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 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)}"

@tool
def get_weather(city: str) -> str:
    """Get the current weather for a given city using the Open-Meteo free API.
    Args:
        city: The city name (e.g., 'Paris').
    """
    import requests
    # Geocoding
    geo = requests.get(f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1").json()
    if not geo.get("results"):
        return f"City '{city}' not found."
    r = geo["results"][0]
    lat, lon = r["latitude"], r["longitude"]
    url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
    data = requests.get(url).json()
    w = data["current_weather"]
    return f"Weather in {city}: {w['temperature']}°C, wind {w['windspeed']} km/h, code {w['weathercode']}"

@tool
def calculator(expression: str) -> str:
    """Safely evaluate a mathematical expression.
    Args:
        expression: A mathematical expression string (e.g., '(12 + 5) * 3 / 7').
    """
    import ast, operator
    ops = {ast.Add: operator.add, ast.Sub: operator.sub,
           ast.Mult: operator.mul, ast.Div: operator.truediv,
           ast.Pow: operator.pow, ast.USub: operator.neg}
    def _eval(node):
        if isinstance(node, ast.Constant): return node.value
        elif isinstance(node, ast.BinOp): return ops[type(node.op)](_eval(node.left), _eval(node.right))
        elif isinstance(node, ast.UnaryOp): return ops[type(node.op)](_eval(node.operand))
        raise ValueError("Unsupported expression")
    try:
        return str(_eval(ast.parse(expression, mode='eval').body))
    except Exception as e:
        return f"Error: {e}"

@tool
def get_news_headlines(topic: str) -> str:
    """Fetch the latest news headlines from Google News RSS for a given topic.
    Args:
        topic: The topic to search for (e.g., 'artificial intelligence').
    """
    import requests
    url = f"https://news.google.com/rss/search?q={topic.replace(' ', '+')}&hl=fr&gl=FR&ceid=FR:fr"
    r = requests.get(url)
    titles = []
    for line in r.text.split("<title>")[2:7]:  # skip first 2 which are feed metadata
        titles.append(line.split("</title>")[0])
    return "\n".join(f"• {t}" for t in titles) if titles else "No results found."

@tool
def wikipedia_summary(query: str) -> str:
    """Get a short Wikipedia summary for a given topic.
    Args:
        query: The topic to search for on Wikipedia.
    """
    import requests
    url = "https://fr.wikipedia.org/api/rest_v1/page/summary/" + query.replace(" ", "_")
    r = requests.get(url).json()
    return r.get("extract", "No Wikipedia article found for this topic.")

@tool
def date_calculator(days_offset: int) -> str:
    """Calculate a date relative to today (positive = future, negative = past).
    Args:
        days_offset: Number of days from today (e.g., 30 for one month ahead, -7 for last week).
    """
    from datetime import datetime, timedelta
    target = datetime.now() + timedelta(days=days_offset)
    return f"Date ({days_offset:+d} days from today): {target.strftime('%A %d %B %Y')}"

@tool
def fetch_webpage_text(url: str) -> str:
    """Fetch and return the visible text content from a webpage URL.
    Args:
        url: The full URL of the webpage to fetch (e.g., 'https://example.com').
    """
    import requests, re
    try:
        r = requests.get(url, timeout=10, headers={"User-Agent": "Mozilla/5.0"})
        text = re.sub(r"<[^>]+>", " ", r.text)
        text = re.sub(r"\s+", " ", text).strip()
        return text[:2000] + "..." if len(text) > 2000 else text
    except Exception as e:
        return f"Error fetching URL: {e}"

@tool
def convert_currency(amount: float, from_currency: str, to_currency: str) -> str:
    """Convert an amount from one currency to another using live exchange rates.
    Args:
        amount: The amount to convert.
        from_currency: The source currency code (e.g., 'EUR').
        to_currency: The target currency code (e.g., 'USD').
    """
    import requests
    url = f"https://api.exchangerate-api.com/v4/latest/{from_currency.upper()}"
    r = requests.get(url).json()
    rate = r.get("rates", {}).get(to_currency.upper())
    if not rate:
        return f"Currency '{to_currency}' not found."
    return f"{amount} {from_currency.upper()} = {round(amount * rate, 2)} {to_currency.upper()}"



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,
    image_generation_tool,
    DuckDuckGoSearchTool(),
    get_weather,
    calculator,
    get_news_headlines,
    wikipedia_summary,
    date_calculator,
    fetch_webpage_text,
    convert_currency,], ## 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()