update_sequence_store ¶

def update_sequence_store(
    self,
    id: "capo_omics.types.sequence_store_id.SequenceStoreId",
    *,
    config_overrides: Optional[OmicsClientConfig] = None,
    name: Optional["capo_omics.types.sequence_store_name.SequenceStoreName"] = None,
    description: Optional[
        "capo_omics.types.sequence_store_description.SequenceStoreDescription"
    ] = None,
    client_token: Optional["capo_omics.types.client_token.ClientToken"] = None,
    fallback_location: Optional[
        "capo_omics.types.fallback_location.FallbackLocation"
    ] = None,
    propagated_set_level_tags: Optional[
        "capo_omics.types.propagated_set_level_tags.PropagatedSetLevelTags"
    ] = None,
    s3_access_config: Optional[
        "capo_omics.types.s3_access_config.S3AccessConfig"
    ] = None,
) -> "capo_omics.types.update_sequence_store_response.UpdateSequenceStoreResponse":
    """<p>Update one or more parameters for the sequence store.</p>

    Args:
        id: <p>The ID of the sequence store.</p>
        name: <p>A name for the sequence store.</p>
        description: <p>A description for the sequence store.</p>
        client_token: <p>To ensure that requests don't run multiple times, specify a unique token for each request.</p>
        fallback_location: <p>The S3 URI of a bucket and folder to store Read Sets that fail to upload.</p>
        propagated_set_level_tags: <p>The tags keys to propagate to the S3 objects associated with read sets in the sequence store.</p>
        s3_access_config: <p>S3 access configuration parameters.</p>

    Raises:
        capo_omics.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_omics.errors.conflict_exception.ConflictException: <p>The request cannot be applied to the target resource in its current state.</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.
    """

    def _handler(
        req: "OperationRequest[capo_omics.types.update_sequence_store_request.UpdateSequenceStoreRequest]",
    ) -> OperationResponse[
        "capo_omics.types.update_sequence_store_response.UpdateSequenceStoreResponse"
    ]:
        import capo_omics._operations.omics.update_sequence_store

        output, http_response = (
            capo_omics._operations.omics.update_sequence_store.update_sequence_store(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateSequenceStore")
    )
    input_: capo_omics.types.update_sequence_store_request.UpdateSequenceStoreRequest = {
        "id": id
    }
    if name is not None:
        input_["name"] = name
    if description is not None:
        input_["description"] = description
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token
    if fallback_location is not None:
        input_["fallback_location"] = fallback_location
    if propagated_set_level_tags is not None:
        input_["propagated_set_level_tags"] = propagated_set_level_tags
    if s3_access_config is not None:
        input_["s3_access_config"] = s3_access_config

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