Merge pull request #195 from prometheus/refactor/processor002

Refactor processor for 0.0.2 schema

model/metric.go

@@ -34,6 +34,22 @@ const (
 // match.
 type LabelSet map[LabelName]LabelValue
 
+// Helper function to non-destructively merge two label sets.
+func (l LabelSet) Merge(other LabelSet) LabelSet {
+	result := make(LabelSet, len(l))
+
+	for k, v := range l {
+		result[k] = v
+	}
+
+	for k, v := range other {
+		result[k] = v
+	}
+
+	return result
+}
+
+
 func (l LabelSet) String() string {
 	var (
 		buffer     bytes.Buffer

retrieval/format/processor.go

@@ -26,3 +26,24 @@ type Processor interface {
 	// Process performs the work on the input and closes the incoming stream.
 	Process(stream io.ReadCloser, timestamp time.Time, baseLabels model.LabelSet, results chan Result) (err error)
 }
+
+// The ProcessorFunc type allows the use of ordinary functions for processors.
+type ProcessorFunc func(io.ReadCloser, time.Time, model.LabelSet, chan Result) error
+
+func (f ProcessorFunc) Process(stream io.ReadCloser, timestamp time.Time, baseLabels model.LabelSet, results chan Result) error {
+	return f(stream, timestamp, baseLabels, results)
+}
+
+// Helper function to convert map[string]string into model.LabelSet.
+//
+// NOTE: This should be deleted when support for go 1.0.3 is removed; 1.1 is
+//       smart enough to unmarshal JSON objects into model.LabelSet directly.
+func LabelSet(labels map[string]string) model.LabelSet {
+	labelset := make(model.LabelSet, len(labels))
+
+	for k, v := range labels {
+		labelset[model.LabelName(k)] = model.LabelValue(v)
+	}
+
+	return labelset
+}

retrieval/format/processor0_0_2.go

@@ -17,139 +17,97 @@ import (
 	"encoding/json"
 	"fmt"
 	"github.com/prometheus/prometheus/model"
-	"github.com/prometheus/prometheus/utility"
 	"io"
-	"io/ioutil"
 	"time"
 )
 
-const (
+// Processor for telemetry schema version 0.0.2.
-	baseLabels002 = "baseLabels"
+var Processor002 ProcessorFunc = func(stream io.ReadCloser, timestamp time.Time, baseLabels model.LabelSet, results chan Result) error {
-	counter002    = "counter"
+	// container for telemetry data
-	docstring002  = "docstring"
+	var entities []struct {
-	gauge002      = "gauge"
-	histogram002  = "histogram"
-	labels002     = "labels"
-	metric002     = "metric"
-	type002       = "type"
-	value002      = "value"
-	percentile002 = "percentile"
-)
-
-var (
-	Processor002 Processor = &processor002{}
-)
-
-// processor002 is responsible for handling API version 0.0.2.
-type processor002 struct {
-	time utility.Time
-}
-
-// entity002 represents a the JSON structure that 0.0.2 uses.
-type entity002 []struct {
 		BaseLabels map[string]string `json:"baseLabels"`
 		Docstring  string            `json:"docstring"`
 		Metric     struct {
-		MetricType string `json:"type"`
+			Type   string          `json:"type"`
-		Value      []struct {
+			Values json.RawMessage `json:"value"`
-			Labels map[string]string `json:"labels"`
-			Value  interface{}       `json:"value"`
-		} `json:"value"`
 		} `json:"metric"`
-}
+	}
+
+	// concrete type for histogram values
+	type histogram struct {
+		Labels map[string]string            `json:"labels"`
+		Values map[string]model.SampleValue `json:"value"`
+	}
+
+	// concrete type for counter and gauge values
+	type counter struct {
+		Labels map[string]string `json:"labels"`
+		Value  model.SampleValue `json:"value"`
+	}
 
-func (p *processor002) Process(stream io.ReadCloser, timestamp time.Time, baseLabels model.LabelSet, results chan Result) (err error) {
-	// TODO(matt): Replace with plain-jane JSON unmarshalling.
 	defer stream.Close()
 
-	buffer, err := ioutil.ReadAll(stream)
+	if err := json.NewDecoder(stream).Decode(&entities); err != nil {
-	if err != nil {
+		return err
-		return
 	}
 
-	entities := entity002{}
-
-	err = json.Unmarshal(buffer, &entities)
-	if err != nil {
-		return
-	}
-
-	// TODO(matt): This outer loop is a great basis for parallelization.
 	for _, entity := range entities {
-		for _, value := range entity.Metric.Value {
+		entityLabels := baseLabels.Merge(LabelSet(entity.BaseLabels))
-			metric := model.Metric{}
-			for label, labelValue := range baseLabels {
-				metric[label] = labelValue
-			}
 
-			for label, labelValue := range entity.BaseLabels {
+		switch entity.Metric.Type {
-				metric[model.LabelName(label)] = model.LabelValue(labelValue)
+		case "counter", "gauge":
-			}
+			var values []counter
 
-			for label, labelValue := range value.Labels {
+			if err := json.Unmarshal(entity.Metric.Values, &values); err != nil {
-				metric[model.LabelName(label)] = model.LabelValue(labelValue)
+				results <- Result{
+					Err: fmt.Errorf("Could not extract %s value: %s", entity.Metric.Type, err),
 				}
-
-			switch entity.Metric.MetricType {
-			case gauge002, counter002:
-				sampleValue, ok := value.Value.(float64)
-				if !ok {
-					err = fmt.Errorf("Could not convert value from %s %s to float64.", entity, value)
 				continue
 			}
 
