first bug

app.py

@@ -57,74 +57,70 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     # In the case of an app running as a hugging Face space, this link points toward your codebase ( usefull for others so please keep it public)
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
-
-    # 2. Fetch Questions
-    print(f"Fetching questions from: {questions_url}")
-    try:
-        response = requests.get(questions_url, timeout=15)
-        response.raise_for_status()
-        questions_data = response.json()
-        if not questions_data:
-             print("Fetched questions list is empty.")
-             return "Fetched questions list is empty or invalid format.", None
-        print(f"Fetched {len(questions_data)} questions.")
-    except requests.exceptions.RequestException as e:
-        print(f"Error fetching questions: {e}")
-        return f"Error fetching questions: {e}", None
-    except requests.exceptions.JSONDecodeError as e:
-         print(f"Error decoding JSON response from questions endpoint: {e}")
-         print(f"Response text: {response.text[:500]}")
-         return f"Error decoding server response for questions: {e}", None
-    except Exception as e:
-        print(f"An unexpected error occurred fetching questions: {e}")
-        return f"An unexpected error occurred fetching questions: {e}", None
-
-    # 3. Run your Agent
-    results_log = []
-    answers_payload = []
-    print(f"Running agent on {len(questions_data)} questions...")
-    for item in questions_data:
-        task_id = item.get("task_id")
-        question_text = item.get("question")
-        print(f"running on Question data {question_text}")
-        if not task_id or question_text is None:
-            print(f"Skipping item with missing task_id or question: {item}")
-            continue
+    
+    if(mode != "live"):
+        # 5a test
+        question = "When was a picture of St. Thomas Aquinas first added to the wikipedia page on the principle of double effect?"
+        #graph = build_graph(provider="groq")
         try:
-            submitted_answer = agent(question_text)
+            submitted_answer = agent(question)
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
         except Exception as e:
-             print(f"Error running agent on task {task_id}: {e}")
-             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
-
-    if not answers_payload:
-        print("Agent did not produce any answers to submit.")
-        return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
-
-    # 4. Prepare Submission 
-    submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
-    status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
-    print(status_update)
-
-    if(mode == "test"):
-        # 5a test
-        question = "When was a picture of St. Thomas Aquinas first added to the wikipedia page on the principle of double effect?"
-        graph = build_graph(provider="groq")
-        messages = [HumanMessage(content=question)]
-        print("message {messages}")
-        messages = graph.invoke(
-            input= {"messages": messages},
-            config={"callbacks": [langfuse_handler]}
-        )
-        graph.get_graph().draw_mermaid_png()
-
-        for m in messages["messages"]:
-            m.pretty_print()
-            print("m-Message{m}")
-            
+            print(f"Error running agent on task {task_id}: {e}")
+            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
     else:
-        # 5b. Submit
+
+        # 2. Fetch Questions
+        print(f"Fetching questions from: {questions_url}")
+        try:
+            response = requests.get(questions_url, timeout=15)
+            response.raise_for_status()
+            questions_data = response.json()
+            if not questions_data:
+                print("Fetched questions list is empty.")
+                return "Fetched questions list is empty or invalid format.", None
+            print(f"Fetched {len(questions_data)} questions.")
+        except requests.exceptions.RequestException as e:
+            print(f"Error fetching questions: {e}")
+            return f"Error fetching questions: {e}", None
+        except requests.exceptions.JSONDecodeError as e:
+            print(f"Error decoding JSON response from questions endpoint: {e}")
+            print(f"Response text: {response.text[:500]}")
+            return f"Error decoding server response for questions: {e}", None
+        except Exception as e:
+            print(f"An unexpected error occurred fetching questions: {e}")
+            return f"An unexpected error occurred fetching questions: {e}", None
+
+        # 3. Run your Agent
+        results_log = []
+        answers_payload = []
+        print(f"Running agent on {len(questions_data)} questions...")
+        for item in questions_data:
+            task_id = item.get("task_id")
+            question_text = item.get("question")
+            print(f"running on Question data {question_text}")
+            if not task_id or question_text is None:
+                print(f"Skipping item with missing task_id or question: {item}")
+                continue
+            try:
+                submitted_answer = agent(question_text)
+                answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
+                results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
+            except Exception as e:
+                print(f"Error running agent on task {task_id}: {e}")
+                results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+
+        if not answers_payload:
+            print("Agent did not produce any answers to submit.")
+            return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
+
+        # 4. Prepare Submission 
+        submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
+        status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
+        print(status_update)
+
+        # 5. Submit
         print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
         try:
             response = requests.post(submit_url, json=submission_data, timeout=60)