feat: HSAP platform v2 — modular navigation, quality review, audit log, world model simulation

Major changes:
- New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind
- 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理
- Data catalog with charts (DMS/ADAS/Lane 3-tab view)
- Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance
- Audit enhancements: batch operations, rejection categories, Feishu notifications
- Operation audit log (操作日志)
- World model simulation studio (仿真工坊)
- Dataset version management with snapshots and diff
- ADAS 7-class dataset integration (138K images organized + compressed)
- User management with Feishu integration and pagination
- CRUD/search/filter on all pages, card layout redesign
- PIL-optimized image overlay rendering
- Auto-snapshot on build, in_review workflow stage
- Removed embedded algorithm code (now in workspace)

algorithms/lane_ufld/code.embedded.bak/UFLD/get_frame.py

@@ -0,0 +1,39 @@
+import cv2
+import os
+from copy import deepcopy
+
+video_full_path = r"C:\data\lane_videos\2022-08-08-14-33-37 Usb Cam Image Raw.mp4"
+cap = cv2.VideoCapture(video_full_path)
+print(cap.isOpened())
+video_name = video_full_path.split('\\')[-1][0:-4]
+print(video_name)
+frame_count = 1
+success = True
+while(success):
+    success, frame = cap.read()
+    print('Read a new frame: ', success)
+    if success == False:
+        break
+    # params.append(cv.CV_IMWRITE_PXM_BINARY)
+    # params.append(1)#
+    # height, weight, banch = frame.shape
+    # print(weight, height, banch)
+    print(frame_count)
+    if frame_count % 10 == 0:
+        dim = (1280, 720)
+        resized_img = cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)
+        save_path = os.path.join("C:\\data\\lane_videos\\frame\\", video_name)
+        if not os.path.exists(save_path):
+            os.makedirs(save_path)
+        cv2.imwrite(save_path + "\\" + video_name + "_%d.png" % frame_count, resized_img)
+        frame_line = deepcopy(resized_img)
+        # for i in range(16, 72):
+        #     cv2.line(frame_line, (0, i * 10), (1279, i * 10), (255, 0, 0), 1)
+        # save_path_l = os.path.join("C:\\Users\\linf1\\Documents\\ZED\\img\\", video_name + '_l')
+        # if not os.path.exists(save_path_l):
+        #     os.makedirs(save_path_l)
+        # cv2.imwrite(save_path_l + "\\" + video_name + "_%d.jpg" % frame_count, frame_line)
+        print('save the %d frame' % frame_count)
+    frame_count = frame_count + 1
+
+cap.release()