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 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 web_search(query: str) -> str:
    """
    Performs a web search to find up-to-date information on a topic.
    Args:
        query: The search string to look up.
    """
    try:
        from duckduckgo_search import DDGS
        results = DDGS().text(query, max_results=3)
        if not results:
            return "No results found."
        return "\n".join([f"Source: {r['href']}\nContent: {r['body']}" for r in results])
    except Exception as e:
        return f"Search failed: {str(e)}"

@tool
def calculate_compound_interest(principal: float, rate: float, time: int, frequency: int = 12) -> str:
    """
    Calculates compound interest for financial projections.
    Args:
        principal: The initial investment amount.
        rate: The annual interest rate (as a decimal, e.g., 0.05 for 5%).
        time: The number of years the money is invested.
        frequency: How many times interest is compounded per year (default 12 for monthly).
    """
    # Formula: A = P(1 + r/n)^(nt)
    amount = principal * (1 + rate/frequency)**(frequency * time)
    interest = amount - principal
    return f"After {time} years, the total balance will be {amount:.2f} (Interest earned: {interest:.2f})."

@tool
def get_system_stats() -> str:
    """
    Checks the current CPU and Memory usage of the local machine.
    No arguments required.
    """
    try:
        import psutil
        cpu = psutil.cpu_percent(interval=1)
        ram = psutil.virtual_memory().percent
        return f"System Status: CPU Usage at {cpu}% | RAM Usage at {ram}%."
    except ImportError:
        return "Error: 'psutil' library not installed. Please pip install psutil."


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], ## 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()