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diff --git a/python-pecos.spec b/python-pecos.spec new file mode 100644 index 0000000..2bb6d08 --- /dev/null +++ b/python-pecos.spec @@ -0,0 +1,127 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pecos +Version: 0.2.0 +Release: 1 +Summary: Python package for performance monitoring of time series data. +License: Revised BSD +URL: https://github.com/sandialabs/pecos +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a9/10/4058e4724fcd2c8e22a7158f754f85a02e663ee99b5e5dbcc87d61d73b96/pecos-0.2.0.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-matplotlib +Requires: python3-jinja2 + +%description +[](https://travis-ci.org/sandialabs/pecos) +[](https://coveralls.io/github/sandialabs/pecos?branch=master) +[](https://pecos.readthedocs.io/en/stable/?badge=stable) +[](https://pepy.tech/project/pecos) +Advances in sensor technology have rapidly increased our ability to monitor +natural and human-made physical systems. In many cases, it is critical to +process the resulting large volumes of data on a regular schedule and alert +system operators when the system has changed. Automated quality control and +performance monitoring can allow system operators to quickly detect performance +issues. +Pecos is an open source Python package designed to address this need. Pecos +includes built-in functionality to monitor performance of time series data, +subject to a series of quality control tests. The Python package includes +methods to run quality control tests defined by the user and generate reports +which include performance metrics, test results, and graphics. The software was +developed specifically for solar photovoltaic system monitoring, but is +designed to be used for a wide range of applications. +For more information, go to http://pecos.readthedocs.io + +%package -n python3-pecos +Summary: Python package for performance monitoring of time series data. +Provides: python-pecos +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pecos +[](https://travis-ci.org/sandialabs/pecos) +[](https://coveralls.io/github/sandialabs/pecos?branch=master) +[](https://pecos.readthedocs.io/en/stable/?badge=stable) +[](https://pepy.tech/project/pecos) +Advances in sensor technology have rapidly increased our ability to monitor +natural and human-made physical systems. In many cases, it is critical to +process the resulting large volumes of data on a regular schedule and alert +system operators when the system has changed. Automated quality control and +performance monitoring can allow system operators to quickly detect performance +issues. +Pecos is an open source Python package designed to address this need. Pecos +includes built-in functionality to monitor performance of time series data, +subject to a series of quality control tests. The Python package includes +methods to run quality control tests defined by the user and generate reports +which include performance metrics, test results, and graphics. The software was +developed specifically for solar photovoltaic system monitoring, but is +designed to be used for a wide range of applications. +For more information, go to http://pecos.readthedocs.io + +%package help +Summary: Development documents and examples for pecos +Provides: python3-pecos-doc +%description help +[](https://travis-ci.org/sandialabs/pecos) +[](https://coveralls.io/github/sandialabs/pecos?branch=master) +[](https://pecos.readthedocs.io/en/stable/?badge=stable) +[](https://pepy.tech/project/pecos) +Advances in sensor technology have rapidly increased our ability to monitor +natural and human-made physical systems. In many cases, it is critical to +process the resulting large volumes of data on a regular schedule and alert +system operators when the system has changed. Automated quality control and +performance monitoring can allow system operators to quickly detect performance +issues. +Pecos is an open source Python package designed to address this need. Pecos +includes built-in functionality to monitor performance of time series data, +subject to a series of quality control tests. The Python package includes +methods to run quality control tests defined by the user and generate reports +which include performance metrics, test results, and graphics. The software was +developed specifically for solar photovoltaic system monitoring, but is +designed to be used for a wide range of applications. +For more information, go to http://pecos.readthedocs.io + +%prep +%autosetup -n pecos-0.2.0 + +%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-pecos -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.0-1 +- Package Spec generated |