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-rw-r--r--ml/ad_charts.cc167
1 files changed, 69 insertions, 98 deletions
diff --git a/ml/ad_charts.cc b/ml/ad_charts.cc
index 086cd5aa02..a32ff6c650 100644
--- a/ml/ad_charts.cc
+++ b/ml/ad_charts.cc
@@ -6,7 +6,7 @@ void ml_update_dimensions_chart(ml_host_t *host, const ml_machine_learning_stats
/*
* Machine learning status
*/
- if (Cfg.enable_statistics_charts) {
+ {
if (!host->machine_learning_status_rs) {
char id_buf[1024];
char name_buf[1024];
@@ -48,7 +48,7 @@ void ml_update_dimensions_chart(ml_host_t *host, const ml_machine_learning_stats
/*
* Metric type
*/
- if (Cfg.enable_statistics_charts) {
+ {
if (!host->metric_type_rs) {
char id_buf[1024];
char name_buf[1024];
@@ -90,7 +90,7 @@ void ml_update_dimensions_chart(ml_host_t *host, const ml_machine_learning_stats
/*
* Training status
*/
- if (Cfg.enable_statistics_charts) {
+ {
if (!host->training_status_rs) {
char id_buf[1024];
char name_buf[1024];
@@ -179,6 +179,7 @@ void ml_update_dimensions_chart(ml_host_t *host, const ml_machine_learning_stats
rrdset_done(host->dimensions_rs);
}
+
}
void ml_update_host_and_detection_rate_charts(ml_host_t *host, collected_number AnomalyRate) {
@@ -300,20 +301,20 @@ void ml_update_host_and_detection_rate_charts(ml_host_t *host, collected_number
}
}
-void ml_update_training_statistics_chart(ml_training_thread_t *training_thread, const ml_training_stats_t &ts) {
+void ml_update_training_statistics_chart(ml_host_t *host, const ml_training_stats_t &ts) {
/*
* queue stats
*/
{
- if (!training_thread->queue_stats_rs) {
+ if (!host->queue_stats_rs) {
char id_buf[1024];
char name_buf[1024];
- snprintfz(id_buf, 1024, "training_queue_%zu_stats", training_thread->id);
- snprintfz(name_buf, 1024, "training_queue_%zu_stats", training_thread->id);
+ snprintfz(id_buf, 1024, "queue_stats_on_%s", localhost->machine_guid);
+ snprintfz(name_buf, 1024, "queue_stats_on_%s", rrdhost_hostname(localhost));
- training_thread->queue_stats_rs = rrdset_create(
- localhost,
+ host->queue_stats_rs = rrdset_create(
+ host->rh,
"netdata", // type
id_buf, // id
name_buf, // name
@@ -327,35 +328,35 @@ void ml_update_training_statistics_chart(ml_training_thread_t *training_thread,
localhost->rrd_update_every, // update_every
RRDSET_TYPE_LINE// chart_type
);
- rrdset_flag_set(training_thread->queue_stats_rs, RRDSET_FLAG_ANOMALY_DETECTION);
+ rrdset_flag_set(host->queue_stats_rs, RRDSET_FLAG_ANOMALY_DETECTION);
- training_thread->queue_stats_queue_size_rd =
- rrddim_add(training_thread->queue_stats_rs, "queue_size", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
- training_thread->queue_stats_popped_items_rd =
- rrddim_add(training_thread->queue_stats_rs, "popped_items", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+ host->queue_stats_queue_size_rd =
+ rrddim_add(host->queue_stats_rs, "queue_size", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+ host->queue_stats_popped_items_rd =
+ rrddim_add(host->queue_stats_rs, "popped_items", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
}
- rrddim_set_by_pointer(training_thread->queue_stats_rs,
- training_thread->queue_stats_queue_size_rd, ts.queue_size);
- rrddim_set_by_pointer(training_thread->queue_stats_rs,
- training_thread->queue_stats_popped_items_rd, ts.num_popped_items);
+ rrddim_set_by_pointer(host->queue_stats_rs,
+ host->queue_stats_queue_size_rd, ts.queue_size);
+ rrddim_set_by_pointer(host->queue_stats_rs,
+ host->queue_stats_popped_items_rd, ts.num_popped_items);
- rrdset_done(training_thread->queue_stats_rs);
+ rrdset_done(host->queue_stats_rs);
}
/*
* training stats
*/
{
- if (!training_thread->training_time_stats_rs) {
+ if (!host->training_time_stats_rs) {
char id_buf[1024];
char name_buf[1024];
- snprintfz(id_buf, 1024, "training_queue_%zu_time_stats", training_thread->id);
- snprintfz(name_buf, 1024, "training_queue_%zu_time_stats", training_thread->id);
