Roberto Rosario bd12d587ee Refactor document indexing app
Convert half the widget to HTML widgets.

Rename links and views to use the nomeclature _template_
and _instance_ to differenciate between index instances
and index templates.

Update URL parameters to use the "_id" form.

Add more tests.

Add model permission inheritance to the IndexTemplateNode,
and IndexInstanceNode models.

Remove the level and document count display from the
instance node. Display instead the total items.

Use a FilteredSelectionForm subclass to display the list
of index templates to rebuild.

Add missing icons.

Add keyword arguments to links.

Modernize tests to use the document test mixin.

Update the permission requirements for the index template
document type selection screen. The document type view
permission is now required in addition to the index
template edit permission.

Use ExternalObjectMixin to reduce the code in all views.

Signed-off-by: Roberto Rosario <Roberto.Rosario@mayan-edms.com>
2019-02-05 05:47:10 -04:00
2018-12-16 00:34:21 -04:00
2019-02-05 05:47:10 -04:00
2017-09-05 01:51:04 -04:00
2018-10-06 02:14:54 -04:00
2017-02-16 01:50:00 -04:00
2018-10-04 03:33:23 -04:00
2019-02-05 05:47:10 -04:00
2014-07-12 16:59:14 -04:00

pypi builds coverage python license Docker pulls Docker Stars Docker layers



Mayan EDMS is a document management system. Its main purpose is to store, introspect, and categorize files, with a strong emphasis on preserving the contextual and business information of documents. It can also OCR, preview, label, sign, send, and receive thoses files. Other features of interest are its workflow system, role based access control, and REST API.

Installation

The easiest way to use Mayan EDMS is by using the official Docker image. Make sure Docker is properly installed and working before attempting to install Mayan EDMS.

For the complete set of installation instructions visit the Mayan EDMS documentation at: https://docs.mayan-edms.com/topics/installation.html

Hardware requirements

  • 2 Gigabytes of RAM (1 Gigabyte if OCR is turned off).
  • Multiple core CPU (64 bit, faster than 1 GHz recommended).

Important links

Description
No description provided
Readme 143 MiB
Languages
Gettext Catalog 47.9%
Python 26.9%
Modelica 23.2%
HTML 0.8%
reStructuredText 0.7%
Other 0.3%