create_deployment ¶

def create_deployment(
    self,
    workload_name: "capo_launch_wizard.types.workload_name.WorkloadName",
    deployment_pattern_name: "capo_launch_wizard.types.deployment_pattern_name.DeploymentPatternName",
    name: "capo_launch_wizard.types.deployment_name.DeploymentName",
    specifications: "capo_launch_wizard.types.deployment_specifications.DeploymentSpecifications",
    *,
    config_overrides: Optional[LaunchWizardClientConfig] = None,
    dry_run: Optional[bool] = None,
    tags: Optional["capo_launch_wizard.types.tags.Tags"] = None,
) -> "capo_launch_wizard.types.create_deployment_output.CreateDeploymentOutput":
    """<p>Creates a deployment for the given workload. Deployments created by this operation are not available in the Launch Wizard console to use the <code>Clone deployment</code> action on.</p>

    Args:
        workload_name: <p>The name of the workload. You can use the <a href="https://docs.aws.amazon.com/launchwizard/latest/APIReference/API_ListWorkloads.html"> <code>ListWorkloads</code> </a> operation to discover supported values for this parameter.</p>
        deployment_pattern_name: <p>The name of the deployment pattern supported by a given workload. You can use the <a href="https://docs.aws.amazon.com/launchwizard/latest/APIReference/API_ListWorkloadDeploymentPatterns.html"> <code>ListWorkloadDeploymentPatterns</code> </a> operation to discover supported values for this parameter. </p>
        name: <p>The name of the deployment.</p>
        specifications: <p>The settings specified for the deployment. These settings define how to deploy and configure your resources created by the deployment. For more information about the specifications required for creating a deployment for a SAP workload, see <a href="https://docs.aws.amazon.com/launchwizard/latest/APIReference/launch-wizard-specifications-sap.html">SAP deployment specifications</a>. To retrieve the specifications required to create a deployment for other workloads, use the <a href="https://docs.aws.amazon.com/launchwizard/latest/APIReference/API_GetWorkloadDeploymentPattern.html"> <code>GetWorkloadDeploymentPattern</code> </a> operation.</p>
        dry_run: <p>Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is <code>DryRunOperation</code>. Otherwise, it is <code>UnauthorizedOperation</code>.</p>
        tags: <p>The tags to add to the deployment.</p>

    Raises:
        capo_launch_wizard.errors.internal_server_exception.InternalServerException: <p>An internal error has occurred. Retry your request, but if the problem persists, contact us with details by posting a question on <a href="https://repost.aws/">re:Post</a>.</p>
        capo_launch_wizard.errors.resource_limit_exception.ResourceLimitException: <p>You have exceeded an Launch Wizard resource limit. For example, you might have too many deployments in progress.</p>
        capo_launch_wizard.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified workload or deployment resource can't be found.</p>
        capo_launch_wizard.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_launch_wizard.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        Deploy a given workload with given settings.

        >>> client.create_deployment(workload_name='SAP', deployment_pattern_name='SapHanaSingle', name='TestDeployment1', dry_run=False, specifications={'DisableDeploymentRollback': 'Yes', 'SaveDeploymentArtifacts': 'No', 'KeyPairName': 'keyName', 'VpcId': 'vpc-1234566', 'CreateSecurityGroup': 'No', 'ProxyServerAddress': 'http://xyz.abc.com:8080', 'Timezone': 'Pacific/Wake', 'EnableEbsVolumeEncryption': 'Yes', 'SapSysGroupId': '5003', 'SapVirtualIPOptIn': 'No', 'SnsTopicArn': 'arn:aws:sns:us-east-1:111111222222:snsNameUsEast1.fifo'})
        Deploy a given workload with given settings and passing tags for Launch Wizard deployment resource.

        >>> client.create_deployment(workload_name='SAP', deployment_pattern_name='SapHanaSingle', name='TestDeployment2', dry_run=False, specifications={'DisableDeploymentRollback': 'Yes', 'SaveDeploymentArtifacts': 'No', 'KeyPairName': 'keyName', 'VpcId': 'vpc-1234566', 'CreateSecurityGroup': 'No', 'ProxyServerAddress': 'http://xyz.abc.com:8080', 'Timezone': 'Pacific/Wake', 'EnableEbsVolumeEncryption': 'Yes', 'SapSysGroupId': '5003', 'SapVirtualIPOptIn': 'No', 'SnsTopicArn': 'arn:aws:sns:us-east-1:111111222222:snsNameUsEast1.fifo'}, tags={'key1': 'val1', 'key2': 'val2'})
    """

    def _handler(
        req: "OperationRequest[capo_launch_wizard.types.create_deployment_input.CreateDeploymentInput]",
    ) -> OperationResponse[
        "capo_launch_wizard.types.create_deployment_output.CreateDeploymentOutput"
    ]:
        import capo_launch_wizard._operations.launch_wizard.create_deployment

        output, http_response = (
            capo_launch_wizard._operations.launch_wizard.create_deployment.create_deployment(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_launch_wizard.types.create_deployment_input.CreateDeploymentInput",
    ) -> dict[str, Any]:
        import capo_launch_wizard.types.create_deployment_input

        return capo_launch_wizard.types.create_deployment_input.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("CreateDeployment", redact_input=_redact_input),
    )
    input_: capo_launch_wizard.types.create_deployment_input.CreateDeploymentInput = {
        "workload_name": workload_name,
        "deployment_pattern_name": deployment_pattern_name,
        "name": name,
        "specifications": specifications,
    }
    if dry_run is not None:
        input_["dry_run"] = dry_run
    if tags is not None:
        input_["tags"] = tags

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output