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


from Gradio_UI import GradioUI

#S&P500 Sentiment StoryTeller
@tool
def market_sentiment_story(index: str) -> str:
    """Fetches market data for a stock index and returns a prompt for generating a story.
    Args:
        index: One of 'sp500', 'dowjones', or 'nasdaq'.
    """
    # 1. Map user input to Yahoo Finance symbols (Can create another tool down the line)
    symbols = {
        "sp500": "^GSPC",
        "dowjones": "^DJI",
        "nasdaq": "^IXIC"
    }

    # 2. Get the correct symbol for the requested index
    symbol = symbols.get(index.lower())

    try:
        # 3. Fetch data from Yahoo Finance
        url = f"https://query1.finance.yahoo.com/v8/finance/chart/{symbol}"
        data = requests.get(url).json()

        # 4. Extract current and previous prices
        result = data["chart"]["result"][0]["meta"]
        current = result["regularMarketPrice"]
        previous = result["chartPreviousClose"]
        change = current - previous
        percent = (change / previous) * 100

        # 5. Return a prompt for the LLM to generate a story
        return (
            f"The {index.upper()} is currently at {current:.2f}, "
            f"which is a change of {percent:.2f}% from the previous close. "
            f"Write a short, realistic story that explains why it moved in this direction."
        )

    except Exception as e:
        return f"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()

# 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 = LiteLLMModel(
    model_id="qwen2:7b",
    api_base="http://localhost:11434",  # Or 127.0.0.1
    model_provider="ollama",            # 👈 THIS is the key fix!
    num_ctx=8192,
)



# 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, market_sentiment_story], ## 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()