CfnDataset

class aws_cdk.aws_personalize.CfnDataset(scope, id, *, dataset_group_arn, dataset_type, name, schema_arn, dataset_import_job=None)

Bases: CfnResource

A CloudFormation AWS::Personalize::Dataset.

Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.

There are three types of datasets:

Interactions
Items
Users

Each dataset type has an associated schema with required field types. Only the Interactions dataset is required in order to train a model (also referred to as creating a solution).

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

To get the status of the dataset, call DescribeDataset .

Related APIs - CreateDatasetGroup

CloudformationResource:: AWS::Personalize::Dataset
Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-dataset.html
ExampleMetadata:: fixture=_generated

Example:

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

# data_source: Any

cfn_dataset = personalize.CfnDataset(self, "MyCfnDataset",
    dataset_group_arn="datasetGroupArn",
    dataset_type="datasetType",
    name="name",
    schema_arn="schemaArn",

    # the properties below are optional
    dataset_import_job=personalize.CfnDataset.DatasetImportJobProperty(
        dataset_arn="datasetArn",
        dataset_import_job_arn="datasetImportJobArn",
        data_source=data_source,
        job_name="jobName",
        role_arn="roleArn"
    )
)

Create a new AWS::Personalize::Dataset.

Parameters:

scope (Construct) –
- scope in which this resource is defined.
id (str) –
- scoped id of the resource.
dataset_group_arn (str) – The Amazon Resource Name (ARN) of the dataset group.
dataset_type (str) – One of the following values:. - Interactions - Items - Users
name (str) – The name of the dataset.
schema_arn (str) – The ARN of the associated schema.
dataset_import_job (Union[DatasetImportJobProperty, Dict[str, Any], IResolvable, None]) – Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset.

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_depends_on(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_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 intermdediate 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).

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 resoure, please consult that specific resource’s documentation.

Return type:

None

get_att(attribute_name)

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.
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

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

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::Personalize::Dataset'

attr_dataset_arn

The Amazon Resource Name (ARN) of the dataset.

CloudformationAttribute:: DatasetArn

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.

dataset_group_arn

The Amazon Resource Name (ARN) of the dataset group.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-dataset.html#cfn-personalize-dataset-datasetgrouparn

dataset_import_job

Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-dataset.html#cfn-personalize-dataset-datasetimportjob

dataset_type

.

Interactions
Items
Users

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-dataset.html#cfn-personalize-dataset-datasettype
Type:: One of the following values

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.

name

The name of the dataset.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-dataset.html#cfn-personalize-dataset-name

node: The construct tree node associated with this construct.

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 }).

schema_arn

The ARN of the associated schema.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-dataset.html#cfn-personalize-dataset-schemaarn

stack

The stack in which this element is defined.

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

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(construct)

Check whether the given construct is a CfnResource.

Parameters:

construct (IConstruct) –

Return type:

bool

classmethod is_construct(x)

Return whether the given object is a Construct.

Parameters:

x (Any) –

Return type:

bool

DataSourceProperty

class CfnDataset.DataSourceProperty(*, data_location=None)

Bases: object

Parameters:: data_location (Optional[str]) – CfnDataset.DataSourceProperty.DataLocation.
Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-personalize-dataset-datasource.html
ExampleMetadata:: fixture=_generated

Example:

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

data_source_property = personalize.CfnDataset.DataSourceProperty(
    data_location="dataLocation"
)

Attributes

data_location

CfnDataset.DataSourceProperty.DataLocation.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-personalize-dataset-datasource.html#cfn-personalize-dataset-datasource-datalocation

DatasetImportJobProperty

class CfnDataset.DatasetImportJobProperty(*, dataset_arn=None, dataset_import_job_arn=None, data_source=None, job_name=None, role_arn=None)

Bases: object

Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset.

For more information, see CreateDatasetImportJob .

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Parameters:

dataset_arn (Optional[str]) – The Amazon Resource Name (ARN) of the dataset that receives the imported data.
dataset_import_job_arn (Optional[str]) – The ARN of the dataset import job.
data_source (Optional[Any]) – The Amazon S3 bucket that contains the training data to import.
job_name (Optional[str]) – The name of the import job.
role_arn (Optional[str]) – The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-personalize-dataset-datasetimportjob.html

ExampleMetadata:

fixture=_generated

Example:

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

# data_source: Any

dataset_import_job_property = personalize.CfnDataset.DatasetImportJobProperty(
    dataset_arn="datasetArn",
    dataset_import_job_arn="datasetImportJobArn",
    data_source=data_source,
    job_name="jobName",
    role_arn="roleArn"
)