IoTSiteWise / Client / describe_execution
describe_execution¶
- IoTSiteWise.Client.describe_execution(**kwargs)¶
Retrieves information about the execution.
See also: AWS API Documentation
Request Syntax
response = client.describe_execution( executionId='string' )
- Parameters:
executionId (string) –
[REQUIRED]
The ID of the execution.
- Return type:
dict
- Returns:
Response Syntax
{ 'executionId': 'string', 'actionType': 'string', 'targetResource': { 'assetId': 'string', 'computationModelId': 'string' }, 'targetResourceVersion': 'string', 'resolveTo': { 'assetId': 'string' }, 'executionStartTime': datetime(2015, 1, 1), 'executionEndTime': datetime(2015, 1, 1), 'executionStatus': { 'state': 'RUNNING'|'COMPLETED'|'FAILED' }, 'executionResult': { 'string': 'string' }, 'executionDetails': { 'string': 'string' }, 'executionEntityVersion': 'string' }
Response Structure
(dict) –
executionId (string) –
The ID of the execution.
actionType (string) –
The type of action exectued.
targetResource (dict) –
The resource the action will be taken on. This can include asset-based resources and computation model resources.
assetId (string) –
The ID of the asset, in UUID format.
computationModelId (string) –
The ID of the computation model.
targetResourceVersion (string) –
The version of the target resource.
resolveTo (dict) –
The detailed resource this execution resolves to.
assetId (string) –
The ID of the asset that the resource resolves to.
executionStartTime (datetime) –
The time the process started.
executionEndTime (datetime) –
The time the process ended.
executionStatus (dict) –
The status of the execution process.
state (string) –
The current state of the computation model.
executionResult (dict) –
The result of the execution.
(string) –
(string) –
executionDetails (dict) –
Provides detailed information about the execution of your anomaly detection models. This includes model metrics and training timestamps for both training and inference actions.
The training action (Amazon Web Services/ANOMALY_DETECTION_TRAINING), includes performance metrics that help you compare different versions of your anomaly detection models. These metrics provide insights into the model’s performance during the training process.
The inference action (Amazon Web Services/ANOMALY_DETECTION_INFERENCE), includes information about the results of executing your anomaly detection models. This helps you understand the output of your models and assess their performance.
(string) –
(string) –
executionEntityVersion (string) –
Entity version used for the execution.
Exceptions