feat: initial HSAP platform

Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>

platform/as_platform/data/organize.py

@@ -0,0 +1,38 @@
+"""数据整理：校验摘要写入 batch.meta。"""
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Any
+
+from as_platform.data.batch import META_FILENAME, count_images, count_label_files, read_meta, write_meta
+
+
+def organize_batch(batch_dir: Path, *, task: str | None = None) -> dict[str, Any]:
+    """生成整理报告并合并进 batch.meta.yaml。"""
+    batch_dir = batch_dir.resolve()
+    if not batch_dir.is_dir():
+        raise FileNotFoundError(batch_dir)
+
+    images = count_images(batch_dir / "images") + count_images(batch_dir / "images" / "train")
+    labels = count_label_files(batch_dir / "labels") + count_label_files(batch_dir / "labels" / "train")
+
+    report: dict[str, Any] = {
+        "task": task,
+        "images": images,
+        "labels": labels,
+        "pair_ratio": round(labels / images, 3) if images else 0,
+        "ready_for_ingest": images > 0 and labels > 0,
+        "issues": [],
+    }
+    if images and not labels:
+        report["issues"].append("missing_labels")
+    if labels and not images:
+        report["issues"].append("missing_images")
+
+    meta = read_meta(batch_dir) or {}
+    meta["organize_report"] = report
+    meta.setdefault("counts", {})
+    meta["counts"]["images"] = images
+    meta["counts"]["labels"] = labels
+    write_meta(batch_dir, meta)
+    return report