text: # coding: utf-8
  """A tornado based Jupyter lab server."""
  
  # Copyright (c) Jupyter Development Team.
  # Distributed under the terms of the Modified BSD License.
  
  import json
  import os
  import os.path as osp
  from os.path import join as pjoin
  import sys
  
  from jupyter_core.application import JupyterApp, base_aliases
  from jupyterlab_server import slugify, WORKSPACE_EXTENSION
  from notebook.notebookapp import NotebookApp, aliases, flags
  from notebook.utils import url_path_join as ujoin
  from traitlets import Bool, Instance, Unicode
  
  from ._version import __version__
  from .debuglog import DebugLogFileMixin
  from .extension import load_config, load_jupyter_server_extension
  from .commands import (
      build, clean, get_app_dir, get_app_version, get_user_settings_dir,
      get_workspaces_dir
  )
  from .coreconfig import CoreConfig
  
  
  build_aliases = dict(base_aliases)
  build_aliases['app-dir'] = 'LabBuildApp.app_dir'
  build_aliases['name'] = 'LabBuildApp.name'
  build_aliases['version'] = 'LabBuildApp.version'
  build_aliases['dev-build'] = 'LabBuildApp.dev_build'
  build_aliases['minimize'] = 'LabBuildApp.minimize'
  build_aliases['debug-log-path'] = 'DebugLogFileMixin.debug_log_path'
  
  build_flags = dict(flags)
  
  version = __version__
  app_version = get_app_version()
  if version != app_version:
      version = '%s (dev), %s (app)' % (__version__, app_version)
  
  
  class LabBuildApp(JupyterApp, DebugLogFileMixin):
      version = version
      description = """
      Build the JupyterLab application
  
      The application is built in the JupyterLab app directory in `/staging`.
      When the build is complete it is put in the JupyterLab app `/static`
      directory, where it is used to serve the application.
      """
      aliases = build_aliases
      flags = build_flags
  
      # Not configurable!
      core_config = Instance(CoreConfig, allow_none=True)
  
      app_dir = Unicode('', config=True,
          help="The app directory to build in")
  
      name = Unicode('JupyterLab', config=True,
          help="The name of the built application")
  
      version = Unicode('', config=True,
          help="The version of the built application")
  
      dev_build = Bool(None, allow_none=True, config=True,
          help="Whether to build in dev mode. Defaults to True (dev mode) if there are any locally linked extensions, else defaults to False (prod mode).")
  
      minimize = Bool(True, config=True,
          help="Whether to use a minifier during the Webpack build (defaults to True). Only affects production builds.")
  
      pre_clean = Bool(False, config=True,
          help="Whether to clean before building (defaults to False)")
  
      def start(self):
          parts = ['build']
          parts.append('none' if self.dev_build is None else
                       'dev' if self.dev_build else
                       'prod')
          if self.minimize:
              parts.append('minimize')
          command = ':'.join(parts)
  
          app_dir = self.app_dir or get_app_dir()
          self.log.info('JupyterLab %s', version)
          with self.debug_logging():
              if self.pre_clean:
                  self.log.info('Cleaning %s' % app_dir)
                  clean(self.app_dir)
              self.log.info('Building in %s', app_dir)
              build(app_dir=app_dir, name=self.name, version=self.version,
                    command=command, logger=self.log,
                    core_config=self.core_config)
  
  
  clean_aliases = dict(base_aliases)
  clean_aliases['app-dir'] = 'LabCleanApp.app_dir'
  
  
  class LabCleanApp(JupyterApp):
      version = version
      description = """
      Clean the JupyterLab application
  
      This will clean the app directory by removing the `staging` and `static`
      directories.
      """
      aliases = clean_aliases
  
      # Not configurable!
      core_config = Instance(CoreConfig, allow_none=True)
  
      app_dir = Unicode('', config=True, help='The app directory to clean')
  
      def start(self):
          clean(self.app_dir, logger=self.log)
  
  
  class LabPathApp(JupyterApp):
      version = version
      description = """
      Print the configured paths for the JupyterLab application
  
      The application path can be configured using the JUPYTERLAB_DIR
          environment variable.
      The user settings path can be configured using the JUPYTERLAB_SETTINGS_DIR
          environment variable or it will fall back to
          `/lab/user-settings` in the default Jupyter configuration directory.
      The workspaces path can be configured using the JUPYTERLAB_WORKSPACES_DIR
          environment variable or it will fall back to
          '/lab/workspaces' in the default Jupyter configuration directory.
      """
  
      def start(self):
          print('Application directory:   %s' % get_app_dir())
          print('User Settings directory: %s' % get_user_settings_dir())
          print('Workspaces directory: %s' % get_workspaces_dir())
  
  
  class LabWorkspaceExportApp(JupyterApp):
      version = version
      description = """
      Export a JupyterLab workspace
  
