from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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 enhanced_translate(
    text: str, 
    target_language: str, 
    source_language: str = "auto", 
    domain: str = "general",
    preserve_formatting: bool = True
) -> str:
    """Translate text with advanced options.
    Args:
        text: Text to translate
        target_language: Target language code (e.g., 'fr' for French)
        source_language: Source language or 'auto' for detection
        domain: Specialized domain ('general', 'medical', 'legal', 'technical')
        preserve_formatting: Whether to maintain text formatting
    """
    try:
        # Could use different backends based on domain
        # This example uses deep_translator but could be extended
        from deep_translator import GoogleTranslator, DeepL
        
        # Select appropriate service based on domain and languages
        if domain == "general":
            translator = GoogleTranslator(source=source_language, target=target_language)
        elif domain in ["legal", "medical"] and target_language in ["en", "de", "fr"]:
            # DeepL might be better for certain domain/language combinations
            translator = DeepL(source=source_language, target=target_language, domain=domain)
        else:
            translator = GoogleTranslator(source=source_language, target=target_language)
            
        # Handle formatting preservation
        if preserve_formatting and "<" in text and ">" in text:
            # Simple HTML handling (a more robust solution would use proper HTML parsing)
            import re
            # Extract tags and replace with placeholders
            tags = re.findall(r'<[^>]+>', text)
            for i, tag in enumerate(tags):
                text = text.replace(tag, f"__TAG_{i}__")
                
            # Translate the text without tags
            translated = translator.translate(text)
            
            # Restore tags
            for i, tag in enumerate(tags):
                translated = translated.replace(f"__TAG_{i}__", tag)
        else:
            translated = translator.translate(text)
            
        return f"Translation ({domain} domain): {translated}"
    except Exception as e:
        return f"Translation failed: {str(e)}"
        
@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 generate_image(prompt: str) -> str:
    """
    A tool that generates an image from a text prompt using Replicate's Stable Diffusion API.
    
    Args:
        prompt: A detailed text description of the image to generate.

    Returns:
        A URL of the generated image.
    """
    try:
        api_url = "https://replicate.com/api/models/stability-ai/stable-diffusion"
        response = requests.post(api_url, json={"input": {"prompt": prompt}})

        if response.status_code == 200:
            return response.json().get("output", ["Image generation failed."])[0]
        else:
            return f"Error: {response.status_code} - {response.text}"

    except Exception as e:
        return f"Failed to generate image: {str(e)}"

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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded
custom_role_conversions=None,
)

# Import tool from Hub
image_generation_tool = load_tool("m-ric/text-to-image", trust_remote_code=True)
search_tool = DuckDuckGoSearchTool()
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,enhanced_translate,image_generation_tool,search_tool ], ## 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()