When the threshold isn't unknown add a value to the json like:
"metric-threshold" : "good"
A more complete example:
```
$ perf stat -a -j -I 1000
{"interval" : 1.
001089747, "counter-value" : "16045.281449", "unit" : "msec", "event" : "cpu-clock", "event-runtime" :
16045355135, "pcnt-running" : 100.00, "metric-value" : "16.045281", "metric-unit" : "CPUs utilized"}
{"interval" : 1.
001089747, "counter-value" : "10003.000000", "unit" : "", "event" : "context-switches", "event-runtime" :
16045314844, "pcnt-running" : 100.00, "metric-value" : "623.423156", "metric-unit" : "/sec"}
{"interval" : 1.
001089747, "counter-value" : "328.000000", "unit" : "", "event" : "cpu-migrations", "event-runtime" :
16045321403, "pcnt-running" : 100.00, "metric-value" : "20.442147", "metric-unit" : "/sec"}
{"interval" : 1.
001089747, "counter-value" : "20114.000000", "unit" : "", "event" : "page-faults", "event-runtime" :
16045355927, "pcnt-running" : 100.00, "metric-value" : "1.253577", "metric-unit" : "K/sec"}
{"interval" : 1.
001089747, "counter-value" : "
4066679471.000000", "unit" : "", "event" : "instructions", "event-runtime" :
16045369123, "pcnt-running" : 100.00, "metric-value" : "1.628330", "metric-unit" : "insn per cycle"}
{"interval" : 1.
001089747, "counter-value" : "
2497454658.000000", "unit" : "", "event" : "cycles", "event-runtime" :
16045374810, "pcnt-running" : 100.00, "metric-value" : "0.155650", "metric-unit" : "GHz"}
{"interval" : 1.
001089747, "counter-value" : "
914974294.000000", "unit" : "", "event" : "branches", "event-runtime" :
16045379877, "pcnt-running" : 100.00, "metric-value" : "57.024509", "metric-unit" : "M/sec"}
{"interval" : 1.
001089747, "counter-value" : "
9237201.000000", "unit" : "", "event" : "branch-misses", "event-runtime" :
16045375017, "pcnt-running" : 100.00, "metric-value" : "1.009559", "metric-unit" : "of all branches", "metric-threshold" : "good"}
{"interval" : 1.
001089747, "event-runtime" :
16045397172, "pcnt-running" : 100.00, "metricgroup" : "TopdownL1"}
{"interval" : 1.
001089747, "metric-value" : "22.036686", "metric-unit" : "% tma_backend_bound", "metric-threshold" : "bad"}
{"interval" : 1.
001089747, "metric-value" : "7.610161", "metric-unit" : "% tma_bad_speculation", "metric-threshold" : "good"}
{"interval" : 1.
001089747, "metric-value" : "36.729687", "metric-unit" : "% tma_frontend_bound", "metric-threshold" : "bad"}
{"interval" : 1.
001089747, "metric-value" : "33.623465", "metric-unit" : "% tma_retiring"}
...
```
Signed-off-by: Ian Rogers <irogers@google.com>
Cc: Yicong Yang <yangyicong@hisilicon.com>
Cc: Weilin Wang <weilin.wang@intel.com>
Cc: Will Deacon <will@kernel.org>
Cc: James Clark <james.clark@linaro.org>
Cc: Mike Leach <mike.leach@linaro.org>
Cc: Leo Yan <leo.yan@linux.dev>
Cc: Sumanth Korikkar <sumanthk@linux.ibm.com>
Cc: Thomas Richter <tmricht@linux.ibm.com>
Cc: Tim Chen <tim.c.chen@linux.intel.com>
Cc: John Garry <john.g.garry@oracle.com>
Link: https://lore.kernel.org/r/20241017175356.783793-7-irogers@google.com
Signed-off-by: Namhyung Kim <namhyung@kernel.org>
'interval': lambda x: isfloat(x),
'metric-unit': lambda x: True,
'metric-value': lambda x: isfloat(x),
+ 'metric-threshold': lambda x: x in ['unknown', 'good', 'less good', 'nearly bad', 'bad'],
'metricgroup': lambda x: True,
'node': lambda x: True,
'pcnt-running': lambda x: isfloat(x),
for item in json.loads(input):
if expected_items != -1:
count = len(item)
- if count != expected_items and count >= 1 and count <= 6 and 'metric-value' in item:
+ if count != expected_items and count >= 1 and count <= 7 and 'metric-value' in item:
# Events that generate >1 metric may have isolated metric
# values and possibly other prefixes like interval, core,
# aggregate-number, or event-runtime/pcnt-running from multiplexing.
pass
elif count != expected_items and count >= 1 and count <= 5 and 'metricgroup' in item:
pass
+ elif count == expected_items + 1 and 'metric-threshold' in item:
+ pass
elif count != expected_items:
raise RuntimeError(f'wrong number of fields. counted {count} expected {expected_items}'
f' in \'{item}\'')
return colors[thresh];
}
+static const char *metric_threshold_classify__str(enum metric_threshold_classify thresh)
+{
+ const char * const strs[] = {
+ "unknown",
+ "bad",
+ "nearly bad",
+ "less good",
+ "good",
+ };
+ static_assert(ARRAY_SIZE(strs) - 1 == METRIC_THRESHOLD_GOOD, "missing enum value");
+ return strs[thresh];
+}
+
static void print_running_std(struct perf_stat_config *config, u64 run, u64 ena)
{
if (run != ena)
static void print_metric_json(struct perf_stat_config *config __maybe_unused,
void *ctx,
- enum metric_threshold_classify thresh __maybe_unused,
+ enum metric_threshold_classify thresh,
const char *fmt __maybe_unused,
const char *unit, double val)
{
struct outstate *os = ctx;
FILE *out = os->fh;
- if (unit)
+ if (unit) {
fprintf(out, "\"metric-value\" : \"%f\", \"metric-unit\" : \"%s\"", val, unit);
+ if (thresh != METRIC_THRESHOLD_UNKNOWN) {
+ fprintf(out, ", \"metric-threshold\" : \"%s\"",
+ metric_threshold_classify__str(thresh));
+ }
+ }
if (!config->metric_only)
fprintf(out, "}");
}