summaryrefslogtreecommitdiffstats
path: root/web/api/queries/rrdr.c
diff options
context:
space:
mode:
Diffstat (limited to 'web/api/queries/rrdr.c')
-rw-r--r--web/api/queries/rrdr.c624
1 files changed, 624 insertions, 0 deletions
diff --git a/web/api/queries/rrdr.c b/web/api/queries/rrdr.c
new file mode 100644
index 0000000000..e3c103ef9c
--- /dev/null
+++ b/web/api/queries/rrdr.c
@@ -0,0 +1,624 @@
+// SPDX-License-Identifier: GPL-3.0-or-later
+
+#include "rrdr.h"
+
+/*
+static void rrdr_dump(RRDR *r)
+{
+ long c, i;
+ RRDDIM *d;
+
+ fprintf(stderr, "\nCHART %s (%s)\n", r->st->id, r->st->name);
+
+ for(c = 0, d = r->st->dimensions; d ;c++, d = d->next) {
+ fprintf(stderr, "DIMENSION %s (%s), %s%s%s%s\n"
+ , d->id
+ , d->name
+ , (r->od[c] & RRDR_EMPTY)?"EMPTY ":""
+ , (r->od[c] & RRDR_RESET)?"RESET ":""
+ , (r->od[c] & RRDR_DIMENSION_HIDDEN)?"HIDDEN ":""
+ , (r->od[c] & RRDR_DIMENSION_NONZERO)?"NONZERO ":""
+ );
+ }
+
+ if(r->rows <= 0) {
+ fprintf(stderr, "RRDR does not have any values in it.\n");
+ return;
+ }
+
+ fprintf(stderr, "RRDR includes %d values in it:\n", r->rows);
+
+ // for each line in the array
+ for(i = 0; i < r->rows ;i++) {
+ calculated_number *cn = &r->v[ i * r->d ];
+ RRDR_DIMENSION_FLAGS *co = &r->o[ i * r->d ];
+
+ // print the id and the timestamp of the line
+ fprintf(stderr, "%ld %ld ", i + 1, r->t[i]);
+
+ // for each dimension
+ for(c = 0, d = r->st->dimensions; d ;c++, d = d->next) {
+ if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue;
+ if(unlikely(!(r->od[c] & RRDR_DIMENSION_NONZERO))) continue;
+
+ if(co[c] & RRDR_EMPTY)
+ fprintf(stderr, "null ");
+ else
+ fprintf(stderr, CALCULATED_NUMBER_FORMAT " %s%s%s%s "
+ , cn[c]
+ , (co[c] & RRDR_EMPTY)?"E":" "
+ , (co[c] & RRDR_RESET)?"R":" "
+ , (co[c] & RRDR_DIMENSION_HIDDEN)?"H":" "
+ , (co[c] & RRDR_DIMENSION_NONZERO)?"N":" "
+ );
+ }
+
+ fprintf(stderr, "\n");
+ }
+}
+*/
+
+#define JSON_DATES_JS 1
+#define JSON_DATES_TIMESTAMP 2
+
+void rrdr2json(RRDR *r, BUFFER *wb, RRDR_OPTIONS options, int datatable) {
+ rrdset_check_rdlock(r->st);
+
+ //info("RRD2JSON(): %s: BEGIN", r->st->id);
+ int row_annotations = 0, dates, dates_with_new = 0;
+ char kq[2] = "", // key quote
+ sq[2] = "", // string quote
+ pre_label[101] = "", // before each label
+ post_label[101] = "", // after each label
+ pre_date[101] = "", // the beginning of line, to the date
+ post_date[101] = "", // closing the date
+ pre_value[101] = "", // before each value
+ post_value[101] = "", // after each value
+ post_line[101] = "", // at the end of each row
+ normal_annotation[201] = "", // default row annotation
+ overflow_annotation[201] = "", // overflow row annotation
+ data_begin[101] = "", // between labels and values
