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setup.py
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setup.py
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# Always prefer setuptools over distutils
from os import path
from setuptools import setup, find_packages
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()
# Arguments marked as "Required" below must be included for upload to PyPI.
# Fields marked as "Optional" may be commented out.
setup(
# This is the name of your project. The first time you publish this
# package, this name will be registered for you. It will determine how
# users can install this project, e.g.:
#
# $ pip install sampleproject
#
# And where it will live on PyPI: https://pypi.org/project/sampleproject/
#
# There are some restrictions on what makes a valid project name
# specification here:
# https://packaging.python.org/specifications/core-metadata/#name
name="ibpy-native", # Required
# Versions should comply with PEP 440:
# https://www.python.org/dev/peps/pep-0440/
#
# 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", # Required
# This is a one-line description or tagline of what your project does. This
# corresponds to the "Summary" metadata field:
# https://packaging.python.org/specifications/core-metadata/#summary
description="Implementation of the native python version of IB API", # Optional
# This is an optional longer description of your project that represents
# the body of text which users will see when they visit PyPI.
#
# Often, this is the same as your README, so you can just read it in from
# that file directly (as we have already done above)
#
# This field corresponds to the "Description" metadata field:
# https://packaging.python.org/specifications/core-metadata/#description-optional
long_description=long_description, # Optional
# Denotes that our long_description is in Markdown; valid values are
# text/plain, text/x-rst, and text/markdown
#
# Optional if long_description is written in reStructuredText (rst) but
# required for plain-text or Markdown; if unspecified, "applications should
# attempt to render [the long_description] as text/x-rst; charset=UTF-8 and
# fall back to text/plain if it is not valid rst" (see link below)
#
# This field corresponds to the "Description-Content-Type" metadata field:
# https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
long_description_content_type="text/markdown", # Optional (see note above)
# This should be a valid link to your project's main homepage.
#
# This field corresponds to the "Home-Page" metadata field:
# https://packaging.python.org/specifications/core-metadata/#home-page-optional
url="https://github.com/Devtography/ibpy_native", # Optional
# This should be your name or the name of the organization which owns the
# project.
author="Wing Chau @Devtography", # Optional
# This should be a valid email address corresponding to the author listed
# above.
author_email="wing@devtography.com", # Optional
# Classifiers help users find your project by categorizing it.
#
# For a list of valid classifiers, see https://pypi.org/classifiers/
classifiers=[ # Optional
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 5 - Production/Stable",
# Indicate who your project is intended for
"Intended Audience :: Developers",
"Topic :: Software Development :: Libraries",
# Pick your license as you wish
"License :: Free for non-commercial use",
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
# These classifiers are *not* checked by 'pip install'. See instead
# 'python_requires' below.
"Programming Language :: Python :: 3.7",
],
# This field adds keywords for your project which will appear on the
# project page. What does your project relate to?
#
# Note that this is a string of words separated by whitespace, not a list.
keywords="ibapi trading development", # Optional
# You can just specify package directories manually here if your project is
# simple. Or you can use find_packages().
#
# Alternatively, if you just want to distribute a single Python file, use
# the `py_modules` argument instead as follows, which will expect a file
# called `my_module.py` to exist:
#
# py_modules=["my_module"],
#
packages=find_packages(
exclude=["contrib", "docs", "samples", "tests", "tests.*"]
), # Required
# Specify which Python versions you support. In contrast to the
# 'Programming Language' classifiers above, 'pip install' will check this
# and refuse to install the project if the version does not match. If you
# do not support Python 2, you can simplify this to '>=3.5' or similar, see
# https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires
python_requires=">=3.7",
# This field lists other packages that your project depends on to run.
# Any package you put here will be installed by pip when your project is
# installed, so they must be valid existing projects.
#
# For an analysis of "install_requires" vs pip's requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
"deprecated==1.2.11",
"pytz==2021.1",
"typing-extensions==3.7.4.3",
"wrapt==1.12.1",
], # Optional
# List additional groups of dependencies here (e.g. development
# dependencies). Users will be able to install these using the "extras"
# syntax, for example:
#
# $ pip install sampleproject[dev]
#
# Similar to `install_requires` above, these must be valid existing
# projects.
extras_require={"dev": []}, # Optional
# If there are data files included in your packages that need to be
# installed, specify them here.
#
# Sometimes you’ll want to use packages that are properly arranged with
# setuptools, but are not published to PyPI. In those cases, you can specify
# a list of one or more dependency_links URLs where the package can
# be downloaded, along with some additional hints, and setuptools
# will find and install the package correctly.
# see https://python-packaging.readthedocs.io/en/latest/dependencies.html#packages-not-on-pypi
#
dependency_links=[],
# If using Python 2.6 or earlier, then these have to be included in
# MANIFEST.in as well.
# package_data={"sample": ["package_data.dat"]}, # Optional
# 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"])], # Optional
# 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.
#
# For example, the following would provide a command called `sample` which
# executes the function `main` from this package when invoked:
# entry_points={"console_scripts": ["sample=sample:main"]}, # Optional
# List additional URLs that are relevant to your project as a dict.
#
# This field corresponds to the "Project-URL" metadata fields:
# https://packaging.python.org/specifications/core-metadata/#project-url-multiple-use
#
# Examples listed include a pattern for specifying where the package tracks
# issues, where the source is hosted, where to say thanks to the package
# maintainers, and where to support the project financially. The key is
# what's used to render the link text on PyPI.
project_urls={ # Optional
"Bug Reports": "https://github.com/Devtography/ibpy_native/issues",
"Twitter": "https://twitter.com/Devtography",
"Source": "https://github.com/Devtography/ibpy_native/",
},
)