project/analyzers/render/wip.py

87 lines
2.2 KiB
Python

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()