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import os
import csv
from watch_log import get_date
import datetime
import time_operations as to
# creating dictionary to store time spend on each applicaitons on that particular day
def final_report(date):
path = "/home/" + os.getlogin() +"/.cache/Watcher/daily_data/"
filename = path + date + ".csv"
report = dict()
if os.path.isfile(filename):
with open(filename, 'r') as f:
raw_data = f.readlines()
for x in raw_data:
x = x.split('\t')
a = {x[1][:-1]:x[0]}
report.update(a)
#print(report)
if "Unknown" in report.keys():
report.pop("Unknown")
return report
def sort_data(report):
# 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})
del report
del sorted_values
return sorted_report
def get_sunday_of_week(week):
year = int(week[4:])
week = int(week[1:3])
first = datetime.date(year, 1, 1)
base = 1 if first.isocalendar()[1] == 1 else 8
return first + datetime.timedelta(days=base - first.isocalendar()[2] + 7 * (week - 1)) + datetime.timedelta(days=6.9)
# getting dates of particular week for week summary
def week_dates(theday=datetime.date.today()):
weekday = theday.isoweekday() - 1
# The start of the week (Monday)
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 weekly_logs(week = str(os.popen('''date +"W%V-%Y"''').read()[0:-1])):
user = os.getlogin()
filename = "/home/"+user+"/.cache/Watcher/Analysis/"+week+".csv"
with open(filename, "w") as csvfile:
csvwriter = csv.writer(csvfile, delimiter='\t')
if os.popen('''date +"W%V-%Y"''').read()[0:-1] == week:
dates = week_dates()
else:
dates = week_dates(get_sunday_of_week(week))
for i in dates:
Total_screen_time = "00:00:00"
for x, y in final_report(i).items():
Total_screen_time = to.time_addition(y, Total_screen_time)
csvwriter.writerow([weekday_from_date(i), Total_screen_time])
all_data = dict()
for i in dates:
for x, y in final_report(i).items():
usage = all_data.get(x)
if usage == None:
usage = "00:00:00"
y = to.time_addition(usage, y)
all_data.update({x:y})
all_data = sort_data(all_data)
for x, y in all_data.items():
csvwriter.writerow([y, x])
#testing
if __name__ == "__main__":
weekly_logs("W29-2022")
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