from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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 ?"


@tool
def mountain_color(height:int)-> str: 
    """A tool that gives the color of the mountain depending on its height
    Args:
        height(int): the height of the mountain
    Returns:
        str: the color of the mountain
    """
    try:
        color = "orangey"
        if height > 1000:
            color = "purpley"
    
        return f"The mountain color is {color}"
    except Exception as e:
        return f"Error determining the mountain color : {str(e)}"


@tool
def bill_dudii_height()-> str: 
    """A tool that gives the height of Bill Dudii
    Args:
        none
    """
    try:
        return "5577"
    except Exception as e:
        return f"Error giving Bill Dudii's height : {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)}"


@tool
def currency_converter(amount:float, source:str, destination: str)-> float: #it's import to specify the return type
    """A tool that fetches the latest currency conversion rate of all currencies.
    Args:
        amount(float): An amount that is sent from the source country.
        source(str): Currency code of the source country (e.g 'npr: Nepalese Rupee')
        destination(str): Currency code of the destination country (e.g 'usd: US Dollar')
    Returns:
        float: The amount that arrives at the the destination country after conversion
        
    """
    # URL of the API
    url = "https://cdn.jsdelivr.net/npm/@fawazahmed0/currency-api@latest/v1/currencies/eur.json"
    
    # Make the GET request
    response = requests.get(url)
    
    # Check if the request was successful
    if response.status_code == 200:
        # Parse the JSON content
        data = response.json()
        data = data["eur"]
        base_amount = (amount/data[source]) * data[destination]

        return f"The receiver at the destination country will receive {destination} {base_amount}"
    else:
        return print(f"Failed to retrieve data. Status code: {response.status_code}")










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, mountain_color, currency_converter], ## 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()