appeased pylint in config.py attr lookup

added basic progress bars for each module

.devcontainer/Dockerfile

@@ -1,6 +1,6 @@
 FROM python:slim
 WORKDIR /
 RUN apt-get -y update; apt-get -y upgrade
-RUN apt-get -y install git
+RUN apt-get -y install git binutils
 COPY requirements.txt .
-RUN pip install -r requirements.txt
+RUN pip install -r requirements.txt

.devcontainer/devcontainer.json

@@ -5,13 +5,14 @@
     },
     "settings": { 
 		"terminal.integrated.shell.linux": "/bin/bash",
-		"python.pythonPath": "",
+		"python.pythonPath": "/usr/local/bin/python",
 		"python.linting.enabled": true,
 		"python.linting.pylintEnabled": true,
-		"python.linting.pylintPath": "",
+		"python.linting.pylintPath": "/usr/local/bin/pylint",
-		"python.testing.pytestPath": "",
+		"python.linting.pylintArgs": ["--indent-string", "\t"],
-    "editor.tabSize": 4,
+		"python.testing.pytestPath": "/usr/local/bin/pytest",
-    "editor.insertSpaces": false
+    	"editor.tabSize": 4,
+    	"editor.insertSpaces": false
 	},
 	"extensions": [
 		"mhutchie.git-graph",

.devcontainer/requirements.txt

@@ -6,8 +6,6 @@ pylint
 pymongo
 pyparsing
 pytest
-python-daemon
-pyzmq
 requests
 scikit-learn
 scipy

.github/workflows/build-cli.yml

@@ -32,4 +32,4 @@ jobs:
           repo_token: ${{ secrets.GITHUB_TOKEN }}
           file: superscript
           asset_name: superscript
-          tag: ${{ github.ref }}
+          tag: ${{ github.ref }}

.gitignore

@@ -15,5 +15,4 @@
 
 **/*.log
 **/errorlog.txt
-/dist/superscript.*
+/dist/*
-/dist/superscript

README.md

@@ -43,4 +43,4 @@ don't worry, you may have just not configured the application correctly, but wou
 
 # Build Statuses
 
-Coming soon!
+Coming soon!

build/build-CLI.bat

@@ -1,4 +1,4 @@
-set pathtospec="../src/cli/superscript.spec"
+set pathtospec="superscript.spec"
 set pathtodist="../dist/"
 set pathtowork="temp/"
 

build/build-CLI.sh

@@ -1,4 +1,4 @@
-pathtospec="../src/cli/superscript.spec"
+pathtospec="superscript.spec"
 pathtodist="../dist/"
 pathtowork="temp/"
 

build/superscript.spec

@@ -0,0 +1,35 @@
+# -*- mode: python ; coding: utf-8 -*-
+
+block_cipher = None
+
+a = Analysis(
+    ['../src/superscript.py'],
+    pathex=[],
+    binaries=[],
+    datas=[],
+    hiddenimports=['dnspython', 'sklearn.utils._weight_vector', 'sklearn.utils._typedefs', 'sklearn.neighbors._partition_nodes', 'requests'],
+    hookspath=[],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=[],
+    win_no_prefer_redirects=False,
+    win_private_assemblies=False,
+    cipher=block_cipher,
+    noarchive=False
+)
+pyz = PYZ(a.pure, a.zipped_data,
+	cipher=block_cipher)
+exe = EXE(pyz,
+	a.scripts,
+	a.binaries,
+	a.zipfiles,
+	a.datas,
+	[('W ignore', None, 'OPTION')],
+	name='superscript',
+	debug=False,
+	bootloader_ignore_signals=False,
+	strip=False,
+	upx=True,
+	upx_exclude=[],
+	runtime_tmpdir=None,
+	console=True )

src/cli/config.py

@@ -1,244 +0,0 @@
-import math
-import json
-from multiprocessing import Pool
-import os
-from cerberus import Validator
-from exceptions import ConfigurationError
-
-from data import set_database_config, get_database_config
-from interface import stderr, stdout, INF, ERR
-
-config_path = "config.json"
-
-sample_json = """
-{
-   "persistent":{
-      "key":{
-         "database":"",
-         "tba":"",
-         "tra":{
-            "CLIENT_ID":"",
-            "CLIENT_SECRET":"",
-			"url": ""
-         }
-      },
-      "config-preference":"local",
-      "synchronize-config":false
-   },
-   "variable":{
-      "max-threads":0.5,
-      "team":"",
-      "event-delay":false,
-      "loop-delay":0,
-      "reportable":true,
-      "teams":[
-         
-      ],
-      "modules":{
-         "match":{
-            "tests":{
-               "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":{
-            "tests":{
-               "elo":{
-                  "score":1500,
-                  "N":400,
-                  "K":24
-               },
-               "gl2":{
-                  "score":1500,
-                  "rd":250,
-                  "vol":0.06
-               },
-               "ts":{
-                  "mu":25,
-                  "sigma":8.33
-               }
-            }
-         },
-         "pit":{
-            "tests":{
-               "wheel-mechanism":true,
-               "low-balls":true,
-               "high-balls":true,
-               "wheel-success":true,
-               "strategic-focus":true,
-               "climb-mechanism":true,
-               "attitude":true
-            }
-         }
-      }
-   }
-}
-"""
-
-def parse_config_persistent(send, config):
-	v = Validator(load_validation_schema(), allow_unknown = True)
-	isValidated = v.validate(config)
-
-	if not isValidated:
-		raise ConfigurationError(v.errors, 101)
-
-	apikey = config["persistent"]["key"]["database"]
-	tbakey = config["persistent"]["key"]["tba"]
-	preference = config["persistent"]["config-preference"]
-	sync = config["persistent"]["synchronize-config"]
-
-	return apikey, tbakey, preference, sync
-
-def parse_config_variable(send, config):
-
-	sys_max_threads = os.cpu_count()
-	try:
-		cfg_max_threads = config["variable"]["max-threads"]
-	except:
-		raise ConfigurationError("variable/max-threads field is invalid or missing, refer to documentation for configuration options", 109)
-	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:
-		raise ConfigurationError("variable/max-threads must be between -" + str(sys_max_threads) + " and " + str(sys_max_threads) + ", but got " + cfg_max_threads, 110)
-	try:
-		exec_threads = Pool(processes = alloc_processes)
-	except Exception as e:
-		send(stderr, INF, e)
-		raise ConfigurationError("unable to start threads", 200)
-	send(stdout, INF, "successfully initialized " + str(alloc_processes) + " threads")
-
-	try:
-		modules = config["variable"]["modules"]
-	except:
-		raise ConfigurationError("variable/modules field is invalid or missing", 102)
-
-	if modules == None:
-		raise ConfigurationError("variable/modules field is empty", 106)
-
-	send(stdout, INF, "found and loaded competition, match, metrics, pit from config")
-
-	return exec_threads, modules
-
-def resolve_config_conflicts(send, client, config, preference, sync):
-
-	if sync:
-		if preference == "local" or preference == "client":
-			send(stdout, INF, "config-preference set to local/client, loading local config information")
-			remote_config = get_database_config(client)
-			if remote_config != config["variable"]:
-				set_database_config(client, config["variable"])
-				send(stdout, INF, "database config was different and was updated")
-			return config
-		elif preference == "remote" or preference == "database":
-			send(stdout, INF, "config-preference set to remote/database, loading remote config information")
-			remote_config= get_database_config(client)
-			if remote_config != config["variable"]:
-				config["variable"] = remote_config
-				if save_config(config_path, config):
-					raise ConfigurationError("local config was different but could not be updated", 121)
-				send(stdout, INF, "local config was different and was updated")
-			return config
-		else:
-			raise ConfigurationError("persistent/config-preference field must be \"local\"/\"client\" or \"remote\"/\"database\"", 120)
-	else:
-		if preference == "local" or preference == "client":
-			send(stdout, INF, "config-preference set to local/client, loading local config information")
-			return config
-		elif preference == "remote" or preference == "database":
-			send(stdout, INF, "config-preference set to remote/database, loading database config information")
-			config["variable"] = get_database_config(client)
-			return config
-		else:
-			raise ConfigurationError("persistent/config-preference field must be \"local\"/\"client\" or \"remote\"/\"database\"", 120)
-
-def load_config(path, config_vector):
-	try:
-		f = open(path, "r")
-		config_vector.update(json.load(f))
-		f.close()
-		return 0
-	except:
-		f = open(path, "w")
-		f.write(sample_json)
-		f.close()
-		return 1
-
-def load_validation_schema():
-	try:
-		with open("validation-schema.json", "r") as f:
-			return json.load(f)
-	except:
-		raise FileNotFoundError("Validation schema not found at validation-schema.json")
-
-def save_config(path, config_vector):
-	f = open(path, "w+")
-	json.dump(config_vector, f, ensure_ascii=False, indent=4)
-	f.close()
-	return 0

