app.py

from smolagents import CodeAgent, HfApiModel, load_tool, tool
from langchain.memory import SimpleMemory
from tools.final_answer import FinalAnswerTool
from gradio import Interface
import os
import base64
import datetime
import pytz
from skyfield.api import load, Topos, load_file
from skyfield import almanac

# Load astronomical data (ephemeris) for moon calculations
planets = load('de421.bsp')
ts = load.timescale()

# Define Zodiac signs and their boundaries (0° to 360° ecliptic longitude)
ZODIAC_SIGNS = [
    ("Aries", 0, 30),
    ("Taurus", 30, 60),
    ("Gemini", 60, 90),
    ("Cancer", 90, 120),
    ("Leo", 120, 150),
    ("Virgo", 150, 180),
    ("Libra", 180, 210),
    ("Scorpio", 210, 240),
    ("Sagittarius", 240, 270),
    ("Capricorn", 270, 300),
    ("Aquarius", 300, 330),
    ("Pisces", 330, 360),
]

# Moon phase boundaries (0° to 360° phase angle) for display purposes
MOON_PHASES = [
    ("New Moon", 0, 45),
    ("Waxing Crescent", 45, 90),
    ("First Quarter", 90, 135),
    ("Waxing Gibbous", 135, 180),
    ("Full Moon", 180, 225),
    ("Waning Gibbous", 225, 270),
    ("Last Quarter", 270, 315),
    ("Waning Crescent", 315, 360),
]

# Fertility sign coefficients (applicable to all plants)
FERTILITY_SIGN_COEFFS = {
    "Aries": 1,
    "Taurus": 2,
    "Gemini": 0,
    "Cancer": 2,
    "Leo": 1,
    "Virgo": 0,
    "Libra": 0.5,
    "Scorpio": 1.5,
    "Sagittarius": 1,
    "Capricorn": 1,
    "Aquarius": 0,
    "Pisces": 2,
}

# Pruning sign coefficients (applicable to all plants)
PRUNING_SIGN_COEFFS = {
    "Aries": 1,
    "Taurus": 0,
    "Gemini": 2,
    "Cancer": 0,
    "Leo": 1,
    "Virgo": 2,
    "Libra": 1.5,
    "Scorpio": 0.5,
    "Sagittarius": 1,
    "Capricorn": 1,
    "Aquarius": 2,
    "Pisces": 0,
}

# Fertility phase coefficients for above-ground plants
FERTILITY_PHASE_COEFFS_ABOVE = {
    "New Moon": 0,
    "Waxing Moon": 1,
    "Full Moon": 0,
    "Waning Moon": 0.5,
}

# Fertility phase coefficients for root crops
FERTILITY_PHASE_COEFFS_ROOT = {
    "New Moon": 0,
    "Waxing Moon": 0.5,
    "Full Moon": 0,
    "Waning Moon": 1,
}

# Pruning phase coefficients
PRUNING_PHASE_COEFFS = {
    "New Moon": 0,
    "Waxing Moon": 1,
    "Full Moon": 0,
    "Waning Moon": 0.5,
}

# Tool definitions

@tool
def get_moon_info(date_time: str) -> dict:
    """
    Returns Moon's Zodiac position, phase, and fertility and pruning indices for the given date/time.
    
    Args:
        date_time (str): ISO 8601 formatted datetime (YYYY-MM-DDTHH:MM:SS)
    Returns:
        dict: {
            "zodiac_position": "Leo 15°30'",
            "moon_phase": "Waxing Gibbous",
            "fertility_above_ground": 2.0,
            "fertility_root_crop": 1.5,
            "pruning": 2.0
        }
    """
    try:
        # Parse input datetime and localize to UTC
        user_time = datetime.datetime.strptime(date_time, "%Y-%m-%dT%H:%M:%S")
        user_time = pytz.utc.localize(user_time)

