appeased pylint in config.py attr lookup

added basic progress bars for each module

.devcontainer/Dockerfile

@@ -1,7 +1,6 @@
-FROM ubuntu:20.04
+FROM python:slim
 WORKDIR /
-RUN apt-get -y update
+RUN apt-get -y update; apt-get -y upgrade
-RUN DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata
+RUN apt-get -y install git binutils
-RUN apt-get install -y python3 python3-dev git python3-pip python3-kivy python-is-python3 libgl1-mesa-dev build-essential
+COPY requirements.txt .
-RUN ln -s $(which pip3) /usr/bin/pip
+RUN pip install -r requirements.txt
-RUN pip install pymongo pandas numpy scipy scikit-learn matplotlib pylint kivy

.devcontainer/dev-dockerfile

@@ -1,2 +0,0 @@
-FROM titanscout2022/tra-analysis-base:latest
-WORKDIR /

.devcontainer/devcontainer.json

@@ -1,28 +1,23 @@
 {
     "name": "TRA Analysis Development Environment",
     "build": {
-		"dockerfile": "dev-dockerfile",
+		"dockerfile": "Dockerfile",
     },
     "settings": { 
 		"terminal.integrated.shell.linux": "/bin/bash",
 		"python.pythonPath": "/usr/local/bin/python",
 		"python.linting.enabled": true,
 		"python.linting.pylintEnabled": true,
-		"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
+		"python.linting.pylintPath": "/usr/local/bin/pylint",
-		"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
+		"python.linting.pylintArgs": ["--indent-string", "\t"],
-		"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
+		"python.testing.pytestPath": "/usr/local/bin/pytest",
-		"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
+    	"editor.tabSize": 4,
-		"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
+    	"editor.insertSpaces": false
-		"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"
 	},
 	"extensions": [
 		"mhutchie.git-graph",
 		"ms-python.python",
 		"waderyan.gitblame"
 	],
-		"postCreateCommand": "/usr/bin/pip3 install -r ${containerWorkspaceFolder}/src/requirements.txt && /usr/bin/pip3 install --no-cache-dir pylint && /usr/bin/pip3 install pytest"
+		"postCreateCommand": ""
 	}

.devcontainer/requirements.txt

@@ -1,18 +1,13 @@
-requests
+cerberus
-pymongo
-pandas
-tra-analysis
-
 dnspython
-pyinstaller
-requests
-pymongo
-
 numpy
-scipy
+pyinstaller
-scikit-learn
+pylint
-six
+pymongo
 pyparsing
-pandas
+pytest
-
+requests
-kivy==2.0.0rc2
+scikit-learn
+scipy
+six
+tra-analysis

.github/workflows/build-cli.yml

@@ -1,7 +1,7 @@
 # This workflow will install Python dependencies, run tests and lint with a variety of Python versions
 # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
 
-name: Superscript Unit Tests
+name: Build Superscript Linux
 
 on:
   release:
@@ -11,7 +11,25 @@ jobs:
   generate:
     name: Build Linux
     runs-on: ubuntu-latest
-
     steps: 
       - name: Checkout master
         uses: actions/checkout@master
+      - name: Install Dependencies
+        run: pip install -r requirements.txt
+        working-directory: src/
+      - name: Give Execute Permission
+        run: chmod +x build-CLI.sh
+        working-directory: build/
+      - name: Build Binary
+        run: ./build-CLI.sh
+        working-directory: build/
+      - name: Copy Binary to Root Dir
+        run: cp superscript ..
+        working-directory: dist/
+      - name: Upload Release Asset
+        uses: svenstaro/upload-release-action@v2
+        with:
+          repo_token: ${{ secrets.GITHUB_TOKEN }}
+          file: superscript
+          asset_name: superscript
+          tag: ${{ github.ref }}

.gitignore

@@ -9,6 +9,10 @@
 **/tra_analysis/
 **/temp/*
 
+**/*.pid
+
+**/profile.*
+
+**/*.log
 **/errorlog.txt
-/dist/superscript.*
+/dist/*
-/dist/superscript

