Complete training workflow and acceptance hardening

scripts/sip_recording_cleanup.py

@@ -0,0 +1,49 @@
+"""Narrow cleanup helper for disposable SIP/WebRTC acceptance runs."""
+
+import subprocess
+from pathlib import Path
+from typing import Callable
+
+
+def remove_smoke_recordings(
+    root: Path,
+    names: set[str],
+    *,
+    runner: Callable[..., subprocess.CompletedProcess] | None = None,
+) -> bool:
+    """Remove exact WAV basenames from this Compose project's SIP volume."""
+    safe_names = sorted(
+        name for name in names
+        if Path(name).name == name and name.endswith(".wav")
+    )
+    if not safe_names:
+        return True
+    run = runner or subprocess.run
+    result = run(
+        [
+            "docker", "compose", "-f", "docker-compose.yml", "-f", "docker-compose.sip.yml",
+            "exec", "-T", "sip", "rm", "-f", "--",
+            *(f"/recordings/{name}" for name in safe_names),
+        ],
+        cwd=root,
+        check=False,
+        capture_output=True,
+        text=True,
+    )
+    if result.returncode != 0:
+        return False
+    verification = run(
+        [
+            "docker", "compose", "-f", "docker-compose.yml", "-f", "docker-compose.sip.yml",
+            "exec", "-T", "sip", "find", "/recordings", "-maxdepth", "1",
+            "-type", "f", "-name", "*.wav",
+        ],
+        cwd=root,
+        check=False,
+        capture_output=True,
+        text=True,
+    )
+    if verification.returncode != 0:
+        return False
+    remaining = {Path(line).name for line in verification.stdout.splitlines()}
+    return not remaining.intersection(safe_names)