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
-------
Each release section is appended to until a minor release is created.
Minor patches are added incrementally to the release list.

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.
* Updated LooseEnforcement check on EPCIS Parsing Step to use the boolean
parameter helper.

1.2 August 14 2018
++++++++++++++++++
* Sorted event processing by date for both the business and standard
qu4rtet EPCIS parsers.
* Updated unit tests.

1.3 Sept 28 2018
++++++++++++++++
* Added a generic EPCIS parser that finds EPCIS elements that may or
may not contain an explicit namespace declaration.

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-1.3.0.tar.gz (49.1 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-1.3.0-py2.py3-none-any.whl (51.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file quartet_epcis-1.3.0.tar.gz.

File metadata

  • Download URL: quartet_epcis-1.3.0.tar.gz
  • Upload date:
  • Size: 49.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.6

File hashes

Hashes for quartet_epcis-1.3.0.tar.gz
Algorithm Hash digest
SHA256 3a5e2844c03134bf2908ce44af993f4ccd5ba02731f6285f74868fcd8aa03ec0
MD5 ac4a489df0ed43a78940e3e8da2068fd
BLAKE2b-256 99bb9451bfe749b4d98287a944ea19482fd8c454a77d309f1769823dce67ad4d

See more details on using hashes here.

File details

Details for the file quartet_epcis-1.3.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for quartet_epcis-1.3.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8a9ab3f62fe822dadfb5dae590f2d2951dbd0ab36b2a98c81ae38c824c069df1
MD5 ee79f8f94f7155c7222ff66e2fea5b33
BLAKE2b-256 20677dae3595efcfb0396c9893b9ed5f94af4fa7e2624376d1993dc9979d3b6e

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