Extract Metrics out of ReportText
Metrics will be reused with other Reporters
This commit is contained in:
55
lib/metrics.go
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55
lib/metrics.go
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@@ -0,0 +1,55 @@
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package vegeta
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import (
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"time"
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)
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// Metrics holds the stats computed out of a slice of Results
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// that is used for some of the Reporters
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type Metrics struct {
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TotalRequests uint64 `json:"total_requests"`
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TotalTiming time.Duration `json:"total_timing"`
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MeanTiming time.Duration `json:"mean_timing"`
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TotalBytesIn uint64 `json:"total_bytes_in"`
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MeanBytesIn float64 `json:"mean_bytes_in"`
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TotalBytesOut uint64 `json:"total_bytes_out"`
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MeanBytesOut float64 `json:"mean_bytes_out"`
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TotalSuccess uint64 `json:"total_success"`
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MeanSuccess float64 `json:"mean_success"`
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StatusCodes map[uint16]uint64 `json:"status_codes"`
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Errors []string `json:"errors"`
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}
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// NewMetrics computes and returns a Metrics struct out of a slice of Results
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func NewMetrics(results []Result) *Metrics {
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m := &Metrics{
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TotalRequests: uint64(len(results)),
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StatusCodes: map[uint16]uint64{},
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}
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errorSet := map[string]struct{}{}
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for _, result := range results {
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m.StatusCodes[result.Code]++
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m.TotalTiming += result.Timing
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m.TotalBytesOut += result.BytesOut
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m.TotalBytesIn += result.BytesIn
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if result.Code >= 200 && result.Code < 300 {
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m.TotalSuccess++
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}
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if result.Error != nil {
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errorSet[result.Error.Error()] = struct{}{}
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}
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}
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m.MeanTiming = time.Duration(float64(m.TotalTiming) / float64(m.TotalRequests))
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m.MeanBytesOut = float64(m.TotalBytesOut) / float64(m.TotalRequests)
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m.MeanBytesIn = float64(m.TotalBytesIn) / float64(m.TotalRequests)
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m.MeanSuccess = float64(m.TotalSuccess) / float64(m.TotalRequests)
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m.Errors = make([]string, 0, len(errorSet))
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for err, _ := range errorSet {
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m.Errors = append(m.Errors, err)
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}
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return m
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}
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54
lib/metrics_test.go
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54
lib/metrics_test.go
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@@ -0,0 +1,54 @@
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package vegeta
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import (
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"errors"
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"testing"
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"time"
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)
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func TestNewMetrics(t *testing.T) {
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m := NewMetrics([]Result{
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Result{500, time.Now(), 100 * time.Millisecond, 10, 30, errors.New("Internal server error")},
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Result{200, time.Now(), 20 * time.Millisecond, 20, 20, nil},
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Result{200, time.Now(), 30 * time.Millisecond, 30, 10, nil},
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})
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for field, values := range map[string][]float64{
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"MeanBytesIn": []float64{m.MeanBytesIn, 20.0},
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"MeanBytesOut": []float64{m.MeanBytesOut, 20.0},
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"MeanSuccess": []float64{m.MeanSuccess, 0.6666666666666666},
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} {
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if values[0] != values[1] {
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t.Errorf("%s: want: %f, got: %f", field, values[1], values[0])
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}
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}
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for field, values := range map[string][]time.Duration{
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"TotalTiming": []time.Duration{m.TotalTiming, 150 * time.Millisecond},
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"MeanTiming": []time.Duration{m.MeanTiming, 50 * time.Millisecond},
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} {
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if values[0] != values[1] {
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t.Errorf("%s: want: %s, got: %s", field, values[1], values[0])
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}
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}
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for field, values := range map[string][]uint64{
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"TotalSuccess": []uint64{m.TotalSuccess, 2},
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"TotalBytesOut": []uint64{m.TotalBytesOut, 60},
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"TotalRequests": []uint64{m.TotalRequests, 3},
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"TotalBytesIn": []uint64{m.TotalBytesIn, 60},
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} {
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if values[0] != values[1] {
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t.Errorf("%s: want: %d, got: %d", field, values[1], values[0])
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}
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}
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if len(m.StatusCodes) != 2 || m.StatusCodes[200] != 2 || m.StatusCodes[500] != 1 {
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t.Errorf("StatusCodes: want: %v, got: %v", map[int]int{200: 2, 500: 1}, m.StatusCodes)
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}
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err := "Internal server error"
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if len(m.Errors) != 1 || m.Errors[0] != err {
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t.Errorf("Errors: want: %v, got: %v", []string{err}, m.Errors)
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}
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}
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@@ -9,7 +9,6 @@ import (
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"fmt"
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"io"
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"text/tabwriter"
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"time"
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)
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// Reporter represents any function which takes a slice of Results and
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@@ -17,51 +16,25 @@ import (
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// in case of failure
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type Reporter func([]Result, io.Writer) error
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// ReportText computes and prints some metrics out of results
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// as formatted text. Metrics include avg time per request, success ratio,
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// total number of request, avg bytes in and avg bytes out.
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// ReportText writes a computed Metrics struct to out as aligned, formatted text
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func ReportText(results []Result, out io.Writer) error {
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totalRequests := float64(len(results))
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totalTime := time.Duration(0)
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totalBytesOut := uint64(0)
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totalBytesIn := uint64(0)
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totalSuccess := uint64(0)
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histogram := map[uint16]uint64{}
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errors := map[string]struct{}{}
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for _, res := range results {
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histogram[res.Code]++
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totalTime += res.Timing
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totalBytesOut += res.BytesOut
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totalBytesIn += res.BytesIn
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if res.Code >= 200 && res.Code < 300 {
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totalSuccess++
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}
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if res.Error != nil {
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errors[res.Error.Error()] = struct{}{}
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}
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}
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avgTime := time.Duration(float64(totalTime) / totalRequests)
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avgBytesOut := float64(totalBytesOut) / totalRequests
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avgBytesIn := float64(totalBytesIn) / totalRequests
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avgSuccess := float64(totalSuccess) / totalRequests
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m := NewMetrics(results)
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w := tabwriter.NewWriter(out, 0, 8, 2, '\t', tabwriter.StripEscape)
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fmt.Fprintf(w, "Time(avg)\tRequests\tSuccess\tBytes(rx/tx)\n")
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fmt.Fprintf(w, "%s\t%d\t%.2f%%\t%.2f/%.2f\n", avgTime, int(totalRequests), avgSuccess*100, avgBytesIn, avgBytesOut)
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fmt.Fprintf(w, "%s\t%d\t%.2f%%\t%.2f/%.2f\n", m.MeanTiming, m.TotalRequests, m.MeanSuccess*100, m.MeanBytesIn, m.MeanBytesOut)
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fmt.Fprintf(w, "\nCount:\t")
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for _, count := range histogram {
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for _, count := range m.StatusCodes {
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fmt.Fprintf(w, "%d\t", count)
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}
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fmt.Fprintf(w, "\nStatus:\t")
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for code := range histogram {
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for code := range m.StatusCodes {
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fmt.Fprintf(w, "%d\t", code)
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}
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fmt.Fprintln(w, "\n\nError Set:")
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for err := range errors {
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for err := range m.Errors {
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fmt.Fprintln(w, err)
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}
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