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

from Gradio_UI import GradioUI

movies = {}
with open('movies.json') as f:
    movies = json.load(f)

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def movie_info(movie_name:str)-> 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:
        movie_name: name of the movie
    """

    try:
        # read and create an object of information about a movie requested. 
        filtered_movies = [movie for movie in movies if movie["Title"].lower() == movie_name.lower()]
        if len(filtered_movies) > 0:
            output = ""
            for movie in filtered_movies:
                output += movie['Title'] + ","
                output += movie['Year'] + ","
                output += movie['imdbRating'] + ","
                output += movie['imdbVotes'] + ","
                output += movie['Actors'] + ","

            output += "\n"
        else:
            output = "No information on that movie found!"
        print (output)
        return output
    except Exception as e:
        return f"Error movies json and formatting."

@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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# 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, ], ## 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()