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%global _empty_manifest_terminate_build 0
Name:		python-ls-trace
Version:	0.2.1
Release:	1
Summary:	Datadog tracing code
License:	BSD
URL:		https://github.com/lightstep/ls-trace-py
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/1e/08/9c900301629677e1a1419679911d9428419aff4f5853b8357b2f8c7ed085/ls-trace-0.2.1.tar.gz
BuildArch:	noarch

Requires:	python3-backoff
Requires:	python3-googleapis-common-protos
Requires:	python3-msgpack
Requires:	python3-protobuf
Requires:	python3-requests
Requires:	python3-enum34
Requires:	python3-funcsigs
Requires:	python3-opentracing
Requires:	python3-protobuf
Requires:	python3-intervaltree

%description
# ls-trace-py

Datadog has generously announced the [donation][donation post] of their tracer libraries
to the [OpenTelemety][opentelemetry docs] project. Auto-instrumentation
is a core feature of these libraries, making it possible to create and
collect telemetry data without needing to change your code. LightStep
wants you to be able to use these libraries now! We've forked the Datadog
libraries into the LightStep repo as agents. You can install and use these agents to take advantage of
auto-instrumentation without waiting for OpenTelemetry. Each LightStep agent
is "pinned" to a Datadog release and is fully supported by LightStep's
Customer Success team.

Simply install the agent, configure it to communicate with LightStep
Satellites, run your app, and then any [frameworks][framework docs], [data stores][datastore docs],
and [libraries][libs] included in your app will send data to LightStep as distributed traces.

[donation post]: https://www.datadoghq.com/blog/opentelemetry-instrumentation/
[opentelemetry docs]: https://opentelemetry.io/
[framework docs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-frameworks
[datastore docs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-data-stores
[libs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-libraries




%package -n python3-ls-trace
Summary:	Datadog tracing code
Provides:	python-ls-trace
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-ls-trace
# ls-trace-py

Datadog has generously announced the [donation][donation post] of their tracer libraries
to the [OpenTelemety][opentelemetry docs] project. Auto-instrumentation
is a core feature of these libraries, making it possible to create and
collect telemetry data without needing to change your code. LightStep
wants you to be able to use these libraries now! We've forked the Datadog
libraries into the LightStep repo as agents. You can install and use these agents to take advantage of
auto-instrumentation without waiting for OpenTelemetry. Each LightStep agent
is "pinned" to a Datadog release and is fully supported by LightStep's
Customer Success team.

Simply install the agent, configure it to communicate with LightStep
Satellites, run your app, and then any [frameworks][framework docs], [data stores][datastore docs],
and [libraries][libs] included in your app will send data to LightStep as distributed traces.

[donation post]: https://www.datadoghq.com/blog/opentelemetry-instrumentation/
[opentelemetry docs]: https://opentelemetry.io/
[framework docs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-frameworks
[datastore docs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-data-stores
[libs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-libraries




%package help
Summary:	Development documents and examples for ls-trace
Provides:	python3-ls-trace-doc
%description help
# ls-trace-py

Datadog has generously announced the [donation][donation post] of their tracer libraries
to the [OpenTelemety][opentelemetry docs] project. Auto-instrumentation
is a core feature of these libraries, making it possible to create and
collect telemetry data without needing to change your code. LightStep
wants you to be able to use these libraries now! We've forked the Datadog
libraries into the LightStep repo as agents. You can install and use these agents to take advantage of
auto-instrumentation without waiting for OpenTelemetry. Each LightStep agent
is "pinned" to a Datadog release and is fully supported by LightStep's
Customer Success team.

Simply install the agent, configure it to communicate with LightStep
Satellites, run your app, and then any [frameworks][framework docs], [data stores][datastore docs],
and [libraries][libs] included in your app will send data to LightStep as distributed traces.

[donation post]: https://www.datadoghq.com/blog/opentelemetry-instrumentation/
[opentelemetry docs]: https://opentelemetry.io/
[framework docs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-frameworks
[datastore docs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-data-stores
[libs]: https://docs.lightstep.com/docs/python-auto-instrumentation#section-libraries




%prep
%autosetup -n ls-trace-0.2.1

%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-ls-trace -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.1-1
- Package Spec generated