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|
%global _empty_manifest_terminate_build 0
Name: python-kedro-airflow-k8s
Version: 0.8.1
Release: 1
Summary: Kedro plugin with Airflow on Kubernetes support
License: Apache Software License (Apache 2.0)
URL: https://github.com/getindata/kedro-airflow-k8s/
Source0: https://mirrors.aliyun.com/pypi/web/packages/97/5e/53125ae1d5f9c179ff815330710d9be8b02a50828bc9775a7bfa9af5521e/kedro-airflow-k8s-0.8.1.tar.gz
BuildArch: noarch
%description
# Kedro Airflow K8S Plugin
[](https://github.com/getindata/kedro-airflow-k8s)
[](https://opensource.org/licenses/Apache-2.0)
[](https://semver.org/)
[](https://pypi.org/project/kedro-airflow-k8s/)
[](https://img.shields.io/pypi/dm/kedro-airflow-k8s)
[](https://codeclimate.com/github/getindata/kedro-airflow-k8s/maintainability)
[](https://codeclimate.com/github/getindata/kedro-airflow-k8s/test_coverage)
[](https://kedro-airflow-k8s.readthedocs.io/en/latest/?badge=latest)
## About
The main purpose of this plugin is to enable running kedro pipeline with Airflow on Kubernetes Cluster. In difference to
[kedro-airflow](https://github.com/quantumblacklabs/kedro-airflow) this plugin does not require additional libraries installed
in airflow runtime, it uses K8S infrastructure instead. It supports translation
from Kedro pipeline DSL to [airflow](https://airflow.apache.org/docs/apache-airflow/stable/python-api-ref.html) (python API)
and generation of airflow [DAGs](https://airflow.apache.org/docs/apache-airflow/stable/concepts.html#dags).
The plugin can be used together with `kedro-docker` to simplify preparation of docker image for pipeline execution.
## Documentation
For detailed documentation refer to https://kedro-airflow-k8s.readthedocs.io/
## Usage guide
```
Usage: kedro airflow-k8s [OPTIONS] COMMAND [ARGS]...
Options:
-e, --env TEXT Environment to use.
-p, --pipeline TEXT Pipeline name to pick.
-h, --help Show this message and exit.
Commands:
compile Create an Airflow DAG for a project
init Initializes configuration for the plugin
list-pipelines List pipelines generated by this plugin
run-once Uploads pipeline to Airflow and runs once
schedule Uploads pipeline to Airflow with given schedule
ui Open Apache Airflow UI in new browser tab
upload-pipeline Uploads pipeline to Airflow DAG location
```
%package -n python3-kedro-airflow-k8s
Summary: Kedro plugin with Airflow on Kubernetes support
Provides: python-kedro-airflow-k8s
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-kedro-airflow-k8s
# Kedro Airflow K8S Plugin
[](https://github.com/getindata/kedro-airflow-k8s)
[](https://opensource.org/licenses/Apache-2.0)
[](https://semver.org/)
[](https://pypi.org/project/kedro-airflow-k8s/)
[](https://img.shields.io/pypi/dm/kedro-airflow-k8s)
[](https://codeclimate.com/github/getindata/kedro-airflow-k8s/maintainability)
[](https://codeclimate.com/github/getindata/kedro-airflow-k8s/test_coverage)
[](https://kedro-airflow-k8s.readthedocs.io/en/latest/?badge=latest)
## About
The main purpose of this plugin is to enable running kedro pipeline with Airflow on Kubernetes Cluster. In difference to
[kedro-airflow](https://github.com/quantumblacklabs/kedro-airflow) this plugin does not require additional libraries installed
in airflow runtime, it uses K8S infrastructure instead. It supports translation
from Kedro pipeline DSL to [airflow](https://airflow.apache.org/docs/apache-airflow/stable/python-api-ref.html) (python API)
and generation of airflow [DAGs](https://airflow.apache.org/docs/apache-airflow/stable/concepts.html#dags).
The plugin can be used together with `kedro-docker` to simplify preparation of docker image for pipeline execution.
## Documentation
For detailed documentation refer to https://kedro-airflow-k8s.readthedocs.io/
## Usage guide
```
Usage: kedro airflow-k8s [OPTIONS] COMMAND [ARGS]...
Options:
-e, --env TEXT Environment to use.
-p, --pipeline TEXT Pipeline name to pick.
-h, --help Show this message and exit.
Commands:
compile Create an Airflow DAG for a project
init Initializes configuration for the plugin
list-pipelines List pipelines generated by this plugin
run-once Uploads pipeline to Airflow and runs once
schedule Uploads pipeline to Airflow with given schedule
ui Open Apache Airflow UI in new browser tab
upload-pipeline Uploads pipeline to Airflow DAG location
```
%package help
Summary: Development documents and examples for kedro-airflow-k8s
Provides: python3-kedro-airflow-k8s-doc
%description help
# Kedro Airflow K8S Plugin
[](https://github.com/getindata/kedro-airflow-k8s)
[](https://opensource.org/licenses/Apache-2.0)
[](https://semver.org/)
[](https://pypi.org/project/kedro-airflow-k8s/)
[](https://img.shields.io/pypi/dm/kedro-airflow-k8s)
[](https://codeclimate.com/github/getindata/kedro-airflow-k8s/maintainability)
[](https://codeclimate.com/github/getindata/kedro-airflow-k8s/test_coverage)
[](https://kedro-airflow-k8s.readthedocs.io/en/latest/?badge=latest)
## About
The main purpose of this plugin is to enable running kedro pipeline with Airflow on Kubernetes Cluster. In difference to
[kedro-airflow](https://github.com/quantumblacklabs/kedro-airflow) this plugin does not require additional libraries installed
in airflow runtime, it uses K8S infrastructure instead. It supports translation
from Kedro pipeline DSL to [airflow](https://airflow.apache.org/docs/apache-airflow/stable/python-api-ref.html) (python API)
and generation of airflow [DAGs](https://airflow.apache.org/docs/apache-airflow/stable/concepts.html#dags).
The plugin can be used together with `kedro-docker` to simplify preparation of docker image for pipeline execution.
## Documentation
For detailed documentation refer to https://kedro-airflow-k8s.readthedocs.io/
## Usage guide
```
Usage: kedro airflow-k8s [OPTIONS] COMMAND [ARGS]...
Options:
-e, --env TEXT Environment to use.
-p, --pipeline TEXT Pipeline name to pick.
-h, --help Show this message and exit.
Commands:
compile Create an Airflow DAG for a project
init Initializes configuration for the plugin
list-pipelines List pipelines generated by this plugin
run-once Uploads pipeline to Airflow and runs once
schedule Uploads pipeline to Airflow with given schedule
ui Open Apache Airflow UI in new browser tab
upload-pipeline Uploads pipeline to Airflow DAG location
```
%prep
%autosetup -n kedro-airflow-k8s-0.8.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-kedro-airflow-k8s -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.1-1
- Package Spec generated
|
