feat: Add Lakeside Labs DSE export functionality

- Implemented LakesideLabsDseFileGenerator to generate DSE YAML files from TTopologyTemplate objects.
- Created ExportLakesideLabsDseCommand to handle the export command and user interactions.
- Developed Handlebars templates for Lakeside node definitions and main DSE structure.
- Added system parameters and architecture definitions in the generated DSE files.
- Included error handling and logging for export operations.

Author: juancadavid

Generated TOSCA files/MyrtusSmartTrafficManagementTopologyTemplate.tosca

@@ -1,186 +1,113 @@
 tosca_definitions_version: tosca_simple_yaml_1_3
 
-
+metadata:
+    name: "TrafficApplication"
+    targetNamespace: "example.eu.myrtus.servicetemplates"
 
 topology_template:
-  inputs:
-    edge_high_cpu_threshold
-      type: float
-      default: '0.7'
-    fog_high_cpu_threshold
-      type: integer
-      default: '0.6'
-    high_traffic_threshold_15min
-      type: integer
-      default: '125'
-    low_traffic_threshold_15min
-      type: integer
-      default: '25'
-  groups:  
+  node_templates:
+  groups:
     compute_nodes:	
       node_templates:  
-        cloud_instance_1:
-          type: .CloudInstance
-          properties:
-            memory: "128 GB DDR4"
-            storageCapacity: "4000 GB SSD"
-            processingCapabilities: "Intel Xeon Platinum 8358, 32 cores @ 2.60 GHz"
-            maxNetworkBandwidth: "10 Gbps"
-            highCpuThreshold: "0.7"
-        fog_node_1:
-          type: .FogNode
-          properties:
-            processingCapabilities: "Intel Xeon E-2224, 4 cores @ 3.40 GHz"
-            memory: "16 GB DDR4"
-            maxNetworkBandwidth: "1 Gbps"
-            storageCapacity: "500 GB SSD"
-            highCpuThreshold: "0.8"
-        basic_edge_camera_1:
-          type: .EdgeCamera
-          properties:
-            processingCapability: "ARM Cortex-A73, Quad-core 1.4 GHz"
-            memory: "2 GB LPDDR4"
-            maxNetworkBandwidth: "100 Mbps"
-            cameraSensorSpec: "1/2.8-inch CMOS, 12 MP, 4K@30fps"
-            location: "Intersection of Main St. and 1st Ave."
-            maxPowerConsumptionThreshold: "11.5W"
-            minPowerConsumptionThreshold: "3.5W"
-            baselineAveragePowerConsumption: "4.5W"
-            highCpuThreshold: "0.7"
-        basic_edge_camera_2:
-          type: .EdgeCamera
+        EdgeComputeNode:
+          type: example.eu.myrtus.nodetypes.myrtus.dpe.compute
           properties:
-            processingCapability: "ARM Cortex-A73, Quad-core 1.4 GHz"
-            memory: "2 GB LPDDR4"
-            maxNetworkBandwidth: "100 Mbps"
-            cameraSensorSpec: "1/2.8-inch CMOS, 12 MP, 4K@30fps"
-            location: "Intersection of Main St. and 1st Ave."
-            baselineAveragePowerConsumption: "4.5W"
-            minPowerConsumptionThreshold: "3.5W"
-            maxPowerConsumptionThreshold: "11.5W"
-            highCpuThreshold: "0.7"
-        advanced_edge_camera_1:
-          type: .EdgeCamera
+            cpu_cores: "4"
+            memory_gb: "8"
+            layer: "edge"
+            num_instances: "50"
+        FogComputeNode:
+          type: example.eu.myrtus.nodetypes.myrtus.dpe.compute
           properties:
-            processingCapability: "NVIDIA Jetson TX2"
-            memory: "4 GB LPDDR4"
-            maxNetworkBandwidth: "1 Gbps"
-            cameraSensorSpec: "1/1.8-inch CMOS, 20 MP, 4K@60fps"
-            location: "Intersection of Main St. and 1st Ave."
-            maxPowerConsumptionThreshold: "20W"
-            minPowerConsumptionThreshold: "5W"
-            baselineAveragePowerConsumption: "8W"
-            highCpuThreshold: "0.8"
-        advanced_edge_camera_2:
-          type: .EdgeCamera
+            cpu_cores: "16"
+            memory_gb: "32"
+            layer: "fog"
+            num_instances: "10"
+        CloudComputeNode:
+          type: example.eu.myrtus.nodetypes.myrtus.dpe.compute
