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

from Gradio_UI import GradioUI

import os
from smolagents import LiteLLMModel

def get_time_in_seconds(timezone_name: str) -> int:
    """
    Returns the current time in the given timezone as seconds since epoch.
    
    Args:
        timezone_name (str): Name of the timezone (e.g., 'America/New_York')
        
    Returns:
        int: Seconds since the Unix epoch in the given timezone.
    """
    tz = pytz.timezone(timezone_name)
    now = datetime.now(tz)
    # Convert to UTC then to timestamp (seconds since epoch)
    return int(now.astimezone(pytz.utc).timestamp())


@tool
def calculate_time_difference(timezone: str, other_timezone: str)-> float: 
    
    """A tool that does nothing yet 
    Args:
        timezone: the reference timezone
        other_timezone: the timezone to compare against the reference
    Returns:
        int: the time difference between the two timezones in hours, negative value means the other tiemzone is behind
    """

    time1_seconds = get_time_in_seconds(timezone)
    time2_seconds = get_time_in_seconds(other_timezone)
    diff = time1_seconds - time2_seconds
    
    hours = diff/3600
    
    return hours
    
@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.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
# token = os.getenv("HF_TOKEN"),
# custom_role_conversions=None,
# )


model = LiteLLMModel(model_id="gemini/gemini-2.0-flash-lite", api_key=os.getenv("GEMINI_API_KEY"))

# Import tool from Hub
# image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# result = image_generation_tool("A dog sitting on a chair")
# print(result)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, calculate_time_difference], ## add your tools here (don't remove final answer) , get_current_time_in_timezone, image_generation_tool
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()