mirror of
https://git.rwth-aachen.de/acs/public/villas/node/
synced 2025-03-16 00:00:02 +01:00
276 lines
6.8 KiB
C
276 lines
6.8 KiB
C
/** Statistic collection.
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*
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* @author Steffen Vogel <stvogel@eonerc.rwth-aachen.de>
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* @copyright 2017, Institute for Automation of Complex Power Systems, EONERC
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* @license GNU General Public License (version 3)
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*
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* VILLASnode
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*********************************************************************************/
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#include <string.h>
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#include "stats.h"
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#include "hist.h"
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#include "timing.h"
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#include "path.h"
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#include "sample.h"
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#include "utils.h"
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#include "log.h"
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#include "node.h"
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static struct stats_desc {
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const char *name;
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const char *unit;
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const char *desc;
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int hist_buckets;
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} stats_metrics[] = {
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{ "skipped", "samples", "Skipped samples and the distance between them", 25 },
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{ "reordered", "samples", "Reordered samples and the distance between them", 25 },
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{ "gap_sample", "seconds", "Inter-message timestamps (as sent by remote)", 25 },
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{ "gap_received", "seconds", "Inter-message arrival time (as seen by this instance)", 25 },
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{ "owd", "seconds", "One-way-delay (OWD) of received messages", 25 }
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};
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int stats_lookup_format(const char *str)
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{
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if (!strcmp(str, "human"))
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return STATS_FORMAT_HUMAN;
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else if (!strcmp(str, "json"))
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return STATS_FORMAT_JSON;
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else if (!strcmp(str, "matlab"))
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return STATS_FORMAT_MATLAB;
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else
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return -1;
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}
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int stats_init(struct stats *s, int buckets, int warmup)
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{
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for (int i = 0; i < STATS_COUNT; i++)
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hist_init(&s->histograms[i], buckets, warmup);
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s->delta = alloc(sizeof(struct stats_delta));
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return 0;
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}
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int stats_destroy(struct stats *s)
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{
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for (int i = 0; i < STATS_COUNT; i++)
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hist_destroy(&s->histograms[i]);
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free(s->delta);
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return 0;
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}
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void stats_update(struct stats_delta *d, enum stats_id id, double val)
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{
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assert(id >= 0 && id < STATS_COUNT);
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d->values[id] = val;
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d->update |= 1 << id;
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}
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int stats_commit(struct stats *s, struct stats_delta *d)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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if (d->update & 1 << i) {
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hist_put(&s->histograms[i], d->values[i]);
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d->update &= ~(1 << i);
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}
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}
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return 0;
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}
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void stats_collect(struct stats_delta *s, struct sample *smps[], size_t cnt)
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{
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int dist;
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struct sample *previous = s->last;
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for (int i = 0; i < cnt; i++) {
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if (previous) {
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stats_update(s, STATS_GAP_RECEIVED, time_delta(&previous->ts.received, &smps[i]->ts.received));
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stats_update(s, STATS_GAP_SAMPLE, time_delta(&previous->ts.origin, &smps[i]->ts.origin));
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stats_update(s, STATS_OWD, time_delta(&smps[i]->ts.origin, &smps[i]->ts.received));
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dist = smps[i]->sequence - (int32_t) previous->sequence;
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if (dist != 1)
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stats_update(s, STATS_REORDERED, dist);
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}
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previous = smps[i];
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}
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if (s->last)
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sample_put(s->last);
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if (previous)
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sample_get(previous);
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s->last = previous;
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}
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json_t * stats_json(struct stats *s)
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{
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json_t *obj = json_object();
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for (int i = 0; i < STATS_COUNT; i++) {
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struct stats_desc *desc = &stats_metrics[i];
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json_t *stats = hist_json(&s->histograms[i]);
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json_object_set(obj, desc->name, stats);
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}
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return obj;
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}
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json_t * stats_json_periodic(struct stats *s, struct path *p)
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{
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return json_pack("{ s: s, s: f, s: f, s: i, s: i }"
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"path", path_name(p),
