Merge branch 'feat/188-cttc-new-analytics-component' into 'develop'

(CTTC) New Analytics Component

See merge request !261

.gitignore

@@ -176,3 +176,6 @@ libyang/
 
 # Other logs
 **/logs/*.log.*
+
+# PySpark checkpoints
+src/analytics/.spark/*

deploy/all.sh

@@ -33,7 +33,7 @@ export TFS_COMPONENTS=${TFS_COMPONENTS:-"context device pathcomp service slice n
 #export TFS_COMPONENTS="${TFS_COMPONENTS} monitoring"
 
 # Uncomment to activate Monitoring Framework (new)
-#export TFS_COMPONENTS="${TFS_COMPONENTS} kpi_manager kpi_value_writer kpi_value_api"
+#export TFS_COMPONENTS="${TFS_COMPONENTS} kpi_manager kpi_value_writer kpi_value_api telemetry analytics"
 
 # Uncomment to activate BGP-LS Speaker
 #export TFS_COMPONENTS="${TFS_COMPONENTS} bgpls_speaker"

deploy/tfs.sh

@@ -182,7 +182,19 @@ kubectl create secret generic crdb-telemetry --namespace ${TFS_K8S_NAMESPACE} --
     --from-literal=CRDB_SSLMODE=require
 printf "\n"
 
-echo "Create secret with Apache Kafka data for KPI and Telemetry microservices"
+echo "Create secret with CockroachDB data for Analytics microservices"
+CRDB_SQL_PORT=$(kubectl --namespace ${CRDB_NAMESPACE} get service cockroachdb-public -o 'jsonpath={.spec.ports[?(@.name=="sql")].port}')
+CRDB_DATABASE_ANALYTICS="tfs_analytics"  # TODO: change by specific configurable environment variable
+kubectl create secret generic crdb-analytics --namespace ${TFS_K8S_NAMESPACE} --type='Opaque' \
+    --from-literal=CRDB_NAMESPACE=${CRDB_NAMESPACE} \
+    --from-literal=CRDB_SQL_PORT=${CRDB_SQL_PORT} \
+    --from-literal=CRDB_DATABASE=${CRDB_DATABASE_ANALYTICS} \
+    --from-literal=CRDB_USERNAME=${CRDB_USERNAME} \
+    --from-literal=CRDB_PASSWORD=${CRDB_PASSWORD} \
+    --from-literal=CRDB_SSLMODE=require
+printf "\n"
+
+echo "Create secret with Apache Kafka data for KPI, Telemetry and Analytics microservices"
 KFK_SERVER_PORT=$(kubectl --namespace ${KFK_NAMESPACE} get service kafka-service -o 'jsonpath={.spec.ports[0].port}')
 kubectl create secret generic kfk-kpi-data --namespace ${TFS_K8S_NAMESPACE} --type='Opaque' \
     --from-literal=KFK_NAMESPACE=${KFK_NAMESPACE} \
@@ -264,7 +276,7 @@ for COMPONENT in $TFS_COMPONENTS; do
 
         if [ "$COMPONENT" == "ztp" ] || [ "$COMPONENT" == "policy" ]; then
             $DOCKER_BUILD -t "$COMPONENT:$TFS_IMAGE_TAG" -f ./src/"$COMPONENT"/Dockerfile ./src/"$COMPONENT"/ > "$BUILD_LOG"
-        elif [ "$COMPONENT" == "pathcomp" ] || [ "$COMPONENT" == "telemetry" ]; then
+        elif [ "$COMPONENT" == "pathcomp" ] || [ "$COMPONENT" == "telemetry" ] || [ "$COMPONENT" == "analytics" ]; then
             BUILD_LOG="$TMP_LOGS_FOLDER/build_${COMPONENT}-frontend.log"
             $DOCKER_BUILD -t "$COMPONENT-frontend:$TFS_IMAGE_TAG" -f ./src/"$COMPONENT"/frontend/Dockerfile . > "$BUILD_LOG"
 
@@ -287,7 +299,7 @@ for COMPONENT in $TFS_COMPONENTS; do
 
         echo "  Pushing Docker image to '$TFS_REGISTRY_IMAGES'..."
 
