CfnUserProfile

class aws_cdk.aws_sagemaker.CfnUserProfile(scope, id, *, domain_id, user_profile_name, single_sign_on_user_identifier=None, single_sign_on_user_value=None, tags=None, user_settings=None)

Bases: CfnResource

Creates a user profile.

A user profile represents a single user within a domain, and is the main way to reference a “person” for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to Amazon SageMaker Studio. If an administrator invites a person by email or imports them from IAM Identity Center , a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user’s private Amazon Elastic File System (EFS) home directory. .. epigraph:

If you're using IAM Identity Center authentication, a user in IAM Identity Center , or a group in IAM Identity Center containing that user, must be assigned to the Amazon SageMaker Studio application from the IAM Identity Center Console to create a user profile. For more information about application assignment, see `Assign user access <https://docs.aws.amazon.com/singlesignon/latest/userguide/assignuserstoapp.html>`_ . After assignment is complete, a user profile can be created for that user in IAM Identity Center with AWS CloudFormation.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-userprofile.html
CloudformationResource:: AWS::SageMaker::UserProfile
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

cfn_user_profile = sagemaker.CfnUserProfile(self, "MyCfnUserProfile",
    domain_id="domainId",
    user_profile_name="userProfileName",

    # the properties below are optional
    single_sign_on_user_identifier="singleSignOnUserIdentifier",
    single_sign_on_user_value="singleSignOnUserValue",
    tags=[CfnTag(
        key="key",
        value="value"
    )],
    user_settings=sagemaker.CfnUserProfile.UserSettingsProperty(
        code_editor_app_settings=sagemaker.CfnUserProfile.CodeEditorAppSettingsProperty(
            app_lifecycle_management=sagemaker.CfnUserProfile.AppLifecycleManagementProperty(
                idle_settings=sagemaker.CfnUserProfile.IdleSettingsProperty(
                    idle_timeout_in_minutes=123,
                    lifecycle_management="lifecycleManagement",
                    max_idle_timeout_in_minutes=123,
                    min_idle_timeout_in_minutes=123
                )
            ),
            custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
                app_image_config_name="appImageConfigName",
                image_name="imageName",

                # the properties below are optional
                image_version_number=123
            )],
            default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
                instance_type="instanceType",
                lifecycle_config_arn="lifecycleConfigArn",
                sage_maker_image_arn="sageMakerImageArn",
                sage_maker_image_version_arn="sageMakerImageVersionArn"
            ),
            lifecycle_config_arns=["lifecycleConfigArns"]
        ),
        custom_file_system_configs=[sagemaker.CfnUserProfile.CustomFileSystemConfigProperty(
            efs_file_system_config=sagemaker.CfnUserProfile.EFSFileSystemConfigProperty(
                file_system_id="fileSystemId",

                # the properties below are optional
                file_system_path="fileSystemPath"
            )
        )],
        custom_posix_user_config=sagemaker.CfnUserProfile.CustomPosixUserConfigProperty(
            gid=123,
            uid=123
        ),
        default_landing_uri="defaultLandingUri",
        execution_role="executionRole",
        jupyter_lab_app_settings=sagemaker.CfnUserProfile.JupyterLabAppSettingsProperty(
            app_lifecycle_management=sagemaker.CfnUserProfile.AppLifecycleManagementProperty(
                idle_settings=sagemaker.CfnUserProfile.IdleSettingsProperty(
                    idle_timeout_in_minutes=123,
                    lifecycle_management="lifecycleManagement",
                    max_idle_timeout_in_minutes=123,
                    min_idle_timeout_in_minutes=123
                )
            ),
            code_repositories=[sagemaker.CfnUserProfile.CodeRepositoryProperty(
                repository_url="repositoryUrl"
            )],
            custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
                app_image_config_name="appImageConfigName",
                image_name="imageName",

                # the properties below are optional
                image_version_number=123
            )],
            default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
                instance_type="instanceType",
                lifecycle_config_arn="lifecycleConfigArn",
                sage_maker_image_arn="sageMakerImageArn",
                sage_maker_image_version_arn="sageMakerImageVersionArn"
            ),
            lifecycle_config_arns=["lifecycleConfigArns"]
        ),
        jupyter_server_app_settings=sagemaker.CfnUserProfile.JupyterServerAppSettingsProperty(
            default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
                instance_type="instanceType",
                lifecycle_config_arn="lifecycleConfigArn",
                sage_maker_image_arn="sageMakerImageArn",
                sage_maker_image_version_arn="sageMakerImageVersionArn"
            ),
            lifecycle_config_arns=["lifecycleConfigArns"]
        ),
        kernel_gateway_app_settings=sagemaker.CfnUserProfile.KernelGatewayAppSettingsProperty(
            custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
                app_image_config_name="appImageConfigName",
                image_name="imageName",

                # the properties below are optional
                image_version_number=123
            )],
            default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
                instance_type="instanceType",
                lifecycle_config_arn="lifecycleConfigArn",
                sage_maker_image_arn="sageMakerImageArn",
                sage_maker_image_version_arn="sageMakerImageVersionArn"
            ),
            lifecycle_config_arns=["lifecycleConfigArns"]
        ),
        r_studio_server_pro_app_settings=sagemaker.CfnUserProfile.RStudioServerProAppSettingsProperty(
            access_status="accessStatus",
            user_group="userGroup"
        ),
        security_groups=["securityGroups"],
        sharing_settings=sagemaker.CfnUserProfile.SharingSettingsProperty(
            notebook_output_option="notebookOutputOption",
            s3_kms_key_id="s3KmsKeyId",
            s3_output_path="s3OutputPath"
        ),
        space_storage_settings=sagemaker.CfnUserProfile.DefaultSpaceStorageSettingsProperty(
            default_ebs_storage_settings=sagemaker.CfnUserProfile.DefaultEbsStorageSettingsProperty(
                default_ebs_volume_size_in_gb=123,
                maximum_ebs_volume_size_in_gb=123
            )
        ),
        studio_web_portal="studioWebPortal",
        studio_web_portal_settings=sagemaker.CfnUserProfile.StudioWebPortalSettingsProperty(
            hidden_app_types=["hiddenAppTypes"],
            hidden_ml_tools=["hiddenMlTools"]
        )
    )
)

