from constants import PLAYER_NAME_COLUMNS, ordinal


def generate_player_table(df):
    header = [["Player", "Appearances", "Avg. Relative Percentile", "Spent"]]

    player_stats = []
    for name in PLAYER_NAME_COLUMNS:
        if name in df.columns:
            attended = df[df[name] == 1]
            n = len(attended)
            if n > 0:
                avg_rel = attended["Relative Position"].mean()
                player_stats.append((name, n, avg_rel))

    player_stats.sort(key=lambda x: x[1], reverse=True)
    total = sum(n for _, n, _ in player_stats)

    body = [
        [name, n, ordinal(round(avg_rel * 100)), f"£{n * 3:.2f}"]
        for name, n, avg_rel in player_stats
    ]
    footer = [["Total", total, "—", f"£{total * 3:.2f}"]]

    return header + body + footer