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

from Gradio_UI import GradioUI

@tool
def create_dict_for_lookup(
    main_condition: str = None, 
    keywords: list[str] = None,
    country: str = None
)-> dict:
    """A tool that returns a dictionary with keys main_condition, keywords, and country with values given as args
    Args:
        main_condition: The main medical condition to be consodered for look-up (e.g., "breast cancer")
        keywords: The list of other relevant terms to be considered for look-up (e.g., ["Her2", "chemotherapy"])
        country: The country to be considered for look-up
    """
    return {
        "main_condition": main_condition or "",
        "keywords": keywords or [],
        "country": country or ""
    }

@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)}"


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, create_dict_for_lookup], ## 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()