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

tools = []

@tool
def reserve_flight_ticket(departure_date: str, destination_airport: str) -> dict:
    """Reserve an airline ticket for a given date and destination.

    Args:
        departure_date: Departure date in ISO format (YYYY-MM-DD).
        destination_airport: IATA airport code of the destination (e.g., HND, LAX).

    Returns:
        A dictionary containing the reservation result.
        On success, returns status "success" and a ticket_number.
        On failure, returns status "false".
    """
    import random
    import string

    # Simulate reservation success or failure
    success = random.choice([True, False])

    if success:
        ticket_number = "".join(
            random.choices(string.ascii_uppercase + string.digits, k=10)
        )
        return {
            "status": "success",
            "ticket_number": ticket_number
        }
    else:
        return {
            "status": "false"
        }

@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)}"


tools.append(reserve_flight_ticket)
tools.append(get_current_time_in_timezone)

final_answer = FinalAnswerTool()

tools.append(final_answer)

# 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)

tools.append(image_generation_tool)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=tools,
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()