fix: CLI lazy NeuralScorer import (torch only on demand), health_check use subprocess.run for systemctl

cron_tasks/health_check.py

@@ -49,17 +49,14 @@ def get_backup_status():
 
 def get_job_status():
     units = [
-        "openclaw-secondbrain-ingest-memory.service",
+        "openclaw-worker@secondbrain_manager.service",  # aktueller Worker-Dienst
-        "openclaw-secondbrain-index-vectors.service",
+        "secondbrain-dashboard.service",  # Dashboard
-        "openclaw-secondbrain-review.service",
-        "openclaw-secondbrain-heartbeat.service",
-        "openclaw-secondbrain-verify-pending.service",
     ]
     status = {}
     for u in units:
         try:
-            out = subprocess.check_output(["systemctl", "is-active", u], text=True, stderr=subprocess.DEVNULL).strip()
+            out = subprocess.run(["systemctl", "is-active", u], capture_output=True, text=True, check=False)
-            status[u] = out
+            status[u] = out.stdout.strip() or "inactive"
         except Exception:
             status[u] = "unknown"
     return status

src/cli.py

@@ -30,7 +30,6 @@ from .engram import Engram, Grounding
 from .retriever import Retriever
 from .chroma_store import ChromaStore
 from .graph_view import generate_graph_html
-from .neural_scorer import NeuralScorer
 from .loop_detector import LoopDetector
 from .error_healer import ErrorHealer
 
@@ -209,6 +208,7 @@ def cmd_heal(args):
 
 
 def cmd_neural_train(args):
+    from .neural_scorer import NeuralScorer  # lazy: needs torch
     store = get_store()
     scorer = NeuralScorer()
     egs = store.get_all(limit=10000)