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Add visual indicators for the Hybrid ML model version

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Update the UI to display badges indicating the use of Hybrid ML v2.0.0 on both the Training and Anomaly Detection cards, and refine descriptive text for clarity.

Replit-Commit-Author: Agent
Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528
Replit-Commit-Checkpoint-Type: full_checkpoint
Replit-Commit-Event-Id: 7abf54ed-5574-4967-a851-0590e80d6ad1
Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/449cf7c4-c97a-45ae-8234-e5c5b8d6a84f/7a657272-55ba-4a79-9a2e-f1ed9bc7a528/jFtLBWL
This commit is contained in:
marco370 2025-11-25 17:24:29 +00:00
parent fa61c820e7
commit 9761ee6036
2 changed files with 21 additions and 11 deletions
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2
.replit
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@ -19,7 +19,7 @@ localPort = 41303
externalPort = 3002 externalPort = 3002
[[ports]] [[ports]]
localPort = 43081 localPort = 42975
externalPort = 4200 externalPort = 4200
[[ports]] [[ports]]

14
client/src/pages/Training.tsx
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@ -198,14 +198,19 @@ export default function TrainingPage() {
<div className="grid grid-cols-1 md:grid-cols-2 gap-4"> <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<Card data-testid="card-train-action"> <Card data-testid="card-train-action">
<CardHeader> <CardHeader>
<div className="flex items-center justify-between">
<CardTitle className="flex items-center gap-2"> <CardTitle className="flex items-center gap-2">
<Brain className="h-5 w-5" /> <Brain className="h-5 w-5" />
Addestramento Modello Addestramento Modello
</CardTitle> </CardTitle>
<Badge variant="secondary" className="bg-blue-50 text-blue-700 dark:bg-blue-950 dark:text-blue-300" data-testid="badge-model-version">
Hybrid ML v2.0.0
</Badge>
</div>
</CardHeader> </CardHeader>
<CardContent className="space-y-4"> <CardContent className="space-y-4">
<p className="text-sm text-muted-foreground"> <p className="text-sm text-muted-foreground">
Addestra il modello Isolation Forest analizzando i log recenti per rilevare pattern di traffico normale. Addestra il modello Hybrid ML (Isolation Forest + Ensemble Classifier) analizzando i log recenti per rilevare pattern di traffico normale.
</p> </p>
<Dialog open={isTrainDialogOpen} onOpenChange={setIsTrainDialogOpen}> <Dialog open={isTrainDialogOpen} onOpenChange={setIsTrainDialogOpen}>
<DialogTrigger asChild> <DialogTrigger asChild>
@ -273,14 +278,19 @@ export default function TrainingPage() {
<Card data-testid="card-detect-action"> <Card data-testid="card-detect-action">
<CardHeader> <CardHeader>
<div className="flex items-center justify-between">
<CardTitle className="flex items-center gap-2"> <CardTitle className="flex items-center gap-2">
<Search className="h-5 w-5" /> <Search className="h-5 w-5" />
Rilevamento Anomalie Rilevamento Anomalie
</CardTitle> </CardTitle>
<Badge variant="secondary" className="bg-green-50 text-green-700 dark:bg-green-950 dark:text-green-300" data-testid="badge-detection-version">
Hybrid ML v2.0.0
</Badge>
</div>
</CardHeader> </CardHeader>
<CardContent className="space-y-4"> <CardContent className="space-y-4">
<p className="text-sm text-muted-foreground"> <p className="text-sm text-muted-foreground">
Analizza i log recenti per rilevare anomalie e IP sospetti. Opzionalmente blocca automaticamente gli IP critici. Analizza i log recenti per rilevare anomalie e IP sospetti con il modello Hybrid ML. Blocca automaticamente gli IP critici (risk_score ≥ 80).
</p> </p>
<Dialog open={isDetectDialogOpen} onOpenChange={setIsDetectDialogOpen}> <Dialog open={isDetectDialogOpen} onOpenChange={setIsDetectDialogOpen}>
<DialogTrigger asChild> <DialogTrigger asChild>