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superscript.py v 0.8.0

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Signed-off-by: Arthur Lu <learthurgo@gmail.com>
This commit is contained in:
Arthur Lu 2020-09-21 05:59:15 +00:00
parent 467444ed9b
commit ec9bac7830
1 changed files with 93 additions and 46 deletions
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139
data-analysis/superscript.py
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@ -3,10 +3,13 @@
# Notes:
# setup:
__version__ = "0.7.0"
__version__ = "0.8.0"
# changelog should be viewed using print(analysis.__changelog__)
__changelog__ = """changelog:
0.8.0:
- added multithreading to matchloop
- tweaked user log
0.7.0:
- finished implementing main function
0.6.2:
@ -114,62 +117,72 @@ __all__ = [
from tra_analysis import analysis as an
import data as d
from collections import defaultdict
import json
import numpy as np
from os import system, name
from pathlib import Path
import matplotlib.pyplot as plt
from concurrent.futures import ThreadPoolExecutor
import time
import warnings
global exec_threads
def main():
global exec_threads
warnings.filterwarnings("ignore")
while (True):
# while (True):
current_time = time.time()
print("[OK] time: " + str(current_time))
current_time = time.time()
print("[OK] time: " + str(current_time))
config = load_config("config.json")
competition = config["competition"]
match_tests = config["statistics"]["match"]
pit_tests = config["statistics"]["pit"]
metrics_tests = config["statistics"]["metric"]
print("[OK] configs loaded")
config = load_config("config.json")
competition = config["competition"]
match_tests = config["statistics"]["match"]
pit_tests = config["statistics"]["pit"]
metrics_tests = config["statistics"]["metric"]
print("[OK] configs loaded")
apikey = config["key"]["database"]
tbakey = config["key"]["tba"]
print("[OK] loaded keys")
print("[OK] starting threads")
exec_threads = ThreadPoolExecutor(max_workers = config["max-threads"])
print("[OK] threads started")
previous_time = get_previous_time(apikey)
print("[OK] analysis backtimed to: " + str(previous_time))
apikey = config["key"]["database"]
tbakey = config["key"]["tba"]
print("[OK] loaded keys")
print("[OK] loading data")
start = time.time()
match_data = load_match(apikey, competition)
pit_data = load_pit(apikey, competition)
print("[OK] loaded data in " + str(time.time() - start) + " seconds")
previous_time = get_previous_time(apikey)
print("[OK] analysis backtimed to: " + str(previous_time))
print("[OK] running tests")
start = time.time()
matchloop(apikey, competition, match_data, match_tests)
print("[OK] finished tests in " + str(time.time() - start) + " seconds")
print("[OK] loading data")
start = time.time()
match_data = load_match(apikey, competition)
pit_data = load_pit(apikey, competition)
print("[OK] loaded data in " + str(time.time() - start) + " seconds")
print("[OK] running metrics")
start = time.time()
metricloop(tbakey, apikey, competition, previous_time, metrics_tests)
print("[OK] finished metrics in " + str(time.time() - start) + " seconds")
print("[OK] running match stats")
start = time.time()
matchloop(apikey, competition, match_data, match_tests)
print("[OK] finished match stats in " + str(time.time() - start) + " seconds")
print("[OK] running pit analysis")
start = time.time()
pitloop(apikey, competition, pit_data, pit_tests)
print("[OK] finished pit analysis in " + str(time.time() - start) + " seconds")
set_current_time(apikey, current_time)
print("[OK] finished all tests, looping")
print("[OK] running team metrics")
start = time.time()
metricloop(tbakey, apikey, competition, previous_time, metrics_tests)
print("[OK] finished team metrics in " + str(time.time() - start) + " seconds")
clear()
print("[OK] running pit analysis")
start = time.time()
pitloop(apikey, competition, pit_data, pit_tests)
print("[OK] finished pit analysis in " + str(time.time() - start) + " seconds")
set_current_time(apikey, current_time)
print("[OK] finished all tests, looping")
#clear()
def clear():
@ -219,12 +232,18 @@ def load_match(apikey, competition):
def matchloop(apikey, competition, data, tests): # expects 3D array with [Team][Variable][Match]
def simplestats(data, test):
start = time.time()
data = np.array(data)
global exec_threads
def simplestats(data_test):
data = np.array(data_test[0])
data = data[np.isfinite(data)]
ranges = list(range(len(data)))
test = data_test[1]
if test == "basic_stats":
return an.basic_stats(data)
@ -246,19 +265,47 @@ def matchloop(apikey, competition, data, tests): # expects 3D array with [Team][
if test == "regression_sigmoidal":
return an.regression(ranges, data, ['sig'])
class AutoVivification(dict):
def __getitem__(self, item):
try:
return dict.__getitem__(self, item)
except KeyError:
value = self[item] = type(self)()
return value
return_vector = {}
team_filtered = []
variable_filtered = []
variable_data = []
test_filtered = []
result_filtered = []
return_vector = AutoVivification()
for team in data:
variable_vector = {}
for variable in data[team]:
test_vector = {}
variable_data = data[team][variable]
if variable in tests:
for test in tests[variable]:
test_vector[test] = simplestats(variable_data, test)
else:
pass
variable_vector[variable] = test_vector
return_vector[team] = variable_vector
team_filtered.append(team)
variable_filtered.append(variable)
variable_data.append((data[team][variable], test))
test_filtered.append(test)
result_filtered = exec_threads.map(simplestats, variable_data)
i = 0
result_filtered = list(result_filtered)
for result in result_filtered:
return_vector[team_filtered[i]][variable_filtered[i]][test_filtered[i]] = result
i += 1
print("metrics finished in " + str(time.time() - start))
push_match(apikey, competition, return_vector)