Configure Redis with every morning 6 AM execution
This commit is contained in:
parent
e5c176af7d
commit
65283fc7f9
22
app.py
22
app.py
|
|
@ -1,15 +1,17 @@
|
||||||
from argparse import ArgumentParser
|
|
||||||
from config import Config as cfg
|
from config import Config as cfg
|
||||||
from datetime import datetime
|
from datetime import datetime
|
||||||
from espn_api.football import League
|
from espn_api.football import League
|
||||||
from gspread_dataframe import set_with_dataframe
|
from gspread_dataframe import set_with_dataframe
|
||||||
|
from huey import crontab, RedisHuey
|
||||||
from service import gc
|
from service import gc
|
||||||
from tabulate import tabulate
|
from tabulate import tabulate
|
||||||
from time import strftime
|
|
||||||
|
|
||||||
import pandas as pd
|
import pandas as pd
|
||||||
|
|
||||||
|
|
||||||
|
huey = RedisHuey('report-generator', host='redis')
|
||||||
|
|
||||||
|
|
||||||
def check_int(s):
|
def check_int(s):
|
||||||
if s is None:
|
if s is None:
|
||||||
return s
|
return s
|
||||||
|
|
@ -51,13 +53,8 @@ def write_to_google_spreadsheet(df: pd.DataFrame):
|
||||||
set_with_dataframe(worksheet, df)
|
set_with_dataframe(worksheet, df)
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
@huey.periodic_task(crontab(hour='6'))
|
||||||
parser = ArgumentParser(description='Weekly Report Generator for Fantasy Football')
|
def process_daily_report():
|
||||||
parser.add_argument('-csv', action='store_true')
|
|
||||||
parser.add_argument('-gs', action='store_true')
|
|
||||||
args = vars(parser.parse_args())
|
|
||||||
timestamp = strftime("%Y%m%d_%H%M%S")
|
|
||||||
|
|
||||||
league = League(league_id=cfg.LEAGUE_ID,
|
league = League(league_id=cfg.LEAGUE_ID,
|
||||||
year=datetime.now().year,
|
year=datetime.now().year,
|
||||||
espn_s2=cfg.ESPN_S2,
|
espn_s2=cfg.ESPN_S2,
|
||||||
|
|
@ -67,11 +64,4 @@ if __name__ == "__main__":
|
||||||
matchup = extract_matchup_box_scores(league=league)
|
matchup = extract_matchup_box_scores(league=league)
|
||||||
df = pd.DataFrame.from_dict(matchup)
|
df = pd.DataFrame.from_dict(matchup)
|
||||||
print(tabulate(df, headers='keys', tablefmt='psql', showindex=False))
|
print(tabulate(df, headers='keys', tablefmt='psql', showindex=False))
|
||||||
|
|
||||||
if args['csv']:
|
|
||||||
print("Saving to CSV...")
|
|
||||||
df.to_csv(f'espn_fantasy_football_weekly_report_{timestamp}.csv', index=False, float_format='%.2f')
|
|
||||||
|
|
||||||
if args['gs']:
|
|
||||||
print("Saving to Google Sheets...")
|
|
||||||
write_to_google_spreadsheet(df=df)
|
write_to_google_spreadsheet(df=df)
|
||||||
|
|
|
||||||
Loading…
Reference in a new issue