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setup.py
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setup.py
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#!/usr/bin/env python
try:
from setuptools import find_packages, setup
except ImportError:
from distutils.core import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
# Get the long description from the README file
long_desc = """
to be done!
"""
setup(
name = "redisbeat",
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version = "1.0.0",
description = "Redis Scheduler For Celery, Support Add Task Dynamic",
long_description="",
# The project's main homepage.
url="https://github.com/yetship/celerybeatredis",
# Author details
author = "Yetship",
author_email = "liqianglau@outlook.com",
home_page = 'https://liuliqiang.info/opensource/redisbeat',
# Choose your license
license='MIT',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Topic :: Software Development :: Libraries',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
],
# What does your project relate to?
keywords="celery scheduler redis beat",
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['contrib', 'docs', 'tests']),
# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
)