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list_read_set_activation_jobs async

list_read_set_activation_jobs(
    sequence_store_id: SequenceStoreId,
    *,
    config_overrides: Optional[AsyncOmicsClientConfig] = None,
    max_results: Optional[int] = None,
    next_token: Optional[NextToken] = None,
    filter: Optional[ActivateReadSetFilter] = None,
) -> ListReadSetActivationJobsResponse

Retrieves a list of read set activation jobs and returns the metadata in a JSON formatted output. To extract metadata from a read set activation job, use the GetReadSetActivationJob API operation.

Parameters:

  • sequence_store_id (SequenceStoreId) –

    The read set's sequence store ID.

  • max_results (Optional[int], default: None ) –

    The maximum number of read set activation jobs to return in one page of results.

  • next_token (Optional[NextToken], default: None ) –

    Specify the pagination token from a previous request to retrieve the next page of results.

  • filter (Optional[ActivateReadSetFilter], default: None ) –

    A filter to apply to the list.

Raises:

Source code in docs_src/capo_omics/_services/async_omics.py
async def list_read_set_activation_jobs(
    self,
    sequence_store_id: "capo_omics.types.sequence_store_id.SequenceStoreId",
    *,
    config_overrides: Optional[AsyncOmicsClientConfig] = None,
    max_results: Optional[int] = None,
    next_token: Optional["capo_omics.types.next_token.NextToken"] = None,
    filter: Optional[
        "capo_omics.types.activate_read_set_filter.ActivateReadSetFilter"
    ] = None,
) -> "capo_omics.types.list_read_set_activation_jobs_response.ListReadSetActivationJobsResponse":
    """<p>Retrieves a list of read set activation jobs and returns the metadata in a JSON formatted output. To extract metadata from a read set activation job, use the <code>GetReadSetActivationJob</code> API operation.</p>

    Args:
        sequence_store_id: <p>The read set's sequence store ID.</p>
        max_results: <p>The maximum number of read set activation jobs to return in one page of results.</p>
        next_token: <p>Specify the pagination token from a previous request to retrieve the next page of results.</p>
        filter: <p>A filter to apply to the list.</p>

    Raises:
        capo_omics.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_omics.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred. Try the request again.</p>
        capo_omics.errors.request_timeout_exception.RequestTimeoutException: <p>The request timed out.</p>
        capo_omics.errors.resource_not_found_exception.ResourceNotFoundException: <p>The target resource was not found in the current Region.</p>
        capo_omics.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_omics.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_omics.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_omics.types.list_read_set_activation_jobs_request.ListReadSetActivationJobsRequest]",
    ) -> AsyncOperationResponse[
        "capo_omics.types.list_read_set_activation_jobs_response.ListReadSetActivationJobsResponse"
    ]:
        import capo_omics._operations.omics.list_read_set_activation_jobs

        (
            output,
            http_response,
        ) = await capo_omics._operations.omics.list_read_set_activation_jobs.async_list_read_set_activation_jobs(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListReadSetActivationJobs")
    )
    input_: capo_omics.types.list_read_set_activation_jobs_request.ListReadSetActivationJobsRequest = {
        "sequence_store_id": sequence_store_id
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token
    if filter is not None:
        input_["filter"] = filter

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