Пример #1
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def execute_notebook(source_notebook, destination_notebook, infra_args, papermill_args, notebooks_args):
    """Execute notebook with papermill.

    :param source_notebook: Source notebook file name
    :type source_notebook: str
    :param destination_notebook: Source notebook file name
    :type source_nodestination_notebooktebook: str
    :param infra_args: Infrastructure arguments
    :type infra_args: dict
    :param papermill_args: Papermill arguments
    :type papermill_args: dict
    :param notebooks_args: Notebook arguments
    :type notebooks_args: dict
    """
    import papermill as pm

    # if kernel name is specified
    kernel_name = papermill_args.get("kernel_name")

    # if not specified try to get it from the notebook
    if not kernel_name:
        with open(source_notebook) as nbfile:
            notebook = json.loads(nbfile.read())
        try:
            kernel_name = notebook.get("metadata").get("kernelspec").get("name")
        except:
            pass

    # create a kernel spec if not installed
    try:
        if kernel_name:
            from jupyter_client.kernelspec import KernelSpecManager
            if not KernelSpecManager().get_all_specs().get(kernel_name):
                # TODO: replace jupyter_client.kernelspec.KernelSpecManager logic
                from ipykernel.kernelspec import install
                install(kernel_name=kernel_name)
            papermill_args["kernel_name"] = kernel_name
    except:
        pass

    # execute notebook
    pm.execute_notebook(
        source_notebook,
        destination_notebook,
        parameters=notebooks_args,
        **papermill_args
    )

    # TODO scrapbook
    if infra_args.get("history"):
        batchsize = 50
        from azureml.core import Run
        results = pm.read_notebook(destination_notebook).dataframe.set_index("name")["value"]
        run = Run.get_context()
        for key, value in results.items():
            if isinstance(value, list):
                for index in range(0, len(value), batchsize):
                    run.log_list(key, value[index:index + batchsize])
            else:
                run.log(key, value)
Пример #2
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def render_ipynb(template_ipynb, rendered_ipynb, params=dict()):
    """Render the ipython notebook

    Args:
      template_ipynb: template ipython notebook where one cell defines the following metadata:
        {"tags": ["parameters"]}
      render_ipynb: output ipython notebook path
      params: parameters used to execute the ipython notebook
    """
    import jupyter_client

    os.makedirs(os.path.dirname(rendered_ipynb), exist_ok=True)
    kernel_name = os.environ.get("CONDA_DEFAULT_ENV", 'python3')
    if kernel_name not in jupyter_client.kernelspec.find_kernel_specs():
        logger.info(
            f"Installing the ipython kernel for the current conda environment: {kernel_name}"
        )
        from ipykernel.kernelspec import install
        install(user=True, kernel_name=kernel_name)

    pm.execute_notebook(
        template_ipynb,  # input template
        rendered_ipynb,
        kernel_name=kernel_name,  # default kernel
        parameters=params)
    jupyter_nbconvert(rendered_ipynb)
Пример #3
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    def install_native_kernel_spec(self, user=False):
        """DEPRECATED: Use ipykernel.kenelspec.install"""
        warnings.warn(
            "install_native_kernel_spec is deprecated." " Use ipykernel.kernelspec import install.", stacklevel=2
        )
        from ipykernel.kernelspec import install

        install(self, user=user)
Пример #4
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 def install_native_kernel_spec(self, user=False):
     """DEPRECATED: Use ipykernel.kenelspec.install"""
     warnings.warn(
         "install_native_kernel_spec is deprecated."
         " Use ipykernel.kernelspec import install.",
         stacklevel=2)
     from ipykernel.kernelspec import install
     install(self, user=user)
Пример #5
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def test_install():
    system_jupyter_dir = tempfile.mkdtemp()

    with mock.patch('jupyter_client.kernelspec.SYSTEM_JUPYTER_PATH',
                    [system_jupyter_dir]):
        install()

    assert_is_spec(os.path.join(system_jupyter_dir, 'kernels', KERNEL_NAME))
Пример #6
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def test_install_user():
    tmp = tempfile.mkdtemp()

    with mock.patch.dict(os.environ, {'HOME': tmp}):
        install(user=True)
        data_dir = jupyter_data_dir()

    assert_is_spec(os.path.join(data_dir, 'kernels', KERNEL_NAME))
Пример #7
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def test_install_user():
    tmp = tempfile.mkdtemp()
    
    with mock.patch.dict(os.environ, {'HOME': tmp}):
        install(user=True)
        data_dir = jupyter_data_dir()
    
