create_service_template ¶

def create_service_template(
    self,
    name: "capo_proton.types.resource_name.ResourceName",
    *,
    config_overrides: Optional[ProtonClientConfig] = None,
    display_name: Optional["capo_proton.types.display_name.DisplayName"] = None,
    description: Optional["capo_proton.types.description.Description"] = None,
    encryption_key: Optional["capo_proton.types.arn.Arn"] = None,
    pipeline_provisioning: Optional[
        "capo_proton.types.provisioning.Provisioning"
    ] = None,
    tags: Optional["capo_proton.types.tag_list.TagList"] = None,
) -> "capo_proton.types.create_service_template_output.CreateServiceTemplateOutput":
    """<p>Create a service template. The administrator creates a service template to define standardized infrastructure and an optional CI/CD service pipeline. Developers, in turn, select the service template from Proton. If the selected service template includes a service pipeline definition, they provide a link to their source code repository. Proton then deploys and manages the infrastructure defined by the selected service template. For more information, see <a href="https://docs.aws.amazon.com/proton/latest/userguide/ag-templates.html">Proton templates</a> in the <i>Proton User Guide</i>.</p>

    Args:
        name: <p>The name of the service template.</p>
        display_name: <p>The name of the service template as displayed in the developer interface.</p>
        description: <p>A description of the service template.</p>
        encryption_key: <p>A customer provided encryption key that's used to encrypt data.</p>
        pipeline_provisioning: <p>By default, Proton provides a service pipeline for your service. When this parameter is included, it indicates that an Proton service pipeline <i>isn't</i> provided for your service. After it's included, it <i>can't</i> be changed. For more information, see <a href="https://docs.aws.amazon.com/proton/latest/userguide/ag-template-authoring.html#ag-template-bundles">Template bundles</a> in the <i>Proton User Guide</i>.</p>
        tags: <p>An optional list of metadata items that you can associate with the Proton service template. A tag is a key-value pair.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/proton/latest/userguide/resources.html">Proton resources and tagging</a> in the <i>Proton User Guide</i>.</p>

    Raises:
        capo_proton.errors.access_denied_exception.AccessDeniedException: <p>There <i>isn't</i> sufficient access for performing this action.</p>
        capo_proton.errors.conflict_exception.ConflictException: <p>The request <i>couldn't</i> be made due to a conflicting operation or resource.</p>
        capo_proton.errors.internal_server_exception.InternalServerException: <p>The request failed to register with the service.</p>
        capo_proton.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>A quota was exceeded. For more information, see <a href="https://docs.aws.amazon.com/proton/latest/userguide/ag-limits.html">Proton Quotas</a> in the <i>Proton User Guide</i>.</p>
        capo_proton.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_proton.errors.validation_exception.ValidationException: <p>The input is invalid or an out-of-range value was supplied for the input parameter.</p>
        capo_proton.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_proton.types.create_service_template_input.CreateServiceTemplateInput]",
    ) -> OperationResponse[
        "capo_proton.types.create_service_template_output.CreateServiceTemplateOutput"
    ]:
        import capo_proton._operations.aws_proton20200720.create_service_template

        output, http_response = (
            capo_proton._operations.aws_proton20200720.create_service_template.create_service_template(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_proton.types.create_service_template_input.CreateServiceTemplateInput",
    ) -> dict[str, Any]:
        import capo_proton.types.create_service_template_input

        return capo_proton.types.create_service_template_input.redact_sensitive(
            input_
        )

    def _redact_output(
        output: "capo_proton.types.create_service_template_output.CreateServiceTemplateOutput",
    ) -> dict[str, Any]:
        import capo_proton.types.create_service_template_output

        return capo_proton.types.create_service_template_output.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "CreateServiceTemplate",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_proton.types.create_service_template_input.CreateServiceTemplateInput = {
        "name": name
    }
    if display_name is not None:
        input_["display_name"] = display_name
    if description is not None:
        input_["description"] = description
    if encryption_key is not None:
        input_["encryption_key"] = encryption_key
    if pipeline_provisioning is not None:
        input_["pipeline_provisioning"] = pipeline_provisioning
    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