+ finish[101] = ""; // at the end of everything
+
+ if(datatable) {
+ dates = JSON_DATES_JS;
+ if( options & RRDR_OPTION_GOOGLE_JSON ) {
+ kq[0] = '\0';
+ sq[0] = '\'';
+ }
+ else {
+ kq[0] = '"';
+ sq[0] = '"';
+ }
+ row_annotations = 1;
+ snprintfz(pre_date, 100, " {%sc%s:[{%sv%s:%s", kq, kq, kq, kq, sq);
+ snprintfz(post_date, 100, "%s}", sq);
+ snprintfz(pre_label, 100, ",\n {%sid%s:%s%s,%slabel%s:%s", kq, kq, sq, sq, kq, kq, sq);
+ snprintfz(post_label, 100, "%s,%spattern%s:%s%s,%stype%s:%snumber%s}", sq, kq, kq, sq, sq, kq, kq, sq, sq);
+ snprintfz(pre_value, 100, ",{%sv%s:", kq, kq);
+ strcpy(post_value, "}");
+ strcpy(post_line, "]}");
+ snprintfz(data_begin, 100, "\n ],\n %srows%s:\n [\n", kq, kq);
+ strcpy(finish, "\n ]\n}");
+
+ snprintfz(overflow_annotation, 200, ",{%sv%s:%sRESET OR OVERFLOW%s},{%sv%s:%sThe counters have been wrapped.%s}", kq, kq, sq, sq, kq, kq, sq, sq);
+ snprintfz(normal_annotation, 200, ",{%sv%s:null},{%sv%s:null}", kq, kq, kq, kq);
+
+ buffer_sprintf(wb, "{\n %scols%s:\n [\n", kq, kq);
+ buffer_sprintf(wb, " {%sid%s:%s%s,%slabel%s:%stime%s,%spattern%s:%s%s,%stype%s:%sdatetime%s},\n", kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, sq, sq);
+ buffer_sprintf(wb, " {%sid%s:%s%s,%slabel%s:%s%s,%spattern%s:%s%s,%stype%s:%sstring%s,%sp%s:{%srole%s:%sannotation%s}},\n", kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, kq, kq, sq, sq);
+ buffer_sprintf(wb, " {%sid%s:%s%s,%slabel%s:%s%s,%spattern%s:%s%s,%stype%s:%sstring%s,%sp%s:{%srole%s:%sannotationText%s}}", kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, sq, sq, kq, kq, kq, kq, sq, sq);
+
+ // remove the valueobjects flag
+ // google wants its own keys
+ if(options & RRDR_OPTION_OBJECTSROWS)
+ options &= ~RRDR_OPTION_OBJECTSROWS;
+ }
+ else {
+ kq[0] = '"';
+ sq[0] = '"';
+ if(options & RRDR_OPTION_GOOGLE_JSON) {
+ dates = JSON_DATES_JS;
+ dates_with_new = 1;
+ }
+ else {
+ dates = JSON_DATES_TIMESTAMP;
+ dates_with_new = 0;
+ }
+ if( options & RRDR_OPTION_OBJECTSROWS )
+ strcpy(pre_date, " { ");
+ else
+ strcpy(pre_date, " [ ");
+ strcpy(pre_label, ", \"");
+ strcpy(post_label, "\"");
+ strcpy(pre_value, ", ");
+ if( options & RRDR_OPTION_OBJECTSROWS )
+ strcpy(post_line, "}");
+ else
+ strcpy(post_line, "]");
+ snprintfz(data_begin, 100, "],\n %sdata%s:\n [\n", kq, kq);
+ strcpy(finish, "\n ]\n}");
+
+ buffer_sprintf(wb, "{\n %slabels%s: [", kq, kq);
+ buffer_sprintf(wb, "%stime%s", sq, sq);
+ }
+
+ // -------------------------------------------------------------------------
+ // print the JSON header
+
+ long c, i;
+ RRDDIM *rd;
+
+ // print the header lines
+ for(c = 0, i = 0, rd = r->st->dimensions; rd && c < r->d ;c++, rd = rd->next) {
+ if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue;
