1 files changed, 83 insertions, 0 deletions
diff --git a/vnfs/DAaaS/microservices/prom-kafka-writer/pkg/kafkawriter/producer.go b/vnfs/DAaaS/microservices/prom-kafka-writer/pkg/kafkawriter/producer.go
new file mode 100644
index 00000000..42804321
--- /dev/null
+++ b/vnfs/DAaaS/microservices/prom-kafka-writer/pkg/kafkawriter/producer.go
@@ -0,0 +1,83 @@
+/*
+ *
+ * Copyright 2019 Intel Corporation.
+ * 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 kafkawriter
+
+import (
+	"encoding/json"
+	"github.com/prometheus/common/model"
+	"github.com/prometheus/prometheus/prompb"
+	"gopkg.in/confluentinc/confluent-kafka-go.v1/kafka"
+	logger "prom-kafka-writer/pkg/config"
+)
+
+var log = logger.GetLoggerInstance()
+
+func PublishTimeSeries(kwid string, metrics *prompb.WriteRequest) error {
+	log.Debugw("Remote write Time Series", "length", len(metrics.Timeseries), "TimeSeries", metrics.Timeseries)
+	for _, ts := range metrics.Timeseries {
+		m := make(model.Metric, len(ts.Labels))
+		for _, l := range ts.Labels {
+			m[model.LabelName(l.Name)] = model.LabelValue(l.Value)
+		}
+		log.Debugw("Labels", "Labelset", m)
+
+		for _, s := range ts.Samples {
+			log.Debugf("  %f %d\n", s.Value, s.Timestamp)
+			metric := map[string]interface{}{
+				"name":      m["__name__"],
+				"labels":    m,
+				"timestamp": s.Timestamp,
+				"value":     s.Value,
+			}
+			key := string(m["__name__"])
+			jsonMetric, err := json.Marshal(metric)
+			if err != nil {
+				log.Errorw("Marshal error", "error", err.Error())
+				continue
+			}
+			err = publish(kwid, key, jsonMetric)
+			if err != nil {
+				log.Error("Failed to produce message")
+				return err
+			}
+		}
+	}
+	return nil
+}
+
+func publish(kwid string, key string, jsonMetric []byte) error {
+	var (
+		kwp = KWMap[kwid].Producer
+		kwc = KWMap[kwid].Config
+	)
+
+	tp := getTopicPartition(kwc)
+	kwMsg := kafka.Message{TopicPartition: tp, Key: []byte(key), Value: jsonMetric}
+	err := kwp.Produce(&kwMsg, nil)
+	if err != nil {
+		log.Errorw("Kafka Producer Error", "error", err.Error())
+	}
+	return err
+}
+
+func getTopicPartition(kwc KWConfig) kafka.TopicPartition {
+	p := kafka.PartitionAny
+	if kwc.UsePartition {
+		// TODO: Implement partition strategy
+		p = kafka.PartitionAny
+	}
+	return kafka.TopicPartition{Topic: &kwc.Topic, Partition: p}
+}