def time_distribution(store):
	# json.dump(store.serializable(), open("new.json", "w"), indent=1)
	from collections import defaultdict
	import json
	import numpy as np

	keys = [
		"simu",
		"question",
		"image",
		"audio",
		"video",
		"other",
		"map"
	]
	import matplotlib.pyplot as plt

	# results = []

	places = defaultdict(list)

	for log in store.get_all():
		result = defaultdict(lambda: 0)
		for i in log.get()['track']:
			duration = i['properties']['end_timestamp'] - i['properties']['start_timestamp']
			result[i['properties']['activity_type']] += duration
		print(json.dumps(result, indent=4))
		total = sum(result.values())
		print(total)
		percentage = defaultdict(lambda: 0)
		minutes = defaultdict(lambda: 0)
		for i in result:
			percentage[i] = result[i] / total
			minutes[i] = result[i] / 60_000
		print(json.dumps(percentage, indent=4))
		if not 'error' in result:
			# places[log.get()['instance']].append(percentage)
			places[log.get()['instance']].append(minutes)

	for place in places:
		places[place] = sorted(places[place], key=lambda item: item['map'])

	dummy = [0] * len(keys)
	results = []
	sites = []
	from util.meta_temp import CONFIG_NAMES

	for i in places:
		for j in places[i]:
			ordered = []
			for k in keys:
				ordered.append(j[k])
			results.append(ordered)
		results.append(dummy)
		sites.append(CONFIG_NAMES[i] if i in CONFIG_NAMES else "---")

	size = len(results)
	ind = np.arange(size)
	width = 0.9
	print(results)
	data = list(zip(*results))
	print(data)
	lines = []
	bottom = [0] * len(results)
	for i in range(0, len(data)):
		lines.append(plt.bar(ind, data[i], bottom=bottom, width=width)[0])
		for k, x in enumerate(data[i]):
			bottom[k] += x
	plt.legend(lines, keys)
	plt.title(", ".join(sites))
	plt.show()

	# size = len(results)
	# ind = np.arange(size)
	# width = 0.9
	# print(results)
	# data = list(zip(*results))
	# print(data)
	# lines = []
	# bottom = [0] * len(results)
	# for i in range(0, len(data)):
	#	lines.append(plt.bar(ind, data[i], bottom=bottom, width=width)[0])
	#	for k, x in enumerate(data[i]):
	#		bottom[k] += x
	# plt.legend(lines, keys)
	# plt.title("Zwei Spiele in Filderstadt (t1=237min; t2=67min)")
	# plt.show()