-        if [ "$COMPONENT" == "pathcomp" ] || [ "$COMPONENT" == "telemetry" ]; then
+        if [ "$COMPONENT" == "pathcomp" ] || [ "$COMPONENT" == "telemetry" ] || [ "$COMPONENT" == "analytics" ] ; then
             IMAGE_URL=$(echo "$TFS_REGISTRY_IMAGES/$COMPONENT-frontend:$TFS_IMAGE_TAG" | sed 's,//,/,g' | sed 's,http:/,,g')
 
             TAG_LOG="$TMP_LOGS_FOLDER/tag_${COMPONENT}-frontend.log"
@@ -338,7 +350,7 @@ for COMPONENT in $TFS_COMPONENTS; do
         cp ./manifests/"${COMPONENT}"service.yaml "$MANIFEST"
     fi
 
-    if [ "$COMPONENT" == "pathcomp" ] || [ "$COMPONENT" == "telemetry" ]; then
+    if [ "$COMPONENT" == "pathcomp" ] || [ "$COMPONENT" == "telemetry" ] || [ "$COMPONENT" == "analytics" ]; then
         IMAGE_URL=$(echo "$TFS_REGISTRY_IMAGES/$COMPONENT-frontend:$TFS_IMAGE_TAG" | sed 's,//,/,g' | sed 's,http:/,,g')
         VERSION=$(grep -i "${GITLAB_REPO_URL}/${COMPONENT}-frontend:" "$MANIFEST" | cut -d ":" -f4)
         sed -E -i "s#image: $GITLAB_REPO_URL/$COMPONENT-frontend:${VERSION}#image: $IMAGE_URL#g" "$MANIFEST"

manifests/analyticsservice.yaml

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: analyticsservice
+spec:
+  selector:
+    matchLabels:
+      app: analyticsservice
+  #replicas: 1
+  template:
+    metadata:
+      labels:
+        app: analyticsservice
+    spec:
+      terminationGracePeriodSeconds: 5
+      containers:
+        - name: frontend
+          image: labs.etsi.org:5050/tfs/controller/analytics-frontend:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 30080
+            - containerPort: 9192
+          env:
+            - name: LOG_LEVEL
+              value: "INFO"
+          envFrom:
+            - secretRef:
+                name: crdb-analytics
+            - secretRef:
+                name: kfk-kpi-data
+          readinessProbe:
+            exec:
+              command: ["/bin/grpc_health_probe", "-addr=:30080"]
+          livenessProbe:
+            exec:
+              command: ["/bin/grpc_health_probe", "-addr=:30080"]
+          resources:
+            requests:
+              cpu: 250m
+              memory: 128Mi
+            limits:
+              cpu: 1000m
+              memory: 1024Mi
+        - name: backend
+          image: labs.etsi.org:5050/tfs/controller/analytics-backend:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 30090
+            - containerPort: 9192
+          env:
+            - name: LOG_LEVEL
+              value: "INFO"
+          envFrom:
+            - secretRef:
+                name: kfk-kpi-data
+          readinessProbe:
+            exec:
+              command: ["/bin/grpc_health_probe", "-addr=:30090"]
+          livenessProbe:
+            exec:
+              command: ["/bin/grpc_health_probe", "-addr=:30090"]
+          resources:
+            requests:
+              cpu: 250m
+              memory: 128Mi
+            limits:
+              cpu: 1000m
+              memory: 1024Mi
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: analyticsservice
+  labels:
+    app: analyticsservice
+spec:
+  type: ClusterIP
+  selector:
+    app: analyticsservice
+  ports:
+    - name: frontend-grpc
+      protocol: TCP
+      port: 30080
+      targetPort: 30080
+    - name: backend-grpc
+      protocol: TCP
+      port: 30090
+      targetPort: 30090
+    - name: metrics
+      protocol: TCP
+      port: 9192
+      targetPort: 9192
+---
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+  name: analyticsservice-hpa
+spec:
+  scaleTargetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: analyticsservice
+  minReplicas: 1
+  maxReplicas: 20
+  metrics:
+    - type: Resource
+      resource:
+        name: cpu
+        target:
+          type: Utilization
+          averageUtilization: 80
+  #behavior:
+  #  scaleDown:
+  #    stabilizationWindowSeconds: 30