        # Use loaded ephemeris and timescale
        t = ts.from_datetime(user_time)

        # Define celestial bodies
        earth = planets['earth']
        moon = planets['moon']
        sun = planets['sun']

        # Calculate Moon's ecliptic longitude
        astrometric = earth.at(t).observe(moon)
        ecliptic_lat, ecliptic_lon, distance = astrometric.ecliptic_latlon()
        lon_deg = ecliptic_lon.degrees % 360

        # Calculate the phase angle using almanac.moon_phase
        phase = almanac.moon_phase(planets, t)
        phase_angle = phase.degrees

        # Determine Zodiac sign and position
        zodiac_sign = "Unknown"
        position_degrees = 0
        for sign, start, end in ZODIAC_SIGNS:
            if start <= lon_deg < end:
                zodiac_sign = sign
                position_degrees = lon_deg - start
                break

        # Format position to degrees and minutes
        degrees = int(position_degrees)
        minutes = int((position_degrees % 1) * 60)
        position_str = f"{zodiac_sign} {degrees}°{minutes:02}'"

        # Determine moon phase for display
        moon_phase = "Unknown"
        for phase, start, end in MOON_PHASES:
            if start <= phase_angle < end:
                moon_phase = phase
                break

        # Determine phase category for indices with 15° orbis for New and Full Moon
        if (phase_angle >= 345 or phase_angle < 15):
            phase_category = "New Moon"  # 345° to 15° (30° total orbis)
        elif 15 <= phase_angle < 165:
            phase_category = "Waxing Moon"
        elif 165 <= phase_angle < 195:
            phase_category = "Full Moon"  # 165° to 195° (30° total orbis)
        elif 195 <= phase_angle < 345:
            phase_category = "Waning Moon"
        else:
            phase_category = "Unknown"

        # Calculate fertility and pruning indices
        if zodiac_sign in FERTILITY_SIGN_COEFFS and phase_category in FERTILITY_PHASE_COEFFS_ABOVE:
            fertility_above_ground = FERTILITY_SIGN_COEFFS[zodiac_sign] + FERTILITY_PHASE_COEFFS_ABOVE[phase_category]
            fertility_root_crop = FERTILITY_SIGN_COEFFS[zodiac_sign] + FERTILITY_PHASE_COEFFS_ROOT[phase_category]
            pruning = PRUNING_SIGN_COEFFS[zodiac_sign] + PRUNING_PHASE_COEFFS[phase_category]
        else:
            fertility_above_ground = None
            fertility_root_crop = None
            pruning = None

        return {
            "zodiac_position": position_str,
            "moon_phase": moon_phase,
            "fertility_above_ground": fertility_above_ground,
            "fertility_root_crop": fertility_root_crop,
            "pruning": pruning
        }

    except Exception as e:
        raise ValueError(f"Error in get_moon_info: {str(e)}")

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """
    Returns the current local time in the specified timezone with description.
    
    Args:
        timezone (str): A string representing a valid timezone (e.g., 'UTC')
    Returns:
        str: Formatted local time with timezone description
    """
    try:
        tz = pytz.timezone(timezone)
        now = datetime.datetime.now(tz)
        return f"Local time in {timezone}: {now.strftime('%Y-%m-%d %H:%M:%S')}"
    except Exception as e:
        return f"Error: {str(e)}"

@tool
def get_current_time_raw(timezone: str) -> str:
    """
    Returns current local time in specified timezone as ISO 8601 string.
    
    Args:
        timezone (str): A string representing a valid timezone (e.g., 'UTC')
    Returns:
        str: Datetime in ISO 8601 format (YYYY-MM-DDTHH:MM:SS)
    """
    try:
        tz = pytz.timezone(timezone)
        now = datetime.datetime.now(tz)
        return now.strftime("%Y-%m-%dT%H:%M:%S")
    except Exception as e:
        return f"Error: {str(e)}"

# Memory initialization for state management
memory = SimpleMemory(
    memory={
        "location_provided": False,
        "plant": None,
        "root_crop": None,
        "location_cautions": "",
        "answer": "",
        "last_question": None
    }
)

