Metadata-Version: 1.1
Name: quartet_output
Version: 1.0.0
Summary: Output logic for QU4RTET supply chain messaging.
Home-page: https://gitlab.com/serial-lab/quartet_output
Author: SerialLab Corp
Author-email: slab@serial-lab.com
License: MIT
Description: =============================
        quartet_output
        =============================
        
        .. image:: https://gitlab.com/serial-lab/quartet_output/badges/master/coverage.svg
           :target: https://gitlab.com/serial-lab/quartet_output/pipelines
        .. image:: https://gitlab.com/serial-lab/quartet_output/badges/master/build.svg
           :target: https://gitlab.com/serial-lab/quartet_output/commits/master
        .. image:: https://badge.fury.io/py/quartet_output.svg
            :target: https://badge.fury.io/py/quartet_output
        
        Output Rules and logic for QU4RTET supply chain messaging.
        
        Documentation
        -------------
        
        The full documentation is at https://serial-lab.gitlab.io/quartet_output
        
        Quickstart
        ----------
        
        Install quartet_output
        
        .. code-block:: text
        
            pip install quartet_output
        
        Add it to your `INSTALLED_APPS`:
        
        .. code-block:: text
        
            INSTALLED_APPS = (
                ...
                'quartet_output.apps.QuartetOutputConfig',
                ...
            )
        
        Add quartet_output's URL patterns:
        
        .. code-block:: text
        
            from quartet_output import urls as quartet_output_urls
        
        
            urlpatterns = [
                ...
                url(r'^', include(quartet_output_urls)),
                ...
            ]
        
        Features
        --------
        
        * Output determination allows you to create filters on inbound EPCIS data
          and determine which inbound EPCIS events trigger outbound business messaging.
        
        * Define HTTP and HTTPS end points for trading partners.
        
        * Define various authentication schemes for external end points.
        
        * Outbound messages take advantage of the `quartet_capture` rule engine by
          creating a new outbound task for every message.  This puts every outbound
          task on the Celery Task Queue- allowing you to scale your outbound messaging
          to your liking.
        
        
        Running The Unit Tests
        ----------------------
        
        .. code-block:: text
        
            source <YOURVIRTUALENV>/bin/activate
            (myenv) $ pip install tox
            (myenv) $ tox
        
        
Keywords: quartet_output
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: Django
Classifier: Framework :: Django :: 2.0
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Manufacturing
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
