Files
core/http/graph/resolver/metrics.resolvers.go
Jan Stabenow eb1cc37456 Add GoSRT & improvements (repo-merge)
Commits (Ingo Oppermann):
- Add experimental SRT connection stats and logs
- Hide /config/reload endpoint in reade-only mode
- Add SRT server
- Create v16 in go.mod
- Fix data races, tests, lint, and update dependencies
- Add trailing slash for routed directories (datarhei/restreamer#340)
- Allow relative URLs in content in static routes

Co-Authored-By: Ingo Oppermann <57445+ioppermann@users.noreply.github.com>
2022-06-23 22:13:58 +02:00

131 lines
2.8 KiB
Go

package resolver
// This file will be automatically regenerated based on the schema, any resolver implementations
// will be copied through when generating and any unknown code will be moved to the end.
import (
"context"
"time"
"github.com/datarhei/core/v16/http/graph/models"
"github.com/datarhei/core/v16/http/graph/scalars"
"github.com/datarhei/core/v16/monitor/metric"
)
func (r *queryResolver) Metrics(ctx context.Context, query models.MetricsInput) (*models.Metrics, error) {
patterns := []metric.Pattern{}
for _, m := range query.Metrics {
labels := []string{}
for k, v := range m.Labels {
switch v.(type) {
case string:
default:
continue
}
labels = append(labels, k, v.(string))
}
pattern := metric.NewPattern(m.Name, labels...)
patterns = append(patterns, pattern)
}
response := &models.Metrics{
Metrics: []*models.Metric{},
}
series := make(map[string]*models.Metric)
var timeframe int64 = 0
var interval int64 = 0
if query.TimerangeSeconds != nil {
timeframe = int64(*query.TimerangeSeconds)
}
if query.IntervalSeconds != nil {
interval = int64(*query.IntervalSeconds)
}
if timeframe == 0 {
// current data
now := time.Now()
data := r.Monitor.Collect(patterns)
for _, v := range data.All() {
hash := v.Hash()
if _, ok := series[hash]; !ok {
series[hash] = &models.Metric{
Name: v.Name(),
Labels: map[string]interface{}{},
Values: []*scalars.MetricsResponseValue{},
}
}
k := series[hash]
for lk, lv := range v.Labels() {
k.Labels[lk] = lv
}
k.Values = append(k.Values, &scalars.MetricsResponseValue{
TS: now,
Value: v.Val(),
})
series[hash] = k
}
} else {
// historic data
data := r.Monitor.History(time.Second*time.Duration(timeframe), time.Second*time.Duration(interval), patterns)
for _, d := range data {
if d.Metrics == nil {
continue
}
for _, v := range d.Metrics.All() {
hash := v.Hash()
if _, ok := series[hash]; !ok {
series[hash] = &models.Metric{
Name: v.Name(),
Labels: map[string]interface{}{},
Values: []*scalars.MetricsResponseValue{},
}
}
k := series[hash]
for lk, lv := range v.Labels() {
k.Labels[lk] = lv
}
k.Values = append(k.Values, &scalars.MetricsResponseValue{
TS: d.TS,
Value: v.Val(),
})
series[hash] = k
}
}
}
for _, metric := range series {
response.Metrics = append(response.Metrics, metric)
}
resolutionTimerange, resolutionInterval := r.Monitor.Resolution()
resolutionTimerangeInt := int(resolutionTimerange.Seconds())
resolutionIntervalInt := int(resolutionInterval.Seconds())
response.TimerangeSeconds = &resolutionTimerangeInt
response.IntervalSeconds = &resolutionIntervalInt
return response, nil
}