from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import os
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 get_aqi(city:str, state:str, country:str)-> str:
    """A tool that fetches the specified city's air quality data. 
    Args:
        city: city's English name
        state: state's English name
        country: country's English name
    """
    try:
        IQAIR_API_KEY = os.environ["IQAIR_API_KEY"]
        url = f"http://api.airvisual.com/v2/city?city={city}&state={state}&country={country}&key={IQAIR_API_KEY}"
        payload={}
        headers = {}

        response = requests.request("GET", url, headers=headers, data=payload)

        data_json = response.json()
        if data_json["status"] == "success":
            aqius = data_json["data"]["current"]["pollution"]["aqius"]
            return f"The current air quality in {city} is {aqius}."
        else:
            return "No air quality data was fetched.";

    except requests.exceptions.Timeout:
        return "The request timed out. Please try again later or check the URL."
    except requests.exceptions.RequestException as e:
        return f"Error fetching the IQAir API: {str(e)}"
    except Exception as e:
        return f"An unexpected error occurred: {str(e)}"

@tool
def air_purifier_switch(cmd:str) -> str:
    """A tool to turn the air purifier on/off.
    Args:
        cmd: Switch command (on/off). on - turn on; off - turn off.
    """
    if cmd != "on" and cmd != "off":
        return "Illegal air purifier switch command.";
    
    return f"The air purifier has been successfully turned {cmd}."

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=[get_aqi, air_purifier_switch, 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()