mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-11-10 06:54:44 +00:00
59 lines
1.3 KiB
Python
59 lines
1.3 KiB
Python
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() |