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|
%global _empty_manifest_terminate_build 0
Name: python-boto3-batch-utils
Version: 5.1.0
Release: 1
Summary: A Client for managing batch interactions with AWS services
License: GNU APGL v3
URL: https://g-farrow.github.io/boto3_batch_utils/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/cb/64/e785c8c12a0dd9632251cc849e5999f742769ff92dfcf9fd54d3192c1707/boto3_batch_utils-5.1.0.tar.gz
BuildArch: noarch
Requires: python3-boto3
%description
This library offers some functionality to assist in writing records to AWS services in batches, where your data is not
naturally batched. This helps to achieve significant efficiencies when interacting with those AWS services as batch
writes are often much more efficient than individual writes.
[Documentation]()
# Installation
The package can be installed using `pip`:
```
pip install boto3-batch-utils
```
You may install a specific version of the package:
```
pip install boto3-batch-utils==3.0.0
```
### Boto3 and Configuration
Boto3 Batch Utils is an abstraction around AWS' Boto3 library. `boto3` is a dependency and will be installed
automatically, if it is not already present.
You will need to configure your AWS credentials and roles in exactly the same way as you would if using `boto3`
directly.
For more information on `boto3` configuration, refer to the AWS documentation
[here](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html).
# Concepts
The library is very simple to use. To use it, you must initialise a client, send it the payloads you want to transmit
and finally tell the client to clear down.
To use the package you do not need care how to batch up the payloads and send them into their target service. The
package will take care of this for you. This allows you to utilise the significant efficiencies of `boto3`'s batch
send/put/write methods, without the headaches of error handling and batch sizes.
Each of the supported services has it's own dispatcher client. Each has the same 2 methods with which to interact. So
interacting with each of the various service clients is similar and follows the same 3 steps:
* **Initialise**: Instantiate the batch dispatcher, passing in the required configuration.
* **submit_payload**: pass in a payload (e.g. a single message, metric etc).
* **flush_payloads**: send all payloads in the backlog.
> If you are using `boto3-batch-utils` in AWS Lambda, you should call `.flush_payloads()` at the end of every
invocation.
# Documentation
Full documentation is available here: [boto3-batch-utils Docs](https://g-farrow.github.io/boto3_batch_utils/)
# Contributing
For more information about contributing to this project, please refer to the
[Developer documentation](resources/developer_docs.md).
# Acknowledgements
[ ~ Dependencies scanned by PyUp.io ~ ]
%package -n python3-boto3-batch-utils
Summary: A Client for managing batch interactions with AWS services
Provides: python-boto3-batch-utils
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-boto3-batch-utils
This library offers some functionality to assist in writing records to AWS services in batches, where your data is not
naturally batched. This helps to achieve significant efficiencies when interacting with those AWS services as batch
writes are often much more efficient than individual writes.
[Documentation]()
# Installation
The package can be installed using `pip`:
```
pip install boto3-batch-utils
```
You may install a specific version of the package:
```
pip install boto3-batch-utils==3.0.0
```
### Boto3 and Configuration
Boto3 Batch Utils is an abstraction around AWS' Boto3 library. `boto3` is a dependency and will be installed
automatically, if it is not already present.
You will need to configure your AWS credentials and roles in exactly the same way as you would if using `boto3`
directly.
For more information on `boto3` configuration, refer to the AWS documentation
[here](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html).
# Concepts
The library is very simple to use. To use it, you must initialise a client, send it the payloads you want to transmit
and finally tell the client to clear down.
To use the package you do not need care how to batch up the payloads and send them into their target service. The
package will take care of this for you. This allows you to utilise the significant efficiencies of `boto3`'s batch
send/put/write methods, without the headaches of error handling and batch sizes.
Each of the supported services has it's own dispatcher client. Each has the same 2 methods with which to interact. So
interacting with each of the various service clients is similar and follows the same 3 steps:
* **Initialise**: Instantiate the batch dispatcher, passing in the required configuration.
* **submit_payload**: pass in a payload (e.g. a single message, metric etc).
* **flush_payloads**: send all payloads in the backlog.
> If you are using `boto3-batch-utils` in AWS Lambda, you should call `.flush_payloads()` at the end of every
invocation.
# Documentation
Full documentation is available here: [boto3-batch-utils Docs](https://g-farrow.github.io/boto3_batch_utils/)
# Contributing
For more information about contributing to this project, please refer to the
[Developer documentation](resources/developer_docs.md).
# Acknowledgements
[ ~ Dependencies scanned by PyUp.io ~ ]
%package help
Summary: Development documents and examples for boto3-batch-utils
Provides: python3-boto3-batch-utils-doc
%description help
This library offers some functionality to assist in writing records to AWS services in batches, where your data is not
naturally batched. This helps to achieve significant efficiencies when interacting with those AWS services as batch
writes are often much more efficient than individual writes.
[Documentation]()
# Installation
The package can be installed using `pip`:
```
pip install boto3-batch-utils
```
You may install a specific version of the package:
```
pip install boto3-batch-utils==3.0.0
```
### Boto3 and Configuration
Boto3 Batch Utils is an abstraction around AWS' Boto3 library. `boto3` is a dependency and will be installed
automatically, if it is not already present.
You will need to configure your AWS credentials and roles in exactly the same way as you would if using `boto3`
directly.
For more information on `boto3` configuration, refer to the AWS documentation
[here](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html).
# Concepts
The library is very simple to use. To use it, you must initialise a client, send it the payloads you want to transmit
and finally tell the client to clear down.
To use the package you do not need care how to batch up the payloads and send them into their target service. The
package will take care of this for you. This allows you to utilise the significant efficiencies of `boto3`'s batch
send/put/write methods, without the headaches of error handling and batch sizes.
Each of the supported services has it's own dispatcher client. Each has the same 2 methods with which to interact. So
interacting with each of the various service clients is similar and follows the same 3 steps:
* **Initialise**: Instantiate the batch dispatcher, passing in the required configuration.
* **submit_payload**: pass in a payload (e.g. a single message, metric etc).
* **flush_payloads**: send all payloads in the backlog.
> If you are using `boto3-batch-utils` in AWS Lambda, you should call `.flush_payloads()` at the end of every
invocation.
# Documentation
Full documentation is available here: [boto3-batch-utils Docs](https://g-farrow.github.io/boto3_batch_utils/)
# Contributing
For more information about contributing to this project, please refer to the
[Developer documentation](resources/developer_docs.md).
# Acknowledgements
[ ~ Dependencies scanned by PyUp.io ~ ]
%prep
%autosetup -n boto3-batch-utils-5.1.0
%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-boto3-batch-utils -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 5.1.0-1
- Package Spec generated
|