Parameters:

scope (Construct) – Scope in which this resource is defined.
id (str) – Construct identifier for this resource (unique in its scope).
domain_id (str) – The domain ID.
user_profile_name (str) – The user profile name.
single_sign_on_user_identifier (Optional[str]) – A specifier for the type of value specified in SingleSignOnUserValue. Currently, the only supported value is “UserName”. If the Domain’s AuthMode is IAM Identity Center , this field is required. If the Domain’s AuthMode is not IAM Identity Center , this field cannot be specified.
single_sign_on_user_value (Optional[str]) – The username of the associated AWS Single Sign-On User for this UserProfile. If the Domain’s AuthMode is IAM Identity Center , this field is required, and must match a valid username of a user in your directory. If the Domain’s AuthMode is not IAM Identity Center , this field cannot be specified.
tags (Optional[Sequence[Union[CfnTag, Dict[str, Any]]]]) – An array of key-value pairs to apply to this resource. Tags that you specify for the User Profile are also added to all apps that the User Profile launches. For more information, see Tag .
user_settings (Union[IResolvable, UserSettingsProperty, Dict[str, Any], None]) – A collection of settings that apply to users of Amazon SageMaker Studio.

Methods

add_deletion_override(path)

Syntactic sugar for addOverride(path, undefined).

Parameters:: path (str) – The path of the value to delete.
Return type:: None

add_dependency(target)

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.

Parameters:

target (CfnResource) –

Return type:

None

add_depends_on(target)

(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

Parameters:

target (CfnResource) –

Deprecated:

use addDependency

Stability:

deprecated

Return type:

None

add_metadata(key, value)

Add a value to the CloudFormation Resource Metadata.

Parameters:

key (str) –
value (Any) –

See:

Return type:

None

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

add_override(path, value)

Adds an override to the synthesized CloudFormation resource.

To add a property override, either use addPropertyOverride or prefix path with “Properties.” (i.e. Properties.TopicName).

If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.

To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.

For example:

cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"])
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")

would add the overrides Example:

"Properties": {
  "GlobalSecondaryIndexes": [
    {
      "Projection": {
        "NonKeyAttributes": [ "myattribute" ]
        ...
      }
      ...
    },
    {
      "ProjectionType": "INCLUDE"
      ...
    },
  ]
  ...
}

The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.

Parameters:

path (str) –
- The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (Any) –
- The value. Could be primitive or complex.

Return type:

None

add_property_deletion_override(property_path)

Adds an override that deletes the value of a property from the resource definition.

Parameters:: property_path (str) – The path to the property.
Return type:: None

add_property_override(property_path, value)

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).

Parameters:

property_path (str) – The path of the property.
value (Any) – The value.

Return type:

None

apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)

Sets the deletion policy of the resource based on the removal policy specified.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:

Parameters:

policy (Optional[RemovalPolicy]) –
apply_to_update_replace_policy (Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: true
default (Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.

See:

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html#aws-attribute-deletionpolicy-options

Return type:

None

get_att(attribute_name, type_hint=None)

Returns a token for an runtime attribute of this resource.

Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.

Parameters:

attribute_name (str) – The name of the attribute.
type_hint (Optional[ResolutionTypeHint]) –

Return type:

Reference

get_metadata(key)

Retrieve a value value from the CloudFormation Resource Metadata.

Parameters:

key (str) –

See:

Return type:

Any

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

inspect(inspector)

Examines the CloudFormation resource and discloses attributes.

Parameters:: inspector (TreeInspector) – tree inspector to collect and process attributes.
Return type:: None

obtain_dependencies()

Retrieves an array of resources this resource depends on.

This assembles dependencies on resources across stacks (including nested stacks) automatically.

Return type:: List[Union[Stack, CfnResource]]

obtain_resource_dependencies()

Get a shallow copy of dependencies between this resource and other resources in the same stack.

Return type:: List[CfnResource]

override_logical_id(new_logical_id)

Overrides the auto-generated logical ID with a specific ID.

Parameters:: new_logical_id (str) – The new logical ID to use for this stack element.
Return type:: None

remove_dependency(target)

Indicates that this resource no longer depends on another resource.

This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.

Parameters:

target (CfnResource) –

Return type:

None

replace_dependency(target, new_target)

Replaces one dependency with another.

Parameters:

target (CfnResource) – The dependency to replace.
new_target (CfnResource) – The new dependency to add.

Return type:

None

to_string()

Returns a string representation of this construct.

Return type:: str
Returns:: a string representation of this resource

Attributes

CFN_RESOURCE_TYPE_NAME = 'AWS::SageMaker::UserProfile'

attr_user_profile_arn

The Amazon Resource Name (ARN) of the user profile, such as arn:aws:sagemaker:region:account-id:user-profile/domain-id/user-profile-name .

CloudformationAttribute:: UserProfileArn

cfn_options: Options for this resource, such as condition, update policy etc.

cfn_resource_type: AWS resource type.

creation_stack

return:

the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.

domain_id: The domain ID.

logical_id

The logical ID for this CloudFormation stack element.

The logical ID of the element is calculated from the path of the resource node in the construct tree.

To override this value, use overrideLogicalId(newLogicalId).

Returns:

the logical ID as a stringified token. This value will only get resolved during synthesis.

node: The tree node.

ref

Return a string that will be resolved to a CloudFormation { Ref } for this element.

