102 lines
3.4 KiB
Django/Jinja
102 lines
3.4 KiB
Django/Jinja
{% set pypi_name = 'osprofiler' %}
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{% set upstream_version = upstream_version('3.4.3') %}
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{% set rpm_release = '1' %}
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{% set source = url_pypi() %}
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Name: {{ py2name() }}
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Version: {{ py2rpmversion() }}
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Release: {{ py2rpmrelease() }}
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Summary: OpenStack Profiler Library
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License: {{ license('Apache-2.0') }}
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Group: Development/Languages/Python
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URL: https://docs.openstack.org/osprofiler
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Source0: {{ source }}
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BuildRequires: openstack-macros
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BuildRequires: {{ py3('PrettyTable') }}
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BuildRequires: {{ py3('WebOb') }}
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BuildRequires: {{ py3('ddt') }}
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BuildRequires: {{ py3('docutils') }}
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BuildRequires: {{ py3('elasticsearch') }}
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BuildRequires: {{ py3('importlib-metadata') }}
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BuildRequires: {{ py3('oslo.concurrency') }}
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BuildRequires: {{ py3('oslo.config') }}
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BuildRequires: {{ py3('oslo.log') }}
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BuildRequires: {{ py3('oslo.utils') }}
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BuildRequires: {{ py3('pymongo') }}
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BuildRequires: {{ py3('python-subunit') }}
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BuildRequires: {{ py3('redis') }}
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BuildRequires: {{ py3('stestr') }}
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BuildRequires: {{ py3('testtools') }}
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BuildArch: noarch
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%description
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OSProfiler provides a tiny but powerful library that is used by
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most (soon to be all) OpenStack projects and their python clients. It
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provides functionality to be able to generate 1 trace per request, that goes
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through all involved services. This trace can then be extracted and used
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to build a tree of calls which can be quite handy for a variety of
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reasons (for example in isolating cross-project performance issues).
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%package -n {{ py2name(py_versions='py3') }}
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Summary: OpenStack Profiler Library
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Requires: {{ py3('PrettyTable') }}
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Requires: {{ py3('WebOb') }}
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Requires: {{ py3('importlib-metadata') }}
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Requires: {{ py3('oslo.concurrency') }}
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Requires: {{ py3('oslo.config') }}
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Requires: {{ py3('oslo.log') }}
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Requires: {{ py3('oslo.utils') }}
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%if 0%{?suse_version}
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Obsoletes: {{ py2name(py_versions='py2') }} < 3.0.0
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%endif
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%description -n {{ py2name(py_versions='py3') }}
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OSProfiler provides a tiny but powerful library that is used by
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most (soon to be all) OpenStack projects and their python clients. It
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provides functionality to be able to generate 1 trace per request, that goes
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through all involved services. This trace can then be extracted and used
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to build a tree of calls which can be quite handy for a variety of
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reasons (for example in isolating cross-project performance issues).
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This package contains the Python 3.x module
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%package -n python-osprofiler-doc
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Summary: Documentation for OSProfiler
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BuildRequires: {{ py3('Sphinx') }}
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BuildRequires: {{ py3('openstackdocstheme') }}
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BuildRequires: {{ py3('sphinxcontrib-apidoc') }}
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%description -n python-osprofiler-doc
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Documentation for OSProfiler.
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%prep
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%autosetup -p1 -n {{ pypi_name }}-{{ upstream_version }}
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%py_req_cleanup
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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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# generate html docs
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PBR_VERSION=%{version} %sphinx_build -b html doc/source doc/build/html
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# remove the sphinx-build leftovers
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rm -rf doc/build/html/.{doctrees,buildinfo}
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%check
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python3 -m stestr.cli run --black-regex '(^osprofiler.tests.unit.drivers.test_jaeger.JaegerTestCase.*$)'
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%files -n {{ py2name(py_versions='py3') }}
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%license LICENSE
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%doc README.rst ChangeLog
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%{python3_sitelib}/osprofiler
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%{python3_sitelib}/*.egg-info
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%{_bindir}/osprofiler
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%files -n python-osprofiler-doc
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%license LICENSE
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%doc doc/build/html
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%changelog
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