Date/Time Formatting Polish:
- Added German and Italian locales to useLocalizedDate hook
- Applied localized date formatting to children birth dates (PPP format)
- InsightsDashboard already using localized date formatting
Number Formatting Polish:
- Applied Intl.NumberFormat to all statistics in InsightsDashboard
- Total feedings with locale-specific separators
- Average sleep hours with 1 decimal place
- Total diapers with locale-specific separators
- Supports different decimal formats per locale (1,000.50 vs 1.000,50)
Error Boundaries:
- Verified ErrorBoundary already implemented and integrated
- Global error boundary in app layout
- Isolated error boundaries in individual pages
- Error logging with severity levels
- Development mode error details display
Pre-Launch Readiness: 100% (all critical items complete)
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Co-Authored-By: Claude <noreply@anthropic.com>
This commit implements comprehensive timezone and time format customization:
## Backend Changes
- Added timeFormat field ('12h' | '24h') to user preferences JSONB in user entity
- Timezone field already existed in user entity, now actively used
- Backend ready to accept timezone on registration
## Frontend Components (2 new)
- TimeZoneSelector: Dropdown with timezones grouped by region (Americas, Europe, Asia, Pacific, Africa)
* Auto-detect button to detect browser timezone
* Save functionality with success/error feedback
* Integrated into Settings > Preferences section
- TimeFormatSelector: Radio buttons to choose 12h vs 24h format
* Live preview showing current time in selected format
* Save functionality with user feedback
* Integrated into Settings > Preferences section
## Timezone Auto-Detection
- Register function now auto-detects user's timezone via Intl.DateTimeFormat()
- Detected timezone sent to backend during registration
- Timezone stored in user profile for persistent preference
## Enhanced useLocalizedDate Hook
- Added useAuth integration to access user timezone and timeFormat preferences
- Installed and integrated date-fns-tz for timezone conversion
- New format() function with timezone support via useTimezone option
- New formatTime() function respecting user's 12h/24h preference
- New formatDateTime() function combining date, time, and timezone
- All formatting now respects user's:
* Language (existing: en, es, fr, pt-BR, zh-CN)
* Timezone (user-selected or auto-detected)
* Time format (12h with AM/PM or 24h)
## Settings Page Updates
- Added TimeZoneSelector to Preferences card
- Added TimeFormatSelector to Preferences card
- Visual separators (Dividers) between preference sections
- Settings now show: Language | Units | Timezone | Time Format
## Translations
- Enhanced settings.json with timezone and time format keys:
* preferences.timezone, autoDetectTimezone, timezoneUpdated
* preferences.12hour, 24hour, timeFormatUpdated
## User Experience Flow
1. User registers → timezone auto-detected and saved
2. User can change timezone in Settings > Preferences > Time Zone
3. User can change time format in Settings > Preferences > Time Format
4. All dates/times throughout app respect these preferences
5. Changes persist across sessions
Files changed: 10 files
New dependencies: date-fns-tz
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Co-Authored-By: Claude <noreply@anthropic.com>
Implemented comprehensive frontend localization infrastructure supporting
5 languages (English, Spanish, French, Portuguese, Chinese) with measurement
unit preferences (Metric/Imperial). This lays the foundation for international
user support.
**Core Infrastructure:**
- Installed i18next, react-i18next, i18next-browser-languagedetector
- Created I18nProvider component integrated into app layout
- Configured i18next with language detection and localStorage persistence
- Created 35 translation files (5 languages × 7 namespaces)
**Translation Namespaces:**
- common: App-wide UI elements, navigation, actions
- tracking: Activity tracking (feeding, sleep, diaper, milestones)
- ai: AI assistant chat interface
- auth: Authentication flows (login, signup, password reset)
- settings: Settings and preferences
- onboarding: Onboarding flow
- errors: Error messages and validation
**Custom Hooks:**
- useTranslation: Type-safe translation wrapper
- useLocale: Language and measurement system management
- useFormatting: Date, time, number, and unit formatting
**Measurement Unit Support:**
- Created unit conversion utilities (weight, height, temperature, volume)
- Metric: kg, cm, °C, ml
- Imperial: lb, in, °F, oz
- Bidirectional conversion functions
**UI Components:**
- LanguageSelector: Dropdown to change app language
- MeasurementUnitSelector: Toggle between Metric/Imperial
- Integrated both into Settings page Preferences section
**Next Steps (Remaining):**
- Add measurement preferences to backend user schema
- Create onboarding flow with language/measurement selection
- Apply translations to existing components (dashboard, tracking forms)
- Implement multi-language AI responses
- Add professional translations (currently using basic translations)
**File Highlights:**
- lib/i18n/config.ts: i18next configuration
- hooks/useFormatting.ts: Formatting utilities with locale support
- lib/utils/unitConversion.ts: Unit conversion logic
- components/settings/*Selector.tsx: Language and measurement selectors
- locales/*/: Translation files for 5 languages
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fix login endpoint to return families as array of objects instead of strings
- Update auth interface to match /auth/me endpoint structure
- Add silence detection to voice input (auto-stop after 1.5s)
- Add comprehensive status messages to voice modal (Listening, Understanding, Saving)
- Unify voice input flow to use MediaRecorder + backend for all platforms
- Add null checks to prevent tracking page crashes from invalid data
- Wait for auth completion before loading family data in HomePage
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Co-Authored-By: Claude <noreply@anthropic.com>
- Set continuous=true to keep listening through pauses
- Only process final results, ignore interim transcripts
- Add usesFallback check to route Web Speech API transcripts through classification
- Desktop now captures complete phrases before classification
- Add detailed logging for debugging recognition flow
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Co-Authored-By: Claude <noreply@anthropic.com>
- Remove temperature parameter from GPT-5-mini activity extraction (not supported)
- Add classification state to useVoiceInput hook to avoid duplicate API calls
- Prevent infinite loop in VoiceFloatingButton by tracking lastClassifiedTranscript
- Use classification from backend directly instead of making second request
- iOS Safari now successfully transcribes with Azure Whisper and classifies with GPT-5-mini
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Co-Authored-By: Claude <noreply@anthropic.com>
- Force MediaRecorder fallback for all iOS Safari devices
- Add iOS device detection to avoid Web Speech API on iOS
- Support multiple audio formats (webm, mp4, default) for compatibility
- Add comprehensive error logging throughout the flow
- Improve error messages with specific guidance for each error type
- Add console logging to track microphone permissions and recording state
- Better handling of getUserMedia permissions
This should help diagnose and fix the "Failed to recognize speech" error
by ensuring iOS Safari uses the MediaRecorder path with proper permissions.
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Co-Authored-By: Claude <noreply@anthropic.com>
Frontend changes:
- Add MediaRecorder fallback for iOS Safari (no Web Speech API support)
- Automatically detect browser capabilities and use appropriate method
- Add usesFallback flag to track which method is being used
- Update UI to show "Recording..." vs "Listening..." based on method
- Add iOS-specific indicator text
- Handle microphone permissions and errors properly
Backend changes:
- Update /api/v1/voice/transcribe to accept both audio files and text
- Support text-based classification (from Web Speech API)
- Support audio file transcription + classification (from MediaRecorder)
- Return unified response format with transcript and classification
How it works:
- Chrome/Edge: Uses Web Speech API for realtime transcription
- iOS Safari: Records audio with MediaRecorder, sends to server for transcription
- Fallback is transparent to the user with appropriate UI feedback
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Co-Authored-By: Claude <noreply@anthropic.com>
