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+// SPDX-License-Identifier: GPL-3.0-or-later
+
+#ifndef ML_HOST_H
+#define ML_HOST_H
+
+#include "Config.h"
+#include "Dimension.h"
+
+#include "ml-private.h"
+#include "json/single_include/nlohmann/json.hpp"
+
+namespace ml {
+
+class RrdHost {
+public:
+ RrdHost(RRDHOST *RH) : RH(RH) {};
+
+ RRDHOST *getRH() { return RH; }
+
+ unsigned updateEvery() { return RH->rrd_update_every; }
+
+ std::string getUUID() {
+ char S[UUID_STR_LEN];
+ uuid_unparse_lower(RH->host_uuid, S);
+ return S;
+ }
+
+ void addDimension(Dimension *D);
+ void removeDimension(Dimension *D);
+
+ void getConfigAsJson(nlohmann::json &Json) const;
+
+ virtual ~RrdHost() {};
+
+protected:
+ RRDHOST *RH;
+
+ // Protect dimension and lock maps
+ std::mutex Mutex;
+
+ std::unordered_map<RRDDIM *, Dimension *> DimensionsMap;
+ std::unordered_map<Dimension *, std::mutex> LocksMap;
+};
+
+class TrainableHost : public RrdHost {
+public:
+ TrainableHost(RRDHOST *RH) : RrdHost(RH) {}
+
+ void train();
+
+ void updateResourceUsage() {
+ std::lock_guard<std::mutex> Lock(ResourceUsageMutex);
+ getrusage(RUSAGE_THREAD, &ResourceUsage);
+ }
+
+ void getResourceUsage(struct rusage *RU) {
+ std::lock_guard<std::mutex> Lock(ResourceUsageMutex);
+ memcpy(RU, &ResourceUsage, sizeof(struct rusage));
+ }
+
+ void getModelsAsJson(nlohmann::json &Json);
+
+private:
+ std::pair<Dimension *, Duration<double>> findDimensionToTrain(const TimePoint &NowTP);
+ void trainDimension(Dimension *D, const TimePoint &NowTP);
+
+ struct rusage ResourceUsage{};
+ std::mutex ResourceUsageMutex;
+};
+
+class DetectableHost : public TrainableHost {
+public:
+ DetectableHost(RRDHOST *RH) : TrainableHost(RH) {}
+
+ void startAnomalyDetectionThreads();
+ void stopAnomalyDetectionThreads();
+
+ void getDetectionInfoAsJson(nlohmann::json &Json) const;
+
+private:
+ void detect();
+ void detectOnce();
+
+private:
+ std::thread TrainingThread;
+ std::thread DetectionThread;
+
+ CalculatedNumber HostAnomalyRate{0.0};
+
+ size_t NumAnomalousDimensions{0};
+ size_t NumNormalDimensions{0};
+ size_t NumTrainedDimensions{0};
+ size_t NumActiveDimensions{0};
+};
+
+using Host = DetectableHost;
+
+} // namespace ml
+
+#endif /* ML_HOST_H */