command to start sagemaker training

include sample training

src/state.py

@@ -0,0 +1,30 @@
+import json
+from pathlib import Path
+from typing import Any
+
+STATE_FILE = ".qc-cli.json"
+
+
+def _path(config_dir: str) -> Path:
+    return Path(config_dir) / STATE_FILE
+
+
+def read_state(config_dir: str = ".") -> dict[str, Any]:
+    path = _path(config_dir)
+    if not path.exists():
+        return {}
+    with open(path) as f:
+        return json.load(f)
+
+
+def write_state(config_dir: str = ".", **updates: str | None) -> None:
+    path = _path(config_dir)
+    state = read_state(config_dir)
+    state.update(updates)
+    with open(path, "w") as f:
+        json.dump(state, f, indent=2)
+
+
+def get_last_training_job(config_dir: str = ".") -> str | None:
+    value = read_state(config_dir).get("last_training_job")
+    return str(value) if value else None