import data as d
from analysis import analysis as an
import pymongo
import operator

def load_config(file):
    config_vector = {}
    file = an.load_csv(file)
    for line in file[1:]:
        config_vector[line[0]] = line[1:]

    return (file[0][0], config_vector)

def get_metrics_processed_formatted(apikey, competition):
    client = pymongo.MongoClient(apikey)
    db = client.data_scouting
    mdata = db.teamlist
    x=mdata.find_one({"competition":competition})
    out = {}
    for i in x:
        try:
            out[int(i)] = d.get_team_metrics_data(apikey, competition, int(i))
        except:
            pass
    return out

def main():

    apikey = an.load_csv("keys.txt")[0][0]
    tbakey = an.load_csv("keys.txt")[1][0]

    competition, config = load_config("config.csv")

    metrics = get_metrics_processed_formatted(apikey, competition)

    elo = {}
    gl2 = {}

    for team in metrics:

        elo[team] = metrics[team]["metrics"]["elo"]["score"]
        gl2[team] = metrics[team]["metrics"]["gl2"]["score"]

    elo = {k: v for k, v in sorted(elo.items(), key=lambda item: item[1])}
    gl2 = {k: v for k, v in sorted(gl2.items(), key=lambda item: item[1])}

    for team in elo:

        print("teams sorted by elo:")
        print("" + str(team) + " | " + str(elo[team]))

    print("*"*25)

    for team in gl2:

        print("teams sorted by glicko2:")
        print("" + str(team) + " | " + str(gl2[team]))

main()