manifests/kafka/02-kafka.yaml

@@ -53,9 +53,9 @@ spec:
         - name: KAFKA_LISTENERS
           value: PLAINTEXT://:9092
         - name: KAFKA_ADVERTISED_LISTENERS
-          value: PLAINTEXT://localhost:9092
+          value: PLAINTEXT://kafka-service.kafka.svc.cluster.local:9092
         image: wurstmeister/kafka
         imagePullPolicy: IfNotPresent
         name: kafka-broker
         ports:
-          - containerPort: 9092
\ No newline at end of file
+          - containerPort: 9092

proto/analytics_frontend.proto

@@ -30,21 +30,25 @@ message AnalyzerId {
 }
 
 enum AnalyzerOperationMode {
-  ANALYZEROPERATIONMODE_BATCH     = 0;
-  ANALYZEROPERATIONMODE_STREAMING = 1;
+  ANALYZEROPERATIONMODE_UNSPECIFIED = 0;
+  ANALYZEROPERATIONMODE_BATCH       = 1;
+  ANALYZEROPERATIONMODE_STREAMING   = 2;
 }
 
+// duration field may be added in analyzer... 
 message Analyzer {
-  string                     algorithm_name       = 1; // The algorithm to be executed
-  repeated kpi_manager.KpiId input_kpi_ids        = 2; // The KPI Ids to be processed by the analyzer
-  repeated kpi_manager.KpiId output_kpi_ids       = 3; // The KPI Ids produced by the analyzer
-  AnalyzerOperationMode      operation_mode       = 4; // Operation mode of the analyzer
-
-  // In batch mode...
-  float                      batch_min_duration_s = 5; // ..., min duration to collect before executing batch
-  float                      batch_max_duration_s = 6; // ..., max duration collected to execute the batch
-  uint64                     batch_min_size       = 7; // ..., min number of samples to collect before executing batch
-  uint64                     batch_max_size       = 8; // ..., max number of samples collected to execute the batch
+  AnalyzerId                 analyzer_id          = 1;
+  string                     algorithm_name       = 2;  // The algorithm to be executed
+  float                      duration_s           = 3;  // Termiate the data analytics thread after duration (seconds); 0 = infinity time
+  repeated kpi_manager.KpiId input_kpi_ids        = 4;  // The KPI Ids to be processed by the analyzer
+  repeated kpi_manager.KpiId output_kpi_ids       = 5;  // The KPI Ids produced by the analyzer
+  AnalyzerOperationMode      operation_mode       = 6;  // Operation mode of the analyzer
+  map<string, string>        parameters           = 7;  // Add dictionary of (key, value) pairs such as (window_size, 10) etc.
+  // In batch mode... 
+  float                      batch_min_duration_s = 8;  // ..., min duration to collect before executing batch
+  float                      batch_max_duration_s = 9;  // ..., max duration collected to execute the batch
+  uint64                     batch_min_size       = 10; // ..., min number of samples to collect before executing batch
+  uint64                     batch_max_size       = 11; // ..., max number of samples collected to execute the batch
 }
 
 message AnalyzerFilter {

scripts/run_tests_locally-analytics-DB.sh

+#!/bin/bash
+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+
+PROJECTDIR=`pwd`
+
+cd $PROJECTDIR/src
+RCFILE=$PROJECTDIR/coverage/.coveragerc
+CRDB_SQL_ADDRESS=$(kubectl get service cockroachdb-public --namespace crdb -o jsonpath='{.spec.clusterIP}')
+export CRDB_URI="cockroachdb://tfs:tfs123@${CRDB_SQL_ADDRESS}:26257/tfs_kpi_mgmt?sslmode=require"
+python3 -m pytest --log-level=DEBUG --log-cli-level=DEBUG --verbose \
+    analytics/tests/test_analytics_db.py

