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import os |
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool |
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import datetime |
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import requests |
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import pytz |
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import yaml |
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from tools.final_answer import FinalAnswerTool |
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from Gradio_UI import GradioUI |
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AV_TOKEN = os.environ["AV_TOKEN"] |
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@tool |
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def ticker_search(keywords: str) -> list[tuple[str, str]]: |
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"""A tool gets a list of the symbols / tickers you might be looking for in the form tuple["symbol": string, "company name": string]. |
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Args: |
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keywords: Any keywords for the ticker you are searching for (e.g., "tesco", "BA", etc.) |
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""" |
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url = f"https://www.alphavantage.co/query?function=SYMBOL_SEARCH&keywords={keywords}&apikey={AV_TOKEN}" |
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r = requests.get(url) |
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data = r.json() |
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return [(item["1. symbol"], item["2. name"]) for item in data["bestMatches"]] |
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@tool |
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def ticker_time_series_intraday(symbol: str) -> list[tuple[str, dict[str, str]]]: |
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"""A tool that returns the last 100 data points (1 per hour of trading) of intraday OHLCV time series for the specified equity. |
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Args: |
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symbol: An equity symbol (e.g., "IBM") |
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""" |
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url = f"https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=60min&extended_hours=false&apikey={AV_TOKEN}" |
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r = requests.get(url) |
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data = r.json() |
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return [(datetime, timeseries) for datetime, timeseries in data["Time Series (60min)"].items()] |
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@tool |
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def ticker_time_series_daily(symbol: str) -> list[tuple[str, dict[str, str]]]: |
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"""A tool that returns the last 100 data points (1 per day) of daily time series of the equity specified |
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Args: |
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symbol: An equity symbol (e.g., "IBM") |
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""" |
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url = f"https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol={symbol}&apikey={AV_TOKEN}" |
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r = requests.get(url) |
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data = r.json() |
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return [(datetime, timeseries) for datetime, timeseries in data["Time Series (Daily)"].items()] |
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@tool |
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def ticker_news(symbol: str) -> dict: |
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"""A tool that returns 50 results of news stories for the specified symbol. |
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Args: |
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symbol: A valid ticker symbol |
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""" |
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url = f"https://www.alphavantage.co/query?function=NEWS_SENTIMENT&tickers={symbol}&apikey={AV_TOKEN}" |
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r = requests.get(url) |
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data = r.json() |
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return data |
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@tool |
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def get_current_time_in_timezone(timezone: str) -> str: |
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"""A tool that fetches the current local time in a specified timezone. |
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Args: |
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timezone: A string representing a valid timezone (e.g., 'America/New_York'). |
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""" |
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try: |
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tz = pytz.timezone(timezone) |
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") |
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return f"The current local time in {timezone} is: {local_time}" |
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except Exception as e: |
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return f"Error fetching time for timezone '{timezone}': {str(e)}" |
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final_answer = FinalAnswerTool() |
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model = HfApiModel( |
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max_tokens=2096, |
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temperature=0.5, |
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', |
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custom_role_conversions=None, |
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) |
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) |
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with open("prompts.yaml", 'r') as stream: |
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prompt_templates = yaml.safe_load(stream) |
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agent = CodeAgent( |
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model=model, |
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tools=[final_answer, get_current_time_in_timezone, ticker_search, ticker_time_series_intraday, ticker_time_series_daily, ticker_news], |
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max_steps=6, |
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verbosity_level=1, |
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grammar=None, |
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planning_interval=None, |
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name=None, |
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description=None, |
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prompt_templates=prompt_templates |
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) |
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GradioUI(agent).launch() |