    assert_is_spec(os.path.join(data_dir, 'kernels', KERNEL_NAME))
Пример #8
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def test_install():
    system_jupyter_dir = tempfile.mkdtemp()
    
    with mock.patch('jupyter_client.kernelspec.SYSTEM_JUPYTER_PATH',
            [system_jupyter_dir]):
        install()
    
    assert_is_spec(os.path.join(system_jupyter_dir, 'kernels', KERNEL_NAME))
Пример #9
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 def start(self):
     try:
         from ipykernel import kernelspec
     except ImportError:
         print("ipykernel not available, can't install its spec.", file=sys.stderr)
         self.exit(1)
     try:
         kernelspec.install(self.kernel_spec_manager, user=self.user)
     except OSError as e:
         self.exit(e)
Пример #10
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def test_install_display_name_overrides_profile():
    system_jupyter_dir = tempfile.mkdtemp()

    with mock.patch('jupyter_client.kernelspec.SYSTEM_JUPYTER_PATH',
            [system_jupyter_dir]):
        install(display_name="Display", profile="Test")

    spec = os.path.join(system_jupyter_dir, 'kernels', KERNEL_NAME, "kernel.json")
    with open(spec) as f:
        spec = json.load(f)
    assert spec["display_name"] == "Display"
Пример #11
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 def start(self):
     try:
         from ipykernel import kernelspec
     except ImportError:
         print("ipykernel not available, can't install its spec.",
               file=sys.stderr)
         self.exit(1)
     try:
         kernelspec.install(self.kernel_spec_manager, user=self.user)
     except OSError as e:
         self.exit(e)
Пример #12
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def test_install_display_name_overrides_profile():
    system_jupyter_dir = tempfile.mkdtemp()

    with mock.patch('jupyter_client.kernelspec.SYSTEM_JUPYTER_PATH',
            [system_jupyter_dir]):
        install(display_name="Display", profile="Test")

    spec = os.path.join(system_jupyter_dir, 'kernels', KERNEL_NAME, "kernel.json")
    with open(spec) as f:
        spec = json.load(f)
    nt.assert_equal(spec["display_name"], "Display")
Пример #13
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def setup():
    """setup temporary env for tests"""
    global tmp
    tmp = tempfile.mkdtemp()
    patchers[:] = [
        patch.dict(os.environ, {'HOME': tmp}),
    ]
    for p in patchers:
        p.start()

    # install IPython in the temp home:
    install(user=True)
Пример #14
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 def init_kernel_specs(self):
     """Check that the IPython kernel is present, if available"""
     try:
         self.kernel_spec_manager.get_kernel_spec(NATIVE_KERNEL_NAME)
     except NoSuchKernel:
         try:
             from ipykernel.kernelspec import install
         except ImportError:
             self.log.warn("IPython kernel not available")
         else:
             self.log.warn("Installing IPython kernel spec")
             install(kernel_spec_manager=self.kernel_spec_manager, user=True)
Пример #15
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def test_install_profile():
    system_jupyter_dir = tempfile.mkdtemp()

    with mock.patch('jupyter_client.kernelspec.SYSTEM_JUPYTER_PATH',
            [system_jupyter_dir]):
        install(profile="Test")

    spec = os.path.join(system_jupyter_dir, 'kernels', KERNEL_NAME, "kernel.json")
    with open(spec) as f:
        spec = json.load(f)
    assert spec["display_name"].endswith(" [profile=Test]")
    nt.assert_equal(spec["argv"][-2:], ["--profile", "Test"])
Пример #16
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def test_install_profile():
    system_jupyter_dir = tempfile.mkdtemp()

    with mock.patch('jupyter_client.kernelspec.SYSTEM_JUPYTER_PATH',
            [system_jupyter_dir]):
        install(profile="Test")

    spec = os.path.join(system_jupyter_dir, 'kernels', KERNEL_NAME, "kernel.json")
    with open(spec) as f:
        spec = json.load(f)
    nt.assert_true(spec["display_name"].endswith(" [profile=Test]"))
    nt.assert_equal(spec["argv"][-2:], ["--profile", "Test"])
Пример #17
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def setup():
    """setup temporary env for tests"""
    global tmp
    tmp = tempfile.mkdtemp()
    patchers[:] = [
        patch.dict(os.environ, {'HOME': tmp}),
    ]
    for p in patchers:
        p.start()
    