src/cli/data.py

@@ -1,199 +0,0 @@
-import requests
-import pull
-import pandas as pd
-
-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}, verify=False)
-	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(client, competition, team_num):
-	db = client.data_scouting
-	mdata = db.matchdata
-	out = {}
-	for i in mdata.find({"competition" : competition, "team_scouted": str(team_num)}):
-		out[i['match']] = i['data']
-	return pd.DataFrame(out)
-
-def get_team_pit_data(client, competition, team_num):
-	db = client.data_scouting
-	mdata = db.pitdata
-	out = {}
-	return mdata.find_one({"competition" : competition, "team_scouted": str(team_num)})["data"]
-
-def get_team_metrics_data(client, competition, team_num):
-	db = client.data_processing
-	mdata = db.team_metrics
-	return mdata.find_one({"competition" : competition, "team": team_num})
-
-def get_match_data_formatted(client, competition):
-	teams_at_comp = pull.get_teams_at_competition(competition)
-	out = {}
-	for team in teams_at_comp:
-		try:
-			out[int(team)] = unkeyify_2l(get_team_match_data(client, competition, team).transpose().to_dict())
-		except:
-			pass
-	return out
-
-def get_metrics_data_formatted(client, competition):
-	teams_at_comp = pull.get_teams_at_competition(competition)
-	out = {}
-	for team in teams_at_comp:
-		try:
-			out[int(team)] = get_team_metrics_data(client, competition, int(team))
-		except:
-			pass
-	return out
-
-def get_pit_data_formatted(client, competition):
-	x=requests.get("https://titanscouting.epochml.org/api/fetchAllTeamNicknamesAtCompetition?competition="+competition)
-	x = x.json()
-	x = x['data']
-	x = x.keys()
-	out = {}
-	for i in x:
-		try:
-			out[int(i)] = get_team_pit_data(client, competition, int(i))
-		except:
-			pass
-	return out
-
-def get_pit_variable_data(client, competition):
-	db = client.data_processing
-	mdata = db.team_pit
-	out = {}
-	return mdata.find()
-
-def get_pit_variable_formatted(client, competition):
-	temp = get_pit_variable_data(client, competition)
-	out = {}
-	for i in temp:
-		out[i["variable"]] = i["data"]
-	return out
-
-def push_team_tests_data(client, competition, team_num, data, dbname = "data_processing", colname = "team_tests"):
-	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(client, competition, team_num, data, dbname = "data_processing", colname = "team_metrics"):
-	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(client, competition, variable, data, dbname = "data_processing", colname = "team_pit"):
-	db = client[dbname]
-	mdata = db[colname]
-	mdata.replace_one({"competition" : competition, "variable": variable}, {"competition" : competition, "variable" : variable, "data" : data}, True)
-
-def get_analysis_flags(client, flag):
-	db = client.data_processing
-	mdata = db.flags
-	return mdata.find_one({flag:{"$exists":True}})
-
-def set_analysis_flags(client, flag, data):
-	db = client.data_processing
-	mdata = db.flags
-	return mdata.replace_one({flag:{"$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
-
-def get_previous_time(client):
-
-	previous_time = get_analysis_flags(client, "latest_update")
-
-	if previous_time == None:
-
-		set_analysis_flags(client, "latest_update", 0)
-		previous_time = 0
-
-	else:
-
-		previous_time = previous_time["latest_update"]
-
-	return previous_time
-
-def set_current_time(client, current_time):
-
-	set_analysis_flags(client, "latest_update", {"latest_update":current_time})
-
-def get_database_config(client):
-
-	remote_config = get_analysis_flags(client, "config")
-	return remote_config["config"] if remote_config != None else None
-
-def set_database_config(client, config):
-
-	set_analysis_flags(client, "config", {"config": config})
-
-def load_match(client, competition):
-
-	return get_match_data_formatted(client, competition)
-
-def load_metric(client, competition, match, group_name, metrics):
-
-	group = {}
-
-	for team in match[group_name]:
-
-		db_data = get_team_metrics_data(client, competition, team)
-
-		if db_data == 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 load_pit(client, competition):
-
-	return get_pit_data_formatted(client, competition)
-
-def push_match(client, competition, results):
-
-	for team in results:
-
-		push_team_tests_data(client, competition, team, results[team])
-
-def push_metric(client, competition, metric):
-
-	for team in metric:
-
-		push_team_metrics_data(client, competition, team, metric[team])
-
-def push_pit(client, competition, pit):
-
-	for variable in pit:
-	
-		push_team_pit_data(client, competition, variable, pit[variable])
-
-def check_new_database_matches(client, competition):
-
-	return True

