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https://github.com/open-telemetry/opentelemetry-go.git
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379 lines
11 KiB
Go
379 lines
11 KiB
Go
// Copyright The OpenTelemetry Authors
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// SPDX-License-Identifier: Apache-2.0
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package stdoutmetric_test
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import (
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"context"
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"encoding/json"
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"os"
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"time"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/exporters/stdout/stdoutmetric"
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"go.opentelemetry.io/otel/sdk/instrumentation"
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"go.opentelemetry.io/otel/sdk/metric"
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"go.opentelemetry.io/otel/sdk/metric/metricdata"
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"go.opentelemetry.io/otel/sdk/resource"
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semconv "go.opentelemetry.io/otel/semconv/v1.26.0"
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)
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var (
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// Sat Jan 01 2000 00:00:00 GMT+0000.
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now = time.Date(2000, time.January, 0o1, 0, 0, 0, 0, time.FixedZone("GMT", 0))
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res = resource.NewSchemaless(
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semconv.ServiceName("stdoutmetric-example"),
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)
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mockData = metricdata.ResourceMetrics{
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Resource: res,
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ScopeMetrics: []metricdata.ScopeMetrics{
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{
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Scope: instrumentation.Scope{Name: "example", Version: "0.0.1"},
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Metrics: []metricdata.Metrics{
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{
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Name: "requests",
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Description: "Number of requests received",
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Unit: "1",
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Data: metricdata.Sum[int64]{
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IsMonotonic: true,
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Temporality: metricdata.DeltaTemporality,
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DataPoints: []metricdata.DataPoint[int64]{
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{
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Attributes: attribute.NewSet(attribute.String("server", "central")),
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StartTime: now,
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Time: now.Add(1 * time.Second),
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Value: 5,
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},
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},
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},
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},
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{
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Name: "system.cpu.time",
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Description: "Accumulated CPU time spent",
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Unit: "s",
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Data: metricdata.Sum[float64]{
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IsMonotonic: true,
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Temporality: metricdata.CumulativeTemporality,
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: attribute.NewSet(attribute.String("state", "user")),
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StartTime: now,
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Time: now.Add(1 * time.Second),
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Value: 0.5,
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},
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},
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},
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},
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{
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Name: "requests.size",
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Description: "Size of received requests",
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Unit: "kb",
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Data: metricdata.Histogram[int64]{
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Temporality: metricdata.DeltaTemporality,
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DataPoints: []metricdata.HistogramDataPoint[int64]{
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{
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Attributes: attribute.NewSet(attribute.String("server", "central")),
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StartTime: now,
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Time: now.Add(1 * time.Second),
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Count: 10,
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Bounds: []float64{1, 5, 10},
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BucketCounts: []uint64{1, 3, 6, 0},
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Sum: 128,
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Min: metricdata.NewExtrema[int64](3),
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Max: metricdata.NewExtrema[int64](30),
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},
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},
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},
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},
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{
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Name: "latency",
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Description: "Time spend processing received requests",
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Unit: "ms",
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Data: metricdata.Histogram[float64]{
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Temporality: metricdata.DeltaTemporality,
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DataPoints: []metricdata.HistogramDataPoint[float64]{
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{
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Attributes: attribute.NewSet(attribute.String("server", "central")),
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StartTime: now,
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Time: now.Add(1 * time.Second),
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Count: 10,
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Bounds: []float64{1, 5, 10},
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BucketCounts: []uint64{1, 3, 6, 0},
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Sum: 57,
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},
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},
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},
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},
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{
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Name: "system.memory.usage",
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Description: "Memory usage",
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Unit: "By",
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Data: metricdata.Gauge[int64]{
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DataPoints: []metricdata.DataPoint[int64]{
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{
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Attributes: attribute.NewSet(attribute.String("state", "used")),
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Time: now.Add(1 * time.Second),
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Value: 100,
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},
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},
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},
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},
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{
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Name: "temperature",
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Description: "CPU global temperature",
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Unit: "cel(1 K)",
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Data: metricdata.Gauge[float64]{
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DataPoints: []metricdata.DataPoint[float64]{
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{
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Attributes: attribute.NewSet(attribute.String("server", "central")),
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Time: now.Add(1 * time.Second),
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Value: 32.4,
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},
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},
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},
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},
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},
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},
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},
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}
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)
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func Example() {
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// Print with a JSON encoder that indents with two spaces.
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enc := json.NewEncoder(os.Stdout)
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enc.SetIndent("", " ")
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exp, err := stdoutmetric.New(
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stdoutmetric.WithEncoder(enc),
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stdoutmetric.WithoutTimestamps(),
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)
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if err != nil {
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panic(err)
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}
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// Register the exporter with an SDK via a periodic reader.
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sdk := metric.NewMeterProvider(
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metric.WithResource(res),
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metric.WithReader(metric.NewPeriodicReader(exp)),
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)
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ctx := context.Background()
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// This is where the sdk would be used to create a Meter and from that
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// instruments that would make measurements of your code. To simulate that
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// behavior, call export directly with mocked data.
