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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-05-04 14:31:17 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-05-04 14:31:17 +0000 |
commit | 8020f71afd34d7696d7933659df2d763ab05542f (patch) | |
tree | 2fdf1b5447ffd8bdd61e702ca183e814afdcb4fc /ml/Host.h | |
parent | Initial commit. (diff) | |
download | netdata-8020f71afd34d7696d7933659df2d763ab05542f.tar.xz netdata-8020f71afd34d7696d7933659df2d763ab05542f.zip |
Adding upstream version 1.37.1.upstream/1.37.1upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'ml/Host.h')
-rw-r--r-- | ml/Host.h | 100 |
1 files changed, 100 insertions, 0 deletions
diff --git a/ml/Host.h b/ml/Host.h new file mode 100644 index 0000000..52a0cd0 --- /dev/null +++ b/ml/Host.h @@ -0,0 +1,100 @@ +// 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 */ |