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 wikipedia_search(query: str, results_limit: int = 5) -> str:
    """
    A tool that searches Wikipedia for a given query and returns a summary of the top result along with other potential matches.

    Args:
        query: The search query for Wikipedia.
        results_limit: The maximum number of search results to consider (default is 5).

    Returns:
        A string containing the top result's title and a short summary, as well as other related titles if available.
    """
    try:
        import wikipedia
    except ImportError:
        return "The 'wikipedia' library is not installed. Please install it using 'pip install wikipedia'."

    try:
        # Perform the search using Wikipedia's API
        search_results = wikipedia.search(query, results=results_limit)
        if not search_results:
            return f"No results found for '{query}'."

        # Fetch summary for the top result
        top_title = search_results[0]
        try:
            summary = wikipedia.summary(top_title, sentences=2)
        except Exception as e:
            summary = f"Could not retrieve summary for '{top_title}': {e}"

        # Format additional results if available
        other_results = search_results[1:]
        if other_results:
            others = ", ".join(other_results)
            return f"Top result: {top_title}\nSummary: {summary}\nOther results: {others}"
        else:
            return f"Top result: {top_title}\nSummary: {summary}"

    except Exception as e:
        return f"An error occurred during the Wikipedia search: {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 calculator_tool(expression: str) -> str:
    """
    A tool that evaluates a basic arithmetic expression using a safe calculator function.
    
    Args:
        expression: A string containing a basic arithmetic expression (e.g., "2+2", "3*4").
    
    Returns:
        The result of evaluating the expression as a string.
    """
    from Gradio_UI import calculator  # ADDED: Import the safe calculator function
    return calculator(expression)


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,
)


# 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, wikipedia_search, calculator_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()