If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).

single_sign_on_user_identifier: A specifier for the type of value specified in SingleSignOnUserValue.

single_sign_on_user_value: The username of the associated AWS Single Sign-On User for this UserProfile.

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

tags: Tag Manager which manages the tags for this resource.

tags_raw: An array of key-value pairs to apply to this resource.

user_profile_name: The user profile name.

user_settings: A collection of settings that apply to users of Amazon SageMaker Studio.

Static Methods

classmethod is_cfn_element(x)

Returns true if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.

Parameters:

x (Any) –

Return type:

bool

Returns:

The construct as a stack element or undefined if it is not a stack element.

classmethod is_cfn_resource(x)

Check whether the given object is a CfnResource.

Parameters:

x (Any) –

Return type:

bool

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Construct.

AppLifecycleManagementProperty

class CfnUserProfile.AppLifecycleManagementProperty(*, idle_settings=None)

Bases: object

Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications.

Parameters:: idle_settings (Union[IResolvable, IdleSettingsProperty, Dict[str, Any], None]) – Settings related to idle shutdown of Studio applications.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-applifecyclemanagement.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

app_lifecycle_management_property = sagemaker.CfnUserProfile.AppLifecycleManagementProperty(
    idle_settings=sagemaker.CfnUserProfile.IdleSettingsProperty(
        idle_timeout_in_minutes=123,
        lifecycle_management="lifecycleManagement",
        max_idle_timeout_in_minutes=123,
        min_idle_timeout_in_minutes=123
    )
)

Attributes

idle_settings

Settings related to idle shutdown of Studio applications.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-applifecyclemanagement.html#cfn-sagemaker-userprofile-applifecyclemanagement-idlesettings

CodeEditorAppSettingsProperty

class CfnUserProfile.CodeEditorAppSettingsProperty(*, app_lifecycle_management=None, custom_images=None, default_resource_spec=None, lifecycle_config_arns=None)

Bases: object

The Code Editor application settings.

For more information about Code Editor, see Get started with Code Editor in Amazon SageMaker .

Parameters:

app_lifecycle_management (Union[IResolvable, AppLifecycleManagementProperty, Dict[str, Any], None]) – Settings that are used to configure and manage the lifecycle of CodeEditor applications.
custom_images (Union[IResolvable, Sequence[Union[IResolvable, CustomImageProperty, Dict[str, Any]]], None]) – A list of custom SageMaker images that are configured to run as a Code Editor app.
default_resource_spec (Union[IResolvable, ResourceSpecProperty, Dict[str, Any], None]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the Code Editor app.
lifecycle_config_arns (Optional[Sequence[str]]) – The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-codeeditorappsettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

code_editor_app_settings_property = sagemaker.CfnUserProfile.CodeEditorAppSettingsProperty(
    app_lifecycle_management=sagemaker.CfnUserProfile.AppLifecycleManagementProperty(
        idle_settings=sagemaker.CfnUserProfile.IdleSettingsProperty(
            idle_timeout_in_minutes=123,
            lifecycle_management="lifecycleManagement",
            max_idle_timeout_in_minutes=123,
            min_idle_timeout_in_minutes=123
        )
    ),
    custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
        app_image_config_name="appImageConfigName",
        image_name="imageName",

        # the properties below are optional
        image_version_number=123
    )],
    default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
        instance_type="instanceType",
        lifecycle_config_arn="lifecycleConfigArn",
        sage_maker_image_arn="sageMakerImageArn",
        sage_maker_image_version_arn="sageMakerImageVersionArn"
    ),
    lifecycle_config_arns=["lifecycleConfigArns"]
)

Attributes

app_lifecycle_management

Settings that are used to configure and manage the lifecycle of CodeEditor applications.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-codeeditorappsettings.html#cfn-sagemaker-userprofile-codeeditorappsettings-applifecyclemanagement

custom_images

A list of custom SageMaker images that are configured to run as a Code Editor app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-codeeditorappsettings.html#cfn-sagemaker-userprofile-codeeditorappsettings-customimages

default_resource_spec

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the Code Editor app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-codeeditorappsettings.html#cfn-sagemaker-userprofile-codeeditorappsettings-defaultresourcespec

lifecycle_config_arns

The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-codeeditorappsettings.html#cfn-sagemaker-userprofile-codeeditorappsettings-lifecycleconfigarns

CodeRepositoryProperty

class CfnUserProfile.CodeRepositoryProperty(*, repository_url)

Bases: object

A Git repository that SageMaker automatically displays to users for cloning in the JupyterServer application.

Parameters:: repository_url (str) – The URL of the Git repository.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-coderepository.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

code_repository_property = sagemaker.CfnUserProfile.CodeRepositoryProperty(
    repository_url="repositoryUrl"
)

Attributes

repository_url

The URL of the Git repository.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-coderepository.html#cfn-sagemaker-userprofile-coderepository-repositoryurl

CustomFileSystemConfigProperty

class CfnUserProfile.CustomFileSystemConfigProperty(*, efs_file_system_config=None)

Bases: object

The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker Domain.

Permitted users can access this file system in Amazon SageMaker Studio.

Parameters:: efs_file_system_config (Union[IResolvable, EFSFileSystemConfigProperty, Dict[str, Any], None]) – The settings for a custom Amazon EFS file system.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customfilesystemconfig.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

custom_file_system_config_property = sagemaker.CfnUserProfile.CustomFileSystemConfigProperty(
    efs_file_system_config=sagemaker.CfnUserProfile.EFSFileSystemConfigProperty(
        file_system_id="fileSystemId",

        # the properties below are optional
        file_system_path="fileSystemPath"
    )
)

Attributes

efs_file_system_config

The settings for a custom Amazon EFS file system.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customfilesystemconfig.html#cfn-sagemaker-userprofile-customfilesystemconfig-efsfilesystemconfig

CustomImageProperty

class CfnUserProfile.CustomImageProperty(*, app_image_config_name, image_name, image_version_number=None)

Bases: object

A custom SageMaker image.

