CfnDataAutomationLibraryPropsMixin
- class aws_cdk.cfn_property_mixins.aws_bedrock.CfnDataAutomationLibraryPropsMixin(props, *, strategy=None)
Bases:
MixinResource Type definition for AWS::Bedrock::DataAutomationLibrary.
- See:
- CloudformationResource:
AWS::Bedrock::DataAutomationLibrary
- Mixin:
true
- 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.cfn_property_mixins import aws_bedrock as bedrock import aws_cdk as cdk # merge_strategy: cdk.IMergeStrategy cfn_data_automation_library_props_mixin = bedrock.CfnDataAutomationLibraryPropsMixin(bedrock.CfnDataAutomationLibraryMixinProps( encryption_configuration=bedrock.CfnDataAutomationLibraryPropsMixin.EncryptionConfigurationProperty( kms_encryption_context={ "kms_encryption_context_key": "kmsEncryptionContext" }, kms_key_id="kmsKeyId" ), library_description="libraryDescription", library_name="libraryName", tags=[cdk.CfnTag( key="key", value="value" )] ), strategy=merge_strategy )
Create a mixin to apply properties to
AWS::Bedrock::DataAutomationLibrary.- Parameters:
props (
Union[CfnDataAutomationLibraryMixinProps,Dict[str,Any]]) – L1 properties to apply.strategy (
Optional[IMergeStrategy]) – Strategy for merging nested properties. Default: - PropertyMergeStrategy.combine()
Methods
- apply_to(construct)
Apply the mixin properties to the construct.
- Parameters:
construct (
IConstruct)- Return type:
None
- supports(construct)
Check if this mixin supports the given construct.
- Parameters:
construct (
IConstruct)- Return type:
bool
Attributes
- CFN_PROPERTY_KEYS = ['encryptionConfiguration', 'libraryDescription', 'libraryName', 'tags']
Static Methods
- classmethod is_mixin(x)
Checks if
xis a Mixin.- Parameters:
x (
Any) – Any object.- Return type:
bool- Returns:
true if
xis an object created from a class which extendsMixin.
EncryptionConfigurationProperty
- class CfnDataAutomationLibraryPropsMixin.EncryptionConfigurationProperty(*, kms_encryption_context=None, kms_key_id=None)
Bases:
objectKMS Encryption Configuration.
- Parameters:
kms_encryption_context (
Union[Mapping[str,str],IResolvable,None]) – KMS Encryption Context.kms_key_id (
Optional[str]) – KMS Key Identifier.
- See:
- 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.cfn_property_mixins import aws_bedrock as bedrock encryption_configuration_property = bedrock.CfnDataAutomationLibraryPropsMixin.EncryptionConfigurationProperty( kms_encryption_context={ "kms_encryption_context_key": "kmsEncryptionContext" }, kms_key_id="kmsKeyId" )
Attributes
- kms_encryption_context
KMS Encryption Context.
EntityTypeInfoProperty
- class CfnDataAutomationLibraryPropsMixin.EntityTypeInfoProperty(*, entity_metadata=None, entity_type=None)
Bases:
objectInformation about an entity type in the DataAutomationLibrary.
- Parameters:
entity_metadata (
Optional[str]) – JSON string representing relevant metadata for the entity type.entity_type (
Optional[str]) – Entity types supported in DataAutomationLibraries.
- See:
- 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.cfn_property_mixins import aws_bedrock as bedrock entity_type_info_property = bedrock.CfnDataAutomationLibraryPropsMixin.EntityTypeInfoProperty( entity_metadata="entityMetadata", entity_type="entityType" )
Attributes
- entity_metadata
JSON string representing relevant metadata for the entity type.
- entity_type
Entity types supported in DataAutomationLibraries.