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authorCoprDistGit <infra@openeuler.org>2023-06-20 06:01:07 +0000
committerCoprDistGit <infra@openeuler.org>2023-06-20 06:01:07 +0000
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+%global _empty_manifest_terminate_build 0
+Name: python-batchkit
+Version: 0.9.14
+Release: 1
+Summary: Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of arbitrary work items against many endpoints. Extensible via dependency injection.
+License: MIT
+URL: https://github.com/microsoft/batch-processing-kit
+Source0: https://mirrors.aliyun.com/pypi/web/packages/69/91/fcc0612ea3be57232510057f0d8cde37d679b98680856cae384e8cb191a7/batchkit-0.9.14.tar.gz
+BuildArch: noarch
+
+Requires: python3-requests
+Requires: python3-Cerberus
+Requires: python3-deepdiff
+Requires: python3-PyYAML
+Requires: python3-mock
+Requires: python3-Flask
+Requires: python3-jsonpickle
+Requires: python3-psutil
+Requires: python3-pyinotify
+
+%description
+# Introduction
+
+Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of
+arbitrary work items against many endpoints. Extensible via dependency injection. Worker endpoints can be local,
+remote, containers, cloud APIs, different processes, or even just different listener sockets in the same process.
+
+Includes examples against Azure Cognitive Service containers for ML eval workloads.
+
+# Consuming
+
+The framework can be built on via template method pattern and dependency injection. One simply needs to provide concrete implementation for the following types:
+
+`WorkItemRequest`: Encapsulates all the details needed by the `WorkItemProcessor` to process a work item.
+
+`WorkItemResult`: Representation of the outcome of an attempt to process a `WorkItemRequest`.
+
+`WorkItemProcessor`: Provides implementation on how to process a `WorkItemRequest` against an endpoint.
+
+`BatchRequest`: Represents a batch of work items to do. Produces a collection of `WorkItemRequest`s.
+
+`BatchConfig`: Details needed for a `BatchRequest` to produce the collection of `WorkItemRequest`s.
+
+`BatchRunSummarizer`: Implements a near-real-time status updater based on `WorkItemResult`s as the batch progresses.
+
+`EndpointStatusChecker`: Specifies how to determine whether an endpoint is healthy and ready to take on work from a `WorkItemProcessor`.
+
+
+The [Speech Batch Kit](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md) is currently our prime example for consuming the framework.
+
+The `batchkit` package is available as an ordinary pypi package. See versions here: https://pypi.org/project/batchkit
+
+# Dev Environment
+
+This project is developed for and consumed in Linux environments. Consumers also use WSL2, and other POSIX platforms may be compatible but are untested. For development and deployment outside of a container, we recommend using a Python virtual environment to install the `requirements.txt`. The [Speech Batch Kit](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md) example [builds a container](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/build-docker).
+
+## Tests
+
+This project uses both unit tests `run-tests` and stress tests `run-stress-tests` for functional verification.
+
+## Building
+
+There are currently 3 artifacts:
+
+- The pypi library of the batchkit framework as a library.
+
+
+- The pypi library of the batchkit-examples-speechsdk.
+- Docker container image for speech-batch-kit.
+
+
+# Examples
+
+### Speech Batch Kit
+The Speech Batch Kit (batchkit_examples/speech_sdk) uses the framework to produce a tool that can be used for
+transcription of very large numbers of audio files against Azure Cognitive Service Speech containers or cloud endpoints.
+
+For introduction, see the [Azure Cognitive Services page](https://docs.microsoft.com/azure/cognitive-services/speech-service/speech-container-batch-processing).
+
+For detailed information, see the [Speech Batch Kit's README](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md).
+
+# Contributing
+
+This project welcomes contributions and suggestions. Most contributions require you to
+agree to a Contributor License Agreement (CLA) declaring that you have the right to,
+and actually do, grant us the rights to use your contribution. For details, visit
+https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need
+to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the
+instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+
+
+
+%package -n python3-batchkit
+Summary: Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of arbitrary work items against many endpoints. Extensible via dependency injection.
+Provides: python-batchkit
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-batchkit
+# Introduction
+
+Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of
+arbitrary work items against many endpoints. Extensible via dependency injection. Worker endpoints can be local,
+remote, containers, cloud APIs, different processes, or even just different listener sockets in the same process.
+
+Includes examples against Azure Cognitive Service containers for ML eval workloads.
+
+# Consuming
+
+The framework can be built on via template method pattern and dependency injection. One simply needs to provide concrete implementation for the following types:
+
+`WorkItemRequest`: Encapsulates all the details needed by the `WorkItemProcessor` to process a work item.
+
+`WorkItemResult`: Representation of the outcome of an attempt to process a `WorkItemRequest`.
+
+`WorkItemProcessor`: Provides implementation on how to process a `WorkItemRequest` against an endpoint.
+
+`BatchRequest`: Represents a batch of work items to do. Produces a collection of `WorkItemRequest`s.
+
+`BatchConfig`: Details needed for a `BatchRequest` to produce the collection of `WorkItemRequest`s.