For more information, see Bring your own SageMaker image .

Parameters:

app_image_config_name (str) – The name of the AppImageConfig.
image_name (str) – The name of the CustomImage. Must be unique to your account.
image_version_number (Union[int, float, None]) – The version number of the CustomImage.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customimage.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

custom_image_property = sagemaker.CfnUserProfile.CustomImageProperty(
    app_image_config_name="appImageConfigName",
    image_name="imageName",

    # the properties below are optional
    image_version_number=123
)

Attributes

app_image_config_name

The name of the AppImageConfig.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customimage.html#cfn-sagemaker-userprofile-customimage-appimageconfigname

image_name

The name of the CustomImage.

Must be unique to your account.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customimage.html#cfn-sagemaker-userprofile-customimage-imagename

image_version_number

The version number of the CustomImage.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customimage.html#cfn-sagemaker-userprofile-customimage-imageversionnumber

CustomPosixUserConfigProperty

class CfnUserProfile.CustomPosixUserConfigProperty(*, gid, uid)

Bases: object

Details about the POSIX identity that is used for file system operations.

Parameters:

gid (Union[int, float]) – The POSIX group ID.
uid (Union[int, float]) – The POSIX user ID.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customposixuserconfig.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

custom_posix_user_config_property = sagemaker.CfnUserProfile.CustomPosixUserConfigProperty(
    gid=123,
    uid=123
)

Attributes

gid

The POSIX group ID.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customposixuserconfig.html#cfn-sagemaker-userprofile-customposixuserconfig-gid

uid

The POSIX user ID.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customposixuserconfig.html#cfn-sagemaker-userprofile-customposixuserconfig-uid

DefaultEbsStorageSettingsProperty

class CfnUserProfile.DefaultEbsStorageSettingsProperty(*, default_ebs_volume_size_in_gb, maximum_ebs_volume_size_in_gb)

Bases: object

A collection of default EBS storage settings that apply to spaces created within a domain or user profile.

Parameters:

default_ebs_volume_size_in_gb (Union[int, float]) – The default size of the EBS storage volume for a space.
maximum_ebs_volume_size_in_gb (Union[int, float]) – The maximum size of the EBS storage volume for a space.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-defaultebsstoragesettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

default_ebs_storage_settings_property = sagemaker.CfnUserProfile.DefaultEbsStorageSettingsProperty(
    default_ebs_volume_size_in_gb=123,
    maximum_ebs_volume_size_in_gb=123
)

Attributes

default_ebs_volume_size_in_gb

The default size of the EBS storage volume for a space.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-defaultebsstoragesettings.html#cfn-sagemaker-userprofile-defaultebsstoragesettings-defaultebsvolumesizeingb

maximum_ebs_volume_size_in_gb

The maximum size of the EBS storage volume for a space.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-defaultebsstoragesettings.html#cfn-sagemaker-userprofile-defaultebsstoragesettings-maximumebsvolumesizeingb

DefaultSpaceStorageSettingsProperty

class CfnUserProfile.DefaultSpaceStorageSettingsProperty(*, default_ebs_storage_settings=None)

Bases: object

The default storage settings for a space.

Parameters:: default_ebs_storage_settings (Union[IResolvable, DefaultEbsStorageSettingsProperty, Dict[str, Any], None]) – The default EBS storage settings for a space.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-defaultspacestoragesettings.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

default_space_storage_settings_property = sagemaker.CfnUserProfile.DefaultSpaceStorageSettingsProperty(
    default_ebs_storage_settings=sagemaker.CfnUserProfile.DefaultEbsStorageSettingsProperty(
        default_ebs_volume_size_in_gb=123,
        maximum_ebs_volume_size_in_gb=123
    )
)

Attributes

default_ebs_storage_settings

The default EBS storage settings for a space.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-defaultspacestoragesettings.html#cfn-sagemaker-userprofile-defaultspacestoragesettings-defaultebsstoragesettings

EFSFileSystemConfigProperty

class CfnUserProfile.EFSFileSystemConfigProperty(*, file_system_id, file_system_path=None)

Bases: object

The settings for assigning a custom Amazon EFS file system to a user profile or space for an Amazon SageMaker Domain.

Parameters:

file_system_id (str) – The ID of your Amazon EFS file system.
file_system_path (Optional[str]) – The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-efsfilesystemconfig.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

e_fSFile_system_config_property = sagemaker.CfnUserProfile.EFSFileSystemConfigProperty(
    file_system_id="fileSystemId",

    # the properties below are optional
    file_system_path="fileSystemPath"
)

Attributes

file_system_id

The ID of your Amazon EFS file system.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-efsfilesystemconfig.html#cfn-sagemaker-userprofile-efsfilesystemconfig-filesystemid

file_system_path

The path to the file system directory that is accessible in Amazon SageMaker Studio.

Permitted users can access only this directory and below.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-efsfilesystemconfig.html#cfn-sagemaker-userprofile-efsfilesystemconfig-filesystempath

IdleSettingsProperty

class CfnUserProfile.IdleSettingsProperty(*, idle_timeout_in_minutes=None, lifecycle_management=None, max_idle_timeout_in_minutes=None, min_idle_timeout_in_minutes=None)

Bases: object

Settings related to idle shutdown of Studio applications.

