// Copyright 2019 The Go Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. package debug import ( "bytes" "fmt" "net/http" "sort" "golang.org/x/tools/internal/telemetry/metric" "golang.org/x/tools/internal/telemetry/tag" "golang.org/x/tools/internal/telemetry/worker" ) type prometheus struct { metrics []metric.Data } func (p *prometheus) observeMetric(data metric.Data) { name := data.Handle().Name() index := sort.Search(len(p.metrics), func(i int) bool { return p.metrics[i].Handle().Name() >= name }) if index >= len(p.metrics) || p.metrics[index].Handle().Name() != name { old := p.metrics p.metrics = make([]metric.Data, len(old)+1) copy(p.metrics, old[:index]) copy(p.metrics[index+1:], old[index:]) } p.metrics[index] = data } func (p *prometheus) header(w http.ResponseWriter, name, description string, isGauge, isHistogram bool) { kind := "counter" if isGauge { kind = "gauge" } if isHistogram { kind = "histogram" } fmt.Fprintf(w, "# HELP %s %s\n", name, description) fmt.Fprintf(w, "# TYPE %s %s\n", name, kind) } func (p *prometheus) row(w http.ResponseWriter, name string, group tag.List, extra string, value interface{}) { fmt.Fprint(w, name) buf := &bytes.Buffer{} fmt.Fprint(buf, group) if extra != "" { if buf.Len() > 0 { fmt.Fprint(buf, ",") } fmt.Fprint(buf, extra) } if buf.Len() > 0 { fmt.Fprint(w, "{") buf.WriteTo(w) fmt.Fprint(w, "}") } fmt.Fprintf(w, " %v\n", value) } func (p *prometheus) serve(w http.ResponseWriter, r *http.Request) { done := make(chan struct{}) worker.Do(func() { defer close(done) for _, data := range p.metrics { switch data := data.(type) { case *metric.Int64Data: p.header(w, data.Info.Name, data.Info.Description, data.IsGauge, false) for i, group := range data.Groups() { p.row(w, data.Info.Name, group, "", data.Rows[i]) } case *metric.Float64Data: p.header(w, data.Info.Name, data.Info.Description, data.IsGauge, false) for i, group := range data.Groups() { p.row(w, data.Info.Name, group, "", data.Rows[i]) } case *metric.HistogramInt64Data: p.header(w, data.Info.Name, data.Info.Description, false, true) for i, group := range data.Groups() { row := data.Rows[i] for j, b := range data.Info.Buckets { p.row(w, data.Info.Name+"_bucket", group, fmt.Sprintf(`le="%v"`, b), row.Values[j]) } p.row(w, data.Info.Name+"_bucket", group, `le="+Inf"`, row.Count) p.row(w, data.Info.Name+"_count", group, "", row.Count) p.row(w, data.Info.Name+"_sum", group, "", row.Sum) } case *metric.HistogramFloat64Data: p.header(w, data.Info.Name, data.Info.Description, false, true) for i, group := range data.Groups() { row := data.Rows[i] for j, b := range data.Info.Buckets { p.row(w, data.Info.Name+"_bucket", group, fmt.Sprintf(`le="%v"`, b), row.Values[j]) } p.row(w, data.Info.Name+"_bucket", group, `le="+Inf"`, row.Count) p.row(w, data.Info.Name+"_count", group, "", row.Count) p.row(w, data.Info.Name+"_sum", group, "", row.Sum) } } } }) <-done }