removed gui (last commit tagged "gui"),

removed print statement in pit module


Former-commit-id: 4978aee142eaf9431913b44eabfc0dfb79c7b600

src/gui/data.py

@@ -1,129 +0,0 @@
-import requests
-import pymongo
-import pandas as pd
-import time
-
-def pull_new_tba_matches(apikey, competition, cutoff):
-	api_key= apikey 
-	x=requests.get("https://www.thebluealliance.com/api/v3/event/"+competition+"/matches/simple", headers={"X-TBA-Auth_Key":api_key})
-	out = []
-	for i in x.json():
-		if i["actual_time"] != None and i["actual_time"]-cutoff >= 0 and i["comp_level"] == "qm":
-			out.append({"match" : i['match_number'], "blue" : list(map(lambda x: int(x[3:]), i['alliances']['blue']['team_keys'])), "red" : list(map(lambda x: int(x[3:]), i['alliances']['red']['team_keys'])), "winner": i["winning_alliance"]})
-	return out
-
-def get_team_match_data(apikey, competition, team_num):
-	client = pymongo.MongoClient(apikey)
-	db = client.data_scouting
-	mdata = db.matchdata
-	out = {}
-	for i in mdata.find({"competition" : competition, "team_scouted": team_num}):
-		out[i['match']] = i['data']
-	return pd.DataFrame(out)
-
-def get_team_pit_data(apikey, competition, team_num):
-	client = pymongo.MongoClient(apikey)
-	db = client.data_scouting
-	mdata = db.pitdata
-	out = {}
-	return mdata.find_one({"competition" : competition, "team_scouted": team_num})["data"]
-
-def get_team_metrics_data(apikey, competition, team_num):
-	client = pymongo.MongoClient(apikey)
-	db = client.data_processing
-	mdata = db.team_metrics
-	return mdata.find_one({"competition" : competition, "team": team_num})
-
-def get_match_data_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)] = unkeyify_2l(get_team_match_data(apikey, competition, int(i)).transpose().to_dict())
-		except:
-			pass
-	return out
-
-def get_metrics_data_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 get_pit_data_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)] = get_team_pit_data(apikey, competition, int(i))
-		except:
-			pass
-	return out
-
-def get_pit_variable_data(apikey, competition):
-	client = pymongo.MongoClient(apikey)
-	db = client.data_processing
-	mdata = db.team_pit
-	out = {}
-	return mdata.find()
-
-def get_pit_variable_formatted(apikey, competition):
-	temp = get_pit_variable_data(apikey, competition)
-	out = {}
-	for i in temp:
-		out[i["variable"]] = i["data"]
-	return out
-
-def push_team_tests_data(apikey, competition, team_num, data, dbname = "data_processing", colname = "team_tests"):
-	client = pymongo.MongoClient(apikey)
-	db = client[dbname]
-	mdata = db[colname]
-	mdata.replace_one({"competition" : competition, "team": team_num}, {"_id": competition+str(team_num)+"am", "competition" : competition, "team" : team_num, "data" : data}, True)
-
-def push_team_metrics_data(apikey, competition, team_num, data, dbname = "data_processing", colname = "team_metrics"):
-	client = pymongo.MongoClient(apikey)
-	db = client[dbname]
-	mdata = db[colname]
-	mdata.replace_one({"competition" : competition, "team": team_num}, {"_id": competition+str(team_num)+"am", "competition" : competition, "team" : team_num, "metrics" : data}, True)
-
-def push_team_pit_data(apikey, competition, variable, data, dbname = "data_processing", colname = "team_pit"):
-	client = pymongo.MongoClient(apikey)
-	db = client[dbname]
-	mdata = db[colname]
-	mdata.replace_one({"competition" : competition, "variable": variable}, {"competition" : competition, "variable" : variable, "data" : data}, True)
-
-def get_analysis_flags(apikey, flag):
-	client = pymongo.MongoClient(apikey)
-	db = client.data_processing
-	mdata = db.flags
-	return mdata.find_one({flag:{"$exists":True}})
-
-def set_analysis_flags(apikey, flag, data):
-	client = pymongo.MongoClient(apikey)
-	db = client.data_processing
-	mdata = db.flags
-	return mdata.replace_one({flag:{"$exists":True}}, data, True)
-
-def unkeyify_2l(layered_dict):
-	out = {}
-	for i in layered_dict.keys():
-		add = []
-		sortkey = []
-		for j in layered_dict[i].keys():
-			add.append([j,layered_dict[i][j]])
-		add.sort(key = lambda x: x[0])
-		out[i] = list(map(lambda x: x[1], add))
-	return out

