| 5 | |
| 6 | |
| 7 | class PlannerService(planner_pb2_grpc.PlannerServicer): |
| 8 | |
| 9 | def CalculateOptimalReplicas(self, request, context): |
| 10 | # Fetch metrics from Prometheus, Kepler, Kserve, and external grid sources |
| 11 | # Perform calculations to determine the optimal number of replicas |
| 12 | # Return the calculated optimal replicas |
| 13 | response = planner_pb2.CalculateOptimalReplicasResponse() |
| 14 | for deployment in request.deployments: |
| 15 | optimal_replicas = self.calculate_optimal_replicas( |
| 16 | deployment, request.powerCap) |
| 17 | deployment_replicas = planner_pb2.DeploymentReplicas( |
| 18 | name=deployment.name, |
| 19 | namespace=deployment.namespace, |
| 20 | optimalReplicas=optimal_replicas) |
| 21 | response.deploymentReplicas.append(deployment_replicas) |
| 22 | return response |
| 23 | |
| 24 | def calculate_optimal_replicas(self, deployment, power_cap): |
| 25 | # Implement the logic to calculate the optimal replicas based on metrics and power cap |
| 26 | # This is just a placeholder, replace it with your actual calculation |
| 27 | return 5 |
| 28 | |
| 29 | |
| 30 | def serve(): |