Skip to main content

Defines EPCIS models and XML parsing.

Project description

QU4RTET EPCIS
=============

.. image:: https://gitlab.com/serial-lab/quartet_epcis/badges/master/pipeline.svg
:target: https://gitlab.com/serial-lab/quartet_epcis/commits/master

.. image:: https://gitlab.com/serial-lab/quartet_epcis/badges/master/coverage.svg
:target: https://gitlab.com/serial-lab/quartet_epcis/pipelines

.. image:: https://badge.fury.io/py/quartet_epcis.svg
:target: https://badge.fury.io/py/quartet_epcis

The quartet_epcis python package is a Django application that
contains the base database models necessary for the support of
EPCIS 1.2 data persistence to an RDBMS. The quartet_epcis.parsing
package contains an EPCIS XML parser that will take an input stream
of XML data and save it to a configured database back-end.

The quartet_epcis.app_models directory contains a set of
Django ORM models that are used to define the database scheme
and store EPCIS data in the database.

Documentation
-------------

Find the latest docs here:

https://serial-lab.gitlab.io/quartet_epcis/


The full (pre-built )documentation is under the docs directory in this project.

Quickstart
----------

Install QU4RTET EPCIS
---------------------

.. code-block:: text

pip install quartet_epcis


Add it to your `INSTALLED_APPS`:

.. code-block:: text

INSTALLED_APPS = (
...
'quartet_epcis',
...
)


Features
--------

* Maintains the database schema for EPCIS 1.2 support.
* Parses EPCIS 1.2 XML streams to the configured backend database system.
* Enforces business rules around decommissioning, commissioning, aggregation,
disaggregation, etc.

Running The Unit Tests
----------------------

.. code-block:: text

source <YOURVIRTUALENV>/bin/activate
(myenv) $ pip install -r requirements_test.txt
(myenv) $ python runtests.py





History
-------

0.1.0 (2017-12-07)
++++++++++++++++++

* First release on PyPI.

1.0.+ May 4, 2018
++++++++++++++++++

* First production-ready release.
* CI build to auto-deploy tags to PyPI
* Longer fields for document and event ids.
* Changes to CI build.
* Data migration to automatically create EPCIS rule and Step.

1.0.4 June 6, 2018
++++++++++++++++++

* EPCISParsingStep in the steps module was of wrong Type...but was working
anyway. Switched to `rule.Step` from `models.Step`.
* Added on_failure to the EPCISParsingStep to account for the new abstract
method on the base `quartet_capture.rules.Step` class.

1.1 June 21 2018
++++++++++++++++
* Addition of new business parser for EPCIS. The business parser inherits
from the original `quartet_epcis.parsing.parser.QuartetParser` and adds
additional business context processing. The new parser will perform and
track explicit aggregation and dissagregation functions as well as maintain
records of deleted/decommissioned events and check for events containing
EPCs that were never commissioned. Over 800 lines of unit testing code along
with 30 tests now cover just the quartet_epcis parsers and API.
* Fix to aggregation handling with a more aggressive caching strategy- all
entries are cached until the end of processing.
* Added additional ordering to models along with created and modified fields
for the UUID based models.

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

quartet_epcis-1.1.5.tar.gz (47.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

quartet_epcis-1.1.5-py2.py3-none-any.whl (50.0 kB view details)

Uploaded Python 2Python 3

File details

Details for the file quartet_epcis-1.1.5.tar.gz.

File metadata

  • Download URL: quartet_epcis-1.1.5.tar.gz
  • Upload date:
  • Size: 47.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for quartet_epcis-1.1.5.tar.gz
Algorithm Hash digest
SHA256 370c63b0a6e2636e619cdd585076b4332826c9ee5d4bbca417526a70e72c29ea
MD5 4d4f4481f5db2924fac1f848c55de079
BLAKE2b-256 b97225ac8d9a84cd4b09a727d580fb1f656cd47abbd3b355f3bbd81cf980f101

See more details on using hashes here.

File details

Details for the file quartet_epcis-1.1.5-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for quartet_epcis-1.1.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f1052c9f6db941b16b97386dd63411b5e8db29771d878f7d6889e57f48bdad55
MD5 f3e9c7e8beb65ccb1a678affc9fa4263
BLAKE2b-256 74c67873fce31a9a42a977b057f8715b903c4beba43f88a7c6d61206cd6e352f

See more details on using hashes here.

Supported by

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