File python-azure-media-videoanalyzer-edge.spec of Package python-azure-media-videoanalyzer-edge

#
# spec file for package python-azure-media-videoanalyzer-edge
#
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# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

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%{?sle15_python_module_pythons}
Name:           python-azure-media-videoanalyzer-edge
Version:        1.0.0b4
Release:        0
Summary:        Microsoft Azure Video Analyzer Edge SDK Library for Python
License:        MIT
Group:          Development/Languages/Python
URL:            https://github.com/Azure/azure-sdk-for-python
Source:         https://files.pythonhosted.org/packages/source/a/azure-media-videoanalyzer-edge/azure-media-videoanalyzer-edge-%{version}.zip
Source1:        LICENSE.txt
BuildRequires:  %{python_module azure-media-nspkg >= 1.0.0}
BuildRequires:  %{python_module azure-nspkg >= 3.0.0}
BuildRequires:  %{python_module pip}
BuildRequires:  %{python_module setuptools}
BuildRequires:  %{python_module wheel}
BuildRequires:  fdupes
BuildRequires:  python-rpm-macros
BuildRequires:  unzip
Requires:       python-azure-media-nspkg >= 1.0.0
Requires:       python-azure-nspkg >= 3.0.0
Requires:       python-msrest >= 0.6.21
Requires:       (python-azure-core >= 1.2.2 with python-azure-core < 2.0.0)
Conflicts:      python-azure-sdk <= 2.0.0
%if 0%{?sle_version} >= 150400
Obsoletes:      python3-azure-media-videoanalyzer-edge <= 1.0.0b4
%endif
BuildArch:      noarch

%python_subpackages

%description
Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and
the cloud. The platform offers the capability to capture, record, and analyze live video along with
publishing the results, video and video analytics, to Azure services in the cloud or the edge. It is
designed to be an extensible platform, enabling you to connect different video analysis edge modules
(such as Cognitive services containers, custom edge modules built by you with open-source machine
 learning models or custom models trained with your own data) to it and use them to analyze live video
without worrying about the complexity of building and running a live video pipeline.

Use the client library for Video Analyzer Edge to:

* Simplify interactions with the Microsoft Azure IoT SDKs
* Programmatically construct pipeline topologies and live pipelines

%prep
%setup -q -n azure-media-videoanalyzer-edge-%{version}

%build
install -m 644 %{SOURCE1} %{_builddir}/azure-media-videoanalyzer-edge-%{version}
%pyproject_wheel

%install
%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%{python_expand # delete common files
rm -rf %{buildroot}%{$python_sitelib}/azure/media/__init__.*
rm -rf %{buildroot}%{$python_sitelib}/azure/media/__pycache__
rm -rf %{buildroot}%{$python_sitelib}/azure/__init__.*
rm -rf %{buildroot}%{$python_sitelib}/azure/__pycache__
}

%files %{python_files}
%doc CHANGELOG.md README.md
%license LICENSE.txt
%{python_sitelib}/azure/media/videoanalyzeredge
%{python_sitelib}/azure_media_videoanalyzer_edge-*.dist-info

%changelog