version = json.load(fid)['jupyterlab']['version']
if LooseVersion(version) != LooseVersion(VERSION):
raise ValueError('Version mismatch, please run `build:update`')
cmdclass = create_cmdclass('jsdeps',
data_files_spec=data_files_spec,
package_data_spec=package_data_spec,
exclude=exclude)
cmdclass['jsdeps'] = combine_commands(
install_npm(build_cmd='build:prod',
path=staging,
source_dir=staging,
build_dir=pjoin(HERE, NAME, 'static'),
npm=npm), command_for_func(check_assets))
class JupyterlabDevelop(develop):
"""A custom develop command that runs yarn"""
def run(self):
if not skip_npm:
if not which('node'):
error_message = """
Please install nodejs and npm before continuing installation.
nodejs may be installed using conda or directly from: https://nodejs.org/
"""
log.error(error_message)
return
run(npm, cwd=HERE)
develop.run(self)
return
target = pjoin(HERE, NAME, 'static', 'package.json')
with open(target) as fid:
version = json.load(fid)['jupyterlab']['version']
if LooseVersion(version) != LooseVersion(VERSION):
raise ValueError('Version mismatch, please run `build:update`')
cmdclass = create_cmdclass('jsdeps', data_files_spec=data_files_spec,
package_data_spec=package_data_spec)
cmdclass['jsdeps'] = combine_commands(
install_npm(build_cmd='build:prod', path=staging, source_dir=staging,
build_dir=pjoin(HERE, NAME, 'static'), npm=npm),
command_for_func(check_assets)
)
class JupyterlabDevelop(develop):
"""A custom develop command that runs yarn"""
def run(self):
if not skip_npm:
if not which('node'):
log.error('Please install nodejs and npm before continuing installation. nodejs may be installed using conda or directly from the nodejs website.')
return
run(npm, cwd=HERE)
develop.run(self)
return
target = pjoin(HERE, NAME, 'static', 'package.json')
with open(target) as fid:
version = json.load(fid)['jupyterlab']['version']
if LooseVersion(version) != LooseVersion(VERSION):
raise ValueError('Version mismatch, please run `build:update`')
cmdclass = create_cmdclass('jsdeps', data_files_spec=data_files_spec,
package_data_spec=package_data_spec, exclude=exclude)
cmdclass['jsdeps'] = combine_commands(
install_npm(build_cmd='build:prod', path=staging, source_dir=staging,
build_dir=pjoin(HERE, NAME, 'static'), npm=npm),
command_for_func(check_assets)
)
class JupyterlabDevelop(develop):
"""A custom develop command that runs yarn"""
def run(self):
if not skip_npm:
if not which('node'):
error_message = """
Please install nodejs and npm before continuing installation.
nodejs may be installed using conda or directly from: https://nodejs.org/
"""
log.error(error_message)
return
"etc/jupyter/jupyter_notebook_config.d",
"sagemaker_run_notebook/server_extension/jupyter-config/jupyter_notebook_config.d",
"sagemaker_run_notebook.json",
),
]
def runPackLabextension():
if (lab_path / "package.json").is_file():
try:
run(["jlpm", "build:labextension"], cwd=str(lab_path))
except CalledProcessError:
pass
pack_labext = command_for_func(runPackLabextension)
cmdclass = create_cmdclass("pack_labext", data_files_spec=data_files_spec)
cmdclass["pack_labext"] = pack_labext
cmdclass.pop("develop")
with open("README.md", "r") as fh:
long_description = fh.read()
required_packages = ["boto3>=1.10.44"]
setuptools.setup(
name=name,
version=version,
author="Amazon Web Services",
description="Schedule notebooks to run using SageMaker processing jobs",