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

from Gradio_UI import GradioUI
alchemy_api_key = os.environ['ALCHEMY_API_KEY'] 
weather_api = os.environ['WEATHER_API']


@tool
def get_gas_fee_estimate(start: str, end: str) -> 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 estimates the gas fee for a transaction that occurs on the polygon blockchain.
    Args:
        start: A string representing a valid wallet address (e.g., 0xfe3b557e8fb62b89f4916b721be55ceb828dbd73)
        end: A second string representing a valid wallet address
    """
    url = f"https://polygon-mainnet.g.alchemy.com/v2/:{alchemy_api_key}"
    
    payload = { "0": {
        "from": {start},
        "to": {end},
        "value": "0x1"
    } }
    headers = {"Content-Type": "application/json"}
    try:
        response = requests.post(url, json=payload, headers=headers)
        return f"The estimated gas fee is {response['result']}"
    except error:
        return f"Error trying to process given wallet addresses {start} and/or {end}"
        
@tool
def get_asset_price(asset: str, base_curr: str) -> str:

    """A tool that gets the current price of a given digital asset.
    Args:
        asset: A string representing a valid digital asset name (e.g., ethereum).
        base_curr: A string that represents a valid base currency (e.g., usd).
    """

    url = "https://api.coingecko.com/api/v3/simple/price"
    params = {
        "ids": asset,
        "vs_currencies": base_curr
    }

    response = requests.get(url, params=params)
    if response.status_code == 200:
        data = response.json()
        price = data[asset][base_curr]
        return f"Current {asset} price: ${price}"
    else:
        return f"Error: {response.status_code}, {response.text}"

@tool
def get_weather_weatherapi(city: str, state: str) -> str:
    """A tool that gets the current weather.
    Args:
        city: A string that represents a valid city name (e.g., San Diego).
        state: A String that represents a valid state name (e.g., California).
    """
    api_key = weather_api 
    location = f"{city},{state}"
    url = f"http://api.weatherapi.com/v1/current.json"

    params = {
        "key": api_key,
        "q": location
    }

    try:
        response = requests.get(url, params=params)
        data = response.json()

        if response.status_code != 200:
            return f"API Error: {data.get('error', {}).get('message', 'Unknown error')}"

        temp = data["current"]["temp_f"]
        condition = data["current"]["condition"]["text"]
        name = data["location"]["name"]
        region = data["location"]["region"]

        return f"The current weather in {name}, {region} is {temp}°F with {condition}."

    except Exception as e:
        return f"Error: {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 = 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=[get_current_time_in_timezone,get_weather_weatherapi, get_asset_price, DuckDuckGoSearchTool(), final_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()