src/cli/exceptions.py

@@ -1,11 +0,0 @@
-class APIError(Exception):
-	code = None
-	def __init__(self, str, endpoint):
-		super().__init__(str)
-		self.endpoint = endpoint
-
-class ConfigurationError (Exception):
-	code = None
-	def __init__(self, str, code):
-		super().__init__(str)
-		self.code = code

src/cli/interface.py

@@ -1,44 +0,0 @@
-import sys
-import time
-from os import system, name
-import platform
-
-empty_delim = " "
-hard_divided_delim = "|"
-soft_divided_delim = "|"
-l_brack = "["
-r_brack = "]"
-
-ERR = "[ERR]"
-INF = "[INF]"
-
-stdout = sys.stdout
-stderr = sys.stderr
-
-def log(target, level, message, code = 0):
-
-	message = time.ctime() + empty_delim + str(level) + l_brack + f"{code:+05}" + r_brack + empty_delim + soft_divided_delim + empty_delim + message
-	print(message, file = target)
-
-def clear():
-	if name == "nt":
-		system("cls")
-	else:
-		system("clear")
-
-def splash(version):
-
-	def hrule():
-		print("#"+38*"-"+"#")
-	def box(s):
-		temp = "|"
-		temp += s
-		temp += (40-len(s)-2)*" "
-		temp += "|"
-		print(temp)
-	
-	hrule()
-	box(" superscript version: " + version)
-	box(" os: " + platform.system())
-	box(" python: " + platform.python_version())
-	hrule()

src/cli/pull.py

@@ -1,64 +0,0 @@
-import requests 
-import json
-from exceptions import APIError
-from config import load_config
-
-url = "https://titanscouting.epochml.org"
-config_tra = {}
-load_config("config.json", config_tra)
-trakey = config_tra['persistent']['key']['tra']
-
-def get_team_competition():
-	endpoint = '/api/fetchTeamCompetition'
-	params = {
-		"CLIENT_ID": trakey['CLIENT_ID'],
-		"CLIENT_SECRET": trakey['CLIENT_SECRET']
-	}
-	response = requests.request("GET", url + endpoint, params=params)
-	json = response.json()
-	if json['success']:
-		return json['competition']
-	else:
-		raise APIError(json, endpoint)
-
-def get_team():
-	endpoint = '/api/fetchTeamCompetition'
-	params = {
-		"CLIENT_ID": trakey['CLIENT_ID'],
-		"CLIENT_SECRET": trakey['CLIENT_SECRET']
-	}
-	response = requests.request("GET", url + endpoint, params=params)
-	json = response.json()
-	if json['success']:
-		return json['team']
-	else:
-		raise APIError(json, endpoint)
-
-def get_team_match_data(competition, team_num):
-	endpoint = '/api/fetchAllTeamMatchData'
-	params = {
-		"competition": competition,
-		"teamScouted": team_num,
-		"CLIENT_ID": trakey['CLIENT_ID'],
-		"CLIENT_SECRET": trakey['CLIENT_SECRET']
-	}
-	response = requests.request("GET", url + endpoint, params=params)
-	json = response.json()
-	if json['success']:
-		return json['data'][team_num]
-	else:
-		raise APIError(json, endpoint)
-
-def get_teams_at_competition(competition):
-	endpoint = '/api/fetchAllTeamNicknamesAtCompetition'
-	params = {
-		"competition": competition,
-		"CLIENT_ID": trakey['CLIENT_ID'],
-		"CLIENT_SECRET": trakey['CLIENT_SECRET']
-	}
-	response = requests.request("GET", url + endpoint, params=params)
-	json = response.json()
-	if json['success']:
-		return list(json['data'].keys())
-	else:
-		raise APIError(json, endpoint)

src/cli/superscript.spec

@@ -1,39 +0,0 @@
-# -*- mode: python ; coding: utf-8 -*-
-
-block_cipher = None
-
-a = Analysis(['superscript.py'],
-             pathex=['/workspaces/tra-data-analysis/src'],
-             binaries=[],
-             datas=[],
-             hiddenimports=[
-                 "dnspython", 
-                 "sklearn.utils._weight_vector",
-                 "requests",
-             ],
-             hookspath=[],
-             runtime_hooks=[],
-             excludes=[
-                 "matplotlib",
-                 "pandas"
-                 ],
-             win_no_prefer_redirects=False,
-             win_private_assemblies=False,
-             cipher=block_cipher,
-             noarchive=False)
-pyz = PYZ(a.pure, a.zipped_data,
-             cipher=block_cipher)
-exe = EXE(pyz,
-          a.scripts,
-          a.binaries,
-          a.zipfiles,
-          a.datas,
-          [('W ignore', None, 'OPTION')],
-          name='superscript',
-          debug=False,
-          bootloader_ignore_signals=False,
-          strip=False,
-          upx=True,
-          upx_exclude=[],
-          runtime_tmpdir=None,
-          console=True )

src/cli/validation-schema.json

@@ -1,27 +0,0 @@
-{
-  "persistent": {
-    "type": "dict",
-    "require_all": true,
-    "schema": {
-      "key": {
-        "type": "dict",
-        "require_all":true,
-        "schema": {
-          "database": {"type":"string"},
-          "tba": {"type": "string"},
-          "tra": {
-            "type": "dict",
-            "require_all": true,
-            "schema": {
-              "CLIENT_ID": {"type": "string"},
-              "CLIENT_SECRET": {"type": "string"},
-			  "url": {"type": "string"}
-            }
-          }
-        }
-      },
-      "config-preference": {"type": "string", "required": true},
-      "synchronize-config": {"type": "boolean", "required": true}
-    }
-  }
-}

