remove test.py

test.py

-from dbhandler import *
-from datetime import datetime, timedelta
-import matplotlib.pyplot as plt
-import numpy as np
-
-db = DBHandler('data/activity_data.db')
-
-today = datetime.today()
-
-data = db.read_week_data(date=today)
-start = today - timedelta(days=today.weekday())
-
-weekly_sum = np.zeros(7)
-daily_sum = np.zeros(24)
-app_time = dict()
-
-week_ind = np.arange(7)
-
-for entry in data:
-    timestamp = datetime.fromtimestamp(entry[0]) 
-    currdate = timestamp.date()
-    day = currdate.weekday()
-    if currdate == today.date():
-        daily_sum[timestamp.hour] += entry[2]
-        if entry[1] in app_time:
-            app_time[entry[1]] += entry[2]
-        else: 
-            app_time[entry[1]] = entry[2] 
-    weekly_sum[day] += entry[2]
-
-print(weekly_sum)
-max = np.max(weekly_sum)
-print(max)
-time_format = "min"
-
-app_time = dict(sorted(app_time.items(), key=lambda x:x[1],reverse=True))
-max_app_time = list(app_time.items())[0][1]
-print(max_app_time)
-
-
-if max > 60*60:
-    time_format = "hr"
-    weekly_sum /= 3600
-else:
-    weekly_sum /= 60
-
-print(daily_sum)
-
-figure1 = plt.Figure(figsize=(6, 5), dpi=100)
-ax1 = figure1.add_subplot(111)
-#bar1 = FigureCanvasTkAgg(figure1, root)
-#bar1.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
-ax1.bar(week_day, weekly_sum, width = 0.35)
- 
-ax1.set_xlabel("Week Days")
-ax1.set_ylabel(f"Total Screen Time in {time_format}")
-ax1.set_title("Total daily screen time in a week")
-figure1.savefig('weekly.png')
-
-figure2 = plt.Figure(figsize=(6, 5), dpi=100)
-ax2 = figure2.add_subplot(111)
-#bar1 = FigureCanvasTkAgg(figure1, root)
-#bar1.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
-ax2.bar(np.arange(24), daily_sum, width = 0.35)
- 
-ax2.set_xlabel("Hour of the day")
-ax2.set_ylabel(f"Total Screen Time in sec")
-ax2.set_title("Total hourly screen time in a day")
-figure2.savefig('daily.png')
-
-
-
-figure3 = plt.Figure(figsize=(6, 5), dpi=100)
-ax3 = figure3.add_subplot(111)
-#bar1 = FigureCanvasTkAgg(figure1, root)
-#bar1.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
-print(list(app_time.keys()))
-print(list(app_time.values()))
-
-ax3.barh(list(app_time.keys())[::-1], list(app_time.values())[::-1])
- 
-ax3.set_xlabel("Time spent on the application")
-ax3.set_ylabel("Applications")
-ax3.set_title("Activity per Application")
-figure3.savefig('perapp.png')
-
-
-
-
-
-
-exit()
-
-
-
-
-
-
-app_set = set()
-for entry in data:
-    if entry[1] not in app_set:
-        app_set.add(entry[1])
-
-week_data = np.zeros(len(app_set), 8)
-
-
-week_data = week_data.sort(key=lambda item: item[7], reverse = True)
-
-ind = np.arange(7)
-width = 0.35 
-
-fig = plt.subplots(figsize =(10, 7))
-
-prev_sum = np.zeros(0,7)
-
-for i in len(week_data):
-    plt.bar(ind, week_data[i][0:7], width, bottom = prev_sum)
-    prev_sum += week_data[i][0:7]
-    
-plt.ylabel('Screen Time')
-plt.title('Dates')
-plt.xticks(ind, )
-plt.yticks(np.arange(0, 81, 10))
-plt.legend((p1[0], p2[0]), ('boys', 'girls'))
- 
-plt.show()
-
-plt.plot([0,1,2], [2,3,4])
-plt.legend()
\ No newline at end of file