python-textfsm/python-textfsm.spec

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%global _empty_manifest_terminate_build 0
Name: python-textfsm
Version: 1.1.0
Release: 2
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Summary: Python module for parsing semi-structured text into python tables.
License: ASL 2.0
URL: https://github.com/google/textfsm
Source0: https://github.com/google/textfsm/archive/v%{version}.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-pip
BuildRequires: python3-pbr
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BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-six
BuildRequires: python3-pytest-runner
Requires: python3-future
Requires: python3-six
Requires: python3-pytest-runner
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%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-%{version}
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%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
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fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
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fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
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fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
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fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
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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
* Fri Aug 6 2021 huangtianhua <huangtianhua@huawei.com>
- Adds pip/pbr/pytest-runner as BuildRequires
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* Mon Mar 15 2021 Python_Bot <Python_Bot@openeuler.org>
- Package Spec generated