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prometheus_formatter_test.go
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prometheus_formatter_test.go
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// Copyright 2020, OpenTelemetry 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 sumologicexporter
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
"go.opentelemetry.io/collector/pdata/pcommon"
"go.opentelemetry.io/collector/pdata/pmetric"
)
func TestSanitizeKey(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
key := "&^*123-abc-ABC!./?_:\n\r"
expected := "___123-abc-ABC_./__:__"
assert.EqualValues(t, expected, f.sanitizeKeyBytes([]byte(key)))
}
func TestSanitizeValue(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
// `\`, `"` and `\n` should be escaped, everything else should be left as-is
// see: https://github.com/prometheus/docs/blob/main/content/docs/instrumenting/exposition_formats.md#line-format
value := `&^*123-abc-ABC!?./"\` + "\n\r"
expected := `&^*123-abc-ABC!?./\"\\\n` + "\r"
assert.Equal(t, expected, f.sanitizeValue(value))
}
func TestTags2StringNoLabels(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
_, attributes := exampleIntMetric()
attributes.Clear()
assert.Equal(t, prometheusTags(""), f.tags2String(attributes, pcommon.NewMap()))
}
func TestTags2String(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
_, attributes := exampleIntMetric()
attributes.PutInt("int", 200)
labels := pcommon.NewMap()
labels.PutInt("l_int", 200)
labels.PutStr("l_str", "two")
assert.Equal(
t,
prometheusTags(`{test="test_value",test2="second_value",int="200",l_int="200",l_str="two"}`),
f.tags2String(attributes, labels),
)
}
func TestTags2StringNoAttributes(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
_, attributes := exampleIntMetric()
attributes.Clear()
assert.Equal(t, prometheusTags(""), f.tags2String(pcommon.NewMap(), pcommon.NewMap()))
}
func TestPrometheusMetricDataTypeIntGauge(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
metric, attributes := exampleIntGaugeMetric()
result := f.metric2String(metric, attributes)
expected := `gauge_metric_name{foo="bar",remote_name="156920",url="http://example_url"} 124 1608124661166
gauge_metric_name{foo="bar",remote_name="156955",url="http://another_url"} 245 1608124662166`
assert.Equal(t, expected, result)
}
func TestPrometheusMetricDataTypeDoubleGauge(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
metric, attributes := exampleDoubleGaugeMetric()
result := f.metric2String(metric, attributes)
expected := `gauge_metric_name_double_test{foo="bar",local_name="156720",endpoint="http://example_url"} 33.4 1608124661169
gauge_metric_name_double_test{foo="bar",local_name="156155",endpoint="http://another_url"} 56.8 1608124662186`
assert.Equal(t, expected, result)
}
func TestPrometheusMetricDataTypeIntSum(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
metric, attributes := exampleIntSumMetric()
result := f.metric2String(metric, attributes)
expected := `sum_metric_int_test{foo="bar",name="156720",address="http://example_url"} 45 1608124444169
sum_metric_int_test{foo="bar",name="156155",address="http://another_url"} 1238 1608124699186`
assert.Equal(t, expected, result)
}
func TestPrometheusMetricDataTypeDoubleSum(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
metric, attributes := exampleDoubleSumMetric()
result := f.metric2String(metric, attributes)
expected := `sum_metric_double_test{foo="bar",pod_name="lorem",namespace="default"} 45.6 1618124444169
sum_metric_double_test{foo="bar",pod_name="opsum",namespace="kube-config"} 1238.1 1608424699186`
assert.Equal(t, expected, result)
}
func TestPrometheusMetricDataTypeSummary(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
metric, attributes := exampleSummaryMetric()
