Quick project: generating multiwords passwords [python]
Hi guys! If you have touched the crypto/blockchain field already, then you know that very often the passwords generated to protect your wallets, are built as a “collection of words” (english words is the only thing i've seen so far myself). Like for instance: “sleep score my opposite migrate”, really just random words.
I think this concept is quite interesting as a generic mechanism to create your passwords: they are still very strong, but it's easier to remember/use a few words than a completely random collection of letters/digits/symbols 😊 specially when those words are in your mother language (so french for me)
⇒ So today, let's just build a python utility to do just that: generate this kind of multi words password
The command line arguments
The way I see it, I could use the following command line arguments for that tool:
- language: A language code name to specify the language from which the words should be taken: could be english or french for instance, should default to french in my case maybe.
- num_words: Number of words to pick
- min_len: Minimum number of characters in the words, default to 3
- max_len: Maximum number of characters in the words, default to 8
- no_space: Remove the space between the words, should default to false
And that should be enough to generate our passwords with a command line such as:
nvp gen-password
Let's prepare the skeleton of as a new NVPComponent:
"""PasswordGenerator module"""
import logging
from nvp.nvp_component import NVPComponent
from nvp.nvp_context import NVPContext
logger = logging.getLogger(__name__)
class PasswordGenerator(NVPComponent):
"""PasswordGenerator component class"""
def __init__(self, ctx: NVPContext, _proj=None):
"""Component constructor"""
NVPComponent.__init__(self, ctx)
desc = {
"gen-password": None,
}
ctx.define_subparsers("main", desc)
psr = ctx.get_parser('main.gen-password')
psr.add_argument("-l", "--language", dest="language", type=str, default="fr",
help="Input language to use to collect the words")
psr.add_argument("-n", "--num", dest="num_words", type=int, default=5,
help="Number of words to collect")
psr.add_argument("--min", dest="min_len", type=int, default=3,
help="Minimum number of characters in the words")
psr.add_argument("--max", dest="max_len", type=int, default=8,
help="Maximum number of characters in the words")
psr.add_argument("-p", "--no-space", dest="no_space", action='store_true',
help="Remove the space between the words")
def process_command(self, cmd0):
"""Re-implementation of process_command"""
if cmd0 == 'gen-password':
return self.run()
return False
def run(self):
"""Generate an password given some input settings"""
logger.info("Should generate password here.")
return True
And this will give use the expected output when the command is run:
kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp gen-password 2022/04/25 07:22:44 [components.password_generator] INFO: Should generate password here.
Retrieving collection of words
Okay, now that we can run the command, let's start thinking about the actual process:
- We will need to select words from a collection of words randomly. This should be easily done simply with numpy.random.choice()
- But first, we need a list of words to work with! And that, I don't have yet… So this requires some additional thinking/searching.
- Once we have a list of words in the target language we can easily pre-process that list to consider only the words with the correct number of characters, and that part is easy too.
So, let's find some words first 😊!
Okay, so, that was not too hard: we have for instance https://www.gutenberg.org/browse/languages/fr where we can download raw text versions of french books, so that is what I just looked at.
And in fact on that page, you have a very large list of links in the format https://www.gutenberg.org/ebooks/18812, and for each of those links, we can then download a text file at (for instance) https://www.gutenberg.org/ebooks/18812.txt.utf-8 (or maybe not ?) ⇒ So let's try to grab all those links, and them some of the text files!
We will add a new command in our PasswordGenerator module for that called collect-words:
def collect_words(self):
"""Collecting words from text files."""