scripts/run_tests_locally-analytics-frontend.sh

+#!/bin/bash
+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+
+PROJECTDIR=`pwd`
+
+cd $PROJECTDIR/src
+RCFILE=$PROJECTDIR/coverage/.coveragerc
+CRDB_SQL_ADDRESS=$(kubectl get service cockroachdb-public --namespace crdb -o jsonpath='{.spec.clusterIP}')
+export CRDB_URI="cockroachdb://tfs:tfs123@${CRDB_SQL_ADDRESS}:26257/tfs_kpi_mgmt?sslmode=require"
+python3 -m pytest --log-level=DEBUG --log-cli-level=DEBUG --verbose \
+    analytics/frontend/tests/test_frontend.py

scripts/run_tests_locally-telemetry-backend.sh

@@ -24,5 +24,5 @@ cd $PROJECTDIR/src
 # python3 kpi_manager/tests/test_unitary.py
 
 RCFILE=$PROJECTDIR/coverage/.coveragerc
-python3 -m pytest --log-level=INFO --log-cli-level=INFO --verbose \
-    telemetry/backend/tests/testTelemetryBackend.py
+python3 -m pytest --log-level=INFO --log-cli-level=debug --verbose \
+    telemetry/backend/tests/test_TelemetryBackend.py

scripts/show_logs_analytics_backend.sh

+#!/bin/bash
+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+########################################################################################################################
+# Define your deployment settings here
+########################################################################################################################
+
+# If not already set, set the name of the Kubernetes namespace to deploy to.
+export TFS_K8S_NAMESPACE=${TFS_K8S_NAMESPACE:-"tfs"}
+
+########################################################################################################################
+# Automated steps start here
+########################################################################################################################
+
+kubectl --namespace $TFS_K8S_NAMESPACE logs deployment/analyticsservice -c backend

scripts/show_logs_analytics_frontend.sh

+#!/bin/bash
+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+########################################################################################################################
+# Define your deployment settings here
+########################################################################################################################
+
+# If not already set, set the name of the Kubernetes namespace to deploy to.
+export TFS_K8S_NAMESPACE=${TFS_K8S_NAMESPACE:-"tfs"}
+
+########################################################################################################################
+# Automated steps start here
+########################################################################################################################
+
+kubectl --namespace $TFS_K8S_NAMESPACE logs deployment/analyticsservice -c frontend

src/analytics/README.md

+# How to locally run and test Analytic service (To be added soon)
+
+### Pre-requisets 
+The following requirements should be fulfilled before the execuation of Telemetry service.

src/analytics/__init__.py

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.

