(pattern, formation_x).group(1),
              'formation_y' : re.search(pattern, formation_y).group(1),
              'squad_x' : squad_x,
              'bench_x' : bench_x,
              'squad_y' : squad_y,
              'bench_y' : bench_y}
    
    return mydict
import re

def fb_match_lineups(pageSoup):
    """
    Extracts matchday squad information (formation, starters, bench) for a given match
    
    Parameters:
    pageSoup (html document): bs4 object of a match

    Returns:
    dict: squad information
    """

    # Find lineup object
    lineup = pageSoup.find_all('div', {'class' : 'lineup'})

    # Home team
    lineup_x = lineup[0].find('table').find_all('tr')
    formation_x = lineup_x[0].text
    # generate empty lists
    squad_x = []
    bench_x = []
    role = 'starter'

    # iterate through each player and store status and id
    for row in lineup_x[1:]:
        if row == lineup_x[12]:
            role = 'bench'
            continue

        if role == 'starter':
            squad_x.append(row.find('a', href=True)['href'])
        elif role == 'bench':
            bench_x.append(row.find('a', href=True)['href'])

    # Away team        
    lineup_y = lineup[1].find('table').find_all('tr')
    formation_y = lineup_y[0].text
    # generate empty lists
    squad_y = []
    bench_y = []
    role = 'starter'

    # iterate through each player and store status and id
    for row in lineup_y[1:]:
        if row == lineup_y[12]:
            role = 'bench'
            continue

        if role == 'starter':
            squad_y.append(row.find('a', href=True)['href'])
        elif role == 'bench':
            bench_y.append(row.find('a', href=True)['href'])

    # pattern to extract formation
    pattern = r'\(([^)]+)\)'

    # generate dictionary
    mydict = {'formation_x' : re.search(pattern, formation_x).group(1),
              'formation_y' : re.search(pattern, formation_y).group(1),
              'squad_x' : squad_x,
              'bench_x' : bench_x,
              'squad_y' : squad_y,
              'bench_y' : bench_y}
    
    return mydict
Extracts matchday squad information (formation, starters, bench) for a given match          Parameters:     pageSoup (html document): bs4 object of a match      Returns:     dict: squad information # Find lineup object # Home team # generate empty lists # iterate through each player and store status and id # Away team # generate empty lists # iterate through each player and store status and id # pattern to extract formation # generate dictionary