# app.py

import os
import gradio as gr
import requests
import pandas as pd
from bs4 import BeautifulSoup

from smolagents import CodeAgent, tool, InferenceClientModel

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

# --- Custom Web Search Tool (avoiding proxies) ---
@tool
def simple_search(query: str) -> str:
    """
    Search DuckDuckGo via HTML parsing.

    Args:
        query (str): search query string.

    Returns:
        str: top 3 titles and URLs.
    """
    try:
        resp = requests.get(
            "https://html.duckduckgo.com/html/",
            params={"q": query},
            timeout=10
        )
        resp.raise_for_status()
        soup = BeautifulSoup(resp.text, "html.parser")
        results = []
        for a in soup.select("a.result__a")[:3]:
            title = a.get_text()
            url = a["href"]
            results.append(f"- {title}\n  {url}")
        return "\n".join(results) if results else "No results."
    except Exception as e:
        return f"Search error: {e}"

# --- Enhanced Agent ---
class BasicAgent:
    def __init__(self):
        print("BasicAgent initialized.")
        self.model = InferenceClientModel()
        self.agent = CodeAgent(
            model=self.model,
            tools=[simple_search]
        )

    def __call__(self, question: str) -> str:
        print("Received:", question[:50], "...")
        try:
            return self.agent.run(question)
        except Exception as e:
            return f"Agent run error: {e}"

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

    try: agent = BasicAgent()
    except Exception as e:
        return f"Agent init error: {e}", None

    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
    try:
        r = requests.get(questions_url, timeout=15)
        r.raise_for_status()
        qs = r.json()
    except Exception as e:
        return f"Fetch questions error: {e}", None

    logs, payload = [], []
    for item in qs:
        tid, q = item.get("task_id"), item.get("question")
        if not tid or q is None: continue
        ans = agent(q)
        payload.append({"task_id": tid, "submitted_answer": ans})
        logs.append({"Task ID": tid, "Question": q, "Submitted Answer": ans})

    if not payload:
        return "No answers generated.", pd.DataFrame(logs)

    submit = {"username": username, "agent_code": agent_code, "answers": payload}
    try:
        resp = requests.post(submit_url, json=submit, timeout=60)
        resp.raise_for_status()
        data = resp.json()
        status = (
            f"✅ Score: {data.get('score','N/A')}% "
            f"({data.get('correct_count','?')}/{data.get('total_attempted','?')} correct)\n"
            f"{data.get('message','No message')}"
        )
        return status, pd.DataFrame(logs)
    except Exception as e:
        return f"Submit error: {e}", pd.DataFrame(logs)

# --- Gradio UI ---
with gr.Blocks() as demo:
    gr.Markdown("# GAIA Evaluation Runner")
    gr.LoginButton()
    run_btn = gr.Button("Run Evaluation & Submit")
    status = gr.Textbox(lines=5, interactive=False)
    results = gr.DataFrame(wrap=True)
    run_btn.click(run_and_submit_all, outputs=[status, results])

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