restore old after-confidence-scoring

src/components/AIQueryInterface.astro

@@ -50,7 +50,7 @@ const domainAgnosticSoftware = data['domain-agnostic-software'] || [];
 
       <!-- Input Layout -->
       <div class="ai-input-layout">
-        <div class="ai-textarea-section">
+        <div class="ai-textarea-section" style="height: 200px">
           <textarea 
             id="ai-query-input" 
             placeholder="Beschreiben Sie Ihr forensisches Szenario..."
@@ -1158,12 +1158,10 @@ class AIQueryInterface {
     const lowConfidenceSteps = auditTrail.filter(entry => (entry.confidence || 0) < 60).length;
     const mediumConfidenceSteps = auditTrail.length - highConfidenceSteps - lowConfidenceSteps;
 
-    // Enhanced metrics
     const aiDecisionCount = auditTrail.filter(entry => entry.action === 'ai-decision').length;
     const embeddingsUsageCount = auditTrail.filter(entry => entry.metadata?.embeddingsUsed).length;
     const toolSelectionCount = auditTrail.filter(entry => entry.action === 'selection-decision').length;
 
-    // Phase breakdown
     const phaseBreakdown = {};
     auditTrail.forEach(entry => {
       const phase = entry.phase || 'unknown';
@@ -1175,7 +1173,6 @@ class AIQueryInterface {
       phaseBreakdown[phase].totalTime += entry.processingTimeMs || 0;
     });
 
-    // Calculate average confidence per phase
     Object.keys(phaseBreakdown).forEach(phase => {
       const phaseEntries = auditTrail.filter(entry => entry.phase === phase);
       const validEntries = phaseEntries.filter(entry => typeof entry.confidence === 'number');
@@ -1191,7 +1188,6 @@ class AIQueryInterface {
     const aiTransparency = auditTrail.length > 0 ? 
       (auditTrail.filter(entry => entry.metadata?.aiPrompt || entry.metadata?.reasoning).length / auditTrail.length) * 100 : 0;
 
-    // RESTORED: Intelligent Analysis Quality Assessment
     let analysisQuality;
     if (avgConfidence >= 85 && lowConfidenceSteps === 0) {
       analysisQuality = 'excellent';
@@ -1203,7 +1199,6 @@ class AIQueryInterface {
       analysisQuality = 'poor';
     }
 
-    // RESTORED: Intelligent Insights Generation
     const keyInsights = [];
     const embeddingsUsed = auditTrail.some(e => e.metadata?.embeddingsUsed);
     if (embeddingsUsed) {
@@ -1226,7 +1221,6 @@ class AIQueryInterface {
       keyInsights.push('Mehrheit der Analyseschritte mit hoher Sicherheit');
     }
 
-    // RESTORED: Automatic Issue Detection (excluding processing time warnings)
     const potentialIssues = [];
     if (lowConfidenceSteps > 2) {
       potentialIssues.push(`${lowConfidenceSteps} Analyseschritte mit niedriger Konfidenz`);