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-1.8.0.tar.gz (35.5 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-1.8.0-py2.py3-none-any.whl (37.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file quartet_masterdata-1.8.0.tar.gz.

File metadata

  • Download URL: quartet_masterdata-1.8.0.tar.gz
  • Upload date:
  • Size: 35.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.6

File hashes

Hashes for quartet_masterdata-1.8.0.tar.gz
Algorithm Hash digest
SHA256 8dadbe894477306a121d81e07505abf18ac314f28ea44dfe215a65da03f82965
MD5 e7ef6a37db63225a749eec752d7ffee0
BLAKE2b-256 9284db7df2940d5b69fb7bd8a7d9fd5db339523602565606503555fc67f5372a

See more details on using hashes here.

File details

Details for the file quartet_masterdata-1.8.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for quartet_masterdata-1.8.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d0f83e9d6fc60de8646e19144865127547594dff02352e90a69060c53c8b74f8
MD5 9ec32bae447fae102992644b5c0b9aad
BLAKE2b-256 9999388940ce870db716cf5bdf2aad58a8d62efdb0fb63009e888766be478f2a

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