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December 5, 2023 10:37
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| import requests | |
| import pandas as pd | |
| import boto3 | |
| from fpl_utils import fpl_utils | |
| import os | |
| def lambda_handler(event, context): | |
| try: | |
| bucket_name = fpl_utils.get_parameter('fpl_bucket_name') | |
| players_df, fixtures_df, gameweek = get_data(bucket_name) | |
| players_df['gameweek'] = gameweek | |
| players_df = players_df[columns] | |
| fpl_utils.upload_csv_to_s3(bucket_name, f"players-gameweek-{gameweek}.csv",players_df) | |
| fpl_utils.upload_csv_to_s3(bucket_name, f"game-gameweek-{gameweek}.csv", players_df) | |
| 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 | |
| necessary_columns = ['element_type', 'id', 'now_cost', 'team','web_name', 'diff', 'in_weight', 'out_weight','gameweek'] | |
| columns = ['chance_of_playing_next_round', 'chance_of_playing_this_round', | |
| 'element_type', 'ep_next', | |
| 'ep_this', 'first_name', 'form', 'id', 'in_dreamteam', | |
| 'now_cost', 'points_per_game', | |
| 'second_name', 'selected_by_percent', | |
| 'team', 'team_code', 'total_points', 'transfers_in', | |
| 'transfers_out', | |
| 'value_form', 'value_season', 'web_name', | |
| 'influence', 'creativity', 'threat', | |
| 'ict_index', 'diff'] | |
| def get_data(bucket_name): | |
| players = fpl_utils.get('https://fantasy.premierleague.com/api/bootstrap-static/') | |
| players_df = pd.DataFrame(players['elements']) | |
| teams_df = pd.DataFrame(players['teams']) | |
| fixtures_df = pd.DataFrame(players['events']) | |
| gameweek = fpl_utils.get_gameweek() | |
| key = "odds-gameweek-" +str(gameweek) +".csv" | |
| bet_df = fpl_utils.get_csv_df(bucket_name, key) | |
| players_df.chance_of_playing_next_round = players_df.chance_of_playing_next_round.fillna(100.0) | |
| players_df.chance_of_playing_this_round = players_df.chance_of_playing_this_round.fillna(100.0) | |
| fixtures = fpl_utils.get('https://fantasy.premierleague.com/api/fixtures/?event='+str(gameweek)) | |
| fixtures_df = pd.DataFrame(fixtures) | |
| fixtures_df = fixtures_df.drop(columns=['id']) | |
| teams = dict(zip(teams_df.id, teams_df.name)) | |
| players_df['team_name'] = players_df['team'].map(teams) | |
| fixtures_df['team_a_name'] = fixtures_df['team_a'].map(teams) | |
| fixtures_df['team_h_name'] = fixtures_df['team_h'].map(teams) | |
| bet_df = bet_df.sort_values('home_team').reset_index() | |
| fixtures_df = fixtures_df.sort_values('team_h').reset_index() | |
| fixtures_df['home_chance'] = bet_df['home_chance'] | |
| fixtures_df['away_chance'] = bet_df['away_chance'] | |
| a_players = pd.merge(players_df, fixtures_df, how="inner", left_on=["team"], right_on=["team_a"]) | |
| h_players = pd.merge(players_df, fixtures_df, how="inner", left_on=["team"], right_on=["team_h"]) | |
| a_players['diff'] = a_players['away_chance'] - a_players['home_chance'] | |
| h_players['diff'] = h_players['home_chance'] - h_players['away_chance'] | |
| players_df = a_players.append(h_players) | |
| return players_df, fixtures_df, gameweek |
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