Fixed both issues

src/fgai/dashboard.py

@@ -414,6 +414,14 @@ function drawCorrelationGraph(correlations) {
   const canvas=document.getElementById('correlationGraph'), ctx=canvas.getContext('2d'), ratio=window.devicePixelRatio||1, cw=canvas.clientWidth, ch=canvas.clientHeight;
   canvas.width=cw*ratio; canvas.height=ch*ratio; ctx.scale(ratio,ratio); ctx.clearRect(0,0,cw,ch);
   const short=(value,max=22)=>String(value||'-').length>max?`${String(value).slice(0,max-3)}...`:String(value||'-');
+  const usefulResource = value => {
+    const text = String(value || '').trim();
+    if (!text || ['-', '0', 'unknown', 'n/a', 'none', 'null'].includes(text.toLowerCase())) return '';
+    if (/^\\d+(\\.\\d+)?$/.test(text)) return '';
+    if (/^\\d{4}-\\d{2}-\\d{2}t/i.test(text)) return '';
+    return text;
+  };
+  const sampleResource = item => usefulResource(item.destination) || usefulResource(item.service) || usefulResource(item.type) || usefulResource(item.context);
   const items=[...(correlations||[])].sort((a,b)=>(Number(b.security_events)||0)-(Number(a.security_events)||0) || (Number(b.events)||0)-(Number(a.events)||0) || (b.streams||[]).length-(a.streams||[]).length).slice(0,8);
   uiCache.correlationHitboxes = [];
   if (!items.length) { ctx.fillStyle='#91abc4'; ctx.font='14px Arial'; ctx.fillText('No multi-stream entities in the current analysis window.', 16, 28); return; }
@@ -424,7 +432,7 @@ function drawCorrelationGraph(correlations) {
   const center={x:cw*.48,y:ch*.48};
   const streams=(selected.streams||[]).slice(0,7);
   const samples=(selected.samples||[]).slice(0,8);
-  const resources=[...new Set(samples.map(item => item.destination || item.service || item.type || '').filter(Boolean))].slice(0,5);
+  const resources=[...new Set(samples.map(sampleResource).filter(Boolean))].slice(0,5);
   const outer=[...streams.map(name=>({kind:'stream', name})), ...resources.map(name=>({kind:'resource', name}))];
   const radius=Math.max(86, Math.min(cw,ch)*.32);
   ctx.strokeStyle='#163b59';
@@ -466,7 +474,7 @@ function drawCorrelationGraph(correlations) {
   drawNode(center.x, center.y, 24, Number(selected.security_events||0) ? '#d95f5f' : '#2389cc', correlationShortLabel(selected), `${Number(selected.events)||0} events / ${Number(selected.security_events)||0} security`, correlationKey(selected));
   nodePositions.forEach(node => {
     const color=node.kind==='stream' ? '#238b5d' : '#6f55c8';
-    const count=samples.filter(sample => sample.stream===node.name || sample.destination===node.name || sample.service===node.name || sample.type===node.name).length;
+    const count=samples.filter(sample => sample.stream===node.name || sampleResource(sample)===node.name).length;
     drawNode(node.x,node.y,node.kind==='stream'?15:13,color,node.name,count?`${count} samples`:node.kind,'');
   });
   const sideX=20, sideY=28;
@@ -532,9 +540,10 @@ async function refresh() {
     metric('Anomalies high+', (a.high || 0) + (a.critical || 0))
   ].join('');
   const llm = data.llm_assessment || {};
+  const llmEnabled = Boolean(llm.enabled || configuration.llm_enabled);
   document.getElementById('capabilities').innerHTML = [
     capability('Baseline', baseline.enabled ? 'on' : 'warn', baseline.enabled ? `${baseline.sources_ready || 0} sources ready` : 'disabled'),
-    capability('Ollama', llm.enabled && llm.status !== 'error' ? 'on' : 'warn', llm.enabled ? (llm.status || 'starting') : 'disabled'),
+    capability('Ollama', llmEnabled && llm.status !== 'error' ? 'on' : 'warn', llmEnabled ? (llm.status || 'starting') : 'disabled'),
     capability('Threat Intel', threat.enabled && threat.configured ? 'on' : 'warn', threat.enabled ? `${threat.provider || 'unknown'}${threat.configured ? '' : ', key missing'}` : 'disabled'),
     capability('Graylog MCP', mcp.status === 'connected' ? 'on' : 'warn', configuration.log_source === 'graylog_mcp' ? (mcp.status || 'checking') : 'not selected')
   ].join('');

src/fgai/monitor.py

@@ -578,5 +578,7 @@ def monitor_loop(
                 }
         else:
             status["llm_assessment"] = {"enabled": False, "status": "disabled", "text": ""}
+        if status_cache_path and isinstance(mcp, dict) and mcp.get("status") not in {"error", "refreshing"}:
+            StatusSnapshotStore(status_cache_path).save("last_good", status)
         write_status(status, output)
         time.sleep(interval)

tests/test_monitor.py

@@ -82,6 +82,7 @@ class MonitorTests(unittest.TestCase):
                     "summary": {"total": 1234},
                     "capabilities": {"graylog_mcp": {"status": "connected", "events_fetched": 99, "raw_events_fetched": 88, "aggregate_events": 1234, "fetch_mode": "aggregate", "coverage_status": "complete_window"}},
                     "cross_source_correlations": [{"entity": "10.0.0.1", "entity_label": "host01 (10.0.0.1)"}],
+                    "llm_assessment": {"enabled": True, "status": "cached", "text": "previous assessment"},
                 },
             )
 
@@ -95,6 +96,7 @@ class MonitorTests(unittest.TestCase):
             self.assertEqual(mcp["raw_events_fetched"], 88)
             self.assertEqual(mcp["aggregate_events"], 1234)
             self.assertEqual(mcp["previous_status"], "connected")
+            self.assertTrue(status["llm_assessment"]["enabled"])
             self.assertTrue(status["status_cache"]["served_from_cache"])
 
     def test_profile_readiness_includes_stream_and_profile_names(self):