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synthetic_dataset.go
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synthetic_dataset.go
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// 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 dataset
import (
"math/rand"
"strings"
"go.opentelemetry.io/collector/pdata/pcommon"
"go.opentelemetry.io/collector/pdata/plog"
"go.opentelemetry.io/collector/pdata/pmetric"
"go.opentelemetry.io/collector/pdata/ptrace"
"github.com/f5/otel-arrow-adapter/pkg/datagen"
carrow "github.com/f5/otel-arrow-adapter/pkg/otel/common/otlp"
)
type MetricsDataset interface {
Len() int
Metrics(start, size int) []pmetric.Metrics
}
type LogsDataset interface {
Len() int
ShowStats()
Logs(start, size int) []plog.Logs
SizeInBytes() int
}
type TraceDataset interface {
Len() int
Traces(start, size int) []ptrace.Traces
}
func ResourceAndScopeId(r pcommon.Resource, is pcommon.InstrumentationScope) string {
var b strings.Builder
b.WriteString(carrow.ResourceID(r, ""))
b.WriteString("|")
b.WriteString(carrow.ScopeID(is, ""))
return b.String()
}
// ===== Fake metrics dataset =====
// FakeMetricsDataset is an implementation of MetricsDataset returning fake metrics.
type FakeMetricsDataset struct {
len int
generator *datagen.MetricsGenerator
}
func NewFakeMetricsDataset(size int) *FakeMetricsDataset {
//#nosec G404 -- This is a false positive, this random number generator is not used for test purposes
entropy := datagen.NewTestEntropy(int64(rand.Uint64()))
return &FakeMetricsDataset{len: size, generator: datagen.NewMetricsGenerator(entropy, entropy.NewStandardResourceAttributes(), entropy.NewStandardInstrumentationScopes())}
}
func (d *FakeMetricsDataset) Len() int {
return d.len
}
func (d *FakeMetricsDataset) Metrics(_, size int) []pmetric.Metrics {
return []pmetric.Metrics{d.generator.GenerateAllKindOfMetrics(size, 100)}
}
// ===== Fake logs dataset =====
// FakeLogsDataset is an implementation of LogsDataset returning fake logs.
type FakeLogsDataset struct {
len int
generator *datagen.LogsGenerator
}
func NewFakeLogsDataset(size int) *FakeLogsDataset {
//#nosec G404 -- This is a false positive, this random number generator is not used for test purposes
entropy := datagen.NewTestEntropy(int64(rand.Uint64()))
return &FakeLogsDataset{len: size, generator: datagen.NewLogsGenerator(entropy, entropy.NewStandardResourceAttributes(), entropy.NewStandardInstrumentationScopes())}
}
func (d *FakeLogsDataset) SizeInBytes() int {
return 0
}
func (d *FakeLogsDataset) Len() int {
return d.len
}
func (d *FakeLogsDataset) ShowStats() {
// Not implemented
}
func (d *FakeLogsDataset) Logs(_, size int) []plog.Logs {
return []plog.Logs{d.generator.Generate(size, 100)}
}
// ===== Fake traces dataset =====
// FakeTraceDataset is an implementation of TraceDataset returning fake traces.
type FakeTraceDataset struct {
len int
generator *datagen.TraceGenerator
}
func NewFakeTraceDataset(size int) *FakeTraceDataset {
//#nosec G404 -- This is a false positive, this random number generator is not used for test purposes
entropy := datagen.NewTestEntropy(int64(rand.Uint64()))
return &FakeTraceDataset{len: size, generator: datagen.NewTracesGenerator(entropy, entropy.NewStandardResourceAttributes(), entropy.NewStandardInstrumentationScopes())}
}
func (d *FakeTraceDataset) Len() int {
return d.len
}
func (d *FakeTraceDataset) Traces(_, size int) []ptrace.Traces {
return []ptrace.Traces{d.generator.Generate(size, 100)}
}