from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from typing import Optional
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
# @tool
# def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
#     #Keep this format for the description / args / args description but feel free to modify the tool
#     """A tool that does nothing yet 
#     Args:
#         arg1: the first argument
#         arg2: the second argument
#     """
#     return "What magic will you build ?"

# from smolagents import tool


@tool
def search_hotels(
    cityname: str,
    check_in_date: str,
    check_out_date: str,
    num_of_adults: int = 1,
    num_of_rooms: int = 1,
    
) -> str:
    """Searches for hotels in a given city using MakCorps API.
    
    Args:
        cityname: Name of the city to search hotels in.
        check_in_date: Date of check-in in YYYY-MM-DD format.
        check_out_date: Date of check-out in YYYY-MM-DD format.
        num_of_adults: Number of adults staying.
        num_of_rooms: Number of rooms required.
    """
    import requests
    import os

    api_key = '67f1515138cc22f7030316b9' #os.getenv("MAKCORPS_API_KEY")  # Store API key as an environment variable for security

    url_template = (
        "https://api.makcorps.com/citysearch/"
        "{cityname}/{page}/{currency}/{num_of_rooms}/{num_of_adults}/{check_in_date}/{check_out_date}"
    )

    url = url_template.format(
        cityname=cityname,
        page=page,
        currency=currency,
        num_of_rooms=num_of_rooms,
        num_of_adults=num_of_adults,
        check_in_date=check_in_date,
        check_out_date=check_out_date,
    )

    full_url = f"{url}?api_key={api_key}"

    try:
        response = requests.get(full_url)
        data = response.json()

        # Format and return top 3 hotels for brevity
        if "data" not in data or not data["data"]:
            return f"No hotel data found for {cityname}."

        hotels = data["data"]
        formatted_hotels = []

        for hotel in hotels[:3]:  # Limit to top 3 results
            name = hotel.get("hotel_name", "Unknown Hotel")
            price = hotel.get("lowest_avg_price", "N/A")
            formatted_hotels.append(f"{name} - from {price} {currency}")

        return f"Top hotels in {cityname}:\n" + "\n".join(formatted_hotels)

    except Exception as e:
        return f"Error fetching hotel data: {str(e)}"


@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"


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
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=[final_answer,search_hotels,DuckDuckGoSearchTool], ## 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()