Golang Tester.Error方法代码示例

func AppendSampleAsPureSparseAppendTests(p MetricPersistence, t test.Tester) {
	appendSample := func(x int) (success bool) {
		v := model.SampleValue(x)
		ts := time.Unix(int64(x), int64(x))
		labelName := model.LabelName(x)
		labelValue := model.LabelValue(x)
		l := model.Metric{labelName: labelValue}

		sample := model.Sample{
			Value:     v,
			Timestamp: ts,
			Metric:    l,
		}

		err := p.AppendSample(sample)

		success = err == nil
		if !success {
			t.Error(err)
		}

		return
	}

	if err := quick.Check(appendSample, nil); err != nil {
		t.Error(err)
	}
}

func AppendSampleAsPureSingleEntityAppendTests(p MetricPersistence, t test.Tester) {
	appendSample := func(x int) bool {
		sample := model.Sample{
			Value:     model.SampleValue(x),
			Timestamp: time.Unix(int64(x), 0),
			Metric:    model.Metric{model.MetricNameLabel: "my_metric"},
		}

		err := p.AppendSample(sample)

		return err == nil
	}

	if err := quick.Check(appendSample, nil); err != nil {
		t.Error(err)
	}
}

func AppendSampleAsPureSingleEntityAppendTests(p metric.Persistence, t test.Tester) {
	appendSample := func(x int) bool {
		sample := &clientmodel.Sample{
			Value:     clientmodel.SampleValue(x),
			Timestamp: clientmodel.TimestampFromUnix(int64(x)),
			Metric:    clientmodel.Metric{clientmodel.MetricNameLabel: "my_metric"},
		}

		err := p.AppendSamples(clientmodel.Samples{sample})

		return err == nil
	}

	if err := quick.Check(appendSample, nil); err != nil {
		t.Error(err)
	}
}

func ReadEmptyTests(p MetricPersistence, t test.Tester) {
	hasLabelPair := func(x int) (success bool) {
		name := model.LabelName(string(x))
		value := model.LabelValue(string(x))

		labelSet := model.LabelSet{
			name: value,
		}

		fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
		if err != nil {
			t.Error(err)
			return
		}

		success = len(fingerprints) == 0
		if !success {
			t.Errorf("unexpected fingerprint length %d, got %d", 0, len(fingerprints))
		}

		return
	}

	err := quick.Check(hasLabelPair, nil)
	if err != nil {
		t.Error(err)
		return
	}

	hasLabelName := func(x int) (success bool) {
		labelName := model.LabelName(string(x))

		fingerprints, err := p.GetFingerprintsForLabelName(labelName)
		if err != nil {
			t.Error(err)
			return
		}

		success = len(fingerprints) == 0
		if !success {
			t.Errorf("unexpected fingerprint length %d, got %d", 0, len(fingerprints))
		}

		return
	}

	err = quick.Check(hasLabelName, nil)
	if err != nil {
		t.Error(err)
		return
	}
}

func AppendSampleAsSparseAppendWithReadsTests(p metric.Persistence, t test.Tester) {
	appendSample := func(x int) (success bool) {
		v := clientmodel.SampleValue(x)
		ts := clientmodel.TimestampFromUnix(int64(x))
		labelName := clientmodel.LabelName(x)
		labelValue := clientmodel.LabelValue(x)
		l := clientmodel.Metric{labelName: labelValue}

		sample := &clientmodel.Sample{
			Value:     v,
			Timestamp: ts,
			Metric:    l,
		}

		err := p.AppendSamples(clientmodel.Samples{sample})
		if err != nil {
			t.Error(err)
			return
		}

		values, err := p.GetLabelValuesForLabelName(labelName)
		if err != nil {
			t.Error(err)
			return
		}
		if len(values) != 1 {
			t.Errorf("expected label values count of %d, got %d", 1, len(values))
			return
		}

		fingerprints, err := p.GetFingerprintsForLabelMatchers(metric.LabelMatchers{{
			Type:  metric.Equal,
			Name:  labelName,
			Value: labelValue,
		}})
		if err != nil {
			t.Error(err)
			return
		}
		if len(fingerprints) != 1 {
			t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
			return
		}

