修改hls service适配改动

hls_service_ws_kadian.py

@@ -7,34 +7,25 @@ import os
 import time
 import threading
 import queue
-import yaml
 import glob
+import argparse
+import sys
 
 from dataclasses import dataclass
 
-# from biz.checkpoint.checkpoint_biz import FrameProcessorWorker
-from biz.prison.prison_biz import FrameProcessorWorker
+from biz.checkpoint.checkpoint_biz import FrameProcessorWorker
+# from biz.prison.prison_biz import FrameProcessorWorker
+from common.camera_config import CameraConfig, parse_cameras_from_json, parse_cameras_from_yaml
 from utils.web_socket_sender import WebSocketSender
 from utils.logger import get_logger
 
 logger = get_logger(__name__)
 
-WS_HOST = "0.0.0.0"
-WS_PORT = 8765
-
 # HLS配置
 HLS_SEGMENT_DIR = "D:\\ProjectDoc\\Police\\data\\hls"  # TS分片存储目录
 HLS_SEGMENT_PATTERN = "segment_%09d.ts"  # TS文件命名模式
 
 
-# ========================= 数据结构 =========================
-@dataclass
-class CameraConfig:
-    id: int
-    name: str
-    index: str
-
-
 # ========================= 合并的TS读取和帧处理线程 =========================
 class HLSFrameProcessor(threading.Thread):
     def __init__(self, camera_cfg: CameraConfig, raw_queue: queue.Queue, stop_event: threading.Event):
@@ -290,19 +281,19 @@ class HLSFrameProcessor(threading.Thread):
 
 # ========================= 服务主类 =========================
 class HLSKadianService:
-    def __init__(self, config_path: str = "config.yaml"):
-        with open(config_path, "r", encoding="utf-8") as f:
-            cfg = yaml.safe_load(f)
-        self.cameras = [CameraConfig(id=c["id"], name=c.get("name", f"cam_{c['id']}"), index=c["index"])
-                        for c in cfg.get("cameras", [])]
+    def __init__(self, cameras: list[CameraConfig], ws_host: str = "0.0.0.0", ws_port: int = 8765, algorithm: str = ""):
+        self.cameras = cameras
+        self.ws_host = ws_host
+        self.ws_port = ws_port
+        self.algorithm = algorithm
 
         self.stop_event = threading.Event()
         self.raw_queue = queue.Queue(maxsize=3)     # 原始队列，容量较小
         self.ws_queue = queue.Queue(maxsize=1000)   # WebSocket队列
 
         self.frame_processor_workers = []
-        self.biz_processor = FrameProcessorWorker(self.raw_queue, self.ws_queue, self.stop_event)
-        self.ws_sender = WebSocketSender(self.ws_queue, self.stop_event, WS_HOST, WS_PORT)
+        self.biz_processor = FrameProcessorWorker(self.raw_queue, self.ws_queue, self.stop_event, self.cameras)
+        self.ws_sender = WebSocketSender(self.ws_queue, self.stop_event, self.ws_host, self.ws_port)
 
     def start(self):
         # 确保TS分片目录存在
@@ -334,10 +325,30 @@ class HLSKadianService:
 
 
 if __name__ == "__main__":
-    service = HLSKadianService("config.yaml")
+    parser = argparse.ArgumentParser(description="HLS Service for Detection")
+    parser.add_argument("--cameras", type=str, help="Cameras config in JSON format (or base64 encoded JSON)")
+    parser.add_argument("--config", type=str, default="config.yaml", help="Path to config YAML file")
+    parser.add_argument("--ws-host", type=str, default="0.0.0.0", help="WebSocket host")
+    parser.add_argument("--ws-port", type=int, default=8765, help="WebSocket port")
+    parser.add_argument("--algorithm", type=str, default="", help="Algorithm type")
+    args = parser.parse_args()
+
+    # 优先使用命令行传入的 cameras JSON，否则读取配置文件
+    if args.cameras:
+        cameras = parse_cameras_from_json(args.cameras)
+        logger.info(f"[INFO] Loaded {len(cameras)} cameras from command line argument")
+    else:
+        cameras = parse_cameras_from_yaml(args.config)
+        logger.info(f"[INFO] Loaded {len(cameras)} cameras from config file: {args.config}")
+
+    if not cameras:
+        logger.error("[ERROR] No cameras configured, exiting...")
+        sys.exit(1)
+
+    service = HLSKadianService(cameras, ws_host=args.ws_host, ws_port=args.ws_port, algorithm=args.algorithm)
     service.start()
     try:
         while True:
             time.sleep(1)
     except KeyboardInterrupt:
-        service.stop()
+        service.stop()