Skip to main content

Image gallery built with the Pylons web framework

Project description

PyGall

About PyGall

PyGall is a simple web photo gallery written in Python and built on the Pylons web framework.

PyGall is written by Bruno Binet and is licensed under a BSD permissive license.

Code is hosted on github: https://github.com/inneos/PyGall.

Be warned that this image gallery is beta software, and not full featured. It has been developped to fit my own needs, and may not suit your wishes.

But that being said, feel free to create a new issue to report bugs or ask for new features at https://github.com/inneos/PyGall/issues. Even better, since the code is hosted on github, feel free to fork and send pull requests.

Features

PyGall currently provides the following basic features:

  • Upload photos through the browser. The photos are automatically scaled and rotated if needed. If using F-Spot as your personal photo management desktop application, PyGall provides a script to automatically import photos from F-Spot.

  • Browse and view photos through a nice interface borrowed from Galleria.

Install

You should have a working setuptools (or distribute) environment. I advise you to use virtualenv to create an isolated Python environment.

Prior to actually install PyGall and its dependencies, you should install the libjpeg and python development files, which are needed to compile the Python Imaging Library dependency. On Debian Linux you can do:

$ sudo aptitude install build-essential libjpeg-dev python-dev

Then you can install PyGall with the following command:

$ easy_install PyGall

PyGall is now installed. Let’s generate a configuration file for your PyGall photo gallery:

$ paster make-config PyGall pygall.ini

The newly created pygall.ini file will be used by Paster to initialize the application, create the database, and serve your application.

So you need to create the database:

$ paster setup-app pygall.ini#pygall

And finally, you can serve your PyGall application:

$ paster serve pygall.ini

That’s all, you can point your browser to http://127.0.0.1:5000 and start using PyGall. You’re ready to import your first photos!

Changes

0.7

  • add support for other image formats than jpeg (these formats should be supported by PIL though)

  • add missing PIL dependency and remove pyexiv2 system dependency so that pygall now works in an isolated virtual environment built with “virtualenv –no-site-packages”

  • improve installation instructions

  • add support for i18n (with translations for “en” and “fr” languages)

  • prompt for admin password when setting up PyGall

0.6

  • refactoring and cleanups

0.5

  • Add support for authentication and authorization with repoze.who/what

  • Refactor model definition to use declarative syntax (default in Pylons 1.0)

  • Keep only one checkbox that will be used by both delete and import buttons

  • Upgrade to Pylons 1.0 and SQLAlchemy 0.6

  • Various small other fixes

  • Get rid off import phase: photos are now directly published

  • Reorganisation of templates directory

0.4.1

  • Add long_description to setup.py

  • Add docs and license information

0.4

  • fspot_to_pygall.py: speed up query by deactivating lazy loading

  • fspot_to_pygall.py: calculate md5sum for photos imported from f-spot

  • fspot_to_pygall.py: export the modified version to pygall instead of the original

  • Reorganize templates struture on filesystem

  • Move model declaration to its own file

0.3

  • First usable release with upload and import support.

  • Refactoring of mako templates using inheritance.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PyGall-0.7.tar.gz (43.4 kB view details)

Uploaded Source

File details

Details for the file PyGall-0.7.tar.gz.

File metadata

  • Download URL: PyGall-0.7.tar.gz
  • Upload date:
  • Size: 43.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for PyGall-0.7.tar.gz
Algorithm Hash digest
SHA256 077cdeb26038334346a6de5ea19f2f17cd05cf22058b38d3b0576aa54a0b1d8f
MD5 f1ee5b3633f0e28e23494c9aaf6c780a
BLAKE2b-256 223cf32e74465e197ba0d5ef103461392b91d0caf00a4d4983ed307c4c5a8e84

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page