from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import re
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool
from tools.web_search import DuckDuckGoSearchTool

from Gradio_UI import GradioUI

#Inline tools
@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 to_leet_speak(text: str) -> str:
    """
    Converts a string to l33t speak using a substitution table.
    Args:
        text (str): A string to convert to l33t speak.
    """
    leet_table_basic = {
        'a': '4',
        'b': '8',
        'e': '3',
        'g': '6',
        'i': '1',
        'l': '1',
        'o': '0',
        's': '5',
        't': '7',
        'z': '2'
    }

    # Convert the text to l33t speak
    leet_text = []
    for char in text.lower():  # Convert to lowercase for case-insensitive matching
        leet_text.append(leet_table_basic.get(char, char))  # Use substitution if available, else keep the original character

    return ''.join(leet_text)

#Lib tools
visit_webpage = VisitWebpageTool()
final_answer = FinalAnswerTool()
web_search = DuckDuckGoSearchTool()
to_leet_speak_converter = to_leet_speak()


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# 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 config
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,
)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, visit_webpage, web_search, image_generation_tool, to_leet_speak_converter], ## 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()