CfnMembership
- class aws_cdk.aws_cleanrooms.CfnMembership(scope, id, *, collaboration_identifier, query_log_status, default_result_configuration=None, payment_configuration=None, tags=None)
Bases:
CfnResource
Creates a membership for a specific collaboration identifier and joins the collaboration.
- See:
- CloudformationResource:
AWS::CleanRooms::Membership
- 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_cleanrooms as cleanrooms cfn_membership = cleanrooms.CfnMembership(self, "MyCfnMembership", collaboration_identifier="collaborationIdentifier", query_log_status="queryLogStatus", # the properties below are optional default_result_configuration=cleanrooms.CfnMembership.MembershipProtectedQueryResultConfigurationProperty( output_configuration=cleanrooms.CfnMembership.MembershipProtectedQueryOutputConfigurationProperty( s3=cleanrooms.CfnMembership.ProtectedQueryS3OutputConfigurationProperty( bucket="bucket", result_format="resultFormat", # the properties below are optional key_prefix="keyPrefix", single_file_output=False ) ), # the properties below are optional role_arn="roleArn" ), payment_configuration=cleanrooms.CfnMembership.MembershipPaymentConfigurationProperty( query_compute=cleanrooms.CfnMembership.MembershipQueryComputePaymentConfigProperty( is_responsible=False ), # the properties below are optional machine_learning=cleanrooms.CfnMembership.MembershipMLPaymentConfigProperty( model_inference=cleanrooms.CfnMembership.MembershipModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnMembership.MembershipModelTrainingPaymentConfigProperty( is_responsible=False ) ) ), tags=[CfnTag( key="key", value="value" )] )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).collaboration_identifier (
str
) – The unique ID for the associated collaboration.query_log_status (
str
) – An indicator as to whether query logging has been enabled or disabled for the membership.default_result_configuration (
Union
[IResolvable
,MembershipProtectedQueryResultConfigurationProperty
,Dict
[str
,Any
],None
]) – The default protected query result configuration as specified by the member who can receive results.payment_configuration (
Union
[IResolvable
,MembershipPaymentConfigurationProperty
,Dict
[str
,Any
],None
]) – The payment responsibilities accepted by the collaboration member.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – An optional label that you can assign to a resource when you create it. Each tag consists of a key and an optional value, both of which you define. When you use tagging, you can also use tag-based access control in IAM policies to control access to this resource.
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
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 prefixpath
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 toaddOverride
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: truedefault (
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:
- 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:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
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::CleanRooms::Membership'
- attr_arn
Returns the Amazon Resource Name (ARN) of the specified membership.
Example:
arn:aws:cleanrooms:us-east-1:111122223333:membership/a1b2c3d4-5678-90ab-cdef-EXAMPLE11111
- CloudformationAttribute:
Arn
- attr_collaboration_arn
Returns the Amazon Resource Name (ARN) of the specified collaboration.
Example:
arn:aws:cleanrooms:us-east-1:111122223333:collaboration/a1b2c3d4-5678-90ab-cdef-EXAMPLE11111
- CloudformationAttribute:
CollaborationArn
- attr_collaboration_creator_account_id
Returns the unique identifier of the specified collaboration creator account.
Example:
a1b2c3d4-5678-90ab-cdef-EXAMPLE11111
- CloudformationAttribute:
CollaborationCreatorAccountId
- attr_membership_identifier
Returns the unique identifier of the specified membership.
Example:
a1b2c3d4-5678-90ab-cdef-EXAMPLE22222
- CloudformationAttribute:
MembershipIdentifier
- cdk_tag_manager
Tag Manager which manages the tags for this resource.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- collaboration_identifier
The unique ID for the associated collaboration.
- 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.
- default_result_configuration
The default protected query result configuration as specified by the member who can receive results.
- 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.
- payment_configuration
The payment responsibilities accepted by the collaboration member.
- query_log_status
An indicator as to whether query logging has been enabled or disabled for the membership.
- 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 })
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
An optional label that you can assign to a resource when you create it.
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 detectConstruct
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 classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
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 theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, 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 extendsConstruct
.
MembershipMLPaymentConfigProperty
- class CfnMembership.MembershipMLPaymentConfigProperty(*, model_inference=None, model_training=None)
Bases:
object
An object representing the collaboration member’s machine learning payment responsibilities set by the collaboration creator.
- Parameters:
model_inference (
Union
[IResolvable
,MembershipModelInferencePaymentConfigProperty
,Dict
[str
,Any
],None
]) – The payment responsibilities accepted by the member for model inference.model_training (
Union
[IResolvable
,MembershipModelTrainingPaymentConfigProperty
,Dict
[str
,Any
],None
]) – The payment responsibilities accepted by the member for model training.
