from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, VisitWebpageTool
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)}"


from smolagents import tool
import requests

@tool
def get_weather_by_city(city_name: str) -> str:
    """
    Возвращает текущую температуру в указанном городе.

    Args:
        city_name: Название города на английском языке. Примеры: "Berlin".

    Returns:
        str: Погода в формате "Текущая погода в [город]: (описываешь погоду на том языке, на котором был задан вопрос.).
    """
    # Шаг 1: Получаем координаты города
    geocoding_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city_name}&count=1&language=en&format=json"
    
    try:
        # Запрос координат
        geo_response = requests.get(geocoding_url)
        geo_response.raise_for_status()
        geo_data = geo_response.json()

        if not geo_data.get("results"):
            return f"Город '{city_name}' не найден"
            
        city_data = geo_data["results"][0]
        latitude = city_data["latitude"]
        longitude = city_data["longitude"]

    except requests.RequestException as e:
        return f"Ошибка геокодинга: {str(e)}"
    except KeyError:
        return "Некорректный ответ от API геокодинга"

    # Шаг 2: Получаем погоду
    weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={latitude}&longitude={longitude}&current_weather=true"
    
    try:
        weather_response = requests.get(weather_url)
        weather_response.raise_for_status()
        weather_data = weather_response.json()
        
        current = weather_data["current_weather"]
        return (
            f"Погода в {city_name}:\n"
            f"• Температура: {current['temperature']}°C\n"
            f"• Скорость ветра: {current['windspeed']} км/ч\n"
            f"• Направление ветра: {current['winddirection']}°\n"
            f"• Погодный код: {current['weathercode']}\n"
            f"• Время измерения: {current['time'][-5:]}"
        )

    except requests.RequestException as e:
        return f"Ошибка запроса погоды: {str(e)}"
    except KeyError:
        return "Некорректный ответ от API погоды"
        

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_weather_by_city], ## 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()