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/agents/graphs/ingest_flow.py

@@ -0,0 +1,30 @@
+"""ingest_flow：感知 returned 批次 → 提交 build 审核。"""
+from __future__ import annotations
+
+from typing import Any
+
+from as_platform.agents.tools import invoke_tool, submit_build_for_batch
+from as_platform.agents.trace import start_trace, trace_span
+
+
+def run_ingest_flow(*, task: str = "dam", submitted_by: str = "agent") -> dict[str, Any]:
+    trace_id = start_trace("ingest_flow", task=task)
+    with trace_span("list_pending"):
+        report = invoke_tool("list_pending_batches")
+
+    submitted = []
+    for batch in report.get("batches", []):
+        if batch.get("task") != task:
+            continue
+        if batch.get("stage") != "returned":
+            continue
+        with trace_span("submit_build", batch=batch.get("batch")):
+            apr = submit_build_for_batch(
+                task=task,
+                batch=batch["batch"],
+                pack=batch.get("pack") or "dms_v2",
+                submitted_by=submitted_by,
+            )
+            submitted.append(apr)
+
+    return {"trace_id": trace_id, "submitted": submitted, "count": len(submitted)}

platform/as_platform/agents/graphs/labeling_flow.py

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+"""labeling_flow：列出 raw_pool / out_for_labeling 批次。"""
+from __future__ import annotations
+
+from typing import Any
+
+from as_platform.agents.tools import invoke_tool
+from as_platform.agents.trace import start_trace, trace_span
+
+
+def run_labeling_flow(*, task: str | None = None) -> dict[str, Any]:
+    trace_id = start_trace("labeling_flow", task=task)
+    with trace_span("list_pending"):
+        report = invoke_tool("list_pending_batches")
+
+    batches = [
+        b for b in report.get("batches", [])
+        if b.get("stage") in ("raw_pool", "out_for_labeling", "returned")
+        and (task is None or b.get("task") == task)
+    ]
+    return {"trace_id": trace_id, "batches": batches, "count": len(batches)}

platform/as_platform/agents/graphs/train_promote_flow.py

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+"""train_promote_flow：提交 train 审核（platform 轨）。"""
+from __future__ import annotations
+
+from typing import Any
+
+from as_platform.agents.tools import get_model_versions, invoke_tool, submit_train_job
+from as_platform.agents.trace import start_trace, trace_span
+
+
+def run_train_promote_flow(*, task: str = "dam", submitted_by: str = "agent") -> dict[str, Any]:
+    trace_id = start_trace("train_promote_flow", task=task)
+    with trace_span("get_versions"):
+        versions = get_model_versions(task)
+
+    with trace_span("submit_train"):
+        apr = submit_train_job("dms", task, track="platform", submitted_by=submitted_by)
+
+    return {"trace_id": trace_id, "versions_before": versions, "approval": apr}