import datetime
import json
import os
from io import BytesIO
from middleware.minio_util import downFile, upload_file_from_buffer, upload_file
from mqtt_pub import MQTTClient
from uav_module.uav_seg import UAVSegPredictor


mqtt_client=None
# MQTT 代理地址和端口
# broker = "112.44.103.230"  # 公共 MQTT 代理（免费）
broker = "8.137.54.85"  # 公共 MQTT 代理（免费）
port = 1883  # MQTT 默认端口
# 主题
topic = "thing/product/ai/events"


def segementation_func(task_id, s3_id, s3_url, func_id):
    predictor = UAVSegPredictor(
        model_path='uav_module/checkpoints/deeplabv3plus_best.pth',
        model_type='deeplabv3plus',
        num_classes=7
    )
    color_map = [
                [255, 0, 0],    # 类别0: 红色
                [0, 255, 0],    # 类别1: 绿色
                [0, 0, 255],    # 类别2: 蓝色
                [255, 255, 0],  # 类别3: 黄色
                [255, 0, 255],  # 类别4: 品红
                [0, 255, 255],  # 类别5: 青色
                [128, 0, 128]   # 类别6: 紫色
            ]

    # 类别 0：黑色 ；背景
    # 类别 1：棕色 ；荒地
    # 类别 2：绿色 ；林地
    # 类别 3：黄色 ；农田
    # 类别 4：蓝色 ；水域
    # 类别 5：灰色 ；道路
    # 类别 6：青色 ；建筑用地

    mqtt_client = MQTTClient(broker, port, topic)
    # dir_name = "ai_result"
    for img_url in s3_url:
        pic = downFile(img_url)
        color_buffer=predictor.predict(pic, 'uav_module/output_test/patch_0011.png', color_map)
        if color_buffer is not None:
            pic_name = os.path.basename(pic)
            date_str = datetime.datetime.now().strftime("%Y%m%d")
            time_s = datetime.datetime.now().timestamp()
            # mqtt_client = MQTTClient(broker, port, topic)


            pic_name_before = f"{date_str}/{time_s}-before-{pic_name}"
            pic_name_after = f"{date_str}/{time_s}-after-{pic_name}"

            minio_path_before, file_type_before = upload_file(pic,None)
            minio_path_after, file_type_after = upload_file_from_buffer(color_buffer, pic_name_after)
            message = {
                "flight_task_id": task_id,
                "minio": {
                    "minio_path_before": minio_path_before,
                    "minio_path_after": minio_path_after,
                    "file_type": file_type_after
                }
            }
            json_message = json.dumps(message, indent=4, ensure_ascii=False)
            mqtt_client.publish_message(json_message)