+ if(unlikely((options & RRDR_OPTION_NONZERO) && !(r->od[c] & RRDR_DIMENSION_NONZERO))) continue;
+
+ buffer_strcat(wb, pre_label);
+ buffer_strcat(wb, rd->name);
+ buffer_strcat(wb, post_label);
+ i++;
+ }
+ if(!i) {
+ buffer_strcat(wb, pre_label);
+ buffer_strcat(wb, "no data");
+ buffer_strcat(wb, post_label);
+ }
+
+ // print the begin of row data
+ buffer_strcat(wb, data_begin);
+
+ // if all dimensions are hidden, print a null
+ if(!i) {
+ buffer_strcat(wb, finish);
+ return;
+ }
+
+ long start = 0, end = rrdr_rows(r), step = 1;
+ if(!(options & RRDR_OPTION_REVERSED)) {
+ start = rrdr_rows(r) - 1;
+ end = -1;
+ step = -1;
+ }
+
+ // for each line in the array
+ calculated_number total = 1;
+ for(i = start; i != end ;i += step) {
+ calculated_number *cn = &r->v[ i * r->d ];
+ RRDR_VALUE_FLAGS *co = &r->o[ i * r->d ];
+
+ time_t now = r->t[i];
+
+ if(dates == JSON_DATES_JS) {
+ // generate the local date time
+ struct tm tmbuf, *tm = localtime_r(&now, &tmbuf);
+ if(!tm) { error("localtime_r() failed."); continue; }
+
+ if(likely(i != start)) buffer_strcat(wb, ",\n");
+ buffer_strcat(wb, pre_date);
+
+ if( options & RRDR_OPTION_OBJECTSROWS )
+ buffer_sprintf(wb, "%stime%s: ", kq, kq);
+
+ if(dates_with_new)
+ buffer_strcat(wb, "new ");
+
+ buffer_jsdate(wb, tm->tm_year + 1900, tm->tm_mon, tm->tm_mday, tm->tm_hour, tm->tm_min, tm->tm_sec);
+
+ buffer_strcat(wb, post_date);
+
+ if(row_annotations) {
+ // google supports one annotation per row
+ int annotation_found = 0;
+ for(c = 0, rd = r->st->dimensions; rd ;c++, rd = rd->next) {
+ if(co[c] & RRDR_VALUE_RESET) {
+ buffer_strcat(wb, overflow_annotation);
+ annotation_found = 1;
+ break;
+ }
+ }
+ if(!annotation_found)
+ buffer_strcat(wb, normal_annotation);
+ }
+ }
+ else {
+ // print the timestamp of the line
+ if(likely(i != start)) buffer_strcat(wb, ",\n");
+ buffer_strcat(wb, pre_date);
+
+ if( options & RRDR_OPTION_OBJECTSROWS )
+ buffer_sprintf(wb, "%stime%s: ", kq, kq);
+
+ buffer_rrd_value(wb, (calculated_number)r->t[i]);
+ // in ms
+ if(options & RRDR_OPTION_MILLISECONDS) buffer_strcat(wb, "000");
+
+ buffer_strcat(wb, post_date);
+ }
+
+ int set_min_max = 0;
+ if(unlikely(options & RRDR_OPTION_PERCENTAGE)) {
+ total = 0;
+ for(c = 0, rd = r->st->dimensions; rd && c < r->d ;c++, rd = rd->next) {
+ calculated_number n = cn[c];
+
+ if(likely((options & RRDR_OPTION_ABSOLUTE) && n < 0))
+ n = -n;
+
+ total += n;
+ }
+ // prevent a division by zero
+ if(total == 0) total = 1;
+ set_min_max = 1;
+ }
+
+ // for each dimension
+ for(c = 0, rd = r->st->dimensions; rd && c < r->d ;c++, rd = rd->next) {
+ if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue;
