import os

import sys

from jupyter_packaging import npm_builder, wrap_installers

from setuptools import find_packages, setup

# ensure the current directory is on sys.path

# so versioneer can be imported when pip uses

# PEP 517/518 build rules.

# https://github.com/python-versioneer/python-versioneer/issues/193

sys.path.append(os.path.dirname(__file__))

import versioneer

here = os.path.dirname(__file__)

# Representative files that should exist after a successful build

jstargets = [

os.path.join(here, "binderhub", "static", "dist", "bundle.js"),

]

# Automatically rebuild assets in dist if js is modified

jsdeps = npm_builder(

)

cmdclass = wrap_installers(

pre_develop=jsdeps, pre_dist=jsdeps, ensured_targets=jstargets

)

with open(os.path.join(here, "requirements.txt")) as f:

requirements = [

line.strip() for line in f.readlines() if not line.strip().startswith("#")

]

with open(os.path.join(here, "README.md"), encoding="utf8") as f:

readme = f.read()

setup(

name="binderhub",

version=versioneer.get_version(),

cmdclass=versioneer.get_cmdclass(cmdclass),

python_requires=">=3.8",

author="Project Jupyter Contributors",

author_email="jupyter@googlegroups.com",

license="BSD",

url="https://binderhub.readthedocs.io/en/latest/",

project_urls={

"Documentation": "https://binderhub.readthedocs.io/en/latest/",

"Funding": "https://jupyter.org/about",

"Source": "https://github.com/jupyterhub/binderhub/",

"Tracker": "https://github.com/jupyterhub/binderhub/issues",

},

# this should be a whitespace separated string of keywords, not a list

keywords="reproducible science environments docker kubernetes",

description="Turn a Git repo into a collection of interactive notebooks",

long_description=readme,

long_description_content_type="text/markdown",

packages=find_packages(),

include_package_data=True,

install_requires=requirements,

extras_require={

# pycurl is an optional dependency which improves performance

#

# - pycurl requires both `curl-config` and `gcc` to be available when

# installing it from source.

# - pycurl should always be used in production, but it's not relevant

# for building documentation which inspects the source code.

#

"pycurl": ["pycurl"],

},

)