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%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
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.0-1
- Package Spec generated
|
