diff options
Diffstat (limited to 'ml/ADCharts.cc')
| -rw-r--r-- | ml/ADCharts.cc | 233 |
1 files changed, 233 insertions, 0 deletions
diff --git a/ml/ADCharts.cc b/ml/ADCharts.cc new file mode 100644 index 000000000..00c593c0c --- /dev/null +++ b/ml/ADCharts.cc @@ -0,0 +1,233 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "ADCharts.h" +#include "Config.h" + +void ml::updateDimensionsChart(RRDHOST *RH, + collected_number NumTrainedDimensions, + collected_number NumNormalDimensions, + collected_number NumAnomalousDimensions) { + static thread_local RRDSET *RS = nullptr; + static thread_local RRDDIM *NumTotalDimensionsRD = nullptr; + static thread_local RRDDIM *NumTrainedDimensionsRD = nullptr; + static thread_local RRDDIM *NumNormalDimensionsRD = nullptr; + static thread_local RRDDIM *NumAnomalousDimensionsRD = nullptr; + + if (!RS) { + std::stringstream IdSS, NameSS; + + IdSS << "dimensions_on_" << localhost->machine_guid; + NameSS << "dimensions_on_" << localhost->hostname; + + RS = rrdset_create( + RH, + "anomaly_detection", // type + IdSS.str().c_str(), // id + NameSS.str().c_str(), // name + "dimensions", // family + "anomaly_detection.dimensions", // ctx + "Anomaly detection dimensions", // title + "dimensions", // units + "netdata", // plugin + "ml", // module + 39183, // priority + RH->rrd_update_every, // update_every + RRDSET_TYPE_LINE // chart_type + ); + rrdset_flag_set(RS, RRDSET_FLAG_ANOMALY_DETECTION); + + NumTotalDimensionsRD = rrddim_add(RS, "total", NULL, + 1, 1, RRD_ALGORITHM_ABSOLUTE); + NumTrainedDimensionsRD = rrddim_add(RS, "trained", NULL, + 1, 1, RRD_ALGORITHM_ABSOLUTE); + NumNormalDimensionsRD = rrddim_add(RS, "normal", NULL, + 1, 1, RRD_ALGORITHM_ABSOLUTE); + NumAnomalousDimensionsRD = rrddim_add(RS, "anomalous", NULL, + 1, 1, RRD_ALGORITHM_ABSOLUTE); + } + + rrddim_set_by_pointer(RS, NumTotalDimensionsRD, NumNormalDimensions + NumAnomalousDimensions); + rrddim_set_by_pointer(RS, NumTrainedDimensionsRD, NumTrainedDimensions); + rrddim_set_by_pointer(RS, NumNormalDimensionsRD, NumNormalDimensions); + rrddim_set_by_pointer(RS, NumAnomalousDimensionsRD, NumAnomalousDimensions); + + rrdset_done(RS); +} + +void ml::updateHostAndDetectionRateCharts(RRDHOST *RH, collected_number AnomalyRate) { + static thread_local RRDSET *HostRateRS = nullptr; + static thread_local RRDDIM *AnomalyRateRD = nullptr; + + if (!HostRateRS) { + std::stringstream IdSS, NameSS; + + IdSS << "anomaly_rate_on_" << localhost->machine_guid; + NameSS << "anomaly_rate_on_" << localhost->hostname; + + HostRateRS = rrdset_create( + RH, + "anomaly_detection", // type + IdSS.str().c_str(), // id + NameSS.str().c_str(), // name + "anomaly_rate", // family + "anomaly_detection.anomaly_rate", // ctx + "Percentage of anomalous dimensions", // title + "percentage", // units + "netdata", // plugin + "ml", // module + 39184, // priority + RH->rrd_update_every, // update_every + RRDSET_TYPE_LINE // chart_type + ); + rrdset_flag_set(HostRateRS, RRDSET_FLAG_ANOMALY_DETECTION); + + AnomalyRateRD = rrddim_add(HostRateRS, "anomaly_rate", NULL, + 1, 100, RRD_ALGORITHM_ABSOLUTE); + } + + rrddim_set_by_pointer(HostRateRS, AnomalyRateRD, AnomalyRate); + rrdset_done(HostRateRS); + + static thread_local RRDSET *AnomalyDetectionRS = nullptr; + static thread_local RRDDIM *AboveThresholdRD = nullptr; + static thread_local RRDDIM *NewAnomalyEventRD = nullptr; + + if (!AnomalyDetectionRS) { + std::stringstream IdSS, NameSS; + + IdSS << "anomaly_detection_on_" << localhost->machine_guid; + NameSS << "anomaly_detection_on_" << localhost->hostname; + + AnomalyDetectionRS = rrdset_create( + RH, + "anomaly_detection", // type + IdSS.str().c_str(), // id + NameSS.str().c_str(), // name + "anomaly_detection", // family + "anomaly_detection.detector_events", // ctx + "Anomaly detection events", // title + "percentage", // units + "netdata", // plugin + "ml", // module + 39185, // priority + RH->rrd_update_every, // update_every + RRDSET_TYPE_LINE // chart_type + ); + rrdset_flag_set(AnomalyDetectionRS, RRDSET_FLAG_ANOMALY_DETECTION); + + AboveThresholdRD = rrddim_add(AnomalyDetectionRS, "above_threshold", NULL, + 1, 1, RRD_ALGORITHM_ABSOLUTE); + NewAnomalyEventRD = rrddim_add(AnomalyDetectionRS, "new_anomaly_event", NULL, + 1, 1, RRD_ALGORITHM_ABSOLUTE); + } + + /* + * Compute the values of the dimensions based on the host rate chart + */ + ONEWAYALLOC *OWA = onewayalloc_create(0); + time_t Now = now_realtime_sec(); + time_t Before = Now - RH->rrd_update_every; + time_t After = Before - Cfg.AnomalyDetectionQueryDuration; + RRDR_OPTIONS Options = static_cast<RRDR_OPTIONS>(0x00000000); + + RRDR *R = rrd2rrdr_legacy( + OWA, HostRateRS, + 1 /* points wanted */, + After, + Before, + Cfg.AnomalyDetectionGroupingMethod, + 0 /* resampling time */, + Options, "anomaly_rate", + NULL /* group options */, + 0, /* timeout */ + 0, /* tier */ + QUERY_SOURCE_ML + ); + if(R) { + assert(R->d == 1 && R->n == 1 && R->rows == 1); + + static thread_local bool PrevAboveThreshold = false; + bool AboveThreshold = R->v[0] >= Cfg.HostAnomalyRateThreshold; + bool NewAnomalyEvent = AboveThreshold && !PrevAboveThreshold; + PrevAboveThreshold = AboveThreshold; + + rrddim_set_by_pointer(AnomalyDetectionRS, AboveThresholdRD, AboveThreshold); + rrddim_set_by_pointer(AnomalyDetectionRS, NewAnomalyEventRD, NewAnomalyEvent); + rrdset_done(AnomalyDetectionRS); + + rrdr_free(OWA, R); + } + onewayalloc_destroy(OWA); +} + +void ml::updateDetectionChart(RRDHOST *RH) { + static thread_local RRDSET *RS = nullptr; + static thread_local RRDDIM *UserRD, *SystemRD = nullptr; + + if (!RS) { + std::stringstream IdSS, NameSS; + + IdSS << "prediction_stats_" << RH->machine_guid; + NameSS << "prediction_stats_for_" << RH->hostname; + + RS = rrdset_create_localhost( + "netdata", // type + IdSS.str().c_str(), // id + NameSS.str().c_str(), // name + "ml", // family + "netdata.prediction_stats", // ctx + "Prediction thread CPU usage", // title + "milliseconds/s", // units + "netdata", // plugin + "ml", // module + 136000, // priority + RH->rrd_update_every, // update_every + RRDSET_TYPE_STACKED // chart_type + ); + + UserRD = rrddim_add(RS, "user", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + SystemRD = rrddim_add(RS, "system", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + } + + struct rusage TRU; + getrusage(RUSAGE_THREAD, &TRU); + + rrddim_set_by_pointer(RS, UserRD, TRU.ru_utime.tv_sec * 1000000ULL + TRU.ru_utime.tv_usec); + rrddim_set_by_pointer(RS, SystemRD, TRU.ru_stime.tv_sec * 1000000ULL + TRU.ru_stime.tv_usec); + rrdset_done(RS); +} + +void ml::updateTrainingChart(RRDHOST *RH, struct rusage *TRU) { + static thread_local RRDSET *RS = nullptr; + static thread_local RRDDIM *UserRD = nullptr; + static thread_local RRDDIM *SystemRD = nullptr; + + if (!RS) { + std::stringstream IdSS, NameSS; + + IdSS << "training_stats_" << RH->machine_guid; + NameSS << "training_stats_for_" << RH->hostname; + + RS = rrdset_create_localhost( + "netdata", // type + IdSS.str().c_str(), // id + NameSS.str().c_str(), // name + "ml", // family + "netdata.training_stats", // ctx + "Training thread CPU usage", // title + "milliseconds/s", // units + "netdata", // plugin + "ml", // module + 136001, // priority + RH->rrd_update_every, // update_every + RRDSET_TYPE_STACKED // chart_type + ); + + UserRD = rrddim_add(RS, "user", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + SystemRD = rrddim_add(RS, "system", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + } + + rrddim_set_by_pointer(RS, UserRD, TRU->ru_utime.tv_sec * 1000000ULL + TRU->ru_utime.tv_usec); + rrddim_set_by_pointer(RS, SystemRD, TRU->ru_stime.tv_sec * 1000000ULL + TRU->ru_stime.tv_usec); + rrdset_done(RS); +} |