src/analytics/backend/Dockerfile

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+FROM python:3.9-slim
+
+# Install dependencies
+RUN apt-get --yes --quiet --quiet update && \
+    apt-get --yes --quiet --quiet install wget g++ git && \
+    rm -rf /var/lib/apt/lists/*
+
+# Set Python to show logs as they occur
+ENV PYTHONUNBUFFERED=0
+
+# Download the gRPC health probe
+RUN GRPC_HEALTH_PROBE_VERSION=v0.2.0 && \
+    wget -qO/bin/grpc_health_probe https://github.com/grpc-ecosystem/grpc-health-probe/releases/download/${GRPC_HEALTH_PROBE_VERSION}/grpc_health_probe-linux-amd64 && \
+    chmod +x /bin/grpc_health_probe
+
+# Get generic Python packages
+RUN python3 -m pip install --upgrade pip
+RUN python3 -m pip install --upgrade setuptools wheel
+RUN python3 -m pip install --upgrade pip-tools
+
+# Get common Python packages
+# Note: this step enables sharing the previous Docker build steps among all the Python components
+WORKDIR /var/teraflow
+COPY common_requirements.in common_requirements.in
+RUN pip-compile --quiet --output-file=common_requirements.txt common_requirements.in
+RUN python3 -m pip install -r common_requirements.txt
+
+# Add common files into working directory
+WORKDIR /var/teraflow/common
+COPY src/common/. ./
+RUN rm -rf proto
+
+# Create proto sub-folder, copy .proto files, and generate Python code
+RUN mkdir -p /var/teraflow/common/proto
+WORKDIR /var/teraflow/common/proto
+RUN touch __init__.py
+COPY proto/*.proto ./
+RUN python3 -m grpc_tools.protoc -I=. --python_out=. --grpc_python_out=. *.proto
+RUN rm *.proto
+RUN find . -type f -exec sed -i -E 's/(import\ .*)_pb2/from . \1_pb2/g' {} \;
+
+# Create component sub-folders, get specific Python packages
+RUN mkdir -p /var/teraflow/analytics/backend
+WORKDIR /var/teraflow/analytics/backend
+COPY src/analytics/backend/requirements.in requirements.in
+RUN pip-compile --quiet --output-file=requirements.txt requirements.in
+RUN python3 -m pip install -r requirements.txt
+
+# Add component files into working directory
+WORKDIR /var/teraflow
+COPY src/analytics/__init__.py analytics/__init__.py
+COPY src/analytics/backend/. analytics/backend/
+
+# Start the service
+ENTRYPOINT ["python", "-m", "analytics.backend.service"]

src/analytics/backend/__init__.py

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.

src/analytics/backend/requirements.in

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+pyspark==3.5.2
+confluent-kafka==2.3.*