src/config.py

@@ -0,0 +1,240 @@
+import json
+from exceptions import ConfigurationError
+from cerberus import Validator
+
+class Configuration:
+
+	path = None
+	config = {}
+
+	_sample_config = {
+		"persistent":{
+			"key":{
+				"database":"",
+				"tba":"",
+				"tra":{
+					"CLIENT_ID":"",
+					"CLIENT_SECRET":"",
+					"url": ""
+				}
+			},
+			"config-preference":"local",
+			"synchronize-config":False
+		},
+		"variable":{
+			"event-delay":False,
+			"loop-delay":0,
+			"competition": "2020ilch",
+			"modules":{
+				"match":{
+					"tests":{
+						"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":{
+					"tests":{
+						"elo":{
+							"score":1500,
+							"N":400,
+							"K":24
+						},
+						"gl2":{
+							"score":1500,
+							"rd":250,
+							"vol":0.06
+						},
+						"ts":{
+							"mu":25,
+							"sigma":8.33
+						}
+					}
+				},
+				"pit":{
+					"tests":{
+						"wheel-mechanism":True,
+						"low-balls":True,
+						"high-balls":True,
+						"wheel-success":True,
+						"strategic-focus":True,
+						"climb-mechanism":True,
+						"attitude":True
+					}
+				}
+			}
+		}
+	}
+
+	_validation_schema = {
+		"persistent": {
+			"type": "dict",
+			"required": True,
+			"require_all": True,
+			"schema": {
+				"key": {
+					"type": "dict",
+					"require_all":True,
+					"schema": {
+						"database": {"type":"string"},
+						"tba": {"type": "string"},
+						"tra": {
+							"type": "dict",
+							"require_all": True,
+							"schema": {
+								"CLIENT_ID": {"type": "string"},
+								"CLIENT_SECRET": {"type": "string"},
+								"url": {"type": "string"}
+							}
+						}
+					}
+				},
+				"config-preference": {"type": "string", "required": True},
+				"synchronize-config": {"type": "boolean", "required": True}
+			}
+		}
+	}	
+
+	def __init__(self, path):
+		self.path = path
+		self.load_config()
+		self.validate_config()
+
+	def load_config(self):
+		try:
+			f = open(self.path, "r")
+			self.config.update(json.load(f))
+			f.close()
+		except:
+			self.config = self._sample_config
+			self.save_config()
+			f.close()
+			raise ConfigurationError("could not find config file at <" + self.path + ">, created new sample config file at that path")
+
+	def save_config(self):
+		f = open(self.path, "w+")
+		json.dump(self.config, f, ensure_ascii=False, indent=4)
+		f.close()
+
+	def validate_config(self):
+		v = Validator(self._validation_schema, allow_unknown = True)
+		isValidated = v.validate(self.config)
+
+		if not isValidated:
+			raise ConfigurationError("config validation error: " + v.errors)
+
+	def __getattr__(self, name): # better hashed lookup method for common multikey-value paths, TYPE UNSAFE
+		attr_lookup = {
+			"persistent": self.config["persistent"],
+			"key": self.config["persistent"]["key"],
+			"database": self.config["persistent"]["key"]["database"],
+			"tba": self.config["persistent"]["key"]["tba"],
+			"tra": self.config["persistent"]["key"]["tra"],
+			"priority": self.config["persistent"]["config-preference"],
+			"sync": self.config["persistent"]["synchronize-config"],
+			"variable": self.config["variable"],
+			"event_delay": self.config["variable"]["event-delay"],
+			"loop_delay": self.config["variable"]["loop-delay"],
+			"competition": self.config["variable"]["competition"],
+			"modules": self.config["variable"]["modules"]
+		}
+		try:
+			return attr_lookup[name]
+		except KeyError:
+			return None
+
+	def __getitem__(self, key):
+		return self.config[key]
+
+	def resolve_config_conflicts(self, logger, client): # needs improvement with new localization scheme
+		sync = self.sync
+		priority = self.priority
+
+		if sync:
+			if priority == "local" or priority == "client":
+				logger.info("config-preference set to local/client, loading local config information")
+				remote_config = client.get_database_config()
+				if remote_config != self.config["variable"]:
+					client.set_database_config(self.config["variable"])
+					logger.info("database config was different and was updated")
+				# no change to config
+			elif priority == "remote" or priority == "database":
+				logger.info("config-preference set to remote/database, loading remote config information")
+				remote_config = client.get_database_config()
+				if remote_config != self.config["variable"]:
+					self.config["variable"] = remote_config
+					self.save_config()
+					# change variable to match remote
+					logger.info("local config was different and was updated")
+			else:
+				raise ConfigurationError("persistent/config-preference field must be \"local\"/\"client\" or \"remote\"/\"database\"")
+		else:
+			if priority == "local" or priority == "client":
+				logger.info("config-preference set to local/client, loading local config information")
+				# no change to config
+			elif priority == "remote" or priority == "database":
+				logger.info("config-preference set to remote/database, loading database config information")
+				self.config["variable"] = client.get_database_config()
+				# change variable to match remote without updating local version
+			else:
+				raise ConfigurationError("persistent/config-preference field must be \"local\"/\"client\" or \"remote\"/\"database\"")

