update(app): try k8s fetch

app/routes/k8s.py

@@ -1,32 +1,33 @@
 from fastapi import APIRouter
-from pydantic import BaseModel
-from typing import List
-from database import insert_kubernetes_node, fetch_all
+from kubernetes import client, config
 
 router = APIRouter()
 
-class KubernetesNode(BaseModel):
-    cluster_name: str
-    node_name: str
-    cpu: int
-    memory: str
-    storage: str
-    type: str
-    namespaces: List[str]
+# Initialize Kubernetes client
+def init_k8s_client():
+    try:
+        config.load_incluster_config()
+    except:
+        config.load_kube_config()  # local testing
 
 @router.get("/k8s/data")
 def get_k8s_data():
-    return {"kubernetes_nodes": fetch_all("kubernetes_nodes")}
+    init_k8s_client()
+    v1 = client.CoreV1Api()
 
-@router.post("/k8s/data")
-def add_k8s_data(node: KubernetesNode):
-    insert_kubernetes_node(
-        cluster_name=node.cluster_name,
-        node_name=node.node_name,
-        cpu=node.cpu,
-        memory=node.memory,
-        storage=node.storage,
-        node_type=node.type,
-        namespaces=node.namespaces
-    )
-    return {"message": f"Kubernetes node '{node.node_name}' in cluster '{node.cluster_name}' added successfully."}
+    # Fetch nodes
+    nodes = v1.list_node()
+    node_data = []
+    for node in nodes.items:
+        node_data.append({
+            "node_name": node.metadata.name,
+            "cpu": node.status.capacity.get("cpu"),
+            "memory": node.status.capacity.get("memory"),
+            "pods_allocatable": node.status.allocatable.get("pods"),
+        })
+
+    # Fetch namespaces
+    namespaces = v1.list_namespace()
+    namespace_data = [ns.metadata.name for ns in namespaces.items]
+
+    return {"nodes": node_data, "namespaces": namespace_data}