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