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 compare_country_economics(country_code_1: str, country_code_2: str) -> str:
    """
    Compares GDP per capita between two countries.

    Args:
        country_code_1: ISO alpha-3 code (e.g., 'USA')
        country_code_2: ISO alpha-3 code (e.g., 'IND')
    """
    import requests

    def fetch_data(code):
        gdp_url = f"http://api.worldbank.org/v2/country/{code}/indicator/NY.GDP.MKTP.CD?format=json&per_page=1"
        pop_url = f"http://api.worldbank.org/v2/country/{code}/indicator/SP.POP.TOTL?format=json&per_page=1"

        gdp = requests.get(gdp_url).json()[1][0]
        pop = requests.get(pop_url).json()[1][0]

        if gdp["value"] is None or pop["value"] is None:
            return None

        gdp_per_capita = gdp["value"] / pop["value"]

        return {
            "year": gdp["date"],
            "gdp": gdp["value"],
            "population": pop["value"],
            "gdp_per_capita": gdp_per_capita
        }

    data1 = fetch_data(country_code_1)
    data2 = fetch_data(country_code_2)

    if not data1 or not data2:
        return "Data unavailable for one or both country codes."

    richer = country_code_1 if data1["gdp_per_capita"] > data2["gdp_per_capita"] else country_code_2

    return (
        f"Comparison ({data1['year']}):\n\n"
        f"{country_code_1} GDP per capita: ${data1['gdp_per_capita']:,.2f}\n"
        f"{country_code_2} GDP per capita: ${data2['gdp_per_capita']:,.2f}\n\n"
        f"👉 {richer} has the higher GDP per capita."
    )
    
@tool
def get_country_economics(country_code: str) -> str:
    """Fetches basic economic data for a country using World Bank's API.
    Args:
        country_code: The ISO 3166-1 alpha-3 country code (e.g., 'USA' for United States, 'IND' for India).
    """
    try:
        # Fetch GDP (current US$)
        gdp_url = f"http://api.worldbank.org/v2/country/{country_code}/indicator/NY.GDP.MKTP.CD?format=json&per_page=1"
        gdp_response = requests.get(gdp_url).json()
        gdp_value = gdp_response[1][0]['value']
        gdp_year = gdp_response[1][0]['date']

        # Fetch population
        pop_url = f"http://api.worldbank.org/v2/country/{country_code}/indicator/SP.POP.TOTL?format=json&per_page=1"
        pop_response = requests.get(pop_url).json()
        pop_value = pop_response[1][0]['value']
        pop_year = pop_response[1][0]['date']

        if gdp_value is None or pop_value is None:
            return f"Data unavailable for country code '{country_code}'. Try a different one like 'USA', 'CHN', or 'IND'."

        gdp_per_capita = gdp_value / pop_value
        return (
            f"Economic data for {country_code}:\n"
            f"• Year: {gdp_year}\n"
            f"• GDP: ${gdp_value:,.2f} USD\n"
            f"• Population: {pop_value:,}\n"
            f"• GDP per Capita: ${gdp_per_capita:,.2f}"
        )
    except Exception as e:
        return f"Failed to fetch economic data for '{country_code}': {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 = 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, compare_country_economics, get_country_economics], ## 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()