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_ = exp.Export(ctx, &mockData)
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// Ensure the periodic reader is cleaned up by shutting down the sdk.
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_ = sdk.Shutdown(ctx)
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// Output:
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// {
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// "Resource": [
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// {
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// "Key": "service.name",
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// "Value": {
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// "Type": "STRING",
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// "Value": "stdoutmetric-example"
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// }
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// }
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// ],
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// "ScopeMetrics": [
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// {
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// "Scope": {
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// "Name": "example",
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// "Version": "0.0.1",
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// "SchemaURL": ""
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// },
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// "Metrics": [
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// {
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// "Name": "requests",
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// "Description": "Number of requests received",
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// "Unit": "1",
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// "Data": {
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// "DataPoints": [
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// {
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// "Attributes": [
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// {
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// "Key": "server",
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// "Value": {
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// "Type": "STRING",
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// "Value": "central"
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// }
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// }
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// ],
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// "StartTime": "0001-01-01T00:00:00Z",
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// "Time": "0001-01-01T00:00:00Z",
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// "Value": 5
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// }
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// ],
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// "Temporality": "DeltaTemporality",
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// "IsMonotonic": true
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// }
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// },
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// {
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// "Name": "system.cpu.time",
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// "Description": "Accumulated CPU time spent",
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// "Unit": "s",
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// "Data": {
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// "DataPoints": [
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// {
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// "Attributes": [
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// {
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// "Key": "state",
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// "Value": {
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// "Type": "STRING",
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// "Value": "user"
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// }
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// }
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// ],
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// "StartTime": "0001-01-01T00:00:00Z",
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// "Time": "0001-01-01T00:00:00Z",
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// "Value": 0.5
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// }
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// ],
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// "Temporality": "CumulativeTemporality",
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// "IsMonotonic": true
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// }
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// },
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// {
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// "Name": "requests.size",
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// "Description": "Size of received requests",
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// "Unit": "kb",
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// "Data": {
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// "DataPoints": [
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// {
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// "Attributes": [
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// {
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// "Key": "server",
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// "Value": {
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// "Type": "STRING",
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// "Value": "central"
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// }
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// }
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// ],
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// "StartTime": "0001-01-01T00:00:00Z",
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// "Time": "0001-01-01T00:00:00Z",
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// "Count": 10,
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// "Bounds": [
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// 1,
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// 5,
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// 10
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// ],
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// "BucketCounts": [
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// 1,
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// 3,
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// 6,
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// 0
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// ],
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// "Min": 3,
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// "Max": 30,
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// "Sum": 128
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// }
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// ],
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// "Temporality": "DeltaTemporality"
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// }
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// },
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// {
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// "Name": "latency",
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// "Description": "Time spend processing received requests",
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// "Unit": "ms",
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// "Data": {
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// "DataPoints": [
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// {
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// "Attributes": [
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// {
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// "Key": "server",
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// "Value": {
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// "Type": "STRING",
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// "Value": "central"
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// }
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// }
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// ],
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// "StartTime": "0001-01-01T00:00:00Z",
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// "Time": "0001-01-01T00:00:00Z",
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// "Count": 10,
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// "Bounds": [
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// 1,
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// 5,
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// 10
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// ],
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// "BucketCounts": [
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// 1,
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// 3,
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// 6,
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// 0
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// ],
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// "Min": null,
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// "Max": null,
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// "Sum": 57
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// }
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// ],
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// "Temporality": "DeltaTemporality"
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// }
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// },
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// {
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// "Name": "system.memory.usage",
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// "Description": "Memory usage",
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// "Unit": "By",
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// "Data": {
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// "DataPoints": [
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// {
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// "Attributes": [
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// {
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// "Key": "state",
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// "Value": {
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// "Type": "STRING",
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// "Value": "used"
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// }
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// }
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// ],
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// "StartTime": "0001-01-01T00:00:00Z",
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// "Time": "0001-01-01T00:00:00Z",
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// "Value": 100
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// }
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// ]
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// }
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// },
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// {
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// "Name": "temperature",
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// "Description": "CPU global temperature",
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// "Unit": "cel(1 K)",
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// "Data": {
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// "DataPoints": [
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// {
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// "Attributes": [
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// {
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// "Key": "server",
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// "Value": {
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// "Type": "STRING",
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// "Value": "central"
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// }
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// }
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// ],
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// "StartTime": "0001-01-01T00:00:00Z",
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// "Time": "0001-01-01T00:00:00Z",
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// "Value": 32.4
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// }
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// ]
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// }
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// }
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// ]
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// }
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// ]
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// }
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// {
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// "Resource": [
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// {
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// "Key": "service.name",
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// "Value": {
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// "Type": "STRING",
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// "Value": "stdoutmetric-example"
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// }
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// }
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// ],
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// "ScopeMetrics": null
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// }
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}
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