# logger.info("Should collect text files here.")
lang = self.get_param("language")
# Get the text file links from gutenberg:
url = f"https://www.gutenberg.org/browse/languages/{lang}"
content = self.get_online_content(url)
# Extract the urls:
# https://www.gutenberg.org/ebooks/18812
book_desc = re.findall(r"href=\"(/ebooks/[0-9]+)\">(.+)</a>", content)
for elem in book_desc:
logger.info("%s : '%s'", elem[0], elem[1])
logger.info("Found %d books", len(book_desc))
return True
And with that code, I can find more that 4000 french books, so that should be far more than enough 😅:
2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/8561 : 'Une page d'amour' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/34451 : 'Paris' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/8907 : 'Pot-Bouille' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/17533 : 'Le Rêve' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/34528 : 'Rome' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/17557 : 'Son Excellence Eugène Rougon' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/8563 : 'La Terre' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/7461 : 'Thérèse Raquin' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/6470 : 'Le Ventre de Paris' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/56808 : 'La vérité en marche: L'affaire Dreyfus' 2022/04/25 08:03:21 [components.password_generator] INFO: /ebooks/46447 : 'Ma confession' 2022/04/25 08:03:21 [components.password_generator] INFO: Found 4611 books
⇒ For now let's just retrieve a few of those books, let's say 20, randomly selected.
In fact this is giving me another idea: since I can collect so much text data in french, this could be used an an input to a deep learning network to write texts in french automatically ? ⇒ To be investigated further some day if I have the time for it
Removing duplicate books and downloading
One step further now with the following version of the collect_words method where I handle the duplicated books from the initial list (so we only have 3400 books now boooooo!! 😂), and then downloading a few of them in a local folder:
def collect_words(self):
"""Collecting words from text files."""
# logger.info("Should collect text files here.")
lang = self.get_param("language")
# Get the text file links from gutenberg:
url = f"https://www.gutenberg.org/browse/languages/{lang}"
content = self.get_online_content(url)
# Extract the urls:
# https://www.gutenberg.org/ebooks/18812
book_desc = re.findall(r"href=\"(/ebooks/[0-9]+)\">(.+)</a>", content)
book_urls = set()
title_map = {}
titles = set()
for elem in book_desc:
# logger.info("%s : '%s'", elem[0], elem[1])
if elem[0] in book_urls:
continue
book_urls.add(elem[0])
title = self.sanitize_title(elem[1])
base_title = title
idx = 1
while title in titles:
idx += 1
title = f"{base_title}-{idx}"
logger.info("Using alternate title: %s", title)
titles.add(title)
title_map[elem[0]] = title
book_urls = list(book_urls)
nbooks = len(book_urls)
logger.info("Found %d books", nbooks)
# download count
max_num_books = self.get_param("num_books")
count = 0
if max_num_books == 0:
max_num_books = nbooks
random.shuffle(book_urls)
tools = self.get_component("tools")
data_dir = self.get_data_dir()
dest_dir = self.get_path(data_dir, f"input_{lang}")
self.make_folder(dest_dir)
for i in range(nbooks):
# try to download the book
book_id = book_urls[i]
url = f"https://www.gutenberg.org{book_id}.txt.utf-8"
title = self.sanitize_title(title_map[book_id])
dest_file = self.get_path(dest_dir, f"{title}.txt")
# File should not exist already:
if self.file_exists(dest_file):
count += 1
elif tools.download_file(url, dest_file, f"{count}/{max_num_books} "):
count += 1
if count >= max_num_books:
break
return True
Still working just fine so far:
kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp collect-words 2022/04/25 08:31:05 [nvp.nvp_object] INFO: Sending request on https://www.gutenberg.org/browse/languages/fr... 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: lettres-de-mon-moulin-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: la-tulipe-noire-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: les-mille-et-une-nuits-tome-premier-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: emaux-et-camees-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: lodyssee-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: lholocauste-roman-contemporain-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: lexilee-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: la-fille-du-capitaine-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: les-petites-filles-modeles-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: les-voyages-de-gulliver-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: autour-de-la-lune-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: le-tour-du-monde-en-quatre-vingts-jours-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: le-tour-du-monde-en-quatre-vingts-jours-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: le-tour-du-monde-en-quatre-vingts-jours-3 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: le-tour-du-monde-en-quatre-vingts-jours-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: le-tour-du-monde-en-quatre-vingts-jours-3 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: le-tour-du-monde-en-quatre-vingts-jours-4 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: les-tribulations-dun-chinois-en-chine-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: candide-ou-loptimisme-2 2022/04/25 08:31:06 [components.password_generator] INFO: Using alternate title: salome-2 2022/04/25 08:31:06 [components.password_generator] INFO: Found 3440 books 2022/04/25 08:31:06 [nvp.components.tools] INFO: Downloading file from https://www.gutenberg.org/ebooks/38335.txt.utf-8... 0/5 [==================================================] 6396/6396 100.000% 2022/04/25 08:31:07 [nvp.components.tools] INFO: Downloading file from https://www.gutenberg.org/ebooks/42036.txt.utf-8... 1/5 [==================================================] 6396/6396 100.000% 2022/04/25 08:31:07 [nvp.components.tools] INFO: Downloading file from https://www.gutenberg.org/ebooks/29282.txt.utf-8... 2/5 [==================================================] 283265/283265 100.000% 2022/04/25 08:31:09 [nvp.components.tools] INFO: Downloading file from https://www.gutenberg.org/ebooks/30788.txt.utf-8... 3/5 [==================================================] 1224157/1224157 100.000% 2022/04/25 08:31:13 [nvp.components.tools] INFO: Downloading file from https://www.gutenberg.org/ebooks/46541.txt.utf-8... 4/5 [==================================================] 6396/6396 100.000%
Handling invalid urls and too long titles
Then I realized that some of the text files download actually contained HTML code with indication that the URL was not correct: apparently there are at least 2 differents URL schemes to download the text files so I added support for that, trying multiple urls for each download.
And also eventually got this error:
2022/04/25 08:45:54 [nvp.components.tools] INFO: Downloading file from https://www.gutenberg.org/ebooks/57788.txt.utf-8...
Traceback (most recent call last):
File "D:\Projects\NervProj\cli.py", line 5, in <module>
ctx.run()
File "D:\Projects\NervProj\nvp\nvp_context.py", line 291, in run
if comp.process_command(cmd):
File "D:\Projects\NervHome\components\password_generator.py", line 61, in process_command
return self.collect_words()
File "D:\Projects\NervHome\components\password_generator.py", line 134, in collect_words
if tools.download_file(url, dest_file, f"{count}/{max_num_books} "):
File "D:\Projects\NervProj\nvp\components\tools.py", line 258, in download_file
with open(tmp_file, "wb") as fdd:
FileNotFoundError: [Errno 2] No such file or directory: 'D:\\Projects\\NervHome\\data\\words\\books_fr\\avis-pour-les-religieuses-de-lord
re-de-lannonciade-celeste-fonde-a-genes-lannee-de-notre-salut-1604-brrimprimes-en-ladite-ville-amp-accomodes-a-la-pratique-de-lobservance
-des-constitutions-pour-linstruction-des-exercices-spirituels-a-lusage-des-monasteres-du-meme-ordre.txt.download'
So obviously, I need to protect myself against way too long title/filenames 😁!
Collecting the words
And then I could finally start collecting some words from those text files, ensuring I would only consider “valid” words for the selected language. Which give us the following code for collect_words (note that I moved the first part of our work above in the method download_books)
def collect_words(self):
"""Collecting words from text files."""
chars = {
"fr": "abcdefghijklmnopqrstuvwxyzâàæçéêëèïîôûùüÿœ",
"en": "abcdefghijklmnopqrstuvwxyz"
}
lang = self.get_param("language")
data_dir = self.get_data_dir()
dest_dir = self.get_path(data_dir, f"books_{lang}")
# Now we get the content of each book:
books = self.get_all_files(dest_dir, exp="\.txt")
if len(books) == 0:
logger.info("No book downloaded yet.")
return True
words = set()
allowed_chars = chars[lang]
for book in books:
# logger.info("Should read book: %s", book)
content = self.read_text_file(self.get_path(dest_dir, book))
all_words = content.split(" ")
logger.info("Processing %d words book %s...", len(all_words), book)
added = 0
# process each word:
for word in all_words:
word = self.sanitize_word(word, allowed_chars)
if word is not None and word not in words:
words.add(word)
added += 1
logger.info("Added %d new words", added)
# write the list of words:
dest_file = self.get_path(data_dir, f"words_{lang}.txt")
words = list(words)
words.sort()
logger.info("Writting %d words for language %s", len(words), lang)
self.write_text_file("\n".join(words), dest_file)
return True
def sanitize_word(self, word, allowed):
"""Sanitize a given word for our current language of interest."""
if not word.isalpha():
return None
word = word.lower()
for char in word:
if char not in allowed:
return None
return word.lower()
And with that, I will collect about 61k unique words from 50 french books already:
2022/04/25 09:24:57 [components.password_generator] INFO: Processing 60477 words book suzanne-et-le-pacifique.txt... 2022/04/25 09:24:57 [components.password_generator] INFO: Added 828 new words 2022/04/25 09:24:57 [components.password_generator] INFO: Processing 54861 words book suzanne-normis-roman-dun-pere.txt... 2022/04/25 09:24:57 [components.password_generator] INFO: Added 229 new words 2022/04/25 09:24:57 [components.password_generator] INFO: Processing 69463 words book un-hollandais-a-paris-en-1891-sensations-de-littera ture-et-dart.txt... 2022/04/25 09:24:57 [components.password_generator] INFO: Added 407 new words 2022/04/25 09:24:57 [components.password_generator] INFO: Processing 111405 words book vercingetorix.txt... 2022/04/25 09:24:57 [components.password_generator] INFO: Added 1082 new words 2022/04/25 09:24:57 [components.password_generator] INFO: Processing 157230 words book vie-privee-et-publique-des-animaux.txt... 2022/04/25 09:24:58 [components.password_generator] INFO: Added 1079 new words 2022/04/25 09:24:58 [components.password_generator] INFO: Writting 61269 words for language fr
Which is certainly not bad at all already, but just for the fun I'm going to add a few more books to the input list 😋
Remaining error on utf-8
So when trying to download more books I eventually got this other error:
2022/04/25 09:42:39 [nvp.components.tools] INFO: Downloading file from https://www.gutenberg.org/54035/54035-0.txt...
216/500 [==================================================] 191553/191553 100.000%
Traceback (most recent call last):
File "D:\Projects\NervProj\cli.py", line 5, in <module>
ctx.run()
File "D:\Projects\NervProj\nvp\nvp_context.py", line 291, in run
if comp.process_command(cmd):
File "D:\Projects\NervHome\components\password_generator.py", line 66, in process_command
return self.download_books()
File "D:\Projects\NervHome\components\password_generator.py", line 147, in download_books
content = self.read_text_file(dest_file)
File "D:\Projects\NervProj\nvp\nvp_object.py", line 242, in read_text_file
content = file.read()
File "D:\Projects\NervProj\tools\windows\python-3.10.1\lib\codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa9 in position 172089: invalid start byte
⇒ I need to improve the robustness when downloading then reading a text file:
for url in urls:
if tools.download_file(url, dest_file, f"{count+1}/{max_num_books} "):
# Check if the content of the file is not html:
content = None
try:
content = self.read_text_file(dest_file)
except UnicodeDecodeError:
logger.error("Invalid unicode character in %s", dest_file)
if content is None or content.startswith("<!DOCTYPE html>"):
# Not what we want, discard that file:
logger.info("Invalid content at %s, discarding it.", url)
self.remove_file(dest_file)
else:
break
OK, and now processing 500 french books, I get a collection of 182k words 👍:
2022/04/25 10:16:19 [components.password_generator] INFO: Processing voyage-en-orient-volume-2-les-nuits-du-ramazan-de-paris-a-cythere-lo rely.txt... 2022/04/25 10:16:20 [components.password_generator] INFO: => Added 180 new words from 168709 source elements 2022/04/25 10:16:20 [components.password_generator] INFO: Processing voyages-du-capitaine-lemuel-gulliver-en-divers-pays-eloignes-tome-i- de-iii.txt... 2022/04/25 10:16:20 [components.password_generator] INFO: => Added 444 new words from 50923 source elements 2022/04/25 10:16:20 [components.password_generator] INFO: Processing voyages-imaginaires-songes-visions-et-romans-cabalistiques-tome-35.t xt... 2022/04/25 10:16:20 [components.password_generator] INFO: => Added 152 new words from 83807 source elements 2022/04/25 10:16:20 [components.password_generator] INFO: Processing vue-generale-de-lhistoire-politique-de-leurope.txt... 2022/04/25 10:16:20 [components.password_generator] INFO: => Added 36 new words from 34304 source elements 2022/04/25 10:16:20 [components.password_generator] INFO: Writting 182560 words for language fr
⇒ Many of those words are probably not french in fact… could be town or people names: So maybe I should ignore words starting containing a capital letter: let's do that:
def sanitize_word(self, word, allowed):
"""Sanitize a given word for our current language of interest."""
if not word.isalpha():
return None
# Ignore word with capital letter:
if any(ele.isupper() for ele in word):
return None
# Should not need to convert to lower case:
word = word.lower()
for char in word:
if char not in allowed:
return None
return word.lower()
With that change we still get more than 147k words:
2022/04/25 10:21:43 [components.password_generator] INFO: Processing voyage-en-espagne.txt... 2022/04/25 10:21:43 [components.password_generator] INFO: => Added 176 new words from 114676 source elements 2022/04/25 10:21:43 [components.password_generator] INFO: Processing voyage-en-orient-volume-2-les-nuits-du-ramazan-de-paris-a-cythere-lo rely.txt... 2022/04/25 10:21:43 [components.password_generator] INFO: => Added 109 new words from 168709 source elements 2022/04/25 10:21:43 [components.password_generator] INFO: Processing voyages-du-capitaine-lemuel-gulliver-en-divers-pays-eloignes-tome-i- de-iii.txt... 2022/04/25 10:21:44 [components.password_generator] INFO: => Added 396 new words from 50923 source elements 2022/04/25 10:21:44 [components.password_generator] INFO: Processing voyages-imaginaires-songes-visions-et-romans-cabalistiques-tome-35.t xt... 2022/04/25 10:21:44 [components.password_generator] INFO: => Added 133 new words from 83807 source elements 2022/04/25 10:21:44 [components.password_generator] INFO: Processing vue-generale-de-lhistoire-politique-de-leurope.txt... 2022/04/25 10:21:44 [components.password_generator] INFO: => Added 29 new words from 34304 source elements 2022/04/25 10:21:44 [components.password_generator] INFO: Writting 147523 words for language fr
⇒ Let's try to use that now anyway 
!
Generating the password
Finally, here is the method implementation to generate the actuall multi-word password:
def gen_password(self):
"""Generate an password given some input settings"""
# logger.info("Should generate password here.")
# Read the word file:
lang = self.get_param("language")
data_dir = self.get_data_dir()
dest_file = self.get_path(data_dir, f"words_{lang}.txt")
all_words = self.read_text_file(dest_file).splitlines()
minl = self.get_param("min_len")
maxl = self.get_param("max_len")
kept_words = [word for word in all_words if len(word) >= minl and len(word) <= maxl]
logger.info("Keeping %d / %d words", len(kept_words), len(all_words))
num = self.get_param("num_words")
# pick the random words:
words = np.random.choice(kept_words, size=num)
no_space = self.get_param("no_space")
spacer = "" if no_space else " "
password = spacer.join(words)
logger.info("Generated password: \"%s\"", password)
return True
And this is working great! 🤪:
kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp gen-password 2022/04/25 10:24:50 [components.password_generator] INFO: Keeping 79137 / 147523 words 2022/04/25 10:24:50 [components.password_generator] INFO: Generated password: "surgeons parton jouaient quière issit" kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp gen-password 2022/04/25 10:25:02 [components.password_generator] INFO: Keeping 79137 / 147523 words 2022/04/25 10:25:02 [components.password_generator] INFO: Generated password: "cabat voilette logeroit épaissit allicere" kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp gen-password 2022/04/25 10:25:16 [components.password_generator] INFO: Keeping 79137 / 147523 words 2022/04/25 10:25:16 [components.password_generator] INFO: Generated password: "écrirait pleynte movent escria hérissé"
Final code
And for reference, here is the final code for the complete component in case someone is interested:
"""PasswordGenerator module"""
import logging
import re
import random
import numpy as np
from nvp.nvp_component import NVPComponent
from nvp.nvp_context import NVPContext
logger = logging.getLogger(__name__)
class PasswordGenerator(NVPComponent):
"""PasswordGenerator component class"""
def __init__(self, ctx: NVPContext, proj=None):
"""Component constructor"""
NVPComponent.__init__(self, ctx)
# Store the project
self.proj = proj
self.data_dir = None
desc = {
"gen-password": None,
"download-books": None,
