testutil

Documentation

Index

• Variables
• func CollectAndCompare(c metrics.Collector, expected io.Reader, metricNames ...string) error
• func ComputeHistogramDelta(before, after model.Samples, label model.LabelName)
• func CustomCollectAndCompare(c metrics.StableCollector, expected io.Reader, metricNames ...string) error
• func GatherAndCompare(g metrics.Gatherer, expected io.Reader, metricNames ...string) error
• func GetCounterMetricValue(m metrics.CounterMetric) (float64, error)
• func GetGaugeMetricValue(m metrics.GaugeMetric) (float64, error)
• func GetHistogramMetricCount(m metrics.ObserverMetric) (uint64, error)
• func GetHistogramMetricValue(m metrics.ObserverMetric) (float64, error)
• func GetMetricValuesForLabel(ms Metrics, metricName, label string) map[string]int64
• func LabelsMatch(metric *dto.Metric, labelFilter map[string]string) bool
• func NewFakeKubeRegistry(ver string) metrics.KubeRegistry
• func ParseMetrics(data string, output *Metrics) error
• func PrintSample(sample *model.Sample) string
• func TextToMetricFamilies(in io.Reader) (map[string]*dto.MetricFamily, error)
• func ValidateMetrics(metrics Metrics, metricName string, expectedLabels ...string) error
• type Histogram
  • func (hist *Histogram) Average() float64
  • func (hist *Histogram) Quantile(q float64) float64
  • func (hist *Histogram) Validate() error
• type HistogramVec
  • func GetHistogramVecFromGatherer(gatherer metrics.Gatherer, metricName string, lvMap map[string]string) (HistogramVec, error)
  • func (vec HistogramVec) Average() float64
  • func (vec HistogramVec) GetAggregatedSampleCount() uint64
  • func (vec HistogramVec) GetAggregatedSampleSum() float64
  • func (vec HistogramVec) Quantile(q float64) float64
  • func (vec HistogramVec) Validate() error
• type Linter
  • func NewPromLinter(r io.Reader) *Linter
  • func (l *Linter) Lint() ([]Problem, error)
• type Metrics
  • func NewMetrics() Metrics
  • func (m *Metrics) Equal(o Metrics) bool
• type Problem
  • func (p *Problem) String() string

Variables

var (
	// MetricNameLabel is label under which model.Sample stores metric name
	MetricNameLabel model.LabelName = model.MetricNameLabel
	// QuantileLabel is label under which model.Sample stores latency quantile value
	QuantileLabel model.LabelName = model.QuantileLabel
)

Functions

func CollectAndCompare

func CollectAndCompare(c metrics.Collector, expected io.Reader, metricNames ...string) error

CollectAndCompare registers the provided Collector with a newly created pedantic Registry. It then does the same as GatherAndCompare, gathering the metrics from the pedantic Registry.

func ComputeHistogramDelta

func ComputeHistogramDelta(before, after model.Samples, label model.LabelName)

ComputeHistogramDelta computes the change in histogram metric for a selected label. Results are stored in after samples

func CustomCollectAndCompare

func CustomCollectAndCompare(c metrics.StableCollector, expected io.Reader, metricNames ...string) error

CustomCollectAndCompare registers the provided StableCollector with a newly created registry. It then does the same as GatherAndCompare, gathering the metrics from the pedantic Registry.

func GatherAndCompare

func GatherAndCompare(g metrics.Gatherer, expected io.Reader, metricNames ...string) error

GatherAndCompare gathers all metrics from the provided Gatherer and compares it to an expected output read from the provided Reader in the Prometheus text exposition format. If any metricNames are provided, only metrics with those names are compared.

func GetCounterMetricValue

func GetCounterMetricValue(m metrics.CounterMetric) (float64, error)

GetCounterMetricValue extracts metric value from CounterMetric

func GetGaugeMetricValue

func GetGaugeMetricValue(m metrics.GaugeMetric) (float64, error)

GetGaugeMetricValue extracts metric value from GaugeMetric

func GetHistogramMetricCount

func GetHistogramMetricCount(m metrics.ObserverMetric) (uint64, error)

GetHistogramMetricCount extracts count of all samples from ObserverMetric

func GetHistogramMetricValue

func GetHistogramMetricValue(m metrics.ObserverMetric) (float64, error)

GetHistogramMetricValue extracts sum of all samples from ObserverMetric

func GetMetricValuesForLabel

func GetMetricValuesForLabel(ms Metrics, metricName, label string) map[string]int64

