我有一个 go 应用程序,它按批次定期运行。每次运行,它都应该从文件中读取一些普罗米修斯指标,运行其逻辑,更新成功/失败计数器,并将指标写回文件。
通过查看 How to parse Prometheus data 和 godocs for prometheus,我能够读入文件,但我不知道如何使用返回的值更新 app_processed_total
expfmt.ExtractSamples()
。
这是我迄今为止所做的。有人可以告诉我我应该如何从这里开始?如何将我输入的 Vector 类型转换为 CounterVec
?
package main
import (
"fmt"
"net/http"
"strings"
"time"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
dto "github.com/prometheus/client_model/go"
"github.com/prometheus/common/expfmt"
"github.com/prometheus/common/model"
)
var (
fileOnDisk = prometheus.NewRegistry()
processedTotal = prometheus.NewCounterVec(prometheus.CounterOpts{
Name: "app_processed_total",
Help: "Number of times ran",
}, []string{"status"})
)
func doInit() {
prometheus.MustRegister(processedTotal)
}
func recordMetrics() {
go func() {
for {
processedTotal.With(prometheus.Labels{"status": "ok"}).Inc()
time.Sleep(5 * time.Second)
}
}()
}
func readExistingMetrics() {
var parser expfmt.TextParser
text := `
# HELP app_processed_total Number of times ran
# TYPE app_processed_total counter
app_processed_total{status="ok"} 300
`
parseText := func() ([]*dto.MetricFamily, error) {
parsed, err := parser.TextToMetricFamilies(strings.NewReader(text))
if err != nil {
return nil, err
}
var result []*dto.MetricFamily
for _, mf := range parsed {
result = append(result, mf)
}
return result, nil
}
gatherers := prometheus.Gatherers{
fileOnDisk,
prometheus.GathererFunc(parseText),
}
gathering, err := gatherers.Gather()
if err != nil {
fmt.Println(err)
}
fmt.Println("gathering: ", gathering)
for _, g := range gathering {
vector, err := expfmt.ExtractSamples(&expfmt.DecodeOptions{
Timestamp: model.Now(),
}, g)
fmt.Println("vector: ", vector)
if err != nil {
fmt.Println(err)
}
// How can I update processedTotal with this new value?
}
}
func main() {
doInit()
readExistingMetrics()
recordMetrics()
http.Handle("/metrics", promhttp.Handler())
http.ListenAndServe("localhost:2112", nil)
}
答案 0 :(得分:0)
我相信您需要使用 processedTotal.WithLabelValues("ok").Inc()
或类似的东西。
更完整的例子在这里
func ExampleCounterVec() {
httpReqs := prometheus.NewCounterVec(
prometheus.CounterOpts{
Name: "http_requests_total",
Help: "How many HTTP requests processed, partitioned by status code and HTTP method.",
},
[]string{"code", "method"},
)
prometheus.MustRegister(httpReqs)
httpReqs.WithLabelValues("404", "POST").Add(42)
// If you have to access the same set of labels very frequently, it
// might be good to retrieve the metric only once and keep a handle to
// it. But beware of deletion of that metric, see below!
m := httpReqs.WithLabelValues("200", "GET")
for i := 0; i < 1000000; i++ {
m.Inc()
}
// Delete a metric from the vector. If you have previously kept a handle
// to that metric (as above), future updates via that handle will go
// unseen (even if you re-create a metric with the same label set
// later).
httpReqs.DeleteLabelValues("200", "GET")
// Same thing with the more verbose Labels syntax.
httpReqs.Delete(prometheus.Labels{"method": "GET", "code": "200"})
}
本文来自 Github 上的 Promethus examples
要使用向量的值,您可以执行以下操作:
vectorFloat, err := strconv.ParseFloat(vector[0].Value.String(), 64)
if err != nil {
panic(err)
}
processedTotal.WithLabelValues("ok").Add(vectorFloat)
这是假设您在响应中只会得到一个向量值。向量的值存储为字符串,但您可以使用 strconv.ParseFloat
方法将其转换为浮点数。