import os
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

# Alpha vantage tool suite
AV_TOKEN = os.environ["AV_TOKEN"]
@tool
def ticker_search(keywords: str) -> list[tuple[str, str]]:
    """A tool gets a list of the symbols / tickers you might be looking for in the form tuple["symbol": string, "company name": string].
    Args:
        keywords: Any keywords for the ticker you are searching for (e.g., "tesco", "BA", etc.)
    """
    url = f"https://www.alphavantage.co/query?function=SYMBOL_SEARCH&keywords={keywords}&apikey={AV_TOKEN}"
    r = requests.get(url)
    data = r.json()
    return [(item["1. symbol"], item["2. name"]) for item in data["bestMatches"]]

@tool
def ticker_time_series_intraday(symbol: str) -> list[tuple[str, dict[str, str]]]:
    """A tool that returns the last 100 data points (1 per hour of trading) of intraday OHLCV time series for the specified equity.
    Args:
        symbol: An equity symbol (e.g., "IBM")
    """
    url = f"https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=60min&extended_hours=false&apikey={AV_TOKEN}"
    r = requests.get(url)
    data = r.json()
    return [(datetime, timeseries) for datetime, timeseries in data["Time Series (60min)"].items()]

@tool
def ticker_time_series_daily(symbol: str) -> list[tuple[str, dict[str, str]]]:
    """A tool that returns the last 100 data points (1 per day) of daily time series of the equity specified
    Args:
        symbol: An equity symbol (e.g., "IBM")
    """
    url = f"https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol={symbol}&apikey={AV_TOKEN}"
    r = requests.get(url)
    data = r.json()
    return [(datetime, timeseries) for datetime, timeseries in data["Time Series (Daily)"].items()] 

@tool
def ticker_news(symbol: str) -> dict:
    """A tool that returns 50 results of news stories for the specified symbol.
    Args:
        symbol: A valid ticker symbol
    """
    url = f"https://www.alphavantage.co/query?function=NEWS_SENTIMENT&tickers={symbol}&apikey={AV_TOKEN}"
    r = requests.get(url)
    data = r.json()
    return data

# Default tool
@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 = HfApiModel(
max_tokens=2096,
temperature=0.5,
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, get_current_time_in_timezone, ticker_search, ticker_time_series_intraday, ticker_time_series_daily, ticker_news], ## 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()