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kiara 0.5.12
kiara
A data-centric workflow orchestration framework.
kiara user documentation: https://dharpa.org/kiara.documentation
Code: https://github.com/DHARPA-Project/kiara
Development documentation for this repo: https://dharpa.org/kiara
Description
Kiara is the data orchestration engine developed by the DHARPA project. It uses a modular approach
to let users re-use tried and tested data orchestration pipelines, as well as create new ones from existing building
blocks. It also helps you manage your research data, and augment it with automatically-, semi-automatically-, and manually-
created metadata. Most of this is not yet implemented.
Development
Requirements
Python (version >=3.6 -- some make targets only work for Python >=3.7, but kiara itself should work on 3.6)
pip, virtualenv
git
make
direnv (optional)
Prepare development environment
git clone https://github.com/DHARPA-Project/kiara.git
cd kiara
python3 -m venv .venv
source .venv/bin/activate
make init
If you use direnv, you can alternatively do:
git clone https://github.com/DHARPA-Project/kiara.git
cd kiara
cp .envrc.disabled .envrc
direnv allow
make init
Note: you might want to adjust the Python version in .envrc (should not be necessary in most cases though)
make targets
init: init development project (install project & dev dependencies into virtualenv, as well as pre-commit git hook)
update-modules: update default kiara modules package from git
flake: run flake8 tests
mypy: run mypy tests
test: run unit tests
docs: create static documentation pages (under build/site)
serve-docs: serve documentation pages (incl. auto-reload) for getting direct feedback when working on documentation
clean: clean build directories
For details (and other, minor targets), check the Makefile.
Running tests
> make test
# or
> make coverage
Copyright & license
This project is MPL v2.0 licensed, for the license text please check the LICENSE file in this repository.
Copyright (c) 2021, 2022 DHARPA project
Copyright (c) 2021, 2022 Markus Binsteiner
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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