"collect-words": None
}
ctx.define_subparsers("main", desc)
psr = ctx.get_parser('main.collect-words')
psr.add_argument("-l", "--language", dest="language", type=str, default="fr",
help="language to collect the words")
psr = ctx.get_parser('main.download-books')
psr.add_argument("-l", "--language", dest="language", type=str, default="fr",
help="language to collect the words")
psr.add_argument("-n", "--num", dest="num_books", type=int, default=500,
help="Number of books to collect to get the words")
psr = ctx.get_parser('main.gen-password')
psr.add_argument("-l", "--language", dest="language", type=str, default="fr",
help="Input language to use to collect the words")
psr.add_argument("-n", "--num", dest="num_words", type=int, default=5,
help="Number of words to collect")
psr.add_argument("--min", dest="min_len", type=int, default=3,
help="Minimum number of characters in the words")
psr.add_argument("--max", dest="max_len", type=int, default=8,
help="Maximum number of characters in the words")
psr.add_argument("-p", "--no-space", dest="no_space", action='store_true',
help="Remove the space between the words")
def get_data_dir(self):
"""Get the data directory for the words"""
if self.data_dir is None:
self.data_dir = self.get_path(self.proj.get_root_dir(), "data", "words")
return self.data_dir
def process_command(self, cmd0):
"""Re-implementation of process_command"""
if cmd0 == 'gen-password':
return self.gen_password()
if cmd0 == 'download-books':
return self.download_books()
if cmd0 == 'collect-words':
return self.collect_words()
return False
def download_books(self):
"""Download the books"""
lang = self.get_param("language")
data_dir = self.get_data_dir()
dest_dir = self.get_path(data_dir, f"books_{lang}")
# logger.info("Should collect text files here.")
# Get the text file links from gutenberg:
url = f"https://www.gutenberg.org/browse/languages/{lang}"
content = self.get_online_content(url)
# Extract the urls:
# https://www.gutenberg.org/ebooks/18812
book_desc = re.findall(r"href=\"(/ebooks/[0-9]+)\">(.+)</a>", content)
book_urls = set()
title_map = {}
titles = set()
for elem in book_desc:
# logger.info("%s : '%s'", elem[0], elem[1])
if elem[0] in book_urls:
continue
book_urls.add(elem[0])
title = self.sanitize_title(elem[1])
base_title = title
idx = 1
while title in titles:
idx += 1
title = f"{base_title}-{idx}"
logger.info("Using alternate title: %s", title)
titles.add(title)
title_map[elem[0]] = title
book_urls = list(book_urls)
nbooks = len(book_urls)
logger.info("Found %d books", nbooks)
# download count
max_num_books = self.get_param("num_books")
count = 0
if max_num_books == 0:
max_num_books = nbooks
random.shuffle(book_urls)
tools = self.get_component("tools")
self.make_folder(dest_dir)
for i in range(nbooks):
# try to download the book
book_id = book_urls[i]
url1 = f"https://www.gutenberg.org{book_id}.txt.utf-8"
book_num = book_id[8:] # discarding the /ebooks/ prefix
url2 = f"https://www.gutenberg.org/{book_num}/{book_num}-0.txt"
urls = [url1, url2]
title = self.sanitize_title(title_map[book_id])
dest_file = self.get_path(dest_dir, f"{title}.txt")
# File should not exist already:
if self.file_exists(dest_file):
count += 1
else:
for url in urls:
if tools.download_file(url, dest_file, f"{count+1}/{max_num_books} "):
# Check if the content of the file is not html:
content = None
try:
content = self.read_text_file(dest_file)
except UnicodeDecodeError:
logger.error("Invalid unicode character in %s", dest_file)
if content is None or content.startswith("<!DOCTYPE html>"):
# Not what we want, discard that file:
logger.info("Invalid content at %s, discarding it.", url)
self.remove_file(dest_file)
else:
break
if not self.file_exists(dest_file):
logger.info("Could not download book %s from known urls.", book_num)
else:
count += 1
if count >= max_num_books:
break
return True
def sanitize_title(self, title):
"""Replace all characters in title that should not be used in file name"""
slug = self.slugify(title)
slug = slug[:100]
return slug
def collect_words(self):
"""Collecting words from text files."""
