124 lines
5.1 KiB
RPMSpec
124 lines
5.1 KiB
RPMSpec
%global _empty_manifest_terminate_build 0
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Name: python-textfsm
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Version: 1.1.0
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Release: 3
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Summary: Python module for parsing semi-structured text into python tables.
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License: ASL 2.0
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URL: https://github.com/google/textfsm
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Source0: https://github.com/google/textfsm/archive/v%{version}.tar.gz
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BuildArch: noarch
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%description
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Python module which implements a template based state machine for parsing
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semi-formatted text. Originally developed to allow programmatic access to
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information returned from the command line interface (CLI) of networking
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devices.
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The engine takes two inputs - a template file, and text input (such as command
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responses from the CLI of a device) and returns a list of records that contains
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the data parsed from the text.
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A template file is needed for each uniquely structured text input. Some examples
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are provided with the code and users are encouraged to develop their own.
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By developing a pool of template files, scripts can call TextFSM to parse useful
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information from a variety of sources. It is also possible to use different
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templates on the same data in order to create different tables (or views).
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TextFSM was developed internally at Google and released under the Apache 2.0
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licence for the benefit of the wider community.
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[**See documentation for more details.**](https://github.com/google/textfsm/wiki/TextFSM)
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%package -n python3-textfsm
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Summary: Python module for parsing semi-structured text into python tables.
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Provides: python-textfsm
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BuildRequires: python3-pip
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BuildRequires: python3-devel
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BuildRequires: python3-setuptools
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BuildRequires: python3-six
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Requires: python3-future
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Requires: python3-six
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Requires: python3-pytest-runner
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%description -n python3-textfsm
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Python module which implements a template based state machine for parsing
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semi-formatted text. Originally developed to allow programmatic access to
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information returned from the command line interface (CLI) of networking
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devices.
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The engine takes two inputs - a template file, and text input (such as command
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responses from the CLI of a device) and returns a list of records that contains
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the data parsed from the text.
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A template file is needed for each uniquely structured text input. Some examples
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are provided with the code and users are encouraged to develop their own.
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By developing a pool of template files, scripts can call TextFSM to parse useful
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information from a variety of sources. It is also possible to use different
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templates on the same data in order to create different tables (or views).
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TextFSM was developed internally at Google and released under the Apache 2.0
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licence for the benefit of the wider community.
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[**See documentation for more details.**](https://github.com/google/textfsm/wiki/TextFSM)
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%package help
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Summary: Development documents and examples for textfsm
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Provides: python3-textfsm-doc
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%description help
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Python module which implements a template based state machine for parsing
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semi-formatted text. Originally developed to allow programmatic access to
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information returned from the command line interface (CLI) of networking
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devices.
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The engine takes two inputs - a template file, and text input (such as command
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responses from the CLI of a device) and returns a list of records that contains
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the data parsed from the text.
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A template file is needed for each uniquely structured text input. Some examples
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are provided with the code and users are encouraged to develop their own.
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By developing a pool of template files, scripts can call TextFSM to parse useful
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information from a variety of sources. It is also possible to use different
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templates on the same data in order to create different tables (or views).
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TextFSM was developed internally at Google and released under the Apache 2.0
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licence for the benefit of the wider community.
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[**See documentation for more details.**](https://github.com/google/textfsm/wiki/TextFSM)
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%prep
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%autosetup -n textfsm-%{version}
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%build
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%py3_build
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%install
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%py3_install
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install -d -m755 %{buildroot}/%{_pkgdocdir}
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if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
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if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
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if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
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if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
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pushd %{buildroot}
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if [ -d usr/lib ]; then
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find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
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fi
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if [ -d usr/lib64 ]; then
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find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
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fi
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if [ -d usr/bin ]; then
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find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
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fi
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if [ -d usr/sbin ]; then
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find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
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fi
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touch doclist.lst
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if [ -d usr/share/man ]; then
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find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
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fi
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popd
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mv %{buildroot}/filelist.lst .
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mv %{buildroot}/doclist.lst .
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%files -n python3-textfsm -f filelist.lst
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%dir %{python3_sitelib}/*
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%files help -f doclist.lst
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%{_docdir}/*
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%changelog
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* Thu Mar 3 2022 zhaoshuang <zhaoshuang@uniontech.com>
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- remove some unnecessary buildrequires
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* Fri Aug 6 2021 huangtianhua <huangtianhua@huawei.com>
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- Adds pip/pbr/pytest-runner as BuildRequires
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* Mon Mar 15 2021 Python_Bot <Python_Bot@openeuler.org>
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- Package Spec generated
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