		return true
	}

	if err := quick.Check(appendSample, nil); err != nil {
		t.Error(err)
	}
}

func AppendSampleAsSparseAppendWithReadsTests(p MetricPersistence, t test.Tester) {
	appendSample := func(x int) (success bool) {
		v := model.SampleValue(x)
		ts := time.Unix(int64(x), int64(x))
		labelName := model.LabelName(x)
		labelValue := model.LabelValue(x)
		l := model.Metric{labelName: labelValue}

		sample := model.Sample{
			Value:     v,
			Timestamp: ts,
			Metric:    l,
		}

		err := p.AppendSample(sample)
		if err != nil {
			t.Error(err)
			return
		}

		fingerprints, err := p.GetFingerprintsForLabelName(labelName)
		if err != nil {
			t.Error(err)
			return
		}
		if len(fingerprints) != 1 {
			t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
			return
		}

		fingerprints, err = p.GetFingerprintsForLabelSet(model.LabelSet{
			labelName: labelValue,
		})
		if err != nil {
			t.Error(err)
			return
		}
		if len(fingerprints) != 1 {
			t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
			return
		}

		return true
	}

	if err := quick.Check(appendSample, nil); err != nil {
		t.Error(err)
	}
}

func ReadEmptyTests(p metric.Persistence, t test.Tester) {
	hasLabelPair := func(x int) (success bool) {
		fingerprints, err := p.GetFingerprintsForLabelMatchers(metric.LabelMatchers{{
			Type:  metric.Equal,
			Name:  clientmodel.LabelName(string(x)),
			Value: clientmodel.LabelValue(string(x)),
		}})
		if err != nil {
			t.Error(err)
			return
		}

		success = len(fingerprints) == 0
		if !success {
			t.Errorf("unexpected fingerprint length %d, got %d", 0, len(fingerprints))
		}

		return
	}

	err := quick.Check(hasLabelPair, nil)
	if err != nil {
		t.Error(err)
		return
	}

	hasLabelName := func(x int) (success bool) {
		labelName := clientmodel.LabelName(string(x))

		values, err := p.GetLabelValuesForLabelName(labelName)
		if err != nil {
			t.Error(err)
			return
		}

		success = len(values) == 0
		if !success {
			t.Errorf("unexpected values length %d, got %d", 0, len(values))
		}

		return
	}

	err = quick.Check(hasLabelName, nil)
	if err != nil {
		t.Error(err)
		return
	}
}

func GetFingerprintsForLabelSetTests(p MetricPersistence, t test.Tester) {
	testAppendSample(p, model.Sample{
		Value:     0,
		Timestamp: time.Time{},
		Metric: model.Metric{
			model.MetricNameLabel: "my_metric",
			"request_type":        "your_mom",
		},
	}, t)

	testAppendSample(p, model.Sample{
		Value:     0,
		Timestamp: time.Time{},
		Metric: model.Metric{
			model.MetricNameLabel: "my_metric",
			"request_type":        "your_dad",
		},
	}, t)

	result, err := p.GetFingerprintsForLabelSet(model.LabelSet{
		model.MetricNameLabel: model.LabelValue("my_metric"),
	})

	if err != nil {
		t.Error(err)
	}

	if len(result) != 2 {
		t.Errorf("Expected two elements.")
	}

	result, err = p.GetFingerprintsForLabelSet(model.LabelSet{
		model.LabelName("request_type"): model.LabelValue("your_mom"),
	})

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}

	result, err = p.GetFingerprintsForLabelSet(model.LabelSet{
		model.LabelName("request_type"): model.LabelValue("your_dad"),
	})

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}
}

func GetMetricForFingerprintTests(p metric.Persistence, t test.Tester) {
	testAppendSamples(p, &clientmodel.Sample{
		Value:     0,
		Timestamp: 0,
		Metric: clientmodel.Metric{
			"request_type": "your_mom",
		},
	}, t)

	testAppendSamples(p, &clientmodel.Sample{
		Value:     0,
		Timestamp: 0,
		Metric: clientmodel.Metric{
			"request_type": "your_dad",
			"one-off":      "value",
		},
	}, t)

	result, err := p.GetFingerprintsForLabelMatchers(metric.LabelMatchers{{
		Type:  metric.Equal,
		Name:  "request_type",
		Value: "your_mom",
	}})

