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 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 convert_units(value: float, from_unit: str, to_unit: str) -> str:
    """Converts between common units (length, weight, temperature). Useful for unit conversion tasks.

    Args:
        value: The numerical value to convert
        from_unit: The original unit (e.g., 'km', 'kg', 'C')
        to_unit: The target unit (e.g., 'miles', 'lb', 'F')
    """
    conversions = {
        ('km', 'miles'): lambda x: x * 0.621371,
        ('miles', 'km'): lambda x: x / 0.621371,
        ('kg', 'lb'): lambda x: x * 2.20462,
        ('lb', 'kg'): lambda x: x / 2.20462,
        ('C', 'F'): lambda x: (x * 9/5) + 32,
        ('F', 'C'): lambda x: (x - 32) * 5/9
    }
    try:
        key = (from_unit.strip().lower(), to_unit.strip().lower())
        func = conversions[key]
        result = func(value)
        return f"{value} {from_unit} = {result:.2f} {to_unit}"
    except KeyError:
        return f"Unsupported conversion from {from_unit} to {to_unit}."
    except Exception as e:
        return f"An unexpected error occurred: {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, convert_units], ## 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()