from smolagents import CodeAgent, HfApiModel,load_tool,tool
import requests
import yaml
import json
from tools.final_answer import FinalAnswerTool
from tools.web_search import DuckDuckGoSearchTool
from bs4 import BeautifulSoup
from duckduckgo_search import DDGS
import re
from typing import List, Dict, Any
from Gradio_UI import GradioUI


@tool
def get_healthy_cheat_meal(diet_type: str) -> List[Dict[str, Any]]:
    """Search for healthy sweet dish alternatives based on specific diet types.

    Args:
        diet_type: The specific diet type (e.g., Keto, Paleo, Vegan).

    Returns:
        A list of dictionaries containing 'recipe_name', 'url', 'ingredients', and 'instructions'.
    """
    query = f"healthy {diet_type} sweet dish recipe"
    recipes = []

    try:
        ddgs = DDGS()
        search_results = ddgs.text(query, region="us-en", safesearch="moderate", max_results=10)

        if not search_results:
            return [{"error": "No recipes found"}]

        for result in search_results:
            title = result.get('title', '').split(' - ')[0].strip()
            url = result.get('href', '')

            if not url:
                continue  # Skip if no URL

            # Fetch recipe details
            details = visit_webpage(url)

            # Skip recipes with errors
            if "error" in details:
                continue

            recipes.append({
                "recipe_name": title,
                "url": url,
                "ingredients": details.get("ingredients", []),
                "instructions": details.get("instructions", [])
            })

        return recipes if recipes else [{"error": "No valid recipes found"}]

    except Exception as e:
        return [{"error": f"An error occurred: {str(e)}"}]

@tool
def visit_webpage(url: str) -> Dict[str, Any]:
    """Visits a webpage and extracts ingredients and instructions.

    Args:
        url: The recipe URL.

    Returns:
        A dictionary containing 'ingredients' and 'instructions', or an error message if the URL is invalid.
    """
    try:
        # Validate URL format before making a request
        if not url.startswith("http"):
            return {"error": f"Invalid URL format: {url}"}

        response = requests.get(url, timeout=10, headers={
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
        })
        response.raise_for_status()  # Raise an error for 404, 403, etc.

        soup = BeautifulSoup(response.content, 'html.parser')

        # Extract ingredients
        ingredients = [tag.get_text(strip=True) for tag in soup.select('ul li, .ingredient')]
        if not ingredients:
            ingredients = [tag.get_text(strip=True) for tag in soup.find_all('li') if "ingredient" in tag.get_text(strip=True).lower()]

        # Extract instructions
        instructions = [tag.get_text(strip=True) for tag in soup.select('ol li, .instruction, .step')]
        if not instructions:
            instructions = [tag.get_text(strip=True) for tag in soup.find_all('p') if "step" in tag.get_text(strip=True).lower()]

        return {
            "ingredients": ingredients if ingredients else [],
            "instructions": instructions if instructions else []
        }

    except requests.exceptions.HTTPError as http_err:
        return {"error": f"HTTP error {response.status_code}: {http_err}"}

    except requests.exceptions.RequestException as req_err:
        return {"error": f"Request failed: {req_err}"}

    except Exception as e:
        return {"error": f"Failed to scrape {url}: {str(e)}"}
        
# Initialize tools
final_answer = FinalAnswerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
#model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
model_id = 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
custom_role_conversions=None,
)


# Import tool from Hub
#image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[get_healthy_cheat_meal, visit_webpage, final_answer], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()