src/gui/design.kv

@@ -1,151 +0,0 @@
-<Launch>:
-	orientation: "vertical"
-	
-	NavigationLayout:
-		ScreenManager:
-			id: screen_manager
-			HomeScreen:
-				name: "Home"
-				BoxLayout:
-					orientation: "vertical"
-					MDToolbar:
-						title: screen_manager.current
-						elevation: 10
-						left_action_items: [['menu', lambda x: nav_drawer.toggle_nav_drawer()]]
-
-					GridLayout:
-						cols: 1
-						padding: 15, 15
-						spacing: 20, 20
-						MDTextFieldRect:
-							hint_text: "Console Log"
-							# size_hint: .8, None
-							# align: 'center'
-					# Widget:
-			SettingsScreen:
-				name: "Settings"
-				BoxLayout:
-					orientation: 'vertical' 
-					MDToolbar:
-						title: screen_manager.current
-						elevation: 10
-						left_action_items: [['menu', lambda x: nav_drawer.toggle_nav_drawer()]]
-					Widget:
-			InfoScreen:
-				name: "Info"
-				BoxLayout:
-					orientation: 'vertical' 
-					MDToolbar:
-						title: screen_manager.current
-						elevation: 10
-						left_action_items: [['menu', lambda x: nav_drawer.toggle_nav_drawer()]]
-					# GridLayout:
-					#     cols: 2
-					#     padding: 15, 15
-					#     spacing: 20, 20
-					BoxLayout:
-						orientation: "horizontal"
-						MDLabel:
-							text: "DB Key:"
-							halign: 'center'
-						MDTextField:
-							hint_text: "placeholder"
-							pos_hint: {"center_y": .5}
-						
-					BoxLayout:
-						orientation: "horizontal"
-						MDLabel:
-							text: "TBA Key:"
-							halign: 'center'
-						MDTextField:
-							hint_text: "placeholder"
-							pos_hint: {"center_y": .5}
-					BoxLayout:
-						orientation: "horizontal"
-						MDLabel:
-							text: "CPU Use:"
-							halign: 'center'
-						MDLabel:
-							text: "placeholder"
-							halign: 'center'
-					BoxLayout:
-						orientation: "horizontal"
-						MDLabel:
-							text: "Network:"
-							halign: 'center'
-						MDLabel:
-							text: "placeholder"
-							halign: 'center'
-					Widget:
-					BoxLayout:
-						orientation: "horizontal"
-						MDLabel:
-							text: "Progress"
-							halign: 'center'
-						MDProgressBar:
-							id: progress
-							value: 50
-			StatsScreen:
-				name: "Stats"
-				MDCheckbox:
-					size_hint: None, None
-					size: "48dp", "48dp"
-					pos_hint: {'center_x': .5, 'center_y': .5}
-					on_active: Screen.test()
-							
-#Navigation Drawer ------------------------- 
-		MDNavigationDrawer:
-			id: nav_drawer
-			BoxLayout:
-				orientation: "vertical"
-				padding: "8dp"
-				spacing: "8dp"
-				MDLabel:
-					text: "Titan Scouting"
-					font_style: "Button"
-					size_hint_y: None
-					height: self.texture_size[1]
-
-				MDLabel:
-					text: "Data Analysis"
-					font_style: "Caption"
-					size_hint_y: None
-					height: self.texture_size[1]
-				ScrollView:
-					MDList:
-						OneLineAvatarListItem:
-							text: "Home"
-							on_press:
-								# nav_drawer.set_state("close")
-								# screen_manager.transition.direction = "left"
-								screen_manager.current = "Home"
-							IconLeftWidget:
-								icon: "home"
-							
-						OneLineAvatarListItem:
-							text: "Settings"
-							on_press:
-								# nav_drawer.set_state("close")
-								# screen_manager.transition.direction = "right"
-								# screen_manager.fade
-								screen_manager.current = "Settings"
-							IconLeftWidget:
-								icon: "cog"
-						OneLineAvatarListItem:
-							text: "Info"
-							on_press:
-								# nav_drawer.set_state("close")
-								# screen_manager.transition.direction = "right"
-								# screen_manager.fade
-								screen_manager.current = "Info"
-							IconLeftWidget:
-								icon: "cog"
-						OneLineAvatarListItem:
-							text: "Stats"
-							on_press:
-								# nav_drawer.set_state("close")
-								# screen_manager.transition.direction = "right"
-								# screen_manager.fade
-								screen_manager.current = "Stats"
-							IconLeftWidget:
-								icon: "cog"