+ snprintfz(id_buf, 1024, "training_time_stats_on_%s", localhost->machine_guid);
+ snprintfz(name_buf, 1024, "training_time_stats_on_%s", rrdhost_hostname(localhost));
- training_thread->training_time_stats_rs = rrdset_create(
- localhost,
+ host->training_time_stats_rs = rrdset_create(
+ host->rh,
"netdata", // type
id_buf, // id
name_buf, // name
@@ -369,39 +370,39 @@ void ml_update_training_statistics_chart(ml_training_thread_t *training_thread,
localhost->rrd_update_every, // update_every
RRDSET_TYPE_LINE// chart_type
);
- rrdset_flag_set(training_thread->training_time_stats_rs, RRDSET_FLAG_ANOMALY_DETECTION);
-
- training_thread->training_time_stats_allotted_rd =
- rrddim_add(training_thread->training_time_stats_rs, "allotted", NULL, 1, 1000, RRD_ALGORITHM_ABSOLUTE);
- training_thread->training_time_stats_consumed_rd =
- rrddim_add(training_thread->training_time_stats_rs, "consumed", NULL, 1, 1000, RRD_ALGORITHM_ABSOLUTE);
- training_thread->training_time_stats_remaining_rd =
- rrddim_add(training_thread->training_time_stats_rs, "remaining", NULL, 1, 1000, RRD_ALGORITHM_ABSOLUTE);
+ rrdset_flag_set(host->training_time_stats_rs, RRDSET_FLAG_ANOMALY_DETECTION);
+
+ host->training_time_stats_allotted_rd =
+ rrddim_add(host->training_time_stats_rs, "allotted", NULL, 1, 1000, RRD_ALGORITHM_ABSOLUTE);
+ host->training_time_stats_consumed_rd =
+ rrddim_add(host->training_time_stats_rs, "consumed", NULL, 1, 1000, RRD_ALGORITHM_ABSOLUTE);
+ host->training_time_stats_remaining_rd =
+ rrddim_add(host->training_time_stats_rs, "remaining", NULL, 1, 1000, RRD_ALGORITHM_ABSOLUTE);
}
- rrddim_set_by_pointer(training_thread->training_time_stats_rs,
- training_thread->training_time_stats_allotted_rd, ts.allotted_ut);
- rrddim_set_by_pointer(training_thread->training_time_stats_rs,
- training_thread->training_time_stats_consumed_rd, ts.consumed_ut);
- rrddim_set_by_pointer(training_thread->training_time_stats_rs,
- training_thread->training_time_stats_remaining_rd, ts.remaining_ut);
+ rrddim_set_by_pointer(host->training_time_stats_rs,
+ host->training_time_stats_allotted_rd, ts.allotted_ut);
+ rrddim_set_by_pointer(host->training_time_stats_rs,
+ host->training_time_stats_consumed_rd, ts.consumed_ut);
+ rrddim_set_by_pointer(host->training_time_stats_rs,
+ host->training_time_stats_remaining_rd, ts.remaining_ut);
- rrdset_done(training_thread->training_time_stats_rs);
+ rrdset_done(host->training_time_stats_rs);
}
/*
* training result stats
*/
{
- if (!training_thread->training_results_rs) {
+ if (!host->training_results_rs) {
char id_buf[1024];
char name_buf[1024];
- snprintfz(id_buf, 1024, "training_queue_%zu_results", training_thread->id);
- snprintfz(name_buf, 1024, "training_queue_%zu_results", training_thread->id);
+ snprintfz(id_buf, 1024, "training_results_on_%s", localhost->machine_guid);
+ snprintfz(name_buf, 1024, "training_results_on_%s", rrdhost_hostname(localhost));
- training_thread->training_results_rs = rrdset_create(
- localhost,
+ host->training_results_rs = rrdset_create(
+ host->rh,
"netdata", // type
id_buf, // id
name_buf, // name
@@ -415,61 +416,31 @@ void ml_update_training_statistics_chart(ml_training_thread_t *training_thread,
localhost->rrd_update_every, // update_every
RRDSET_TYPE_LINE// chart_type
);
- rrdset_flag_set(training_thread->training_results_rs, RRDSET_FLAG_ANOMALY_DETECTION);
-
- training_thread->training_results_ok_rd =
- rrddim_add(training_thread->training_results_rs, "ok", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
- training_thread->training_results_invalid_query_time_range_rd =
- rrddim_add(training_thread->training_results_rs, "invalid-queries", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
- training_thread->training_results_not_enough_collected_values_rd =
- rrddim_add(training_thread->training_results_rs, "not-enough-values", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
