from smolagents import CodeAgent, HfApiModel, load_tool, tool, DuckDuckGoSearchTool
import datetime
import requests
import pytz
import yaml
import base64
import os
import io
from PIL import Image
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

# 1. функции-инструменты

@tool
def web_search(query: str) -> str:
    """Search the web for information using DuckDuckGo.
    
    Args:
        query: The search query to look up
        
    Returns:
        Search results from DuckDuckGo
    """
    try:
        search_tool = DuckDuckGoSearchTool()
        results = search_tool(query)
        return f"**Результаты поиска по '{query}':**\n\n{results}"
    except Exception as e:
        return f"Ошибка поиска: {str(e)}"

@tool
def get_weather(city: str) -> str:
    """Get current weather for a city using wttr.in service.
    
    Args:
        city: The name of the city to get weather for (e.g., 'Moscow', 'London')
        
    Returns:
        Current weather information
    """
    try:
        url = f"http://wttr.in/{city}?format=%C+%t+%h+%w+%P&lang=ru&m"
        response = requests.get(url, timeout=10)
        
        if response.status_code == 200:
            data = response.text.strip()
            
            parts = data.split(' ')
            if len(parts) >= 4:
                condition = parts[0]  # Погодные условия
                temperature = parts[1]  # Температура
                humidity = parts[2]    # Влажность
                wind = parts[3]        # Ветер
                
                return (f"Погода в {city}:\n"
                       f"{temperature}\n"
                       f"{condition}\n"
                       f"Влажность: {humidity}\n"
                       f"Ветер: {wind}")
            else:
                return f"Погода в {city}: {data}"
        else:
            return f"Не удалось получить погоду для {city}"
            
    except Exception as e:
        return f"Ошибка: {str(e)}"
# 2. остальные объекты

final_answer = FinalAnswerTool()

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

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)

if "final_answer" not in prompt_templates:
    prompt_templates["final_answer"] = {
        "pre_messages": "Based on my research: ",
        "post_messages": ""
    }
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, web_search,get_weather],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()