README.md

@@ -1,4 +1,4 @@
-# Red Alliance Analysis · ![GitHub release (latest by date)](https://img.shields.io/github/v/release/titanscout2022/tra-superscript)
+# Red Alliance Analysis · ![GitHub release (latest by date)](https://img.shields.io/github/v/release/titanscout2022/red-alliance-analysis)
 
 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.
 

build/build-CLI.bat

@@ -1,5 +1,5 @@
-set pathtospec="../src/superscript.spec"
+set pathtospec="superscript.spec"
 set pathtodist="../dist/"
 set pathtowork="temp/"
 
-pyinstaller --onefile --clean --distpath %pathtodist% --workpath %pathtowork% %pathtospec%
+pyinstaller --clean --distpath %pathtodist% --workpath %pathtowork% %pathtospec%

build/build-CLI.sh

@@ -1,5 +1,5 @@
-pathtospec="../src/superscript.spec"
+pathtospec="superscript.spec"
 pathtodist="../dist/"
 pathtowork="temp/"
 
-pyinstaller --onefile --clean --distpath ${pathtodist} --workpath ${pathtowork} ${pathtospec}
+pyinstaller --clean --distpath ${pathtodist} --workpath ${pathtowork} ${pathtospec}

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/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

@@ -1,123 +1,56 @@
 import requests
-import pymongo
 import pandas as pd
-import time
+import pymongo
+from exceptions import APIError
 
-def pull_new_tba_matches(apikey, competition, cutoff):
+class Client:
-	api_key= apikey 
+
-	x=requests.get("https://www.thebluealliance.com/api/v3/event/"+competition+"/matches/simple", headers={"X-TBA-Auth_Key":api_key})
+	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 x.json():
+		for i in json:
-		if i["actual_time"] != None and i["actual_time"]-cutoff >= 0 and i["comp_level"] == "qm":
+			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(apikey, competition, team_num):
+	def get_team_match_data(self, team_num):
-	client = pymongo.MongoClient(apikey)
+		client = self.mongoclient
+		competition = self.competition
 		db = client.data_scouting
 		mdata = db.matchdata
 		out = {}
-	for i in mdata.find({"competition" : competition, "team_scouted": team_num}):
+		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(apikey, competition, team_num):
+	def get_team_metrics_data(self, team_num):
-	client = pymongo.MongoClient(apikey)
+		client = self.mongoclient
-	db = client.data_scouting
+		competition = self.competition
-	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):
+	def get_team_pit_data(self, team_num):
-	client = pymongo.MongoClient(apikey)
+		client = self.mongoclient
+		competition = self.competition
 		db = client.data_scouting
-	mdata = db.teamlist
+		mdata = db.pitdata
-	x=mdata.find_one({"competition":competition})
+		return mdata.find_one({"competition" : competition, "team_scouted": str(team_num)})["data"]
-	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):
+	def unkeyify_2l(self, layered_dict):
-	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 = []
@@ -127,3 +60,239 @@ def unkeyify_2l(layered_dict):
 			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/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/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/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/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/module.py

