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%global _empty_manifest_terminate_build 0
Name: python-textfsm
Version: 1.1.3
Release: 1
Summary: Python module for parsing semi-structured text into python tables.
License: Apache License, Version 2.0
URL: https://github.com/google/textfsm
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b8/bf/c9147d29c5a3ff4c1c876e16ea02f6d4e4f35ba1bcbb2ac80a254924f0aa/textfsm-1.1.3.tar.gz
BuildArch: noarch
%description
Python module which implements a template based state machine for parsing
semi-formatted text. Originally developed to allow programmatic access to
information returned from the command line interface (CLI) of networking
devices.
The engine takes two inputs - a template file, and text input (such as command
responses from the CLI of a device) and returns a list of records that contains
the data parsed from the text.
A template file is needed for each uniquely structured text input. Some examples
are provided with the code and users are encouraged to develop their own.
By developing a pool of template files, scripts can call TextFSM to parse useful
information from a variety of sources. It is also possible to use different
templates on the same data in order to create different tables (or views).
TextFSM was developed internally at Google and released under the Apache 2.0
licence for the benefit of the wider community.
[**See documentation for more details.**](https://github.com/google/textfsm/wiki/TextFSM)
%package -n python3-textfsm
Summary: Python module for parsing semi-structured text into python tables.
Provides: python-textfsm
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-textfsm
Python module which implements a template based state machine for parsing
semi-formatted text. Originally developed to allow programmatic access to
information returned from the command line interface (CLI) of networking
devices.
The engine takes two inputs - a template file, and text input (such as command
responses from the CLI of a device) and returns a list of records that contains
the data parsed from the text.
A template file is needed for each uniquely structured text input. Some examples
are provided with the code and users are encouraged to develop their own.
By developing a pool of template files, scripts can call TextFSM to parse useful
information from a variety of sources. It is also possible to use different
templates on the same data in order to create different tables (or views).
TextFSM was developed internally at Google and released under the Apache 2.0
licence for the benefit of the wider community.
[**See documentation for more details.**](https://github.com/google/textfsm/wiki/TextFSM)
%package help
Summary: Development documents and examples for textfsm
Provides: python3-textfsm-doc
%description help
Python module which implements a template based state machine for parsing
semi-formatted text. Originally developed to allow programmatic access to
information returned from the command line interface (CLI) of networking
devices.
The engine takes two inputs - a template file, and text input (such as command
responses from the CLI of a device) and returns a list of records that contains
the data parsed from the text.
A template file is needed for each uniquely structured text input. Some examples
are provided with the code and users are encouraged to develop their own.
By developing a pool of template files, scripts can call TextFSM to parse useful
information from a variety of sources. It is also possible to use different
templates on the same data in order to create different tables (or views).
TextFSM was developed internally at Google and released under the Apache 2.0
licence for the benefit of the wider community.
[**See documentation for more details.**](https://github.com/google/textfsm/wiki/TextFSM)
%prep
%autosetup -n textfsm-1.1.3
%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-textfsm -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Mar 09 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.3-1
- Package Spec generated
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