• Metadata Management (include Thesaurus and DublinCore Mapping)
• RestFull APIS
• Elasticsearch search engine
• Multiple resolution assets generation

Phraseanet is licensed under GPL-v3 license.

https://docs.phraseanet.com/

You must not download the source from GitHub, but download a packaged version here :

https://www.phraseanet.com/download/

And follow the install steps described at https://docs.phraseanet.com/4.0/en/Admin/Install.html

You can also download a testing pre installed Virtual Machine in OVA format here :

https://www.phraseanet.com/download/

For development purpose Phraseanet is shipped with ready to use development environments using vagrant. You can easily choose betweeen a complete build or a prebuild box, with a specific PHP version.

git clone
vagrant up --provision

then, a prompt allow you to choose PHP version, and another one to choose a complete build or an Alchemy prebuilt boxes.

Ex:

• vagrant up --provision //// 5.6 ///// 1 >> Build an ubuntu/xenial box with php5.6
• vagrant up --provision //// 7.0 ///// 1 >> Build an ubuntu/xenial with php7.0
• vagrant up --provision //// 7.2 ///// 2 >> Build the alchemy/phraseanet-php-7.2 box
• vagrant up --provision //// 5.6 ///// 1 >> Build the alchemy/phraseanet-php-5.6 box

For development with Phraseanet API see https://docs.phraseanet.com/4.0/en/Devel/index.html

WARNING : still in a work-in-progress status and can be used only for test purposes.

The docker distribution come with 3 differents containers :

• An nginx that act as the front http server.
• The php-fpm who serves the php files through nginx.
• The worker who execute Phraseanet scheduler.

You can build all the images with the following command at the root directory, choosing an arbirary TAG name :

./build.sh <TAG>

It will build and tag the following images :

local/phraseanet-worker:<TAG>
local/phraseanet-fpm:<TAG>
local/phraseanet-nginx:<TAG>

Once the images are built, you can deploy the entire phraseanet stack using the repository : https://github.com/alchemy-fr/phraseanet-docker and follow the instruction inside its README.md file.