Fix remote training and model validation pipeline

crypto_spot_bot/training_coordination.py

@@ -215,6 +215,10 @@ class TrainingCoordinator:
             job["message"] = str(payload.get("message") or "")
             if isinstance(payload.get("summary"), dict):
                 job["summary"] = payload["summary"]
+                if isinstance(payload["summary"].get("accepted"), bool):
+                    job["model_decision"] = (
+                        "accepted" if payload["summary"]["accepted"] else "rejected"
+                    )
             self._save_state(state)
             return {"ok": True, "job": job, "status": self._public_status(state)}
 
@@ -294,10 +298,11 @@ class TrainingCoordinator:
         os.replace(tmp, self.state_path)
 
     def _worker_from_payload(self, payload: dict[str, Any]) -> dict[str, Any]:
+        worker_id = str(payload.get("worker_id") or payload.get("id") or "windows-training-host").strip()
         return {
-            "id": str(payload.get("worker_id") or payload.get("id") or "windows-training-host"),
-            "name": str(payload.get("name") or "DESKTOP-TMFDL0H"),
-            "path": str(payload.get("path") or "C:\\Repos\\TradeBot"),
+            "id": worker_id,
+            "name": str(payload.get("name") or worker_id).strip(),
+            "path": str(payload.get("path") or "").strip(),
             "version": str(payload.get("version") or "1"),
             "last_seen_at": _now(),
         }