import os
import time
import numpy as np
import cv2
import base64
import json
import tempfile
import sys
import asyncio
from gmqtt import Client as MQTTClient

# Configuration
MQTT_BROKER = os.environ.get('MQTT_BROKER', '10.59.221.172')
MQTT_PORT = int(os.environ.get('MQTT_PORT', '1883'))
MQTT_USERNAME = os.getenv('MQTT_USERNAME', 'your_username')
MQTT_PASSWORD = os.getenv('MQTT_PASSWORD', 'your_password')
MQTT_SNAPSHOT_TOPIC = "/frigate/patiocam/person/snapshot"
MQTT_TOPIC_PUBLISH = "homeassistant/sensor/dayglo_rating/state"
DISCOVERY_PREFIX = "homeassistant"

# Default rating
last_rating = 0

# Default color thresholds for dayglo detection
# Expanded color thresholds for dayglo detection
LOWER_COLOR_GREEN = np.array([35, 50, 50])
UPPER_COLOR_GREEN = np.array([100, 255, 255])
LOWER_COLOR_YELLOW = np.array([15, 80, 80])
UPPER_COLOR_YELLOW = np.array([40, 255, 255])

# Track if the initial snapshot has been processed
initial_snapshot_processed = False
connected_once = False

class DaygloDetectorMQTTClient(MQTTClient):
    async def handle_on_connect(self, client, flags, rc, properties):
        asyncio.create_task(self.handle_on_connect(client, flags, rc, properties))
        global connected_once
        if rc == 0 and not connected_once:
            print("Connected successfully to MQTT broker")
            await client.subscribe(MQTT_SNAPSHOT_TOPIC, qos=1)
            print(f"Subscribed to topic: {MQTT_SNAPSHOT_TOPIC}")
            connected_once = True
            await publish_discovery_configurations(client)
            # Publish initial rating of 0
            await publish_rating(client, 0)
        else:
            print(f"Failed to connect, return code {rc}")

    async def handle_on_message(self, client, topic, payload, qos, properties):
        asyncio.create_task(self.handle_on_message(client, topic, payload, qos, properties))
        if topic == MQTT_SNAPSHOT_TOPIC:
            print("Snapshot received")
            if len(payload) == 0:
                print("Received an empty payload, skipping processing.")
            else:
                print(f"Payload length: {len(payload)} bytes")
                print(f"Payload (first 100 bytes): {payload[:100]}...")
                await process_snapshot(self, payload)

async def publish_discovery_configurations(client):
    rating_config = {
        "name": "Dayglo Rating",
        "state_topic": MQTT_TOPIC_PUBLISH,
        "unit_of_measurement": "%",
        "value_template": "{{ value_json.rating }}",
        "icon": "mdi:brush",
        "unique_id": "mqtt_dayglo_rating"
    }
    await client.publish(f"{DISCOVERY_PREFIX}/sensor/dayglo_rating/config", json.dumps(rating_config), retain=True)

async def publish_rating(client, rating):
    global last_rating
    last_rating = rating
    await client.publish(MQTT_TOPIC_PUBLISH, json.dumps({"rating": rating}))

async def process_snapshot(client, payload):
    if not payload:
        print("Empty payload received, skipping processing.")
        return

    print("Processing snapshot...")
    try:
        image_data = base64.b64decode(payload)
        with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as temp_image_file:
            temp_image_file.write(image_data)
            temp_image_path = temp_image_file.name

        # Attempt to read the saved image with OpenCV
        image = cv2.imread(temp_image_path)

        if image is not None:
            rating = calculate_dayglo_rating(image)
            print("Dayglo Rating calculated:", rating)
            await publish_rating(client, rating)
        else:
            print("Invalid image format or corrupted image received")
    except Exception as e:
        print(f"Error processing snapshot: {e}")

def calculate_dayglo_rating(image):
    print("Calculating dayglo rating...")
    # Crop the image to focus on the center area
    height, width = image.shape[:2]
    crop_margin = 0.1  # 10% margin
    cropped_image = image[int(height * crop_margin):int(height * (1 - crop_margin)),
                          int(width * crop_margin):int(width * (1 - crop_margin))]

    print("Calculating dayglo rating...")
    hsv_image = cv2.cvtColor(cropped_image, cv2.COLOR_BGR2HSV)
    mask_green = cv2.inRange(hsv_image, LOWER_COLOR_GREEN, UPPER_COLOR_GREEN)
    mask_yellow = cv2.inRange(hsv_image, LOWER_COLOR_YELLOW, UPPER_COLOR_YELLOW)
    mask = cv2.addWeighted(mask_green, 1.0, mask_yellow, 1.0, 0)
    dayglo_pixels = cv2.countNonZero(mask)
    total_pixels = cropped_image.shape[0] * cropped_image.shape[1]
    rating = (dayglo_pixels / total_pixels) * 100
    return rating

async def main():
    # Handle command line argument for image file
    if len(sys.argv) > 1:
        image_file = sys.argv[1]
        if os.path.exists(image_file):
            print(f"Processing image from file: {image_file}")
            image = cv2.imread(image_file)
            if image is not None:
                rating = calculate_dayglo_rating(image)
                print("Dayglo Rating calculated from file:", rating)
            else:
                print("Invalid image file provided.")
        else:
            print(f"File not found: {image_file}")

    # Set up MQTT client for normal operation
    client = DaygloDetectorMQTTClient("dayglo_detector")
    client.set_auth_credentials(MQTT_USERNAME, MQTT_PASSWORD)

    await client.connect(MQTT_BROKER, MQTT_PORT, keepalive=60)
    await asyncio.get_event_loop().create_future()

if __name__ == "__main__":
    asyncio.run(main())