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 fetch_topsearch_rank() -> str:
    """Fetches the top search rank data from CoinMarketCap API.
    
    Returns:
        str: The JSON response from the API containing the top search rank data.
    """
    url = 'https://api.coinmarketcap.com/data-api/v3.1/topsearch/rank'
    headers = {
        'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:135.0) Gecko/20100101 Firefox/135.0',
        'Accept': 'application/json, text/plain, */*',
        'Accept-Language': 'en-US,en;q=0.5',
        'Accept-Encoding': 'gzip, deflate, br, zstd',
        'Referer': 'https://coinmarketcap.com/',
        'x-request-id': '1e07984fb3be4d0895f6f4d4484f47d2',
        'platform': 'web',
        'cache-control': 'no-cache',
        'Origin': 'https://coinmarketcap.com',
        'Connection': 'keep-alive',
        'Sec-Fetch-Dest': 'empty',
        'Sec-Fetch-Mode': 'cors',
        'Sec-Fetch-Site': 'same-site',
        'Priority': 'u=4',
        'TE': 'trailers'
    }
    
    response = requests.get(url, headers=headers)
    response.raise_for_status()  # Raise an exception for HTTP errors
    
    return response.json()

@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)}"


import requests

@tool
def fetch_cryptocurrency_detail(crypto_id: int) -> str:
    """Fetches cryptocurrency details from CoinMarketCap API.
    
    Args:
        crypto_id: The ID of the cryptocurrency to fetch details for. For example, Litecoin has ID 1.
    
    Returns:
        str: The JSON response from the API containing the cryptocurrency details.
    """
    url = f"https://api.coinmarketcap.com/data-api/v3/cryptocurrency/detail/lite?id={crypto_id}"
    headers = {
        "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:135.0) Gecko/20100101 Firefox/135.0",
        "Accept": "application/json, text/plain, */*",
        "Accept-Language": "en-US,en;q=0.5",
        "x-request-id": "29afc12e1d074ccc9d1170ee4320440a",
        "platform": "web",
        "cache-control": "no-cache",
        "Sec-Fetch-Dest": "empty",
        "Sec-Fetch-Mode": "cors",
        "Sec-Fetch-Site": "same-site"
    }
    
    response = requests.get(url, headers=headers)
    response.raise_for_status()  # Raise an exception for HTTP errors
    
    return response.json()

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
    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
    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,fetch_topsearch_rank,fetch_cryptocurrency_detail], ## 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()