from fastapi import APIRouter from kubernetes import client, config import math router = APIRouter() def fetch_k8s_data_with_usage(): config.load_incluster_config() v1 = client.CoreV1Api() metrics_client = client.CustomObjectsApi() # Fetch nodes and namespaces nodes = [{ "node_name": node.metadata.name, "cpu": node.status.capacity.get("cpu"), "memory": node.status.capacity.get("memory"), "pods_allocatable": node.status.allocatable.get("pods"), } for node in v1.list_node().items] namespaces = [ns.metadata.name for ns in v1.list_namespace().items] # Fetch pod metrics and calculate namespace resource usage namespace_usage = {} pod_metrics = metrics_client.list_namespaced_custom_object( group="metrics.k8s.io", version="v1beta1", namespace="", plural="pods" ) for pod in pod_metrics["items"]: pod_namespace = pod["metadata"]["namespace"] if pod_namespace not in namespace_usage: namespace_usage[pod_namespace] = {"cpu": 0, "memory": 0} for container in pod["containers"]: cpu_usage = container["usage"]["cpu"] memory_usage = container["usage"]["memory"] # Convert CPU to millicores and memory to MiB namespace_usage[pod_namespace]["cpu"] += convert_cpu_to_millicores(cpu_usage) namespace_usage[pod_namespace]["memory"] += convert_memory_to_mib(memory_usage) return {"nodes": nodes, "namespaces": namespaces, "namespace_usage": namespace_usage} def convert_cpu_to_millicores(cpu): if "n" in cpu: return int(cpu.replace("n", "")) / 1e6 elif "m" in cpu: return int(cpu.replace("m", "")) return int(cpu) * 1000 def convert_memory_to_mib(memory): if "Ki" in memory: return int(memory.replace("Ki", "")) / 1024 elif "Mi" in memory: return int(memory.replace("Mi", "")) elif "Gi" in memory: return int(memory.replace("Gi", "")) * 1024 return int(memory) @router.get("/k8s/data") def get_k8s_data(): return fetch_k8s_data_with_usage()