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Analyze discord usage
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import json | |
import csv | |
from datetime import date | |
import numpy as np | |
from glob import glob | |
from matplotlib import pyplot as plt | |
join_date = date(2017, 8, 3) | |
path_to_package_directory = "/Users/kskrueger/PycharmProjects/DiscordLearning/Personal/package-2/" | |
class Conversation: | |
def __init__(self, folderpath): | |
self.messages = [] | |
with open(folderpath + '/messages.csv', encoding="utf8") as csv_file: | |
csv_reader = csv.reader(csv_file, delimiter=',') | |
for row in csv_reader: | |
# Format: ID,Timestamp,Contents,Attachments | |
self.messages.append(row) | |
if len(self.messages) < 1: | |
raise Exception("Empty file provided!") | |
self.messages.pop(0) | |
self.length = len(self.messages) | |
self.words = 0 | |
for message in self.messages: | |
self.words = self.words + len(str(message).split()) | |
def get_date_distribution(self): | |
messages_dates = np.zeros((date.today() - join_date).days, np.int) | |
for _, time, message, _ in self.messages: | |
message_date = date(int(time[:4]), int(time[5:7]), int(time[8:10])) | |
days = (message_date - join_date).days | |
messages_dates[days] = messages_dates[days] + 1 | |
return messages_dates | |
with open(path_to_package_directory + 'messages/index.json', encoding="utf8") as json_data: | |
name_map = json.load(json_data) | |
json_data.close() | |
conversations = {} | |
all_running_total = np.zeros((date.today() - join_date).days, np.int) | |
total_words = 0 | |
for x in glob(path_to_package_directory + 'messages/*/'): | |
a = conversations[str(x[-19:-1])] = Conversation(x).get_date_distribution() | |
total_words += Conversation(x).words | |
all_running_total = all_running_total + a | |
# Plot function is used by others to plot all conversations in a plot_list variable | |
# total=False will plot the rate per day istead of running_total of messages | |
def plot(plot_list, total=True): | |
if len(plot_list) < 1: | |
print("Invalid list to plot") | |
return | |
plt.figure() | |
legend_names = [] | |
for id, value in plot_list.items(): | |
if id in name_map.keys(): | |
name = str(name_map[id]) | |
else: | |
name = id | |
if 'with' in name: | |
name = name[name.index('with') + 5:] | |
legend_names.append(name) | |
messages_day = [0] | |
for x in value: | |
messages_day.append(x + messages_day[-1] if total else x) | |
plt.plot(range(0, len(messages_day) - 1), messages_day[:-1]) | |
plt.title("Activity by total") | |
plt.xlabel("Days since joining discord") | |
plt.ylabel("Total Messages") | |
plt.legend(list(legend_names)) | |
plt.show() | |
# Plot only conversations that are over a certain threshold of messages (ex: plot_thresh(1000)) | |
def plot_thresh(thresh, total=True): | |
plot_list = {} | |
for k, v in conversations.items(): | |
if sum(v) > thresh: | |
plot_list[k] = v | |
plot(plot_list, total) | |
# Plot only conversations of target usernames/channels | |
# (this is a rough matching for username/channel name and could break for duplicates?) | |
# ex: plot_names(['Karter', 'general-robotics', 'Ilan 9421#0431']) | |
def plot_names(names_in, total=True): | |
plot_list = {} | |
id_list = None | |
for name_in in names_in: | |
for id, name in name_map.items(): | |
if str(name_in) in str(name): | |
id_list = id | |
for k, v in conversations.items(): | |
if str(id_list) == str(k): | |
plot_list[k] = v | |
plot(plot_list, total) | |
# Plot a running total of all messages sent | |
plot({'ALL HISTORY': all_running_total}) | |
# Plot daily rate graph (by adding total=False) | |
plot({'ALL HISTORY': all_running_total}, total=False) | |
# Examples | |
plot_thresh(3000) # plot all conversations over 3000 message threshold | |
plot_names(['general-robotics', 'Karter']) # plot these conversations | |
# Scary statistics of days without discord and words sent | |
days = 0 | |
for day_total in all_running_total: | |
if day_total < 1: | |
days = days + 1 | |
print("Days without going on discord: " + str(days)) | |
print("Total words sent on discord: " + str(total_words)) |
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