      If no arguments are passed in, this command will export the default
          workspace.
      If a workspace name is passed in, this command will export that workspace.
      If no workspace is found, this command will export an empty workspace.
      """
      def start(self):
          app = LabApp(config=self.config)
          base_url = app.base_url
          config = load_config(app)
          directory = config.workspaces_dir
          app_url = config.app_url
  
          if len(self.extra_args) > 1:
              print('Too many arguments were provided for workspace export.')
              self.exit(1)
  
          raw = (app_url if not self.extra_args
                 else ujoin(config.workspaces_url, self.extra_args[0]))
          slug = slugify(raw, base_url)
          workspace_path = pjoin(directory, slug + WORKSPACE_EXTENSION)
  
          if osp.exists(workspace_path):
              with open(workspace_path) as fid:
                  try:  # to load the workspace file.
                      print(fid.read())
                  except Exception as e:
                      print(json.dumps(dict(data=dict(), metadata=dict(id=raw))))
          else:
              print(json.dumps(dict(data=dict(), metadata=dict(id=raw))))
  
  
  class LabWorkspaceImportApp(JupyterApp):
      version = version
      description = """
      Import a JupyterLab workspace
  
      This command will import a workspace from a JSON file. The format of the
          file must be the same as what the export functionality emits.
      """
      workspace_name = Unicode(
          None,
          config=True,
          allow_none=True,
          help="""
          Workspace name. If given, the workspace ID in the imported
          file will be replaced with a new ID pointing to this
          workspace name.
          """
      )
  
      aliases = {
          'name': 'LabWorkspaceImportApp.workspace_name'
      }
  
      def start(self):
          app = LabApp(config=self.config)
          base_url = app.base_url
          config = load_config(app)
          directory = config.workspaces_dir
          app_url = config.app_url
          workspaces_url = config.workspaces_url
  
          if len(self.extra_args) != 1:
              print('One argument is required for workspace import.')
              self.exit(1)
  
          workspace = dict()
          with self._smart_open() as fid:
              try:  # to load, parse, and validate the workspace file.
                  workspace = self._validate(fid, base_url, app_url, workspaces_url)
              except Exception as e:
                  print('%s is not a valid workspace:\n%s' % (fid.name, e))
                  self.exit(1)
  
          if not osp.exists(directory):
              try:
                  os.makedirs(directory)
              except Exception as e:
                  print('Workspaces directory could not be created:\n%s' % e)
                  self.exit(1)
  
          slug = slugify(workspace['metadata']['id'], base_url)
          workspace_path = pjoin(directory, slug + WORKSPACE_EXTENSION)
  
          # Write the workspace data to a file.
          with open(workspace_path, 'w') as fid:
              fid.write(json.dumps(workspace))
  
          print('Saved workspace: %s' % workspace_path)
  
      def _smart_open(self):
          file_name = self.extra_args[0]
  
          if file_name == '-':
              return sys.stdin
          else:
              file_path = osp.abspath(file_name)
  
              if not osp.exists(file_path):
                  print('%s does not exist.' % file_name)
                  self.exit(1)
  
              return open(file_path)
  
      def _validate(self, data, base_url, app_url, workspaces_url):
          workspace = json.load(data)
  
          if 'data' not in workspace:
              raise Exception('The `data` field is missing.')
  
          # If workspace_name is set in config, inject the
          # name into the workspace metadata.
          if self.workspace_name is not None:
              if self.workspace_name == "":
                  workspace_id = ujoin(base_url, app_url)
              else:
                  workspace_id = ujoin(base_url, workspaces_url, self.workspace_name)
              workspace['metadata'] = {'id': workspace_id}
          # else check that the workspace_id is valid.
          else:
              if 'id' not in workspace['metadata']:
                  raise Exception('The `id` field is missing in `metadata`.')
              else:
                  id = workspace['metadata']['id']
                  if id != ujoin(base_url, app_url) and not id.startswith(ujoin(base_url, workspaces_url)):
                      error = '%s does not match app_url or start with workspaces_url.'
                      raise Exception(error % id)
  
          return workspace
  
  
  class LabWorkspaceApp(JupyterApp):
      version = version
      description = """
      Import or export a JupyterLab workspace
  
      There are two sub-commands for export or import of workspaces. This app
          should not otherwise do any work.
      """
      subcommands = dict()
      subcommands['export'] = (
          LabWorkspaceExportApp,
          LabWorkspaceExportApp.description.splitlines()[0]
      )
      subcommands['import'] = (
          LabWorkspaceImportApp,
          LabWorkspaceImportApp.description.splitlines()[0]
      )
  
      def start(self):
          super().start()
          print('Either `export` or `import` must be specified.')
          self.exit(1)
  
  
  lab_aliases = dict(aliases)
  lab_aliases['app-dir'] = 'LabApp.app_dir'
  
  lab_flags = dict(flags)
  lab_flags['core-mode'] = (
      {'LabApp': {'core_mode': True}},
      "Start the app in core mode."
  )
  lab_flags['dev-mode'] = (
      {'LabApp': {'dev_mode': True}},
      "Start the app in dev mode for running from source."
  )
  lab_flags['watch'] = (
      {'LabApp': {'watch': True}},
      "Start the app in watch mode."
  )
  
  
  class LabApp(NotebookApp):
      version = version
  
      description = """
      JupyterLab - An extensible computational environment for Jupyter.
  
