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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-27 11:08:07 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-27 11:08:07 +0000 |
commit | c69cb8cc094cc916adbc516b09e944cd3d137c01 (patch) | |
tree | f2878ec41fb6d0e3613906c6722fc02b934eeb80 /web/api/formatters/csv/csv.c | |
parent | Initial commit. (diff) | |
download | netdata-c69cb8cc094cc916adbc516b09e944cd3d137c01.tar.xz netdata-c69cb8cc094cc916adbc516b09e944cd3d137c01.zip |
Adding upstream version 1.29.3.upstream/1.29.3upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'web/api/formatters/csv/csv.c')
-rw-r--r-- | web/api/formatters/csv/csv.c | 143 |
1 files changed, 143 insertions, 0 deletions
diff --git a/web/api/formatters/csv/csv.c b/web/api/formatters/csv/csv.c new file mode 100644 index 0000000..da0a6b5 --- /dev/null +++ b/web/api/formatters/csv/csv.c @@ -0,0 +1,143 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "libnetdata/libnetdata.h" +#include "csv.h" + +void rrdr2csv(RRDR *r, BUFFER *wb, uint32_t format, RRDR_OPTIONS options, const char *startline, const char *separator, const char *endline, const char *betweenlines, RRDDIM *temp_rd) { + 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 = temp_rd?temp_rd: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(format == DATASOURCE_CSV_MARKDOWN) { + // print the --- line after header + for(c = 0, i = 0, d = temp_rd?temp_rd: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, ":---:"); + 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, ":---:"); + 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 = temp_rd?temp_rd: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 = temp_rd?temp_rd: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); +} |