ebooks

Fediverse ebooks bot using neural networks

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20
  21. 21
  22. 22
  23. 23
  24. 24
  25. 25
  26. 26
  27. 27
  28. 28
  29. 29
  30. 30
  31. 31
  32. 32
  33. 33
  34. 34
  35. 35
from argparse import ArgumentParser
from html import unescape
from re import sub

from psycopg2 import connect


parser = ArgumentParser()
parser.add_argument('-d', '--database', help='database connection string')
parser.add_argument('-o', '--output', help='output file', default='data')
args = parser.parse_args()


# Fetch messages from database since it's way faster than using the API
conn = connect(args.database)
cur = conn.cursor()
cur.execute('SELECT * FROM statuses')
statuses = cur.fetchall()


# Use regex to remove HTML stuff
text = [unescape(sub(r'<[^>]*>', ' ', status[2])) for status in statuses]
# Extract all words from statuses
words = [word for message in text for word in message.split()]
# Remove URLs and special characters and convert to lowercase
words = [sub(r'[^a-z0-9]', '', word.lower())
         for word in words if word.find('://') == -1]
# Remove empty strings
words = [word for word in words if word != '']


# Save to output file
with open(args.output, 'w') as f:
    for word in words:
        f.write(word + '\n')