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fix(ui): hide correlations - they're not actionable yet

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Correlations currently show 'A and B alert together' which isn't useful:
- Bidirectional correlations (A→B AND B→A) are just coincidence
- 'experiences alert' is too vague to be actionable
- No root cause identification - just shows correlated things correlate

Hidden until we can properly identify:
- Root cause chains (A CAUSES B, not just 'A and B happen together')
- Specific trigger types (what kind of alert?)
- Direction of causality

Other improvements:
- Stopped VMs/containers filtered from anomaly detection
- Lower noise, more signal
This commit is contained in:
rcourtman 2025-12-21 12:46:57 +00:00
parent 367d22e937
commit 5138b01ed8
1 changed files with 29 additions and 25 deletions
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54
frontend-modern/src/components/shared/AIOverviewTable.tsx
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@ -211,30 +211,34 @@ export const AIOverviewTable: Component<{ showWhenEmpty?: boolean }> = (props) =
});
}
// Correlations - only show high-confidence (>=70%) to avoid noise
// Low confidence correlations are likely coincidental and not actionable
const MIN_CORRELATION_CONFIDENCE = 0.70;
const highConfidenceCorrelations = correlations().filter(c => c.confidence >= MIN_CORRELATION_CONFIDENCE);
const sortedCorrelations = [...highConfidenceCorrelations].sort((a, b) => b.confidence - a.confidence);
const visibleCorrelations = showAllDependencies()
? sortedCorrelations
: sortedCorrelations.slice(0, DEPENDENCY_LIMIT);
// CORRELATIONS HIDDEN - they need more work to be genuinely useful
// Current state: "A and B alert together" (bidirectional) is not actionable
// Shows that correlated things are correlated - no root cause identification
// TODO: Re-enable when we can identify root cause chains (A causes B, not just A+B)
//
// const MIN_CORRELATION_CONFIDENCE = 0.70;
// const highConfidenceCorrelations = correlations().filter(c => c.confidence >= MIN_CORRELATION_CONFIDENCE);
// const sortedCorrelations = [...highConfidenceCorrelations].sort((a, b) => b.confidence - a.confidence);
// const visibleCorrelations = showAllDependencies()
// ? sortedCorrelations
// : sortedCorrelations.slice(0, DEPENDENCY_LIMIT);
//
// for (const corr of visibleCorrelations) {
// rows.push({
// id: `corr-${corr.source_id}-${corr.target_id}`,
// type: 'prediction',
// typeBadge: 'Dependency',
// typeBadgeClass: 'bg-indigo-100 text-indigo-700 dark:bg-indigo-900/40 dark:text-indigo-300',
// title: `${corr.source_name || corr.source_id} → ${corr.target_name || corr.target_id}`,
// subtitle: corr.description || `${corr.event_pattern} (${corr.occurrences} observations)`,
// timestamp: `Delay: ${corr.avg_delay}`,
// confidence: corr.confidence,
// locked: false,
// badgeClass: 'text-indigo-600 dark:text-indigo-400',
// });
// }
for (const corr of visibleCorrelations) {
rows.push({
id: `corr-${corr.source_id}-${corr.target_id}`,
type: 'prediction',
typeBadge: 'Dependency',
typeBadgeClass: 'bg-indigo-100 text-indigo-700 dark:bg-indigo-900/40 dark:text-indigo-300',
title: `${corr.source_name || corr.source_id} → ${corr.target_name || corr.target_id}`,
subtitle: corr.description || `${corr.event_pattern} (${corr.occurrences} observations)`,
timestamp: `Delay: ${corr.avg_delay}`,
confidence: corr.confidence,
locked: false,
badgeClass: 'text-indigo-600 dark:text-indigo-400',
});
}
// Remediations - ONLY show actual ACTIONS (restarts, resizes, cleanups, fixes)
@ -564,11 +568,11 @@ export const AIOverviewTable: Component<{ showWhenEmpty?: boolean }> = (props) =
// Calculate hidden items per section
const hiddenDependencies = () => {
// Only count high-confidence correlations (>=70%)
const highConfidence = correlations().filter(c => c.confidence >= 0.70);
return showAllDependencies() ? 0 : Math.max(0, highConfidence.length - DEPENDENCY_LIMIT);
// Correlations hidden from display - always return 0
return 0;
};
const hiddenActions = () => {
const actionable = remediations().filter(rem => {
const cmd = rem.action.trim().replace(/^\[[^\]]+\]\s*/, '');