Parameters:

idle_timeout_in_minutes (Union[int, float, None]) – The time that SageMaker waits after the application becomes idle before shutting it down.
lifecycle_management (Optional[str]) – Indicates whether idle shutdown is activated for the application type.
max_idle_timeout_in_minutes (Union[int, float, None]) – The maximum value in minutes that custom idle shutdown can be set to by the user.
min_idle_timeout_in_minutes (Union[int, float, None]) – The minimum value in minutes that custom idle shutdown can be set to by the user.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-idlesettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

idle_settings_property = sagemaker.CfnUserProfile.IdleSettingsProperty(
    idle_timeout_in_minutes=123,
    lifecycle_management="lifecycleManagement",
    max_idle_timeout_in_minutes=123,
    min_idle_timeout_in_minutes=123
)

Attributes

idle_timeout_in_minutes

The time that SageMaker waits after the application becomes idle before shutting it down.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-idlesettings.html#cfn-sagemaker-userprofile-idlesettings-idletimeoutinminutes

lifecycle_management

Indicates whether idle shutdown is activated for the application type.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-idlesettings.html#cfn-sagemaker-userprofile-idlesettings-lifecyclemanagement

max_idle_timeout_in_minutes

The maximum value in minutes that custom idle shutdown can be set to by the user.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-idlesettings.html#cfn-sagemaker-userprofile-idlesettings-maxidletimeoutinminutes

min_idle_timeout_in_minutes

The minimum value in minutes that custom idle shutdown can be set to by the user.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-idlesettings.html#cfn-sagemaker-userprofile-idlesettings-minidletimeoutinminutes

JupyterLabAppSettingsProperty

class CfnUserProfile.JupyterLabAppSettingsProperty(*, app_lifecycle_management=None, code_repositories=None, custom_images=None, default_resource_spec=None, lifecycle_config_arns=None)

Bases: object

The settings for the JupyterLab application.

Parameters:

app_lifecycle_management (Union[IResolvable, AppLifecycleManagementProperty, Dict[str, Any], None]) – Indicates whether idle shutdown is activated for JupyterLab applications.
code_repositories (Union[IResolvable, Sequence[Union[IResolvable, CodeRepositoryProperty, Dict[str, Any]]], None]) – A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
custom_images (Union[IResolvable, Sequence[Union[IResolvable, CustomImageProperty, Dict[str, Any]]], None]) – A list of custom SageMaker images that are configured to run as a JupyterLab app.
default_resource_spec (Union[IResolvable, ResourceSpecProperty, Dict[str, Any], None]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterLab app.
lifecycle_config_arns (Optional[Sequence[str]]) – The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterlabappsettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

jupyter_lab_app_settings_property = sagemaker.CfnUserProfile.JupyterLabAppSettingsProperty(
    app_lifecycle_management=sagemaker.CfnUserProfile.AppLifecycleManagementProperty(
        idle_settings=sagemaker.CfnUserProfile.IdleSettingsProperty(
            idle_timeout_in_minutes=123,
            lifecycle_management="lifecycleManagement",
            max_idle_timeout_in_minutes=123,
            min_idle_timeout_in_minutes=123
        )
    ),
    code_repositories=[sagemaker.CfnUserProfile.CodeRepositoryProperty(
        repository_url="repositoryUrl"
    )],
    custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
        app_image_config_name="appImageConfigName",
        image_name="imageName",

        # the properties below are optional
        image_version_number=123
    )],
    default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
        instance_type="instanceType",
        lifecycle_config_arn="lifecycleConfigArn",
        sage_maker_image_arn="sageMakerImageArn",
        sage_maker_image_version_arn="sageMakerImageVersionArn"
    ),
    lifecycle_config_arns=["lifecycleConfigArns"]
)

Attributes

app_lifecycle_management

Indicates whether idle shutdown is activated for JupyterLab applications.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterlabappsettings.html#cfn-sagemaker-userprofile-jupyterlabappsettings-applifecyclemanagement

code_repositories

A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterlabappsettings.html#cfn-sagemaker-userprofile-jupyterlabappsettings-coderepositories

custom_images

A list of custom SageMaker images that are configured to run as a JupyterLab app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterlabappsettings.html#cfn-sagemaker-userprofile-jupyterlabappsettings-customimages

default_resource_spec

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterLab app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterlabappsettings.html#cfn-sagemaker-userprofile-jupyterlabappsettings-defaultresourcespec

lifecycle_config_arns

The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain.

To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterlabappsettings.html#cfn-sagemaker-userprofile-jupyterlabappsettings-lifecycleconfigarns

JupyterServerAppSettingsProperty

class CfnUserProfile.JupyterServerAppSettingsProperty(*, default_resource_spec=None, lifecycle_config_arns=None)

Bases: object

The JupyterServer app settings.

Parameters:

default_resource_spec (Union[IResolvable, ResourceSpecProperty, Dict[str, Any], None]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.
lifecycle_config_arns (Optional[Sequence[str]]) – The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required. .. epigraph:: To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterserverappsettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

jupyter_server_app_settings_property = sagemaker.CfnUserProfile.JupyterServerAppSettingsProperty(
    default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
        instance_type="instanceType",
        lifecycle_config_arn="lifecycleConfigArn",
        sage_maker_image_arn="sageMakerImageArn",
        sage_maker_image_version_arn="sageMakerImageVersionArn"
    ),
    lifecycle_config_arns=["lifecycleConfigArns"]
)

Attributes

default_resource_spec

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterserverappsettings.html#cfn-sagemaker-userprofile-jupyterserverappsettings-defaultresourcespec

lifecycle_config_arns

The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.

If you use this parameter, the DefaultResourceSpec parameter is also required. .. epigraph:

To remove a Lifecycle Config, you must set ``LifecycleConfigArns`` to an empty list.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterserverappsettings.html#cfn-sagemaker-userprofile-jupyterserverappsettings-lifecycleconfigarns

KernelGatewayAppSettingsProperty

class CfnUserProfile.KernelGatewayAppSettingsProperty(*, custom_images=None, default_resource_spec=None, lifecycle_config_arns=None)

Bases: object

The KernelGateway app settings.

