Add comprehensive tests for camera streaming, time synchronization, and auto-recording functionality

- Implemented test script for camera streaming functionality, covering API endpoints and concurrent recording.
- Created time verification script to check system time synchronization against multiple APIs.
- Developed timezone utility tests to validate timezone functions and logging.
- Added integration tests for system components, including configuration, camera discovery, and API endpoints.
- Enhanced MQTT logging and API endpoint tests for machine and MQTT status.
- Established auto-recording tests to simulate state changes and verify automatic recording behavior.
- Created simple tests for auto-recording configuration and API model validation.

ai_agent/examples/demos/cv_grab_callback.py

@@ -0,0 +1,110 @@
+#coding=utf-8
+import cv2
+import numpy as np
+import mvsdk
+import time
+import platform
+
+class App(object):
+	def __init__(self):
+		super(App, self).__init__()
+		self.pFrameBuffer = 0
+		self.quit = False
+
+	def main(self):
+		# 枚举相机
+		DevList = mvsdk.CameraEnumerateDevice()
+		nDev = len(DevList)
+		if nDev < 1:
+			print("No camera was found!")
+			return
+
+		for i, DevInfo in enumerate(DevList):
+			print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
+		i = 0 if nDev == 1 else int(input("Select camera: "))
+		DevInfo = DevList[i]
+		print(DevInfo)
+
+		# 打开相机
+		hCamera = 0
+		try:
+			hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
+		except mvsdk.CameraException as e:
+			print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
+			return
+
+		# 获取相机特性描述
+		cap = mvsdk.CameraGetCapability(hCamera)
+
+		# 判断是黑白相机还是彩色相机
+		monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
+
+		# 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度
+		if monoCamera:
+			mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
+		else:
+			mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
+
+		# 相机模式切换成连续采集
+		mvsdk.CameraSetTriggerMode(hCamera, 0)
+
+		# 手动曝光，曝光时间30ms
+		mvsdk.CameraSetAeState(hCamera, 0)
+		mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
+
+		# 让SDK内部取图线程开始工作
+		mvsdk.CameraPlay(hCamera)
+
+		# 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配
+		FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
+
+		# 分配RGB buffer，用来存放ISP输出的图像
+		# 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer）
+		self.pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
+
+		# 设置采集回调函数
+		self.quit = False
+		mvsdk.CameraSetCallbackFunction(hCamera, self.GrabCallback, 0)
+
+		# 等待退出
+		while not self.quit:
+			time.sleep(0.1)
+
+		# 关闭相机
+		mvsdk.CameraUnInit(hCamera)
+
+		# 释放帧缓存
+		mvsdk.CameraAlignFree(self.pFrameBuffer)
+
+	@mvsdk.method(mvsdk.CAMERA_SNAP_PROC)
+	def GrabCallback(self, hCamera, pRawData, pFrameHead, pContext):
+		FrameHead = pFrameHead[0]
+		pFrameBuffer = self.pFrameBuffer
+
+		mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
+		mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
+
+		# windows下取到的图像数据是上下颠倒的，以BMP格式存放。转换成opencv则需要上下翻转成正的
+		# linux下直接输出正的，不需要上下翻转
+		if platform.system() == "Windows":
+			mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
+		
+		# 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据
+		# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
+		frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
+		frame = np.frombuffer(frame_data, dtype=np.uint8)
+		frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
+
+		frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
+		cv2.imshow("Press q to end", frame)
+		if (cv2.waitKey(1) & 0xFF) == ord('q'):
+			self.quit = True
+
+def main():
+	try:
+		app = App()
+		app.main()
+	finally:
+		cv2.destroyAllWindows()
+
+main()