Debug configuration for GAIAAnsweringWorkflow-based app

app.py

@@ -3,6 +3,11 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from workflow import GAIAAnsweringWorkflow
+
+
+from dotenv import load_dotenv
+load_dotenv()
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +15,16 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
+class JeSaisToutAgent(GAIAAnsweringWorkflow):
     def __init__(self):
-        print("BasicAgent initialized.")
+        super().__init__()
+        print("Agentics Workflow initialized.")
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        answer = "This is a default answer."
+        answer=super().__call__(question)
+        print(f"Agent returning answer: {answer}")
+        return answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -40,7 +47,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        agent = BasicAgent()
+        agent = JeSaisToutAgent()
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
@@ -58,13 +65,13 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
              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 requests.exceptions.RequestException as e:
+        print(f"Error fetching questions: {e}")
+        return f"Error fetching 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
@@ -90,12 +97,19 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     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)
-
+    if os.getenv("TESTRUN"):
+        print("Skipping submission in test environment.")
+        return "Skipping submission in test environment.", 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 os.getenv("TESTRUN"):
+        print(f"Skipping submission in test environment. \n{submission_data}")
+        return "Skipping submission in test environment.", pd.DataFrame(submission_data)
+    
     # 5. Submit
     print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
     try: