Continuing with the implementation of the workflow

deploy_in_kubernetes.sh

@@ -10,7 +10,7 @@ REGISTRY_IMAGE=""
 #REGISTRY_IMAGE="http://my-container-registry.local/"
 
 # Set the list of components you want to build images for, and deploy.
-COMPONENTS="context device automation policy service compute monitoring centralizedattackdetector"
+COMPONENTS="context device automation policy service compute monitoring centralizedattackdetector opticalcentralizedattackdetector"
 
 # Set the tag you want to use for your images.
 IMAGE_TAG="tf-dev"
@@ -38,6 +38,10 @@ kubectl delete namespace $K8S_NAMESPACE
 kubectl create namespace $K8S_NAMESPACE
 printf "\n"
 
+# creating secrets
+kubectl create secret generic influxdb-secrets --namespace=tf-dev --from-literal=INFLUXDB_USER='test_user' --from-literal=INFLUXDB_DATABASE='test' --from-literal=INFLUXDB_HOSTNAME='influxdb' --from-literal=INFLUXDB_PASSWORD='test_password'
+kubectl create secret generic monitoring-secrets --namespace=tf-dev --from-literal=INFLUXDB_USER='test_user' --from-literal=INFLUXDB_DATABASE='test' --from-literal=INFLUXDB_HOSTNAME='influxdb' --from-literal=INFLUXDB_PASSWORD='test_password'
+
 for COMPONENT in $COMPONENTS; do
     echo "Processing '$COMPONENT' component..."
     IMAGE_NAME="$COMPONENT:$IMAGE_TAG"

src/opticalcentralizedattackdetector/Config.py

@@ -12,11 +12,11 @@ GRPC_GRACE_PERIOD = 60
 MONITORING_INTERVAL = 2  # monitoring interval in seconds
 #TODO: adjust the addresses below for the specific case
 # MONITORING_SERVICE_ADDRESS = 'monitoring'  # address/name of the monitoring service
-MONITORING_SERVICE_ADDRESS = 'localhost'  # address/name of the monitoring service
+MONITORING_SERVICE_ADDRESS = '10.109.226.172'  # address/name of the monitoring service
 # CONTEXT_SERVICE_ADDRESS = 'context'  # address/name of the monitoring service
-CONTEXT_SERVICE_ADDRESS = '10.103.238.143'  # address/name of the monitoring service
+CONTEXT_SERVICE_ADDRESS = '10.98.160.79'  # address/name of the monitoring service
 # SERVICE_SERVICE_ADDRESS = 'service'  # address/name of the service service
-SERVICE_SERVICE_ADDRESS = '10.98.1.146'  # address/name of the service service
+SERVICE_SERVICE_ADDRESS = '10.97.59.81'  # address/name of the service service
 # INFERENCE_SERVICE_ADDRESS = 'dbscanserving'  # address/name of the inference service
 INFERENCE_SERVICE_ADDRESS = 'localhost'  # address/name of the inference service
 

src/opticalcentralizedattackdetector/service/__main__.py

@@ -40,14 +40,20 @@ def detect_attack(monitoring_interval):
         context_ids: ContextIdList = context_client.ListContextIds(Empty())
 
         # for each context, retrieve list of current services
-        service_uuids = []
+        services = []
         for context_id in context_ids.context_ids:
-            LOGGER.warning(context_id.context_uuid.uuid)
-            service_ids: ServiceIdList = context_client.ListServiceIds(context_id)
-            for service_id in service_ids.service_ids:
-                service_uuids.append((service_id.context_id.context_uuid.uuid, service_id.service_uuid.uuid))
+
+            context_services: ServiceIdList = context_client.ListServices(context_id)
+            for service in context_services.services:
+                services.append(service)
 
         # get monitoring data for each of the current services
+        for service in services:
+            for endpoint in service.service_endpoint_ids:
+                # get instant KPI for this endpoint
+                LOGGER.warning(f'service: {service.service_id.service_uuid.uuid}\t endpoint: {endpoint.endpoint_uuid.uuid}\tdevice: {endpoint.device_id.device_uuid.uuid}')
+                # how to get all KPIs for a particular device?
+                pass
 
         # run attack detection for every service