from smolagents import CodeAgent, HfApiModel, load_tool, tool
import datetime
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

@tool
def find_recycling_center(waste_type: str, location: str) -> str:
    """
    Finds a recycling center for a specific type of waste in a given location.
    Args:
        waste_type: The type of waste to recycle (e.g., 'plastic bottles').
        location: The location where the user is based (e.g., 'Moscow, Russia').
    """
    recycling_info = {
        "plastic bottles": "You can recycle plastic bottles at your local supermarket or recycling center.",
        "paper": "Paper can be recycled at most municipal recycling centers.",
        "electronics": "Electronics should be taken to specialized e-waste recycling facilities."
    }
    if waste_type.lower() in recycling_info:
        return f"In {location}, {recycling_info[waste_type.lower()]} Please check their website for opening hours."
    else:
        return f"Sorry, I don't have information about recycling {waste_type} in {location}. Please contact your local waste management service for assistance."

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """
    Fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'Europe/Moscow').
    """
    try:
        tz = pytz.timezone(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()

# Define AI_assistant or import it if it's from another module
AI_assistant = {
    'role1': 'conversion1',
    'role2': 'conversion2'
    # Add other role conversions as needed
}

# Initialize the model
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=AI_assistant,
)

# Load prompt templates from a YAML file
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Create the agent with the specified model and tools
agent = CodeAgent(
    model=model,
    tools=[final_answer, find_recycling_center],  # Add the recycling tool here
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

# Launch the Gradio UI with the agent
GradioUI(agent).launch(share=False)