@@ -0,0 +1,313 @@
+import abc
+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, *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
+	timestamp = None
+	client = None
+
+	data = None
+	results = None
+	
+	def __init__(self, config, timestamp, client):
+		self.config = config
+		self.timestamp = timestamp
+		self.client = client
+
+	def validate_config(self):
+		return True, ""
+
+	def run(self):
+		self._load_data()
+		self._process_data()
+		self._push_results()
+
+	def _load_data(self):
+		self.data = self.client.load_match()
+
+	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 tqdm(data, desc = "Match Module ", unit = " team"):
+
+			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
+
+		self.client.push_match(self.results)
+
+class Metric (Module):
+
+	config = None
+	timestamp = None
+	client = None
+
+	data = None
+	results = None
+	
+	def __init__(self, config, timestamp, client):
+		self.config = config
+		self.timestamp = timestamp
+		self.client = client
+
+	def validate_config(self):
+		return True, ""
+
+	def run(self):
+		self._load_data()
+		self._process_data()
+		self._push_results()
+
+	def _load_data(self):
+		self.data = self.client.pull_new_tba_matches(self.timestamp)
+
+	def _process_data(self):
+
+		self.results = {}
+
+		elo_N = self.config["tests"]["elo"]["N"]
+		elo_K = self.config["tests"]["elo"]["K"]
+
+		matches = self.data
+
+		red = {}
+		blu = {}
+
+		for match in tqdm(matches, desc = "Metric Module ", unit = " match"):
+
+			red = self.client.load_metric(match, "red", self.config["tests"])
+			blu = self.client.load_metric(match, "blue", self.config["tests"])
+	
+			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)
+
+			self.results[match['match']] = temp_vector
+
+			self.client.push_metric(temp_vector)
+
+	def _push_results(self):
+		pass
+
+class Pit (Module):
+
+	config = None
+	timestamp = None
+	client = None
+
+	data = None
+	results = None
+	
+	def __init__(self, config, timestamp, client):
+		self.config = config
+		self.timestamp = timestamp
+		self.client = client
+	
+	def validate_config(self):
+		return True, ""
+
+	def run(self):
+		self._load_data()
+		self._process_data()
+		self._push_results()
+
+	def _load_data(self):
+		self.data = self.client.load_pit()
+
+	def _process_data(self):
+		tests = self.config["tests"]
+		return_vector = {}
+		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:
+						return_vector[variable] = []
+					return_vector[variable].append(self.data[team][variable])
+
+		self.results = return_vector
+
+	def _push_results(self):
+		self.client.push_pit(self.results)
+
+class Rating (Module):
+	pass
+
+class Heatmap (Module):
+	pass
+
+class Sentiment (Module):
+	pass

src/superscript.py

@@ -3,10 +3,42 @@
 # Notes:
 # setup:
 
-__version__ = "0.8.6"
+__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
+		- removed daemon and socket functionality, user can implement using external software
+		- 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:
@@ -114,514 +146,157 @@ __author__ = (
 	"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 argparse, sys, time, traceback, warnings
-import data as d
+from config import Configuration, ConfigurationError
-from collections import defaultdict
+from data import Client
-import json
+from interface import Logger
-import math
+from module import Match, Metric, Pit
-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(logger, verbose, profile, debug, config_path):
 
-def main():
+	def close_all():
-
+		if "client" in locals():
-	global exec_threads
+			client.close()
-
-	sys.stderr = open("errorlog.txt", "w")
 
 	warnings.filterwarnings("ignore")
 
-	splash()
+	logger.splash(__version__)
 
-	while (True):
+	modules = {"match": Match, "metric": Metric, "pit": Pit}
+
+	while True:
 
 		try:
 
-			current_time = time.time()
+			loop_start = time.time()
-			print("[OK] time: " + str(current_time))
 
-			config = load_config("config.json")
+			logger.info("current time: " + str(loop_start))
-			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")
+			config = Configuration(config_path)
-			cfg_max_threads = config["max-threads"]
+			
-			sys_max_threads = os.cpu_count()
+			logger.info("found and loaded config at <" + config_path + ">")
-			if cfg_max_threads > -sys_max_threads and cfg_max_threads < 0 :
+
-				alloc_processes = sys_max_threads + cfg_max_threads
+			client = Client(config)
-			elif cfg_max_threads > 0 and cfg_max_threads < 1:
+
-				alloc_processes = math.floor(cfg_max_threads * sys_max_threads)
+			logger.info("established connection to database")
-			elif cfg_max_threads > 1 and cfg_max_threads <= sys_max_threads:
+
-				alloc_processes = cfg_max_threads
+			previous_time = client.get_previous_time()
-			elif cfg_max_threads == 0:
+
-				alloc_processes = sys_max_threads
+			logger.info("analysis backtimed to: " + str(previous_time))
+
+			config.resolve_config_conflicts(logger, client)
+
+			config_modules, competition = config.modules, config.competition
+
+			client.competition = competition
+
+			for m in config_modules:
+				if m in modules:
+					start = time.time()
+					current_module = modules[m](config_modules[m], previous_time, client)
+					valid = current_module.validate_config()
+					if not valid:
+						continue
+					current_module.run()
+					logger.info(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
+
+			client.set_current_time(loop_start)
+			close_all()
+
+			logger.info("closed threads and database client")
+			logger.info("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")
+				new_match = False
+				while not new_match:
+					time.sleep(1)
+					new_match = client.check_new_database_matches()
+				logger.info("database returned new matches")
 			else:
-				print("[ERROR] Invalid number of processes, must be between -" + str(sys_max_threads) + " and " + str(sys_max_threads))
+				loop_delay = float(config["variable"]["loop-delay"])
-				exit()
+				remaining_time = loop_delay - (time.time() - loop_start)
-			exec_threads = Pool(processes = alloc_processes)
+				if remaining_time > 0:
-			print("[OK] " + str(alloc_processes) + " threads started")
+					logger.info("loop delayed by " + str(remaining_time) + " seconds")
-
+					time.sleep(remaining_time)
-			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")
+			close_all()
-			exec_threads.terminate()
+			logger.info("detected KeyboardInterrupt, exiting")
-			print("[OK] processes killed, exiting")
+			return 0
-			exit()
 