src/analytics/backend/service/AnalyticsBackendService.py

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+
+import json
+import logging
+import threading
+from common.tools.service.GenericGrpcService import GenericGrpcService
+from analytics.backend.service.SparkStreaming import SparkStreamer
+from common.tools.kafka.Variables import KafkaConfig, KafkaTopic
+from confluent_kafka import Consumer as KafkaConsumer
+from confluent_kafka import KafkaError
+from common.Constants import ServiceNameEnum
+from common.Settings import get_service_port_grpc
+
+
+LOGGER = logging.getLogger(__name__)
+
+class AnalyticsBackendService(GenericGrpcService):
+    """
+    Class listens for ...
+    """
+    def __init__(self, cls_name : str = __name__) -> None:
+        LOGGER.info('Init AnalyticsBackendService')
+        port = get_service_port_grpc(ServiceNameEnum.ANALYTICSBACKEND)
+        super().__init__(port, cls_name=cls_name)
+        self.running_threads = {}       # To keep track of all running analyzers 
+        self.kafka_consumer = KafkaConsumer({'bootstrap.servers' : KafkaConfig.get_kafka_address(),
+                                            'group.id'           : 'analytics-frontend',
+                                            'auto.offset.reset'  : 'latest'})
+
+    def StartSparkStreamer(self, analyzer_uuid, analyzer):
+        kpi_list      = analyzer['input_kpis'] 
+        oper_list     = [s.replace('_value', '') for s in list(analyzer["thresholds"].keys())]  # TODO: update this line...
+        thresholds    = analyzer['thresholds']
+        window_size   = analyzer['window_size']
+        window_slider = analyzer['window_slider']
+        print ("Received parameters: {:} - {:} - {:} - {:} - {:}".format(
+            kpi_list, oper_list, thresholds, window_size, window_slider))
+        LOGGER.debug ("Received parameters: {:} - {:} - {:} - {:} - {:}".format(
+            kpi_list, oper_list, thresholds, window_size, window_slider))
+        try:
+            stop_event = threading.Event()
+            thread = threading.Thread(target=SparkStreamer, 
+                            args=(analyzer_uuid, kpi_list, oper_list, thresholds, stop_event,
+                                  window_size, window_slider, None ))
+            self.running_threads[analyzer_uuid] = (thread, stop_event)
+            thread.start()
+            print      ("Initiated Analyzer backend: {:}".format(analyzer_uuid))
+            LOGGER.info("Initiated Analyzer backend: {:}".format(analyzer_uuid))
+            return True
+        except Exception as e:
+            print       ("Failed to initiate Analyzer backend: {:}".format(e))
+            LOGGER.error("Failed to initiate Analyzer backend: {:}".format(e))
+            return False
+
+    def StopRequestListener(self, threadInfo: tuple):
+        try:
+            thread, stop_event = threadInfo
+            stop_event.set()
+            thread.join()
+            print      ("Terminating Analytics backend RequestListener")
+            LOGGER.info("Terminating Analytics backend RequestListener")
+            return True
+        except Exception as e:
+            print       ("Failed to terminate analytics backend {:}".format(e))
+            LOGGER.error("Failed to terminate analytics backend {:}".format(e))
+            return False
+
+    def install_services(self):
+        stop_event = threading.Event()
+        thread = threading.Thread(target=self.RequestListener,
+                                  args=(stop_event,) )
+        thread.start()
+        return (thread, stop_event)
+
+    def RequestListener(self, stop_event):
+        """
+        listener for requests on Kafka topic.
+        """
+        consumer = self.kafka_consumer
+        consumer.subscribe([KafkaTopic.ANALYTICS_REQUEST.value])
+        while not stop_event.is_set():
+            receive_msg = consumer.poll(2.0)
+            if receive_msg is None:
+                continue
+            elif receive_msg.error():
+                if receive_msg.error().code() == KafkaError._PARTITION_EOF:
+                    continue
+                else:
+                    print("Consumer error: {}".format(receive_msg.error()))
+                    break
+            analyzer    = json.loads(receive_msg.value().decode('utf-8'))
+            analyzer_uuid = receive_msg.key().decode('utf-8')
+            LOGGER.debug('Recevied Analyzer: {:} - {:}'.format(analyzer_uuid, analyzer))
+            print       ('Recevied Analyzer: {:} - {:}'.format(analyzer_uuid, analyzer))
+
+            if analyzer["algo_name"] is None and analyzer["oper_mode"] is None:
+                self.TerminateAnalyzerBackend(analyzer_uuid)
+            else:
+                self.StartSparkStreamer(analyzer_uuid, analyzer)
+        LOGGER.debug("Stop Event activated. Terminating...")
+        print       ("Stop Event activated. Terminating...")
+
+    def TerminateAnalyzerBackend(self, analyzer_uuid):
+        if analyzer_uuid in self.running_threads:
+            try:
+                thread, stop_event = self.running_threads[analyzer_uuid]
+                stop_event.set()
+                thread.join()
+                del self.running_threads[analyzer_uuid]
+                print      ("Terminating backend (by TerminateBackend): Analyzer Id: {:}".format(analyzer_uuid))
+                LOGGER.info("Terminating backend (by TerminateBackend): Analyzer Id: {:}".format(analyzer_uuid))
+                return True
+            except Exception as e:
+                LOGGER.error("Failed to terminate. Analyzer Id: {:} - ERROR: {:}".format(analyzer_uuid, e))
+                return False
+        else:
+            print         ("Analyzer not found in active collectors. Analyzer Id: {:}".format(analyzer_uuid))
+            LOGGER.warning("Analyzer not found in active collectors: Analyzer Id: {:}".format(analyzer_uuid))           
+            # generate confirmation towards frontend