result := f.metric2String(metric, attributes)
expected := `summary_metric_double_test{foo="bar",quantile="0.6",pod_name="dolor",namespace="sumologic"} 0.7 1618124444169
summary_metric_double_test{foo="bar",quantile="2.6",pod_name="dolor",namespace="sumologic"} 4 1618124444169
summary_metric_double_test_sum{foo="bar",pod_name="dolor",namespace="sumologic"} 45.6 1618124444169
summary_metric_double_test_count{foo="bar",pod_name="dolor",namespace="sumologic"} 3 1618124444169
summary_metric_double_test_sum{foo="bar",pod_name="sit",namespace="main"} 1238.1 1608424699186
summary_metric_double_test_count{foo="bar",pod_name="sit",namespace="main"} 7 1608424699186`
assert.Equal(t, expected, result)
}
func TestPrometheusMetricDataTypeHistogram(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
metric, attributes := exampleHistogramMetric()
result := f.metric2String(metric, attributes)
expected := `histogram_metric_double_test_bucket{bar="foo",le="0.1",container="dolor",branch="sumologic"} 0 1618124444169
histogram_metric_double_test_bucket{bar="foo",le="0.2",container="dolor",branch="sumologic"} 12 1618124444169
histogram_metric_double_test_bucket{bar="foo",le="0.5",container="dolor",branch="sumologic"} 19 1618124444169
histogram_metric_double_test_bucket{bar="foo",le="0.8",container="dolor",branch="sumologic"} 24 1618124444169
histogram_metric_double_test_bucket{bar="foo",le="1",container="dolor",branch="sumologic"} 32 1618124444169
histogram_metric_double_test_bucket{bar="foo",le="+Inf",container="dolor",branch="sumologic"} 45 1618124444169
histogram_metric_double_test_sum{bar="foo",container="dolor",branch="sumologic"} 45.6 1618124444169
histogram_metric_double_test_count{bar="foo",container="dolor",branch="sumologic"} 7 1618124444169
histogram_metric_double_test_bucket{bar="foo",le="0.1",container="sit",branch="main"} 0 1608424699186
histogram_metric_double_test_bucket{bar="foo",le="0.2",container="sit",branch="main"} 10 1608424699186
histogram_metric_double_test_bucket{bar="foo",le="0.5",container="sit",branch="main"} 11 1608424699186
histogram_metric_double_test_bucket{bar="foo",le="0.8",container="sit",branch="main"} 12 1608424699186
histogram_metric_double_test_bucket{bar="foo",le="1",container="sit",branch="main"} 16 1608424699186
histogram_metric_double_test_bucket{bar="foo",le="+Inf",container="sit",branch="main"} 22 1608424699186
histogram_metric_double_test_sum{bar="foo",container="sit",branch="main"} 54.1 1608424699186
histogram_metric_double_test_count{bar="foo",container="sit",branch="main"} 98 1608424699186`
assert.Equal(t, expected, result)
}
func TestEmptyPrometheusMetrics(t *testing.T) {
type testCase struct {
name string
metricFunc func(fillData bool) (pmetric.Metric, pcommon.Map)
expected string
}
tests := []testCase{
{
name: "empty int gauge",
metricFunc: buildExampleIntGaugeMetric,
expected: "",
},
{
name: "empty double gauge",
metricFunc: buildExampleDoubleGaugeMetric,
expected: "",
},
{
name: "empty int sum",
metricFunc: buildExampleIntSumMetric,
expected: "",
},
{
name: "empty double sum",
metricFunc: buildExampleDoubleSumMetric,
expected: "",
},
{
name: "empty summary",
metricFunc: buildExampleSummaryMetric,
expected: "",
},
{
name: "histogram with one datapoint, no sum or buckets",
metricFunc: buildExampleHistogramMetric,
expected: `histogram_metric_double_test_count{bar="foo"} 0 0`,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
f, err := newPrometheusFormatter()
require.NoError(t, err)
result := f.metric2String(tt.metricFunc(false))
assert.Equal(t, tt.expected, result)
})
}
}
func Benchmark_PrometheusFormatter_Metric2String(b *testing.B) {
f, err := newPrometheusFormatter()
require.NoError(b, err)
metric, attributes := buildExampleHistogramMetric(true)
b.ResetTimer()
for i := 0; i < b.N; i++ {
_ = f.metric2String(metric, attributes)
}
}