mirror of
https://github.com/restic/rest-server.git
synced 2025-12-07 09:36:13 -08:00
Help needed: vendor files for Prometheus support
These are the vendor files needed for Prometheus support. I have not been able to figure out how to do this properly with gopkg.
This commit is contained in:
committed by
Zlatko Čalušić
parent
ca0e09261f
commit
4cd82b6802
435
vendor/github.com/prometheus/common/expfmt/decode_test.go
generated
vendored
Normal file
435
vendor/github.com/prometheus/common/expfmt/decode_test.go
generated
vendored
Normal file
@@ -0,0 +1,435 @@
|
||||
// Copyright 2015 The Prometheus Authors
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
package expfmt
|
||||
|
||||
import (
|
||||
"io"
|
||||
"net/http"
|
||||
"reflect"
|
||||
"sort"
|
||||
"strings"
|
||||
"testing"
|
||||
|
||||
"github.com/golang/protobuf/proto"
|
||||
dto "github.com/prometheus/client_model/go"
|
||||
|
||||
"github.com/prometheus/common/model"
|
||||
)
|
||||
|
||||
func TestTextDecoder(t *testing.T) {
|
||||
var (
|
||||
ts = model.Now()
|
||||
in = `
|
||||
# Only a quite simple scenario with two metric families.
|
||||
# More complicated tests of the parser itself can be found in the text package.
|
||||
# TYPE mf2 counter
|
||||
mf2 3
|
||||
mf1{label="value1"} -3.14 123456
|
||||
mf1{label="value2"} 42
|
||||
mf2 4
|
||||
`
|
||||
out = model.Vector{
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "mf1",
|
||||
"label": "value1",
|
||||
},
|
||||
Value: -3.14,
|
||||
Timestamp: 123456,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "mf1",
|
||||
"label": "value2",
|
||||
},
|
||||
Value: 42,
|
||||
Timestamp: ts,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "mf2",
|
||||
},
|
||||
Value: 3,
|
||||
Timestamp: ts,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "mf2",
|
||||
},
|
||||
Value: 4,
|
||||
Timestamp: ts,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
dec := &SampleDecoder{
|
||||
Dec: &textDecoder{r: strings.NewReader(in)},
|
||||
Opts: &DecodeOptions{
|
||||
Timestamp: ts,
|
||||
},
|
||||
}
|
||||
var all model.Vector
|
||||
for {
|
||||
var smpls model.Vector
|
||||
err := dec.Decode(&smpls)
|
||||
if err == io.EOF {
|
||||
break
|
||||
}
|
||||
if err != nil {
|
||||
t.Fatal(err)
|
||||
}
|
||||
all = append(all, smpls...)
|
||||
}
|
||||
sort.Sort(all)
|
||||
sort.Sort(out)
|
||||
if !reflect.DeepEqual(all, out) {
|
||||
t.Fatalf("output does not match")
|
||||
}
|
||||
}
|
||||
|
||||
func TestProtoDecoder(t *testing.T) {
|
||||
|
||||
var testTime = model.Now()
|
||||
|
||||
scenarios := []struct {
|
||||
in string
|
||||
expected model.Vector
|
||||
fail bool
|
||||
}{
|
||||
{
|
||||
in: "",
|
||||
},
|
||||
{
|
||||
in: "\x8f\x01\n\rrequest_count\x12\x12Number of requests\x18\x00\"0\n#\n\x0fsome_!abel_name\x12\x10some_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00E\xc0\"6\n)\n\x12another_label_name\x12\x13another_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00U@",
|
||||
fail: true,
|
||||
},
|
||||
{
|
||||
in: "\x8f\x01\n\rrequest_count\x12\x12Number of requests\x18\x00\"0\n#\n\x0fsome_label_name\x12\x10some_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00E\xc0\"6\n)\n\x12another_label_name\x12\x13another_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00U@",
|
||||
expected: model.Vector{
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count",
|
||||
"some_label_name": "some_label_value",
|
||||
},
|
||||
Value: -42,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count",
|
||||
"another_label_name": "another_label_value",
|
||||
},
|
||||
Value: 84,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
