batch_get_deployment_instances

batch_get_deployment_instances(**kwargs)

Note

This method works, but is deprecated. Use BatchGetDeploymentTargets instead.

Returns an array of one or more instances associated with a deployment. This method works with EC2/On-premises and Lambda compute platforms. The newer BatchGetDeploymentTargets works with all compute platforms. The maximum number of instances that can be returned is 25.

Danger

This operation is deprecated and may not function as expected. This operation should not be used going forward and is only kept for the purpose of backwards compatiblity.

See also: AWS API Documentation

Request Syntax

response = client.batch_get_deployment_instances(
    deploymentId='string',
    instanceIds=[
        'string',
    ]
)

Parameters

• deploymentId (string) --

  [REQUIRED]

  The unique ID of a deployment.

• instanceIds (list) --

  [REQUIRED]

  The unique IDs of instances used in the deployment. The maximum number of instance IDs you can specify is 25.

  • (string) --

Return type

dict

Returns

Response Syntax

{
    'instancesSummary': [
        {
            'deploymentId': 'string',
            'instanceId': 'string',
            'status': 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown'|'Ready',
            'lastUpdatedAt': datetime(2015, 1, 1),
            'lifecycleEvents': [
                {
                    'lifecycleEventName': 'string',
                    'diagnostics': {
                        'errorCode': 'Success'|'ScriptMissing'|'ScriptNotExecutable'|'ScriptTimedOut'|'ScriptFailed'|'UnknownError',
                        'scriptName': 'string',
                        'message': 'string',
                        'logTail': 'string'
                    },
                    'startTime': datetime(2015, 1, 1),
                    'endTime': datetime(2015, 1, 1),
                    'status': 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown'
                },
            ],
            'instanceType': 'Blue'|'Green'
        },
    ],
    'errorMessage': 'string'
}

Response Structure

• (dict) --

  Represents the output of a BatchGetDeploymentInstances operation.

  • instancesSummary (list) --

    Information about the instance.

    • (dict) --

      Information about an instance in a deployment.

      • deploymentId (string) --

        The unique ID of a deployment.

      • instanceId (string) --

        The instance ID.

      • status (string) --

        The deployment status for this instance:

        • Pending : The deployment is pending for this instance.
        • In Progress : The deployment is in progress for this instance.
        • Succeeded : The deployment has succeeded for this instance.
        • Failed : The deployment has failed for this instance.
        • Skipped : The deployment has been skipped for this instance.
        • Unknown : The deployment status is unknown for this instance.

      • lastUpdatedAt (datetime) --

        A timestamp that indicates when the instance information was last updated.

      • lifecycleEvents (list) --

        A list of lifecycle events for this instance.

        • (dict) --

          Information about a deployment lifecycle event.

          • lifecycleEventName (string) --

            The deployment lifecycle event name, such as ApplicationStop , BeforeInstall , AfterInstall , ApplicationStart , or ValidateService .

          • diagnostics (dict) --

            Diagnostic information about the deployment lifecycle event.

            • errorCode (string) --

              The associated error code:

              • Success: The specified script ran.
              • ScriptMissing: The specified script was not found in the specified location.
              • ScriptNotExecutable: The specified script is not a recognized executable file type.
              • ScriptTimedOut: The specified script did not finish running in the specified time period.
              • ScriptFailed: The specified script failed to run as expected.
              • UnknownError: The specified script did not run for an unknown reason.

            • scriptName (string) --

              The name of the script.

            • message (string) --

              The message associated with the error.

            • logTail (string) --

              The last portion of the diagnostic log.

              If available, CodeDeploy returns up to the last 4 KB of the diagnostic log.

          • startTime (datetime) --

            A timestamp that indicates when the deployment lifecycle event started.

          • endTime (datetime) --

            A timestamp that indicates when the deployment lifecycle event ended.

          • status (string) --

            The deployment lifecycle event status:

            • Pending: The deployment lifecycle event is pending.
            • InProgress: The deployment lifecycle event is in progress.
            • Succeeded: The deployment lifecycle event ran successfully.
            • Failed: The deployment lifecycle event has failed.
            • Skipped: The deployment lifecycle event has been skipped.
            • Unknown: The deployment lifecycle event is unknown.

      • instanceType (string) --

        Information about which environment an instance belongs to in a blue/green deployment.

        • BLUE: The instance is part of the original environment.
        • GREEN: The instance is part of the replacement environment.

  • errorMessage (string) --

    Information about errors that might have occurred during the API call.

Exceptions

• CodeDeploy.Client.exceptions.DeploymentIdRequiredException
• CodeDeploy.Client.exceptions.DeploymentDoesNotExistException
• CodeDeploy.Client.exceptions.InstanceIdRequiredException
• CodeDeploy.Client.exceptions.InvalidDeploymentIdException
• CodeDeploy.Client.exceptions.InvalidInstanceNameException
• CodeDeploy.Client.exceptions.BatchLimitExceededException
• CodeDeploy.Client.exceptions.InvalidComputePlatformException