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mirror of https://github.com/open-telemetry/opentelemetry-go.git synced 2025-02-07 13:31:42 +02:00
Damien Mathieu ac4fca2260
Use a TB interface in metricdatatest (#4483)
* use testing.TB interface in metricdatatest

* add changelog entry

* use our own TB interface

* Update CHANGELOG.md

Co-authored-by: Robert Pająk <pellared@hotmail.com>

* rename TB to TestingT

* SIG meeting feedback

* ensure *testing.T implements TestingT

* Update sdk/metric/metricdata/metricdatatest/assertion.go

Co-authored-by: Robert Pająk <pellared@hotmail.com>

* change formatting for last testing.TB too

---------

Co-authored-by: Robert Pająk <pellared@hotmail.com>
2023-09-11 07:26:21 -07:00

267 lines
9.3 KiB
Go

// 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 metricdatatest provides testing functionality for use with the
// metricdata package.
package metricdatatest // import "go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest"
import (
"fmt"
"go.opentelemetry.io/otel/attribute"
"go.opentelemetry.io/otel/sdk/metric/metricdata"
)
// Datatypes are the concrete data-types the metricdata package provides.
type Datatypes interface {
metricdata.DataPoint[float64] |
metricdata.DataPoint[int64] |
metricdata.Gauge[float64] |
metricdata.Gauge[int64] |
metricdata.Histogram[float64] |
metricdata.Histogram[int64] |
metricdata.HistogramDataPoint[float64] |
metricdata.HistogramDataPoint[int64] |
metricdata.Extrema[int64] |
metricdata.Extrema[float64] |
metricdata.Metrics |
metricdata.ResourceMetrics |
metricdata.ScopeMetrics |
metricdata.Sum[float64] |
metricdata.Sum[int64] |
metricdata.Exemplar[float64] |
metricdata.Exemplar[int64] |
metricdata.ExponentialHistogram[float64] |
metricdata.ExponentialHistogram[int64] |
metricdata.ExponentialHistogramDataPoint[float64] |
metricdata.ExponentialHistogramDataPoint[int64] |
metricdata.ExponentialBucket
// Interface types are not allowed in union types, therefore the
// Aggregation and Value type from metricdata are not included here.
}
// TestingT is an interface that implements [testing.T], but without the
// private method of [testing.TB], so other testing packages can rely on it as
// well.
// The methods in this interface must match the [testing.TB] interface.
type TestingT interface {
Helper()
// DO NOT CHANGE: any modification will not be backwards compatible and
// must never be done outside of a new major release.
Error(...any)
// DO NOT CHANGE: any modification will not be backwards compatible and
// must never be done outside of a new major release.
}
type config struct {
ignoreTimestamp bool
ignoreExemplars bool
ignoreValue bool
}
func newConfig(opts []Option) config {
var cfg config
for _, opt := range opts {
cfg = opt.apply(cfg)
}
return cfg
}
// Option allows for fine grain control over how AssertEqual operates.
type Option interface {
apply(cfg config) config
}
type fnOption func(cfg config) config
func (fn fnOption) apply(cfg config) config {
return fn(cfg)
}
// IgnoreTimestamp disables checking if timestamps are different.
func IgnoreTimestamp() Option {
return fnOption(func(cfg config) config {
cfg.ignoreTimestamp = true
return cfg
})
}
// IgnoreExemplars disables checking if Exemplars are different.
func IgnoreExemplars() Option {
return fnOption(func(cfg config) config {
cfg.ignoreExemplars = true
return cfg
})
}
// IgnoreValue disables checking if values are different. This can be
// useful for non-deterministic values, like measured durations.
//
// This will ignore the value and trace information for Exemplars;
// the buckets, zero count, scale, sum, max, min, and counts of
// ExponentialHistogramDataPoints; the buckets, sum, count, max,
// and min of HistogramDataPoints; the value of DataPoints.
func IgnoreValue() Option {
return fnOption(func(cfg config) config {
cfg.ignoreValue = true
return cfg
})
}
// AssertEqual asserts that the two concrete data-types from the metricdata
// package are equal.
func AssertEqual[T Datatypes](t TestingT, expected, actual T, opts ...Option) bool {
t.Helper()
cfg := newConfig(opts)
// Generic types cannot be type asserted. Use an interface instead.
aIface := interface{}(actual)
var r []string
switch e := interface{}(expected).(type) {
case metricdata.Exemplar[int64]:
r = equalExemplars(e, aIface.(metricdata.Exemplar[int64]), cfg)
case metricdata.Exemplar[float64]:
r = equalExemplars(e, aIface.(metricdata.Exemplar[float64]), cfg)
case metricdata.DataPoint[int64]:
r = equalDataPoints(e, aIface.(metricdata.DataPoint[int64]), cfg)
case metricdata.DataPoint[float64]:
r = equalDataPoints(e, aIface.(metricdata.DataPoint[float64]), cfg)
case metricdata.Gauge[int64]:
r = equalGauges(e, aIface.(metricdata.Gauge[int64]), cfg)
