Andrei
e94a1018c4
Implemented complete review/edit workflow for voice commands with ML feedback collection: **Backend:** - Created V012 migration for voice_feedback table with user action tracking - Added VoiceFeedback entity with approval/edit/reject actions - Implemented voice feedback API endpoint (POST /api/v1/voice/feedback) - Fixed user ID extraction bug (req.user.userId vs req.user.sub) **Frontend:** - Built VoiceActivityReview component with field-specific editors - Integrated review dialog into voice command workflow - Added approve/edit/reject handlers with feedback submission - Fixed infinite loop by tracking processed classification IDs **Features:** - Users can review AI-extracted data before saving - Quick-edit capabilities for all activity fields - Feedback data stored for ML model improvement - Activity creation only happens after user approval/edit 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
23 lines
571 B
TypeScript
23 lines
571 B
TypeScript
import apiClient from './client';
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export interface VoiceFeedbackData {
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childId?: string;
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activityId?: string;
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transcript: string;
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language?: string;
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extractedType: string;
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extractedData: Record<string, any>;
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confidence?: number;
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action: 'approved' | 'edited' | 'rejected';
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finalType?: string;
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finalData?: Record<string, any>;
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userNotes?: string;
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}
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export const voiceApi = {
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async saveFeedback(feedbackData: VoiceFeedbackData) {
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const response = await apiClient.post('/api/v1/voice/feedback', feedbackData);
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return response.data;
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},
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};
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