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%global _empty_manifest_terminate_build 0
Name: python-sentry-arroyo
Version: 2.11.4
Release: 1
Summary: Arroyo is a Python library for working with streaming data.
License: Apache-2.0
URL: https://github.com/getsentry/arroyo
Source0: https://mirrors.aliyun.com/pypi/web/packages/d7/0c/4b2dbac2dc6302937d39fcd05371151a0500f3d6574e87c53b0d674ea652/sentry-arroyo-2.11.4.tar.gz
BuildArch: noarch
Requires: python3-confluent-kafka
%description
# Arroyo
`Arroyo` is a library to build streaming applications that consume from and produce to Kafka.
Arroyo consists of three components:
* Consumer and producer backends
- The Kafka backend is a wrapper around the librdkafka client, and attempts to simplify rebalancing and offset management even further
- There is also an in memory and a file based consumer and producer implementation that can be used for testing
* A strategy interface
- Arroyo includes a number of pre-built strategies such as `RunTask`, `Filter`, `Reduce`, `CommitOffsets` and more.
- Users can write their own strategies, though in most cases this should not be needed as the library aims to provide generic, reusable strategies that cover most stream processing use cases
- Strategies can be chained together to form complex message processing pipelines.
* A streaming engine which manages the relationship between the consumer and strategies
- The `StreamProcessor` controls progress by the consumer and schedules work for execution by the strategies.
All documentation is in the `docs` directory. It is hosted at https://getsentry.github.io/arroyo/ and can be built locally by running `make docs`
%package -n python3-sentry-arroyo
Summary: Arroyo is a Python library for working with streaming data.
Provides: python-sentry-arroyo
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-sentry-arroyo
# Arroyo
`Arroyo` is a library to build streaming applications that consume from and produce to Kafka.
Arroyo consists of three components:
* Consumer and producer backends
- The Kafka backend is a wrapper around the librdkafka client, and attempts to simplify rebalancing and offset management even further
- There is also an in memory and a file based consumer and producer implementation that can be used for testing
* A strategy interface
- Arroyo includes a number of pre-built strategies such as `RunTask`, `Filter`, `Reduce`, `CommitOffsets` and more.
- Users can write their own strategies, though in most cases this should not be needed as the library aims to provide generic, reusable strategies that cover most stream processing use cases
- Strategies can be chained together to form complex message processing pipelines.
* A streaming engine which manages the relationship between the consumer and strategies
- The `StreamProcessor` controls progress by the consumer and schedules work for execution by the strategies.
All documentation is in the `docs` directory. It is hosted at https://getsentry.github.io/arroyo/ and can be built locally by running `make docs`
%package help
Summary: Development documents and examples for sentry-arroyo
Provides: python3-sentry-arroyo-doc
%description help
# Arroyo
`Arroyo` is a library to build streaming applications that consume from and produce to Kafka.
Arroyo consists of three components:
* Consumer and producer backends
- The Kafka backend is a wrapper around the librdkafka client, and attempts to simplify rebalancing and offset management even further
- There is also an in memory and a file based consumer and producer implementation that can be used for testing
* A strategy interface
- Arroyo includes a number of pre-built strategies such as `RunTask`, `Filter`, `Reduce`, `CommitOffsets` and more.
- Users can write their own strategies, though in most cases this should not be needed as the library aims to provide generic, reusable strategies that cover most stream processing use cases
- Strategies can be chained together to form complex message processing pipelines.
* A streaming engine which manages the relationship between the consumer and strategies
- The `StreamProcessor` controls progress by the consumer and schedules work for execution by the strategies.
All documentation is in the `docs` directory. It is hosted at https://getsentry.github.io/arroyo/ and can be built locally by running `make docs`
%prep
%autosetup -n sentry-arroyo-2.11.4
%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-sentry-arroyo -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.11.4-1
- Package Spec generated
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