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|
%global _empty_manifest_terminate_build 0
Name: python-madeira
Version: 1.0.24
Release: 1
Summary: Common AWS operation wrappers
License: MIT
URL: https://github.com/mxmader/madeira
Source0: https://mirrors.aliyun.com/pypi/web/packages/76/81/3e11e8ea136fd07faece4dd356b0f9527701cea006327549f25d948705fc/madeira-1.0.24.tar.gz
BuildArch: noarch
Requires: python3-boto3
Requires: python3-madeira-utils
%description
# Madeira
This is a python package which provides wrapper classes and convenience methods for the
Amazon Web Servces (AWS) python deployment SDK (`boto3`).
In several deployment automation projects I've built over the years, I've found that
"bare metal control" over interaction with AWS services allows me to leverage features
released by AWS into `boto3` the moment they're available, rather than waiting on 3rd
party CM tool authors/vendors to wrap *all* required functionality. Concurrently, this
reduces the footprint of project external dependencies.
Given that most projects I work on are "pure python", this approach requires less mental
context switching compared to using template-driven CM tools.
## Installation
This package is hosted on [PyPI](pypi.org), so you may simply:
```
pip install --user madeira
```
## Support
Intended for use with Python 3.7 or later.
## Limitations
Not all AWS services are represented; similarly, not all features of AWS services
that are represented here are "wrapped".
## Package name origins
Since the AWS python SDK is called `boto`, which refers to Amazon River dolphins,
I figured I'd attempt to follow the pattern and name this after a tributary of the
Amazon River, given that the point of these wrappers is to deploy objects into AWS,
The analogy seemed to solve the problem of developer naming creativity...
:stuck_out_tongue_winking_eye:
%package -n python3-madeira
Summary: Common AWS operation wrappers
Provides: python-madeira
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-madeira
# Madeira
This is a python package which provides wrapper classes and convenience methods for the
Amazon Web Servces (AWS) python deployment SDK (`boto3`).
In several deployment automation projects I've built over the years, I've found that
"bare metal control" over interaction with AWS services allows me to leverage features
released by AWS into `boto3` the moment they're available, rather than waiting on 3rd
party CM tool authors/vendors to wrap *all* required functionality. Concurrently, this
reduces the footprint of project external dependencies.
Given that most projects I work on are "pure python", this approach requires less mental
context switching compared to using template-driven CM tools.
## Installation
This package is hosted on [PyPI](pypi.org), so you may simply:
```
pip install --user madeira
```
## Support
Intended for use with Python 3.7 or later.
## Limitations
Not all AWS services are represented; similarly, not all features of AWS services
that are represented here are "wrapped".
## Package name origins
Since the AWS python SDK is called `boto`, which refers to Amazon River dolphins,
I figured I'd attempt to follow the pattern and name this after a tributary of the
Amazon River, given that the point of these wrappers is to deploy objects into AWS,
The analogy seemed to solve the problem of developer naming creativity...
:stuck_out_tongue_winking_eye:
%package help
Summary: Development documents and examples for madeira
Provides: python3-madeira-doc
%description help
# Madeira
This is a python package which provides wrapper classes and convenience methods for the
Amazon Web Servces (AWS) python deployment SDK (`boto3`).
In several deployment automation projects I've built over the years, I've found that
"bare metal control" over interaction with AWS services allows me to leverage features
released by AWS into `boto3` the moment they're available, rather than waiting on 3rd
party CM tool authors/vendors to wrap *all* required functionality. Concurrently, this
reduces the footprint of project external dependencies.
Given that most projects I work on are "pure python", this approach requires less mental
context switching compared to using template-driven CM tools.
## Installation
This package is hosted on [PyPI](pypi.org), so you may simply:
```
pip install --user madeira
```
## Support
Intended for use with Python 3.7 or later.
## Limitations
Not all AWS services are represented; similarly, not all features of AWS services
that are represented here are "wrapped".
## Package name origins
Since the AWS python SDK is called `boto`, which refers to Amazon River dolphins,
I figured I'd attempt to follow the pattern and name this after a tributary of the
Amazon River, given that the point of these wrappers is to deploy objects into AWS,
The analogy seemed to solve the problem of developer naming creativity...
:stuck_out_tongue_winking_eye:
%prep
%autosetup -n madeira-1.0.24
%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-madeira -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.24-1
- Package Spec generated
|
