from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, load_tool, tool, LiteLLMModel
import datetime
import requests
import json
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Start local
# source .venv/bin/activate

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_cutom_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_current_weather_by_city(city: str) -> str:
    '''Retrieves the current and forecasted weather for a specified city.
    Args:
        city: The name of the city (e.g., "New York")
    Return:
        A string with weather information
    '''
    # API Geocoding от Open-Meteo
    geocoding_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1&language=en&format=json"
    response_geocoding = requests.get(geocoding_url)
    
    if response_geocoding.status_code == 200:
        data_geocoding = response_geocoding.json()
        
        if 'results' in data_geocoding and len(data_geocoding['results']) > 0:
            result = data_geocoding['results'][0]
            lat = result.get('latitude', None)
            lon = result.get('longitude', None)
            
            if lat is not None and lon is not None:
                # Получаем погоду по координатам
                weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true&hourly=temperature_2m"
                response_weather = requests.get(weather_url)
                
                if response_weather.status_code == 200:
                    data_weather = response_weather.json()
                    
                    current_temp = data_weather['current_weather']['temperature'] if 'current_weather' in data_weather else None
                    hourly_temps = data_weather['hourly']['temperature_2m'] if 'hourly' in data_weather and 'temperature_2m' in data_weather['hourly'] else []
                    
                    weather_info = f"Current temperature: {current_temp}°C\n"
                    weather_info += "Hourly temperatures:\n"
                    
                    for temp in hourly_temps:
                        weather_info += f"{temp}°C\n"
                    
                    return weather_info
                else:
                    return f"Failed to retrieve weather data. Status code: {response_weather.status_code}"
            else:
                return "Latitude and Longitude not found."
        else:
            return "No results found for the specified city."
    else:
        return f"Geocoding failed. Status code: {response_geocoding.status_code}"

# Execute the function and prepare the final answer
#result = get_current_weather_by_city("New York")
#final_answer = f"The current weather in New York is:\n{result}"
#print(final_answer)

final_answer = FinalAnswerTool()

# Local: mcedit  ~/.bashrc
# export hf_token="your_hugging_face_token"
# source ~/.bashrc
#'''
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-72B-Instruct',
    custom_role_conversions=None,
    token=os.getenv('hf_token'),
)
#'''

'''
# Локальная модель:
# ollama = Запустился номально, qwen2.5-coder:7b немного справляется
model = LiteLLMModel(
    model_id="ollama/qwen2.5-coder:7b",
    max_tokens=2096,
    temperature=0.6,
    api_base="http://localhost:11434",
    num_ctx=8192
)
'''

# print("Model Image")
# 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,
        get_current_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
)

print("Start GradioUI")

GradioUI(agent).launch()