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/__init__.py

@@ -1,8 +1,14 @@
 """Second Brain - Gedächtnissystem für OpenClaw."""
 
+try:
     from .engram import Engram, Grounding, Correctness, ReviewEntry
     from .store import EngramStore
     from .retriever import Retriever
+except ImportError:
+    # Fallback: ChromaDB optional, SQLite-core funktioniert immer
+    from .engram import Engram, Grounding, Correctness, ReviewEntry
+    from .store import EngramStore
+    Retriever = None
 
 __version__ = "0.1.0"
 __all__ = ["Engram", "Grounding", "Correctness", "ReviewEntry", "EngramStore", "Retriever"]

src/dashboard.py

@@ -13,12 +13,23 @@ import argparse
 import http.server
 import socketserver
 import webbrowser
+import sys
 from pathlib import Path
 from uuid import UUID
 
-from .store import EngramStore
-from .engram import Engram, Grounding
-from .retriever import Retriever
+# Insert project root so `python3 src/dashboard.py` works without `-m`
+project_root = str(Path(__file__).parent.parent)
+if project_root not in sys.path:
+    sys.path.insert(0, project_root)
+
+from src.store import EngramStore
+from src.engram import Engram, Grounding
+
+# Retriever: optional – im venv verfügbar, sonst Fallback
+try:
+    from src.retriever import Retriever
+except ImportError:
+    Retriever = None
 
 DB_PATH = Path(__file__).parent.parent / "data" / "brain.sqlite"
 HTML_PATH = Path(__file__).parent.parent / "data" / "dashboard.html"
@@ -27,9 +38,29 @@ HTML_PATH = Path(__file__).parent.parent / "data" / "dashboard.html"
 def generate_dashboard() -> str:
     """Generiert HTML-Dashboard aus aktuellem Brain-Stand."""
     store = EngramStore(str(DB_PATH))
+    egs = store.get_all(limit=100)
+
+    # Stats: mit Retriever (venv) oder manuell berechnen
+    if Retriever:
         ret = Retriever(store)
         stats = ret.stats()
-    egs = store.get_all(limit=100)
+        errors = store.search_tag("error", limit=100)
+        stats["errors"] = len(errors)
+    else:
+        from src.engram import Correctness
+        all_egs = store.get_all(limit=10000)
+        confirmed = sum(1 for e in all_egs if e.correctness.confirmed)
+        errors = store.search_tag("error", limit=100)
+        confidences = [e.compute_confidence() for e in all_egs]
+        stats = {
+            "total_engrams": len(all_egs),
+            "confirmed": confirmed,
+            "unconfirmed": len(all_egs) - confirmed,
+            "sources": {},
+            "db_size_bytes": 0,
+            "avg_confidence": sum(confidences) / len(confidences) if confidences else 0.0,
+            "errors": len(errors),
+        }
 
     # Farbe nach Confidence
     def color(conf):
@@ -48,95 +79,81 @@ def generate_dashboard() -> str:
         except:
             return "UNKNOWN"
 
-    # Liste der Engramme
-    rows = []
+    # Karten-Ansicht für Mobil
+    card_rows = []
     for eg in egs:
         conf = eg.compute_confidence()
-        rows.append(f"""
-        <tr>
-            <td><span style="color:{color(conf)};font-size:1.2em">{marker(conf)}</span></td>
-            <td><code>{str(eg.id)[:8]}</code></td>
-            <td>{eg.content[:100]}{'...' if len(eg.content) > 100 else ''}</td>
-            <td><span class="badge">{grounding_name(eg.metadata.get('grounding', 0))}</span></td>
-            <td><span class="badge">{eg.metadata.get('source', '?')}</span></td>
-            <td>{conf:.2f}</td>
-            <td>{eg.correctness.confirmations}/{eg.correctness.rejections}</td>
-            <td>{eg.metadata.get('access_count', 0)}</td>
-            <td>{', '.join(eg.metadata.get('tags', [])[:3])}</td>
-        </tr>
+        card_rows.append(f"""
+        <div class="card">
+            <div class="card-header">
+                <span>{marker(conf)} {str(eg.id)[:8]}</span>
+                <span class="badge" style="background:rgba({int((1-conf)*200+55)},{int(conf*200+55)},100,0.3)">{conf:.2f}</span>
+            </div>
+            <div class="card-content">{eg.content[:150]}{'...' if len(eg.content) > 150 else ''}</div>
+            <div class="card-meta">
+                <span class="badge">{grounding_name(eg.metadata.get('grounding', 0))}</span>
+                <span class="badge">{eg.metadata.get('source', '?')}</span>
+                <span class="badge">✓{eg.correctness.confirmations}/✗{eg.correctness.rejections}</span>
+                {' '.join([f'<span class="badge">{t}</span>' for t in eg.metadata.get('tags', [])[:3]])}
+            </div>
+        </div>
         """)
 