Parameters:

custom_images (Union[IResolvable, Sequence[Union[IResolvable, CustomImageProperty, Dict[str, Any]]], None]) – A list of custom SageMaker images that are configured to run as a KernelGateway app.
default_resource_spec (Union[IResolvable, ResourceSpecProperty, Dict[str, Any], None]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app. .. epigraph:: The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the AWS CLI or AWS CloudFormation and the instance type parameter value is not passed.
lifecycle_config_arns (Optional[Sequence[str]]) – The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain. .. epigraph:: To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-kernelgatewayappsettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

kernel_gateway_app_settings_property = sagemaker.CfnUserProfile.KernelGatewayAppSettingsProperty(
    custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
        app_image_config_name="appImageConfigName",
        image_name="imageName",

        # the properties below are optional
        image_version_number=123
    )],
    default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
        instance_type="instanceType",
        lifecycle_config_arn="lifecycleConfigArn",
        sage_maker_image_arn="sageMakerImageArn",
        sage_maker_image_version_arn="sageMakerImageVersionArn"
    ),
    lifecycle_config_arns=["lifecycleConfigArns"]
)

Attributes

custom_images

A list of custom SageMaker images that are configured to run as a KernelGateway app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-kernelgatewayappsettings.html#cfn-sagemaker-userprofile-kernelgatewayappsettings-customimages

default_resource_spec

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.

The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the AWS CLI or AWS CloudFormation and the instance type parameter value is not passed.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-kernelgatewayappsettings.html#cfn-sagemaker-userprofile-kernelgatewayappsettings-defaultresourcespec

lifecycle_config_arns

The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-kernelgatewayappsettings.html#cfn-sagemaker-userprofile-kernelgatewayappsettings-lifecycleconfigarns

RStudioServerProAppSettingsProperty

class CfnUserProfile.RStudioServerProAppSettingsProperty(*, access_status=None, user_group=None)

Bases: object

A collection of settings that configure user interaction with the RStudioServerPro app.

Parameters:

access_status (Optional[str]) – Indicates whether the current user has access to the RStudioServerPro app.
user_group (Optional[str]) – The level of permissions that the user has within the RStudioServerPro app. This value defaults to User. The Admin value allows the user access to the RStudio Administrative Dashboard.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-rstudioserverproappsettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

r_studio_server_pro_app_settings_property = sagemaker.CfnUserProfile.RStudioServerProAppSettingsProperty(
    access_status="accessStatus",
    user_group="userGroup"
)

Attributes

access_status

Indicates whether the current user has access to the RStudioServerPro app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-rstudioserverproappsettings.html#cfn-sagemaker-userprofile-rstudioserverproappsettings-accessstatus

user_group

The level of permissions that the user has within the RStudioServerPro app.

This value defaults to User. The Admin value allows the user access to the RStudio Administrative Dashboard.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-rstudioserverproappsettings.html#cfn-sagemaker-userprofile-rstudioserverproappsettings-usergroup

ResourceSpecProperty

class CfnUserProfile.ResourceSpecProperty(*, instance_type=None, lifecycle_config_arn=None, sage_maker_image_arn=None, sage_maker_image_version_arn=None)

Bases: object

Specifies the ARN’s of a SageMaker image and SageMaker image version, and the instance type that the version runs on.

Parameters:

instance_type (Optional[str]) – The instance type that the image version runs on. .. epigraph:: JupyterServer apps only support the system value. For KernelGateway apps , the system value is translated to ml.t3.medium . KernelGateway apps also support all other values for available instance types.
lifecycle_config_arn (Optional[str]) – The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
sage_maker_image_arn (Optional[str]) – The ARN of the SageMaker image that the image version belongs to.
sage_maker_image_version_arn (Optional[str]) – The ARN of the image version created on the instance.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-resourcespec.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

resource_spec_property = sagemaker.CfnUserProfile.ResourceSpecProperty(
    instance_type="instanceType",
    lifecycle_config_arn="lifecycleConfigArn",
    sage_maker_image_arn="sageMakerImageArn",
    sage_maker_image_version_arn="sageMakerImageVersionArn"
)

Attributes

instance_type

The instance type that the image version runs on.

JupyterServer apps only support the system value.

For KernelGateway apps , the system value is translated to ml.t3.medium . KernelGateway apps also support all other values for available instance types.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-resourcespec.html#cfn-sagemaker-userprofile-resourcespec-instancetype

lifecycle_config_arn

The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-resourcespec.html#cfn-sagemaker-userprofile-resourcespec-lifecycleconfigarn

sage_maker_image_arn

The ARN of the SageMaker image that the image version belongs to.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-resourcespec.html#cfn-sagemaker-userprofile-resourcespec-sagemakerimagearn

sage_maker_image_version_arn

The ARN of the image version created on the instance.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-resourcespec.html#cfn-sagemaker-userprofile-resourcespec-sagemakerimageversionarn

SharingSettingsProperty

class CfnUserProfile.SharingSettingsProperty(*, notebook_output_option=None, s3_kms_key_id=None, s3_output_path=None)

Bases: object

Specifies options when sharing an Amazon SageMaker Studio notebook.

These settings are specified as part of DefaultUserSettings when the CreateDomain API is called, and as part of UserSettings when the CreateUserProfile API is called.