           properties:
-            processingCapability: "NVIDIA Jetson TX2"
-            minPowerConsumptionThreshold: "5W"
-            maxNetworkBandwidth: "1 Gbps"
-            location: "Intersection of Main St. and 1st Ave."
-            memory: "4 GB LPDDR4"
-            cameraSensorSpec: "1/1.8-inch CMOS, 20 MP, 4K@60fps"
-            maxPowerConsumptionThreshold: "20W"
-            baselineAveragePowerConsumption: "8W"
-            highCpuThreshold: "0.8"
+            cpu_cores: "64"
+            memory_gb: "32"
+            layer: "cloud"
+            num_instances: "1"
     software_component_nodes:	
       node_templates:  
-        object_detection_1:
-          type: .object_detection
+        MultisensorMerger:
+          type: example.eu.myrtus.nodetypes.myrtus.DPE.nodes.LakesidePod
+          metadata:
+            dataSensitivity: "Medium"
+            dataIntegrity: "High"
           properties:
-            dockerImage: "dockerHub/objectDetection"
+            dockerImage: "ci.hesi.energy:5000/myrtus/multi_sensor_merger"
+            port: "5557"
+            required_cpu_cores: "4"
+            required_memory_gb: "8"
+            creation_probability: "0.4"
+            min_exec_steps: "60"
+            max_exec_steps: "120"
+            layer_restriction: "none"
           requirements:
-            - host:
-               node: basic_edge_camera_1
+            - connects:
+               node: ''
                relationship: 
-               capability: 
-               properties:
-                 processingRequirement: "0.4"
-                 memoryRequirement: "250MB"
-        object_tracking_1:
-          type: .object_tracking
-          properties:
-            dockerImage: "dockerHub/objectTracking"
-          requirements:
+               capability: service
             - host:
-               node: basic_edge_camera_1
+               node: ''
                relationship: 
-               capability: 
-               properties:
-                 processingRequirement: "0.5"
-                 memoryRequirement: "300MB"
-        image_processing_1:
-          type: .image_processing
+               capability: host
+        MapMatcher:
+          type: example.eu.myrtus.nodetypes.myrtus.DPE.nodes.LakesidePod
+          metadata:
+            dataSensitivity: "Medium"
+            dataIntegrity: "High"
           properties:
-            dockerImage: "dockerHub/imageProcessing"
+            dockerImage: "ci.hesi.energy:5000/myrtus/map-matcher"
+            port: "5557"
+            required_cpu_cores: "2"
+            required_memory_gb: "4"
+            creation_probability: "0.3"
+            min_exec_steps: "30"
+            max_exec_steps: "90"
+            layer_restriction: "none"
           requirements:
             - host:
-               node: fog_node_1
+               node: ''
                relationship: 
-               capability: 
-               properties:
-                 processingRequirement: "0.4"
-                 memoryRequirement: "250MB"
-        traffic_data_analysis_1:
-          type: .traffic_data_analysis
+               capability: host
+        RedLightDetection:
+          type: example.eu.myrtus.nodetypes.myrtus.DPE.nodes.LakesidePod
+          metadata:
+            dataSensitivity: "Medium"
+            dataIntegrity: "High"
           properties:
-            dockerImage: "dockerHub/trafficDataAnalysis"
+            dockerImage: "ci.hesi.energy:5000/myrtus/sensor_tracker"
+            port: "5557"
+            required_memory_gb: "4"
+            required_cpu_cores: "2"
+            creation_probability: "0.3"
+            min_exec_steps: "10"
+            max_exec_steps: "60"
+            layer_restriction: "edge"
           requirements:
             - host:
-               node: cloud_instance_1
+               node: ''
                relationship: 
-               capability: 
