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from Recent_match_scrapper import get_multiple_matches_stats
from Meta_scrapper import get_meta_stats
from Leaderboard_scrapper import scrape_leaderboards
from connection_check import check_connection
from helper import merge_stats, filter_leaderboard, get_player_list
from Player_scrapper import get_multiple_player_stats, get_player_stats
from feature_eng import create_champion_features
from Weekly_meta_scrapper import get_weekly_meta
import pandas as pd
#check_connection(region="euw", summoner="Szygenda #EUW")
meta_stats = get_meta_stats() #save to meta_stats.csv
#weekly_meta_stats = get_weekly_meta() #save to weekly_meta_stats.csv
#leaderboard = scrape_leaderboards( #save to leaderboard_data.csv
# regions=["kr", "euw", "vn", "na"],
# pages_per_region=5
#)
#filtered_lb = filter_leaderboard( #save to lb_filtered.csv
# df=leaderboard,
# tiers=["CHALLENGER"]
# )
#filtered_lb = pd.read_csv("util/data/lb_filtered_custom_2.csv")
#player_list = get_player_list(filtered_lb)
#player_list = get_player_list() # without arg, it will read from lb_filtered.csv
##single player test
lb_for_single = pd.read_csv("util/data/lb_filtered_for_single.csv")
player_list = get_player_list(lb_for_single)
player_stats = get_multiple_player_stats(player_list) #save to player_stats.csv
recent_stats = get_multiple_matches_stats(player_list) #save to recent_stats.csv
recent_stats = pd.read_csv("util/data/recent_matches.csv")
player_stats = pd.read_csv("util/data/player_stats.csv")
merged_stats = merge_stats(recent_stats, player_stats) #save to player_stats_merged.csv
#feature engineering
merged_stats = pd.read_csv("util/data/player_stats_merged_2025-01-07.csv")
training_features = create_champion_features(merged_player_stats=merged_stats, debug=None, consider_team_comp=True, test_mode=False) #save to feature_eng_stats.csv
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