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

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> 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:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"


@tool
def get_asoiaf_book(book_id: int) -> str:
    """Retrieves information about a book from 'A Song of Ice and Fire' series by ID.
    Args:
        book_id: The numeric ID of the book (1-12)
    """
    try:
        response = requests.get(f"https://anapioficeandfire.com/api/books/{book_id}")
        if response.status_code == 200:
            book = response.json()
            return (
                f"Book {book_id}: {book['name']}\n"
                f"Authors: {', '.join(book['authors'])}\n"
                f"Pages: {book['numberOfPages']}\n"
                f"Characters: {len(book['characters'])}"
            )
        return f"Error: Book with ID {book_id} not found"
    except Exception as e:
        return f"API Error: {str(e)}"

@tool
def get_asoiaf_character(name: str) -> str:
    """Searches for a character by name in the Game of Thrones universe.
    Args:
        name: The full name of the character (e.g., 'Jon Snow')
    """
    try:
        response = requests.get(
            "https://anapioficeandfire.com/api/characters",
            params={"name": name}
        )
        if response.status_code == 200:
            characters = response.json()
            if characters:
                char = characters[0]
                return (
                    f"Character: {char['name']}\n"
                    f"Aliases: {', '.join(char['aliases'])}\n"
                    f"Titles: {', '.join(char['titles'])}\n"
                    f"Played by: {char['playedBy'][0] if char['playedBy'] else 'Unknown'}"
                )
            return f"No character named '{name}' found"
        return f"API Error: HTTP {response.status_code}"
    except Exception as e:
        return f"Search Error: {str(e)}"

@tool
def get_asoiaf_house(region: str) -> str:
    """Finds houses from a specific region in Westeros.
    Args:
        region: The region to search (e.g., 'The North', 'The Vale')
    """
    try:
        response = requests.get(
            "https://anapioficeandfire.com/api/houses",
            params={"region": region}
        )
        if response.status_code == 200:
            houses = response.json()
            if houses:
                return f"Found {len(houses)} houses in {region}\nFirst result: {houses[0]['name']}"
            return f"No houses found in {region}"
        return f"API Error: HTTP {response.status_code}"
    except Exception as e:
        return f"Region Search Error: {str(e)}"

@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()
house = get_asoiaf_house
book = get_asoiaf_book
character = get_asoiaf_character

# 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='meta-llama/Llama-3.2-3B-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, book, character, house], ## 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()