Measure message travel time

Issue-ID: DCAEGEN2-1654
Signed-off-by: Izabela Zawadzka <izabela.zawadzka@nokia.com>
Change-Id: Ifd6597209c5be51d5b4ff5faf7b3b1b1a2871403

6 files changed, 284 insertions, 152 deletions

diff --git a/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/OffsetKafkaConsumer.kt b/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/OffsetKafkaConsumer.kt
new file mode 100644
index 00000000..d105c4a7
--- /dev/null
+++ b/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/OffsetKafkaConsumer.kt
@@ -0,0 +1,63 @@
+/*
+ * ============LICENSE_START=======================================================
+ * dcaegen2-collectors-veshv
+ * ================================================================================
+ * Copyright (C) 2019 NOKIA
+ * ================================================================================
+ * 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.
+ * ============LICENSE_END=========================================================
+ */
+package org.onap.dcae.collectors.veshv.kafkaconsumer.impl
+
+import kotlinx.coroutines.CoroutineDispatcher
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.GlobalScope
+import kotlinx.coroutines.Job
+import kotlinx.coroutines.delay
+import kotlinx.coroutines.isActive
+import kotlinx.coroutines.launch
+import org.apache.kafka.clients.consumer.KafkaConsumer
+import org.apache.kafka.common.TopicPartition
+import org.onap.dcae.collectors.veshv.kafkaconsumer.metrics.Metrics
+import org.onap.dcae.collectors.veshv.utils.logging.Logger
+
+internal class OffsetKafkaConsumer(private val kafkaConsumer: KafkaConsumer<ByteArray, ByteArray>,
+                                   private val topics: Set<String>,
+                                   private val metrics: Metrics,
+                                   private val dispatcher: CoroutineDispatcher = Dispatchers.IO) {
+
+    suspend fun start(updateInterval: Long = 500L): Job =
+            GlobalScope.launch(dispatcher) {
+                kafkaConsumer.subscribe(topics)
+                    val topicPartitions = kafkaConsumer.assignment()
+                    while (isActive) {
+                        kafkaConsumer.endOffsets(topicPartitions)
+                                .forEach { (topicPartition, offset) ->
+                                    update(topicPartition, offset)
+                                }
+                        kafkaConsumer.commitSync()
+                        delay(updateInterval)
+                    }
+            }
+
+    private fun update(topicPartition: TopicPartition, offset: Long) {
+        logger.trace {
+            "Current consumer offset $offset for topic partition $topicPartition"
+        }
+        metrics.notifyOffsetChanged(offset, topicPartition)
+    }
+
+    companion object {
+        val logger = Logger(OffsetKafkaConsumer::class)
+    }
+}
diff --git a/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/KafkaSource.kt b/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/ProcessingKafkaConsumer.kt
index dd24345d..f47a66d0 100644
--- a/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/KafkaSource.kt
+++ b/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/ProcessingKafkaConsumer.kt
@@ -19,6 +19,7 @@
  */
 package org.onap.dcae.collectors.veshv.kafkaconsumer.impl
 
+
 import kotlinx.coroutines.CoroutineDispatcher
 import kotlinx.coroutines.Dispatchers
 import kotlinx.coroutines.GlobalScope
@@ -26,23 +27,30 @@ import kotlinx.coroutines.Job
 import kotlinx.coroutines.delay
 import kotlinx.coroutines.isActive
 import kotlinx.coroutines.launch
+import org.apache.kafka.clients.consumer.ConsumerRecord
 import org.apache.kafka.clients.consumer.KafkaConsumer
-import org.onap.dcae.collectors.veshv.kafkaconsumer.state.OffsetConsumer
+import org.onap.dcae.collectors.veshv.kafkaconsumer.metrics.Metrics
+import org.onap.dcae.collectors.veshv.utils.logging.Logger
+import org.onap.ves.VesEventOuterClass
+import java.time.Duration
+
+internal class ProcessingKafkaConsumer (private val kafkaConsumer: KafkaConsumer<ByteArray, ByteArray>,
+                                        private val topics: Set<String>,
+                                        private val metrics: Metrics,
+                                        private val dispatcher: CoroutineDispatcher = Dispatchers.IO){
 
