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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from codecs import open # To use a consistent encoding
from os import path
import io
NAME = "trading_ig"
filename = "%s/version.py" % NAME
with open(filename) as f:
exec(f.read())
here = path.abspath(path.dirname(__file__))
def readme():
filename = path.join(here, "README.rst")
with io.open(filename, "rt", encoding="UTF-8") as f:
return f.read()
setup(
name=NAME,
# 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/development.html#single-sourcing-the-version
# version='0.0.1',
version=__version__,
description="A lightweight wrapper for the IG Markets API written in Python",
long_description=readme(),
# The project's main homepage.
url=__url__,
# Author details
author=__author__,
author_email=__author_email__,
# Choose your license
license=__license__,
# 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
"Environment :: Console",
# 'Topic :: Software Development :: Build Tools',
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
"Programming Language :: Cython",
"Programming Language :: Python",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering",
# Pick your license as you wish (should match "license" above)
"License :: OSI Approved :: BSD License",
],
python_requires='>=3.6',
# What does your project relate to?
keywords="trading, spread betting, CFDs",
# 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*"]),
# 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/technical.html#install-requires-vs-requirements-files
install_requires=[
"munch==2.5.0",
"pycryptodome==3.9.8",
"requests==2.24.0",
"requests-cache==0.5.2",
"six==1.15.0",
"pandas==1.0.5",
], # bunch->lunch->infi.bunch->munch
# 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": ["check-manifest", "pytest"], "test": ["pytest", "pytest-cov"],},
# 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': ['logging.conf'],
# },
# 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
# 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",],},
)