)

// AnalysisResult represents the returnable results of an analysis execution
type AnalysisResult struct {
	Messages          diag.Messages
	MappedMessages    map[string]diag.Messages
	SkippedAnalyzers  []string
	ExecutedAnalyzers []string

	sa.AddRunningKubeSource(k)

	cancel := make(chan struct{})
	result, err := sa.Analyze(cancel)
	if err != nil {
		return nil, err
	}

	if len(result.SkippedAnalyzers) > 0 {
		log.Infof("Skipped analyzers:")
		for _, a := range result.SkippedAnalyzers {
			log.Infof("\t: %s", a)
		}
	}
	if len(result.ExecutedAnalyzers) > 0 {
		log.Infof("Executed analyzers:")
		for _, a := range result.ExecutedAnalyzers {

			if verbose {
				fmt.Fprintf(cmd.ErrOrStderr(), "Analyzed resources in %s\n", analyzeTargetAsString())

				if len(result.SkippedAnalyzers) > 0 {
					fmt.Fprintln(cmd.ErrOrStderr(), "Skipped analyzers:")
					for _, a := range result.SkippedAnalyzers {
						fmt.Fprintln(cmd.ErrOrStderr(), "\t", a)
					}
				}
				if len(result.ExecutedAnalyzers) > 0 {

	var schemas collection.Schemas
	for _, store := range sa.multiClusterStores {
		schemas = schemas.Union(store.Schemas())
	}

	var result AnalysisResult
	result.ExecutedAnalyzers = a.AnalyzerNames()
	result.SkippedAnalyzers = a.RemoveSkipped(schemas)
	result.MappedMessages = make(map[string]diag.Messages, len(result.ExecutedAnalyzers))

	for _, store := range sa.multiClusterStores {