-internal class KafkaSource(private val kafkaConsumer: KafkaConsumer<ByteArray, ByteArray>,
-                           private val topics: Set<String>,
-                           private val dispatcher: CoroutineDispatcher = Dispatchers.IO) {
-    suspend fun start(offsetConsumer: OffsetConsumer, updateInterval: Long = 500L): Job =
-            GlobalScope.launch(dispatcher) {
+    suspend fun start(updateInterval: Long = 500L, timeout: Duration): Job =
+            GlobalScope.launch(dispatcher){
                 kafkaConsumer.subscribe(topics)
-                val topicPartitions = kafkaConsumer.assignment()
-                while (isActive) {
-                    kafkaConsumer.endOffsets(topicPartitions)
-                            .forEach { (topicPartition, offset) ->
-                                offsetConsumer.update(topicPartition, offset)
-                            }
+                while (isActive){
+                    kafkaConsumer.poll(timeout).forEach(::update)
                     kafkaConsumer.commitSync()
                     delay(updateInterval)
                 }
             }
+
+    private fun update(record: ConsumerRecord<ByteArray, ByteArray>) {
+        val vesEvent = VesEventOuterClass.VesEvent.parseFrom(record.value())
+        metrics.notifyMessageTravelTime(vesEvent.commonEventHeader.lastEpochMicrosec)
+    }
 }
diff --git a/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/state/OffsetConsumer.kt b/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/state/OffsetConsumer.kt
deleted file mode 100644
index 57a5f33f..00000000
--- a/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/state/OffsetConsumer.kt
+++ /dev/null
@@ -1,39 +0,0 @@
-/*
- * ============LICENSE_START=======================================================
- * dcaegen2-collectors-veshv
- * ================================================================================
- * Copyright (C) 2019 NOKIA
- * ================================================================================
- * 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.
- * ============LICENSE_END=========================================================
- */
-package org.onap.dcae.collectors.veshv.kafkaconsumer.state
-
-import org.apache.kafka.common.TopicPartition
-import org.onap.dcae.collectors.veshv.kafkaconsumer.metrics.Metrics
-import org.onap.dcae.collectors.veshv.utils.logging.Logger
-
-
-internal class OffsetConsumer(private val metrics: Metrics) {
-
-    fun update(topicPartition: TopicPartition, offset: Long) {
-        logger.trace {
-            "Current consumer offset $offset for topic partition $topicPartition"
-        }
-        metrics.notifyOffsetChanged(offset, topicPartition)
-    }
-
-    companion object {
-        val logger = Logger(OffsetConsumer::class)
-    }
-}
diff --git a/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/KafkaSourceTest.kt b/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/OffsetKafkaConsumerTest.kt
index b0eb7a52..3bb9ebae 100644
--- a/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/KafkaSourceTest.kt
+++ b/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/OffsetKafkaConsumerTest.kt
@@ -19,16 +19,15 @@
  */
 package org.onap.dcae.collectors.veshv.kafkaconsumer.impl
 
-import com.nhaarman.mockitokotlin2.argumentCaptor
-import com.nhaarman.mockitokotlin2.mock
-import com.nhaarman.mockitokotlin2.times
-import com.nhaarman.mockitokotlin2.verify
-import com.nhaarman.mockitokotlin2.verifyZeroInteractions
-import com.nhaarman.mockitokotlin2.whenever
+import com.nhaarman.mockitokotlin2.*
+import kotlinx.coroutines.CoroutineScope
+import kotlinx.coroutines.Dispatchers
 import kotlinx.coroutines.ExperimentalCoroutinesApi
 import kotlinx.coroutines.cancelAndJoin
 import kotlinx.coroutines.test.TestCoroutineDispatcher
+import kotlinx.coroutines.test.resetMain
 import kotlinx.coroutines.test.runBlockingTest
+import kotlinx.coroutines.test.setMain
 import org.apache.kafka.clients.consumer.KafkaConsumer
 import org.apache.kafka.common.TopicPartition
 import org.assertj.core.api.Assertions.assertThat
@@ -36,52 +35,57 @@ import org.jetbrains.spek.api.Spek
 import org.jetbrains.spek.api.dsl.given
 import org.jetbrains.spek.api.dsl.it
 import org.jetbrains.spek.api.dsl.on
-import org.onap.dcae.collectors.veshv.kafkaconsumer.state.OffsetConsumer
+import org.onap.dcae.collectors.veshv.kafkaconsumer.metrics.Metrics
 
