From 9f15f7bc845b202d79dcc351cf0681b81b3b02d6 Mon Sep 17 00:00:00 2001
From: Hykilpikonna <me@hydev.org>
Date: Tue, 2 Nov 2021 18:45:04 -0400
Subject: [PATCH] [-] Remove unused code

---
 telegram-history-analysis/telegram-history.py | 28 -------------------
 1 file changed, 28 deletions(-)

diff --git a/telegram-history-analysis/telegram-history.py b/telegram-history-analysis/telegram-history.py
index bc059af..a020f3d 100644
--- a/telegram-history-analysis/telegram-history.py
+++ b/telegram-history-analysis/telegram-history.py
@@ -2,52 +2,24 @@ import json
 from datetime import datetime, timedelta
 
 import matplotlib.pyplot as plt
-import matplotlib.dates as mdates
 
 if __name__ == '__main__':
-    # file = "~/Downloads/Telegram Desktop/ChatExport_2021-11-02 (1)/result.json"
     file = "./result-full.json"
-    # start = datetime(2021, 11, 1, 12, 1, 1)
-    # end = datetime(2021, 11, 2, 16, 1, 1)
     start = '2021-06-25T12:01:01'
     end = '2021-11-02T14:01:01'
 
     with open(file, 'r') as f:
-        # lines = f.read().split('\n')
-        # startFound = False
-        # i = 0
-        # while True:
-        #     if not startFound:
-        #         if lines[0][3:11] == '"date": ' and lines[0][12:31] >= start:
-        #             startFound = True
-        #         else:
-        #             lines.pop(0)
-        #     if startFound:
-        #         if lines[i][3:11] == '"date": ' and lines[i][12:31] > end:
-        #             lines = lines[0:i]
-        #             break
-        #         else:
-        #             i += 1
-
         obj = json.load(f)
 
     messages: list = obj['messages']
     messages = [m for m in messages if start < m['date'] < end
                 and m['type'] == 'message'
-                # and m['from'] == 'Shu Lin'
                 # and m['from'] == 'Hykilpikonna'
                 ]
 
     timezone_delta = timedelta(hours=12)
     dates = [datetime.fromisoformat(m['date']) - timezone_delta for m in messages]
 
-    # fig, ax = plt.subplots()
-    # ax.hist('date', data=dates)
-    #
-    # ax.xaxis.set_major_locator(mdates.HourLocator(interval=3))
-    # ax.xaxis.set_minor_locator(mdates.HourLocator())
-    # ax.xaxis.set_major_formatter(mdates.DateFormatter('%d %H'))
-
     plt.xticks(rotation=90)
     plt.tight_layout()
     plt.hist(dates, bins=300, color='#ffcccc')