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|
%global _empty_manifest_terminate_build 0
Name: python-adc-streaming
Version: 2.3.2
Release: 1
Summary: Astronomy Data Commons streaming client libraries
License: BSD
URL: https://github.com/astronomy-commons/adc-streaming
Source0: https://mirrors.aliyun.com/pypi/web/packages/8f/f7/218b3db98d0cb5efd8eff1f064e0089a18ac5e3f5ee378416f77ca0dafb7/adc-streaming-2.3.2.tar.gz
BuildArch: noarch
Requires: python3-authlib
Requires: python3-confluent-kafka
Requires: python3-requests
Requires: python3-tqdm
Requires: python3-certifi
Requires: python3-dataclasses
Requires: python3-importlib-metadata
Requires: python3-typing-extensions
Requires: python3-autopep8
Requires: python3-docker
Requires: python3-flake8
Requires: python3-isort
Requires: python3-pytest
Requires: python3-pytest-timeout
Requires: python3-pytest-integration
Requires: python3-sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-twine
%description
# Astronomy Data Commons Streaming Client Libraries
Libraries making it easy to access astronomy data commons resources.
## Developer notes
### Setup
To prepare for development, run `pip install --editable ".[dev]"` from within
the repo directory. This will install all dependencies, including those using
during development workflows.
This project expects you to use a `pip`-centric workflow for development on the
project itself. If you're using conda, then use the conda environment's `pip` to
install development dependencies, as described above.
Integration tests require Docker to run a Kafka broker. The broker might have
network problems on OSX if you use Docker Desktop; run the tests in a Linux
virtual machine (like with VirtualBox) to get around this.
### Code Workflow
Write code, making changes.
Use `make format` to reformat your code to comply with PEP8.
Use `make lint` to catch common mistakes.
Use `make test-quick` to run fast unit tests.
Use `make test` to run the full slow test suite, including integration tests.
Once satisfied with all four of those, push your changes and open a PR.
### Tag, build, and upload to PyPI and Conda
Tag a new version:
```
git tag -s -a v0.x.x
```
Build and release:
```
make pypi-dist
make pypi-dist-check
make pypi-upload
make conda-build
make conda-upload
```
%package -n python3-adc-streaming
Summary: Astronomy Data Commons streaming client libraries
Provides: python-adc-streaming
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-adc-streaming
# Astronomy Data Commons Streaming Client Libraries
Libraries making it easy to access astronomy data commons resources.
## Developer notes
### Setup
To prepare for development, run `pip install --editable ".[dev]"` from within
the repo directory. This will install all dependencies, including those using
during development workflows.
This project expects you to use a `pip`-centric workflow for development on the
project itself. If you're using conda, then use the conda environment's `pip` to
install development dependencies, as described above.
Integration tests require Docker to run a Kafka broker. The broker might have
network problems on OSX if you use Docker Desktop; run the tests in a Linux
virtual machine (like with VirtualBox) to get around this.
### Code Workflow
Write code, making changes.
Use `make format` to reformat your code to comply with PEP8.
Use `make lint` to catch common mistakes.
Use `make test-quick` to run fast unit tests.
Use `make test` to run the full slow test suite, including integration tests.
Once satisfied with all four of those, push your changes and open a PR.
### Tag, build, and upload to PyPI and Conda
Tag a new version:
```
git tag -s -a v0.x.x
```
Build and release:
```
make pypi-dist
make pypi-dist-check
make pypi-upload
make conda-build
make conda-upload
```
%package help
Summary: Development documents and examples for adc-streaming
Provides: python3-adc-streaming-doc
%description help
# Astronomy Data Commons Streaming Client Libraries
Libraries making it easy to access astronomy data commons resources.
## Developer notes
### Setup
To prepare for development, run `pip install --editable ".[dev]"` from within
the repo directory. This will install all dependencies, including those using
during development workflows.
This project expects you to use a `pip`-centric workflow for development on the
project itself. If you're using conda, then use the conda environment's `pip` to
install development dependencies, as described above.
Integration tests require Docker to run a Kafka broker. The broker might have
network problems on OSX if you use Docker Desktop; run the tests in a Linux
virtual machine (like with VirtualBox) to get around this.
### Code Workflow
Write code, making changes.
Use `make format` to reformat your code to comply with PEP8.
Use `make lint` to catch common mistakes.
Use `make test-quick` to run fast unit tests.
Use `make test` to run the full slow test suite, including integration tests.
Once satisfied with all four of those, push your changes and open a PR.
### Tag, build, and upload to PyPI and Conda
Tag a new version:
```
git tag -s -a v0.x.x
```
Build and release:
```
make pypi-dist
make pypi-dist-check
make pypi-upload
make conda-build
make conda-upload
```
%prep
%autosetup -n adc-streaming-2.3.2
%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-adc-streaming -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.2-1
- Package Spec generated
|
