DeaddictPy/data.py at master · plaidbait91/DeaddictPy · GitHub

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import json
import matplotlib.pyplot as plt
import sys
# import datetime
import csv


# Your existing code goes here


# def getTime(time):
#     hour = datetime.datetime.fromtimestamp(time/1000.0).hour
#     if 5 <= hour and hour < 11:
#         return 0
#     elif 11 <= hour and hour < 16:
#         return 1
#     elif 16 <= hour and hour < 21:
#         return 2
#     else:
#         return 3

def listToXY(series):
    # start = series[0] // 60000
    start = 0
    s_dict = dict()

    for t in series:
        t_val = t // 60000 - start
        s_dict[t_val] = s_dict.get(t_val, 0) + 1


    x = list(s_dict.keys())
    x.sort()
    f = {i: s_dict[i] for i in x}
    y = list(f.values())

    return (f, x, y)


f = open("data1.json", "r")
data = f.read()

data1 = json.loads(data)

f = open("data1.json", "r")
data = f.read()

data2 = json.loads(data)

def getEvents(datas, types, range = []):
    result = list()

    for data in datas:
        for t in types:
            result += list(data.get(sys.argv[1], dict()).get("events", dict()).get(sys.argv[2], dict()).get(t, dict()).values())

    if len(range) > 0:

        if range[0] == -1:
            range[0] = min(result)

        if range[1] == -1:
            range[1] = max(result)

        result = [r for r in result if r >= range[0] and r <= range[1]]

    return result

def getTopApps(user = sys.argv[1]):
    app_dict = dict()
    data = [data1, data2]

    for d in data:
        for app_k, app_v in d[user]["events"].items():
            for type_k, type_v in app_v.items():
                for event in type_v:
                    app_dict[app_k] = app_dict.get(app_k, 0) + 1

    app_dict = {k: v for k, v in sorted(app_dict.items(), key=lambda item: item[1], reverse=True)}
    return app_dict

def getTopEvents(user = sys.argv[1]):
    app_dict = dict()
    data = [data1, data2]

    for d in data:
        for app_k, app_v in d[user]["events"].items():
            for type_k, type_v in app_v.items():
                for event in type_v:
                    app_dict[type_k] = app_dict.get(type_k, 0) + 1

    app_dict = {k: v for k, v in sorted(app_dict.items(), key=lambda item: item[1], reverse=True)}
    return app_dict

# launches = getEvents([data1, data2], ["Launched", "Notif clicked"])
# scrolls = getEvents([data1, data2], ["Scrolled"])
# clicks = getEvents([data1, data2], ["Clicked"])
# notifs = getEvents([data1, data2], ["Notif received"])


# # axes = plt.subplot()
# # axes.set_xticks([0, 1, 2, 3])
# # axes.set_xticklabels(["Morning", "Afternoon", "Evening", "Night"])

# f1, x1, y1 = listToXY(notifs)
# f2, x2, y2 = listToXY(clicks)
# print(len(x1), len(x2))
# y1 = [250 for y in y1]
# # print(x1)

# t = 0
# result = dict()

# while t < len(x1):

#     for i in range(15):
#         result[x1[t]] = result.get(x1[t], 0) + f2.get(x1[t] + i, 0)

#     t = t + 1

# X = list(result.keys())
# Y = list(result.values())

# plt.bar(x1, y1, color = "yellow", width=20)
# # plt.bar(x2, y2, color = "blue", width=1)
# plt.plot(x2, y2, color = "blue", marker = 'o')
# plt.plot(X, Y, color = "red", marker = 'o')
# # plt.scatter(x1, y1)
# plt.show()
print(getTopApps())
print(getTopEvents())

def write_to_csv(data, filename):
    with open(filename, 'w', newline='') as csvfile:
        writer = csv.writer(csvfile)
        writer.writerow(['App', 'Count'])
        for app, count in data.items():
            writer.writerow([app, count])

top_apps = getTopApps()
write_to_csv(top_apps, 'top_apps_user.csv')

top_events = getTopEvents()
write_to_csv(top_events, 'top_events_user.csv')