src/gui/main.py

@@ -1,58 +0,0 @@
-from kivy.lang import Builder
-
-from kivymd.uix.screen import Screen
-from kivymd.uix.list import OneLineListItem, MDList, TwoLineListItem, ThreeLineListItem
-from kivymd.uix.list import OneLineIconListItem, IconLeftWidget
-from kivy.uix.scrollview import ScrollView
-
-
-from kivy.uix.boxlayout import BoxLayout
-from kivy.uix.screenmanager import ScreenManager, Screen
-from kivy.uix.dropdown import DropDown
-from kivy.uix.button import Button
-from kivy.base import runTouchApp
-from kivymd.uix.menu import MDDropdownMenu, MDMenuItem
-
-from kivymd.app import MDApp
-# import superscript as ss
-
-# from tra_analysis import analysis as an
-import data as d
-from collections import defaultdict
-import json
-import math
-import numpy as np
-import os
-from os import system, name
-from pathlib import Path
-from multiprocessing import Pool
-import matplotlib.pyplot as plt
-from concurrent.futures import ThreadPoolExecutor
-import time
-import warnings
-
-# global exec_threads
-
-
-# Screens
-class HomeScreen(Screen):
-	pass
-class SettingsScreen(Screen):
-	pass
-class InfoScreen(Screen):
-	pass
-
-class StatsScreen(Screen):
-	pass
-
-
-class MyApp(MDApp):
-	def build(self):
-		self.theme_cls.primary_palette = "Red"
-		return Builder.load_file("design.kv")
-	def test():
-		print("test")
-
-
-if __name__ == "__main__":
-	MyApp().run()