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}

	m, err := p.GetMetricForFingerprint(result[0])
	if err != nil {
		t.Error(err)
	}

	if m == nil {
		t.Fatal("Did not expect nil.")
	}

	if len(m) != 1 {
		t.Errorf("Expected one-dimensional metric.")
	}

	if m["request_type"] != "your_mom" {
		t.Errorf("Expected metric to match.")
	}

	result, err = p.GetFingerprintsForLabelMatchers(metric.LabelMatchers{{
		Type:  metric.Equal,
		Name:  "request_type",
		Value: "your_dad",
	}})

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}

	m, err = p.GetMetricForFingerprint(result[0])

	if m == nil {
		t.Fatal("Did not expect nil.")
	}

	if err != nil {
		t.Error(err)
	}

	if len(m) != 2 {
		t.Errorf("Expected two-dimensional metric.")
	}

	if m["request_type"] != "your_dad" {
		t.Errorf("Expected metric to match.")
	}

	if m["one-off"] != "value" {
		t.Errorf("Expected metric to match.")
	}

	// Verify that mutating a returned metric does not result in the mutated
	// metric to be returned at the next GetMetricForFingerprint() call.
	m["one-off"] = "new value"
	m, err = p.GetMetricForFingerprint(result[0])

	if m == nil {
		t.Fatal("Did not expect nil.")
	}

	if err != nil {
		t.Error(err)
	}

	if len(m) != 2 {
		t.Errorf("Expected two-dimensional metric.")
//.........这里部分代码省略.........

//.........这里部分代码省略.........
						fingerprint: "1111-a-4-a",
						time:        clientmodel.TimestampFromUnix(100),
					},
					{
						fingerprint: "1111-a-4-a",
						time:        clientmodel.TimestampFromUnix(200),
					},
					{
						fingerprint: "0-a-4-a",
						time:        clientmodel.TimestampFromUnix(100),
					},
					{
						fingerprint: "0-a-4-a",
						time:        clientmodel.TimestampFromUnix(0),
					},
				},
			},
			out: out{
				{
					fingerprint: "00000000000000000000-a-4-a",
				},
				{
					fingerprint: "00000000000000000000-a-4-a",
				},
				{
					fingerprint: "00000000000000001111-a-4-a",
				},
				{
					fingerprint: "00000000000000001111-a-4-a",
				},
			},
		},
		// Ensure grouping of operations
		{
			in: in{
				atTimes: []atTime{
					{
						fingerprint: "1111-a-4-a",
						time:        clientmodel.TimestampFromUnix(100),
					},
				},
				atRanges: []atRange{
					{
						fingerprint: "1111-a-4-a",
						from:        clientmodel.TimestampFromUnix(100),
						through:     clientmodel.TimestampFromUnix(1000),
					},
					{
						fingerprint: "1111-a-4-a",
						from:        clientmodel.TimestampFromUnix(100),
						through:     clientmodel.TimestampFromUnix(9000),
					},
				},
			},
			out: out{
				{
					fingerprint: "00000000000000001111-a-4-a",
				},
				{
					fingerprint: "00000000000000001111-a-4-a",
				},
				{
					fingerprint: "00000000000000001111-a-4-a",
				},
			},
		},
	}

	for i, scenario := range scenarios {
		builder := &viewRequestBuilder{}

		for _, atTime := range scenario.in.atTimes {
			fingerprint := &clientmodel.Fingerprint{}
			fingerprint.LoadFromString(atTime.fingerprint)
			builder.GetMetricAtTime(fingerprint, atTime.time)
		}

		for _, atInterval := range scenario.in.atIntervals {
			fingerprint := &clientmodel.Fingerprint{}
			fingerprint.LoadFromString(atInterval.fingerprint)
			builder.GetMetricAtInterval(fingerprint, atInterval.from, atInterval.through, atInterval.interval)
		}

		for _, atRange := range scenario.in.atRanges {
			fingerprint := &clientmodel.Fingerprint{}
			fingerprint.LoadFromString(atRange.fingerprint)
			builder.GetMetricRange(fingerprint, atRange.from, atRange.through)
		}

		for j, job := range scenario.out {
			got := builder.PopOp()
			if got.Fingerprint().String() != job.fingerprint {
				t.Errorf("%d.%d. expected fingerprint %s, got %s", i, j, job.fingerprint, got.Fingerprint())
			}
		}
		if builder.HasOp() {
			t.Error("Expected builder to have no scan jobs left.")
		}
	}
}

