Last active
December 11, 2023 15:07
-
-
Save ConorAspell/53d6567172a091a2da3473e1a3216b8d to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import pandas as pd | |
| from fpl_utils import fpl_utils | |
| import os | |
| def lambda_handler(event, context): | |
| try: | |
| pl_profile = event['pl_profile'] | |
| cookie = f"pl_profile={pl_profile};" | |
| update_team(event['user_id'], cookie) | |
| return event | |
| except Exception as e: | |
| sns_topic = fpl_utils.get_parameter('failure_email_sns_key') | |
| error_message = f"Error in Lambda function getPlayerDetails: {str(e)}" | |
| fpl_utils.send_sns_notification(error_message, sns_topic) | |
| raise e # Re-raise the exception after sending the notification | |
| def update_team(user_id, cookie): | |
| team = fpl_utils.get_team_auth(user_id, cookie) | |
| gameweek = fpl_utils.get_gameweek() | |
| bucket_name = fpl_utils.get_parameter('fpl_bucket_name') | |
| player_out = fpl_utils.get_json_df(bucket_name, f'gameweek-{gameweek}/player_out.json') | |
| players_df = fpl_utils.get_csv_df(bucket_name, f'players-gameweek-{gameweek}.csv') | |
| players = [x['element'] for x in team['picks']] | |
| potential_players = players_df.loc[~players_df.id.isin(players)] | |
| my_original_team = players_df.loc[players_df.id.isin(players)] | |
| player_name = player_out['web_name'].iloc[0] | |
| player_index = my_original_team.index[my_original_team['web_name'] == player_name][0] | |
| my_team = my_original_team.drop(player_index) | |
| bank = team['transfers']['bank'] | |
| budget = player_out.now_cost.iat[0] + bank | |
| dups_team = my_team.pivot_table(index=['team'], aggfunc='size') | |
| invalid_teams = dups_team.loc[dups_team==3].index.tolist() | |
| potential_players=potential_players.loc[~potential_players.team.isin(invalid_teams)] | |
| potential_players=potential_players.loc[potential_players.element_type==player_out.element_type.iat[0]] | |
| potential_players = potential_players.loc[potential_players.now_cost<=budget] | |
| potential_players = calc_in_weights(potential_players) | |
| player_in = potential_players.sample(1, weights=potential_players.in_weight) | |
| my_team = pd.concat([my_team, player_in], ignore_index=True) | |
| file_name = f'gameweek-{gameweek}/player_in.json' | |
| fpl_utils.upload_json_to_s3(bucket_name, file_name, player_in.to_dict('records')) | |
| def calc_in_weights(players): | |
| players['in_weight'] = 1 | |
| players['in_weight'] += players['diff'] | |
| players['in_weight'] += players['form'].astype("float")*10 | |
| players.loc[players['in_weight'] <0, 'in_weight'] =0 | |
| return players.sort_values('in_weight', ascending=False) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment