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pyppd
=====
``pyppd`` is a CUPS PPD generator. It holds an compressed archive of PPDs, which
can be listed and retrieved only when needed by CUPS, saving disk space.
Installation
------------
To install ``pyppd``, you can use:
# pip install pyppd
Or download the source package, uncompress, and run as root:
# python3 setup.py install
It depends on Python 2.x or 3.x (http://www.python.org) and XZ Utils
(http://tukaani.org/xz/).
Usage
-----
At first, you have to create a PPD archive. For such, put all PPDs (they might
be gzipped) you want to add in the archive inside a single folder (which can
have subfolders), then run:
$ pyppd /path/to/your/ppd/folder
It'll create ``pyppd-ppdfile`` in your current folder. This executable only
works with the same Python version that you used to generate it. You can test
it by running:
$ ./pyppd-ppdfile list
And, for reading a PPD from the archive, simply do:
$ ./pyppd-ppdfile cat pyppd-ppdfile:MY-PPD-FILE.PPD
For CUPS to be able to use your newly-created archive, copy ``pyppd-ppdfile``
to ``/usr/lib/cups/driver/`` and you're done.
The generated ``pyppd-ppdfile`` can be arbitrarily renamed, so that more than
one packed repository can be installed on one system. This can be useful if
you need a better performance, be it in time or memory usage. Note that also
the PPD URIs will follow the new name:
$ ./pyppd-ppdfile list
pyppd-ppdfile:LasterStar/LaserStar-XX100.ppd
$ mv pyppd-ppdfile laserstar
$ ./laserstar list
laserstar:LaserStar/LaserStar-XX100.ppd
Contributors
------------
* **Till Kamppeter** - Original idea, mentoring and feedback. User #0.
* **Hin-Tak Leung** - Lots of technical suggestions.
* **Martin Pitt** - Python 3 port.
* **Flávio Ribeiro** and **Diógenes Fernandes** - Refactorings and general Python's best practices tips.
* **Didier Raboud** - Make archives reproducible, by sorting the list of found PPDs and using JSON dumps instead of Pickle dumps.
* **Sambhav Dusad** - Streaming decompression, to not need to hold the whole decompressed archive in memory.
* **Google's OSPO** - Initial funding at GSoC 2010.
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