-				sample := model.Sample{
+			for _, counter := range values {
-					Metric:    metric,
+				labels := entityLabels.Merge(LabelSet(counter.Labels))
-					Timestamp: timestamp,
-					Value:     model.SampleValue(sampleValue),
-				}
 
 				results <- Result{
-					Err:    err,
+					Sample: model.Sample{
-					Sample: sample,
+						Metric:    model.Metric(labels),
-				}
-
-				break
-
-			case histogram002:
-				sampleValue, ok := value.Value.(map[string]interface{})
-				if !ok {
-					err = fmt.Errorf("Could not convert value from %q to a map[string]interface{}.", value.Value)
-					continue
-				}
-
-				for percentile, percentileValue := range sampleValue {
-					individualValue, ok := percentileValue.(float64)
-					if !ok {
-						err = fmt.Errorf("Could not convert value from %q to a float64.", percentileValue)
-						continue
-					}
-
-					childMetric := make(map[model.LabelName]model.LabelValue, len(metric)+1)
-
-					for k, v := range metric {
-						childMetric[k] = v
-					}
-
-					childMetric[model.LabelName(percentile002)] = model.LabelValue(percentile)
-
-					sample := model.Sample{
-						Metric:    childMetric,
 						Timestamp: timestamp,
-						Value:     model.SampleValue(individualValue),
+						Value:     counter.Value,
+					},
 				}
+			}
+
+		case "histogram":
+			var values []histogram
+
+			if err := json.Unmarshal(entity.Metric.Values, &values); err != nil {
+				results <- Result{
+					Err: fmt.Errorf("Could not extract %s value: %s", entity.Metric.Type, err),
+				}
+				continue
+			}
+
+			for _, histogram := range values {
+				for percentile, value := range histogram.Values {
+					labels := entityLabels.Merge(LabelSet(histogram.Labels))
+					labels[model.LabelName("percentile")] = model.LabelValue(percentile)
 
 					results <- Result{
-						Err:    err,
+						Sample: model.Sample{
-						Sample: sample,
+							Metric:    model.Metric(labels),
+							Timestamp: timestamp,
+							Value:     value,
+						},
+					}
 				}
 			}
 
-				break
 		default:
+			results <- Result{
+				Err: fmt.Errorf("Unknown metric type %q", entity.Metric.Type),
 			}
 		}
 	}
 
-	return
+	return nil
 }

retrieval/format/processor0_0_2_test.go

@@ -31,10 +31,10 @@ func testProcessor002Process(t test.Tester) {
 		err error
 	}{
 		{
-			err: fmt.Errorf("unexpected end of JSON input"),
+			err: fmt.Errorf("EOF"),
 		},
 		{
-			in: "[{\"baseLabels\":{\"name\":\"rpc_calls_total\"},\"docstring\":\"RPC calls.\",\"metric\":{\"type\":\"counter\",\"value\":[{\"labels\":{\"service\":\"zed\"},\"value\":25},{\"labels\":{\"service\":\"bar\"},\"value\":25},{\"labels\":{\"service\":\"foo\"},\"value\":25}]}},{\"baseLabels\":{\"name\":\"rpc_latency_microseconds\"},\"docstring\":\"RPC latency.\",\"metric\":{\"type\":\"histogram\",\"value\":[{\"labels\":{\"service\":\"foo\"},\"value\":{\"0.010000\":15.890724674774395,\"0.050000\":15.890724674774395,\"0.500000\":84.63044031436561,\"0.900000\":160.21100853053224,\"0.990000\":172.49828748957728}},{\"labels\":{\"service\":\"zed\"},\"value\":{\"0.010000\":0.0459814091918713,\"0.050000\":0.0459814091918713,\"0.500000\":0.6120456642749681,\"0.900000\":1.355915069887731,\"0.990000\":1.772733213161236}},{\"labels\":{\"service\":\"bar\"},\"value\":{\"0.010000\":78.48563317257356,\"0.050000\":78.48563317257356,\"0.500000\":97.31798360385088,\"0.900000\":109.89202084295582,\"0.990000\":109.99626121011262}}]}}]",
+			in: `[{"baseLabels":{"name":"rpc_calls_total"},"docstring":"RPC calls.","metric":{"type":"counter","value":[{"labels":{"service":"zed"},"value":25},{"labels":{"service":"bar"},"value":25},{"labels":{"service":"foo"},"value":25}]}},{"baseLabels":{"name":"rpc_latency_microseconds"},"docstring":"RPC latency.","metric":{"type":"histogram","value":[{"labels":{"service":"foo"},"value":{"0.010000":15.890724674774395,"0.050000":15.890724674774395,"0.500000":84.63044031436561,"0.900000":160.21100853053224,"0.990000":172.49828748957728}},{"labels":{"service":"zed"},"value":{"0.010000":0.0459814091918713,"0.050000":0.0459814091918713,"0.500000":0.6120456642749681,"0.900000":1.355915069887731,"0.990000":1.772733213161236}},{"labels":{"service":"bar"},"value":{"0.010000":78.48563317257356,"0.050000":78.48563317257356,"0.500000":97.31798360385088,"0.900000":109.89202084295582,"0.990000":109.99626121011262}}]}}]`,
 			out: []Result{
 				{
 					Sample: model.Sample{
@@ -179,14 +179,6 @@ func testProcessor002Process(t test.Tester) {
 			continue
 		}
 
-		if scenario.err != nil && err != nil {
-			if scenario.err.Error() != err.Error() {
-				t.Errorf("%d. expected err of %s, got %s", i, scenario.err, err)
-			}
-		} else if scenario.err != err {
-			t.Errorf("%d. expected err of %s, got %s", i, scenario.err, err)
-		}
-
 		delivered := make([]Result, 0)
 
 		for len(inputChannel) != 0 {