Merge branch 'competition'

This reverts commit 3fe2922e97.

.devcontainer/devcontainer.json

@@ -8,16 +8,10 @@
 		"python.pythonPath": "/usr/local/bin/python",
 		"python.linting.enabled": true,
 		"python.linting.pylintEnabled": true,
-		"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
-		"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
-		"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
-		"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
-		"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
-		"python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
-		"python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
-		"python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
-		"python.linting.pylintPath": "/usr/local/py-utils/bin/pylint",
-		"python.testing.pytestPath": "/usr/local/py-utils/bin/pytest"
+		"python.linting.pylintPath": "/usr/local/bin/pylint",
+		"python.testing.pytestPath": "/usr/local/bin/pytest",
+    "editor.tabSize": 4,
+    "editor.insertSpaces": false
 	},
 	"extensions": [
 		"mhutchie.git-graph",

.devcontainer/requirements.txt

@@ -0,0 +1,16 @@
+cerberus
+dnspython
+numpy
+pandas
+pyinstaller
+pylint
+pymongo
+pyparsing
+pytest
+python-daemon
+pyzmq
+requests
+scikit-learn
+scipy
+six
+tra-analysis

.github/ISSUE_TEMPLATE/bug_report.md

@@ -1,38 +0,0 @@
----
-name: Bug report
-about: Create a report to help us improve
-title: ''
-labels: ''
-assignees: ''
-
----
-
-**Describe the bug**
-A clear and concise description of what the bug is.
-
-**To Reproduce**
-Steps to reproduce the behavior:
-1. Go to '...'
-2. Click on '....'
-3. Scroll down to '....'
-4. See error
-
-**Expected behavior**
-A clear and concise description of what you expected to happen.
-
-**Screenshots**
-If applicable, add screenshots to help explain your problem.
-
-**Desktop (please complete the following information):**
- - OS: [e.g. iOS]
- - Browser [e.g. chrome, safari]
- - Version [e.g. 22]
-
-**Smartphone (please complete the following information):**
- - Device: [e.g. iPhone6]
- - OS: [e.g. iOS8.1]
- - Browser [e.g. stock browser, safari]
- - Version [e.g. 22]
-
-**Additional context**
-Add any other context about the problem here.

.github/ISSUE_TEMPLATE/feature_request.md

@@ -1,20 +0,0 @@
----
-name: Feature request
-about: Suggest an idea for this project
-title: ''
-labels: ''
-assignees: ''
-
----
-
-**Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-
-**Describe the solution you'd like**
-A clear and concise description of what you want to happen.
-
-**Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
-
-**Additional context**
-Add any other context or screenshots about the feature request here.

.gitignore

@@ -12,3 +12,13 @@
 **/errorlog.txt
 /dist/superscript.*
 /dist/superscript
+**/*.pid
+
+**/profile.*
+
+**/*.log
+**/errorlog.txt
+/dist/*
+
+slurm-tra-superscript.out
+config*.json

README.md

@@ -1,4 +1,4 @@
-# Red Alliance Analysis · ![GitHub release (latest by date)](https://img.shields.io/github/v/release/titanscout2022/red-alliance-analysis)
+# Red Alliance Analysis · ![GitHub release (latest by date)](https://img.shields.io/github/v/release/titanscouting/tra-superscript)
 
 Titan Robotics 2022 Strategy Team Repository for Data Analysis Tools. Included with these tools are the backend data analysis engine formatted as a python package, associated binaries for the analysis package, and premade scripts that can be pulled directly from this repository and will integrate with other Red Alliance applications to quickly deploy FRC scouting tools.
 

