projects.mako.cc - count_todo_items/blob - count_todo_items.py

   1 #!/usr/bin/env python3
   2
   3 import datetime
   4 import mailbox
   5 import numpy as np
   6 import pandas as pd
   7
   8 # import caldav stuff
   9 import caldav
  10 from caldav.elements import dav, cdav
  11
  12 nimbus_password = '7TS3L-xABPz-8PJwn-zxAz7-ZY2Y5'
  13 database_filename = "mako_open_todos.csv"
  14
  15 current_timestamp = datetime.datetime.now()
  16 data_original = pd.read_csv(database_filename)
  17
  18 def get_flags_for_maildir (maildir_name):
  19     mb_counts = { 'unread' : 0, 'flagged' : 0 }
  20
  21     mb = mailbox.Maildir(maildir_name)
  22
  23     for msg in mb:
  24         flags = msg.get_flags()
  25         if "S" not in flags:
  26             mb_counts['unread'] += 1
  27         if "F" in flags:
  28             mb_counts['flagged'] += 1
  29
  30     return mb_counts
  31
  32 def rows_from_mb_counts (source_string, mb_counts):
  33     return pd.DataFrame({'time' : current_timestamp,
  34                          'source' : source_string,
  35                          'feature' : list(mb_counts.keys()),
  36                          'count' : list(mb_counts.values())})
  37
  38 data_email_personal = rows_from_mb_counts("default inbox",
  39                                           get_flags_for_maildir("~/incoming/mail/default"))
  40
  41 data_email_uw = rows_from_mb_counts("UW inbox",
  42                                     get_flags_for_maildir("~/incoming/mail/uw-inbox"))
  43
  44 # load calendar data
  45 caldav_client = caldav.DAVClient("https://mako:{pw}@nimbus.mako.cc/remote.php/dav/calendars/mako/personal/".format(pw=nimbus_password))
  46 cal = caldav_client.principal().calendars()[0]
  47
  48 caldav_count = np.sum(["PERCENT-COMPLETE:100" not in c.data
  49                        for c in cal.todos(include_completed=True)])
  50
  51 data_nextcloud = pd.DataFrame({'time' : [current_timestamp],
  52                                'source' : ['nextcloud tasks'],
  53                                'feature' : ['open'],
  54                                'count' : [caldav_count]})
  55
  56 ## write things out to the data file
  57 pd.concat([data_original,
  58            data_email_personal,
  59            data_email_uw,
  60            data_nextcloud]).to_csv(database_filename, index=False)