How to use the notebook.notebookapp function in notebook

To help you get started, we’ve selected a few notebook examples, based on popular ways it is used in public projects.

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github dataflownb / dfkernel / dfkernel / nbtests / test_notebookapp.py View on Github external
try:
    from unittest.mock import patch
except ImportError:
    from mock import patch # py2

import nose.tools as nt

from traitlets.tests.utils import check_help_all_output

from jupyter_core.application import NoStart
from ipython_genutils.tempdir import TemporaryDirectory
from traitlets import TraitError
from notebook import notebookapp, __version__
from notebook.auth.security import passwd_check
NotebookApp = notebookapp.NotebookApp


def test_help_output():
    """ipython notebook --help-all works"""
    check_help_all_output('notebook')

def test_server_info_file():
    td = TemporaryDirectory()
    nbapp = NotebookApp(runtime_dir=td.name, log=logging.getLogger())
    def get_servers():
        return list(notebookapp.list_running_servers(nbapp.runtime_dir))
    nbapp.initialize(argv=[])
    nbapp.write_server_info_file()
    servers = get_servers()
    nt.assert_equal(len(servers), 1)
    nt.assert_equal(servers[0]['port'], nbapp.port)
github leo-editor / leo-editor / leo / external / pyzo / pyzokernel / interpreter.py View on Github external
# Get whether we should (and can) run as script
        scriptFilename = startup_info['scriptFile']
        if scriptFilename:
            if not os.path.isfile(scriptFilename):
                printDirect('Invalid script file: "'+scriptFilename+'"\n')
                scriptFilename = None

        # Get project path
        projectPath = startup_info['projectPath']

        if scriptFilename.endswith('.ipynb'):
            # Run Jupyter notebook
            import notebook.notebookapp
            sys.argv = ['jupyter_notebook', scriptFilename]
            sys.exit(notebook.notebookapp.main())

        elif scriptFilename:
            # RUN AS SCRIPT
            # Set __file__  (note that __name__ is already '__main__')
            self.locals['__file__'] = scriptFilename
            # Set command line arguments
            sys.argv[:] = []
            sys.argv.append(scriptFilename)
            sys.argv.extend(shlex.split(startup_info.get('argv', '')))
            # Insert script directory to path
            theDir = os.path.abspath( os.path.dirname(scriptFilename) )
            if theDir not in sys.path:
                sys.path.insert(0, theDir)
            if projectPath is not None:
                sys.path.insert(0,projectPath)
            # Go to script dir
github spyder-ide / spyder-notebook / spyder_notebook / utils / nbopen.py View on Github external
def find_best_server(filename):
    """Find the best server to open a notebook with."""
    servers = [si for si in notebookapp.list_running_servers()
               if filename.startswith(si['notebook_dir'])]
    try:
        return max(servers, key=lambda si: len(si['notebook_dir']))
    except ValueError:
        return None
github takluyver / nbopen / nbopen / nbopen.py View on Github external
def find_best_server(filename):
    servers = [si for si in notebookapp.list_running_servers()
               if filename.startswith(si['notebook_dir'])]
    try:
        return max(servers, key=lambda si: len(si['notebook_dir']))
    except ValueError:
        return None
github DonJayamanne / pythonVSCode / pythonFiles / datascience / jupyter_daemon.py View on Github external
def _start_notebook(self, args, cwd, env):
        from notebook import notebookapp as app

        # Args must not have ['notebook'] in the begining. Drop the `notebook` subcommand when using `jupyter`
        args = args[1:] if args[0] == "notebook" else args
        self.log.info("Starting notebook with args %s", args)

        # When launching notebook always ensure the first argument is `notebook`.
        with change_exec_context(args, cwd, env):
            app.launch_new_instance()
github konstellation-io / science-toolkit / vscode / extensions / ms-python.python-2020.3.69010 / pythonFiles / vscode_datascience_helpers / jupyter_daemon.py View on Github external
def _start_notebook(self, args, cwd, env):
        from notebook import notebookapp as app

        # Args must not have ['notebook'] in the begining. Drop the `notebook` subcommand when using `jupyter`
        args = args[1:] if args[0] == "notebook" else args
        self.log.info("Starting notebook with args %s", args)

        # When launching notebook always ensure the first argument is `notebook`.
        with change_exec_context(args, cwd, env):
            app.launch_new_instance()
github takluyver / nbopen / nbopen / nbopen.py View on Github external
def nbopen(filename):
    filename = os.path.abspath(filename)
    home_dir = os.path.expanduser('~')
    server_inf = find_best_server(filename)
    if server_inf is not None:
        print("Using existing server at", server_inf['notebook_dir'])
        path = os.path.relpath(filename, start=server_inf['notebook_dir'])
        if os.sep != '/':
            path = path.replace(os.sep, '/')
        url = url_path_join(server_inf['url'], 'notebooks', url_escape(path))
        na = notebookapp.NotebookApp.instance()
        na.load_config_file()
        browser = webbrowser.get(na.browser or None)
        browser.open(url, new=2)
    else:
        if filename.startswith(home_dir):
            nbdir = home_dir
        else:
            nbdir = os.path.dirname(filename)

        print("Starting new server")
        # Hack: we want to override these settings if they're in the config file.
        # The application class allows 'command line' config to override config
        # loaded afterwards from the config file. So by specifying config, we
        # can use this mechanism.
        cfg = Config()
        cfg.NotebookApp.file_to_run = os.path.abspath(filename)
github konstellation-io / science-toolkit / vscode / extensions / ms-python.python-2020.3.69010 / pythonFiles / vscode_datascience_helpers / jupyter_daemon.py View on Github external
return self._execute_and_capture_output(self._print_kernel_list)
                elif args == ["kernelspec", "--version"]:
                    return self._execute_and_capture_output(
                        self._print_kernelspec_version
                    )
            if (
                args[0] == "nbconvert"
                and self._is_module_installed("nbconvert")
                and args[-1] != "--version"
            ):
                return self._execute_and_capture_output(lambda: self._convert(args))
            if args[0] == "notebook" and args[1] == "--version":
                try:
                    from notebook import notebookapp as app

                    return {"stdout": ".".join(list(str(v) for v in app.version_info))}
                except Exception:
                    pass
            # kernelspec, nbconvert are subcommands of jupyter.
            # python -m jupyter kernelspec, python -m jupyter nbconvert,
            # In such cases, even if the modules kernelspec or nbconvert are not installed in the current
            # environment, jupyter will find them in current path.
            # So if we cannot find the corresponding subcommands, lets revert to subprocess.
            self.log.info(
                "Exec in DS Daemon with as subprocess, %s with args %s",
                module_name,
                args,
            )
            return self._exec_with_subprocess(module_name, args, cwd, env)
        else:
            self.log.info("check base class stuff")
            return super().m_exec_module(module_name, args, cwd, env)
github twosigma / beakerx / beakerx / beakerx / commands.py View on Github external
def run_jupyter(jupyter_commands):
    app.launch_new_instance(jupyter_commands)