- 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 import aws_cleanrooms as cleanrooms membership_mLPayment_config_property = cleanrooms.CfnMembership.MembershipMLPaymentConfigProperty( model_inference=cleanrooms.CfnMembership.MembershipModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnMembership.MembershipModelTrainingPaymentConfigProperty( is_responsible=False ) )
Attributes
- model_inference
The payment responsibilities accepted by the member for model inference.
- model_training
The payment responsibilities accepted by the member for model training.
MembershipModelInferencePaymentConfigProperty
- class CfnMembership.MembershipModelInferencePaymentConfigProperty(*, is_responsible)
Bases:
object
An object representing the collaboration member’s model inference payment responsibilities set by the collaboration creator.
- Parameters:
is_responsible (
Union
[bool
,IResolvable
]) – Indicates whether the collaboration member has accepted to pay for model inference costs (TRUE
) or has not accepted to pay for model inference costs (FALSE
). If the collaboration creator has not specified anyone to pay for model inference costs, then the member who can query is the default payer. An error message is returned for the following reasons: - If you set the value toFALSE
but you are responsible to pay for model inference costs. - If you set the value toTRUE
but you are not responsible to pay for model inference costs.- 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 import aws_cleanrooms as cleanrooms membership_model_inference_payment_config_property = cleanrooms.CfnMembership.MembershipModelInferencePaymentConfigProperty( is_responsible=False )
Attributes
- is_responsible
Indicates whether the collaboration member has accepted to pay for model inference costs (
TRUE
) or has not accepted to pay for model inference costs (FALSE
).If the collaboration creator has not specified anyone to pay for model inference costs, then the member who can query is the default payer.
An error message is returned for the following reasons:
If you set the value to
FALSE
but you are responsible to pay for model inference costs.If you set the value to
TRUE
but you are not responsible to pay for model inference costs.
MembershipModelTrainingPaymentConfigProperty
- class CfnMembership.MembershipModelTrainingPaymentConfigProperty(*, is_responsible)
Bases:
object
An object representing the collaboration member’s model training payment responsibilities set by the collaboration creator.
- Parameters:
is_responsible (
Union
[bool
,IResolvable
]) – Indicates whether the collaboration member has accepted to pay for model training costs (TRUE
) or has not accepted to pay for model training costs (FALSE
). If the collaboration creator has not specified anyone to pay for model training costs, then the member who can query is the default payer. An error message is returned for the following reasons: - If you set the value toFALSE
but you are responsible to pay for model training costs. - If you set the value toTRUE
but you are not responsible to pay for model training costs.- 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 import aws_cleanrooms as cleanrooms membership_model_training_payment_config_property = cleanrooms.CfnMembership.MembershipModelTrainingPaymentConfigProperty( is_responsible=False )
Attributes
- is_responsible
Indicates whether the collaboration member has accepted to pay for model training costs (
TRUE
) or has not accepted to pay for model training costs (FALSE
).If the collaboration creator has not specified anyone to pay for model training costs, then the member who can query is the default payer.
An error message is returned for the following reasons:
If you set the value to
FALSE
but you are responsible to pay for model training costs.If you set the value to
TRUE
but you are not responsible to pay for model training costs.
MembershipPaymentConfigurationProperty
- class CfnMembership.MembershipPaymentConfigurationProperty(*, query_compute, machine_learning=None)
Bases:
object
An object representing the payment responsibilities accepted by the collaboration member.
- Parameters:
query_compute (
Union
[IResolvable
,MembershipQueryComputePaymentConfigProperty
,Dict
[str
,Any
]]) – The payment responsibilities accepted by the collaboration member for query compute costs.machine_learning (
Union
[IResolvable
,MembershipMLPaymentConfigProperty
,Dict
[str
,Any
],None
]) – The payment responsibilities accepted by the collaboration member for machine learning costs.
- 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 import aws_cleanrooms as cleanrooms membership_payment_configuration_property = cleanrooms.CfnMembership.MembershipPaymentConfigurationProperty( query_compute=cleanrooms.CfnMembership.MembershipQueryComputePaymentConfigProperty( is_responsible=False ), # the properties below are optional machine_learning=cleanrooms.CfnMembership.MembershipMLPaymentConfigProperty( model_inference=cleanrooms.CfnMembership.MembershipModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnMembership.MembershipModelTrainingPaymentConfigProperty( is_responsible=False ) ) )
Attributes
- machine_learning
The payment responsibilities accepted by the collaboration member for machine learning costs.
- query_compute
The payment responsibilities accepted by the collaboration member for query compute costs.
MembershipProtectedQueryOutputConfigurationProperty
- class CfnMembership.MembershipProtectedQueryOutputConfigurationProperty(*, s3)
Bases:
object
Contains configurations for protected query results.
