196 lines
7.0 KiB
Python
196 lines
7.0 KiB
Python
# base_frame_processor.py
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# 通用帧处理工作线程基类
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# 统一异步POST、告警去重、抽帧控制等公共逻辑
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import cv2
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import base64
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import time
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import threading
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import queue
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import requests
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from typing import Dict, Any, Callable
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from concurrent.futures import ThreadPoolExecutor
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from common.constants import ALERT_PUSH_URL
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from utils.logger import get_logger
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logger = get_logger(__name__)
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# 告警推送频率限制（秒）
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ALERT_PUSH_INTERVAL = 5.0
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class BaseFrameProcessorWorker(threading.Thread):
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"""
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通用帧处理工作线程基类
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功能：
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- 统一异步POST（线程池）
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- 统一告警去重逻辑
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- 统一抽帧控制
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- 统一异常处理
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子类仅需提供：
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- DETECTOR_FACTORY: 检测器工厂函数
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- POST_TYPE: POST请求的type值
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- TARGET_FPS: 目标帧率
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"""
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# ========== 子类必须重写的类常量 ==========
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DETECTOR_FACTORY: Callable = None # 检测器工厂函数
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POST_TYPE: int = 2 # POST type
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TARGET_FPS: float = 10.0 # 目标帧率
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def __init__(self,
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raw_queue: queue.Queue,
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ws_queue: queue.Queue,
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stop_event: threading.Event,
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cameras=None,
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post_workers: int = 4):
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super().__init__(daemon=True)
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self.raw_queue = raw_queue
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self.ws_queue = ws_queue
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self.stop_event = stop_event
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# 将摄像头列表转换为字典，key为id，方便通过camera_id快速查找
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self.cameras = {cam.id: cam for cam in cameras} if cameras is not None else {}
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self.last_ts: Dict[int, float] = {}
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# 检测器实例缓存
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self.detectors: Dict[int, Any] = {}
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# 告警去重记录 {camera_id: {action: last_push_time}}
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self.last_alert_push_time: Dict[int, Dict[str, float]] = {}
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# 异步POST线程池
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self.post_executor = ThreadPoolExecutor(
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max_workers=post_workers,
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thread_name_prefix="alert_post"
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)
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def _encode_image_to_base64(self, img) -> str:
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"""图像编码为 Base64"""
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ok, buf = cv2.imencode(".jpg", img)
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if not ok:
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raise RuntimeError("Failed to encode image to JPEG")
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return base64.b64encode(buf.tobytes()).decode("ascii")
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def _post_alert(self, msg: dict):
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"""异步发送告警 POST 请求（在线程池中执行）"""
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try:
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response = requests.post(ALERT_PUSH_URL, json=msg, timeout=5.0)
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if response.status_code == 200:
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print(f"[INFO] POST alert sent successfully for actions: {msg.get('result_type')}")
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else:
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print(f"[WARN] POST alert failed with status: {response.status_code}")
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except Exception as e:
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print(f"[ERROR] POST alert request failed: {e}")
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def _create_detector(self, params):
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"""创建检测器实例"""
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# 使用 type(self) 访问类属性，避免 lambda 被绑定 self 参数
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factory = type(self).DETECTOR_FACTORY
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if factory is None:
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raise NotImplementedError("子类必须提供 DETECTOR_FACTORY")
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return factory(params)
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def _filter_duplicate_alerts(self, cam_id: int, alerts: list, current_time: float) -> list:
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"""
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过滤5秒内重复的告警
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Args:
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cam_id: 摄像头ID
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alerts: 当前帧的告警列表
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current_time: 当前时间戳
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Returns:
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符合推送条件的action列表
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"""
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if cam_id not in self.last_alert_push_time:
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self.last_alert_push_time[cam_id] = {}
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push_actions = []
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for alert in alerts:
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action = alert['action']
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last_push = self.last_alert_push_time[cam_id].get(action, 0)
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# 检查是否超过推送间隔
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if current_time - last_push >= ALERT_PUSH_INTERVAL:
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push_actions.append(action)
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# 更新该action的最后推送时间
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self.last_alert_push_time[cam_id][action] = current_time
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return push_actions
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def run(self):
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"""主循环 - 模板方法"""
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target_interval = 1.0 / self.TARGET_FPS
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while not self.stop_event.is_set():
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try:
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item = self.raw_queue.get(timeout=0.5)
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except queue.Empty:
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continue
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try:
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cam_id = item["camera_id"]
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ts = item["timestamp"]
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frame = item["frame"]
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# 抽帧控制
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if ts - self.last_ts.get(cam_id, 0) < target_interval:
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continue
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self.last_ts[cam_id] = ts
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# 获取或创建检测器实例
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if cam_id not in self.detectors:
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camera_config = self.cameras.get(cam_id)
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params = camera_config.params if camera_config else None
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self.detectors[cam_id] = self._create_detector(params)
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detector = self.detectors[cam_id]
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# 执行检测
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result = detector.process_frame(frame.copy(), cam_id, ts)
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result_img = result["image"]
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result_alerts = result["alerts"]
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# 过滤重复告警
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push_actions = self._filter_duplicate_alerts(
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cam_id, result_alerts, time.time()
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)
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# 编码图像
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try:
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img_b64 = self._encode_image_to_base64(result_img)
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except Exception as e:
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logger.error(f"[ERROR] Encode image failed: {e}")
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img_b64 = None
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# 推送结果
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if img_b64 is not None:
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msg = {
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"msg_type": "frame",
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"camera_id": item["camera_index"],
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"timestamp": ts,
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"result_type": push_actions,
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"image_base64": img_b64,
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}
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try:
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self.ws_queue.put(msg, timeout=1.0)
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if push_actions and len(push_actions) > 0:
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# 异步发送 POST 请求（提交到线程池）
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post_msg = msg.copy()
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post_msg['type'] = self.POST_TYPE
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self.post_executor.submit(self._post_alert, post_msg)
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except queue.Full:
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logger.warning("[WARN] ws_send_queue full, drop frame message")
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except Exception as e:
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logger.error(
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f"[ERROR] Frame processing failed for camera {cam_id if 'cam_id' in locals() else 'unknown'}: {e}")
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logger.exception("Exception details:")
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finally:
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self.raw_queue.task_done()
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# 线程退出时关闭线程池
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self.post_executor.shutdown(wait=False)
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