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REFACTOR external service and improve websocket training

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This commit is contained in:
Urtzi Alfaro
2025-10-09 14:11:02 +02:00
parent 7c72f83c51
commit 3c689b4f98
111 changed files with 13289 additions and 2374 deletions
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21
frontend/src/components/domain/onboarding/steps/MLTrainingStep.tsx
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@@ -95,21 +95,24 @@ export const MLTrainingStep: React.FC<MLTrainingStepProps> = ({
}
);
// Handle training status updates from HTTP polling (fallback only)
// Handle training status updates from React Query cache (updated by WebSocket or HTTP fallback)
useEffect(() => {
if (!jobStatus || !jobId || trainingProgress?.stage === 'completed') {
return;
}
console.log('📊 HTTP fallback status update:', jobStatus);
console.log('📊 Training status update from cache:', jobStatus,
`(source: ${isConnected ? 'WebSocket' : 'HTTP polling'})`);
// Check if training completed via HTTP polling fallback
// Check if training completed
if (jobStatus.status === 'completed' && trainingProgress?.stage !== 'completed') {
console.log('✅ Training completion detected via HTTP fallback');
console.log(`✅ Training completion detected (source: ${isConnected ? 'WebSocket' : 'HTTP polling'})`);
setTrainingProgress({
stage: 'completed',
progress: 100,
message: 'Entrenamiento completado exitosamente (detectado por verificación HTTP)'
message: isConnected
? 'Entrenamiento completado exitosamente'
: 'Entrenamiento completado exitosamente (detectado por verificación HTTP)'
});
setIsTraining(false);
@@ -122,15 +125,15 @@ export const MLTrainingStep: React.FC<MLTrainingStepProps> = ({
});
}, 2000);
} else if (jobStatus.status === 'failed') {
console.log('❌ Training failure detected via HTTP fallback');
console.log(`❌ Training failure detected (source: ${isConnected ? 'WebSocket' : 'HTTP polling'})`);
setError('Error detectado durante el entrenamiento (verificación de estado)');
setIsTraining(false);
setTrainingProgress(null);
} else if (jobStatus.status === 'running' && jobStatus.progress !== undefined) {
// Update progress if we have newer information from HTTP polling fallback
// Update progress if we have newer information
const currentProgress = trainingProgress?.progress || 0;
if (jobStatus.progress > currentProgress) {
console.log(`📈 Progress update via HTTP fallback: ${jobStatus.progress}%`);
console.log(`📈 Progress update (source: ${isConnected ? 'WebSocket' : 'HTTP polling'}): ${jobStatus.progress}%`);
setTrainingProgress(prev => ({
...prev,
stage: 'training',
@@ -140,7 +143,7 @@ export const MLTrainingStep: React.FC<MLTrainingStepProps> = ({
}) as TrainingProgress);
}
}
}, [jobStatus, jobId, trainingProgress?.stage, onComplete]);
}, [jobStatus, jobId, trainingProgress?.stage, onComplete, isConnected]);
// Auto-trigger training when component mounts
useEffect(() => {