competition/config.py

@@ -0,0 +1,251 @@
+import json
+from exceptions import ConfigurationError
+from cerberus import Validator
+
+from data import set_database_config, get_database_config
+
+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): # simple linear lookup method for common multikey-value paths, TYPE UNSAFE
+		if name == "persistent":
+			return self.config["persistent"]
+		elif name == "key":
+			return self.config["persistent"]["key"]
+		elif name == "database":
+			# soon to be deprecated
+			return self.config["persistent"]["key"]["database"]
+		elif name == "tba":
+			return self.config["persistent"]["key"]["tba"]
+		elif name == "tra":
+			return self.config["persistent"]["key"]["tra"]
+		elif name == "priority":
+			return self.config["persistent"]["config-preference"]
+		elif name == "sync":
+			return self.config["persistent"]["synchronize-config"]
+		elif name == "variable":
+			return self.config["variable"]
+		elif name == "event_delay":
+			return self.config["variable"]["event-delay"]
+		elif name == "loop_delay":
+			return self.config["variable"]["loop-delay"]
+		elif name == "competition":
+			return self.config["variable"]["competition"]
+		elif name == "modules":
+			return self.config["variable"]["modules"]
+		else:
+			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 = get_database_config(client)
+				if remote_config != self.config["variable"]:
+					set_database_config(client, 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 = get_database_config(client)
+				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"] = get_database_config(client)
+				# change variable to match remote without updating local version
+			else:
+				raise ConfigurationError("persistent/config-preference field must be \"local\"/\"client\" or \"remote\"/\"database\"")

competition/data.py

@@ -0,0 +1,218 @@
+from calendar import c
+import requests
+import pull
+import pandas as pd
+import json
+
+def pull_new_tba_matches(apikey, competition, last_match):
+	api_key= apikey
+	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" and i["match_number"] > last_match :
+			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 pull_new_tba_matches_manual(apikey, competition, cutoff):
+	filename = competition+"-wins.json"
+	with open(filename, 'r') as f:
+		data = json.load(f)
+		return data
+
+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 clear_metrics(client, competition):
+	db = client.data_processing
+	data = db.team_metrics
+	data.delete_many({competition: competition})
+	return True
+
+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
+	temp = mdata.find_one({"team": team_num})
+	if temp != None:
+		if competition in temp['metrics'].keys():
+			temp = temp['metrics'][competition]
+		else :
+			temp = None
+	else:
+		temp = None
+	return temp
+
+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://scouting.titanrobotics2022.com/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.update_one({"team": team_num}, {"$set": {"metrics.{}".format(competition): data}}, upsert=True)
+
+def push_team_pit_data(client, competition, variable, data, dbname = "data_processing", colname = "team_pit"):
+	db = client[dbname]
+	mdata = db[colname]
+	mdata.replace_one({"competition" : competition, "variable": variable}, {"competition" : competition, "variable" : variable, "data" : data}, True)
+
+def get_analysis_flags(client, flag):
+	db = client.data_processing
+	mdata = db.flags
+	return mdata.find_one({"_id": "2022"})
+
+def set_analysis_flags(client, flag, data):
+	db = client.data_processing
+	mdata = db.flags
+	return mdata.update_one({"_id": "2022"}, {"$set": data})
+
+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:
+			gl2 = {"score": metrics["gl2"]["score"], "rd": metrics["gl2"]["rd"], "vol": metrics["gl2"]["vol"]}
+
+			group[team] = {"gl2": gl2}
+
+		else:
+
+			metrics = db_data
+
+			gl2 = metrics["gl2"]
+
+			group[team] = {"gl2": gl2}
+
+	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

competition/dep.py

@@ -0,0 +1,132 @@
+# contains deprecated functions, not to be used unless nessasary!
+
+import 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":{
+               "gl2":{
+                  "score":1500,
+                  "rd":250,
+                  "vol":0.06
+               },
+            }
+         },
+         "pit":{
+            "tests":{
+               "wheel-mechanism":true,
+               "low-balls":true,
+               "high-balls":true,
+               "wheel-success":true,
+               "strategic-focus":true,
+               "climb-mechanism":true,
+               "attitude":true
+            }
+         }
+      }
+   }
+}
+"""
+
+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

competition/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)

competition/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 != 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()

