Whenever I download a torrent file, the file ends-up in my web browser's download directory. Then I invariably click on the .torrent file to start the download. Since I usually download a few .torrent files a day, my download directory becomes cluttered with files I do not really want. But I do not want to delete the files since I might want to forward them to someone else later or download the rest of a partially downloaded torrent at a later time.
As with any difficulty in live, it can be solved by a small Python script. The best way I found to handle the files is to just move the files in a subdirectory. So I just "double-click" the script whenever I think too many .torrent files are lying around.
import os
import fnmatch
def main():
try:
_clear_torrent_files()
except BaseException as e:
print(e)
input("Press a key to exit")
def _clear_torrent_files():
files = os.listdir('./')
files_move = []
for file in files:
if fnmatch.fnmatch(file, '*.torrent'):
files_move.append(file)
x=0
for file in files_move:
x +=1
folder_dest = './TorrRep/__Cleared/'
_createDirIfNotExist(folder_dest)
file_dest = folder_dest + file
str = '[{2}] - Moving {0} to {1}'.format(file, file_dest, x)
if len(str) > 70:
str = str[0:69]
print (str)
os.rename(file, file_dest)
def _createDirIfNotExist(in_dir):
if not os.path.exists(in_dir):
os.makedirs(in_dir)
if __name__ == '__main__':
main()
Then the files are 'gone', but recoverable!
2010/07/01
Torrent Files: Begone! (And Be Recoverable!)
Posted by
David
at
12:25 AM
0
comments
Labels: Python
2010/06/27
Securely Erase the Content of A Drive... The Easy Way!
Do you sometimes have somewhat sensitive data that has been deleted on a drive but you would feel better if it were unrecoverable? And you don't want to wipe-out the whole drive (keep the data that is already in). Such a situation occurs a lot when changing PC at work. You know the next guy will likely be a computer expert; if that person has a penchant for evil, you definitely do not what that person to have access to the data that used to be on that computer.
Leave this script running overnight and you can be (kind of) confident nothing will be recoverable.
#python 3
import random
import os
def _getRandStr(rand_str_len):
lib = "abcdefghjiklmnopqrstuvwxyz123456789"
randomStr = []
while len(randomStr) < rand_str_len:
randomStr += lib[ random.randint(0,len(lib)-1) ]
assert len(randomStr) == rand_str_len
return "".join(randomStr)
def writeToHDUntilException():
randomfolder = None
nfilesInFolder = 0
while True:
if randomfolder is None or nfilesInFolder > 9:
randomfolder = _getRandStr(16)
if not os.path.isdir(randomfolder):
os.mkdir(randomfolder)
nfilesInFolder = 0
fh = open( randomfolder + '/' + _getRandStr(32) + '.jpg', 'wb' )
fh.write( _getRandStr(128).encode()*1024*8 )
fh.close()
nfilesInFolder += 1
if __name__ == '__main__':
writeToHDUntilException()
If you leave that script running for long enough then you will eventually have overwritten all the free nodes of the HD. Delete the files created and the content that was there beforehand will be unrecoverable. Quite handy for USB keys.
Posted by
David
at
7:43 PM
1 comments
Labels: Python
2010/06/19
da_crypt.py: The smallest encryption library you will ever find!
Here is a small library that I wrote just for fun. If you provide a key that is the same length as the file/bytes to be encrypted, this algorithm is unbreakable (see XOR_cipher and One Time Pad).
#!/usr/bin/python3.0
class Key:
def __init__(self, bytesKey):
self.__key = bytesKey
def getAt(self, x):
x = x % len(self.__key)
return self.__key[x]
class Crypt_Xor:
def __init__(self, key):
self.__key = key
def encrypt(self, bytesToCrypt):
bytesCrypt = bytearray(len(bytesToCrypt))
x = 0
for byte in bytesToCrypt:
key_node = self.__key.getAt(x)
bytesCrypt[x] = byte ^ key_node
x += 1
return bytesCrypt
def decrypt(self, bytesToDecrypt):
bytesDeCrypt = bytearray(len(bytesToDecrypt))
x = 0
lstDecrypted = []
for char in bytesToDecrypt:
key_node = self.__key.getAt(x)
bytesDeCrypt[x] = bytesToDecrypt[x] ^ key_node
x += 1
return bytesDeCrypt
The amazing thing is that it can be fully implemented with very little code (31 lines in this case).
I got the idea reading the excellent book 'Computer Networks by Andrew S.Tanenbaum -- 8.1.4'.
Here is a small test function:
def _test_crypt_object( crypt ):
data_orig = b'I am a simple string to be encrypted.'
print( 'data_orig: %s' % data_orig )
testKey = b'My secret key... \x123\x456\x798'
crypt = crypt( Key(testKey) )
data_encoded = crypt.encrypt(data_orig)
print( 'data_encoded: %s' % data_encoded )
data_decoded = crypt.decrypt(data_encoded)
print( 'data_decoded: %s' % data_decoded )
assert data_decoded == data_orig
def test_module():
print( 'da_crypt test start' )
_test_crypt_object(Crypt_Xor)
print( 'da_crypt test end' )
if __name__ == '__main__':
test_module()
You can check the updated code at:
http://code.google.com/p/miscdev/source/browse/da_crypt/
It also contains a small extension that allows file encryption.
Be careful though: the implementation uses a circular key (for simplicity's sake). If you use a key that is not random or a key that is less than the size of the data to be encrypted then it becomes relatively easy to crack.
Enjoy!
Posted by
David
at
11:55 PM
0
comments
Labels: encryption, Python
2009/06/01
Picasa - Delete Annoying ".picasaoriginals" Space Consuming Folders
python DelPicasaOriginalBackups.pyFolder:C:\pics\09-01-03 - Montreal\.picasaoriginalsContent:{IMG_7432.jpg,IMG_7433.jpg,IMG_7434.jpg}Do you want to delete the following folder and everything in sub-dirs?C:\pics\09-01-03 - Montreal\.picasaoriginalsN/Y?
Posted by
David
at
12:26 PM
5
comments
2007/09/02
pyWeightWatch: Monitor your Weight Efficiently
pyWeightWatch: Monitor your Weight Efficiently
Note:The project page has moved: http://david-web.appspot.com/cnt/WeightWatch/
Consider the information on this page deprecated.
Installation:
Just unpack the .exe in a directory, then run pyWeight.exe.
The program is going to ask you how much you weight now. Jump on a scale and enter your weight.
The program will automatically generate a graph of your weight over time.
This is what the program generates for me:

Usage:
Enter today's weight and see the graph/save to .png: pyWeight.exe Just update the .png file with the data contained in Weight.xml: pyWeight.exe -u pyWeight.exe --update
Download:
pyWeightWatch v1.0 (source here)Future features:
-Interpolation and prediction-Better labelling
-XML indexed by date and weight, should extract all weightelement and then extract the weight and date.
-Leave some space in graph (not just the extremum of the data)
-Build Weight.xml if not present/valid
Posted by
David
at
2:22 PM
2
comments