list_log_sources async ¶

async def list_log_sources(
    self,
    *,
    config_overrides: Optional[AsyncSecurityLakeClientConfig] = None,
    accounts: Optional["capo_securitylake.types.account_list.AccountList"] = None,
    regions: Optional["capo_securitylake.types.region_list.RegionList"] = None,
    sources: Optional[
        "capo_securitylake.types.log_source_resource_list.LogSourceResourceList"
    ] = None,
    max_results: Optional["capo_securitylake.types.max_results.MaxResults"] = None,
    next_token: Optional["capo_securitylake.types.next_token.NextToken"] = None,
) -> "capo_securitylake.types.list_log_sources_response.ListLogSourcesResponse":
    """<p>Retrieves the log sources.</p>

    Args:
        accounts: <p>The list of Amazon Web Services accounts for which log sources are displayed.</p>
        regions: <p>The list of Regions for which log sources are displayed.</p>
        sources: <p>The list of sources for which log sources are displayed.</p>
        max_results: <p>The maximum number of accounts for which the log sources are displayed.</p>
        next_token: <p>If nextToken is returned, there are more results available. You can repeat the call using the returned token to retrieve the next page.</p>

    Raises:
        capo_securitylake.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action. Access denied errors appear when Amazon Security Lake explicitly or implicitly denies an authorization request. An explicit denial occurs when a policy contains a Deny statement for the specific Amazon Web Services action. An implicit denial occurs when there is no applicable Deny statement and also no applicable Allow statement.</p>
        capo_securitylake.errors.bad_request_exception.BadRequestException: <p>The request is malformed or contains an error such as an invalid parameter value or a missing required parameter.</p>
        capo_securitylake.errors.conflict_exception.ConflictException: <p>Occurs when a conflict with a previous successful write is detected. This generally occurs when the previous write did not have time to propagate to the host serving the current request. A retry (with appropriate backoff logic) is the recommended response to this exception.</p>
        capo_securitylake.errors.internal_server_exception.InternalServerException: <p>Internal service exceptions are sometimes caused by transient issues. Before you start troubleshooting, perform the operation again.</p>
        capo_securitylake.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource could not be found.</p>
        capo_securitylake.errors.throttling_exception.ThrottlingException: <p>The limit on the number of requests per second was exceeded.</p>
        capo_securitylake.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_securitylake.types.list_log_sources_request.ListLogSourcesRequest]",
    ) -> AsyncOperationResponse[
        "capo_securitylake.types.list_log_sources_response.ListLogSourcesResponse"
    ]:
        import capo_securitylake._operations.security_lake.list_log_sources

        (
            output,
            http_response,
        ) = await capo_securitylake._operations.security_lake.list_log_sources.async_list_log_sources(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListLogSources")
    )
    input_: capo_securitylake.types.list_log_sources_request.ListLogSourcesRequest = {}
    if accounts is not None:
        input_["accounts"] = accounts
    if regions is not None:
        input_["regions"] = regions
    if sources is not None:
        input_["sources"] = sources
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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