fix(think): correctly get list

app/routes/think.py

@@ -1,40 +1,3 @@
-from fastapi import APIRouter, HTTPException
-from kubernetes import client, config
-from typing import List, Dict
-import requests
-import os
-
-router = APIRouter()
-
-def fetch_ai_summary(cluster_name: str, nodes: List[Dict], api_url: str, auth_token: str) -> str:
-    """
-    Sends node data to an external AI API endpoint and retrieves a summary response.
-    """
-    payload = {
-        "data": {
-            "cluster_name": cluster_name,
-            "nodes": nodes
-        }
-    }
-
-    headers = {
-        "Authorization": f"Bearer {auth_token}",
-        "Content-Type": "application/json"
-    }
-
-    try:
-        response = requests.post(api_url, json=payload, headers=headers)
-        if response.status_code == 200:
-            result = response.json()
-            if result.get("success"):
-                return result.get("result", "No result provided by the API.")
-            else:
-                return "API responded with success=false."
-        else:
-            return f"API request failed with status code {response.status_code}: {response.text}"
-    except requests.RequestException as e:
-        return f"An error occurred while contacting the API: {str(e)}"
-
 @router.get("/think/k8s")
 def think_k8s():
     """
@@ -58,15 +21,15 @@ def think_k8s():
             "memory": f"{round(int(node.status.capacity.get('memory').replace('Ki', '')) / 1024 / 1024, 2)} GB",
             "storage": f"{round(int(ephemeral_storage.replace('Ki', '')) / (1024 ** 2), 2)} GB",
             "type": instance_type,
-            "namespaces": [ns.metadata.name for ns in v1.list_namespace().items()]
+            "namespaces": [ns.metadata.name for ns in v1.list_namespace().items]
         })
 
-    # Fetch token from environment
+    # Fetch environment variables
     api_url = os.getenv("AI_API_URL")
     auth_token = os.getenv("AI_API_TOKEN")
 
-    if not auth_token:
+    if not api_url or not auth_token:
-        raise HTTPException(status_code=500, detail="AI API token is not set. Please set the AI_API_TOKEN environment variable.")
+        raise HTTPException(status_code=500, detail="AI API URL or token is not set. Please set AI_API_URL and AI_API_TOKEN environment variables.")
 
     # Call AI API
     summary = fetch_ai_summary(cluster_name, nodes, api_url, auth_token)