dsp-tools 0.9.2

A Python library and tools for the DaSCH Service Platform

DSP-TOOLS - The DaSCH Service Platform Tools Repository

dsp-tools is a python package containing a command line tool for data model (ontology) creation, a library allowing creation of single resources and mass upload using the bulk import of data into the Knora framework.

The package consists of:

• dsplib Python modules for accessing Knora using the API (ontology creation, data import/export etc.)
• dsp-tools A command line program to create an ontology out of a simple JSON description
• knora-reset-triplestore A command line program to reset the content of the ontology. Does not require a restart of the Knora-Stack.

Go to Full Documentation

Install

To install the latest published version from PyPI, run:

$ pip3 install knora

To upgrade to the latest published version, run:

$ pip3 install --upgrade knora

Local Development Environment

• Python3
• Bazel

Please consult the https://docs.dasch.swiss/developers documentation on how to install these prerequisites.

Makefile for repository management tasks

The project contains a Makefile defining management tasks. Please use make help to see what is available.

To install from source, i.e., this repository, run:

$ make install

Testing

$ make test

Publishing to PyPi

Generate distribution package. Make sure you have the latest versions of setuptools and wheel installed:

$ make upgrade-dist-tools
$ make dist

You can install the package locally from the dist:

$ python3 -m pip ./dist/some_name.whl

Upload package with twine,

first create ~/.pypirc in your home folder:

[distutils] 
index-servers=pypi
[pypi] 
repository = https://upload.pypi.org/legacy/ 
username =your_username_on_pypi

then upload:

$ make upload

For local development:

$ python3 setup.py --editable .

Requirements

To install the requirements:

$ pip3 install -r requirements.txt

To generate a "requirements" file (usually requirements.txt), that you commit with your project, do:

$ pip3 freeze > requirements.txt

Running tests with Bazel

Run all tests:

$ bazel test //...

Run single test:

$ bazel test //test:test_user