from smolagents import CodeAgent, HfApiModel, load_tool, tool, VisitWebpageTool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from duckduckgo_search import DDGS


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 important to specify the return type
    """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 ai_act_search_tool(query: str, max_results: int = 5) -> list:
    """Searches for highly relevant articles on the AI Act using DuckDuckGo.
    Args:
        query: The search query.
        max_results: The maximum number of results to return.
    Returns:
        A list of URLs to relevant articles.
    """
    with DDGS() as ddgs:
        search_results = ddgs.text(query + " AI Act", max_results)
    return [{"title": result["title"], "link": result["href"]} for result in search_results] if search_results else ["No relevant articles found."]



#@tool
#def fetch_url(url: str) -> str:
#    """Fetches the content of a given URL and returns the raw text.
#    Args:
#        url: The URL to fetch content from.
#    Returns:
#        The raw text content of the page, or an error message if fetching fails.
#    """
#    response = requests.get(url)
#    return response.text if response.status_code == 200 else "Failed to fetch content."

final_answer = FinalAnswerTool()
visit_webpage = VisitWebpageTool()


# 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, image_generation_tool, ai_act_search_tool, visit_webpage],  # Added AI Act search tool
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()