     html = f"""<!DOCTYPE html>
 <html lang="de">
 <head>
 <meta charset="UTF-8">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>🧠 Second Brain Dashboard</title>
+<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
+<title>🧠 Second Brain</title>
 <style>
     :root {{ --bg: #1a1a2e; --card: #16213e; --text: #eee; --accent: #0f4c75; }}
-    body {{ font-family: -apple-system, BlinkMacSystemFont, sans-serif; background: var(--bg); color: var(--text); margin: 0; padding: 20px; }}
-    h1 {{ margin: 0 0 10px; font-size: 1.8em; }}
-    .stats {{ display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); gap: 15px; margin-bottom: 25px; }}
-    .stat-card {{ background: var(--card); border-radius: 12px; padding: 15px; text-align: center; }}
-    .stat-card .num {{ font-size: 2em; font-weight: bold; color: #4fc3f7; }}
-    .stat-card .lbl {{ font-size: 0.85em; opacity: 0.7; }}
-    table {{ width: 100%; border-collapse: collapse; background: var(--card); border-radius: 12px; overflow: hidden; }}
-    th {{ text-align: left; padding: 10px; background: var(--accent); font-size: 0.85em; text-transform: uppercase; }}
-    td {{ padding: 8px 10px; border-bottom: 1px solid rgba(255,255,255,0.05); font-size: 0.9em; vertical-align: top; }}
-    tr:hover td {{ background: rgba(255,255,255,0.03); }}
-    .badge {{ display: inline-block; padding: 2px 8px; border-radius: 12px; background: rgba(79,195,247,0.2); font-size: 0.75em; }}
-    .search {{ margin-bottom: 20px; }}
-    .search input {{ width: 100%; max-width: 400px; padding: 10px 15px; border-radius: 8px; border: 1px solid rgba(255,255,255,0.1); background: var(--card); color: var(--text); font-size: 1em; }}
-    .refresh {{ position: fixed; top: 20px; right: 20px; background: #2ecc71; color: #000; border: none; padding: 10px 20px; border-radius: 8px; cursor: pointer; font-weight: bold; }}
-    .footer {{ margin-top: 30px; text-align: center; opacity: 0.5; font-size: 0.8em; }}
+    body {{ font-family: -apple-system, BlinkMacSystemFont, sans-serif; background: var(--bg); color: var(--text); margin: 0; padding: 10px; font-size: 14px; }}
+    h1 {{ margin: 0 0 8px; font-size: 1.3em; text-align: center; }}
+    .stats {{ display: grid; grid-template-columns: repeat(2, 1fr); gap: 8px; margin-bottom: 15px; }}
+    .stat-card {{ background: var(--card); border-radius: 10px; padding: 10px; text-align: center; }}
+    .stat-card .num {{ font-size: 1.5em; font-weight: bold; color: #4fc3f7; }}
+    .stat-card .lbl {{ font-size: 0.75em; opacity: 0.7; }}
+    .search {{ margin-bottom: 10px; }}
+    .search input {{ width: 100%; box-sizing: border-box; padding: 12px; border-radius: 8px; border: 1px solid rgba(255,255,255,0.1); background: var(--card); color: var(--text); font-size: 16px; }}
+    .card {{ background: var(--card); border-radius: 12px; padding: 12px; margin-bottom: 10px; }}
+    .card-header {{ display: flex; justify-content: space-between; align-items: center; margin-bottom: 6px; }}
+    .card-id {{ font-size: 0.75em; opacity: 0.6; }}
+    .card-content {{ font-size: 0.9em; line-height: 1.4; margin-bottom: 8px; word-break: break-word; }}
+    .card-meta {{ display: flex; flex-wrap: wrap; gap: 6px; font-size: 0.75em; }}
+    .badge {{ display: inline-block; padding: 3px 8px; border-radius: 12px; background: rgba(79,195,247,0.2); }}
+    .refresh {{ position: fixed; bottom: 15px; right: 15px; background: #2ecc71; color: #000; border: none; padding: 12px 16px; border-radius: 50%; cursor: pointer; font-weight: bold; font-size: 1.2em; box-shadow: 0 2px 8px rgba(0,0,0,0.4); }}
+    .footer {{ margin-top: 20px; text-align: center; opacity: 0.5; font-size: 0.7em; padding-bottom: 60px; }}
 </style>
 </head>
 <body>
-    <h1>🧠 Second Brain Dashboard</h1>
-    <button class="refresh" onclick="location.reload()">🔄 Aktualisieren</button>
+    <h1>🧠 Second Brain</h1>
+    <button class="refresh" onclick="location.reload()">↻</button>
 