# Prompt template for the agent
prompt_templates = {
    "main_prompt": """
      Current state:
      - location_provided: {memory[location_provided]}
      - plant: {memory[plant]}
      - root_crop: {memory[root_crop]}
      - location_cautions: {memory[location_cautions]}
      - answer: {memory[answer]}
      - last_question: {memory[last_question]}

      User's input: {input}

      Instructions:
      1. If responding to a clarification question (last_question is not None), interpret the input as the answer to that question and update the state accordingly.
      2. Otherwise, process the user's request as follows:
         - Check if a plant name is provided and recognized. If not, ask "Please specify the plant you are interested in." If recognized, determine if it’s a root crop or above-ground plant (e.g., known plants: potato=root, tomato=above-ground). If unrecognized, ask "Is this plant a root crop? (yes/no)".
         - Check if a location is provided. If yes, set location_provided to true. If the location is not on Earth (e.g., "Moon", "Mars"), set location_cautions to "Salute you explorer! Moon indices are Earth-specific due to gravitational and tidal influences. For other planets, develop indices based on local celestial cycles." and use it as the final answer. If on Earth, ask "Is this location suitable for outdoor planting? (yes/no)" to determine suitability.
         - Determine if the request is about planting or pruning. For planting, ensure plant is defined (ask if not), then calculate the fertility index using get_moon_info. For pruning, calculate the pruning index.
         - If location_cautions is not empty, append it to the answer.
      3. When asking a question, format your response as:
         "Action: Ask user\nQuestion: [your question]"
      4. When all information is gathered, calculate the answer and call FinalAnswerTool.
    """
}

# Initialize model and tools
final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id="https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud/",
    custom_role_conversions=None,
)
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# Initialize the agent without the 'memory' parameter
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_moon_info, get_current_time_in_timezone, get_current_time_raw],
    max_steps=10,
    verbosity_level=1,
    prompt_templates=prompt_templates,
)

# Conversation handler for multi-turn interactions
def conversation_handler(user_input, history):
    global memory, agent
    if memory["last_question"] is not None:
        if memory["last_question"] == "plant":
            memory["plant"] = user_input
            known_plants = {"potato": True, "tomato": False}
            if user_input in known_plants:
                memory["root_crop"] = known_plants[user_input]
            else:
                memory["last_question"] = "root_crop"
                return "Action: Ask user\nQuestion: Is this plant a root crop? (yes/no)"
        elif memory["last_question"] == "root_crop":
            memory["root_crop"] = user_input.lower() in ["yes", "y"]
            memory["last_question"] = None
        elif memory["last_question"] == "location_suitability":
            if user_input.lower() in ["no", "n"]:
                memory["location_cautions"] = "Ensure required conditions for the plant (e.g., indoor) before relying on the fertility indices."
            else:
                memory["location_cautions"] = ""
            memory["last_question"] = None

    # Update the prompt with current memory state
    current_prompt = prompt_templates["main_prompt"].format(
        memory=memory.memory,  # Pass the memory dictionary directly
        input=user_input
    )
    
    # Run the agent with the updated prompt
    output = agent.run(current_prompt)
    
    if "Action: Ask user" in output:
        question = output.split("Question: ")[1].strip()
        if "plant" in question.lower():
            memory["last_question"] = "plant"
        elif "root crop" in question.lower():
            memory["last_question"] = "root_crop"
        elif "suitable for outdoor" in question.lower():
            memory["last_question"] = "location_suitability"
            memory["location_provided"] = True
        return question
    else:
        if "Salute you explorer!" in output:
            memory["location_cautions"] = output
            memory["answer"] = output
        elif memory["location_cautions"]:
            memory["answer"] = output + " " + memory["location_cautions"]
        else:
            memory["answer"] = output
        return output

# Set up Gradio interface
interface = Interface(
    fn=conversation_handler,
    inputs="text",
    outputs="text",
    title="Garden Magus",
    description="Ask about planting or pruning based on moon indices."
)

# Launch the application
if __name__ == "__main__":
    interface.launch()