CfnMatchingWorkflowLogsMixin
- class aws_cdk.mixins_preview.aws_entityresolution.mixins.CfnMatchingWorkflowLogsMixin(log_type, log_delivery)
Bases:
MixinCreates a matching workflow that defines the configuration for a data processing job.
The workflow name must be unique. To modify an existing workflow, use
UpdateMatchingWorkflow. .. epigraph:For workflows where ``resolutionType`` is ``ML_MATCHING`` or ``PROVIDER`` , incremental processing is not supported.
- See:
- CloudformationResource:
AWS::EntityResolution::MatchingWorkflow
- 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.mixins_preview import aws_logs as logs from aws_cdk.mixins_preview.aws_entityresolution import mixins as entityresolution_mixins # logs_delivery: logs.ILogsDelivery cfn_matching_workflow_logs_mixin = entityresolution_mixins.CfnMatchingWorkflowLogsMixin("logType", logs_delivery)
Create a mixin to enable vended logs for
AWS::EntityResolution::MatchingWorkflow.- Parameters:
log_type (
str) – Type of logs that are getting vended.log_delivery (
ILogsDelivery) – Object in charge of setting up the delivery destination and delivery connection.
Methods
- apply_to(resource)
Apply vended logs configuration to the construct.
- Parameters:
resource (
IConstruct)- Return type:
- supports(construct)
Check if this mixin supports the given construct (has vendedLogs property).
- Parameters:
construct (
IConstruct)- Return type:
bool
Attributes
- WORKFLOW_LOGS = <aws_cdk.mixins_preview.aws_entityresolution.mixins.CfnMatchingWorkflowWorkflowLogs object>
Static Methods
- classmethod is_mixin(x)
(experimental) 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.- Stability:
experimental