+
+`BatchRunSummarizer`: Implements a near-real-time status updater based on `WorkItemResult`s as the batch progresses.
+
+`EndpointStatusChecker`: Specifies how to determine whether an endpoint is healthy and ready to take on work from a `WorkItemProcessor`.
+
+
+The [Speech Batch Kit](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md) is currently our prime example for consuming the framework.
+
+The `batchkit` package is available as an ordinary pypi package. See versions here: https://pypi.org/project/batchkit
+
+# Dev Environment
+
+This project is developed for and consumed in Linux environments. Consumers also use WSL2, and other POSIX platforms may be compatible but are untested. For development and deployment outside of a container, we recommend using a Python virtual environment to install the `requirements.txt`. The [Speech Batch Kit](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md) example [builds a container](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/build-docker).
+
+## Tests
+
+This project uses both unit tests `run-tests` and stress tests `run-stress-tests` for functional verification.
+
+## Building
+
+There are currently 3 artifacts:
+
+- The pypi library of the batchkit framework as a library.
+
+
+- The pypi library of the batchkit-examples-speechsdk.
+- Docker container image for speech-batch-kit.
+
+
+# Examples
+
+### Speech Batch Kit
+The Speech Batch Kit (batchkit_examples/speech_sdk) uses the framework to produce a tool that can be used for
+transcription of very large numbers of audio files against Azure Cognitive Service Speech containers or cloud endpoints.
+
+For introduction, see the [Azure Cognitive Services page](https://docs.microsoft.com/azure/cognitive-services/speech-service/speech-container-batch-processing).
+
+For detailed information, see the [Speech Batch Kit's README](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md).
+
+# Contributing
+
+This project welcomes contributions and suggestions. Most contributions require you to
+agree to a Contributor License Agreement (CLA) declaring that you have the right to,
+and actually do, grant us the rights to use your contribution. For details, visit
+https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need
+to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the
+instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+
+
+
+%package help
+Summary: Development documents and examples for batchkit
+Provides: python3-batchkit-doc
+%description help
+# Introduction
+
+Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of
+arbitrary work items against many endpoints. Extensible via dependency injection. Worker endpoints can be local,
+remote, containers, cloud APIs, different processes, or even just different listener sockets in the same process.
+
+Includes examples against Azure Cognitive Service containers for ML eval workloads.
+
+# Consuming
+
+The framework can be built on via template method pattern and dependency injection. One simply needs to provide concrete implementation for the following types:
+
+`WorkItemRequest`: Encapsulates all the details needed by the `WorkItemProcessor` to process a work item.
+
+`WorkItemResult`: Representation of the outcome of an attempt to process a `WorkItemRequest`.
+
+`WorkItemProcessor`: Provides implementation on how to process a `WorkItemRequest` against an endpoint.
+
+`BatchRequest`: Represents a batch of work items to do. Produces a collection of `WorkItemRequest`s.
+
+`BatchConfig`: Details needed for a `BatchRequest` to produce the collection of `WorkItemRequest`s.
+
+`BatchRunSummarizer`: Implements a near-real-time status updater based on `WorkItemResult`s as the batch progresses.
+
+`EndpointStatusChecker`: Specifies how to determine whether an endpoint is healthy and ready to take on work from a `WorkItemProcessor`.
+
+
+The [Speech Batch Kit](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md) is currently our prime example for consuming the framework.
+
+The `batchkit` package is available as an ordinary pypi package. See versions here: https://pypi.org/project/batchkit
+
+# Dev Environment
+
+This project is developed for and consumed in Linux environments. Consumers also use WSL2, and other POSIX platforms may be compatible but are untested. For development and deployment outside of a container, we recommend using a Python virtual environment to install the `requirements.txt`. The [Speech Batch Kit](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md) example [builds a container](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/build-docker).
+
+## Tests
+
+This project uses both unit tests `run-tests` and stress tests `run-stress-tests` for functional verification.
+
+## Building
+
+There are currently 3 artifacts:
+
+- The pypi library of the batchkit framework as a library.
+
+
+- The pypi library of the batchkit-examples-speechsdk.
+- Docker container image for speech-batch-kit.
+
+
+# Examples
+
+### Speech Batch Kit
+The Speech Batch Kit (batchkit_examples/speech_sdk) uses the framework to produce a tool that can be used for
+transcription of very large numbers of audio files against Azure Cognitive Service Speech containers or cloud endpoints.
+
+For introduction, see the [Azure Cognitive Services page](https://docs.microsoft.com/azure/cognitive-services/speech-service/speech-container-batch-processing).
+
+For detailed information, see the [Speech Batch Kit's README](https://github.com/microsoft/batch-processing-kit/blob/master/batchkit_examples/speech_sdk/README.md).
+
+# Contributing
+
+This project welcomes contributions and suggestions. Most contributions require you to
+agree to a Contributor License Agreement (CLA) declaring that you have the right to,
+and actually do, grant us the rights to use your contribution. For details, visit
+https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need
+to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the
+instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+
+
+
+%prep
+%autosetup -n batchkit-0.9.14
+
+%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-batchkit -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.14-1
+- Package Spec generated