 @ExperimentalCoroutinesApi
-object KafkaSourceTest : Spek({
-    given("KafkaSource") {
+object OffsetKafkaConsumerTest : Spek({
+    given("OffsetKafkaConsumer") {
         val testDispatcher = TestCoroutineDispatcher()
         val mockedKafkaConsumer = mock<KafkaConsumer<ByteArray, ByteArray>>()
+        val mockedMetrics = mock<Metrics>()
+
         afterEachTest {
             testDispatcher.cleanupTestCoroutines()
+            reset(mockedMetrics)
         }
+
         given("single topicName and partition") {
-            val topics = setOf("topicName")
-            val kafkaSource = KafkaSource(mockedKafkaConsumer, topics, testDispatcher)
-            val mockedOffsetConsumer = mock<OffsetConsumer>()
-            on("started KafkaSource") {
-                val topicPartition = createTopicPartition("topicName")
+            val topicName = "topicName"
+            val topics = setOf(topicName)
+            val offsetKafkaConsumer = OffsetKafkaConsumer(mockedKafkaConsumer, topics, mockedMetrics, testDispatcher)
+
+            on("started OffsetKafkaConsumer") {
+                val topicPartition = createTopicPartition(topicName)
                 val topicPartitions = setOf(topicPartition)
                 whenever(mockedKafkaConsumer.assignment()).thenReturn(topicPartitions)
                 whenever(mockedKafkaConsumer.endOffsets(topicPartitions))
                         .thenReturn(mapOf<TopicPartition, Long>(topicPartition to newOffset))
 
-                runBlockingTest {
-                    val job = kafkaSource.start(mockedOffsetConsumer, updateIntervalInMs)
+                runBlockingTest(testDispatcher) {
+                    val job = offsetKafkaConsumer.start(updateIntervalInMs)
                     job.cancelAndJoin()
                 }
 
-                it("should call update function on topicName") {
-                    verify(mockedOffsetConsumer).update(topicPartition, newOffset)
+                it("should notify offset changed with $topicName") {
+                    verify(mockedMetrics).notifyOffsetChanged(newOffset, topicPartition)
                 }
             }
         }
 
         given("two topics with partition") {
             val topics = setOf(topicName1, topicName2)
-            val kafkaSource = KafkaSource(mockedKafkaConsumer, topics, testDispatcher)
-            val mockedOffsetConsumer = mock<OffsetConsumer>()
+            val kafkaSource = OffsetKafkaConsumer(mockedKafkaConsumer, topics, mockedMetrics, testDispatcher)
 
-            on("started KafkaSource for two iteration of while loop") {
-                val topicPartitionArgumentCaptor = argumentCaptor<TopicPartition>()
+            on("started OffsetKafkaConsumer for two iteration of while loop") {
                 val offsetArgumentCaptor = argumentCaptor<Long>()
-                val topicPartitionArgumentCaptorAfterInterval = argumentCaptor<TopicPartition>()
-                val offsetArgumentCaptorAfterInterval = argumentCaptor<Long>()
+                val topicPartitionArgumentCaptor = argumentCaptor<TopicPartition>()
+
                 val topicPartition1 = createTopicPartition(topicName1)
                 val topicPartition2 = createTopicPartition(topicName2)
                 val topicPartitions = setOf(topicPartition1, topicPartition2)
+
                 whenever(mockedKafkaConsumer.assignment()).thenReturn(topicPartitions)
+
                 val partitionToOffset1 =
                         mapOf(topicPartition1 to newOffset,
                                 topicPartition2 to anotherNewOffset)
@@ -91,37 +95,56 @@ object KafkaSourceTest : Spek({
                 whenever(mockedKafkaConsumer.endOffsets(topicPartitions))
                         .thenReturn(partitionToOffset1, partitionToOffset2)
 
-                runBlockingTest {
-                    val job = kafkaSource.start(mockedOffsetConsumer, updateIntervalInMs)
-                    verify(mockedOffsetConsumer, times(topicsAmount)).update(topicPartitionArgumentCaptor.capture(),
-                            offsetArgumentCaptor.capture())
+                runBlockingTest(testDispatcher) {
+                    val job = kafkaSource.start(updateIntervalInMs)
+                    verify(mockedMetrics, times(topicsAmount)).notifyOffsetChanged(
+                            offsetArgumentCaptor.capture(),
+                            topicPartitionArgumentCaptor.capture()
+                    )
 