- Parameters:
s3 (
Union
[IResolvable
,ProtectedQueryS3OutputConfigurationProperty
,Dict
[str
,Any
]]) – Required configuration for a protected query with ans3
output type.- 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 import aws_cleanrooms as cleanrooms membership_protected_query_output_configuration_property = cleanrooms.CfnMembership.MembershipProtectedQueryOutputConfigurationProperty( s3=cleanrooms.CfnMembership.ProtectedQueryS3OutputConfigurationProperty( bucket="bucket", result_format="resultFormat", # the properties below are optional key_prefix="keyPrefix", single_file_output=False ) )
Attributes
- s3
Required configuration for a protected query with an
s3
output type.
MembershipProtectedQueryResultConfigurationProperty
- class CfnMembership.MembershipProtectedQueryResultConfigurationProperty(*, output_configuration, role_arn=None)
Bases:
object
Contains configurations for protected query results.
- Parameters:
output_configuration (
Union
[IResolvable
,MembershipProtectedQueryOutputConfigurationProperty
,Dict
[str
,Any
]]) – Configuration for protected query results.role_arn (
Optional
[str
]) – The unique ARN for an IAM role that is used by AWS Clean Rooms to write protected query results to the result location, given by the member who can receive results.
- 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 import aws_cleanrooms as cleanrooms membership_protected_query_result_configuration_property = cleanrooms.CfnMembership.MembershipProtectedQueryResultConfigurationProperty( output_configuration=cleanrooms.CfnMembership.MembershipProtectedQueryOutputConfigurationProperty( s3=cleanrooms.CfnMembership.ProtectedQueryS3OutputConfigurationProperty( bucket="bucket", result_format="resultFormat", # the properties below are optional key_prefix="keyPrefix", single_file_output=False ) ), # the properties below are optional role_arn="roleArn" )
Attributes
- output_configuration
Configuration for protected query results.
- role_arn
The unique ARN for an IAM role that is used by AWS Clean Rooms to write protected query results to the result location, given by the member who can receive results.
MembershipQueryComputePaymentConfigProperty
- class CfnMembership.MembershipQueryComputePaymentConfigProperty(*, is_responsible)
Bases:
object
An object representing the payment responsibilities accepted by the collaboration member for query compute costs.
- Parameters:
is_responsible (
Union
[bool
,IResolvable
]) – Indicates whether the collaboration member has accepted to pay for query compute costs (TRUE
) or has not accepted to pay for query compute costs (FALSE
). If the collaboration creator has not specified anyone to pay for query compute costs, then the member who can query is the default payer. An error message is returned for the following reasons: - If you set the value toFALSE
but you are responsible to pay for query compute costs. - If you set the value toTRUE
but you are not responsible to pay for query compute costs.- 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 import aws_cleanrooms as cleanrooms membership_query_compute_payment_config_property = cleanrooms.CfnMembership.MembershipQueryComputePaymentConfigProperty( is_responsible=False )
Attributes
- is_responsible
Indicates whether the collaboration member has accepted to pay for query compute costs (
TRUE
) or has not accepted to pay for query compute costs (FALSE
).If the collaboration creator has not specified anyone to pay for query compute costs, then the member who can query is the default payer.
An error message is returned for the following reasons:
If you set the value to
FALSE
but you are responsible to pay for query compute costs.If you set the value to
TRUE
but you are not responsible to pay for query compute costs.
ProtectedQueryS3OutputConfigurationProperty
- class CfnMembership.ProtectedQueryS3OutputConfigurationProperty(*, bucket, result_format, key_prefix=None, single_file_output=None)
Bases:
object
Contains the configuration to write the query results to S3.
- Parameters:
bucket (
str
) – The S3 bucket to unload the protected query results.result_format (
str
) – Intended file format of the result.key_prefix (
Optional
[str
]) – The S3 prefix to unload the protected query results.single_file_output (
Union
[bool
,IResolvable
,None
]) – Indicates whether files should be output as a single file (TRUE
) or output as multiple files (FALSE
). This parameter is only supported for analyses with the Spark analytics engine.
- 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 import aws_cleanrooms as cleanrooms protected_query_s3_output_configuration_property = cleanrooms.CfnMembership.ProtectedQueryS3OutputConfigurationProperty( bucket="bucket", result_format="resultFormat", # the properties below are optional key_prefix="keyPrefix", single_file_output=False )
Attributes
- bucket
The S3 bucket to unload the protected query results.
- key_prefix
The S3 prefix to unload the protected query results.
- result_format
Intended file format of the result.
- single_file_output
Indicates whether files should be output as a single file (
TRUE
) or output as multiple files (FALSE
).This parameter is only supported for analyses with the Spark analytics engine.