create_data_product_revision async ¶

async def create_data_product_revision(
    self,
    domain_identifier: "capo_datazone.types.domain_id.DomainId",
    identifier: "capo_datazone.types.data_product_id.DataProductId",
    name: "capo_datazone.types.data_product_name.DataProductName",
    *,
    config_overrides: Optional[AsyncDataZoneClientConfig] = None,
    description: Optional[
        "capo_datazone.types.data_product_description.DataProductDescription"
    ] = None,
    glossary_terms: Optional[
        "capo_datazone.types.glossary_terms.GlossaryTerms"
    ] = None,
    items: Optional[
        "capo_datazone.types.data_product_items.DataProductItems"
    ] = None,
    forms_input: Optional[
        "capo_datazone.types.form_input_list.FormInputList"
    ] = None,
    client_token: Optional["capo_datazone.types.client_token.ClientToken"] = None,
) -> "capo_datazone.types.create_data_product_revision_output.CreateDataProductRevisionOutput":
    """<p>Creates a data product revision.</p> <p>Prerequisites:</p> <ul> <li> <p>The original data product must exist in the given domain. </p> </li> <li> <p>User must have permissions on the data product.</p> </li> <li> <p>The domain must be valid and accessible.</p> </li> <li> <p>The new revision name must comply with naming constraints (if required).</p> </li> </ul>

    Args:
        domain_identifier: <p>The ID of the domain where the data product revision is created.</p>
        identifier: <p>The ID of the data product revision.</p>
        name: <p>The name of the data product revision.</p>
        description: <p>The description of the data product revision.</p>
        glossary_terms: <p>The glossary terms of the data product revision.</p>
        items: <p>The data assets of the data product revision.</p>
        forms_input: <p>The metadata forms of the data product revision.</p>
        client_token: <p>A unique, case-sensitive identifier that is provided to ensure the idempotency of the request.</p>

    Raises:
        capo_datazone.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_datazone.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_datazone.errors.unauthorized_exception.UnauthorizedException: <p>You do not have permission to perform this action.</p>
        capo_datazone.errors.conflict_exception.ConflictException: <p>There is a conflict while performing this action.</p>
        capo_datazone.errors.internal_server_exception.InternalServerException: <p>The request has failed because of an unknown error, exception or failure.</p>
        capo_datazone.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource cannot be found.</p>
        capo_datazone.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the Amazon Web Services service.</p>
        capo_datazone.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_datazone.types.create_data_product_revision_input.CreateDataProductRevisionInput]",
    ) -> AsyncOperationResponse[
        "capo_datazone.types.create_data_product_revision_output.CreateDataProductRevisionOutput"
    ]:
        import capo_datazone._operations.data_zone.create_data_product_revision

        (
            output,
            http_response,
        ) = await capo_datazone._operations.data_zone.create_data_product_revision.async_create_data_product_revision(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_datazone.types.create_data_product_revision_input.CreateDataProductRevisionInput",
    ) -> dict[str, Any]:
        import capo_datazone.types.create_data_product_revision_input

        return (
            capo_datazone.types.create_data_product_revision_input.redact_sensitive(
                input_
            )
        )

    def _redact_output(
        output: "capo_datazone.types.create_data_product_revision_output.CreateDataProductRevisionOutput",
    ) -> dict[str, Any]:
        import capo_datazone.types.create_data_product_revision_output

        return capo_datazone.types.create_data_product_revision_output.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "CreateDataProductRevision",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_datazone.types.create_data_product_revision_input.CreateDataProductRevisionInput = {
        "domain_identifier": domain_identifier,
        "identifier": identifier,
        "name": name,
    }
    if description is not None:
        input_["description"] = description
    if glossary_terms is not None:
        input_["glossary_terms"] = glossary_terms
    if items is not None:
        input_["items"] = items
    if forms_input is not None:
        input_["forms_input"] = forms_input
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output