in: "\xb9\x01\n\rrequest_count\x12\x12Number of requests\x18\x02\"O\n#\n\x0fsome_label_name\x12\x10some_label_value\"(\x1a\x12\t\xaeG\xe1z\x14\xae\xef?\x11\x00\x00\x00\x00\x00\x00E\xc0\x1a\x12\t+\x87\x16\xd9\xce\xf7\xef?\x11\x00\x00\x00\x00\x00\x00U\xc0\"A\n)\n\x12another_label_name\x12\x13another_label_value\"\x14\x1a\x12\t\x00\x00\x00\x00\x00\x00\xe0?\x11\x00\x00\x00\x00\x00\x00$@",
|
||||
expected: model.Vector{
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count_count",
|
||||
"some_label_name": "some_label_value",
|
||||
},
|
||||
Value: 0,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count_sum",
|
||||
"some_label_name": "some_label_value",
|
||||
},
|
||||
Value: 0,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count",
|
||||
"some_label_name": "some_label_value",
|
||||
"quantile": "0.99",
|
||||
},
|
||||
Value: -42,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count",
|
||||
"some_label_name": "some_label_value",
|
||||
"quantile": "0.999",
|
||||
},
|
||||
Value: -84,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count_count",
|
||||
"another_label_name": "another_label_value",
|
||||
},
|
||||
Value: 0,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count_sum",
|
||||
"another_label_name": "another_label_value",
|
||||
},
|
||||
Value: 0,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count",
|
||||
"another_label_name": "another_label_value",
|
||||
"quantile": "0.5",
|
||||
},
|
||||
Value: 10,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
in: "\x8d\x01\n\x1drequest_duration_microseconds\x12\x15The response latency.\x18\x04\"S:Q\b\x85\x15\x11\xcd\xcc\xccL\x8f\xcb:A\x1a\v\b{\x11\x00\x00\x00\x00\x00\x00Y@\x1a\f\b\x9c\x03\x11\x00\x00\x00\x00\x00\x00^@\x1a\f\b\xd0\x04\x11\x00\x00\x00\x00\x00\x00b@\x1a\f\b\xf4\v\x11\x9a\x99\x99\x99\x99\x99e@\x1a\f\b\x85\x15\x11\x00\x00\x00\x00\x00\x00\xf0\u007f",
|
||||
expected: model.Vector{
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_duration_microseconds_bucket",
|
||||
"le": "100",
|
||||
},
|
||||
Value: 123,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_duration_microseconds_bucket",
|
||||
"le": "120",
|
||||
},
|
||||
Value: 412,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_duration_microseconds_bucket",
|
||||
"le": "144",
|
||||
},
|
||||
Value: 592,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_duration_microseconds_bucket",
|
||||
"le": "172.8",
|
||||
},
|
||||
Value: 1524,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_duration_microseconds_bucket",
|
||||
"le": "+Inf",
|
||||
},
|
||||
Value: 2693,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_duration_microseconds_sum",
|
||||
},
|
||||
Value: 1756047.3,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_duration_microseconds_count",
|
||||
},
|
||||
Value: 2693,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
// The metric type is unset in this protobuf, which needs to be handled
|
||||
// correctly by the decoder.
|
||||
in: "\x1c\n\rrequest_count\"\v\x1a\t\t\x00\x00\x00\x00\x00\x00\xf0?",
|
||||
expected: model.Vector{
|
||||
&model.Sample{
|
||||
Metric: model.Metric{
|
||||
model.MetricNameLabel: "request_count",
|
||||
},
|
||||
Value: 1,
|
||||
Timestamp: testTime,
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
for i, scenario := range scenarios {
|
||||
dec := &SampleDecoder{
|
||||
Dec: &protoDecoder{r: strings.NewReader(scenario.in)},
|
||||
Opts: &DecodeOptions{
|
||||
Timestamp: testTime,
|
||||
},
|
||||
}
|
||||
|
||||
var all model.Vector
|
||||
for {
|
||||
var smpls model.Vector
|
||||
err := dec.Decode(&smpls)
|
||||
if err == io.EOF {
|
||||
break
|
||||
}
|
||||
if scenario.fail {
|
||||
if err == nil {
|
||||
t.Fatal("Expected error but got none")
|
||||
}
|
||||
break
|
||||
}
|
||||
if err != nil {
|
||||
t.Fatal(err)
|
||||
}
|
||||
all = append(all, smpls...)
