from machine import Pin, ADC
from time import sleep
import math

# === Pin Configuration ===
LDR_PIN = 34      # LDR analog output connected to GPIO34
PIR_PIN = 27      # PIR sensor output pin
LED_PIN = 26      # LED output pin

# === Initialize Components ===
ldr = ADC(Pin(LDR_PIN))
ldr.atten(ADC.ATTN_11DB)   # allows full 0–3.3V range
pir = Pin(PIR_PIN, Pin.IN)
led = Pin(LED_PIN, Pin.OUT)

# === Thresholds (you can tune based on Wokwi LDR readings) ===
LIGHT_THRESHOLD = 2000    # Lower = brighter
AI_DECISION_FACTOR = 0.6  # Used for pseudo AI prediction

def get_light_level():
    """Read and return light intensity from LDR."""
    return ldr.read()

def get_motion():
    """Return True if motion detected by PIR."""
    return pir.value() == 1

def ai_predict_light(time_hour, last_light, motion):
    """
    Simple AI-like logic:
    Predict light requirement based on time, previous light, and motion.
    (Can be later replaced by ML model)
    """
    # simulate AI logic: higher chance to turn ON in evening + motion
    base_need = 1 if 18 <= time_hour or time_hour <= 6 else 0  # night time
    light_factor = 1 if last_light < LIGHT_THRESHOLD else 0
    motion_factor = 1 if motion else 0

    decision_value = (base_need + light_factor + motion_factor) / 3
    return decision_value > AI_DECISION_FACTOR

# === Main Loop ===
print("Smart Light Control (AI + IoT) system started...")

hour = 18  # simulate evening time; change manually for testing

while True:
    light_value = get_light_level()
    motion_detected = get_motion()

    # Simulate AI-based prediction
    ai_decision = ai_predict_light(hour, light_value, motion_detected)

    if ai_decision:
        led.value(1)
        print(f"[AI] Light ON | Light={light_value} | Motion={motion_detected}")
    else:
        led.value(0)
        print(f"[AI] Light OFF | Light={light_value} | Motion={motion_detected}")

    sleep(1)