public static AnalyzerContext DoAnalysisRun
        (
            DataFrame data,
            IEnumerable <IAnalyzer <IMetric> > analyzers,
            Option <IStateLoader> aggregateWith,
            Option <IStatePersister> saveStatesWith,
            StorageLevel storageLevelOfGroupedDataForMultiplePasses,
            AnalysisRunnerRepositoryOptions metricsRepositoryOptions = default,
            AnalysisRunnerFileOutputOptions fileOutputOptions        = default)
        {
            if (!analyzers.Any())
            {
                return(AnalyzerContext.Empty());
            }

            IEnumerable <IAnalyzer <IMetric> > allAnalyzers = analyzers.Select(analyzer => analyzer);

            IAnalyzer <IMetric>[] enumerable = allAnalyzers as IAnalyzer <IMetric>[] ?? allAnalyzers.ToArray();
            IEnumerable <IAnalyzer <IMetric> > distinctAnalyzers = enumerable.Distinct();


            AnalyzerContext resultComputedPreviously = (metricsRepositoryOptions?.metricRepository.HasValue,
                                                        metricsRepositoryOptions?.reuseExistingResultsForKey.HasValue) switch
            {
                (true, true) => metricsRepositoryOptions?.metricRepository.Value
                .LoadByKey(metricsRepositoryOptions.reuseExistingResultsForKey.Value)
                .GetOrElse(AnalyzerContext.Empty()),
                _ => AnalyzerContext.Empty()
            };


            IEnumerable <IAnalyzer <IMetric> >
            analyzersAlreadyRan = resultComputedPreviously.MetricMap.Keys.AsEnumerable();
            IEnumerable <IAnalyzer <IMetric> > analyzersToRun = enumerable.Except(analyzersAlreadyRan);

            IEnumerable <IAnalyzer <IMetric> > passedAnalyzers = analyzersToRun.Where(analyzer =>
                                                                                      !FindFirstFailing(data.Schema(), analyzer.Preconditions()).HasValue);

            IEnumerable <IAnalyzer <IMetric> > failedAnalyzers = analyzersToRun.Except(passedAnalyzers);

            AnalyzerContext preconditionFailures = ComputePreconditionFailureMetrics(failedAnalyzers, data.Schema());

            IEnumerable <IGroupingAnalyzer <IMetric> > groupingAnalyzers =
                passedAnalyzers.OfType <IGroupingAnalyzer <IMetric> >();

            IEnumerable <IAnalyzer <IMetric> > allScanningAnalyzers =
                passedAnalyzers.Except(groupingAnalyzers).Select(analyzer => analyzer);

            AnalyzerContext nonGroupedMetrics =
                RunScanningAnalyzers(data, allScanningAnalyzers, aggregateWith, saveStatesWith);

            Option <double> numRowsOfData = nonGroupedMetrics.Metric(Initializers.Size()).Select(metric =>
            {
                if (metric is DoubleMetric dm)
                {
                    return(dm.Value.Success.Value);
                }

                return(0);
            });

            AnalyzerContext groupedMetrics = AnalyzerContext.Empty();

            IEnumerable <IGrouping <(IOrderedEnumerable <string>, Option <string>), IGroupingAnalyzer <IMetric> > >
            sortedAndFilteredGroupingAnalyzers = groupingAnalyzers
                                                 .Select(analyzer => analyzer)
                                                 .GroupBy(analyzer => (analyzer.GroupingColumns().OrderBy(columnName => columnName), GetFilterCondition(analyzer)));

            foreach (IGrouping <(IOrderedEnumerable <string>, Option <string>), IGroupingAnalyzer <IMetric> >
                     analyzerGroup in sortedAndFilteredGroupingAnalyzers)
            {
                (long numRows, AnalyzerContext metrics) =
                    RunGroupingAnalyzers(data,
                                         analyzerGroup.Key.Item1.ToList(),
                                         analyzerGroup.Key.Item2, analyzerGroup, aggregateWith, saveStatesWith,
                                         storageLevelOfGroupedDataForMultiplePasses, numRowsOfData);

                groupedMetrics += metrics;

                if (!numRowsOfData.HasValue)
                {
                    numRowsOfData = new Option <double>(numRows);
                }
            }

            AnalyzerContext resultingAnalyzerContext =
                resultComputedPreviously + preconditionFailures + nonGroupedMetrics +
                groupedMetrics; //TODO: add kllMetrics

            if (metricsRepositoryOptions != null)
            {
                SaveOrAppendResultsIfNecessary(resultingAnalyzerContext,
                                               metricsRepositoryOptions.metricRepository,
                                               metricsRepositoryOptions.saveOrAppendResultsWithKey);
            }

            SaveJsonOutputsToFilesystemIfNecessary(fileOutputOptions, resultingAnalyzerContext);

            return(resultingAnalyzerContext);
        }
 private static void SaveJsonOutputsToFilesystemIfNecessary(
     AnalysisRunnerFileOutputOptions fileOutputOptions,
     AnalyzerContext analyzerContext)
 {
     //TODO implement this part
 }