competition/module.py

@@ -0,0 +1,309 @@
+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):
+
+	@classmethod
+	def __subclasshook__(cls, subclass):
+		return (hasattr(subclass, '__init__') and 
+				callable(subclass.__init__) and 
+				hasattr(subclass, 'validate_config') and 
+				callable(subclass.validate_config) and
+				hasattr(subclass, 'run') and 
+				callable(subclass.run)
+				)
+	@abc.abstractmethod
+	def __init__(self, config, apikey, tbakey, timestamp, competition, *args, **kwargs):
+		raise NotImplementedError
+	@abc.abstractmethod
+	def validate_config(self, *args, **kwargs):
+		raise NotImplementedError
+	@abc.abstractmethod
+	def run(self, *args, **kwargs):
+		raise NotImplementedError
+
+class Match (Module):
+
+	config = None
+	apikey = None
+	tbakey = None
+	timestamp = None
+	competition = None
+
+	data = None
+	results = None
+	
+	def __init__(self, config, apikey, tbakey, timestamp, competition):
+		self.config = config
+		self.apikey = apikey
+		self.tbakey = tbakey
+		self.timestamp = timestamp
+		self.competition = competition
+
+	def validate_config(self):
+		return True, ""
+
+	def run(self):
+		self._load_data()
+		self._process_data()
+		self._push_results()
+
+	def _load_data(self):
+		self.data = d.load_match(self.apikey, self.competition)
+
+	def _simplestats(self, data_test):
+
+		signal.signal(signal.SIGINT, signal.SIG_IGN)
+
+		data = np.array(data_test[3])
+		data = data[np.isfinite(data)]
+		ranges = list(range(len(data)))
+
+		test = data_test[2]
+
+		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 _process_data(self):
+
+		tests = self.config["tests"]
+		data = self.data
+
+		input_vector = []
+
+		for team in data:
+
+			for variable in data[team]:
+
+				if variable in tests:
+
+					for test in tests[variable]:
+
+						input_vector.append((team, variable, test, data[team][variable]))
+
+		self.data = input_vector
+		self.results = []
+		for test_var_data in self.data:
+			self.results.append(self._simplestats(test_var_data))
+
+	def _push_results(self):
+
+		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
+
+		result_filtered = self.results
+		input_vector = self.data
+
+		return_vector = AutoVivification()
+
+		i = 0
+
+		for result in result_filtered:
+
+			filtered = input_vector[i][2]
+
+			try:
+				short = short_mapping[filtered]
+				return_vector[input_vector[i][0]][input_vector[i][1]][input_vector[i][2]] = result[short]
+			except KeyError: # not in mapping
+				return_vector[input_vector[i][0]][input_vector[i][1]][input_vector[i][2]] = result
+
+			i += 1
+
+		self.results = return_vector
+
+		d.push_match(self.apikey, self.competition, self.results)
+
+class Metric (Module):
+
+	config = None
+	apikey = None
+	tbakey = None
+	timestamp = None
+	competition = None
+
+	data = None
+	results = None
+	
+	def __init__(self, config, apikey, tbakey, timestamp, competition):
+		self.config = config
+		self.apikey = apikey
+		self.tbakey = tbakey
+		self.timestamp = timestamp
+		self.competition = competition
+
+	def validate_config(self):
+		return True, ""
+
+	def run(self):
+		self._load_data()
+		self._process_data()
+		self._push_results()
+
+	def _load_data(self):
+		self.last_match = d.get_analysis_flags(self.apikey, 'metrics_last_match')['metrics_last_match']
+		print("Previous last match", self.last_match)
+		self.data = d.pull_new_tba_matches(self.tbakey, self.competition, self.last_match)
+
+	def _process_data(self):
+
+		self.results = {}
+		self.match = self.last_match
+		matches = self.data
+		red = {}
+		blu = {}