src/analytics/backend/service/SparkStreaming.py

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+
+import logging, time
+from pyspark.sql                  import SparkSession
+from pyspark.sql.types            import StructType, StructField, StringType, DoubleType, TimestampType
+from pyspark.sql.functions        import from_json, col, window, avg, min, max, first, last, stddev, when, round
+from common.tools.kafka.Variables import KafkaConfig, KafkaTopic
+
+LOGGER = logging.getLogger(__name__)
+
+def DefiningSparkSession():
+    # Create a Spark session with specific spark verions (3.5.0)
+    return SparkSession.builder \
+            .appName("Analytics") \
+            .config("spark.sql.streaming.forceDeleteTempCheckpointLocation", "true") \
+            .config("spark.jars.packages", "org.apache.spark:spark-sql-kafka-0-10_2.12:3.5.0") \
+            .getOrCreate()
+
+def SettingKafkaConsumerParams():   # TODO:  create get_kafka_consumer() in common with inputs (bootstrap server, subscribe, startingOffset and failOnDataLoss with default values)
+    return {
+            # "kafka.bootstrap.servers": '127.0.0.1:9092',
+            "kafka.bootstrap.servers": KafkaConfig.get_kafka_address(),
+            "subscribe"              : KafkaTopic.VALUE.value,
+            "startingOffsets"        : 'latest',
+            "failOnDataLoss"         : 'false'              # Optional: Set to "true" to fail the query on data loss
+        }
+
+def DefiningRequestSchema():
+    return StructType([
+            StructField("time_stamp" ,  StringType()  , True),
+            StructField("kpi_id"     ,  StringType()  , True),
+            StructField("kpi_value"  ,  DoubleType()  , True)
+        ])
+
+def GetAggregations(oper_list):
+    # Define the possible aggregation functions
+    agg_functions = {
+        'avg'  :  round(avg    ("kpi_value"), 3) .alias("avg_value"),
+        'min'  :  round(min    ("kpi_value"), 3) .alias("min_value"),
+        'max'  :  round(max    ("kpi_value"), 3) .alias("max_value"),
+        'first':  round(first  ("kpi_value"), 3) .alias("first_value"),
+        'last' :  round(last   ("kpi_value"), 3) .alias("last_value"),
+        'stdev':  round(stddev ("kpi_value"), 3) .alias("stdev_value")
+    }
+    return [agg_functions[op] for op in oper_list if op in agg_functions]   # Filter and return only the selected aggregations
+
+def ApplyThresholds(aggregated_df, thresholds):
+    # Apply thresholds (TH-Fail and TH-RAISE) based on the thresholds dictionary on the aggregated DataFrame.
+    
+    # Loop through each column name and its associated thresholds
+    for col_name, (fail_th, raise_th) in thresholds.items():
+        # Apply TH-Fail condition (if column value is less than the fail threshold)
+        aggregated_df = aggregated_df.withColumn(
+            f"{col_name}_THRESHOLD_FAIL", 
+            when(col(col_name) < fail_th, True).otherwise(False)
+        )
+        # Apply TH-RAISE condition (if column value is greater than the raise threshold)
+        aggregated_df = aggregated_df.withColumn(
+            f"{col_name}_THRESHOLD_RAISE", 
+            when(col(col_name) > raise_th, True).otherwise(False)
+        )
+    return aggregated_df
+
+def SparkStreamer(key, kpi_list, oper_list, thresholds, stop_event,
+                  window_size=None, win_slide_duration=None, time_stamp_col=None):
+    """
+    Method to perform Spark operation Kafka stream.
+    NOTE: Kafka topic to be processesd should have atleast one row before initiating the spark session. 
+    """
+    kafka_consumer_params = SettingKafkaConsumerParams()         # Define the Kafka consumer parameters
+    schema                = DefiningRequestSchema()              # Define the schema for the incoming JSON data
+    spark                 = DefiningSparkSession()               # Define the spark session with app name and spark version
+    
+    # extra options default assignment
+    if window_size        is None: window_size        = "60 seconds"    # default
+    if win_slide_duration is None: win_slide_duration = "30 seconds"    # default
+    if time_stamp_col     is None: time_stamp_col     = "time_stamp"    # default
+    
+    try:
+        # Read data from Kafka
+        raw_stream_data = spark \
+            .readStream \
+            .format("kafka") \
+            .options(**kafka_consumer_params) \
+            .load()
+
+        # Convert the value column from Kafka to a string
+        stream_data          = raw_stream_data.selectExpr("CAST(value AS STRING)")
+        # Parse the JSON string into a DataFrame with the defined schema
+        parsed_stream_data   = stream_data.withColumn("parsed_value", from_json(col("value"), schema))
+        # Select the parsed fields
+        final_stream_data    = parsed_stream_data.select("parsed_value.*")
+        # Convert the time_stamp to proper timestamp (assuming it's in ISO format)
+        final_stream_data    = final_stream_data.withColumn(time_stamp_col, col(time_stamp_col).cast(TimestampType()))
+        # Filter the stream to only include rows where the kpi_id is in the kpi_list
+        filtered_stream_data = final_stream_data.filter(col("kpi_id").isin(kpi_list))
+         # Define a window for aggregation
+        windowed_stream_data = filtered_stream_data \
+                                .groupBy(
+                                    window( col(time_stamp_col), 
+                                           window_size, slideDuration=win_slide_duration
+                                           ),
+                                    col("kpi_id")
+                                ) \
+                                .agg(*GetAggregations(oper_list))
+        # Apply thresholds to the aggregated data
+        thresholded_stream_data = ApplyThresholds(windowed_stream_data, thresholds)
+
+        # --- This will write output on console: FOR TESTING PURPOSES
+        # Start the Spark streaming query
+        # query = thresholded_stream_data \
+        #     .writeStream \
+        #     .outputMode("update") \
+        #     .format("console") 
+
+        # --- This will write output to Kafka: ACTUAL IMPLEMENTATION
+        query = thresholded_stream_data \
+            .selectExpr(f"'{key}' AS key", "to_json(struct(*)) AS value") \
+            .writeStream \
+            .format("kafka") \
+            .option("kafka.bootstrap.servers", KafkaConfig.get_kafka_address()) \
+            .option("topic",                   KafkaTopic.ANALYTICS_RESPONSE.value) \
+            .option("checkpointLocation",      "analytics/.spark/checkpoint") \
+            .outputMode("update")
+
+        # Start the query execution
+        queryHandler = query.start()
+
+        # Loop to check for stop event flag. To be set by stop collector method.
+        while True:
+            if stop_event.is_set():
+                LOGGER.debug("Stop Event activated. Terminating in 5 seconds...")
+                print       ("Stop Event activated. Terminating in 5 seconds...")
+                time.sleep(5)
+                queryHandler.stop()
+                break
+            time.sleep(5)
+
+    except Exception as e:
+        print("Error in Spark streaming process: {:}".format(e))
+        LOGGER.debug("Error in Spark streaming process: {:}".format(e))