src/gui/superscript.py

@@ -1,627 +0,0 @@
-# Titan Robotics Team 2022: Superscript Script
-# Written by Arthur Lu, Jacob Levine, and Dev Singh
-# Notes:
-# setup:
-
-__version__ = "0.8.6"
-
-# changelog should be viewed using print(analysis.__changelog__)
-__changelog__ = """changelog:
-	0.8.6:
-		- added proper main function
-	0.8.5:
-		- added more gradeful KeyboardInterrupt exiting
-		- redirected stderr to errorlog.txt
-	0.8.4:
-		- added better error message for missing config.json
-		- added automatic config.json creation
-		- added splash text with version and system info
-	0.8.3:
-		- updated matchloop with new regression format (requires tra_analysis 3.x)
-	0.8.2:
-		- readded while true to main function
-		- added more thread config options
-	0.8.1:
-		- optimized matchloop further by bypassing GIL
-	0.8.0:
-		- added multithreading to matchloop
-		- tweaked user log
-	0.7.0:
-		- finished implementing main function
-	0.6.2:
-		- integrated get_team_rankings.py as get_team_metrics() function
-		- integrated visualize_pit.py as graph_pit_histogram() function
-	0.6.1:
-		- bug fixes with analysis.Metric() calls
-		- modified metric functions to use config.json defined default values
-	0.6.0:
-		- removed main function
-		- changed load_config function
-		- added save_config function
-		- added load_match function
-		- renamed simpleloop to matchloop
-		- moved simplestats function inside matchloop
-		- renamed load_metrics to load_metric
-		- renamed metricsloop to metricloop
-		- split push to database functions amon push_match, push_metric, push_pit
-		- moved
-	0.5.2:
-		- made changes due to refactoring of analysis
-	0.5.1:
-		- text fixes
-		- removed matplotlib requirement
-	0.5.0:
-		- improved user interface
-	0.4.2:
-		- removed unessasary code
-	0.4.1:
-		- fixed bug where X range for regression was determined before sanitization
-		- better sanitized data
-	0.4.0:
-		- fixed spelling issue in __changelog__
-		- addressed nan bug in regression
-		- fixed errors on line 335 with metrics calling incorrect key "glicko2"
-		- fixed errors in metrics computing 
-	0.3.0:
-		- added analysis to pit data
-	0.2.1:
-		- minor stability patches
-		- implemented db syncing for timestamps
-		- fixed bugs
-	0.2.0:
-		- finalized testing and small fixes
-	0.1.4:
-		- finished metrics implement, trueskill is bugged
-	0.1.3:
-		- working
-	0.1.2:
-		- started implement of metrics
-	0.1.1:
-		- cleaned up imports
-	0.1.0:
-		- tested working, can push to database
-	0.0.9:
-		- tested working
-		- prints out stats for the time being, will push to database later
-	0.0.8:
-		- added data import
-		- removed tba import
-		- finished main method
-	0.0.7:
-		- added load_config
-		- optimized simpleloop for readibility
-		- added __all__ entries
-		- added simplestats engine
-		- pending testing
-	0.0.6:
-		- fixes
-	0.0.5:
-		- imported pickle
-		- created custom database object
-	0.0.4:
-		- fixed simpleloop to actually return a vector
-	0.0.3:
-		- added metricsloop which is unfinished
-	0.0.2:
-		- added simpleloop which is untested until data is provided
-	0.0.1:
-		- created script
-		- added analysis, numba, numpy imports
-"""
-
-__author__ = (
-	"Arthur Lu <learthurgo@gmail.com>",
-	"Jacob Levine <jlevine@imsa.edu>",
-)
-
-__all__ = [
-	"load_config",
-	"save_config",
-	"get_previous_time",
-	"load_match",
-	"matchloop",
-	"load_metric",
-	"metricloop",
-	"load_pit",
-	"pitloop",
-	"push_match",
-	"push_metric",
-	"push_pit",
-]
-
-# imports:
-
-from tra_analysis import analysis as an
-import data as d
-from collections import defaultdict
-import json
-import math
-import numpy as np
-import os
-from os import system, name
-from pathlib import Path
-from multiprocessing import Pool
-import platform
-import sys
-import time
-import warnings