+ if(unlikely((options & RRDR_OPTION_NONZERO) && !(r->od[c] & RRDR_DIMENSION_NONZERO))) continue;
+
+ calculated_number n = cn[c];
+
+ buffer_strcat(wb, pre_value);
+
+ if( options & RRDR_OPTION_OBJECTSROWS )
+ buffer_sprintf(wb, "%s%s%s: ", kq, rd->name, kq);
+
+ if(co[c] & RRDR_VALUE_EMPTY) {
+ if(options & RRDR_OPTION_NULL2ZERO)
+ buffer_strcat(wb, "0");
+ else
+ buffer_strcat(wb, "null");
+ }
+ else {
+ if(unlikely((options & RRDR_OPTION_ABSOLUTE) && n < 0))
+ n = -n;
+
+ if(unlikely(options & RRDR_OPTION_PERCENTAGE)) {
+ n = n * 100 / total;
+
+ if(unlikely(set_min_max)) {
+ r->min = r->max = n;
+ set_min_max = 0;
+ }
+
+ if(n < r->min) r->min = n;
+ if(n > r->max) r->max = n;
+ }
+
+ buffer_rrd_value(wb, n);
+ }
+
+ buffer_strcat(wb, post_value);
+ }
+
+ buffer_strcat(wb, post_line);
+ }
+
+ buffer_strcat(wb, finish);
+ //info("RRD2JSON(): %s: END", r->st->id);
+}
+
+void rrdr2csv(RRDR *r, BUFFER *wb, RRDR_OPTIONS options, const char *startline, const char *separator, const char *endline, const char *betweenlines) {
+ rrdset_check_rdlock(r->st);
+
+ //info("RRD2CSV(): %s: BEGIN", r->st->id);
+ long c, i;
+ RRDDIM *d;
+
+ // print the csv header
+ for(c = 0, i = 0, d = r->st->dimensions; d && c < r->d ;c++, d = d->next) {
+ if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue;
+ if(unlikely((options & RRDR_OPTION_NONZERO) && !(r->od[c] & RRDR_DIMENSION_NONZERO))) continue;
+
+ if(!i) {
+ buffer_strcat(wb, startline);
+ if(options & RRDR_OPTION_LABEL_QUOTES) buffer_strcat(wb, "\"");
+ buffer_strcat(wb, "time");
+ if(options & RRDR_OPTION_LABEL_QUOTES) buffer_strcat(wb, "\"");
+ }
+ buffer_strcat(wb, separator);
+ if(options & RRDR_OPTION_LABEL_QUOTES) buffer_strcat(wb, "\"");
+ buffer_strcat(wb, d->name);
+ if(options & RRDR_OPTION_LABEL_QUOTES) buffer_strcat(wb, "\"");
+ i++;
+ }
+ buffer_strcat(wb, endline);
+
+ if(!i) {
+ // no dimensions present
+ return;
+ }
+
+ long start = 0, end = rrdr_rows(r), step = 1;
+ if(!(options & RRDR_OPTION_REVERSED)) {
+ start = rrdr_rows(r) - 1;
+ end = -1;
+ step = -1;
+ }
+
+ // for each line in the array
+ calculated_number total = 1;
+ for(i = start; i != end ;i += step) {
+ calculated_number *cn = &r->v[ i * r->d ];
+ RRDR_VALUE_FLAGS *co = &r->o[ i * r->d ];
+
+ buffer_strcat(wb, betweenlines);
+ buffer_strcat(wb, startline);
+
+ time_t now = r->t[i];
+
+ if((options & RRDR_OPTION_SECONDS) || (options & RRDR_OPTION_MILLISECONDS)) {
+ // print the timestamp of the line
+ buffer_rrd_value(wb, (calculated_number)now);
+ // in ms
+ if(options & RRDR_OPTION_MILLISECONDS) buffer_strcat(wb, "000");
+ }
+ else {
+ // generate the local date time
+ struct tm tmbuf, *tm = localtime_r(&now, &tmbuf);
+ if(!tm) { error("localtime() failed."); continue; }
