Phraseanet 4.1 - Digital Asset Management application

Features :

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

License :

Phraseanet is licensed under GPL-v3 license.

Documentation :

https://docs.phraseanet.com/

Installation :

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

Try Phraseanet :

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

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

Development :

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

Docker build

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.

How to build

The three images can be built respectively with these commands :

# nginx server
docker build --target phraseanet-nginx -t local/phraseanet-nginx .

# php-fpm application
docker build --target phraseanet-fpm -t local/phraseanet-fpm .

# worker
docker build --target phraseanet-worker -t local/phraseanet-worker .

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