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netdata_netdata/web/api/formatters/json/json.c
Costa Tsaousis c3dfbe52a6
netdata doubles () 
* netdata doubles

* fix cmocka test

* fix cmocka test again

* fix left-overs of long double to NETDATA_DOUBLE

* RRDDIM detached from disk representation; db settings in [db] section of netdata.conf

* update the memory before saving

* rrdset is now detached from file structures too

* on memory mode map, update the memory mapped structures on every iteration

* allow RRD_ID_LENGTH_MAX to be changed

* granularity secs, back to update every

* fix formatting

* more formatting
2022-06-28 17:04:37 +03:00

291 lines
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// SPDX-License-Identifier: GPL-3.0-or-later
#include "json.h"
#define JSON_DATES_JS 1
#define JSON_DATES_TIMESTAMP 2
void rrdr2json(RRDR *r, BUFFER *wb, RRDR_OPTIONS options, int datatable, struct context_param *context_param_list)
{
RRDDIM *temp_rd = context_param_list ? context_param_list->rd : NULL;
int should_lock = (!context_param_list || !(context_param_list->flags & CONTEXT_FLAGS_ARCHIVE));
if (should_lock)
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
object_rows_time[101] = "";
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);
if( options & RRDR_OPTION_OBJECTSROWS )
snprintfz(object_rows_time, 100, "%stime%s: ", kq, kq);
}
size_t pre_value_len = strlen(pre_value);
size_t post_value_len = strlen(post_value);
size_t pre_label_len = strlen(pre_label);
size_t post_label_len = strlen(post_label);
size_t pre_date_len = strlen(pre_date);
size_t post_date_len = strlen(post_date);
size_t post_line_len = strlen(post_line);
size_t normal_annotation_len = strlen(normal_annotation);
size_t overflow_annotation_len = strlen(overflow_annotation);
size_t object_rows_time_len = strlen(object_rows_time);
// -------------------------------------------------------------------------
// print the JSON header
long c, i;
RRDDIM *rd;
// print the header lines
for(c = 0, i = 0, rd = temp_rd?temp_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_fast_strcat(wb, pre_label, pre_label_len);
buffer_strcat(wb, rd->name);
// buffer_strcat(wb, ".");
// buffer_strcat(wb, rd->rrdset->name);
buffer_fast_strcat(wb, post_label, post_label_len);
i++;
}
if(!i) {
buffer_fast_strcat(wb, pre_label, pre_label_len);
buffer_fast_strcat(wb, "no data", 7);
buffer_fast_strcat(wb, post_label, post_label_len);
}
size_t total_number_of_dimensions = i;
// 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;
}
// pre-allocate a large enough buffer for us
// this does not need to be accurate - it is just a hint to avoid multiple realloc().
buffer_need_bytes(wb,
( 20 * rrdr_rows(r)) // timestamp + json overhead
+ ( (pre_value_len + post_value_len + 4) * total_number_of_dimensions * rrdr_rows(r) ) // number
);
// for each line in the array
NETDATA_DOUBLE total = 1;
for(i = start; i != end ;i += step) {
NETDATA_DOUBLE *cn = &r->v[ i * r->d ];
RRDR_VALUE_FLAGS *co = &r->o[ i * r->d ];
uint8_t *ar = &r->ar[ 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_fast_strcat(wb, ",\n", 2);
buffer_fast_strcat(wb, pre_date, pre_date_len);
if( options & RRDR_OPTION_OBJECTSROWS )
buffer_fast_strcat(wb, object_rows_time, object_rows_time_len);
if(unlikely(dates_with_new))
buffer_fast_strcat(wb, "new ", 4);
buffer_jsdate(wb, tm->tm_year + 1900, tm->tm_mon, tm->tm_mday, tm->tm_hour, tm->tm_min, tm->tm_sec);
buffer_fast_strcat(wb, post_date, post_date_len);
if(unlikely(row_annotations)) {
// google supports one annotation per row
int annotation_found = 0;
for(c = 0, rd = temp_rd?temp_rd:r->st->dimensions; rd ;c++, rd = rd->next) {
if(unlikely(!(r->od[c] & RRDR_DIMENSION_SELECTED))) continue;
if(unlikely(co[c] & RRDR_VALUE_RESET)) {
buffer_fast_strcat(wb, overflow_annotation, overflow_annotation_len);
annotation_found = 1;
break;
}
}
if(likely(!annotation_found))
buffer_fast_strcat(wb, normal_annotation, normal_annotation_len);
}
}
else {
// print the timestamp of the line
if(likely(i != start))
buffer_fast_strcat(wb, ",\n", 2);
buffer_fast_strcat(wb, pre_date, pre_date_len);
if(unlikely( options & RRDR_OPTION_OBJECTSROWS ))
buffer_fast_strcat(wb, object_rows_time, object_rows_time_len);
buffer_rrd_value(wb, (NETDATA_DOUBLE)r->t[i]);
// in ms
if(unlikely(options & RRDR_OPTION_MILLISECONDS))
buffer_fast_strcat(wb, "000", 3);
buffer_fast_strcat(wb, post_date, post_date_len);
}
int set_min_max = 0;
if(unlikely(options & RRDR_OPTION_PERCENTAGE)) {
total = 0;
for(c = 0, rd = temp_rd?temp_rd:r->st->dimensions; rd && c < r->d ;c++, rd = rd->next) {
NETDATA_DOUBLE n;
if(unlikely(options & RRDR_OPTION_INTERNAL_AR))
n = (NETDATA_DOUBLE)ar[c] / 2.0; // rrdr stores anomaly rates 0 - 200
else
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 = temp_rd?temp_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;
NETDATA_DOUBLE n;
if(unlikely(options & RRDR_OPTION_INTERNAL_AR))
n = (NETDATA_DOUBLE)ar[c] / 2.0; // rrdr stores anomaly rates 0 - 200
else
n = cn[c];
buffer_fast_strcat(wb, pre_value, pre_value_len);
if(unlikely( options & RRDR_OPTION_OBJECTSROWS ))
buffer_sprintf(wb, "%s%s%s: ", kq, rd->name, kq);
if(co[c] & RRDR_VALUE_EMPTY && !(options & RRDR_OPTION_INTERNAL_AR)) {
if(unlikely(options & RRDR_OPTION_NULL2ZERO))
buffer_fast_strcat(wb, "0", 1);
else
buffer_fast_strcat(wb, "null", 4);
}
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_fast_strcat(wb, post_value, post_value_len);
}
buffer_fast_strcat(wb, post_line, post_line_len);
}
buffer_strcat(wb, finish);
//info("RRD2JSON(): %s: END", r->st->id);
}
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