+ buffer_date(wb, tm->tm_year + 1900, tm->tm_mon + 1, tm->tm_mday, tm->tm_hour, tm->tm_min, tm->tm_sec);
+ }
+
+ int set_min_max = 0;
+ if(unlikely(options & RRDR_OPTION_PERCENTAGE)) {
+ total = 0;
+ for(c = 0, d = r->st->dimensions; d && c < r->d ;c++, d = d->next) {
+ calculated_number n = cn[c];
+
+ if(likely((options & RRDR_OPTION_ABSOLUTE) && n < 0))
+ n = -n;
+
+ total += n;
+ }
+ // prevent a division by zero
+ if(total == 0) total = 1;
+ set_min_max = 1;
+ }
+
+ // for each dimension
+ for(c = 0, d = r->st->dimensions; d && c < r->d ;c++, d = d->next) {
+ if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue;
+ if(unlikely((options & RRDR_OPTION_NONZERO) && !(r->od[c] & RRDR_DIMENSION_NONZERO))) continue;
+
+ buffer_strcat(wb, separator);
+
+ calculated_number n = cn[c];
+
+ if(co[c] & RRDR_VALUE_EMPTY) {
+ if(options & RRDR_OPTION_NULL2ZERO)
+ buffer_strcat(wb, "0");
+ else
+ buffer_strcat(wb, "null");
+ }
+ else {
+ if(unlikely((options & RRDR_OPTION_ABSOLUTE) && n < 0))
+ n = -n;
+
+ if(unlikely(options & RRDR_OPTION_PERCENTAGE)) {
+ n = n * 100 / total;
+
+ if(unlikely(set_min_max)) {
+ r->min = r->max = n;
+ set_min_max = 0;
+ }
+
+ if(n < r->min) r->min = n;
+ if(n > r->max) r->max = n;
+ }
+
+ buffer_rrd_value(wb, n);
+ }
+ }
+
+ buffer_strcat(wb, endline);
+ }
+ //info("RRD2CSV(): %s: END", r->st->id);
+}
+
+inline calculated_number rrdr2value(RRDR *r, long i, RRDR_OPTIONS options, int *all_values_are_null) {
+ rrdset_check_rdlock(r->st);
+
+ long c;
+ RRDDIM *d;
+
+ calculated_number *cn = &r->v[ i * r->d ];
+ RRDR_VALUE_FLAGS *co = &r->o[ i * r->d ];
+
+ calculated_number sum = 0, min = 0, max = 0, v;
+ int all_null = 1, init = 1;
+
+ calculated_number total = 1;
+ int set_min_max = 0;
+ if(unlikely(options & RRDR_OPTION_PERCENTAGE)) {
+ total = 0;
+ for(c = 0, d = r->st->dimensions; d && c < r->d ;c++, d = d->next) {
+ calculated_number n = cn[c];
+
+ if(likely((options & RRDR_OPTION_ABSOLUTE) && n < 0))
+ n = -n;
+
+ total += n;
+ }
+ // prevent a division by zero
+ if(total == 0) total = 1;
+ set_min_max = 1;
+ }
+
+ // for each dimension
+ for(c = 0, d = r->st->dimensions; d && c < r->d ;c++, d = d->next) {
+ if(unlikely(r->od[c] & RRDR_DIMENSION_HIDDEN)) continue;
+ if(unlikely((options & RRDR_OPTION_NONZERO) && !(r->od[c] & RRDR_DIMENSION_NONZERO))) continue;
+
+ calculated_number n = cn[c];
+
+ if(likely((options & RRDR_OPTION_ABSOLUTE) && n < 0))
+ n = -n;
+
+ if(unlikely(options & RRDR_OPTION_PERCENTAGE)) {
+ n = n * 100 / total;
+
+ if(unlikely(set_min_max)) {
+ r->min = r->max = n;
+ set_min_max = 0;
+ }
+
+ if(n < r->min) r->min = n;
+ if(n > r->max) r->max = n;
+ }
+
+ if(unlikely(init)) {
+ if(n > 0) {
+ min = 0;
+ max = n;
+ }
+ else {
+ min = n;
+ max = 0;
+ }
+ init = 0;
