post_time_series_data_points async ¶

async def post_time_series_data_points(
    self,
    domain_identifier: "capo_datazone.types.domain_id.DomainId",
    entity_identifier: "capo_datazone.types.entity_identifier.EntityIdentifier",
    entity_type: "capo_datazone.types.time_series_entity_type.TimeSeriesEntityType",
    forms: "capo_datazone.types.time_series_data_point_form_input_list.TimeSeriesDataPointFormInputList",
    *,
    config_overrides: Optional[AsyncDataZoneClientConfig] = None,
    client_token: Optional["capo_datazone.types.client_token.ClientToken"] = None,
) -> "capo_datazone.types.post_time_series_data_points_output.PostTimeSeriesDataPointsOutput":
    """<p>Posts time series data points to Amazon DataZone for the specified asset.</p>

    Args:
        domain_identifier: <p>The ID of the Amazon DataZone domain in which you want to post time series data points.</p>
        entity_identifier: <p>The ID of the asset for which you want to post time series data points.</p>
        entity_type: <p>The type of the asset for which you want to post data points.</p>
        forms: <p>The forms that contain the data points that you want to post.</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.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The request has exceeded the specified service quota.</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.post_time_series_data_points_input.PostTimeSeriesDataPointsInput]",
    ) -> AsyncOperationResponse[
        "capo_datazone.types.post_time_series_data_points_output.PostTimeSeriesDataPointsOutput"
    ]:
        import capo_datazone._operations.data_zone.post_time_series_data_points

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("PostTimeSeriesDataPoints")
    )
    input_: capo_datazone.types.post_time_series_data_points_input.PostTimeSeriesDataPointsInput = {
        "domain_identifier": domain_identifier,
        "entity_identifier": entity_identifier,
        "entity_type": entity_type,
        "forms": forms,
    }
    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