-                    testDispatcher.advanceTimeBy(updateIntervalInMs)
-
-                    verify(mockedOffsetConsumer, times(topicsAmountAfterInterval))
-                            .update(topicPartitionArgumentCaptorAfterInterval.capture(), offsetArgumentCaptorAfterInterval.capture())
-
-                    it("should calls update function with proper arguments - before interval") {
-                        assertThat(topicPartitionArgumentCaptor.firstValue).isEqualTo(topicPartition1)
+                    it("should notify offset changed with proper arguments - before interval"){
                         assertThat(offsetArgumentCaptor.firstValue).isEqualTo(newOffset)
-                        assertThat(topicPartitionArgumentCaptor.secondValue).isEqualTo(topicPartition2)
+                        assertThat(topicPartitionArgumentCaptor.firstValue.topic())
+                                .isEqualToIgnoringCase(topicPartition1.topic())
+                        assertThat(topicPartitionArgumentCaptor.firstValue.partition())
+                                .isEqualTo(topicPartition1.partition())
+
                         assertThat(offsetArgumentCaptor.secondValue).isEqualTo(anotherNewOffset)
+                        assertThat(topicPartitionArgumentCaptor.secondValue.topic())
+                                .isEqualToIgnoringCase(topicPartition2.topic())
+                        assertThat(topicPartitionArgumentCaptor.secondValue.partition())
+                                .isEqualTo(topicPartition2.partition())
                     }
-                    it("should calls update function with proper arguments - after interval") {
-                        assertThat(topicPartitionArgumentCaptorAfterInterval.thirdValue).isEqualTo(topicPartition1)
-                        assertThat(offsetArgumentCaptorAfterInterval.thirdValue).isEqualTo(anotherNewOffset)
-                        assertThat(topicPartitionArgumentCaptorAfterInterval.lastValue).isEqualTo(topicPartition2)
-                        assertThat(offsetArgumentCaptorAfterInterval.lastValue).isEqualTo(newOffset)
-                    }
+                    reset(mockedMetrics)
+                    advanceTimeBy(updateIntervalInMs)
+
                     job.cancelAndJoin()
+
+                    verify(mockedMetrics, times(topicsAmount)).notifyOffsetChanged(
+                            offsetArgumentCaptor.capture(),
+                            topicPartitionArgumentCaptor.capture()
+                    )
+
+                    it("should notify offset changed with proper arguments - after interval") {
+                        assertThat(offsetArgumentCaptor.thirdValue).isEqualTo(anotherNewOffset)
+                        assertThat(topicPartitionArgumentCaptor.thirdValue.topic())
+                                .isEqualToIgnoringCase(topicPartition1.topic())
+                        assertThat(topicPartitionArgumentCaptor.thirdValue.partition())
+                                .isEqualTo(topicPartition1.partition())
+
+                        assertThat(offsetArgumentCaptor.lastValue).isEqualTo(newOffset)
+                        assertThat(topicPartitionArgumentCaptor.lastValue.topic())
+                                .isEqualToIgnoringCase(topicPartition2.topic())
+                        assertThat(topicPartitionArgumentCaptor.lastValue.partition())
+                                .isEqualTo(topicPartition2.partition())
+                    }
                 }
             }
         }
 
         given("empty topicName list") {
             val emptyTopics = emptySet<String>()
-            val kafkaSource = KafkaSource(mockedKafkaConsumer, emptyTopics, testDispatcher)
-            val mockedOffsetConsumer = mock<OffsetConsumer>()
+            val offsetKafkaConsumer = OffsetKafkaConsumer(mockedKafkaConsumer, emptyTopics, mockedMetrics, testDispatcher)
 
             on("call of function start") {
                 val emptyTopicPartitions = setOf(null)
@@ -129,13 +152,13 @@ object KafkaSourceTest : Spek({
                 whenever(mockedKafkaConsumer.endOffsets(emptyTopicPartitions))
                         .thenReturn(emptyMap())
 