    # install IPython in the temp home:
    install(user=True)
Пример #18
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 def start(self):
     try:
         from ipykernel import kernelspec
     except ImportError:
         print("ipykernel not available, can't install its spec.", file=sys.stderr)
         self.exit(1)
     try:
         kernelspec.install(self.kernel_spec_manager, user=self.user)
     except OSError as e:
         if e.errno == errno.EACCES:
             print(e, file=sys.stderr)
             if not self.user:
                 print("Perhaps you want to install with `sudo` or `--user`?", file=sys.stderr)
             self.exit(1)
         self.exit(e)
Пример #19
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def setup():
    """setup temporary env for tests"""
    global tmp
    tmp = tempfile.mkdtemp()
    patchers[:] = [
        patch.dict(os.environ, {
            'HOME': tmp,
            # Let tests work with --user install when HOME is changed:
            'PYTHONPATH': os.pathsep.join(sys.path),
        }),
    ]
    for p in patchers:
        p.start()
    
    # install IPython in the temp home:
    install(user=True)
Пример #20
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def test_install_env(tmp_path, env):
    # python 3.5 // tmp_path must be converted to str
    with mock.patch('jupyter_client.kernelspec.SYSTEM_JUPYTER_PATH',
            [str(tmp_path)]):
        install(env=env)

    spec = tmp_path / 'kernels' / KERNEL_NAME / "kernel.json"
    with spec.open() as f:
        spec = json.load(f)

    if env:
        assert len(env) == len(spec['env'])
        for k, v in env.items():
            assert spec['env'][k] == v
    else:
        assert 'env' not in spec
Пример #21
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 def start(self):
     self.log.warn("`jupyter kernelspec install-self` is DEPRECATED as of 4.0."
         " You probably want `ipython kernel install` to install the IPython kernelspec.")
     try:
         from ipykernel import kernelspec
     except ImportError:
         print("ipykernel not available, can't install its spec.", file=sys.stderr)
         self.exit(1)
     try:
         kernelspec.install(self.kernel_spec_manager, user=self.user)
     except OSError as e:
         if e.errno == errno.EACCES:
             print(e, file=sys.stderr)
             if not self.user:
                 print("Perhaps you want to install with `sudo` or `--user`?", file=sys.stderr)
             self.exit(1)
         self.exit(e)
Пример #22
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 def start(self):
     try:
         from ipykernel import kernelspec
     except ImportError:
         print("ipykernel not available, can't install its spec.",
               file=sys.stderr)
         self.exit(1)
     try:
         kernelspec.install(self.kernel_spec_manager, user=self.user)
     except OSError as e:
         if e.errno == errno.EACCES:
             print(e, file=sys.stderr)
             if not self.user:
                 print(
                     "Perhaps you want to install with `sudo` or `--user`?",
                     file=sys.stderr)
             self.exit(1)
         self.exit(e)
Пример #23
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def setup():
    """setup temporary env for tests"""
    global tmp
    tmp = tempfile.mkdtemp()
    patchers[:] = [
        patch.dict(
            os.environ,
            {
                'HOME': tmp,
                # Let tests work with --user install when HOME is changed:
                'PYTHONPATH': os.pathsep.join(sys.path),
            }),
    ]
    for p in patchers:
        p.start()

    # install IPython in the temp home:
    install(user=True)
Пример #24
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def create_kernel(kernel, env, lang, proc, img, cmd):
    tmp_install = kernelspec.install(kernel_name=env, display_name=kernel, prefix='/tmp/')

    kernel_template['language'] = lang
    kernel_template['metadata']['process_proxy']['class_name'] = proc
    kernel_template['metadata']['process_proxy']['config']['image_name'] = img
    kernel_template['env']['KERNEL_USERNAME'] = environ.get('KERNEL_USERNAME')
    kernel_template['env']['KERNEL_ENV'] = env
    kernel_template['argv'][1] = cmd

    tmp_kernel = path.join(tmp_install, 'kernel.json')
    # write our modified kernel to our temp dir
    with open(tmp_kernel, 'w') as k:
        k.write(json.dumps(tmp_kernel))
    install_out = subprocess.check_output(["/opt/conda/bin/jupyter", "kernelspec", "install", "--prefix=/opt/conda", tmp_install])

    src = '/opt/conda/share/jupyter/kernels/python_tf_gpu_docker/scripts'
    dst = '/opt/conda/share/jupyter/kernels/{env}/scripts'.format(env=env)
    try:
        shutil.copytree(src, dst)
    except OSError as e:
        print(e)
        raise e
Пример #25
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 def install_ipykernel(self):
     install(user=True)
     print('done')
Пример #26
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 def __enter__(self):
     ipyk.install(user=True,
                  kernel_name=self.kernel,
                  display_name=self.kernel)
     return self