try using github action to automate release package uploading (#3113)

pull/3140/head v2.5.2
jzhang533 2024-03-25 15:14:51 +08:00 committed by GitHub
parent 8a53cdd6cc
commit 9efbbb8820
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5 changed files with 79 additions and 41 deletions

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# This workflow will upload a Python Package using Twine when a release is created
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
name: Upload Python Package
on:
release:
types: [published]
permissions:
contents: read
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.x'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install build
- name: Build package
run: python -m build
- name: Publish package
uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
with:
user: __token__
password: ${{ secrets.PYPI_API_TOKEN }}

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include LICENSE.txt
include LICENSE
include README.md
include docs/en/whl_en.md
recursive-include deploy/python *.py
recursive-include deploy/utils *.py
recursive-include ppcls/arch *.py

37
pyproject.toml 100644
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[build-system]
requires = ["setuptools>=64"]
build-backend = "setuptools.build_meta"
[project]
name = "paddleclas"
description = "A treasure chest for visual recognition powered by PaddlePaddle."
keywords=[
'image-classification', 'image-recognition', 'pretrained-models',
'knowledge-distillation', 'product-recognition', 'autoaugment',
'cutmix', 'randaugment', 'gridmask', 'deit', 'repvgg',
'swin-transformer', 'image-retrieval-system'
]
classifiers=[
'Development Status :: 5 - Production/Stable',
'Operating System :: OS Independent',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
]
readme = "README.md"
license = {file = "LICENSE"}
requires-python = ">=3.8"
dynamic = ["version", "dependencies"]
[project.scripts]
paddleclas = "paddleclas.paddleclas:main"
[tool.setuptools.dynamic]
version = {file = "version.txt"}
dependencies = {file = "requirements.txt"}

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# See the License for the specific language governing permissions and
# limitations under the License.
from io import open
from setuptools import setup
with open('requirements.txt', encoding="utf-8-sig") as f:
requirements = f.readlines()
def readme():
with open(
'docs/en/inference_deployment/whl_deploy_en.md',
encoding="utf-8-sig") as f:
README = f.read()
return README
setup(
name='paddleclas',
packages=['paddleclas'],
package_dir={'paddleclas': ''},
include_package_data=True,
entry_points={
"console_scripts": ["paddleclas=paddleclas.paddleclas:main"]
},
version='0.0.0',
install_requires=requirements,
license='Apache License 2.0',
description='A treasure chest for visual recognition powered by PaddlePaddle.',
long_description=readme(),
long_description_content_type='text/markdown',
url='https://github.com/PaddlePaddle/PaddleClas',
download_url='https://github.com/PaddlePaddle/PaddleClas.git',
keywords=[
'image-classification', 'image-recognition', 'pretrained-models',
'knowledge-distillation', 'product-recognition', 'autoaugment',
'cutmix', 'randaugment', 'gridmask', 'deit', 'repvgg',
'swin-transformer', 'image-retrieval-system'
],
classifiers=[
'Development Status :: 5 - Production/Stable',
'Operating System :: OS Independent',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
], )
)

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version.txt 100644
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2.5.2