Sanitize SwanLab env before login so 0.9 nested project does not crash

OpenBayes sets SWANLAB_PROJECT as a string; swanlab>=0.9 parses that as
ProjectSettings and raises QuoteAwareEnvSettingsSource. Drop it, keep
SWANLAB_PROJ_NAME, and share run-id extraction with train_k3.

kda/training/swanlab_env.py

@@ -0,0 +1,41 @@
+"""Sanitize SwanLab env before import/init.
+
+swanlab>=0.9 ``Settings.project`` is a nested model. A string
+``SWANLAB_PROJECT`` (OpenBayes and older docs) makes pydantic raise
+``error parsing value for field "project" from source
+_QuoteAwareEnvSettingsSource``. Project name belongs in
+``SWANLAB_PROJ_NAME`` / ``init(project=...)``.
+"""
+
+from __future__ import annotations
+
+import os
+
+
+def prepare_swanlab_env(default_project: str = "kda") -> str:
+    """Drop nested ``SWANLAB_PROJECT``, keep a plain project name.
+
+    Must run before ``import swanlab`` / ``swanlab.login`` / ``init``.
+    """
+    raw = os.environ.pop("SWANLAB_PROJECT", None)
+    name = os.environ.get("SWANLAB_PROJ_NAME") or raw or default_project
+    name = str(name).strip().strip("\"'")
+    if not name or name[0] in "{[":
+        name = default_project
+    os.environ.pop("SWANLAB_PROJECT", None)
+    os.environ["SWANLAB_PROJ_NAME"] = name
+    return name
+
+
+def swanlab_run_id(run) -> str | None:
+    for attr in ("id", "run_id"):
+        val = getattr(run, attr, None)
+        if isinstance(val, str) and val:
+            return val
+    public = getattr(run, "public", None)
+    if public is not None:
+        for attr in ("cloud_run_id", "run_id", "id"):
+            val = getattr(public, attr, None)
+            if isinstance(val, str) and val:
+                return val
+    return None