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"owd", hist_last(&s->histograms[STATS_OWD]),
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"rate", 1.0 / hist_last(&s->histograms[STATS_GAP_SAMPLE]),
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"dropped", hist_total(&s->histograms[STATS_REORDERED]),
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"skipped", hist_total(&s->histograms[STATS_SKIPPED])
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);
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}
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void stats_reset(struct stats *s)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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hist_reset(&s->histograms[i]);
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}
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}
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static struct table_column stats_cols[] = {
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{ 35, "Path", "%s", NULL, TABLE_ALIGN_LEFT },
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{ 10, "Cnt", "%ju", "p", TABLE_ALIGN_RIGHT },
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{ 10, "OWD last", "%f", "S", TABLE_ALIGN_RIGHT },
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{ 10, "OWD mean", "%f", "S", TABLE_ALIGN_RIGHT },
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{ 10, "Rate last", "%f", "p/S", TABLE_ALIGN_RIGHT },
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{ 10, "Rate mean", "%f", "p/S", TABLE_ALIGN_RIGHT },
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{ 10, "Drop", "%ju", "p", TABLE_ALIGN_RIGHT },
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{ 10, "Skip", "%ju", "p", TABLE_ALIGN_RIGHT }
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};
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static struct table stats_table = {
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.ncols = ARRAY_LEN(stats_cols),
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.cols = stats_cols
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};
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void stats_print_header(enum stats_format fmt)
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{
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switch (fmt) {
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case STATS_FORMAT_HUMAN:
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table_header(&stats_table);
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break;
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default: { }
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}
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}
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void stats_print_footer(enum stats_format fmt)
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{
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switch (fmt) {
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case STATS_FORMAT_HUMAN:
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table_footer(&stats_table);
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break;
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default: { }
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}
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}
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void stats_print_periodic(struct stats *s, FILE *f, enum stats_format fmt, int verbose, struct path *p)
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{
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switch (fmt) {
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case STATS_FORMAT_HUMAN:
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table_row(&stats_table,
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path_name(p),
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hist_total(&s->histograms[STATS_OWD]),
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hist_last(&s->histograms[STATS_OWD]),
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hist_mean(&s->histograms[STATS_OWD]),
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1.0 / hist_last(&s->histograms[STATS_GAP_RECEIVED]),
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1.0 / hist_mean(&s->histograms[STATS_GAP_RECEIVED]),
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hist_total(&s->histograms[STATS_REORDERED]),
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hist_total(&s->histograms[STATS_SKIPPED])
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);
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break;
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case STATS_FORMAT_JSON: {
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json_t *json_stats = stats_json_periodic(s, p);
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json_dumpf(json_stats, f, 0);
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break;
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}
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default: { }
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}
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}
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void stats_print(struct stats *s, FILE *f, enum stats_format fmt, int verbose)
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{
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switch (fmt) {
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case STATS_FORMAT_HUMAN:
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for (int i = 0; i < STATS_COUNT; i++) {
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struct stats_desc *desc = &stats_metrics[i];
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stats("%s: %s", desc->name, desc->desc);
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hist_print(&s->histograms[i], verbose);
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}
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break;
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case STATS_FORMAT_JSON: {
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json_t *json_stats = stats_json(s);
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json_dumpf(json_stats, f, 0);
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fflush(f);
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break;
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}
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default: { }
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}
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}
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void stats_send(struct stats *s, struct node *n)
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{
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char buf[SAMPLE_LEN(STATS_COUNT * 5)];
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struct sample *smp = (struct sample *) buf;
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int i = 0;
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for (int j = 0; j < STATS_COUNT; j++) {
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smp->data[i++].f = hist_last(&s->histograms[j]);
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smp->data[i++].f = hist_highest(&s->histograms[j]);
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smp->data[i++].f = hist_lowest(&s->histograms[j]);
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smp->data[i++].f = hist_mean(&s->histograms[j]);
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smp->data[i++].f = hist_var(&s->histograms[j]);
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}
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smp->length = i;
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node_write(n, &smp, 1); /* Send single message with statistics to destination node */
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}
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enum stats_id stats_lookup_id(const char *name)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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struct stats_desc *desc = &stats_metrics[i];
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if (!strcmp(desc->name, name))
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return i;
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}
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return -1;
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}
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