func GetFingerprintsForLabelNameTests(p MetricPersistence, t test.Tester) {
	testAppendSample(p, model.Sample{
		Value:     0,
		Timestamp: time.Time{},
		Metric: model.Metric{
			model.MetricNameLabel: "my_metric",
			"request_type":        "your_mom",
			"language":            "english",
		},
	}, t)

	testAppendSample(p, model.Sample{
		Value:     0,
		Timestamp: time.Time{},
		Metric: model.Metric{
			model.MetricNameLabel: "my_metric",
			"request_type":        "your_dad",
			"sprache":             "deutsch",
		},
	}, t)

	b := model.MetricNameLabel
	result, err := p.GetFingerprintsForLabelName(b)

	if err != nil {
		t.Error(err)
	}

	if len(result) != 2 {
		t.Errorf("Expected two elements.")
	}

	b = model.LabelName("request_type")
	result, err = p.GetFingerprintsForLabelName(b)

	if err != nil {
		t.Error(err)
	}

	if len(result) != 2 {
		t.Errorf("Expected two elements.")
	}

	b = model.LabelName("language")
	result, err = p.GetFingerprintsForLabelName(b)

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}

	b = model.LabelName("sprache")
	result, err = p.GetFingerprintsForLabelName(b)

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}
}

func GetMetricForFingerprintTests(p MetricPersistence, t test.Tester) {
	testAppendSample(p, model.Sample{
		Value:     0,
		Timestamp: time.Time{},
		Metric: model.Metric{
			"request_type": "your_mom",
		},
	}, t)

	testAppendSample(p, model.Sample{
		Value:     0,
		Timestamp: time.Time{},
		Metric: model.Metric{
			"request_type": "your_dad",
			"one-off":      "value",
		},
	}, t)

	result, err := p.GetFingerprintsForLabelSet(model.LabelSet{
		model.LabelName("request_type"): model.LabelValue("your_mom"),
	})

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}

	v, e := p.GetMetricForFingerprint(result[0])
	if e != nil {
		t.Error(e)
	}

	if v == nil {
		t.Fatal("Did not expect nil.")
	}

	metric := *v

	if len(metric) != 1 {
		t.Errorf("Expected one-dimensional metric.")
	}

	if metric["request_type"] != "your_mom" {
		t.Errorf("Expected metric to match.")
	}

	result, err = p.GetFingerprintsForLabelSet(model.LabelSet{
		model.LabelName("request_type"): model.LabelValue("your_dad"),
	})

	if err != nil {
		t.Error(err)
	}

	if len(result) != 1 {
		t.Errorf("Expected one element.")
	}

	v, e = p.GetMetricForFingerprint(result[0])

	if v == nil {
		t.Fatal("Did not expect nil.")
	}

	metric = *v

	if e != nil {
		t.Error(e)
	}

	if len(metric) != 2 {
		t.Errorf("Expected one-dimensional metric.")
	}

	if metric["request_type"] != "your_dad" {
		t.Errorf("Expected metric to match.")
	}

	if metric["one-off"] != "value" {
		t.Errorf("Expected metric to match.")
	}
}

func StochasticTests(persistenceMaker func() (MetricPersistence, test.Closer), t test.Tester) {
	stochastic := func(x int) (success bool) {
		p, closer := persistenceMaker()
		defer closer.Close()
		defer p.Close()

		seed := rand.NewSource(int64(x))
		random := rand.New(seed)

		numberOfMetrics := random.Intn(stochasticMaximumVariance) + 1
		numberOfSharedLabels := random.Intn(stochasticMaximumVariance)
		numberOfUnsharedLabels := random.Intn(stochasticMaximumVariance)
		numberOfSamples := random.Intn(stochasticMaximumVariance) + 2
		numberOfRangeScans := random.Intn(stochasticMaximumVariance)

		metricTimestamps := map[int]map[int64]bool{}
		metricEarliestSample := map[int]int64{}
		metricNewestSample := map[int]int64{}

		for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ {
			sample := model.Sample{
				Metric: model.Metric{},
			}

			v := model.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex))
			sample.Metric[model.MetricNameLabel] = v

			for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
				l := model.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex))
				v := model.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex))

				sample.Metric[l] = v
			}

			for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ {
				l := model.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex))
				v := model.LabelValue(fmt.Sprintf("private_label_%d", unsharedLabelIndex))