-                runBlockingTest {
-                    val job = kafkaSource.start(mockedOffsetConsumer, updateIntervalInMs)
+                runBlockingTest(testDispatcher) {
+                    val job = offsetKafkaConsumer.start(updateIntervalInMs)
                     job.cancelAndJoin()
                 }
 
-                it("should not interact with OffsetConsumer") {
-                    verifyZeroInteractions(mockedOffsetConsumer)
+                it("should not interact with metrics") {
+                    verifyZeroInteractions(mockedMetrics)
                 }
             }
         }
@@ -150,5 +173,4 @@ private const val anotherNewOffset = 10L
 private const val topicName1 = "topicName1"
 private const val topicName2 = "topicName2"
 private const val topicsAmount = 2
-private const val topicsAmountAfterInterval = 4
 fun createTopicPartition(topic: String) = TopicPartition(topic, partitionNumber)
\ No newline at end of file
diff --git a/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/ProcessingKafkaConsumerTest.kt b/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/ProcessingKafkaConsumerTest.kt
new file mode 100644
index 00000000..5e445516
--- /dev/null
+++ b/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/impl/ProcessingKafkaConsumerTest.kt
@@ -0,0 +1,130 @@
+/*
+ * ============LICENSE_START=======================================================
+ * dcaegen2-collectors-veshv
+ * ================================================================================
+ * Copyright (C) 2019 NOKIA
+ * ================================================================================
+ * 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.
+ * ============LICENSE_END=========================================================
+ */
+
+package org.onap.dcae.collectors.veshv.kafkaconsumer.impl
+
+import com.nhaarman.mockitokotlin2.*
+import kotlinx.coroutines.ExperimentalCoroutinesApi
+import kotlinx.coroutines.cancelAndJoin
+import kotlinx.coroutines.test.TestCoroutineDispatcher
+import kotlinx.coroutines.test.runBlockingTest
+import org.apache.kafka.clients.consumer.ConsumerRecord
+import org.apache.kafka.clients.consumer.ConsumerRecords
+import org.apache.kafka.clients.consumer.KafkaConsumer
+import org.apache.kafka.common.TopicPartition
+import org.assertj.core.api.Assertions
+import org.jetbrains.spek.api.Spek
+import org.jetbrains.spek.api.dsl.given
+import org.jetbrains.spek.api.dsl.it
+import org.jetbrains.spek.api.dsl.on
+import org.onap.dcae.collectors.veshv.kafkaconsumer.metrics.Metrics
+import org.onap.dcae.collectors.veshv.tests.utils.commonHeader
+import org.onap.dcae.collectors.veshv.tests.utils.vesEvent
+import java.time.Duration
+
+@ExperimentalCoroutinesApi
+object ProcessingKafkaConsumerTest: Spek({
+    given("ProcessingKafkaConsumer") {
+        val testDispatcher = TestCoroutineDispatcher()
+        val mockedKafkaConsumer = mock<KafkaConsumer<ByteArray, ByteArray>>()
+        val mockedMetrics = mock<Metrics>()
+        val processingKafkaConsumer = ProcessingKafkaConsumer(mockedKafkaConsumer, topics, mockedMetrics, testDispatcher)
+
+        afterEachTest {
+            testDispatcher.cleanupTestCoroutines()
+            reset(mockedMetrics)
+        }
+
+        given("empty consumer records"){
+            on("started ProcessingKafkaConsumer") {
+                whenever(mockedKafkaConsumer.poll(pollTimeoutInMs)).thenReturn(ConsumerRecords.empty())
+                runBlockingTest(testDispatcher) {
+                    val job = processingKafkaConsumer.start(updateIntervalInMs, pollTimeoutInMs)
+                    job.cancelAndJoin()
+                }
+
+                it("should not interact with metrics") {
+                    verifyZeroInteractions(mockedMetrics)
+                }
+            }
+        }
+
+        given("single consumer record") {
+            on("started ProcessingKafkaConsumer") {
+                val record = mock<ConsumerRecord<ByteArray, ByteArray>>()
+                val records = ConsumerRecords(mapOf(
+                        topicPartition to listOf(record)
+                ))
+
+                whenever(mockedKafkaConsumer.poll(pollTimeoutInMs)).thenReturn(records)
+                whenever(record.value())
+                        .thenReturn(vesEvent( commonHeader(lastEpochMicrosec = messageSentTime)).toByteArray())
+
+                runBlockingTest(testDispatcher) {
