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
from duckduckgo_search import DDGS

@tool
def web_search(query: str) -> str:
    """
    Searches the web for the given query and returns the top results.
    Args:
        query: The search query string to look up on the web.
    Returns:
        A formatted string with the top search results including title and snippet.
    """
    results = []
    with DDGS() as ddgs:
        for r in ddgs.text(query, max_results=3):
            results.append(f"Titel: {r['title']}\nSnippet: {r['body']}\n")
    return "\n".join(results) if results else "no result found using web_search"

@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 a value between common units (km/miles, kg/lbs, celsius/fahrenheit).
    Args:
        value: The numeric value to convert.
        from_unit: The source unit (e.g. 'km', 'kg', 'celsius').
        to_unit: The target unit (e.g. 'miles', 'lbs', 'fahrenheit').
    """
    conversions = {
        ("km", "miles"): lambda x: x * 0.621371,
        ("miles", "km"): lambda x: x * 1.60934,
        ("kg", "lbs"): lambda x: x * 2.20462,
        ("lbs", "kg"): lambda x: x * 0.453592,
        ("celsius", "fahrenheit"): lambda x: x * 9/5 + 32,
        ("fahrenheit", "celsius"): lambda x: (x - 32) * 5/9,
    }
    key = (from_unit.lower(), to_unit.lower())
    if key in conversions:
        result = conversions[key](value)
        return f"{value} {from_unit} = {result:.4f} {to_unit}"
    return f"Conversion from '{from_unit}' to '{to_unit}' is not supported."


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,
          get_current_time_in_timezone,
          web_search,
          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()