def run_pipeline():
output_fname = util.get_daily_lineup_out_fname()
now = get_curr_date()
if not os.path.exists(output_fname):
team_depth_charts = depth_chart.scrape_depth_chart()
games = schedule_parser.get_games_on_date(datetime.datetime.strftime(now, "%m/%d/%Y"))
daily_lineup = []
for game in games:
home = game["home"]
away = game["away"]
date = game["date"]
home_depth_data = team_depth_charts[home]
away_depth_data = team_depth_charts[away]
daily_lineup_data = {
"date": date,
"home": home,
"away": away,
"home_depth": home_depth_data,
"away_depth": away_depth_data,
}
daily_lineup.append(daily_lineup_data)
# now_str = datetime.datetime.strftime(now, '%m-%d-%Y')
# output_filename = "pipeline_out/daily_lineups_" + now_str + ".json"
f = open(output_fname, "w+")
f.write(json.dumps(daily_lineup, sort_keys=True, indent=4))
f.close()
def load_data(self): # Constructing the data input data_fname = util.get_daily_lineup_out_fname() if not os.path.exists(data_fname): daily_lineup_pipeline.run_pipeline() f = open(data_fname, 'r') raw_games = json.loads(f.read()) f.close() self.games = parse_games(raw_games) self.index_games_by_key()