+                    val job = processingKafkaConsumer.start(updateIntervalInMs,pollTimeoutInMs)
+                    job.cancelAndJoin()
+                }
+
+
+                it("should notify message travel time changed with correct sent time"){
+                    verify(mockedMetrics).notifyMessageTravelTime(messageSentTime)
+                }
+            }
+        }
+
+        given("multiple consumer records with partition"){
+            val sentTimeArgumentCaptor = argumentCaptor<Long>()
+
+            on("started ProcessingKafkaConsumer") {
+                val record1 = mock<ConsumerRecord<ByteArray, ByteArray>>()
+                val record2 = mock<ConsumerRecord<ByteArray, ByteArray>>()
+                val records = ConsumerRecords(mapOf(
+                        topicPartition to listOf(record1, record2)
+                ))
+
+                whenever(mockedKafkaConsumer.poll(pollTimeoutInMs)).thenReturn(records)
+                whenever(record1.value())
+                        .thenReturn(vesEvent( commonHeader(lastEpochMicrosec = messageSentTime)).toByteArray())
+                whenever(record2.value())
+                        .thenReturn(vesEvent( commonHeader(lastEpochMicrosec = anotherMessageSentTime)).toByteArray())
+
+                runBlockingTest(testDispatcher) {
+                    val job = processingKafkaConsumer.start(updateIntervalInMs,pollTimeoutInMs)
+
+                    verify(mockedMetrics, times(records.count())).notifyMessageTravelTime(sentTimeArgumentCaptor.capture())
+
+                    it("should notify message travel time changed twice with correct arguments"){
+                        Assertions.assertThat(sentTimeArgumentCaptor.firstValue).isEqualTo(messageSentTime)
+                        Assertions.assertThat(sentTimeArgumentCaptor.secondValue).isEqualTo(anotherMessageSentTime)
+                    }
+                    job.cancelAndJoin()
+                }
+            }
+        }
+    }
+})
+
+private const val updateIntervalInMs = 10L
+private const val messageSentTime = 1L
+private const val anotherMessageSentTime = 1L
+private const val topicName = "topicName"
+private val pollTimeoutInMs = Duration.ofMillis(5L)
+private val topics = setOf(topicName)
+private val topicPartition = TopicPartition(topicName, 0)
\ No newline at end of file
diff --git a/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/state/OffsetConsumerTest.kt b/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/state/OffsetConsumerTest.kt
deleted file mode 100644
index 5ccb483a..00000000
--- a/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/state/OffsetConsumerTest.kt
+++ /dev/null
@@ -1,52 +0,0 @@
-/*
- * ============LICENSE_START=======================================================
- * dcaegen2-collectors-veshv
- * ================================================================================
- * Copyright (C) 2019 NOKIA
- * ================================================================================
- * 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.
- * ============LICENSE_END=========================================================
- */
-package org.onap.dcae.collectors.veshv.kafkaconsumer.state
-
-import com.nhaarman.mockitokotlin2.mock
-import com.nhaarman.mockitokotlin2.verify
-import org.apache.kafka.common.TopicPartition
-import org.jetbrains.spek.api.Spek
-import org.jetbrains.spek.api.dsl.describe
-import org.jetbrains.spek.api.dsl.given
-import org.jetbrains.spek.api.dsl.it
-import org.jetbrains.spek.api.dsl.on
-import org.onap.dcae.collectors.veshv.kafkaconsumer.metrics.Metrics
-
-object OffsetConsumerTest : Spek({
-    describe("OffsetConsumer with metrics") {
-        val mockedMetrics = mock<Metrics>()
-        val offsetConsumer = OffsetConsumer(mockedMetrics)
-        given("topicName with partition"){
-            val topicPartition = TopicPartition(topicName, partitionNumber)
-
-            on("new update method call") {
-                offsetConsumer.update(topicPartition, newOffset)
-
-                it("should notify message newOffset metric") {
-                    verify(mockedMetrics).notifyOffsetChanged(newOffset, topicPartition)
-                }
-            }
-        }
-    }
-})
-
-private const val partitionNumber = 1
-private const val newOffset: Long = 99
-private const val topicName = "sample-topicName"