chars = {
"fr": "abcdefghijklmnopqrstuvwxyzâàæçéêëèïîôûùüÿœ",
"en": "abcdefghijklmnopqrstuvwxyz"
}
lang = self.get_param("language")
data_dir = self.get_data_dir()
dest_dir = self.get_path(data_dir, f"books_{lang}")
# Now we get the content of each book:
books = self.get_all_files(dest_dir, exp="\.txt")
if len(books) == 0:
logger.info("No book downloaded yet.")
return True
words = set()
allowed_chars = chars[lang]
for book in books:
# logger.info("Should read book: %s", book)
content = self.read_text_file(self.get_path(dest_dir, book))
all_words = content.split(" ")
logger.info("Processing %s...", book)
added = 0
# process each word:
for word in all_words:
word = self.sanitize_word(word, allowed_chars)
if word is not None and word not in words:
words.add(word)
added += 1
logger.info("=> Added %d new words from %d source elements", added, len(all_words))
# write the list of words:
dest_file = self.get_path(data_dir, f"words_{lang}.txt")
words = list(words)
words.sort()
logger.info("Writting %d words for language %s", len(words), lang)
self.write_text_file("\n".join(words), dest_file)
return True
def sanitize_word(self, word, allowed):
"""Sanitize a given word for our current language of interest."""
if not word.isalpha():
return None
# Ignore word with capital letter:
if any(ele.isupper() for ele in word):
return None
# Should not need to convert to lower case:
word = word.lower()
for char in word:
if char not in allowed:
return None
return word.lower()
def gen_password(self):
"""Generate an password given some input settings"""
# logger.info("Should generate password here.")
# Read the word file:
lang = self.get_param("language")
data_dir = self.get_data_dir()
dest_file = self.get_path(data_dir, f"words_{lang}.txt")
all_words = self.read_text_file(dest_file).splitlines()
minl = self.get_param("min_len")
maxl = self.get_param("max_len")
kept_words = [word for word in all_words if len(word) >= minl and len(word) <= maxl]
logger.info("Keeping %d / %d words", len(kept_words), len(all_words))
num = self.get_param("num_words")
# pick the random words:
words = np.random.choice(kept_words, size=num)
no_space = self.get_param("no_space")
spacer = "" if no_space else " "
password = spacer.join(words)
logger.info("Generated password: \"%s\"", password)
return True
And this is it: in the end some of the words you get seem almost like they are from a foreign language in fact, but hey I think that's good enough for a first version: I can still request more words that what I need and only pick the ones I know right 😅 ?
Or maybe I could simply start with ignoring words with accents for instance 🤔, let's see… only 105664 words found this way, and indeed, the results seem a bit closer to “usable” french that way:
kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp gen-password 2022/04/25 10:31:17 [components.password_generator] INFO: Keeping 58496 / 105664 words 2022/04/25 10:31:17 [components.password_generator] INFO: Generated password: "estoyent hors crussiez apparatu desquex" kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp gen-password 2022/04/25 10:31:25 [components.password_generator] INFO: Keeping 58496 / 105664 words 2022/04/25 10:31:25 [components.password_generator] INFO: Generated password: "audias mouettes dorsaux piqueur chicaner" kenshin@Saturn /cygdrive/d/Projects/NervHome $ nvp gen-password 2022/04/25 10:31:32 [components.password_generator] INFO: Keeping 58496 / 105664 words 2022/04/25 10:31:32 [components.password_generator] INFO: Generated password: "amorties ramez forgeaf mesamer partire"
⇒ Anyway, now I'm out of this “quick project” took me a couple of hours which is too long already 😁! See yaa ✌
Update: I just realized that for english books, we cannot retrieve the list of book from a single page: instead we would have to process by author name on multiple pages, and only select the books with “(English)” after the title: but that would be a somewhat non trival task, so I won't do that right now.