!13 Update package textfsm of version 1.1.2

From: @han-guangyu 
Reviewed-by: @huangtianhua 
Signed-off-by: @huangtianhua

python-textfsm.spec

@@ -1,36 +1,27 @@
 %global _empty_manifest_terminate_build 0
-Name:		python-textfsm
+Name:           python-textfsm
-Version:	1.1.0
+Version:        1.1.2
-Release:	3
+Release:        1
-Summary:	Python module for parsing semi-structured text into python tables.
+Summary:        Python module for parsing semi-structured text into python tables.
-License:	ASL 2.0
+License:        Apache-2.0
-URL:		https://github.com/google/textfsm
+URL:            https://github.com/google/textfsm
-Source0:	https://github.com/google/textfsm/archive/v%{version}.tar.gz
+Source0:        https://files.pythonhosted.org/packages/9f/53/fa46575d30be6aa591712aa9c44caa7fa9f057f3bb726fe42519a5ae2d8e/textfsm-1.1.2.tar.gz
-BuildArch:	noarch
+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.
+Summary:        Python module for parsing semi-structured text into python tables.
-Provides:	python-textfsm
+Provides:       python-textfsm
+# Base build requires
+BuildRequires:  python3-devel
+BuildRequires:  python3-setuptools
+BuildRequires:  python3-pbr
 BuildRequires:  python3-pip
-BuildRequires:	python3-devel
+BuildRequires:  python3-wheel
-BuildRequires:	python3-setuptools
 BuildRequires:  python3-six
 Requires:       python3-future
 Requires:       python3-six
@@ -40,37 +31,15 @@ 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
+Summary:        Python module for parsing semi-structured text into python tables.
-Provides:	python3-textfsm-doc
+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}
@@ -80,6 +49,7 @@ licence for the benefit of the wider community.
 
 %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
@@ -113,6 +83,9 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
+* Wed May 18 2022 OpenStack_SIG <openstack@openeuler.org> - 1.1.2-1
+- Upgrade package python3-textfsm to version 1.1.2
+
 * Thu Mar 3 2022 zhaoshuang <zhaoshuang@uniontech.com>
 - remove some unnecessary buildrequires