- training_thread->training_results_null_acquired_dimension_rd =
- rrddim_add(training_thread->training_results_rs, "null-acquired-dimensions", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
- training_thread->training_results_chart_under_replication_rd =
- rrddim_add(training_thread->training_results_rs, "chart-under-replication", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+ rrdset_flag_set(host->training_results_rs, RRDSET_FLAG_ANOMALY_DETECTION);
+
+ host->training_results_ok_rd =
+ rrddim_add(host->training_results_rs, "ok", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+ host->training_results_invalid_query_time_range_rd =
+ rrddim_add(host->training_results_rs, "invalid-queries", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+ host->training_results_not_enough_collected_values_rd =
+ rrddim_add(host->training_results_rs, "not-enough-values", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+ host->training_results_null_acquired_dimension_rd =
+ rrddim_add(host->training_results_rs, "null-acquired-dimensions", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+ host->training_results_chart_under_replication_rd =
+ rrddim_add(host->training_results_rs, "chart-under-replication", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
}
- rrddim_set_by_pointer(training_thread->training_results_rs,
- training_thread->training_results_ok_rd, ts.training_result_ok);
- rrddim_set_by_pointer(training_thread->training_results_rs,
- training_thread->training_results_invalid_query_time_range_rd, ts.training_result_invalid_query_time_range);
- rrddim_set_by_pointer(training_thread->training_results_rs,
- training_thread->training_results_not_enough_collected_values_rd, ts.training_result_not_enough_collected_values);
- rrddim_set_by_pointer(training_thread->training_results_rs,
- training_thread->training_results_null_acquired_dimension_rd, ts.training_result_null_acquired_dimension);
- rrddim_set_by_pointer(training_thread->training_results_rs,
- training_thread->training_results_chart_under_replication_rd, ts.training_result_chart_under_replication);
-
- rrdset_done(training_thread->training_results_rs);
- }
-}
-
-void ml_update_global_statistics_charts(uint64_t models_consulted) {
- if (Cfg.enable_statistics_charts) {
- static RRDSET *st = NULL;
- static RRDDIM *rd = NULL;
-
- if (unlikely(!st)) {
- st = rrdset_create_localhost(
- "netdata" // type
- , "ml_models_consulted" // id
- , NULL // name
- , NETDATA_ML_CHART_FAMILY // family
- , NULL // context
- , "KMeans models used for prediction" // title
- , "models" // units
- , NETDATA_ML_PLUGIN // plugin
- , NETDATA_ML_MODULE_DETECTION // module
- , NETDATA_ML_CHART_PRIO_MACHINE_LEARNING_STATUS // priority
- , localhost->rrd_update_every // update_every
- , RRDSET_TYPE_AREA // chart_type
- );
-
- rd = rrddim_add(st, "num_models_consulted", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
- }
-
- rrddim_set_by_pointer(st, rd, (collected_number) models_consulted);
-
- rrdset_done(st);
+ rrddim_set_by_pointer(host->training_results_rs,
+ host->training_results_ok_rd, ts.training_result_ok);
+ rrddim_set_by_pointer(host->training_results_rs,
+ host->training_results_invalid_query_time_range_rd, ts.training_result_invalid_query_time_range);
+ rrddim_set_by_pointer(host->training_results_rs,
+ host->training_results_not_enough_collected_values_rd, ts.training_result_not_enough_collected_values);
+ rrddim_set_by_pointer(host->training_results_rs,
+ host->training_results_null_acquired_dimension_rd, ts.training_result_null_acquired_dimension);
+ rrddim_set_by_pointer(host->training_results_rs,
+ host->training_results_chart_under_replication_rd, ts.training_result_chart_under_replication);
+
+ rrdset_done(host->training_results_rs);
}
}
generated by cgit v1.2.3 (git 2.25.1) at 2024-08-22 18:45:46 +0000