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setup.py
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#! /usr/bin/env python
# -*- mode: python; coding: utf-8 -*-
# Copyright (c) Jupyter Development Team, WorldWide Telescope team
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import io
from os.path import join as pjoin
import sys
sys.path.append(".")
from setupbase import (
create_cmdclass,
install_npm,
ensure_targets,
find_packages,
combine_commands,
get_version,
HERE,
)
from setuptools import setup
# Gather package metadata.
name = "pywwt"
version = get_version(pjoin(name, "_version.py"))
with io.open("README.md", encoding="utf_8") as f:
LONG_DESCRIPTION = f.read()
# Wire up the NPM build to the Python package build -- we generate JavaScript
# artifacts from the `frontend/` package and then include them as data assets in
# the pywwt Python package.
nb_path = pjoin(name, "nbextension", "static")
js_outputs = [
pjoin(nb_path, "index.js"),
]
js_content_command = combine_commands(
install_npm("frontend", build_cmd="pywwt-export"),
ensure_targets(js_outputs),
)
# Custom "command class" that (1) makes sure to create the JS content, (2)
# includes that content as extra "package data" in the Python package, and (3)
# can install special metadata files in the Python environment root.
package_data_spec = {
name: [
"interactive_figure/*.html",
"interactive_figure/*.js",
"labextension/*.tgz",
"nbextension/static/*.*js*",
"tests/data/*/*.png",
"tests/data/*.fits",
"web_static/**",
]
}
lab_path = pjoin(name, "labextension")
local_nbdotd_path = pjoin("jupyter.d", "notebook.d")
local_jnbcfgdotd_path = pjoin("jupyter.d", "jupyter_notebook_config.d")
data_files_spec = [
("share/jupyter/nbextensions/pywwt", nb_path, "*.js*"),
("share/jupyter/lab/extensions", lab_path, "*.tgz"),
("etc/jupyter/nbconfig/notebook.d", local_nbdotd_path, "pywwt.json"),
("etc/jupyter/jupyter_notebook_config.d", local_jnbcfgdotd_path, "pywwt.json"),
]
cmdclass = create_cmdclass(
"js-content", package_data_spec=package_data_spec, data_files_spec=data_files_spec
)
cmdclass["js-content"] = js_content_command
# Ready to go!
setup_args = dict(
name=name,
description="Interactively visualize astronomy data in WorldWide Telescope",
long_description=LONG_DESCRIPTION,
long_description_content_type="text/markdown",
version=version,
cmdclass=cmdclass,
packages=find_packages("pywwt"),
author="WorldWide Telescope team",
author_email="[email protected]",
url="https://github.com/WorldWideTelescope/pywwt",
license="BSD",
platforms="Linux, Mac OS X, Windows",
keywords=["Jupyter", "Widgets", "IPython"],
classifiers=[
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: BSD License",
"Topic :: Multimedia :: Graphics",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Framework :: Jupyter",
],
include_package_data=True,
python_requires=">=3.7",
install_requires=[
# Keep alphabetized:
"astropy>=1.0,!=4.0.1",
"beautifulsoup4",
"ipyevents",
"ipywidgets>=7.0.0",
"lxml",
"matplotlib>1.5",
"nest_asyncio",
"numpy>=1.9",
"python-dateutil",
"pytz",
"reproject>=0.8",
"requests",
"toasty>=0.20",
"tornado",
"traitlets>=5",
"wwt_data_formats>=0.12",
],
extras_require={
"test": [
"pytest",
"pytest-cov>=2.6.1",
"pytest-remotedata>=0.3.1",
],
"docs": [
"astropy-sphinx-theme",
"ipykernel",
"sphinx>=1.6",
"sphinx-automodapi",
"numpydoc",
"jupyter_sphinx",
],
"qt": [
'PyQt5;python_version>="3"',
'PyQtWebEngine;python_version>="3"',
"qtpy",
],
"qt6": [
'PyQt6;python_version>="3"',
'PyQt6-WebEngine;python_version>="3"',
"qtpy",
],
"notebook": [
"wwt_kernel_data_relay",
"notebook",
],
"lab": [
"jupyterlab",
"nbclassic",
"notebook",
"wwt_kernel_data_relay",
],
},
entry_points={},
)
if __name__ == "__main__":
setup(**setup_args)