|
||||
}
|
||||
sort.Sort(all)
|
||||
sort.Sort(scenario.expected)
|
||||
if !reflect.DeepEqual(all, scenario.expected) {
|
||||
t.Fatalf("%d. output does not match, want: %#v, got %#v", i, scenario.expected, all)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func testDiscriminatorHTTPHeader(t testing.TB) {
|
||||
var scenarios = []struct {
|
||||
input map[string]string
|
||||
output Format
|
||||
err error
|
||||
}{
|
||||
{
|
||||
input: map[string]string{"Content-Type": `application/vnd.google.protobuf; proto="io.prometheus.client.MetricFamily"; encoding="delimited"`},
|
||||
output: FmtProtoDelim,
|
||||
},
|
||||
{
|
||||
input: map[string]string{"Content-Type": `application/vnd.google.protobuf; proto="illegal"; encoding="delimited"`},
|
||||
output: FmtUnknown,
|
||||
},
|
||||
{
|
||||
input: map[string]string{"Content-Type": `application/vnd.google.protobuf; proto="io.prometheus.client.MetricFamily"; encoding="illegal"`},
|
||||
output: FmtUnknown,
|
||||
},
|
||||
{
|
||||
input: map[string]string{"Content-Type": `text/plain; version=0.0.4`},
|
||||
output: FmtText,
|
||||
},
|
||||
{
|
||||
input: map[string]string{"Content-Type": `text/plain`},
|
||||
output: FmtText,
|
||||
},
|
||||
{
|
||||
input: map[string]string{"Content-Type": `text/plain; version=0.0.3`},
|
||||
output: FmtUnknown,
|
||||
},
|
||||
}
|
||||
|
||||
for i, scenario := range scenarios {
|
||||
var header http.Header
|
||||
|
||||
if len(scenario.input) > 0 {
|
||||
header = http.Header{}
|
||||
}
|
||||
|
||||
for key, value := range scenario.input {
|
||||
header.Add(key, value)
|
||||
}
|
||||
|
||||
actual := ResponseFormat(header)
|
||||
|
||||
if scenario.output != actual {
|
||||
t.Errorf("%d. expected %s, got %s", i, scenario.output, actual)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func TestDiscriminatorHTTPHeader(t *testing.T) {
|
||||
testDiscriminatorHTTPHeader(t)
|
||||
}
|
||||
|
||||
func BenchmarkDiscriminatorHTTPHeader(b *testing.B) {
|
||||
for i := 0; i < b.N; i++ {
|
||||
testDiscriminatorHTTPHeader(b)
|
||||
}
|
||||
}
|
||||
|
||||
func TestExtractSamples(t *testing.T) {
|
||||
var (
|
||||
goodMetricFamily1 = &dto.MetricFamily{
|
||||
Name: proto.String("foo"),
|
||||
Help: proto.String("Help for foo."),
|
||||
Type: dto.MetricType_COUNTER.Enum(),
|
||||
Metric: []*dto.Metric{
|
||||
&dto.Metric{
|
||||
Counter: &dto.Counter{
|
||||
Value: proto.Float64(4711),
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
goodMetricFamily2 = &dto.MetricFamily{
|
||||
Name: proto.String("bar"),
|
||||
Help: proto.String("Help for bar."),
|
||||
Type: dto.MetricType_GAUGE.Enum(),
|
||||
Metric: []*dto.Metric{
|
||||
&dto.Metric{
|
||||
Gauge: &dto.Gauge{
|
||||
Value: proto.Float64(3.14),
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
badMetricFamily = &dto.MetricFamily{
|
||||
Name: proto.String("bad"),
|
||||
Help: proto.String("Help for bad."),
|
||||
Type: dto.MetricType(42).Enum(),
|
||||
Metric: []*dto.Metric{
|
||||
&dto.Metric{
|
||||
Gauge: &dto.Gauge{
|
||||
Value: proto.Float64(2.7),
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
opts = &DecodeOptions{
|
||||
Timestamp: 42,
|
||||
}
|
||||
)
|
||||
|
||||
got, err := ExtractSamples(opts, goodMetricFamily1, goodMetricFamily2)
|
||||
if err != nil {
|
||||
t.Error("Unexpected error from ExtractSamples:", err)
|
||||
}
|
||||
want := model.Vector{
|
||||
&model.Sample{Metric: model.Metric{model.MetricNameLabel: "foo"}, Value: 4711, Timestamp: 42},
|
||||
&model.Sample{Metric: model.Metric{model.MetricNameLabel: "bar"}, Value: 3.14, Timestamp: 42},
|
||||
}
|
||||
if !reflect.DeepEqual(got, want) {
|
||||
t.Errorf("unexpected samples extracted, got: %v, want: %v", got, want)
|
||||
}
|
||||
|
||||
got, err = ExtractSamples(opts, goodMetricFamily1, badMetricFamily, goodMetricFamily2)
|
||||
if err == nil {
|
||||
t.Error("Expected error from ExtractSamples")
|
||||
}
|
||||
if !reflect.DeepEqual(got, want) {
|
||||
t.Errorf("unexpected samples extracted, got: %v, want: %v", got, want)
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user