     <div class="stats">
         <div class="stat-card"><div class="num">{stats['total_engrams']}</div><div class="lbl">Engramme</div></div>
         <div class="stat-card"><div class="num">{stats['confirmed']}</div><div class="lbl">Bestätigt</div></div>
         <div class="stat-card"><div class="num">{stats['unconfirmed']}</div><div class="lbl">Unbestätigt</div></div>
-        <div class="stat-card"><div class="num">{len(stats.get('sources', dict()))}</div><div class="lbl">Quellen</div></div>
-        <div class="stat-card"><div class="num">{stats['db_size_bytes']/1024:.0f}</div><div class="lbl">KB Größe</div></div>
+        <div class="stat-card"><div class="num">{stats['errors']}</div><div class="lbl">Fehler</div></div>
     </div>
 
     <div class="search">
-        <input type="text" placeholder="🔍 Suche nach Engrammen..." id="searchInput" onkeyup="filterTable()">
+        <input type="text" placeholder="🔍 Suche..." id="searchInput" onkeyup="filterCards()">
     </div>
 
-    <table id="engramTable">
-        <thead>
-            <tr>
-                <th>Status</th>
-                <th>ID</th>
-                <th>Inhalt</th>
-                <th>Grounding</th>
-                <th>Quelle</th>
-                <th>Confidence</th>
-                <th>Feedback</th>
-                <th>Zugriffe</th>
-                <th>Tags</th>
-            </tr>
-        </thead>
-        <tbody>
-            {''.join(rows)}
-        </tbody>
-    </table>
+    <div id="cards">
+        {''.join(card_rows)}
+    </div>
 
-    <div class="footer">Generated {__import__('datetime').datetime.now().isoformat()}</div>
+    <div class="footer">Generated {__import__('datetime').datetime.now().strftime('%H:%M')}</div>
 
     <script>
-    function filterTable() {{
+    function filterCards() {{
         var input = document.getElementById('searchInput');
         var filter = input.value.toLowerCase();
-        var table = document.getElementById('engramTable');
-        var rows = table.getElementsByTagName('tr');
-        for (var i=1; i<rows.length; i++) {{
-            var txt = rows[i].textContent || rows[i].innerText;
-            rows[i].style.display = txt.toLowerCase().indexOf(filter) > -1 ? '' : 'none';
+        var cards = document.getElementById('cards').getElementsByClassName('card');
+        for (var i=0; i<cards.length; i++) {{
+            var txt = cards[i].textContent || cards[i].innerText;
+            cards[i].style.display = txt.toLowerCase().indexOf(filter) > -1 ? '' : 'none';
         }}
     }}
     </script>

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()
+
+    # 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 ""