				sample.Metric[l] = v
			}

			timestamps := map[int64]bool{}
			metricTimestamps[metricIndex] = timestamps
			var (
				newestSample  int64 = math.MinInt64
				oldestSample  int64 = math.MaxInt64
				nextTimestamp func() int64
			)

			nextTimestamp = func() int64 {
				var candidate int64
				candidate = random.Int63n(math.MaxInt32 - 1)

				if _, has := timestamps[candidate]; has {
					// WART
					candidate = nextTimestamp()
				}

				timestamps[candidate] = true

				if candidate < oldestSample {
					oldestSample = candidate
				}

				if candidate > newestSample {
					newestSample = candidate
				}

				return candidate
			}

			for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ {
				sample.Timestamp = time.Unix(nextTimestamp(), 0)
				sample.Value = model.SampleValue(sampleIndex)

				err := p.AppendSample(sample)

				if err != nil {
					t.Error(err)
					return
				}
			}

			metricEarliestSample[metricIndex] = oldestSample
			metricNewestSample[metricIndex] = newestSample

			for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
				labelPair := model.LabelSet{
					model.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex)): model.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex)),
				}

				fingerprints, err := p.GetFingerprintsForLabelSet(labelPair)
				if err != nil {
					t.Error(err)
					return
				}
				if len(fingerprints) == 0 {
					t.Errorf("expected fingerprint count of %d, got %d", 0, len(fingerprints))
					return
				}
//.........这里部分代码省略.........

func StochasticTests(persistenceMaker func() (metric.Persistence, test.Closer), t test.Tester) {
	stochastic := func(x int) (success bool) {
		p, closer := persistenceMaker()
		defer closer.Close()
		defer p.Close()

		seed := rand.NewSource(int64(x))
		random := rand.New(seed)

		numberOfMetrics := random.Intn(stochasticMaximumVariance) + 1
		numberOfSharedLabels := random.Intn(stochasticMaximumVariance)
		numberOfUnsharedLabels := random.Intn(stochasticMaximumVariance)
		numberOfSamples := random.Intn(stochasticMaximumVariance) + 2
		numberOfRangeScans := random.Intn(stochasticMaximumVariance)

		metricTimestamps := map[int]map[int64]bool{}
		metricEarliestSample := map[int]int64{}
		metricNewestSample := map[int]int64{}

		for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ {
			sample := &clientmodel.Sample{
				Metric: clientmodel.Metric{},
			}

			v := clientmodel.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex))
			sample.Metric[clientmodel.MetricNameLabel] = v

			for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
				l := clientmodel.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex))
				v := clientmodel.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex))

				sample.Metric[l] = v
			}

			for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ {
				l := clientmodel.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex))
				v := clientmodel.LabelValue(fmt.Sprintf("private_label_%d", unsharedLabelIndex))

				sample.Metric[l] = v
			}

			timestamps := map[int64]bool{}
			metricTimestamps[metricIndex] = timestamps
			var newestSample int64 = math.MinInt64
			var oldestSample int64 = math.MaxInt64
			var nextTimestamp func() int64

			nextTimestamp = func() int64 {
				var candidate int64
				candidate = random.Int63n(math.MaxInt32 - 1)

				if _, has := timestamps[candidate]; has {
					// WART
					candidate = nextTimestamp()
				}

				timestamps[candidate] = true

				if candidate < oldestSample {
					oldestSample = candidate
				}

				if candidate > newestSample {
					newestSample = candidate
				}

				return candidate
			}

			// BUG(matt): Invariant of the in-memory database assumes this.
			sortedTimestamps := timeslice{}
			for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ {
				sortedTimestamps = append(sortedTimestamps, clientmodel.TimestampFromUnix(nextTimestamp()))
			}
			sort.Sort(sortedTimestamps)

			for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ {
				sample.Timestamp = sortedTimestamps[sampleIndex]
				sample.Value = clientmodel.SampleValue(sampleIndex)

				err := p.AppendSamples(clientmodel.Samples{sample})

				if err != nil {
					t.Error(err)
					return
				}
			}

			metricEarliestSample[metricIndex] = oldestSample
			metricNewestSample[metricIndex] = newestSample

			for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
				matchers := metric.LabelMatchers{{
					Type:  metric.Equal,
					Name:  clientmodel.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex)),
					Value: clientmodel.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex)),
				}}

				fingerprints, err := p.GetFingerprintsForLabelMatchers(matchers)
				if err != nil {
//.........这里部分代码省略.........