-
-global exec_threads
-
-def main():
-
-	global exec_threads
-
-	sys.stderr = open("errorlog.txt", "w")
-
-	warnings.filterwarnings("ignore")
-
-	splash()
-
-	while (True):
-
-		try:
-
-			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")
-
-			print("[OK] starting threads")
-			cfg_max_threads = config["max-threads"]
-			sys_max_threads = os.cpu_count()
-			if cfg_max_threads > -sys_max_threads and cfg_max_threads < 0 :
-				alloc_processes = sys_max_threads + cfg_max_threads
-			elif cfg_max_threads > 0 and cfg_max_threads < 1:
-				alloc_processes = math.floor(cfg_max_threads * sys_max_threads)
-			elif cfg_max_threads > 1 and cfg_max_threads <= sys_max_threads:
-				alloc_processes = cfg_max_threads
-			elif cfg_max_threads == 0:
-				alloc_processes = sys_max_threads
-			else:
-				print("[ERROR] Invalid number of processes, must be between -" + str(sys_max_threads) + " and " + str(sys_max_threads))
-				exit()
-			exec_threads = Pool(processes = alloc_processes)
-			print("[OK] " + str(alloc_processes) + " threads started")
-
-			apikey = config["key"]["database"]
-			tbakey = config["key"]["tba"]
-			print("[OK] loaded keys")
-
-			previous_time = get_previous_time(apikey)
-			print("[OK] analysis backtimed to: " + str(previous_time))
-
-			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 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 team metrics")
-			start = time.time()
-			metricloop(tbakey, apikey, competition, previous_time, metrics_tests)
-			print("[OK] finished team metrics 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_hrule()
-		
-		except KeyboardInterrupt:
-			print("\n[OK] caught KeyboardInterrupt, killing processes")
-			exec_threads.terminate()
-			print("[OK] processes killed, exiting")
-			exit()
-
-		else:
-			pass
-
-		#clear()
-
-def clear(): 
-	
-	# for windows 
-	if name == 'nt': 
-		_ = system('cls') 
-  
-	# for mac and linux(here, os.name is 'posix') 
-	else: 
-		_ = system('clear')
-
-def print_hrule():
-
-	print("#"+38*"-"+"#")
-
-def print_box(s):
-
-	temp = "|"
-	temp += s
-	temp += (40-len(s)-2)*" "
-	temp += "|"
-	print(temp)
-
-def splash():
-
-	print_hrule()
-	print_box(" superscript version: " + __version__)
-	print_box(" os: " + platform.system())
-	print_box(" python: " + platform.python_version())
-	print_hrule()
-
-def load_config(file):
-
-	config_vector = {}
-
-	try:
-		f = open(file)
-	except:
-		print("[ERROR] could not locate config.json, generating blank config.json and exiting")
-		f = open(file, "w")
-		f.write(sample_json)
-		exit()
-	
-	config_vector = json.load(f)
-
-	return config_vector
-
-def save_config(file, config_vector):
-
-	with open(file) as f:
-		json.dump(config_vector, f)
-
-def get_previous_time(apikey):
-
-	previous_time = d.get_analysis_flags(apikey, "latest_update")
-
-	if previous_time == None:
-
-		d.set_analysis_flags(apikey, "latest_update", 0)
-		previous_time = 0
-
-	else:
-
-		previous_time = previous_time["latest_update"]
-
-	return previous_time
-
-def set_current_time(apikey, current_time):
-
-	d.set_analysis_flags(apikey, "latest_update", {"latest_update":current_time})
-
-def load_match(apikey, competition):
-
-	return d.get_match_data_formatted(apikey, competition)
-
-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)
-
-	if test == "historical_analysis":
-		return an.histo_analysis([ranges, data])
-
-	if test == "regression_linear":
-		return an.regression(ranges, data, ['lin'])
-
-	if test == "regression_logarithmic":
-		return an.regression(ranges, data, ['log'])
-
-	if test == "regression_exponential":
-		return an.regression(ranges, data, ['exp'])
-
-	if test == "regression_polynomial":
-		return an.regression(ranges, data, ['ply'])
-
-	if test == "regression_sigmoidal":
-		return an.regression(ranges, data, ['sig'])
