from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pygame
import time
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI, set_audio_url

# 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)}"
        
def play_audio_from_url(url):
    # Initialize the pygame mixer
    pygame.mixer.init()

    # Stream the audio content from the URL
    response = requests.get(url, stream=True)
    response.raise_for_status()

    # Load the audio data into a BytesIO object
    audio_data = BytesIO(response.content)

    # Load the audio data into pygame
    pygame.mixer.music.load(audio_data, 'mp3')

    # Play the audio
    pygame.mixer.music.play()

    # Keep the script running while the audio is playing
    while pygame.mixer.music.get_busy():
        pygame.time.Clock().tick(10)
        
@tool
def play_preview_deezer(track: str, artist:str) -> str:
    """Play a preview of a track from Deezer.
    Args:
        track: The track to play.
        artist: The artist of the track.
    """
    
    # Define the API endpoint
    url = "https://api.deezer.com/search"

    # Define the query parameters
    params = {
        "q": f'track:"{track}" artist:"{artist}"',
    }
    print(params)

    # Make the GET request
    response = requests.get(url, params=params)

    # Check if the request was successful
    if response.status_code == 200:
        data = response.json()
        print([data_sample['title'] for data_sample in data['data']])
        # Print the first track from the search results
        if len(data['data']) > 0:
            first_track = data['data'][0]
            for data_sample in data['data']:
                if track in data_sample['title'] and (artist in data_sample['artist']['name'] or artist in data_sample["title"]):
                    first_track = data_sample
                    break
            print(f"Title: {first_track['title']}")
            print(f"Artist: {first_track['artist']['name']}")
            print(f"Album: {first_track['album']['title']}")
            print(f"link: {first_track['link']}")
            # Play the track
            print("Playing preview: ", first_track['preview'])
            set_audio_url(first_track['preview'])
            return f'{first_track["title"]} by {first_track["artist"]["name"]} is playing.'
        else:
            raise ValueError("No tracks found.")
    else:
        raise ValueError(f"Error: {response.status_code}")
        
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,
)
duckduckgo_tool = DuckDuckGoSearchTool()


# 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, play_preview_deezer], ## 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()