app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from datetime import timedelta
import math
from typing import Dict

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def estimate_sun_times(date: datetime, lat: float, lon: float) -> Dict[str, str]:
    """
    Estimate approximate sunrise and sunset times in UTC for a given date and location (no external API).

    This tool uses a simplified version of the NOAA solar position algorithm to compute sun times
    with acceptable accuracy (~1–5 minutes). It's fully offline and suitable for agent environments.

    Args:
        date: The date for which to compute sunrise and sunset. Time part is ignored.
        lat: Latitude in decimal degrees. North is positive, south is negative.
        lon: Longitude in decimal degrees. East is positive, west is negative.

    Returns:
        Dict[str, str]: A dictionary containing, "sunrise_utc": Sunrise time in UTC (ISO format: "HH:MM"), "sunset_utc": Sunset time in UTC (ISO format: "HH:MM"), "sunrise_iso": Full ISO 8601 datetime string (UTC), "sunset_iso": Full ISO 8601 datetime string (UTC)
    """
    
    def calculate_julian_day(dt: datetime) -> float:
        year, month, day = dt.year, dt.month, dt.day
        if month <= 2:
            year -= 1
            month += 12
        A = math.floor(year / 100)
        B = 2 - A + math.floor(A / 4)
        jd = math.floor(365.25 * (year + 4716)) + \
             math.floor(30.6001 * (month + 1)) + \
             day + B - 1524.5
        return jd

    def sun_mean_anomaly(t: float) -> float:
        return (357.52911 + t * (35999.05029 - 0.0001537 * t)) % 360

    def sun_equation_of_center(m: float) -> float:
        m_rad = math.radians(m)
        return (1.914602 - 0.004817 - 0.000014) * math.sin(m_rad) + \
               (0.019993 - 0.000101) * math.sin(2 * m_rad) + \
               0.000289 * math.sin(3 * m_rad)

    def ecliptic_longitude(m: float, c: float) -> float:
        return (m + c + 180 + 102.9372) % 360

    def declination_of_sun(l: float) -> float:
        return math.degrees(math.asin(math.sin(math.radians(l)) * math.sin(math.radians(23.44))))

    def solar_transit(jd: float, m: float, l: float) -> float:
        return jd + (0.0053 * math.sin(math.radians(m))) - (0.0069 * math.sin(math.radians(2 * l)))

    def hour_angle(lat: float, decl: float) -> float:
        lat_rad = math.radians(lat)
        decl_rad = math.radians(decl)
        ha = math.acos((math.cos(math.radians(90.833)) /
                        (math.cos(lat_rad) * math.cos(decl_rad))) -
                       math.tan(lat_rad) * math.tan(decl_rad))
        return math.degrees(ha)

    def jd_to_datetime(jd: float) -> datetime:
        days = jd - 2440587.5
        seconds = days * 86400.0
        return datetime.utcfromtimestamp(seconds)

    # Step 1: Julian day
    jd = calculate_julian_day(date)
    lng_hour = lon / 15

    # Step 2: Approximate solar noon Julian century
    t = (jd - 2451545.0 + lng_hour / 24) / 36525
    m = sun_mean_anomaly(t)
    c = sun_equation_of_center(m)
    l = ecliptic_longitude(m, c)
    dec = declination_of_sun(l)
    ha = hour_angle(lat, dec)
    delta = ha / 360

    # Step 3: Solar transit and sunrise/sunset times
    solar_transit_jd = solar_transit(jd, m, l)
    sunrise_jd = solar_transit_jd - delta
    sunset_jd = solar_transit_jd + delta

    sunrise_dt = jd_to_datetime(sunrise_jd)
    sunset_dt = jd_to_datetime(sunset_jd)

    return {
        "sunrise_utc": sunrise_dt.strftime("%H:%M"),
        "sunset_utc": sunset_dt.strftime("%H:%M"),
        "sunrise_iso": sunrise_dt.strftime("%Y-%m-%dT%H:%M:%SZ"),
        "sunset_iso": sunset_dt.strftime("%Y-%m-%dT%H:%M:%SZ")
    }


@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, estimate_sun_times, get_current_time_in_timezone], ## 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,
    add_base_tools=True
)


GradioUI(agent).launch()