+ }
+
+ if(likely(!(co[c] & RRDR_VALUE_EMPTY))) {
+ all_null = 0;
+ sum += n;
+ }
+
+ if(n < min) min = n;
+ if(n > max) max = n;
+ }
+
+ if(unlikely(all_null)) {
+ if(likely(all_values_are_null))
+ *all_values_are_null = 1;
+ return 0;
+ }
+ else {
+ if(likely(all_values_are_null))
+ *all_values_are_null = 0;
+ }
+
+ if(options & RRDR_OPTION_MIN2MAX)
+ v = max - min;
+ else
+ v = sum;
+
+ return v;
+}
+
+void rrdr2ssv(RRDR *r, BUFFER *wb, RRDR_OPTIONS options, const char *prefix, const char *separator, const char *suffix) {
+ //info("RRD2SSV(): %s: BEGIN", r->st->id);
+ long i;
+
+ buffer_strcat(wb, prefix);
+ long start = 0, end = rrdr_rows(r), step = 1;
+ if(!(options & RRDR_OPTION_REVERSED)) {
+ start = rrdr_rows(r) - 1;
+ end = -1;
+ step = -1;
+ }
+
+ // for each line in the array
+ for(i = start; i != end ;i += step) {
+ int all_values_are_null = 0;
+ calculated_number v = rrdr2value(r, i, options, &all_values_are_null);
+
+ if(likely(i != start)) {
+ if(r->min > v) r->min = v;
+ if(r->max < v) r->max = v;
+ }
+ else {
+ r->min = v;
+ r->max = v;
+ }
+
+ if(likely(i != start))
+ buffer_strcat(wb, separator);
+
+ if(all_values_are_null) {
+ if(options & RRDR_OPTION_NULL2ZERO)
+ buffer_strcat(wb, "0");
+ else
+ buffer_strcat(wb, "null");
+ }
+ else
+ buffer_rrd_value(wb, v);
+ }
+ buffer_strcat(wb, suffix);
+ //info("RRD2SSV(): %s: END", r->st->id);
+}
+
+inline static void rrdr_lock_rrdset(RRDR *r) {
+ if(unlikely(!r)) {
+ error("NULL value given!");
+ return;
+ }
+
+ rrdset_rdlock(r->st);
+ r->has_st_lock = 1;
+}
+
+inline static void rrdr_unlock_rrdset(RRDR *r) {
+ if(unlikely(!r)) {
+ error("NULL value given!");
+ return;
+ }
+
+ if(likely(r->has_st_lock)) {
+ rrdset_unlock(r->st);
+ r->has_st_lock = 0;
+ }
+}
+
+inline void rrdr_free(RRDR *r)
+{
+ if(unlikely(!r)) {
+ error("NULL value given!");
+ return;
+ }
+
+ rrdr_unlock_rrdset(r);
+ freez(r->t);
+ freez(r->v);
+ freez(r->o);
+ freez(r->od);
+ freez(r);
+}
+
+RRDR *rrdr_create(RRDSET *st, long n)
+{
+ if(unlikely(!st)) {
+ error("NULL value given!");
+ return NULL;
+ }
+
+ RRDR *r = callocz(1, sizeof(RRDR));
+ r->st = st;
+
+ rrdr_lock_rrdset(r);
+
+ RRDDIM *rd;
+ rrddim_foreach_read(rd, st) r->d++;
+
+ r->n = n;
+
+ r->t = callocz((size_t)n, sizeof(time_t));
+ r->v = mallocz(n * r->d * sizeof(calculated_number));
+ r->o = mallocz(n * r->d * sizeof(RRDR_VALUE_FLAGS));
+ r->od = mallocz(r->d * sizeof(RRDR_DIMENSION_FLAGS));
+
+ // set the hidden flag on hidden dimensions
+ int c;
+ for(c = 0, rd = st->dimensions ; rd ; c++, rd = rd->next) {
+ if(unlikely(rrddim_flag_check(rd, RRDDIM_FLAG_HIDDEN)))
+ r->od[c] = RRDR_DIMENSION_HIDDEN;
+ else
+ r->od[c] = 0;
+ }
+
+ r->group = 1;
+ r->update_every = 1;
+
+ return r;
+}