src/analytics/backend/service/__init__.py

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.

src/analytics/backend/service/__main__.py

+# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
+#
+# 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.
+
+import logging, signal, sys, threading
+from prometheus_client import start_http_server
+from common.Settings import get_log_level, get_metrics_port
+from .AnalyticsBackendService import AnalyticsBackendService
+
+terminate = threading.Event()
+LOGGER = None
+
+def signal_handler(signal, frame): # pylint: disable=redefined-outer-name
+    LOGGER.warning('Terminate signal received')
+    terminate.set()
+
+def main():
+    global LOGGER # pylint: disable=global-statement
+
+    log_level = get_log_level()
+    logging.basicConfig(level=log_level, format="[%(asctime)s] %(levelname)s:%(name)s:%(message)s")
+    LOGGER = logging.getLogger(__name__)
+
+    signal.signal(signal.SIGINT,  signal_handler)
+    signal.signal(signal.SIGTERM, signal_handler)
+
+    LOGGER.info('Starting...')
+
+    # Start metrics server
+    metrics_port = get_metrics_port()
+    start_http_server(metrics_port)
+
+    grpc_service = AnalyticsBackendService()
+    grpc_service.start()
+
+    # Wait for Ctrl+C or termination signal
+    while not terminate.wait(timeout=1.0): pass
+
+    LOGGER.info('Terminating...')
+    grpc_service.stop()
+
+    LOGGER.info('Bye')
+    return 0
+
+if __name__ == '__main__':
+    sys.exit(main())