func (t *Translator) translateNode(node stats.NodeStats) ([]*v3.TimeSeries, error) {
var timeSeries []*v3.TimeSeries
monitoredLabels := map[string]string{
"project_id": t.project,
"cluster_name": t.cluster,
"zone": t.zone,
"instance_id": t.instanceID,
"namespace_id": "",
"pod_id": "machine",
"container_name": "",
}
tsFactory := newTimeSeriesFactory(monitoredLabels, t.resolution)
// Uptime. This is embedded: there's no nil check.
now := time.Now()
uptimePoint := &v3.Point{
Interval: &v3.TimeInterval{
EndTime: now.Format(time.RFC3339),
StartTime: now.Add(-1 * t.resolution).Format(time.RFC3339),
},
Value: &v3.TypedValue{
DoubleValue: monitor.Float64Ptr(float64(time.Since(node.StartTime.Time).Seconds())),
},
}
timeSeries = append(timeSeries, tsFactory.newTimeSeries(noLabels, uptimeMD, uptimePoint))
// Memory stats.
memTS, err := translateMemory(node.Memory, tsFactory)
if err != nil {
return nil, err
}
timeSeries = append(timeSeries, memTS...)
// File-system stats.
fsTS, err := translateFS("/", node.Fs, tsFactory)
if err != nil {
return nil, err
}
timeSeries = append(timeSeries, fsTS...)
// CPU stats.
cpuTS, err := translateCPU(node.CPU, tsFactory)
if err != nil {
return nil, err
}
timeSeries = append(timeSeries, cpuTS...)
return timeSeries, nil
}
// translateCPU creates all the TimeSeries for a give CPUStat.
func translateCPU(cpu *stats.CPUStats, tsFactory *timeSeriesFactory) ([]*v3.TimeSeries, error) {
var timeSeries []*v3.TimeSeries
// First check that all required information is present.
if cpu == nil {
return nil, fmt.Errorf("CPU information missing.")
}
if cpu.UsageNanoCores == nil {
return nil, fmt.Errorf("UsageNanoCores missing from CPUStats %v", cpu)
}
if cpu.UsageCoreNanoSeconds == nil {
return nil, fmt.Errorf("UsageCoreNanoSeconds missing from CPUStats %v", cpu)
}
// Total CPU utilization for all time. Convert from nanosec to sec.
cpuTotalPoint := tsFactory.newPoint(&v3.TypedValue{
DoubleValue: monitor.Float64Ptr(float64(*cpu.UsageCoreNanoSeconds) / float64(1000*1000*1000)),
ForceSendFields: []string{"DoubleValue"},
}, cpu.Time.Time, usageTimeMD.MetricKind)
timeSeries = append(timeSeries, tsFactory.newTimeSeries(noLabels, usageTimeMD, cpuTotalPoint))
return timeSeries, nil
}
func (t *Translator) translateContainers(pods []stats.PodStats) ([]*v3.TimeSeries, error) {
var timeSeries []*v3.TimeSeries
metricsSeen := make(map[string]time.Time)
metrics := make(map[string][]*v3.TimeSeries)
for _, pod := range pods {
namespace := pod.PodRef.Namespace
podID := pod.PodRef.Name
// There can be duplicate data points for containers, so only
// take the latest one.
for _, container := range pod.Containers {
containerName := container.Name
// Check for duplicates
if container.StartTime.Time.Before(metricsSeen[containerName]) || container.StartTime.Time.Equal(metricsSeen[containerName]) {
continue
}
metricsSeen[containerName] = container.StartTime.Time
var containerSeries []*v3.TimeSeries
monitoredLabels := map[string]string{
"project_id": t.project,
"cluster_name": t.cluster,
"zone": t.zone,
"instance_id": t.instanceID,
"namespace_id": namespace,
"pod_id": podID,
"container_name": containerName,
}
tsFactory := newTimeSeriesFactory(monitoredLabels, t.resolution)
// Uptime. This is embedded: there's no nil check.
now := time.Now()
uptimePoint := &v3.Point{
Interval: &v3.TimeInterval{
EndTime: now.Format(time.RFC3339),
StartTime: container.StartTime.Time.Format(time.RFC3339),
},
Value: &v3.TypedValue{
DoubleValue: monitor.Float64Ptr(float64(time.Since(container.StartTime.Time).Seconds())),
ForceSendFields: []string{"DoubleValue"},
},
}
containerSeries = append(containerSeries, tsFactory.newTimeSeries(noLabels, uptimeMD, uptimePoint))
// Memory stats.
memTS, err := translateMemory(container.Memory, tsFactory)
if err != nil {
return nil, err
}
containerSeries = append(containerSeries, memTS...)
// File-system stats.
rootfsTS, err := translateFS("/", container.Rootfs, tsFactory)
if err != nil {
return nil, err
}
containerSeries = append(containerSeries, rootfsTS...)
logfsTS, err := translateFS("logs", container.Logs, tsFactory)
if err != nil {
return nil, err
}
containerSeries = append(containerSeries, logfsTS...)
// CPU stats.
cpuTS, err := translateCPU(container.CPU, tsFactory)
if err != nil {
return nil, err
}
containerSeries = append(containerSeries, cpuTS...)
metrics[containerName] = containerSeries
}
}
// Flatten the deduplicated metrics.
for _, containerSeries := range metrics {
timeSeries = append(timeSeries, containerSeries...)
}
return timeSeries, nil
}