-
-def matchloop(apikey, competition, data, tests): # expects 3D array with [Team][Variable][Match]
-
-	global exec_threads
-
-	short_mapping = {"regression_linear": "lin", "regression_logarithmic": "log", "regression_exponential": "exp", "regression_polynomial": "ply", "regression_sigmoidal": "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:
-
-		for variable in data[team]:
-
-			if variable in tests:
-
-				for test in tests[variable]:
-
-					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:
-
-		filtered = test_filtered[i]
-
-		try:
-			short = short_mapping[filtered]
-			return_vector[team_filtered[i]][variable_filtered[i]][test_filtered[i]] = result[short]
-		except KeyError: # not in mapping
-			return_vector[team_filtered[i]][variable_filtered[i]][test_filtered[i]] = result
-		i += 1
-
-	push_match(apikey, competition, return_vector)
-
-def load_metric(apikey, competition, match, group_name, metrics):
-
-	group = {}
-
-	for team in match[group_name]:
-
-		db_data = d.get_team_metrics_data(apikey, competition, team)
-
-		if d.get_team_metrics_data(apikey, competition, team) == None:
-
-			elo = {"score": metrics["elo"]["score"]}
-			gl2 = {"score": metrics["gl2"]["score"], "rd": metrics["gl2"]["rd"], "vol": metrics["gl2"]["vol"]}
-			ts = {"mu": metrics["ts"]["mu"], "sigma": metrics["ts"]["sigma"]}
-
-			group[team] = {"elo": elo, "gl2": gl2, "ts": ts}
-
-		else:
-
-			metrics = db_data["metrics"]
-
-			elo = metrics["elo"]
-			gl2 = metrics["gl2"]
-			ts = metrics["ts"]
-
-			group[team] = {"elo": elo, "gl2": gl2, "ts": ts}
-
-	return group
-
-def metricloop(tbakey, apikey, competition, timestamp, metrics): # listener based metrics update
-
-	elo_N = metrics["elo"]["N"]
-	elo_K = metrics["elo"]["K"]
-
-	matches = d.pull_new_tba_matches(tbakey, competition, timestamp)
-
-	red = {}
-	blu = {}
-
-	for match in matches:
-
-		red = load_metric(apikey, competition, match, "red", metrics)
-		blu = load_metric(apikey, competition, match, "blue", metrics)
- 
-		elo_red_total = 0
-		elo_blu_total = 0
-
-		gl2_red_score_total = 0
-		gl2_blu_score_total = 0
-
-		gl2_red_rd_total = 0
-		gl2_blu_rd_total = 0
-
-		gl2_red_vol_total = 0
-		gl2_blu_vol_total = 0
-
-		for team in red:
-
-			elo_red_total += red[team]["elo"]["score"]
-
-			gl2_red_score_total += red[team]["gl2"]["score"]
-			gl2_red_rd_total += red[team]["gl2"]["rd"]
-			gl2_red_vol_total += red[team]["gl2"]["vol"]
-
-		for team in blu:
-
-			elo_blu_total += blu[team]["elo"]["score"]
-
-			gl2_blu_score_total += blu[team]["gl2"]["score"]
-			gl2_blu_rd_total += blu[team]["gl2"]["rd"]
-			gl2_blu_vol_total += blu[team]["gl2"]["vol"]
-
-		red_elo = {"score": elo_red_total / len(red)}
-		blu_elo = {"score": elo_blu_total / len(blu)}
-
-		red_gl2 = {"score": gl2_red_score_total / len(red), "rd": gl2_red_rd_total / len(red), "vol": gl2_red_vol_total / len(red)}
-		blu_gl2 = {"score": gl2_blu_score_total / len(blu), "rd": gl2_blu_rd_total / len(blu), "vol": gl2_blu_vol_total / len(blu)}
-
-
-		if match["winner"] == "red":
-
-			observations = {"red": 1, "blu": 0}
-
-		elif match["winner"] == "blue":
-
-			observations = {"red": 0, "blu": 1}
-
-		else:
-
-			observations = {"red": 0.5, "blu": 0.5}
-
-		red_elo_delta = an.Metric().elo(red_elo["score"], blu_elo["score"], observations["red"], elo_N, elo_K) - red_elo["score"]
-		blu_elo_delta = an.Metric().elo(blu_elo["score"], red_elo["score"], observations["blu"], elo_N, elo_K) - blu_elo["score"]
-
-		new_red_gl2_score, new_red_gl2_rd, new_red_gl2_vol = an.Metric().glicko2(red_gl2["score"], red_gl2["rd"], red_gl2["vol"], [blu_gl2["score"]], [blu_gl2["rd"]], [observations["red"], observations["blu"]])
-		new_blu_gl2_score, new_blu_gl2_rd, new_blu_gl2_vol = an.Metric().glicko2(blu_gl2["score"], blu_gl2["rd"], blu_gl2["vol"], [red_gl2["score"]], [red_gl2["rd"]], [observations["blu"], observations["red"]])