GetMetricValuesForLabel returns value of metric for a given dimension

func LabelsMatch

func LabelsMatch(metric *dto.Metric, labelFilter map[string]string) bool

LabelsMatch returns true if metric has all expected labels otherwise false

func NewFakeKubeRegistry

func NewFakeKubeRegistry(ver string) metrics.KubeRegistry

NewFakeKubeRegistry creates a fake `KubeRegistry` that takes the input version as `build in version`. It should only be used in testing scenario especially for the deprecated metrics. The input version format should be `major.minor.patch`, e.g. '1.18.0'.

func ParseMetrics

func ParseMetrics(data string, output *Metrics) error

ParseMetrics parses Metrics from data returned from prometheus endpoint

func PrintSample

func PrintSample(sample *model.Sample) string

PrintSample returns formatted representation of metric Sample

func TextToMetricFamilies

func TextToMetricFamilies(in io.Reader) (map[string]*dto.MetricFamily, error)

TextToMetricFamilies reads 'in' as the simple and flat text-based exchange format and creates MetricFamily proto messages. It returns the MetricFamily proto messages in a map where the metric names are the keys, along with any error encountered.

func ValidateMetrics

func ValidateMetrics(metrics Metrics, metricName string, expectedLabels ...string) error

ValidateMetrics verifies if every sample of metric has all expected labels

Types

type Histogram

type Histogram struct {
	*dto.Histogram
}

Histogram wraps prometheus histogram DTO (data transfer object)

func (*Histogram) Average

func (hist *Histogram) Average() float64

Average computes histogram's average value

func (*Histogram) Quantile

func (hist *Histogram) Quantile(q float64) float64

Quantile computes q-th quantile of a cumulative histogram. It's expected the histogram is valid (by calling Validate)

func (*Histogram) Validate

func (hist *Histogram) Validate() error

Validate makes sure the wrapped histogram has all necessary fields set and with valid values.

type HistogramVec

type HistogramVec []*Histogram

HistogramVec wraps a slice of Histogram. Note that each Histogram must have the same number of buckets.

func GetHistogramVecFromGatherer

func GetHistogramVecFromGatherer(gatherer metrics.Gatherer, metricName string, lvMap map[string]string) (HistogramVec, error)

GetHistogramVecFromGatherer collects a metric, that matches the input labelValue map, from a gatherer implementing k8s.io/component-base/metrics.Gatherer interface. Used only for testing purposes where we need to gather metrics directly from a running binary (without metrics endpoint).

func (HistogramVec) Average

func (vec HistogramVec) Average() float64

Average computes wrapped histograms' average value.

func (HistogramVec) GetAggregatedSampleCount

func (vec HistogramVec) GetAggregatedSampleCount() uint64

GetAggregatedSampleCount aggregates the sample count of each inner Histogram.

func (HistogramVec) GetAggregatedSampleSum

func (vec HistogramVec) GetAggregatedSampleSum() float64

GetAggregatedSampleSum aggregates the sample sum of each inner Histogram.

func (HistogramVec) Quantile

func (vec HistogramVec) Quantile(q float64) float64

Quantile first aggregates inner buckets of each Histogram, and then computes q-th quantile of a cumulative histogram.

func (HistogramVec) Validate

func (vec HistogramVec) Validate() error

Validate makes sure the wrapped histograms have all necessary fields set and with valid values.

type Linter

type Linter struct {
	// contains filtered or unexported fields
}

A Linter is a Prometheus metrics linter. It identifies issues with metric names, types, and metadata, and reports them to the caller.

func NewPromLinter

func NewPromLinter(r io.Reader) *Linter

NewPromLinter creates a new Linter that reads an input stream of Prometheus metrics. Only the text exposition format is supported.

func (*Linter) Lint

func (l *Linter) Lint() ([]Problem, error)

Lint performs a linting pass, returning a slice of Problems indicating any issues found in the metrics stream. The slice is sorted by metric name and issue description.

type Metrics

type Metrics map[string]model.Samples

Metrics is generic metrics for other specific metrics

func NewMetrics

func NewMetrics() Metrics

NewMetrics returns new metrics which are initialized.

func (*Metrics) Equal

func (m *Metrics) Equal(o Metrics) bool

Equal returns true if all metrics are the same as the arguments.

type Problem

type Problem promlint.Problem

A Problem is an issue detected by a Linter.

func (*Problem) String

func (p *Problem) String() string