case metricdata.Gauge[float64]:
r = equalGauges(e, aIface.(metricdata.Gauge[float64]), cfg)
case metricdata.Histogram[float64]:
r = equalHistograms(e, aIface.(metricdata.Histogram[float64]), cfg)
case metricdata.Histogram[int64]:
r = equalHistograms(e, aIface.(metricdata.Histogram[int64]), cfg)
case metricdata.HistogramDataPoint[float64]:
r = equalHistogramDataPoints(e, aIface.(metricdata.HistogramDataPoint[float64]), cfg)
case metricdata.HistogramDataPoint[int64]:
r = equalHistogramDataPoints(e, aIface.(metricdata.HistogramDataPoint[int64]), cfg)
case metricdata.Extrema[int64]:
r = equalExtrema(e, aIface.(metricdata.Extrema[int64]), cfg)
case metricdata.Extrema[float64]:
r = equalExtrema(e, aIface.(metricdata.Extrema[float64]), cfg)
case metricdata.Metrics:
r = equalMetrics(e, aIface.(metricdata.Metrics), cfg)
case metricdata.ResourceMetrics:
r = equalResourceMetrics(e, aIface.(metricdata.ResourceMetrics), cfg)
case metricdata.ScopeMetrics:
r = equalScopeMetrics(e, aIface.(metricdata.ScopeMetrics), cfg)
case metricdata.Sum[int64]:
r = equalSums(e, aIface.(metricdata.Sum[int64]), cfg)
case metricdata.Sum[float64]:
r = equalSums(e, aIface.(metricdata.Sum[float64]), cfg)
case metricdata.ExponentialHistogram[float64]:
r = equalExponentialHistograms(e, aIface.(metricdata.ExponentialHistogram[float64]), cfg)
case metricdata.ExponentialHistogram[int64]:
r = equalExponentialHistograms(e, aIface.(metricdata.ExponentialHistogram[int64]), cfg)
case metricdata.ExponentialHistogramDataPoint[float64]:
r = equalExponentialHistogramDataPoints(e, aIface.(metricdata.ExponentialHistogramDataPoint[float64]), cfg)
case metricdata.ExponentialHistogramDataPoint[int64]:
r = equalExponentialHistogramDataPoints(e, aIface.(metricdata.ExponentialHistogramDataPoint[int64]), cfg)
case metricdata.ExponentialBucket:
r = equalExponentialBuckets(e, aIface.(metricdata.ExponentialBucket), cfg)
default:
// We control all types passed to this, panic to signal developers
// early they changed things in an incompatible way.
panic(fmt.Sprintf("unknown types: %T", expected))
}
if len(r) > 0 {
t.Error(r)
return false
}
return true
}
// AssertAggregationsEqual asserts that two Aggregations are equal.
func AssertAggregationsEqual(t TestingT, expected, actual metricdata.Aggregation, opts ...Option) bool {
t.Helper()
cfg := newConfig(opts)
if r := equalAggregations(expected, actual, cfg); len(r) > 0 {
t.Error(r)
return false
}
return true
}
// AssertHasAttributes asserts that all Datapoints or HistogramDataPoints have all passed attrs.
func AssertHasAttributes[T Datatypes](t TestingT, actual T, attrs ...attribute.KeyValue) bool {
t.Helper()
var reasons []string
switch e := interface{}(actual).(type) {
case metricdata.Exemplar[int64]:
reasons = hasAttributesExemplars(e, attrs...)
case metricdata.Exemplar[float64]:
reasons = hasAttributesExemplars(e, attrs...)
case metricdata.DataPoint[int64]:
reasons = hasAttributesDataPoints(e, attrs...)
case metricdata.DataPoint[float64]:
reasons = hasAttributesDataPoints(e, attrs...)
case metricdata.Gauge[int64]:
reasons = hasAttributesGauge(e, attrs...)
case metricdata.Gauge[float64]:
reasons = hasAttributesGauge(e, attrs...)
case metricdata.Sum[int64]:
reasons = hasAttributesSum(e, attrs...)
case metricdata.Sum[float64]:
reasons = hasAttributesSum(e, attrs...)
case metricdata.HistogramDataPoint[int64]:
reasons = hasAttributesHistogramDataPoints(e, attrs...)
case metricdata.HistogramDataPoint[float64]:
reasons = hasAttributesHistogramDataPoints(e, attrs...)
case metricdata.Extrema[int64], metricdata.Extrema[float64]:
// Nothing to check.
case metricdata.Histogram[int64]:
reasons = hasAttributesHistogram(e, attrs...)
case metricdata.Histogram[float64]:
reasons = hasAttributesHistogram(e, attrs...)
case metricdata.Metrics:
reasons = hasAttributesMetrics(e, attrs...)
case metricdata.ScopeMetrics:
reasons = hasAttributesScopeMetrics(e, attrs...)
case metricdata.ResourceMetrics:
reasons = hasAttributesResourceMetrics(e, attrs...)
case metricdata.ExponentialHistogram[int64]:
reasons = hasAttributesExponentialHistogram(e, attrs...)
case metricdata.ExponentialHistogram[float64]:
reasons = hasAttributesExponentialHistogram(e, attrs...)
case metricdata.ExponentialHistogramDataPoint[int64]:
reasons = hasAttributesExponentialHistogramDataPoints(e, attrs...)
case metricdata.ExponentialHistogramDataPoint[float64]:
reasons = hasAttributesExponentialHistogramDataPoints(e, attrs...)
case metricdata.ExponentialBucket:
// Nothing to check.
default:
// We control all types passed to this, panic to signal developers
// early they changed things in an incompatible way.
panic(fmt.Sprintf("unknown types: %T", actual))
}
if len(reasons) > 0 {
t.Error(reasons)
return false
}
return true
}