Update 1.2 | AFK feature | New algorithm to update log file at each second

1 files changed, 98 insertions, 0 deletions

diff --git a/src/Watcher/analysis.py b/src/Watcher/analysis.py
new file mode 100755
index 0000000..7a96b60
--- /dev/null
+++ b/src/Watcher/analysis.py
@@ -0,0 +1,98 @@
+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")
+    # 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])
+