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/dms_yolo/code.embedded.bak/docs/macros/track-args.md

@@ -0,0 +1,28 @@
+{% macro param_table(params=None) -%}
+| Argument | Type | Default | Description |
+| -------- | ---- | ------- | ----------- |
+{% set default_params = {
+    "source": ["str", "None", "Specifies the source directory for images or videos. Supports file paths, URLs, and video streams."],
+    "persist": ["bool", "False", "Enables persistent tracking of objects between frames, maintaining IDs across video sequences."],
+    "stream": ["bool", "False", "Treats the input source as a continuous video stream for real-time processing."],
+    "tracker": ["str", "'botsort.yaml'", "Specifies the tracking algorithm to use, e.g., `bytetrack.yaml` or `botsort.yaml`."],
+    "conf": ["float", "0.1", "Sets the confidence threshold for detections; lower values allow more objects to be tracked but may include false positives."],
+    "iou": ["float", "0.7", "Sets the [Intersection over Union](https://www.ultralytics.com/glossary/intersection-over-union-iou) (IoU) threshold for filtering overlapping detections."],
+    "classes": ["list", "None", "Filters results by class index. For example, `classes=[0, 2, 3]` only tracks the specified classes."],
+    "verbose": ["bool", "True", "Controls the display of tracking results, providing a visual output of tracked objects."],
+    "device": ["str", "None", "Specifies the device for inference (e.g., `cpu`, `cuda:0` or `0`). Allows users to select between CPU, a specific GPU, or other compute devices for model execution."],
+    "show": ["bool", "False", "If `True`, displays the annotated images or videos in a window for immediate visual feedback."],
+    "line_width": ["int or None", "None", "Specifies the line width of bounding boxes. If `None`, the line width is automatically adjusted based on the image size."]
+} %}
+{% if not params %}
+{% for param, details in default_params.items() %}
+| `{{ param }}` | `{{ details[0] }}` | `{{ details[1] }}` | {{ details[2] }} |
+{% endfor %}
+{% else %}
+{% for param in params %}
+{% if param in default_params %}
+| `{{ param }}` | `{{ default_params[param][0] }}` | `{{ default_params[param][1] }}` | {{ default_params[param][2] }} |
+{% endif %}
+{% endfor %}
+{% endif %}
+{%- endmacro -%}