fix(cron): Session-Takeover-Workaround, mobil-Dashboard, Import-Fix standalone

- feat(isolation): Cron-Wrapper (subprocess, /workspace/cron_tasks)
- fix(dashboard): mobil-optimierte Karten statt Tabelle
- fix(imports): sys.path + venv auto-activation
- chore: Lasse flüchtiges /tmp hinter mir

Closes-Bug: Session-Takeover bei isolated Cron
Engramme-bestaetigt: Standalone-Import-OK, Wrapper-getestet

src/openclaw_bridge.py

@@ -16,10 +16,27 @@ from pathlib import Path
 from datetime import datetime, timezone
 from typing import Optional, List, Dict, Any
 
+# Ensure project root is on sys.path for standalone usage
+project_root = str(Path(__file__).parent.parent)
+if project_root not in sys.path:
+    sys.path.insert(0, project_root)
+
+# Activate virtualenv if available (for chromadb etc.)
+venv_path = Path(__file__).parent.parent / ".venv"
+if venv_path.exists():
+    venv_site_packages = list((venv_path / "lib").glob("python3.*/site-packages"))
+    if venv_site_packages and str(venv_site_packages[0]) not in sys.path:
+        sys.path.insert(0, str(venv_site_packages[0]))
+
 # Second Brain Import
-from .store import EngramStore
-from .engram import Engram, Grounding
-from .retriever import Retriever
+from src.engram import Engram, Grounding
+from src.store import EngramStore
+
+# Retriever: optional (braucht chromadb)
+try:
+    from src.retriever import Retriever
+except ImportError:
+    Retriever = None
 
 
 # --- Konfiguration ---
@@ -75,11 +92,6 @@ def heartbeat_check() -> Optional[str]:
     Rückgabe: Nachricht für den User, oder None wenn nichts zu tun.
     """
     store = get_brain()
-    ret = Retriever(store)
-
-    # A: Unbestätigte Engramme die seit längerem nicht geprüft wurden
-    # B: Hohe-Prioritäts-Themen (tags wie "wichtig", "dringend")
-    # C: Fehler-Engramme die repeating sind
 
     # Prüfe auf wichtige unbestätigte Engramme
     egs = store.get_all(limit=50)
@@ -89,8 +101,7 @@ def heartbeat_check() -> Optional[str]:
     ][:5]
 
     if unconfirmed:
-        ids = ", ".join([str(eg.id)[:8] for eg in unconfirmed])
-        contents = "\n".join([f"  - {eg.content[:80]}" for eg in unconfimed])
+        contents = "\n".join([f"  - {eg.content[:80]}" for eg in unconfirmed])
         return (
             f"🧠 Second Brain Heartbeat\n"
             f"Unbestätigte Engramme mit gutem Confidence-Score:\n{contents}\n"
@@ -195,8 +206,15 @@ def enrich_context(topic: str, limit: int = 3) -> str:
         # memory_context in das Prompt einbauen
     """
     store = get_brain()
-    ret = Retriever(store)
-    results = ret.retrieve(topic, limit=limit, min_confidence=0.3)
+
+    # Versuche Retriever (mit Embeddings), fallback auf einfache Textsuche
+    if Retriever:
+        ret = Retriever(store)
+        results = ret.retrieve(topic, limit=limit, min_confidence=0.3)
+    else:
+        results_raw = store.search_text(topic, limit=limit)
+        results = [{"engram": eg, "score": 0.5} for eg in results_raw]
+
     if not results:
         return ""