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

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
from serpapi import GoogleSearch

def get_google_scholar(topic: str, api_key: str) -> str:
    """
    Fetches search results from Google Scholar using SerpAPI.
    
    Args:
        topic (str): The search query topic.
        api_key (str): The API key for accessing SerpAPI.
    
    Returns:
        str: Formatted search results or an error message.
    """
    params = {
        "engine": "google_scholar",
        "q": topic,
        "api_key": api_key
    }

    try:
        search = GoogleSearch(params)
        results = search.get_dict()
        
        # Handle missing 'organic_results' key
        organic_results = results.get("organic_results", [])
        
        if not organic_results:
            return "No results found for this query."
        
        # Formatting the results in a readable way
        formatted_results = "\n".join([f"{i+1}. {res.get('title', 'No Title')} - {res.get('link', 'No Link')}" for i, res in enumerate(organic_results)])

        return f"Here are the results:\n{formatted_results}"

    except Exception as e:
        return f"Error fetching results: {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)}"


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
#google_scholar_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], ## 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()