app.py

import os
import gradio as gr
import requests
import inspect
import pandas as pd
from smoleagents_agent import OptimizedSmolagentsGAIAgent as SmolagentsGAIAgent

# --- Constants ---

DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"

def run_and_submit_all(profile: gr.OAuthProfile | None):
    """
    Fetches all questions, runs the Enhanced DirectToolAgent on them, submits all answers,
    and displays the results.
    """
    # --- Determine HF Space Runtime URL and Repo URL ---
    space_id = os.getenv("SPACE_ID")

    if profile:
        username = f"{profile.username}"
        print(f"User logged in: {username}")
    else:
        print("User not logged in.")
        return "Please Login to Hugging Face with the button.", None

    api_url = DEFAULT_API_URL
    questions_url = f"{api_url}/questions"
    submit_url = f"{api_url}/submit"

    # 1. Instantiate Enhanced Direct Tool Agent
    try:
        agent = SmolagentsGAIAgent()
        print("Enhanced Direct Tool Agent initialized successfully!")
    except Exception as e:
        print(f"Error instantiating enhanced direct tool agent: {e}")
        return f"Error initializing enhanced direct tool agent: {e}", None
    
    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
    print(f"Agent code link: {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 Enhanced DirectToolAgent
    results_log = []
    answers_payload = []
    print(f"Running enhanced direct tool agent on {len(questions_data)} questions...")
    
    for i, item in enumerate(questions_data):
        task_id = item.get("task_id")
        question_text = item.get("question")
        
        if not task_id or question_text is None:
            print(f"Skipping item with missing task_id or question: {item}")
            continue
            
        try:
            print(f"\n--- Processing Question {i+1}/{len(questions_data)} ---")
            print(f"Task ID: {task_id}")
            print(f"Question: {question_text[:100]}...")
            
            # Run the enhanced smolagents agent
            submitted_answer = agent.process_question(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
            })
            
            print(f"Answer: {submitted_answer[:100]}...")
            
        except Exception as e:
             print(f"Error running agent on task {task_id}: {e}")
             error_answer = f"AGENT ERROR: {str(e)[:100]}"
             answers_payload.append({"task_id": task_id, "submitted_answer": error_answer})
             results_log.append({
                 "Task ID": task_id, 
                 "Question": question_text, 
                 "Submitted Answer": error_answer
             })

    if not answers_payload:
        print("Enhanced DirectToolAgent did not produce any answers to submit.")
        return "Enhanced DirectToolAgent 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"Enhanced DirectToolAgent 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)
        response.raise_for_status()
        result_data = response.json()
        
        final_status = (
            f"Submission Successful!\n"
            f"User: {result_data.get('username')}\n"
            f"Overall Score: {result_data.get('score', 'N/A')}% "
            f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
            f"Message: {result_data.get('message', 'No message received.')}"
        )
        
        print("Submission successful!")
        results_df = pd.DataFrame(results_log)
        return final_status, results_df
        
    except requests.exceptions.HTTPError as e:
        error_detail = f"Server responded with status {e.response.status_code}."
        try:
            error_json = e.response.json()
            error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
        except requests.exceptions.JSONDecodeError:
            error_detail += f" Response: {e.response.text[:500]}"
        
        status_message = f"Submission Failed: {error_detail}"
        print(status_message)
        results_df = pd.DataFrame(results_log)
        return status_message, results_df
        
    except requests.exceptions.Timeout:
        status_message = "Submission Failed: The request timed out."
        print(status_message)
        results_df = pd.DataFrame(results_log)
        return status_message, results_df

    except requests.exceptions.RequestException as e:
        status_message = f"Submission Failed: Network error - {e}"
        print(status_message)
        results_df = pd.DataFrame(results_log)
        return status_message, results_df

    except Exception as e:
        status_message = f"An unexpected error occurred during submission: {e}"
        print(status_message)
        results_df = pd.DataFrame(results_log)
        return status_message, results_df


# --- Build Gradio Interface using Blocks ---
with gr.Blocks(title="Enhanced Smolagents GAIA Agent") as demo:
    gr.Markdown("# Enhanced Smolagents GAIA Agent Evaluation")
    gr.Markdown(
        """
        ## Instructions:
        1. **Login** to Hugging Face using the button below
        2. **Click** 'Run Enhanced Evaluation & Submit All Answers'
        3. **Wait** for your enhanced smolagents agent to process all questions
        4. **View** your score and detailed results

        ## How the Enhanced Agent Works:
        - **Smart Capability Detection**: Automatically detects available tools
        - **Fallback Strategy**: Uses basic responses when advanced features unavailable
        - **Enhanced Responses**: Leverages Wikipedia, web search, and data tools when possible
        - **Zero-Error Operation**: Guaranteed to complete all questions regardless of available features

        **Note**: This enhanced version maximizes capabilities while maintaining complete reliability.
        """
    )

    gr.LoginButton()

    run_button = gr.Button("Run Enhanced Smolagents GAIA Evaluation & Submit All Answers", variant="primary")

    status_output = gr.Textbox(
        label="📊 Run Status / Submission Result", 
        lines=10, 
        interactive=False
    )
    
    results_table = gr.DataFrame(
        label="📋 Questions and Agent Answers",
        wrap=True
    )

    run_button.click(
        fn=run_and_submit_all,
        outputs=[status_output, results_table]
    )

if __name__ == "__app__":
    print("\n" + "="*60 + " Enhanced Smolagents GAIA Agent Starting " + "="*60)

    # Check environment variables
    space_host_startup = os.getenv("SPACE_HOST")
    space_id_startup = os.getenv("SPACE_ID")

    if space_host_startup:
        print(f"[OK] SPACE_HOST found: {space_host_startup}")
        print(f"   Runtime URL: https://{space_host_startup}.hf.space")
    else:
        print("[INFO] SPACE_HOST not found (running locally)")

    if space_id_startup:
        print(f"[OK] SPACE_ID found: {space_id_startup}")
        print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
        print(f"   Code URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
    else:
        print("[INFO] SPACE_ID not found (running locally)")

    print("="*(120 + len(" Enhanced Smolagents GAIA Agent Starting ")) + "\n")

    print("Launching Enhanced Smolagents GAIA Agent Evaluation Interface...")
    demo.launch(debug=True, share=False)