src/data.py

@@ -0,0 +1,298 @@
+import requests
+import pandas as pd
+import pymongo
+from exceptions import APIError
+
+class Client:
+
+	def __init__(self, config):
+		self.competition = config.competition
+		self.tbakey = config.tba
+		self.mongoclient = pymongo.MongoClient(config.database)
+		self.trakey = config.tra
+
+	def close(self):
+		self.mongoclient.close()
+
+	def pull_new_tba_matches(self, cutoff):
+		competition = self.competition
+		api_key= self.tbakey
+		x=requests.get("https://www.thebluealliance.com/api/v3/event/"+competition+"/matches/simple", headers={"X-TBA-Auth-Key":api_key})
+		json = x.json()
+		out = []
+		for i in json:
+			if i["actual_time"] != None 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"]})
+		out.sort(key=lambda x: x['match'])
+		return out
+
+	def get_team_match_data(self, team_num):
+		client = self.mongoclient
+		competition = self.competition
+		db = client.data_scouting
+		mdata = db.matchdata
+		out = {}
+		for i in mdata.find({"competition" : competition, "team_scouted": str(team_num)}):
+			out[i['match']] = i['data']
+		return pd.DataFrame(out)
+
+	def get_team_metrics_data(self, team_num):
+		client = self.mongoclient
+		competition = self.competition
+		db = client.data_processing
+		mdata = db.team_metrics
+		return mdata.find_one({"competition" : competition, "team": team_num})
+
+	def get_team_pit_data(self, team_num):
+		client = self.mongoclient
+		competition = self.competition
+		db = client.data_scouting
+		mdata = db.pitdata
+		return mdata.find_one({"competition" : competition, "team_scouted": str(team_num)})["data"]
+
+	def unkeyify_2l(self, 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
+
+	def get_match_data_formatted(self):
+		teams_at_comp = self.get_teams_at_competition()
+		out = {}
+		for team in teams_at_comp:
+			try:
+				out[int(team)] = self.unkeyify_2l(self.get_team_match_data(team).transpose().to_dict())
+			except:
+				pass	
+		return out
+
+	def get_metrics_data_formatted(self):
+		competition = self.competition
+		teams_at_comp = self.get_teams_at_competition()
+		out = {}
+		for team in teams_at_comp:
+			try:
+				out[int(team)] = self.get_team_metrics_data(int(team))
+			except:
+				pass
+		return out
+
+	def get_pit_data_formatted(self):
+		client = self.mongoclient
+		competition = self.competition
+		x=requests.get("https://titanscouting.epochml.org/api/fetchAllTeamNicknamesAtCompetition?competition="+competition)
+		x = x.json()
+		x = x['data']
+		x = x.keys()
+		out = {}
+		for i in x:
+			try:
+				out[int(i)] = self.get_team_pit_data(int(i))
+			except:
+				pass
+		return out
+
+	def get_pit_variable_data(self):
+		client = self.mongoclient
+		db = client.data_processing
+		mdata = db.team_pit
+		return mdata.find()
+
+	def get_pit_variable_formatted(self):
+		temp = self.get_pit_variable_data()
+		out = {}
+		for i in temp:
+			out[i["variable"]] = i["data"]
+		return out
+
+	def push_team_tests_data(self, team_num, data, dbname = "data_processing", colname = "team_tests"):
+		client = self.mongoclient
+		competition = self.competition
+		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(self, team_num, data, dbname = "data_processing", colname = "team_metrics"):
+		client = self.mongoclient
+		competition = self.competition
+		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(self, variable, data, dbname = "data_processing", colname = "team_pit"):
+		client = self.mongoclient
+		competition = self.competition
+		db = client[dbname]
+		mdata = db[colname]
+		mdata.replace_one({"competition" : competition, "variable": variable}, {"competition" : competition, "variable" : variable, "data" : data}, True)
+
+	def get_analysis_flags(self, flag):
+		client = self.mongoclient
+		db = client.data_processing
+		mdata = db.flags
+		return mdata.find_one({flag:{"$exists":True}})
+
+	def set_analysis_flags(self, flag, data):
+		client = self.mongoclient
+		db = client.data_processing
+		mdata = db.flags
+		return mdata.replace_one({flag:{"$exists":True}}, data, True)
+
+	def get_previous_time(self):
+
+		previous_time = self.get_analysis_flags("latest_update")
+
+		if previous_time == None:
+
+			self.set_analysis_flags("latest_update", 0)
+			previous_time = 0
+
+		else:
+
+			previous_time = previous_time["latest_update"]
+
+		return previous_time
+
+	def set_current_time(self, current_time):
+
+		self.set_analysis_flags("latest_update", {"latest_update":current_time})
+
+	def get_database_config(self):
+
+		remote_config = self.get_analysis_flags("config")
+		return remote_config["config"] if remote_config != None else None
+
+	def set_database_config(self, config):
+
+		self.set_analysis_flags("config", {"config": config})
+
+	def load_match(self):
+
+		return self.get_match_data_formatted()
+
+	def load_metric(self, match, group_name, metrics):
+
+		group = {}
+
+		for team in match[group_name]:
+
+			db_data = self.get_team_metrics_data(team)
+
+			if db_data == 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 load_pit(self):
+
+		return self.get_pit_data_formatted()
+
+	def push_match(self, results):
+
+		for team in results:
+
+			self.push_team_tests_data(team, results[team])
+
+	def push_metric(self, metric):
+
+		for team in metric:
+
+			self.push_team_metrics_data(team, metric[team])
+
+	def push_pit(self, pit):
+
+		for variable in pit:
+		
+			self.push_team_pit_data(variable, pit[variable])
+
+	def check_new_database_matches(self):
+
+		return True
+
+	#----- API implementations below -----#
+
+	def get_team_competition(self):
+		trakey = self.trakey
+		url = self.trakey['url']
+		endpoint = '/api/fetchTeamCompetition'
+		params = {
+			"CLIENT_ID": trakey['CLIENT_ID'],
+			"CLIENT_SECRET": trakey['CLIENT_SECRET']
+		}
+		response = requests.request("GET", url + endpoint, params=params)
+		json = response.json()
+		if json['success']:
+			return json['competition']
+		else:
+			raise APIError(json)
+
+	def get_team(self):
+		trakey = self.trakey
+		url = self.trakey['url']
+		endpoint = '/api/fetchTeamCompetition'
+		params = {
+			"CLIENT_ID": trakey['CLIENT_ID'],
+			"CLIENT_SECRET": trakey['CLIENT_SECRET']
+		}
+		response = requests.request("GET", url + endpoint, params=params)
+		json = response.json()
+		if json['success']:
+			return json['team']
+		else:
+			raise APIError(json)
+
+	""" doesn't seem to be functional:
+	def get_team_match_data(self, team_num):
+		trakey = self.trakey
+		url = self.trakey['url']
+		competition = self.competition
+		endpoint = '/api/fetchAllTeamMatchData'
+		params = {
+			"competition": competition,
+			"teamScouted": team_num,
+			"CLIENT_ID": trakey['CLIENT_ID'],
+			"CLIENT_SECRET": trakey['CLIENT_SECRET']
+		}
+		response = requests.request("GET", url + endpoint, params=params)
+		json = response.json()
+		if json['success']:
+			return json['data'][team_num]
+		else:
+			raise APIError(json)"""
+
+	def get_teams_at_competition(self):
+		trakey = self.trakey
+		url = self.trakey['url']
+		competition = self.competition
+		endpoint = '/api/fetchAllTeamNicknamesAtCompetition'
+		params = {
+			"competition": competition,
+			"CLIENT_ID": trakey['CLIENT_ID'],
+			"CLIENT_SECRET": trakey['CLIENT_SECRET']
+		}
+		response = requests.request("GET", url + endpoint, params=params)
+		json = response.json()
+		if json['success']:
+			return list(json['data'].keys())
+		else:
+			raise APIError(json)

src/exceptions.py

@@ -0,0 +1,7 @@
+class APIError(Exception):
+	def __init__(self, str):
+		super().__init__(str)
+
+class ConfigurationError (Exception):
+	def __init__(self, str):
+		super().__init__(str)

