%global _empty_manifest_terminate_build 0 Name: python-birgitta Version: 0.1.37 Release: 1 Summary: Pyspark and notebook unit testing, especially focused on Dataiku. License: MIT URL: https://github.com/telia-oss/birgitta Source0: https://mirrors.nju.edu.cn/pypi/web/packages/09/f6/c5f082c9f8191497fc541efa285be31836e9041d8d7f6e66791a12727e57/birgitta-0.1.37.tar.gz BuildArch: noarch Requires: python3-docopt Requires: python3-numpy Requires: python3-pyspark Requires: python3-mock Requires: python3-pandas Requires: python3-pyarrow Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-mock Requires: python3-holidays %description Birgitta is a Python ETL test and schema framework, providing automated tests for pyspark notebooks/recipes. Birgitta allows doing solid ETL and ML, while still liberally allowing imperfect notebook code, enabling a `DataOps ` way of working which is both solid and agile, not killing Data Scientist flexibility by excessive coding standards in notebooks. In addition to running recipetests on your local dev machine or on a CI/CD server, there is support for running recipetests as [Dataiku](https://www.dataiku.com] DSS Scenarios. %package -n python3-birgitta Summary: Pyspark and notebook unit testing, especially focused on Dataiku. Provides: python-birgitta BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-birgitta Birgitta is a Python ETL test and schema framework, providing automated tests for pyspark notebooks/recipes. Birgitta allows doing solid ETL and ML, while still liberally allowing imperfect notebook code, enabling a `DataOps ` way of working which is both solid and agile, not killing Data Scientist flexibility by excessive coding standards in notebooks. In addition to running recipetests on your local dev machine or on a CI/CD server, there is support for running recipetests as [Dataiku](https://www.dataiku.com] DSS Scenarios. %package help Summary: Development documents and examples for birgitta Provides: python3-birgitta-doc %description help Birgitta is a Python ETL test and schema framework, providing automated tests for pyspark notebooks/recipes. Birgitta allows doing solid ETL and ML, while still liberally allowing imperfect notebook code, enabling a `DataOps ` way of working which is both solid and agile, not killing Data Scientist flexibility by excessive coding standards in notebooks. In addition to running recipetests on your local dev machine or on a CI/CD server, there is support for running recipetests as [Dataiku](https://www.dataiku.com] DSS Scenarios. %prep %autosetup -n birgitta-0.1.37 %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-birgitta -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 0.1.37-1 - Package Spec generated