-               properties:
-                 memoryRequirement: "0.7"
-                 processingRequirement: "700MB"
-        digital_signature_verification_1:
-          type: .security_countermeasure
-        encryption_decryption_1:
-          type: .security_countermeasure
-        key_exchange_mechanism_1:
-          type: .security_countermeasure
-        ai_malware_mechanism_1:
-          type: .security_countermeasure
-        side_channel_secure_library_1:
-          type: .security_countermeasure
-  relationship_templates:
+               capability: host
   policies:
-    high_cpu_utilization_on_camera:
-      type: tosca.policies.Placement
-      description: Edge devices SHOULD maintain computational resource (CPU, GPU) utilization below 70% to ensure adequate headroom for handling unexpected traffic spikes or system events.
-      targets: [basic_edge_camera_1,basic_edge_camera_2,advanced_edge_camera_1,advanced_edge_camera_2]
-      triggers:
-        high_cpu_utilization_on_camera_trigger:
-          description: Edge devices SHOULD maintain computational resource (CPU, GPU) utilization below 70% to ensure adequate headroom for handling unexpected traffic spikes or system events.
-          condition: 'for camera in targets: camera.cpu_utilization > edge_high_cpu_threshold'
-          action: 'migrate: object_detection_service target: fog_node_1'
-    high_cpu_utilization_on_fog:
-      type: tosca.policies.Placement
-      description: Fog nodes SHOULD maintain computational resource (CPU, GPU) utilization below 60% to accommodate dynamic workload fluctuations and support real-time traffic data processing.
-      targets: [fog_node_1]
-      triggers:
-        high_cpu_utilization_on_fog_trigger:
-          description: Edge devices SHOULD maintain computational resource (CPU, GPU) utilization below 60% to ensure adequate headroom for handling unexpected traffic spikes or system events.
-          condition: 'for fog_node in targets: fog_node.cpu_utilization > fog_high_cpu_threshold'
-          action: 'migrate: object_detection_service target: cloud_instance_1'
-    edge_low_power_mode:
-      type: tosca.policies.Placement
-      targets: [basic_edge_camera_1,basic_edge_camera_2,advanced_edge_camera_1,advanced_edge_camera_2]
-      triggers:
-        edge_low_power_mode_trigger:
-          condition: 'datetime.datetime.now().time() >= datetime.time(1, 0) and datetime.datetime.now().time() <= datetime.time(5, 0) and average_traffic_density_15min < low_traffic_threshold_15min'
-          action: 'frame_rate: 10 else frame_rate: 30'
-    high_traffic_scaling:
-      type: tosca.policies.Scaling
-      targets: [cloud_instance_1]
-      triggers:
-        high_traffic_scaling_trigger:
-          condition: 'average_traffic_density_15min > high_traffic_threshold_15min'
-          action: 'scale_up: 1 target: cloud_server_1'
-    low_traffic_scaling:
-      type: tosca.policies.Scaling
-      targets: [cloud_instance_1]
-      triggers:
-        low_traffic_scaling_trigger:
-          condition: 'average_traffic_density_15min < low_traffic_threshold_15min'
-          action: 'scale_down: 1 target: cloud_server_1'
+      communication_cost_objective:
+        type: tosca.policies.Performance
+        description: Objective to minimize the total communication cost for all inter-component connections.
+        properties:
+          target_metric: "total_communication_cost"
+          objective: "minimize"
+        targets: [MultisensorMerger, MapMatcher, RedLightDetection]
+      dependency_objective:
+        type: tosca.policies.Performance
+        description: Objective to minimize the dependency on more expensive parts of the architecture
+        properties:
+          target_metric: "dependency_score"
+          objective: "minimize"
+          edge_weight: "0.1"
+          fog_weight: "0.5"
+          cloud_weight: "1.0"
+        targets: [MultisensorMerger, MapMatcher, RedLightDetection]