list_worker_blocks ¶

def list_worker_blocks(
    self,
    *,
    config_overrides: Optional[MTurkClientConfig] = None,
    next_token: Optional[
        "capo_mturk.types.pagination_token.PaginationToken"
    ] = None,
    max_results: Optional["capo_mturk.types.result_size.ResultSize"] = None,
) -> "capo_mturk.types.list_worker_blocks_response.ListWorkerBlocksResponse":
    """<p>The <code>ListWorkersBlocks</code> operation retrieves a list of Workers who are blocked from working on your HITs.</p>

    Args:
        next_token: <p>Pagination token</p>

    Raises:
        capo_mturk.errors.request_error.RequestError: <p>Your request is invalid.</p>
        capo_mturk.errors.service_fault.ServiceFault: <p>Amazon Mechanical Turk is temporarily unable to process your request. Try your call again.</p>
        capo_mturk.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_mturk.types.list_worker_blocks_request.ListWorkerBlocksRequest]",
    ) -> OperationResponse[
        "capo_mturk.types.list_worker_blocks_response.ListWorkerBlocksResponse"
    ]:
        import capo_mturk._operations.m_turk_requester_service_v20170117.list_worker_blocks

        output, http_response = (
            capo_mturk._operations.m_turk_requester_service_v20170117.list_worker_blocks.list_worker_blocks(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListWorkerBlocks")
    )
    input_: capo_mturk.types.list_worker_blocks_request.ListWorkerBlocksRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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