func reportCollector(collector collector.Collector) {
log.Warn(fmt.Sprintf("%s collector took too long to run, reporting incident!", collector.Name()))
metric := metric.New("fullerite.collection_time_exceeded")
metric.Value = 1
metric.AddDimension("interval", fmt.Sprintf("%d", collector.Interval()))
collector.Channel() <- metric
}
// Collect produces some random test metrics.
func (t Test) Collect() {
metric := metric.New(t.metricName)
metric.Value = rand.Float64()
metric.AddDimension("testing", "yes")
t.Channel() <- metric
t.log.Debug(metric)
}
// Collect produces some random test metrics.
func (t Test) Collect() {
metric := metric.New(t.metricName)
metric.Value = t.generator()
metric.AddDimension("testing", "yes")
time.Sleep(3 * time.Second)
t.Channel() <- metric
t.log.Debug(metric)
}
func readFromCollector(collector collector.Collector, metrics chan metric.Metric) {
for metric := range collector.Channel() {
if _, exists := metric.GetDimensionValue("collector"); !exists {
metric.AddDimension("collector", collector.Name())
}
metrics <- metric
}
}
func (hook *LogErrorHook) reportErrors(entry *logrus.Entry) {
metric := metric.New("fullerite.collector_errors")
metric.Value = 1
if val, exists := entry.Data["collector"]; exists {
metric.AddDimension("collector", val.(string))
}
hook.metricsChannel <- metric
return
}
// Collect Emits the no of CPUs and ModelName
func (c CPUInfo) Collect() {
value, model, err := c.getCPUInfo()
if err != nil {
c.log.Error("Error while collecting metrics: ", err)
return
}
metric := metric.New(c.metricName)
metric.Value = value
metric.AddDimension("model", model)
c.Channel() <- metric
c.log.Debug(metric)
}
func (d *Diamond) parseMetrics(line []byte) ([]metric.Metric, bool) {
var metrics []metric.Metric
if err := json.Unmarshal(line, &metrics); err != nil {
d.log.Error("Cannot unmarshal metric line from diamond:", line)
return metrics, false
}
// All diamond metric_types are reported in uppercase, lets make them
// fullerite compatible
for _, metric := range metrics {
metric.MetricType = strings.ToLower(metric.MetricType)
metric.AddDimension("diamond", "yes")
}
return metrics, true
}
func readFromCollector(collector collector.Collector, handlers []handler.Handler) {
for metric := range collector.Channel() {
var exists bool
c := collector.CanonicalName()
if _, exists = metric.GetDimensionValue("collector"); !exists {
metric.AddDimension("collector", collector.Name())
}
// We allow external collectors to provide us their collector's CanonicalName
// by sending it as a metric dimension. For example in the case of Diamond the
// individual python collectors can send their names this way.
if val, ok := metric.GetDimensionValue("collectorCanonicalName"); ok {
c = val
metric.RemoveDimension("collectorCanonicalName")
}
for i := range handlers {
if _, exists := handlers[i].CollectorChannels()[c]; exists {
handlers[i].CollectorChannels()[c] <- metric
}
}
}
}
func readFromCollector(collector collector.Collector, metrics chan metric.Metric) {
for metric := range collector.Channel() {
metric.AddDimension("collector", collector.Name())
metrics <- metric
}
}
// Collect produces some random test metrics.
func (t Test) Collect() {
metric := metric.New("TestMetric")
metric.Value = rand.Float64()
metric.AddDimension("testing", "yes")
t.Channel() <- metric
}
