feat(dashboard): integrate link suggestions and predictive links into UI

- FastAPI: parse_engram now includes link_suggestions and predictive_links from metadata
- FastAPI: add POST /api/links/accept to create links from suggestions
- Dashboard: new renderCardsWithSuggestions() displays suggestions in each card
- Dashboard: acceptLink() function handles click-to-link
- Dashboard: loadCards() calls renderCardsWithSuggestions()
- Systemd: remove DirectoryNotEmpty from ingest path unit (already present)

Refs: #25 #27

cron_tasks/import_context_buffer.py

@@ -15,34 +15,35 @@ from pathlib import Path
 
 BRAIN_DIR = Path("/root/.openclaw/workspace/second-brain")
 WORKSPACE = Path("/root/.openclaw/workspace")
-HANDLER = WORKSPACE / "context-buffer" / "handler.py"
+CURRENT_DIR = WORKSPACE / "context-buffer" / "current"
 
 def run():
-    # Hole alle Topics mit status done/completed via handler
+    # Lese context-buffer index.json direkt
+    index_path = WORKSPACE / "context-buffer" / "index.json"
     try:
-        result = subprocess.run(
-            ["python3", str(HANDLER), "search", "--status", "done"],
-            capture_output=True, text=True, timeout=30
-        )
-        if result.returncode != 0:
-            raise Exception(f"Handler error: {result.stderr}")
-        topics = json.loads(result.stdout)
+        with open(index_path) as f:
+            idx = json.load(f)
+        topics = []
+        for tid, t in idx.get("topics", {}).items():
+            status = t.get("status", "active")
+            if status in ("done", "completed"):
+                # Lade den vollen Inhalt aus der topic-Datei
+                topic_file = CURRENT_DIR / f"topic-{tid}.md"
+                if topic_file.exists():
+                    content = topic_file.read_text(encoding="utf-8")
+                    # Entferne Frontmatter für reinen Content
+                    if content.startswith("---"):
+                        parts = content.split("---", 2)
+                        if len(parts) >= 3:
+                            content = parts[2].strip()
+                    t["content"] = content
+                else:
+                    t["content"] = ""
+                topics.append(t)
     except Exception as e:
         print(json.dumps({"success": False, "error": str(e)}, indent=2, ensure_ascii=False))
         return
 
-    # Alternative: auch 'completed' suchen
-    try:
-        result2 = subprocess.run(
-            ["python3", str(HANDLER), "search", "--status", "completed"],
-            capture_output=True, text=True, timeout=30
-        )
-        if result2.returncode == 0:
-            topics_completed = json.loads(result2.stdout)
-            topics.extend(topics_completed)
-    except Exception:
-        pass
-
     if not topics:
         print(json.dumps({"success": True, "imported": 0, "message": "No completed topics found"}, indent=2, ensure_ascii=False))
         return