+		for match in tqdm(matches, desc="Metrics"): # grab matches and loop through each one
+			self.match = max(self.match, int(match['match']))
+			red = d.load_metric(self.apikey, self.competition, match, "red", self.config["tests"]) # get the current ratings for red
+			blu = d.load_metric(self.apikey, self.competition, match, "blue", self.config["tests"]) # get the current ratings for blue
+
+			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: # for each team in red, add up gl2 score components
+
+				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: # for each team in blue, add up gl2 score components
+
+				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_gl2 = {"score": gl2_red_score_total / len(red), "rd": gl2_red_rd_total / len(red), "vol": gl2_red_vol_total / len(red)} # average the scores by dividing by 3
+			blu_gl2 = {"score": gl2_blu_score_total / len(blu), "rd": gl2_blu_rd_total / len(blu), "vol": gl2_blu_vol_total / len(blu)} # average the scores by dividing by 3
+
+
+			if match["winner"] == "red": # if red won, set observations to {"red": 1, "blu": 0}
+
+				observations = {"red": 1, "blu": 0}
+
+			elif match["winner"] == "blue": # if blue won, set observations to {"red": 0, "blu": 1}
+
+				observations = {"red": 0, "blu": 1}
+
+			else: # otherwise it was a tie and observations is {"red": 0.5, "blu": 0.5}
+
+				observations = {"red": 0.5, "blu": 0.5}
+
+
+			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"]]) # calculate new scores for gl2 for red
+			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"]]) # calculate new scores for gl2 for blue
+
+			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"]} # calculate gl2 deltas for red
+			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"]} # calculate gl2 deltas for blue
+
+			for team in red: # for each team on red, add the previous score with the delta to find the new score
+
+				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: # for each team on blue, add the previous score with the delta to find the new score
+
+				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) # update the team's score with the temporay vector
+			temp_vector.update(blu)
+
+			self.results[match['match']] = temp_vector
+
+			d.push_metric(self.apikey, self.competition, temp_vector) # push new scores to db
+		print("New last match", self.match)
+		d.set_analysis_flags(self.apikey, 'metrics_last_match', {'metrics_last_match': self.match})
+	def _push_results(self):
+		pass
+
+class Pit (Module):
+
+	config = None
+	apikey = None
+	tbakey = None
+	timestamp = None
+	competition = None
+
+	data = None
+	results = None
+	
+	def __init__(self, config, apikey, tbakey, timestamp, competition):
+		self.config = config
+		self.apikey = apikey
+		self.tbakey = tbakey
+		self.timestamp = timestamp
+		self.competition = competition
+	
+	def validate_config(self):
+		return True, ""
+
+	def run(self):
+		self._load_data()
+		self._process_data()
+		self._push_results()
+
+	def _load_data(self):
+		self.data = d.load_pit(self.apikey, self.competition)
+
+	def _process_data(self):
+		tests = self.config["tests"]
+		return_vector = {}
+		for team in self.data:
+			for variable in self.data[team]:
+				if variable in tests:
+					if not variable in return_vector:
+						return_vector[variable] = []
+					return_vector[variable].append(self.data[team][variable])
+
+		self.results = return_vector
+
+	def _push_results(self):
+		d.push_pit(self.apikey, self.competition, self.results)
+
+class Rating (Module):
+	pass
+
+class Heatmap (Module):
+	pass
+
+class Sentiment (Module):
+	pass