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/interface.py

@@ -0,0 +1,91 @@
+from logging import Logger as L
+import datetime
+import platform
+import json
+
+class Logger(L):
+
+	file = None
+
+	levels = {
+		0: "",
+		10:"[DEBUG]   ",
+		20:"[INFO]    ",
+		30:"[WARNING] ",
+		40:"[ERROR]   ",
+		50:"[CRITICAL]",
+	}
+
+	targets = []
+
+	def __init__(self, verbose, profile, debug, file = None):
+		super().__init__("tra_logger")
+
+		self.file = file
+
+		if file is not None:
+			self.targets.append(self._send_file)
+
+		if profile:
+			self.targets.append(self._send_null)
+		elif verbose:
+			self.targets.append(self._send_scli)
+		elif debug:
+			self.targets.append(self._send_scli)
+		else:
+			self.targets.append(self._send_null)
+
+	def _send_null(self, msg):
+		pass
+
+	def _send_scli(self, msg):
+		print(msg)
+
+	def _send_file(self, msg):
+		f = open(self.file, 'a')
+		f.write(msg + "\n")
+		f.close()
+
+	def get_time_formatted(self):
+		return datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S %Z")
+
+	def log(self, level, msg):
+		for t in self.targets:
+			t(self.get_time_formatted() + "| " + self.levels[level] + ": " + msg)
+
+	def debug(self, msg):
+		self.log(10, msg)
+
+	def info(self, msg):
+		self.log(20, msg)
+
+	def warning(self, msg):
+		self.log(30, msg)
+
+	def error(self, msg):
+		self.log(40, msg)
+
+	def critical(self, msg):
+		self.log(50, msg)
+
+	def splash(self, version):
+
+		def hrule():
+			self.log(0, "#"+38*"-"+"#")
+		def box(s):
+			temp = "|"
+			temp += s
+			temp += (40-len(s)-2)*" "
+			temp += "|"
+			self.log(0, temp)
+		
+		hrule()
+		box(" superscript version: " + version)
+		box(" os: " + platform.system())
+		box(" python: " + platform.python_version())
+		hrule()
+
+	def save_module_to_file(self, module, data, results):
+		f = open(module + ".log", "w")
+		json.dump({"data": data, "results":results}, f, ensure_ascii=False, indent=4)
+		f.close()

src/module.py

@@ -1,8 +1,8 @@
 import abc
-import data as d
 import signal
 import numpy as np
 from tra_analysis import Analysis as an
+from tqdm import tqdm
 
 class Module(metaclass = abc.ABCMeta):
 
@@ -16,43 +16,39 @@ class Module(metaclass = abc.ABCMeta):
 				callable(subclass.run)
 				)
 	@abc.abstractmethod
-	def __init__(self, config, apikey, tbakey, timestamp, competition, *args, **kwargs):
+	def __init__(self, *args, **kwargs):
 		raise NotImplementedError
 	@abc.abstractmethod
 	def validate_config(self, *args, **kwargs):
 		raise NotImplementedError
 	@abc.abstractmethod
-	def run(self, exec_threads, *args, **kwargs):
+	def run(self, *args, **kwargs):
 		raise NotImplementedError
 
 class Match (Module):
 
 	config = None
-	apikey = None
-	tbakey = None
 	timestamp = None
-	competition = None
+	client = None
 
 	data = None
 	results = None
 	
-	def __init__(self, config, apikey, tbakey, timestamp, competition):
+	def __init__(self, config, timestamp, client):
 		self.config = config
-		self.apikey = apikey
-		self.tbakey = tbakey
 		self.timestamp = timestamp
-		self.competition = competition
+		self.client = client
 
 	def validate_config(self):
 		return True, ""
 
-	def run(self, exec_threads):
+	def run(self):
 		self._load_data()
-		self._process_data(exec_threads)
+		self._process_data()
 		self._push_results()
 
 	def _load_data(self):
-		self.data = d.load_match(self.apikey, self.competition)
+		self.data = self.client.load_match()
 
 	def _simplestats(self, data_test):
 
@@ -85,14 +81,14 @@ class Match (Module):
 		if test == "regression_sigmoidal":
 			return an.regression(ranges, data, ['sig'])
 
-	def _process_data(self, exec_threads):
+	def _process_data(self):
 
 		tests = self.config["tests"]
 		data = self.data
 
 		input_vector = []
 
-		for team in data:
+		for team in tqdm(data, desc = "Match Module ", unit = " team"):
 
 			for variable in data[team]:
 
@@ -103,7 +99,6 @@ class Match (Module):
 						input_vector.append((team, variable, test, data[team][variable]))
 
 		self.data = input_vector
-		#self.results = list(exec_threads.map(self._simplestats, self.data))
 		self.results = []
 		for test_var_data in self.data:
 			self.results.append(self._simplestats(test_var_data))
@@ -141,38 +136,36 @@ class Match (Module):
 
 		self.results = return_vector
 
-		d.push_match(self.apikey, self.competition, self.results)
+		self.client.push_match(self.results)
 
 class Metric (Module):
 
 	config = None
-	apikey = None
-	tbakey = None
 	timestamp = None
-	competition = None
+	client = None
 
 	data = None
 	results = None
 	
-	def __init__(self, config, apikey, tbakey, timestamp, competition):
+	def __init__(self, config, timestamp, client):
 		self.config = config
-		self.apikey = apikey
-		self.tbakey = tbakey
 		self.timestamp = timestamp
-		self.competition = competition
+		self.client = client
 
 	def validate_config(self):
 		return True, ""
 
-	def run(self, exec_threads):
+	def run(self):
 		self._load_data()
-		self._process_data(exec_threads)
+		self._process_data()
 		self._push_results()
 
 	def _load_data(self):
-		self.data = d.pull_new_tba_matches(self.tbakey, self.competition, self.timestamp)
+		self.data = self.client.pull_new_tba_matches(self.timestamp)
 
-	def _process_data(self, exec_threads):
+	def _process_data(self):
+
+		self.results = {}
 
 		elo_N = self.config["tests"]["elo"]["N"]
 		elo_K = self.config["tests"]["elo"]["K"]
@@ -182,10 +175,10 @@ class Metric (Module):
 		red = {}
 		blu = {}
 
-		for match in matches:
+		for match in tqdm(matches, desc = "Metric Module ", unit = " match"):
 
-			red = d.load_metric(self.apikey, self.competition, match, "red", self.config["tests"])
+			red = self.client.load_metric(match, "red", self.config["tests"])
-			blu = d.load_metric(self.apikey, self.competition, match, "blue", self.config["tests"])
+			blu = self.client.load_metric(match, "blue", self.config["tests"])
 	
 			elo_red_total = 0
 			elo_blu_total = 0
@@ -263,7 +256,9 @@ class Metric (Module):
 			temp_vector.update(red)
 			temp_vector.update(blu)
 
-			d.push_metric(self.apikey, self.competition, temp_vector)
+			self.results[match['match']] = temp_vector
+
+			self.client.push_metric(temp_vector)
 
 	def _push_results(self):
 		pass
@@ -271,37 +266,32 @@ class Metric (Module):
 class Pit (Module):
 
 	config = None
-	apikey = None
-	tbakey = None
 	timestamp = None
-	competition = None
+	client = None
 
 	data = None
 	results = None
 	
-	def __init__(self, config, apikey, tbakey, timestamp, competition):
+	def __init__(self, config, timestamp, client):
 		self.config = config
-		self.apikey = apikey
-		self.tbakey = tbakey
 		self.timestamp = timestamp
-		self.competition = competition
+		self.client = client
 	
 	def validate_config(self):
 		return True, ""
 
