import os
import gradio as gr
import requests
import pandas as pd
from agent import run_agent_on_question  # your real agent logic

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

class WrappedAgent:
    def __init__(self):
        print("Custom Agent loaded.")
    def __call__(self, question: str) -> str:
        # question comes with context already
        parts = question.split("|||", 1)
        raw_question = parts[-1]
        print(f"Calling run_agent_on_question on: {raw_question[:60]}...")
        return run_agent_on_question({"question": raw_question, "task_id": "N/A"})

def run_and_submit_all(profile: gr.OAuthProfile | None):
    space_id = os.getenv("SPACE_ID")
    if not profile:
        return "Please login to Hugging Face via the login button.", None
    username = profile.username
    questions_url = f"{DEFAULT_API_URL}/questions"
    submit_url = f"{DEFAULT_API_URL}/submit"

    agent = WrappedAgent()
    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"

    try:
        resp = requests.get(questions_url, timeout=15)
        resp.raise_for_status()
        questions = resp.json()
    except Exception as e:
        return f"Error fetching questions: {e}", None

    results = []
    answers = []

    for q in questions:
        task_id = q.get("task_id")
        question = q.get("question", "")
        # optionally fetch file: requests.get(BASE_URL + f"/files/{task_id}")

        full_input = f"{task_id}|||{question}"
        submitted = agent(full_input)
        answers.append({"task_id": task_id, "submitted_answer": submitted})
        results.append({"Task ID": task_id, "Question": question, "Submitted Answer": submitted})

    submission = {
        "username": username,
        "agent_code": agent_code,
        "answers": answers
    }
    try:
        sub_resp = requests.post(submit_url, json=submission, timeout=60)
        sub_resp.raise_for_status()
        data = sub_resp.json()
        status = (
            f"Submission Successful!\n"
            f"User: {data.get('username')}\n"
            f"Score: {data.get('score', 'N/A')}% "
            f"({data.get('correct_count','?')}/{data.get('total_attempted','?')})\n"
            f"{data.get('message')}"
        )
        return status, pd.DataFrame(results)
    except Exception as e:
        return f"Submission failed: {e}", pd.DataFrame(results)

with gr.Blocks() as demo:
    gr.Markdown("# Custom GAIA Evaluation Runner")
    gr.Markdown("Log in, click the button, and your agent runs through all GAIA questions.")
    gr.LoginButton()

    run_btn = gr.Button("Run Evaluation & Submit All Answers")
    out_txt = gr.Textbox(label="Run Status / Submission Result", interactive=False, lines=5)
    out_tbl = gr.DataFrame(label="Questions & Submitted Answer")
    run_btn.click(fn=run_and_submit_all, outputs=[out_txt, out_tbl])

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