Parameters:

notebook_output_option (Optional[str]) – Whether to include the notebook cell output when sharing the notebook. The default is Disabled .
s3_kms_key_id (Optional[str]) – When NotebookOutputOption is Allowed , the AWS Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.
s3_output_path (Optional[str]) – When NotebookOutputOption is Allowed , the Amazon S3 bucket used to store the shared notebook snapshots.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-sharingsettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

sharing_settings_property = sagemaker.CfnUserProfile.SharingSettingsProperty(
    notebook_output_option="notebookOutputOption",
    s3_kms_key_id="s3KmsKeyId",
    s3_output_path="s3OutputPath"
)

Attributes

notebook_output_option

Whether to include the notebook cell output when sharing the notebook.

The default is Disabled .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-sharingsettings.html#cfn-sagemaker-userprofile-sharingsettings-notebookoutputoption

s3_kms_key_id

When NotebookOutputOption is Allowed , the AWS Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-sharingsettings.html#cfn-sagemaker-userprofile-sharingsettings-s3kmskeyid

s3_output_path

When NotebookOutputOption is Allowed , the Amazon S3 bucket used to store the shared notebook snapshots.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-sharingsettings.html#cfn-sagemaker-userprofile-sharingsettings-s3outputpath

StudioWebPortalSettingsProperty

class CfnUserProfile.StudioWebPortalSettingsProperty(*, hidden_app_types=None, hidden_ml_tools=None)

Bases: object

Studio settings.

If these settings are applied on a user level, they take priority over the settings applied on a domain level.

Parameters:

hidden_app_types (Optional[Sequence[str]]) – The Applications supported in Studio that are hidden from the Studio left navigation pane.
hidden_ml_tools (Optional[Sequence[str]]) – The machine learning tools that are hidden from the Studio left navigation pane.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-studiowebportalsettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

studio_web_portal_settings_property = sagemaker.CfnUserProfile.StudioWebPortalSettingsProperty(
    hidden_app_types=["hiddenAppTypes"],
    hidden_ml_tools=["hiddenMlTools"]
)

Attributes

hidden_app_types

//docs.aws.amazon.com/sagemaker/latest/dg/studio-updated-apps.html>`_ that are hidden from the Studio left navigation pane.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-studiowebportalsettings.html#cfn-sagemaker-userprofile-studiowebportalsettings-hiddenapptypes
Type:: The `Applications supported in Studio <https

hidden_ml_tools

The machine learning tools that are hidden from the Studio left navigation pane.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-studiowebportalsettings.html#cfn-sagemaker-userprofile-studiowebportalsettings-hiddenmltools

UserSettingsProperty

class CfnUserProfile.UserSettingsProperty(*, code_editor_app_settings=None, custom_file_system_configs=None, custom_posix_user_config=None, default_landing_uri=None, execution_role=None, jupyter_lab_app_settings=None, jupyter_server_app_settings=None, kernel_gateway_app_settings=None, r_studio_server_pro_app_settings=None, security_groups=None, sharing_settings=None, space_storage_settings=None, studio_web_portal=None, studio_web_portal_settings=None)

Bases: object

A collection of settings that apply to users of Amazon SageMaker Studio.

These settings are specified when the CreateUserProfile API is called, and as DefaultUserSettings when the CreateDomain API is called.

SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings , the values specified in CreateUserProfile take precedence over those specified in CreateDomain .

Parameters:

code_editor_app_settings (Union[IResolvable, CodeEditorAppSettingsProperty, Dict[str, Any], None]) – The Code Editor application settings.
custom_file_system_configs (Union[IResolvable, Sequence[Union[IResolvable, CustomFileSystemConfigProperty, Dict[str, Any]]], None]) – The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker Studio.
custom_posix_user_config (Union[IResolvable, CustomPosixUserConfigProperty, Dict[str, Any], None]) – Details about the POSIX identity that is used for file system operations.
default_landing_uri (Optional[str]) – The default experience that the user is directed to when accessing the domain. The supported values are:. - studio:: : Indicates that Studio is the default experience. This value can only be passed if StudioWebPortal is set to ENABLED . - app:JupyterServer: : Indicates that Studio Classic is the default experience.
execution_role (Optional[str]) – The execution role for the user.
jupyter_lab_app_settings (Union[IResolvable, JupyterLabAppSettingsProperty, Dict[str, Any], None]) – The settings for the JupyterLab application.
jupyter_server_app_settings (Union[IResolvable, JupyterServerAppSettingsProperty, Dict[str, Any], None]) – The Jupyter server’s app settings.
kernel_gateway_app_settings (Union[IResolvable, KernelGatewayAppSettingsProperty, Dict[str, Any], None]) – The kernel gateway app settings.
r_studio_server_pro_app_settings (Union[IResolvable, RStudioServerProAppSettingsProperty, Dict[str, Any], None]) – A collection of settings that configure user interaction with the RStudioServerPro app.
security_groups (Optional[Sequence[str]]) – The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication. Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly . Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly , unless specified as part of the DefaultUserSettings for the domain. Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.
sharing_settings (Union[IResolvable, SharingSettingsProperty, Dict[str, Any], None]) – Specifies options for sharing Amazon SageMaker Studio notebooks.
space_storage_settings (Union[IResolvable, DefaultSpaceStorageSettingsProperty, Dict[str, Any], None]) – The storage settings for a space.
studio_web_portal (Optional[str]) – Whether the user can access Studio. If this value is set to DISABLED , the user cannot access Studio, even if that is the default experience for the domain.
studio_web_portal_settings (Union[IResolvable, StudioWebPortalSettingsProperty, Dict[str, Any], None]) – Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_sagemaker as sagemaker

user_settings_property = sagemaker.CfnUserProfile.UserSettingsProperty(
    code_editor_app_settings=sagemaker.CfnUserProfile.CodeEditorAppSettingsProperty(
        app_lifecycle_management=sagemaker.CfnUserProfile.AppLifecycleManagementProperty(
            idle_settings=sagemaker.CfnUserProfile.IdleSettingsProperty(
                idle_timeout_in_minutes=123,
                lifecycle_management="lifecycleManagement",
                max_idle_timeout_in_minutes=123,
                min_idle_timeout_in_minutes=123
            )
        ),
        custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
            app_image_config_name="appImageConfigName",
            image_name="imageName",