      This launches a Tornado based HTML Server that serves up an
      HTML5/Javascript JupyterLab client.
  
      JupyterLab has three different modes of running:
  
      * Core mode (`--core-mode`): in this mode JupyterLab will run using the JavaScript
        assets contained in the installed `jupyterlab` Python package. In core mode, no
        extensions are enabled. This is the default in a stable JupyterLab release if you
        have no extensions installed.
      * Dev mode (`--dev-mode`): uses the unpublished local JavaScript packages in the
        `dev_mode` folder.  In this case JupyterLab will show a red stripe at the top of
        the page.  It can only be used if JupyterLab is installed as `pip install -e .`.
      * App mode: JupyterLab allows multiple JupyterLab "applications" to be
        created by the user with different combinations of extensions. The `--app-dir` can
        be used to set a directory for different applications. The default application
        path can be found using `jupyter lab path`.
      """
  
      examples = """
          jupyter lab                       # start JupyterLab
          jupyter lab --dev-mode            # start JupyterLab in development mode, with no extensions
          jupyter lab --core-mode           # start JupyterLab in core mode, with no extensions
          jupyter lab --app-dir=~/myjupyterlabapp # start JupyterLab with a particular set of extensions
          jupyter lab --certfile=mycert.pem # use SSL/TLS certificate
      """
  
      aliases = lab_aliases
      flags = lab_flags
  
      subcommands = dict(
          build=(LabBuildApp, LabBuildApp.description.splitlines()[0]),
          clean=(LabCleanApp, LabCleanApp.description.splitlines()[0]),
          path=(LabPathApp, LabPathApp.description.splitlines()[0]),
          paths=(LabPathApp, LabPathApp.description.splitlines()[0]),
          workspace=(LabWorkspaceApp, LabWorkspaceApp.description.splitlines()[0]),
          workspaces=(LabWorkspaceApp, LabWorkspaceApp.description.splitlines()[0])
      )
  
      default_url = Unicode('/lab', config=True,
          help="The default URL to redirect to from `/`")
  
      override_static_url = Unicode('', config=True, help=('The override url for static lab assets, typically a CDN.'))
  
      override_theme_url = Unicode('', config=True, help=('The override url for static lab theme assets, typically a CDN.'))
  
      app_dir = Unicode(get_app_dir(), config=True,
          help="The app directory to launch JupyterLab from.")
  
      user_settings_dir = Unicode(get_user_settings_dir(), config=True,
          help="The directory for user settings.")
  
      workspaces_dir = Unicode(get_workspaces_dir(), config=True,
          help="The directory for workspaces")
  
      core_mode = Bool(False, config=True,
          help="""Whether to start the app in core mode. In this mode, JupyterLab
          will run using the JavaScript assets that are within the installed
          JupyterLab Python package. In core mode, third party extensions are disabled.
          The `--dev-mode` flag is an alias to this to be used when the Python package
          itself is installed in development mode (`pip install -e .`).
          """)
  
      dev_mode = Bool(False, config=True,
          help="""Whether to start the app in dev mode. Uses the unpublished local
          JavaScript packages in the `dev_mode` folder.  In this case JupyterLab will
          show a red stripe at the top of the page.  It can only be used if JupyterLab
          is installed as `pip install -e .`.
          """)
  
      watch = Bool(False, config=True,
          help="Whether to serve the app in watch mode")
  
      def init_webapp(self, *args, **kwargs):
          super().init_webapp(*args, **kwargs)
          settings = self.web_app.settings
          if 'page_config_data' not in settings:
              settings['page_config_data'] = {}
  
          # Handle quit button with support for Notebook < 5.6
          settings['page_config_data']['quitButton'] = getattr(self, 'quit_button', False)
  
      def init_server_extensions(self):
          """Load any extensions specified by config.
  
          Import the module, then call the load_jupyter_server_extension function,
          if one exists.
  
          If the JupyterLab server extension is not enabled, it will
          be manually loaded with a warning.
  
          The extension API is experimental, and may change in future releases.
          """
          super(LabApp, self).init_server_extensions()
          msg = 'JupyterLab server extension not enabled, manually loading...'
          if not self.nbserver_extensions.get('jupyterlab', False):
              self.log.warning(msg)
              load_jupyter_server_extension(self)
  
  
  #-----------------------------------------------------------------------------
  # Main entry point
  #-----------------------------------------------------------------------------
  
  main = launch_new_instance = LabApp.launch_instance
  
  if __name__ == '__main__':
      main()
  