-
-		red_gl2_delta = {"score": new_red_gl2_score - red_gl2["score"], "rd": new_red_gl2_rd - red_gl2["rd"], "vol": new_red_gl2_vol - red_gl2["vol"]}
-		blu_gl2_delta = {"score": new_blu_gl2_score - blu_gl2["score"], "rd": new_blu_gl2_rd - blu_gl2["rd"], "vol": new_blu_gl2_vol - blu_gl2["vol"]}
-
-		for team in red:
-
-			red[team]["elo"]["score"] = red[team]["elo"]["score"] + red_elo_delta
-
-			red[team]["gl2"]["score"] = red[team]["gl2"]["score"] + red_gl2_delta["score"]
-			red[team]["gl2"]["rd"] = red[team]["gl2"]["rd"] + red_gl2_delta["rd"]
-			red[team]["gl2"]["vol"] = red[team]["gl2"]["vol"] + red_gl2_delta["vol"]
-
-		for team in blu:
-
-			blu[team]["elo"]["score"] = blu[team]["elo"]["score"] + blu_elo_delta
-
-			blu[team]["gl2"]["score"] = blu[team]["gl2"]["score"] + blu_gl2_delta["score"]
-			blu[team]["gl2"]["rd"] = blu[team]["gl2"]["rd"] + blu_gl2_delta["rd"]
-			blu[team]["gl2"]["vol"] = blu[team]["gl2"]["vol"] + blu_gl2_delta["vol"]
-
-		temp_vector = {}
-		temp_vector.update(red)
-		temp_vector.update(blu)
-
-		push_metric(apikey, competition, temp_vector)
-
-def load_pit(apikey, competition):
-
-	return d.get_pit_data_formatted(apikey, competition)
-
-def pitloop(apikey, competition, pit, tests):
-
-	return_vector = {}
-	for team in pit:
-		for variable in pit[team]:
-			if variable in tests:
-				if not variable in return_vector:
-					return_vector[variable] = []
-				return_vector[variable].append(pit[team][variable])
-
-	push_pit(apikey, competition, return_vector)
-
-def push_match(apikey, competition, results):
-
-	for team in results:
-
-		d.push_team_tests_data(apikey, competition, team, results[team])
-
-def push_metric(apikey, competition, metric):
-
-	for team in metric:
-
-			d.push_team_metrics_data(apikey, competition, team, metric[team])
-
-def push_pit(apikey, competition, pit):
-
-	for variable in pit:
-
-		d.push_team_pit_data(apikey, competition, variable, pit[variable])
-
-def get_team_metrics(apikey, tbakey, competition):
-
-	metrics = d.get_metrics_data_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])}
-
-	elo_ranked = []
-
-	for team in elo:
-
-		elo_ranked.append({"team": str(team), "elo": str(elo[team])})
-
-	gl2_ranked = []
-
-	for team in gl2:
-
-		gl2_ranked.append({"team": str(team), "gl2": str(gl2[team])})
-
-	return {"elo-ranks": elo_ranked, "glicko2-ranks": gl2_ranked}
-
-sample_json = """{
-	"max-threads": 0.5,
-	"team": "",
-	"competition": "2020ilch",
-	"key":{
-		"database":"",
-		"tba":""
-	},
-	"statistics":{
-		"match":{
-			"balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
-			"balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
-			"balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
-			"balls-lower-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
-			"balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
-			"balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
-			"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]
-
-		},
-		"metric":{
-			"elo":{
-				"score":1500,
-				"N":400,
-				"K":24
-			},
-			"gl2":{
-				"score":1500,
-				"rd":250,
-				"vol":0.06
-			},
-			"ts":{
-				"mu":25,
-				"sigma":8.33
-			}
-		},
-		"pit":{
-			"wheel-mechanism":true,
-			"low-balls":true,
-			"high-balls":true,
-			"wheel-success":true,
-			"strategic-focus":true,
-			"climb-mechanism":true,
-			"attitude":true
-		}
-	}
-}"""
-
-if __name__ == "__main__":
-	if sys.platform.startswith('win'):
-		multiprocessing.freeze_support()
-	main()

src/module.py

@@ -299,7 +299,6 @@ class Pit (Module):
 
 	def _process_data(self, exec_threads):
 		tests = self.config["tests"]
-		print(tests)
 		return_vector = {}
 		for team in self.data:
 			for variable in self.data[team]: