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#!/usr/bin/env python
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
import sys
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='floto',
# 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='0.0.3',
description='Task Orchestration Tool Based on AWS Simple Workflow and boto3',
long_description=long_description,
# The project's main homepage.
url='https://github.com/babbel/floto',
# Author details
author='Anne Matthies, Philipp Pahl',
author_email='amatthies@babbel.com',
# 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',
# 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 :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3 :: Only',
],
# What does your project relate to?
keywords='aws development',
# 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']),
#package_dir={'': 'floto'},
packages=find_packages(exclude=['tests*']),
# packages = [
# 'floto',
# 'floto.api',
# 'floto.decider',
# 'floto.decisions',
# 'floto.specs',
# 'floto.specs.retry_strategy'
# ],
# 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
install_requires=['setuptools',
'boto3 >= 1.3.0',
],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extras_require={
'dev': ['pytest >= 2.8.5',
'pytest-mock >= 0.11.0',
'pytest-pythonpath >= 0.7'],
## 'test': ['coverage'],
},
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
## package_data={
## 'sample': ['package_data.dat'],
## },
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
## data_files=[('my_data', ['data/data_file'])],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
## entry_points={
## 'console_scripts': [
## 'sample=sample:main',
## ],
##},
zip_safe=True,
)