// Copyright The 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 stdoutmetric_test import ( "context" "encoding/json" "os" "time" "go.opentelemetry.io/otel/attribute" "go.opentelemetry.io/otel/exporters/stdout/stdoutmetric" "go.opentelemetry.io/otel/metric/unit" "go.opentelemetry.io/otel/sdk/instrumentation" "go.opentelemetry.io/otel/sdk/metric" "go.opentelemetry.io/otel/sdk/metric/metricdata" "go.opentelemetry.io/otel/sdk/resource" semconv "go.opentelemetry.io/otel/semconv/v1.17.0" ) var ( // Sat Jan 01 2000 00:00:00 GMT+0000. now = time.Date(2000, time.January, 01, 0, 0, 0, 0, time.FixedZone("GMT", 0)) res = resource.NewSchemaless( semconv.ServiceNameKey.String("stdoutmetric-example"), ) mockData = metricdata.ResourceMetrics{ Resource: res, ScopeMetrics: []metricdata.ScopeMetrics{ { Scope: instrumentation.Scope{Name: "example", Version: "v0.0.1"}, Metrics: []metricdata.Metrics{ { Name: "requests", Description: "Number of requests received", Unit: unit.Dimensionless, Data: metricdata.Sum[int64]{ IsMonotonic: true, Temporality: metricdata.DeltaTemporality, DataPoints: []metricdata.DataPoint[int64]{ { Attributes: attribute.NewSet(attribute.String("server", "central")), StartTime: now, Time: now.Add(1 * time.Second), Value: 5, }, }, }, }, { Name: "latency", Description: "Time spend processing received requests", Unit: unit.Milliseconds, Data: metricdata.Histogram{ Temporality: metricdata.DeltaTemporality, DataPoints: []metricdata.HistogramDataPoint{ { Attributes: attribute.NewSet(attribute.String("server", "central")), StartTime: now, Time: now.Add(1 * time.Second), Count: 10, Bounds: []float64{1, 5, 10}, BucketCounts: []uint64{1, 3, 6, 0}, Sum: 57, }, }, }, }, { Name: "temperature", Description: "CPU global temperature", Unit: unit.Unit("cel(1 K)"), Data: metricdata.Gauge[float64]{ DataPoints: []metricdata.DataPoint[float64]{ { Attributes: attribute.NewSet(attribute.String("server", "central")), Time: now.Add(1 * time.Second), Value: 32.4, }, }, }, }, }, }, }, } ) func Example() { // Print with a JSON encoder that indents with two spaces. enc := json.NewEncoder(os.Stdout) enc.SetIndent("", " ") exp, err := stdoutmetric.New(stdoutmetric.WithEncoder(enc)) if err != nil { panic(err) } // Register the exporter with an SDK via a periodic reader. sdk := metric.NewMeterProvider( metric.WithResource(res), metric.WithReader(metric.NewPeriodicReader(exp)), ) ctx := context.Background() // This is where the sdk would be used to create a Meter and from that // instruments that would make measurments of your code. To simulate that // behavior, call export directly with mocked data. _ = exp.Export(ctx, mockData) // Ensure the periodic reader is cleaned up by shutting down the sdk. _ = sdk.Shutdown(ctx) }