-	def run(self, exec_threads):
+	def run(self):
 		self._load_data()
-		self._process_data(exec_threads)
+		self._process_data()
 		self._push_results()
 
 	def _load_data(self):
-		self.data = d.load_pit(self.apikey, self.competition)
+		self.data = self.client.load_pit()
 
-	def _process_data(self, exec_threads):
+	def _process_data(self):
 		tests = self.config["tests"]
-		print(tests)
 		return_vector = {}
-		for team in self.data:
+		for team in tqdm(self.data, desc = "Pit Module ", unit = " team"):
 			for variable in self.data[team]:
 				if variable in tests:
 					if not variable in return_vector:
@@ -311,7 +301,7 @@ class Pit (Module):
 		self.results = return_vector
 
 	def _push_results(self):
-		d.push_pit(self.apikey, self.competition, self.results)
+		self.client.push_pit(self.results)
 
 class Rating (Module):
 	pass

src/superscript.py

@@ -9,8 +9,7 @@ __version__ = "1.0.0"
 __changelog__ = """changelog:
 	1.0.0:
 		- superscript now runs in PEP 3143 compliant well behaved daemon on Linux systems
-		- linux superscript daemon has integrated websocket output to monitor progress/status remotely
+		- removed daemon and socket functionality, user can implement using external software
-		- linux daemon now sends stderr to errorlog.log
 		- added verbose option to linux superscript to allow for interactive output
 		- moved pymongo import to superscript.py
 		- added profile option to linux superscript to profile runtime of script
@@ -23,6 +22,9 @@ __changelog__ = """changelog:
 			- config-preference option selects between prioritizing local config and prioritizing database config
 			- synchronize-config option selects whether to update the non prioritized config with the prioritized one
 			- divided config options between persistent ones (keys), and variable ones (everything else)
+		- generalized behavior of various core components by collecting loose functions in several dependencies into classes
+			- module.py contains classes, each one represents a single data analysis routine
+			- config.py contains the Configuration class, which stores the configuration information and abstracts the getter methods
 	0.9.3:
 		- improved data loading performance by removing redundant PyMongo client creation (120s to 14s)
 		- passed singular instance of PyMongo client as standin for apikey parameter in all data.py functions
@@ -144,47 +146,23 @@ __author__ = (
 	"Jacob Levine <jlevine@imsa.edu>",
 )
 
-__all__ = [
-	"load_config",
-	"save_config",
-]
-
 # imports:
 
-import json
+import argparse, sys, time, traceback, warnings
-from multiprocessing import freeze_support
+from config import Configuration, ConfigurationError
-import os
+from data import Client
-import pymongo
+from interface import Logger
-import sys
-import time
-import traceback
-import warnings
-import zmq
-import pull
-from config import parse_config_persistent, parse_config_variable, resolve_config_conflicts, load_config, save_config, ConfigurationError
-from data import get_previous_time, set_current_time, check_new_database_matches
-from interface import splash, log, ERR, INF, stdout, stderr
 from module import Match, Metric, Pit
 
-config_path = "config.json"
+def main(logger, verbose, profile, debug, config_path):
-
-def main(send, verbose = False, profile = False, debug = False):
 
 	def close_all():
-		if "exec_threads" in locals():
-			exec_threads.terminate()
-			exec_threads.join()
-			exec_threads.close()
 		if "client" in locals():
 			client.close()
-		if "f" in locals():
-			f.close()
 
 	warnings.filterwarnings("ignore")
-	exit_code = 0
 
-	if verbose:
+	logger.splash(__version__)
-		splash(__version__)
 
 	modules = {"match": Match, "metric": Metric, "pit": Pit}
 
@@ -194,197 +172,131 @@ def main(send, verbose = False, profile = False, debug = False):
 
 			loop_start = time.time()
 
-			send(stdout, INF, "current time: " + str(loop_start))
+			logger.info("current time: " + str(loop_start))
 
-			config = {}
+			config = Configuration(config_path)
-
-			if load_config(config_path, config):
-				raise ConfigurationError("could not find config at <" + config_path + ">, generating blank config and exiting", 110)
 			
-			send(stdout, INF, "found and loaded config at <" + config_path + ">")
+			logger.info("found and loaded config at <" + config_path + ">")
 
-			apikey, tbakey, preference, sync = parse_config_persistent(send, config)
+			client = Client(config)
 
-			send(stdout, INF, "found and loaded database and tba keys")
+			logger.info("established connection to database")
 
-			client = pymongo.MongoClient(apikey)
+			previous_time = client.get_previous_time()
 
-			send(stdout, INF, "established connection to database")
+			logger.info("analysis backtimed to: " + str(previous_time))
-			previous_time = get_previous_time(client)
-			send(stdout, INF, "analysis backtimed to: " + str(previous_time))
 
-			config = resolve_config_conflicts(send, client, config, preference, sync)
+			config.resolve_config_conflicts(logger, client)
+
+			config_modules, competition = config.modules, config.competition
+
+			client.competition = competition
 
-			exec_threads, config_modules = parse_config_variable(send, config)
-			if 'competition' in config['variable']:
-				competition = config['variable']['competition']
-			else:
-				competition = pull.get_team_competition()
 			for m in config_modules:
 				if m in modules:
 					start = time.time()
-					current_module = modules[m](config_modules[m], client, tbakey, previous_time, competition)
+					current_module = modules[m](config_modules[m], previous_time, client)
 					valid = current_module.validate_config()
 					if not valid:
 						continue
-					current_module.run(exec_threads)
+					current_module.run()
-					send(stdout, INF, m + " module finished in " + str(time.time() - start) + " seconds")
+					logger.info(m + " module finished in " + str(time.time() - start) + " seconds")
 					if debug:
-						f = open(m + ".log", "w+")
+						logger.save_module_to_file(m, current_module.data, current_module.results) # logging flag check done in logger
-						json.dump({"data": current_module.data, "results":current_module.results}, f, ensure_ascii=False, indent=4)
-						f.close()
 
-			set_current_time(client, loop_start)
+			client.set_current_time(loop_start)
 			close_all()
 
