#!/usr/bin/env python

# compressor.py
from subprocess import Popen, PIPE

def compress(value):
    """Compresses a string with the xz binary"""

    process = Popen(["xz", "--compress", "--force"], stdin=PIPE, stdout=PIPE)
    return process.communicate(value)[0]

def decompress(value):
    """Decompresses a string with the xz binary"""

    process = Popen(["xz", "--decompress", "--stdout", "--force"],
                    stdin=PIPE, stdout=PIPE)
    return process.communicate(value)[0]

def compress_file(path):
    """Compress the file at 'path' with the xz binary"""

    process = Popen(["xz", "--compress", "--force", "--stdout", path], stdout=PIPE)
    return process.communicate()[0]

# compressor.py

from optparse import OptionParser
from sys import argv
import base64
import cPickle
from cStringIO import StringIO
from os.path import basename

def load():
    ppds_compressed = base64.b64decode(ppds_compressed_b64)
    ppds_decompressed = decompress(ppds_compressed)
    ppds = cPickle.loads(ppds_decompressed)
    return ppds

def ls():
    binary_name = basename(argv[0])
    ppds = load()
    for key, value in ppds.iteritems():
        if key == 'ARCHIVE': continue
        for ppd in value[2]:
            print ppd.replace('"', '"' + binary_name + ':', 1)

def cat(ppd):
    # Ignore driver's name, take only PPD's
    ppd = ppd.split(":")[-1]
    # Remove also the index
    ppd = "0/" + ppd[ppd.find("/")+1:]

    ppds = load()
    ppds['ARCHIVE'] = StringIO(decompress(ppds['ARCHIVE']))

    if ppds.has_key(ppd):
        start = ppds[ppd][0]
        length = ppds[ppd][1]
        ppds['ARCHIVE'].seek(start)
        return ppds['ARCHIVE'].read(length)

def main():
    usage = "usage: %prog list\n" \
            "       %prog cat URI"
    version = "%prog 0.4.9\n" \
              "Copyright (c) 2010 Vitor Baptista.\n" \
              "This is free software; see the source for copying conditions.\n" \
              "There is NO warranty; not even for MERCHANTABILITY or\n" \
              "FITNESS FOR A PARTICULAR PURPOSE."
    parser = OptionParser(usage=usage,
                          version=version)
    (options, args) = parser.parse_args()

    if len(args) == 0 or len(args) > 2:
        parser.error("incorrect number of arguments")

    if args[0].lower() == 'list':
        ls()
    elif args[0].lower() == 'cat':
        if not len(args) == 2:
            parser.error("incorrect number of arguments")
        ppd = cat(args[1])
        if not ppd:
            parser.error("Printer '%s' does not have default driver!" % args[1])
        print ppd
    else:
        parser.error("argument " + args[0] + " invalid")

# PPDs Archive
ppds_compressed_b64 = "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"

if __name__ == "__main__":
    try:
        main()
    except (IOError, KeyboardInterrupt):
        # We don't want neither IOError nor KeyboardInterrupt throwing a
        # traceback into stdout.
        pass