            # the properties below are optional
            image_version_number=123
        )],
        default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
            instance_type="instanceType",
            lifecycle_config_arn="lifecycleConfigArn",
            sage_maker_image_arn="sageMakerImageArn",
            sage_maker_image_version_arn="sageMakerImageVersionArn"
        ),
        lifecycle_config_arns=["lifecycleConfigArns"]
    ),
    custom_file_system_configs=[sagemaker.CfnUserProfile.CustomFileSystemConfigProperty(
        efs_file_system_config=sagemaker.CfnUserProfile.EFSFileSystemConfigProperty(
            file_system_id="fileSystemId",

            # the properties below are optional
            file_system_path="fileSystemPath"
        )
    )],
    custom_posix_user_config=sagemaker.CfnUserProfile.CustomPosixUserConfigProperty(
        gid=123,
        uid=123
    ),
    default_landing_uri="defaultLandingUri",
    execution_role="executionRole",
    jupyter_lab_app_settings=sagemaker.CfnUserProfile.JupyterLabAppSettingsProperty(
        app_lifecycle_management=sagemaker.CfnUserProfile.AppLifecycleManagementProperty(
            idle_settings=sagemaker.CfnUserProfile.IdleSettingsProperty(
                idle_timeout_in_minutes=123,
                lifecycle_management="lifecycleManagement",
                max_idle_timeout_in_minutes=123,
                min_idle_timeout_in_minutes=123
            )
        ),
        code_repositories=[sagemaker.CfnUserProfile.CodeRepositoryProperty(
            repository_url="repositoryUrl"
        )],
        custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
            app_image_config_name="appImageConfigName",
            image_name="imageName",

            # the properties below are optional
            image_version_number=123
        )],
        default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
            instance_type="instanceType",
            lifecycle_config_arn="lifecycleConfigArn",
            sage_maker_image_arn="sageMakerImageArn",
            sage_maker_image_version_arn="sageMakerImageVersionArn"
        ),
        lifecycle_config_arns=["lifecycleConfigArns"]
    ),
    jupyter_server_app_settings=sagemaker.CfnUserProfile.JupyterServerAppSettingsProperty(
        default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
            instance_type="instanceType",
            lifecycle_config_arn="lifecycleConfigArn",
            sage_maker_image_arn="sageMakerImageArn",
            sage_maker_image_version_arn="sageMakerImageVersionArn"
        ),
        lifecycle_config_arns=["lifecycleConfigArns"]
    ),
    kernel_gateway_app_settings=sagemaker.CfnUserProfile.KernelGatewayAppSettingsProperty(
        custom_images=[sagemaker.CfnUserProfile.CustomImageProperty(
            app_image_config_name="appImageConfigName",
            image_name="imageName",

            # the properties below are optional
            image_version_number=123
        )],
        default_resource_spec=sagemaker.CfnUserProfile.ResourceSpecProperty(
            instance_type="instanceType",
            lifecycle_config_arn="lifecycleConfigArn",
            sage_maker_image_arn="sageMakerImageArn",
            sage_maker_image_version_arn="sageMakerImageVersionArn"
        ),
        lifecycle_config_arns=["lifecycleConfigArns"]
    ),
    r_studio_server_pro_app_settings=sagemaker.CfnUserProfile.RStudioServerProAppSettingsProperty(
        access_status="accessStatus",
        user_group="userGroup"
    ),
    security_groups=["securityGroups"],
    sharing_settings=sagemaker.CfnUserProfile.SharingSettingsProperty(
        notebook_output_option="notebookOutputOption",
        s3_kms_key_id="s3KmsKeyId",
        s3_output_path="s3OutputPath"
    ),
    space_storage_settings=sagemaker.CfnUserProfile.DefaultSpaceStorageSettingsProperty(
        default_ebs_storage_settings=sagemaker.CfnUserProfile.DefaultEbsStorageSettingsProperty(
            default_ebs_volume_size_in_gb=123,
            maximum_ebs_volume_size_in_gb=123
        )
    ),
    studio_web_portal="studioWebPortal",
    studio_web_portal_settings=sagemaker.CfnUserProfile.StudioWebPortalSettingsProperty(
        hidden_app_types=["hiddenAppTypes"],
        hidden_ml_tools=["hiddenMlTools"]
    )
)

Attributes

code_editor_app_settings

The Code Editor application settings.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-codeeditorappsettings

custom_file_system_configs

The settings for assigning a custom file system to a user profile.

Permitted users can access this file system in Amazon SageMaker Studio.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-customfilesystemconfigs

custom_posix_user_config

Details about the POSIX identity that is used for file system operations.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-customposixuserconfig

default_landing_uri

.

studio:: : Indicates that Studio is the default experience. This value can only be passed if StudioWebPortal is set to ENABLED .
app:JupyterServer: : Indicates that Studio Classic is the default experience.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-defaultlandinguri
Type:: The default experience that the user is directed to when accessing the domain. The supported values are

execution_role

The execution role for the user.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-executionrole

jupyter_lab_app_settings

The settings for the JupyterLab application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-jupyterlabappsettings

jupyter_server_app_settings

The Jupyter server’s app settings.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-jupyterserverappsettings

kernel_gateway_app_settings

The kernel gateway app settings.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-kernelgatewayappsettings

r_studio_server_pro_app_settings

A collection of settings that configure user interaction with the RStudioServerPro app.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html#cfn-sagemaker-userprofile-usersettings-rstudioserverproappsettings

security_groups

The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.

Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly .

Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly , unless specified as part of the DefaultUserSettings for the domain.

Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.