Skip to main content

Models and APIs to support material, lot and location master data.

Project description

https://gitlab.com/serial-lab/quartet_masterdata/badges/master/coverage.svg https://gitlab.com/serial-lab/quartet_masterdata/badges/master/build.svg https://badge.fury.io/py/quartet_masterdata.svg

GS1 CBV 1.2 Implementation for Trade Items and Location Master Data

Models and APIs to support material, lot and location master data within QU4RTET as defined in the GS1 Core Business Vocabulary.

Geo-Location/History APIs

By cross-referencing BizLocation and other information from the quartet_epcis module, quartet_masterdata provides full geo-location (lat, long) by item by EPCIS event. This provides the quartet-ui interface a mechanism by which to display mapping and geo-location visual assets.

Documentation

The full documentation is at https://serial-lab.gitlab.io/quartet_masterdata/

Quickstart

The QU4RTET Master Data module comes pre-configured in the QU4RTET project; however, if you need to add it to a test installation manually peform the following:

Install quartet_masterdata:

pip install quartet_masterdata

Add it to your INSTALLED_APPS:

INSTALLED_APPS = (
    ...
    'quartet_masterdata.apps.QuartetMasterdataConfig',
    ...
)

Add quartet_masterdata’s URL patterns:

from quartet_masterdata import urls as quartet_masterdata_urls


urlpatterns = [
    ...
    url(r'^', include(quartet_masterdata_urls)),
    ...
]

Features

  • GeoLocation APIs

  • API and Database Support For Product Master Material

  • API and Database Support for

Running Tests

** REQUIRES PYTHON 3 **

Does the code actually work?

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

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_masterdata-1.1.0.tar.gz (30.0 kB view details)

Uploaded Source

Built Distribution

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

quartet_masterdata-1.1.0-py2.py3-none-any.whl (27.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file quartet_masterdata-1.1.0.tar.gz.

File metadata

  • Download URL: quartet_masterdata-1.1.0.tar.gz
  • Upload date:
  • Size: 30.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.6

File hashes

Hashes for quartet_masterdata-1.1.0.tar.gz
Algorithm Hash digest
SHA256 4128e241e0a2b824539ee79a4cc161ac55715f93c7bd10292af80798cacde3a1
MD5 0f935a7a430e72e92bdd8372a3111ab5
BLAKE2b-256 fb29b05791b709c961a7a48b015c4363591258cecfd7656e377119dd190dc5fc

See more details on using hashes here.

File details

Details for the file quartet_masterdata-1.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for quartet_masterdata-1.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 54759321ef360af55f560f55cf162633f201359b484f39eae3d2ef142362ae54
MD5 8059131443b856ecd8d2372f8f5d09eb
BLAKE2b-256 1596c9afa52603d891cf53ce922d374a21daba8bf5d92cb2a55a1020b3fe8f53

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