import os

from bs4 import BeautifulSoup
from dotenv import load_dotenv
from smolagents import CodeAgent, DuckDuckGoSearchTool, PythonInterpreterTool, tool
import requests

load_dotenv()
DEFAULT_URL = os.getenv("DEFAULT_URL")

@tool
def visit_webpage(url: str) -> dict:
    """
    Visits a webpage and extracts clean text from it.

    Args:
        url: The URL of the page to visit (e.g., https://en.wikipedia.org/wiki/OpenAI)

    Returns:
        dict: A dictionary containing:
            - "text": Truncated page content
            - "url": The original URL
            - "status": HTTP status or error info
    """
    try:
        response = requests.get(url, timeout=10)
        response.raise_for_status()
        soup = BeautifulSoup(response.text, "html.parser")
        text = soup.get_text(separator="\n", strip=True)
        short_text = text[:3000]

        print(f"✅ Extracted {len(short_text)} characters from {url}")
        return {
            "text": short_text,
            "url": url,
            "status": f"Success ({response.status_code})"
        }


    except Exception as e:
        return {
            "text": "",
            "url": url,
            "status": f"Error: {e}"
        }


@tool
def fetch_file(task_id: str) -> dict:
    """
        Fetches a file from the task Api.
        Args:
            task_id: The ID of the task to fetch.
        Returns:
            dict: task_id, content, status

    """
    url = f"{DEFAULT_URL}/files/{task_id}"
    try:
        response = requests.get(url, timeout=10)
        response.raise_for_status()
        return {
            "task_id": task_id,
            "content": response.text[:5000],
            "status": f"Success ({response.status_code})"
        }
    except Exception as e:
        return {
            "task_id": task_id,
            "content": "",
            "status": f"Error: {e}"
        }


class Agent:
    def __init__(self, model):
        self.agent = CodeAgent(
            model=model,
            tools=[DuckDuckGoSearchTool(), PythonInterpreterTool(), visit_webpage, fetch_file],
            additional_authorized_imports=['pandas', 'numpy', 'csv', 'PIL', 're'],
            max_steps=10
        )

    def __call__(self, question: str, taskid: str):
        self.agent_prompt = f"""
                            You will be given a question.
                            Answer it as concise as possible for example:

                            What is capital of Poland?
                            Warsaw

                            If you don't know the answer, just say "I don't know".

                            You can use the following tools:
                            - DuckDuckGoSearchTool: for searching the web...
                            ...
                            Example usage:
                            web_search('Your search')

                            - PythonInterpreterTool(): for calculations or parsing text/numbers.
                            - visit_webpage(): for opening URLs and reading page content.
                            
                            Answer in max 10 steps.
                            If you need to fetch a file, use fetch_file({taskid})
                            The question is: {question}
                        """
        task_prompt = self.agent_prompt + question
        answer = self.agent.run(task_prompt)
        return answer