from config import cfg from datetime import datetime from espn_api.football import League from gspread_dataframe import set_with_dataframe from service import gc from tabulate import tabulate import pandas as pd def aggregate_positional_points(lineup: list, position: str) -> int: response = 0 for player in lineup: if player.lineupSlot == position: response += player.points return response def extract_weekly_box_scores(league: League) -> list: result = [] for week in range(1, league.current_week + 1): matchups = league.box_scores(week=week) for matchup in matchups: result.append({ 'WEEK #': week, 'AWAY TEAM': matchup.away_team.team_name, # pyright: ignore[reportAttributeAccessIssue] 'AWAY TEAM SCORE': matchup.away_score, 'AWAY TEAM KICKER': aggregate_positional_points(matchup.away_lineup, 'K'), 'AWAY TEAM BENCH': aggregate_positional_points(matchup.away_lineup, 'BE'), 'HOME TEAM': matchup.home_team.team_name, # pyright: ignore[reportAttributeAccessIssue] 'HOME TEAM SCORE': matchup.home_score, 'HOME TEAM KICKER': aggregate_positional_points(matchup.home_lineup, 'K'), 'HOME TEAM BENCH': aggregate_positional_points(matchup.home_lineup, 'BE') }) return result def write_to_google_spreadsheet(df: pd.DataFrame): spreadsheet = gc.open_by_key(str(cfg.SPREADSHEET_ID)) worksheet = spreadsheet.worksheet("FantasyData") set_with_dataframe(worksheet, df) def process_daily_report(): league = League(league_id=cfg.LEAGUE_ID, year=datetime.now().year, espn_s2=cfg.ESPN_S2, swid=cfg.SWID, fetch_league=cfg.FETCH_LEAGUE) matchup = extract_weekly_box_scores(league=league) df = pd.DataFrame(matchup) print(tabulate(df, headers='keys', tablefmt='psql', showindex=False)) # pyright: ignore[reportArgumentType] write_to_google_spreadsheet(df=df) process_daily_report()