describe_network_insights_access_scope_analyses ¶

def describe_network_insights_access_scope_analyses(
    self,
    *,
    config_overrides: Optional[EC2ClientConfig] = None,
    network_insights_access_scope_analysis_ids: Optional[
        "capo_ec2.types.network_insights_access_scope_analysis_id_list.NetworkInsightsAccessScopeAnalysisIdList"
    ] = None,
    network_insights_access_scope_id: Optional[
        "capo_ec2.types.network_insights_access_scope_id.NetworkInsightsAccessScopeId"
    ] = None,
    analysis_start_time_begin: Optional[
        "capo_ec2.types.millisecond_date_time.MillisecondDateTime"
    ] = None,
    analysis_start_time_end: Optional[
        "capo_ec2.types.millisecond_date_time.MillisecondDateTime"
    ] = None,
    filters: Optional["capo_ec2.types.filter_list.FilterList"] = None,
    max_results: Optional[
        "capo_ec2.types.network_insights_max_results.NetworkInsightsMaxResults"
    ] = None,
    dry_run: Optional["capo_ec2.types.boolean.Boolean"] = None,
    next_token: Optional["capo_ec2.types.next_token.NextToken"] = None,
) -> "capo_ec2.types.describe_network_insights_access_scope_analyses_result.DescribeNetworkInsightsAccessScopeAnalysesResult":
    """<p>Describes the specified Network Access Scope analyses.</p>

    Args:
        network_insights_access_scope_analysis_ids: <p>The IDs of the Network Access Scope analyses.</p>
        network_insights_access_scope_id: <p>The ID of the Network Access Scope.</p>
        analysis_start_time_begin: <p>Filters the results based on the start time. The analysis must have started on or after this time.</p>
        analysis_start_time_end: <p>Filters the results based on the start time. The analysis must have started on or before this time.</p>
        filters: <p>There are no supported filters.</p>
        max_results: <p>The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned <code>nextToken</code> value.</p>
        dry_run: <p>Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is <code>DryRunOperation</code>. Otherwise, it is <code>UnauthorizedOperation</code>.</p>
        next_token: <p>The token for the next page of results.</p>

    Raises:
        capo_ec2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_ec2.types.describe_network_insights_access_scope_analyses_request.DescribeNetworkInsightsAccessScopeAnalysesRequest]",
    ) -> OperationResponse[
        "capo_ec2.types.describe_network_insights_access_scope_analyses_result.DescribeNetworkInsightsAccessScopeAnalysesResult"
    ]:
        import capo_ec2._operations.amazon_ec2.describe_network_insights_access_scope_analyses

        output, http_response = (
            capo_ec2._operations.amazon_ec2.describe_network_insights_access_scope_analyses.describe_network_insights_access_scope_analyses(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("DescribeNetworkInsightsAccessScopeAnalyses"),
    )
    input_: capo_ec2.types.describe_network_insights_access_scope_analyses_request.DescribeNetworkInsightsAccessScopeAnalysesRequest = {}
    if network_insights_access_scope_analysis_ids is not None:
        input_["network_insights_access_scope_analysis_ids"] = (
            network_insights_access_scope_analysis_ids
        )
    if network_insights_access_scope_id is not None:
        input_["network_insights_access_scope_id"] = (
            network_insights_access_scope_id
        )
    if analysis_start_time_begin is not None:
        input_["analysis_start_time_begin"] = analysis_start_time_begin
    if analysis_start_time_end is not None:
        input_["analysis_start_time_end"] = analysis_start_time_end
    if filters is not None:
        input_["filters"] = filters
    if max_results is not None:
        input_["max_results"] = max_results
    if dry_run is not None:
        input_["dry_run"] = dry_run
    if next_token is not None:
        input_["next_token"] = next_token

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