competition/pull.py

@@ -0,0 +1,63 @@
+import requests 
+from exceptions import APIError
+from dep import load_config
+
+url = "https://scouting.titanrobotics2022.com"
+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)
+
+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)
+
+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)
+
+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)

competition/requirements.txt

@@ -0,0 +1,15 @@
+cerberus
+dnspython
+numpy
+pandas
+pyinstaller
+pylint
+pymongo
+pyparsing
+python-daemon
+pyzmq
+requests
+scikit-learn
+scipy
+six
+tra-analysis

competition/superscript.py

@@ -0,0 +1,402 @@
+# Titan Robotics Team 2022: Superscript Script
+# Written by Arthur Lu, Jacob Levine, and Dev Singh
+# Notes:
+# setup:
+
+__version__ = "1.0.0"
+
+# changelog should be viewed using print(analysis.__changelog__)
+__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
+		- 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
+		- reduced memory usage slightly by consolidating the unwrapped input data
+		- added debug option, which performs one loop of analysis and dumps results to local files
+		- added event and time delay options to config
+			- event delay pauses loop until even listener recieves an update
+			- time delay pauses loop until the time specified has elapsed since the BEGINNING of previous loop
+		- added options to pull config information from database (reatins option to use local config file)
+			- 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
+	0.9.2:
+		- removed unessasary imports from data
+		- minor changes to interface
+	0.9.1:
+		- fixed bugs in configuration item loading exception handling
+	0.9.0:
+		- moved printing and logging related functions to interface.py (changelog will stay in this file)
+		- changed function return files for load_config and save_config to standard C values (0 for success, 1 for error)
+		- added local variables for config location
+		- moved dataset getting and setting functions to dataset.py (changelog will stay in this file)
+		- moved matchloop, metricloop, pitloop and helper functions (simplestats) to processing.py
+	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>",
+)
+
+# imports:
+
+import os, sys, time
+import pymongo # soon to be deprecated
+import traceback
+import warnings
+from config import Configuration, ConfigurationError
+from data import get_previous_time, set_current_time, check_new_database_matches, clear_metrics
+from interface import Logger
+from module import Match, Metric, Pit
+import zmq
+
+config_path = "config.json"
+
+def main(logger, verbose, profile, debug, socket_send = None):
+
+	def close_all():
+		if "client" in locals():
+			client.close()
+
+	warnings.filterwarnings("ignore")
+
+	logger.splash(__version__)
+
+	modules = {"match": Match, "metric": Metric, "pit": Pit}
+
+	while True:
+
+		try:
+
+			loop_start = time.time()
+
+			logger.info("current time: " + str(loop_start))
+			socket_send("current time: " + str(loop_start))
+
+			config = Configuration(config_path)
+			
+			logger.info("found and loaded config at <" + config_path + ">")
+			socket_send("found and loaded config at <" + config_path + ">")
+
+			apikey, tbakey = config.database, config.tba
+
+			logger.info("found and loaded database and tba keys")
+			socket_send("found and loaded database and tba keys")
+
+			client = pymongo.MongoClient(apikey)
+
+			logger.info("established connection to database")
+			socket_send("established connection to database")
+
+			previous_time = get_previous_time(client)
+
+			logger.info("analysis backtimed to: " + str(previous_time))
+			socket_send("analysis backtimed to: " + str(previous_time))
+
+			config.resolve_config_conflicts(logger, client)
+
+			config_modules, competition = config.modules, config.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)
+					valid = current_module.validate_config()
+					if not valid:
+						continue
+					current_module.run()
+					logger.info(m + " module finished in " + str(time.time() - start) + " seconds")
+					socket_send(m + " module finished in " + str(time.time() - start) + " seconds")
+					if debug:
+						logger.save_module_to_file(m, current_module.data, current_module.results) # logging flag check done in logger
+
+			set_current_time(client, loop_start)
+			close_all()
+
+			logger.info("closed threads and database client")
+			logger.info("finished all tasks in " + str(time.time() - loop_start) + " seconds, looping")
+			socket_send("closed threads and database client")
+			socket_send("finished all tasks in " + str(time.time() - loop_start) + " seconds, looping")
+
+			if profile:
+				return 0
+
+			if debug:
+				return 0
+
+			event_delay = config["variable"]["event-delay"]
+			if event_delay:
+				logger.info("loop delayed until database returns new matches")
+				socket_send("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)
+				logger.info("database returned new matches")
+				socket_send("database returned new matches")
+			else:
+				loop_delay = float(config["variable"]["loop-delay"])
+				remaining_time = loop_delay - (time.time() - loop_start)
+				if remaining_time > 0:
+					logger.info("loop delayed by " + str(remaining_time) + " seconds")
+					socket_send("loop delayed by " + str(remaining_time) + " seconds")
+					time.sleep(remaining_time)
+
+		except KeyboardInterrupt:
+			close_all()
+			logger.info("detected KeyboardInterrupt, exiting")
+			socket_send("detected KeyboardInterrupt, exiting")
+			return 0
+
+		except ConfigurationError as e:
+			str_e = "".join(traceback.format_exception(e))
+			logger.error("encountered a configuration error: " + str(e))
+			logger.error(str_e)
+			socket_send("encountered a configuration error: " + str(e))
+			socket_send(str_e)
+			close_all()
+			return 1
+
+		except Exception as e:
+			str_e = "".join(traceback.format_exception(e))
+			logger.error("encountered an exception while running")
+			logger.error(str_e)
+			socket_send("encountered an exception while running")
+			socket_send(str_e)
+			close_all()
+			return 1
+
+def start(pid_path, verbose, profile, debug):
+
+	if profile:
+
+		def send(msg):
+			pass
+
+		logger = Logger(verbose, profile, debug)
+
+		import cProfile, pstats, io
+		profile = cProfile.Profile()
+		profile.enable()
+		exit_code = main(logger, verbose, profile, debug, socket_send = send)
+		profile.disable()
+		f = open("profile.txt", 'w+')
+		ps = pstats.Stats(profile, stream = f).sort_stats('cumtime')
+		ps.print_stats()
+		sys.exit(exit_code)
+
+	elif verbose:
+
+		def send(msg):
+			pass
+
+		logger = Logger(verbose, profile, debug)
+
+		exit_code = main(logger, verbose, profile, debug, socket_send = send)
+		sys.exit(exit_code)
+
+	elif debug:
+
+		def send(msg):
+			pass
+
+		logger = Logger(verbose, profile, debug)
+
+		exit_code = main(logger, verbose, profile, debug, socket_send = send)
+		sys.exit(exit_code)
+
+	else:
+
+		logfile = "logfile.log"
+
+		f = open(logfile, 'w+')
+		f.close()
+
+		e = open('errorlog.log', 'w+')
+		with daemon.DaemonContext(
+				working_directory = os.getcwd(),
+				pidfile = pidfile.TimeoutPIDLockFile(pid_path),
+				stderr = e
+			):
+
+			context = zmq.Context()
+			socket = context.socket(zmq.PUB)
+			socket.bind("tcp://*:5678")
+			socket.send(b'status')
+
+			def send(msg):
+				socket.send(bytes("status: " + msg, "utf-8"))
+
+			logger = Logger(verbose, profile, debug, file = logfile)
+
+			exit_code = main(logger, verbose, profile, debug, socket_send = 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 = sys.stderr)
+			sys.exit(1)
+
+def restart(pid_path):
+	stop(pid_path)
+	start(pid_path, False, False, False)
+
+if __name__ == "__main__":
+
+	if sys.platform.startswith("win"):
+		start(None, verbose = True)
+
+	else:
+		import daemon
+		from daemon import pidfile
+		from signal import SIGTERM
+		pid_path = "tra-daemon.pid"
+		if len(sys.argv) == 2:
+			if 'start' == sys.argv[1]:
+				start(pid_path, False, False, False)
+			elif 'stop' == sys.argv[1]:
+				stop(pid_path)
+			elif 'restart' == sys.argv[1]:
+				restart(pid_path)
+			elif 'verbose' == sys.argv[1]:
+				start(None, True, False, False)
+			elif 'profile' == sys.argv[1]:
+				start(None, False, True, False)
+			elif 'debug' == sys.argv[1]:
+				start(None, False, False, 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)

src/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/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/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()

submit-debug.sh

@@ -0,0 +1,12 @@
+#!/bin/bash
+#
+#SBATCH --job-name=tra-superscript
+#SBATCH --output=slurm-tra-superscript.out
+#SBATCH --ntasks=8
+#SBATCH --time=24:00:00
+#SBATCH --mem-per-cpu=256
+#SBATCH --mail-user=dsingh@imsa.edu
+#SBATCH -p cpu-long
+
+cd competition
+python superscript.py debug

submit-prod.sh

@@ -0,0 +1,12 @@
+#!/bin/bash
+#
+#SBATCH --job-name=tra-superscript
+#SBATCH --output=PROD_slurm-tra-superscript.out
+#SBATCH --ntasks=8
+#SBATCH --time=24:00:00
+#SBATCH --mem-per-cpu=256
+#SBATCH --mail-user=dsingh@imsa.edu
+#SBATCH -p cpu-long
+
+cd competition
+python superscript.py verbose