1 files changed, 0 insertions, 128 deletions
diff --git a/ml/Chart.h b/ml/Chart.h
deleted file mode 100644
index dbd6a910f..000000000
--- a/ml/Chart.h
+++ /dev/null
@@ -1,128 +0,0 @@
-// SPDX-License-Identifier: GPL-3.0-or-later
-
-#ifndef ML_CHART_H
-#define ML_CHART_H
-
-#include "Config.h"
-#include "Dimension.h"
-
-#include "ml-private.h"
-#include "json/single_include/nlohmann/json.hpp"
-
-namespace ml
-{
-
-class Chart {
-public:
-    Chart(RRDSET *RS) :
-        RS(RS),
-        MLS()
-     { }
-
-    RRDSET *getRS() const {
-        return RS;
-    }
-
-    bool isAvailableForML() {
-        return rrdset_is_available_for_exporting_and_alarms(RS);
-    }
-
-    void addDimension(Dimension *D) {
-        std::lock_guard<Mutex> L(M);
-        Dimensions[D->getRD()] = D;
-    }
-
-    void removeDimension(Dimension *D) {
-        std::lock_guard<Mutex> L(M);
-        Dimensions.erase(D->getRD());
-    }
-
-    void getModelsAsJson(nlohmann::json &Json) {
-        std::lock_guard<Mutex> L(M);
-
-        for (auto &DP : Dimensions) {
-            Dimension *D = DP.second;
-            nlohmann::json JsonArray = nlohmann::json::array();
-            for (const KMeans &KM : D->getModels()) {
-                nlohmann::json J;
-                KM.toJson(J);
-                JsonArray.push_back(J);
-            }
-
-            Json[getMLDimensionID(D->getRD())] = JsonArray;
-        }
-    }
-
-    void updateBegin() {
-        M.lock();
-        MLS = {};
-    }
-
-    void updateDimension(Dimension *D, bool IsAnomalous) {
-        switch (D->getMLS()) {
-            case MachineLearningStatus::DisabledDueToUniqueUpdateEvery:
-                MLS.NumMachineLearningStatusDisabledUE++;
-                return;
-            case MachineLearningStatus::DisabledDueToExcludedChart:
-                MLS.NumMachineLearningStatusDisabledSP++;
-                return;
-            case MachineLearningStatus::Enabled: {
-                MLS.NumMachineLearningStatusEnabled++;
-
-                switch (D->getMT()) {
-                    case MetricType::Constant:
-                        MLS.NumMetricTypeConstant++;
-                        MLS.NumTrainingStatusTrained++;
-                        MLS.NumNormalDimensions++;
-                        return;
-                    case MetricType::Variable:
-                        MLS.NumMetricTypeVariable++;
-                        break;
-                }
-
-                switch (D->getTS()) {
-                    case TrainingStatus::Untrained:
-                        MLS.NumTrainingStatusUntrained++;
-                        return;
-                    case TrainingStatus::PendingWithoutModel:
-                        MLS.NumTrainingStatusPendingWithoutModel++;
-                        return;
-                    case TrainingStatus::Trained:
-                        MLS.NumTrainingStatusTrained++;
-
-                        MLS.NumAnomalousDimensions += IsAnomalous;
-                        MLS.NumNormalDimensions += !IsAnomalous;
-                        return;
-                    case TrainingStatus::PendingWithModel:
-                        MLS.NumTrainingStatusPendingWithModel++;
-
-                        MLS.NumAnomalousDimensions += IsAnomalous;
-                        MLS.NumNormalDimensions += !IsAnomalous;
-                        return;
-                }
-
-                return;
-            }
-        }
-    }
-
-    void updateEnd() {
-        M.unlock();
-    }
-
-    MachineLearningStats getMLS() {
-        std::lock_guard<Mutex> L(M);
-        return MLS;
-    }
-
-private:
-    RRDSET *RS;
-    MachineLearningStats MLS;
-
-    Mutex M;
-    std::unordered_map<RRDDIM *, Dimension *> Dimensions;
-};
-
-} // namespace ml
-
-#endif /* ML_CHART_H */