1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
|
import os
import csv
from watch_log import get_date
import datetime
import time_operations as to
def extract_data(date):
user = os.getlogin()
path = "/home/" + user +"/.cache/Watcher/raw_data/"
filename = path + date + ".csv"
l = list() # l = list of (app_name, time spent on app on that session)
d = dict()
if os.path.isfile(filename):
with open(filename, 'r') as file:
reader = csv.reader(file)
for row in reader:
for column in row:
l.append([column[18::],column[9:17]])
d.update({column[18::]: "O"})
else:
None
d = list(d) # list of app opened on that day
return d, l
# creating dictionary to store time spend on each applicaitons on that particular day
def final_report(window_opened, time_spent):
report = dict()
for i in window_opened: # i is applications name
time = '00:00:00'
for j in time_spent: # j is list of applicaions_name and time_spent in particular session
if i == j[0]:
time = to.time_addition(j[1], time)
report.update({i:time})
#print(report)
if "User-logged-in" in report.keys():
report.pop("User-logged-in")
if "AFK" in report.keys():
report.pop("AFK")
if "Unknown" in report.keys():
report.pop("Unknown")
# sort report dictonary in decreasing order of Usages
sorted_values = []
for x,y in report.items():
sorted_values.append(to.convert_into_sec(y))
sorted_values.sort(reverse=True)
sorted_report = dict()
for i in sorted_values:
for x, y in report.items():
if to.convert_into_sec(y) == i:
sorted_report.update({x:y})
return sorted_report
# getting dates of the week for week summary
def get_dates():
theday = datetime.date.today()
weekday = theday.isoweekday() - 1
# The start of the week
start = theday - datetime.timedelta(days=weekday)
# build a simple range
dates = [start + datetime.timedelta(days=d) for d in range(weekday + 1)]
dates = [str(d) for d in dates]
return dates
def weekday_from_date(date):
day = os.popen('''date -d "'''+ date + '''" +%a''').read()
return day[0:-1]
def weeklly_logs():
W_Y = os.popen('''date +"W%V-%Y"''').read()[0:-1]
user = os.getlogin()
filename = "/home/"+user+"/.cache/Watcher/Analysis/"+W_Y+".csv"
with open(filename, "w") as csvfile:
csvwriter = csv.writer(csvfile, delimiter='\t')
#csvwriter.writerow(["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"])
dates = get_dates()
window_opened = list()
time_spent = list()
for i in dates:
window_opened, time_spent = extract_data(i)
Total_screen_time = "00:00:00"
for x, y in final_report(window_opened, time_spent).items():
Total_screen_time = to.time_addition(y, Total_screen_time)
csvwriter.writerow([weekday_from_date(i), Total_screen_time])
for i in dates:
x, y = extract_data(str(i))
window_opened += x
time_spent += y
for x, y in final_report(window_opened, time_spent).items():
csvwriter.writerow([y, x])
|
