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

from Gradio_UI import GradioUI

import pandas as pd
from sodapy import Socrata
import random

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def greeting_answer()-> 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
    """Replies to a greeting
    """
    return "Hello Dr. Griffin, how can I help you today?"

@tool
def powerball_query_answer(n:int = 5)-> 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 fetches the last 'n' Powerball drawings.
    Args:
        n: The number of Powerball drawings to fetch.
    """
    # Unauthenticated client only works with public data sets. Note 'None'
    # in place of application token, and no username or password:
    client = Socrata("data.ny.gov", None)

    # Example authenticated client (needed for non-public datasets):
    # client = Socrata(data.ny.gov,
    #                  MyAppToken,
    #                  username="user@example.com",
    #                  password="AFakePassword")

    # First n results, returned as JSON from API / converted to Python list of
    # dictionaries by sodapy.
    results = client.get("d6yy-54nr", limit=n)

    # Convert to pandas DataFrame
    results_df = pd.DataFrame.from_records(results)

    # Return the results as a string
    return results_df[["draw_date", "winning_numbers"]].to_string()

@tool
def powerball_creation_answer(n:int = 5)-> str:
    """A tool that creates 'n' Powerball numbers.
    Args:
        n: The number of Powerball numbers to create.
    """
    # Create 'n' Powerball numbers
    powerball_numbers = []
    for _ in range(n):
        white_balls = []
        while len(white_balls) < 5:
            white_balls.append(str(random.randint(1, 69)))
            white_balls = list(set(white_balls))
        # Generate 1 random number between 1 and 26
        red_ball = str(random.randint(1, 26))
        # Combine the white balls and red ball
        powerball_number = ", ".join(white_balls) + ", Powerball: " + red_ball
        powerball_numbers.append(powerball_number)
    return "\n".join(powerball_numbers)

@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()
web_answer = VisitWebpageTool()

# 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', # 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,
           greeting_answer,
           powerball_query_answer,
           powerball_creation_answer,
           web_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()