import os
import gradio as gr
import requests
import pandas as pd

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

class BasicAgent:
    def __init__(self):
        print("Agente básico cargado.")

    def __call__(self, question: str) -> str:
        print(f"Pregunta recibida: {question}")
        return "This is a default answer."  # Puedes modificar esta línea luego

def run_and_submit_all(profile: gr.OAuthProfile | None):
    if profile:
        username = profile.username
    else:
        return "🔒 Por favor, inicia sesión con Hugging Face.", None

    space_id = os.getenv("SPACE_ID", "")
    if not space_id:
        return "❌ Falta la variable SPACE_ID", None

    agent = BasicAgent()
    questions_url = f"{DEFAULT_API_URL}/questions"
    submit_url = f"{DEFAULT_API_URL}/submit"

    try:
        response = requests.get(questions_url, timeout=10)
        questions = response.json()
    except Exception as e:
        return f"❌ Error al obtener preguntas: {e}", None

    results = []
    answers = []
    for q in questions:
        task_id = q.get("task_id")
        question = q.get("question")
        if task_id and question:
            answer = agent(question)
            results.append({"Task ID": task_id, "Question": question, "Submitted Answer": answer})
            answers.append({"task_id": task_id, "submitted_answer": answer})

    payload = {
        "username": username,
        "agent_code": f"https://huggingface.co/spaces/{space_id}/tree/main",
        "answers": answers
    }

    try:
        res = requests.post(submit_url, json=payload)
        res.raise_for_status()
        result_data = res.json()
        msg = (
            f"✅ Envío correcto\n"
            f"Usuario: {result_data.get('username')}\n"
            f"Puntuación: {result_data.get('score')}% "
            f"({result_data.get('correct_count')}/{result_data.get('total_attempted')})"
        )
        return msg, pd.DataFrame(results)
    except Exception as e:
        return f"❌ Error al enviar resultados: {e}", pd.DataFrame(results)

with gr.Blocks() as demo:
    gr.Markdown("# Evaluación del Agente GAIA")
    gr.LoginButton()
    btn = gr.Button("Enviar respuestas y evaluar")
    output = gr.Textbox(label="Resultado", lines=4)
    tabla = gr.DataFrame(label="Respuestas")

    btn.click(fn=run_and_submit_all, outputs=[output, tabla])

if __name__ == "__main__":
    demo.launch(debug=True)