tra-analysis/data-analysis/tra.py

import json
import superscript as su
import threading

__author__ = (
	"Arthur Lu <learthurgo@gmail.com>",
)

match = False
metric = False
pit = False

match_enable = True
metric_enable = True
pit_enable = True

config = {}

def main():

	global match
	global metric
	global pit

	global match_enable
	global metric_enable
	global pit_enable

	global config
	config = su.load_config("config.json")

	while(True):

		if match_enable == True and match == False:

			def target():

				apikey = config["key"]["database"]
				competition = config["competition"]
				tests = config["statistics"]["match"]

				data = su.load_match(apikey, competition)
				su.matchloop(apikey, competition, data, tests)

				match = False
				return

			match = True
			task = threading.Thread(name = "match", target=target)
			task.start()

		if metric_enable == True and metric == False:
			
			def target():

				apikey = config["key"]["database"]
				tbakey = config["key"]["tba"]
				competition = config["competition"]
				metric = config["statistics"]["metric"]

				timestamp = su.get_previous_time(apikey)

				su.metricloop(tbakey, apikey, competition, timestamp, metric)

				metric = False
				return

			match = True
			task = threading.Thread(name = "metric", target=target)
			task.start()

		if pit_enable == True and pit == False:

			def target():

				apikey = config["key"]["database"]
				competition = config["competition"]
				tests = config["statistics"]["pit"]

				data = su.load_pit(apikey, competition)
				su.pitloop(apikey, competition, data, tests)

				pit = False
				return

			pit = True
			task = threading.Thread(name = "pit", target=target)
			task.start()
			
task = threading.Thread(name = "main", target=main)
task.start()