-			send(stdout, INF, "closed threads and database client")
+			logger.info("closed threads and database client")
-			send(stdout, INF, "finished all tasks in " + str(time.time() - loop_start) + " seconds, looping")
+			logger.info("finished all tasks in " + str(time.time() - loop_start) + " seconds, looping")
 
 			if profile:
-				exit_code = 0
+				return 0
-				break
+
+			if debug:
+				return 0
 
 			event_delay = config["variable"]["event-delay"]
 			if event_delay:
-				send(stdout, INF, "loop delayed until database returns new matches")
+				logger.info("loop delayed until database returns new matches")
 				new_match = False
 				while not new_match:
 					time.sleep(1)
-					new_match = check_new_database_matches(client, competition)
+					new_match = client.check_new_database_matches()
-				send(stdout, INF, "database returned new matches")
+				logger.info("database returned new matches")
 			else:
 				loop_delay = float(config["variable"]["loop-delay"])
 				remaining_time = loop_delay - (time.time() - loop_start)
 				if remaining_time > 0:
-					send(stdout, INF, "loop delayed by " + str(remaining_time) + " seconds")
+					logger.info("loop delayed by " + str(remaining_time) + " seconds")
 					time.sleep(remaining_time)
 
 		except KeyboardInterrupt:
-			send(stdout, INF, "detected KeyboardInterrupt, killing threads")
 			close_all()
-			send(stdout, INF, "terminated threads, exiting")
+			logger.info("detected KeyboardInterrupt, exiting")
-			break
+			return 0
 
 		except ConfigurationError as e:
-			send(stderr, ERR, "encountered a configuration error: " + str(e), code = e.code)
+			str_e = "".join(traceback.format_exception(e))
-			traceback.print_exc(file = stderr)
+			logger.error("encountered a configuration error: " + str(e))
-			exit_code = 1
+			logger.error(str_e)
 			close_all()
-			break
+			return 1
 
 		except Exception as e:
-			send(stderr, ERR, "encountered an exception while running", code = 1)
+			str_e = "".join(traceback.format_exception(e))
-			traceback.print_exc(file = stderr)
+			logger.error("encountered an exception while running")
-			exit_code = 1
+			logger.error(str_e)
 			close_all()
-			break
+			return 1
-	
-	return exit_code
 
-def start(pid_path, verbose = False, profile = False, debug = False):
+def start(verbose, profile, debug, config_path, log_path):
+
+	logger = Logger(verbose, profile, debug, file = log_path)
 
 	if profile:
 
-		def send(target, level, message, code = 0):
-			pass
-
 		import cProfile, pstats, io
 		profile = cProfile.Profile()
 		profile.enable()
-		exit_code = main(send, profile = True)
+		exit_code = main(logger, verbose, profile, debug, config_path)
 		profile.disable()
-		f = open("profile.txt", 'w+')
+		f = open("profile.txt", "w+")
-		ps = pstats.Stats(profile, stream = f).sort_stats('cumtime')
+		ps = pstats.Stats(profile, stream = f).sort_stats("cumtime")
 		ps.print_stats()
 		sys.exit(exit_code)
 
 	elif verbose:
 
-		exit_code = main(log, verbose = verbose)
+		exit_code = main(logger, verbose, profile, debug, config_path)
 		sys.exit(exit_code)
 
 	elif debug:
 
-		exit_code = main(log, verbose = True, profile = True, debug = debug)
+		exit_code = main(logger, verbose, profile, debug, config_path)
 		sys.exit(exit_code)
 
 	else:
-		
-		f = open('errorlog.log', 'w+')
-		with daemon.DaemonContext(
-			working_directory = os.getcwd(),
-			pidfile = pidfile.TimeoutPIDLockFile(pid_path),
-			stderr = f
-			):
 
-			context = zmq.Context()
+		pass # must be vebose, debug or profile
-			socket = context.socket(zmq.PUB)
-			socket.bind("tcp://*:5678")
-
-			socket.send(b'status')
-
-			def send(target, level, message, code = 0):
-				socket.send(bytes("status: " + message, 'utf-8'))
-
-			exit_code = main(send)
-			socket.close()
-			f.close()
-			sys.exit(exit_code)
-
-def stop(pid_path):
-	try:
-		pf = open(pid_path, 'r')
-		pid = int(pf.read().strip())
-		pf.close()
-	except IOError:
-		sys.stderr.write("pidfile at <" + pid_path + "> does not exist. Daemon not running?\n")
-		return
-
-	try:
-		while True:
-			os.kill(pid, SIGTERM)
-			time.sleep(0.01)
-	except OSError as err:
-		err = str(err)
-		if err.find("No such process") > 0:
-			if os.path.exists(pid_path):
-				os.remove(pid_path)
-		else:
-			traceback.print_exc(file = stderr)
-			sys.exit(1)
-
-def restart(pid_path):
-	stop(pid_path)
-	start(pid_path)
 
 if __name__ == "__main__":
 
-	if sys.platform.startswith("win"):
+	parser = argparse.ArgumentParser(description = "TRA data processing application.")
-		freeze_support()
+	parser.add_argument("mode", metavar = "MODE", type = str, nargs = 1, choices = ["verbose", "profile", "debug"], help = "verbose, debug, profile")
-		start(None, verbose = True)
+	parser.add_argument("--config", dest = "config", default = "config.json", type = str, help = "path to config file")
+	parser.add_argument("--logfile", dest = "logfile", default = "logfile.log", type = str, help = "path to log file")
 
-	else:
+	args = parser.parse_args()
-		import daemon
+
-		from daemon import pidfile
+	mode = args.mode[0]
-		from signal import SIGTERM
+	config_path = args.config
-		pid_path = "tra-daemon.pid"
+	log_path = args.logfile
-		if len(sys.argv) == 2:
+	if mode == "verbose":
-			if 'start' == sys.argv[1]:
+		start(True, False, False, config_path = config_path, log_path = log_path)
-				start(pid_path)
+	elif mode == "profile":
-			elif 'stop' == sys.argv[1]:
+		start(False, True, False, config_path = config_path, log_path = log_path)
-				stop(pid_path)
+	elif mode == "debug":
-			elif 'restart' == sys.argv[1]:
+		start(False, False, True, config_path = config_path, log_path = log_path)
-				restart(pid_path)
+	
-			elif 'verbose' == sys.argv[1]:
+	exit(0)
-				start(None, verbose = True)
-			elif 'profile' == sys.argv[1]:
-				start(None, profile=True)
-			elif 'debug' == sys.argv[1]:
-				start(None, debug = True)
-			else:
-				print("usage: %s start|stop|restart|verbose|profile|debug" % sys.argv[0])
-				sys.exit(2)
-			sys.exit(0)
-		else:
-			print("usage: %s start|stop|restart|verbose|profile|debug" % sys.argv[0])
-			sys.exit(2)