Update agent.py

agent.py

@@ -327,35 +327,27 @@ tools = [tool_map[name] for name in enabled_tool_names]
 # -------------------------------
 # Step 2: Load the JSON file or tasks (Replace this part if you're loading tasks dynamically)
 # -------------------------------
-# Here we assume the tasks are already fetched from a URL or file.
-
-
-# Replace this with your actual URL
-json_url = "https://huggingface.co/spaces/wt002/Final_Assignment_Project/blob/main/questions.json"
+from fastapi import FastAPI, Request
+from langchain_core.documents import Document
+import uuid
 
-try:
-    # Fetch the JSON content from the URL
-    response = requests.get(json_url)
-    response.raise_for_status()  # Raise error if the request failed
+app = FastAPI()
 
-    tasks = response.json()  # Parse JSON content
-    print(f"✅ Loaded {len(tasks)} tasks from URL")
+@app.post("/start")
+async def start_questions(request: Request):
+    data = await request.json()
+    questions = data.get("questions", [])
 
-    # Convert each task to a LangChain Document
     docs = []
-    for task in tasks:
-        question = task.get("question", "").strip()
-        if not question:
-            print(f"⚠️ Skipping task with empty question: {task}")
+    for task in questions:
+        question_text = task.get("question", "").strip()
+        if not question_text:
             continue
 
         task["id"] = str(uuid.uuid4())
-        docs.append(Document(page_content=question, metadata=task))
+        docs.append(Document(page_content=question_text, metadata=task))
 
-except requests.RequestException as e:
-    print(f"❌ Failed to fetch JSON from URL: {e}")
-except ValueError as e:
-    print(f"❌ Invalid JSON format: {e}")
+    return {"message": f"Loaded {len(docs)} questions", "docs": [doc.page_content for doc in docs]}
 
 
 # -------------------------------