-		else:
+		except ConfigurationError as e:
-			pass
+			str_e = "".join(traceback.format_exception(e))
+			logger.error("encountered a configuration error: " + str(e))
+			logger.error(str_e)
+			close_all()
+			return 1
 
-		#clear()
+		except Exception as e:
+			str_e = "".join(traceback.format_exception(e))
+			logger.error("encountered an exception while running")
+			logger.error(str_e)
+			close_all()
+			return 1
 
-def clear(): 
+def start(verbose, profile, debug, config_path, log_path):
 
-	# for windows 
+	logger = Logger(verbose, profile, debug, file = log_path)
-	if name == 'nt': 
-		_ = system('cls') 
 
-	# for mac and linux(here, os.name is 'posix') 
+	if profile:
-	else: 
-		_ = system('clear')
 
-def print_hrule():
+		import cProfile, pstats, io
+		profile = cProfile.Profile()
+		profile.enable()
+		exit_code = main(logger, verbose, profile, debug, config_path)
+		profile.disable()
+		f = open("profile.txt", "w+")
+		ps = pstats.Stats(profile, stream = f).sort_stats("cumtime")
+		ps.print_stats()
+		sys.exit(exit_code)
 
-	print("#"+38*"-"+"#")
+	elif verbose:
 
-def print_box(s):
+		exit_code = main(logger, verbose, profile, debug, config_path)
+		sys.exit(exit_code)
 
-	temp = "|"
+	elif debug:
-	temp += s
-	temp += (40-len(s)-2)*" "
-	temp += "|"
-	print(temp)
 
-def splash():
+		exit_code = main(logger, verbose, profile, debug, config_path)
-
+		sys.exit(exit_code)
-	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"]
+		pass # must be vebose, debug or profile
-
-	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()
+	parser = argparse.ArgumentParser(description = "TRA data processing application.")
-	main()
+	parser.add_argument("mode", metavar = "MODE", type = str, nargs = 1, choices = ["verbose", "profile", "debug"], help = "verbose, debug, profile")
+	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")
+
+	args = parser.parse_args()
+
+	mode = args.mode[0]
+	config_path = args.config
+	log_path = args.logfile
+	if mode == "verbose":
+		start(True, False, False, config_path = config_path, log_path = log_path)
+	elif mode == "profile":
+		start(False, True, False, config_path = config_path, log_path = log_path)
+	elif mode == "debug":
+		start(False, False, True, config_path = config_path, log_path = log_path)
+	
+	exit(0)

src/superscript.spec

@@ -1,37 +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=[],
-             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 )

test/test_zmq.py

@@ -0,0 +1,14 @@
+import signal
+import zmq
+
+signal.signal(signal.SIGINT, signal.SIG_DFL)
+
+context = zmq.Context()
+
+socket = context.socket(zmq.SUB)
+socket.connect('tcp://localhost:5678')
+socket.setsockopt(zmq.SUBSCRIBE, b'status')
+
+while True:
+    message = socket.recv_multipart()
+    print(f'Received: {message}')