SymptomJournal v1.0.5 — Daily Check-In Reminders & UI Refinements

SymptomJournal v1.0.5

This release stabilizes native daily check-in notifications for Android builds, refines the patient settings experience, and polishes the project's academic documentation.

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What's New & Improved

Native Daily Check-In Reminders

• Persistent Alarm Scheduling: Daily check-in reminders now schedule cleanly through Android notification channels, surviving device sleep and app restarts.
• Production Settings Screen: Streamlined the Notifications settings card by removing temporary testing controls, leaving a clean time picker for daily reminders.

Bug Fixes & Stability

• Timeline Entry Deletion: Resolved an issue where removing or deleting custom triggers on the Timeline screen caused an unexpected runtime error.
• Notification Permissions Flow: Improved initial notification permission request handling and error alerts on physical Android devices.

Documentation & Identity

• Version Bump: Synchronized application manifest and package configuration to v1.0.5.
• Professional Acknowledgements: Formatted academic credits and acknowledged open-source tools and infrastructure (Expo, Supabase, FastAPI, NVIDIA NIM, and Lucide).
• Polished Presentation: Streamlined README layout for publication and academic submission.

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Assets & Downloads

• Android APK: Download the standalone APK asset attached below to install on physical Android devices.
• iOS Simulator: Available via the EAS preview simulator artifact in the project documentation.

SymptomJournal v1.0.4 - Android Preview APK

SymptomJournal v1.0.4 — Supabase Integration & Stability Release

Version v1.0.4 (Build 44) brings full database integration for Common Conditions and In-App Notifications, significant gesture and usability improvements to the logging slider, and enhanced AI and API resilience.

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What's New

• ** Supabase Relational Tables & RLS Migration**

  • public.common_conditions: Users can now record and persist pre-existing medical conditions (e.g. Migraine, IBS, Asthma) directly in Supabase, which dynamically feeds into the clinical Doctor Summary.
  • public.notifications: Added a dedicated in-app notification center. Users can view scheduled check-in reminders, AI pattern alerts, and mark them as read or dismiss them.
  • Complete SQL migration script provided in docs/supabase_schema.sql with full Row-Level Security (RLS) policies.

• Interactive Notification Center & Header Badge

  • Added a notification bell icon with a real-time unread counter badge in the Home dashboard header.
  • Slide-up notification sheet allowing users to review alerts, mark items as read, or clear dismissed notices.
  • Automatic seeding of friendly initial check-in prompts for new accounts.

• ** Custom Choice Deletion**

  • Added instant delete buttons with confirmation prompts for custom body areas and custom triggers on the Log a Symptom screen.

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Fixes & Ergonomics

• ** Severity Slider Jump Bug Resolved**

  • Re-engineered the 1–10 pain severity slider pan responder using screen-level pageX tracking and layout offset measurement.
  • Added a dead-zone filter so the slider never jumps wildly upon touch-down and glides smoothly across the gradient track.

• ** 422 Payload Sanitization for Custom Triggers**

  • Mapped custom triggers to standard clinical payload structures (trigger_type: 'other') with custom label preservation.
  • Added detailed human-readable validation error reporting in Alert dialogs.

• ** Relaxed Rate Limiting & Resilient AI Fallback**

  • Relaxed FastAPI rate limiting across endpoints (/patterns: 120/hr, /summary: 60/hr, /log: 120/hr) to prevent 429 lockouts during standard usage and testing.
  • Added deterministic fallback logic in ai_service.py to ensure pattern insights remain available even if upstream LLM providers hit temporary quotas.

• ** UI & Onboarding Polish**

  • Replaced onboarding illustrations with Lucide icons matching brand colors.
  • Added "View Onboarding Tour" replay options in Settings and Auth screens.
  • Clinical doctor and clinic fields made explicitly optional with clean defaults.

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Automated Testing & Verification

• Frontend: 8/8 suites passing (61/61 automated tests passed in Jest).
• Backend: 4/4 suites passing (49/49 automated tests passed in Pytest).
• Architecture: React Native (Expo SDK 57) / FastAPI / Supabase PostgreSQL / NVIDIA Llama-3.2.

SymptomJournal v1.0.3 - Android Preview APK

SymptomJournal v1.0.3

What's New

• Comprehensive Dark Mode: Seamless dark theme experience across every tab and sub-screen with curated earthy tones.
• Adjustable Text Sizing: Small, medium, and large font preferences for improved readability and accessibility.
• Clinic-Ready PDF Summary: Beautiful, high-contrast appointment reports formatted with physician review lines, recent log tables, and trigger correlations.
• Editable Clinical Profile: Easily update your attending doctor and existing medical conditions on your profile.
• Timeline Notes Display: Log notes and qualitative mood entries are now visible directly on timeline cards.
• Smooth Severity Slider: Drag and touch gestures for granular 1–10 symptom severity logging.
• Lucide Icons: Replaced generic emojis across all pills and screens with crisp, modern Lucide icons.
• 100% Backend Test Coverage: Complete test suite for analysis, auth, and symptoms routers (49/49 passing).

SymptomJournal v1.0.2 - Android Preview APK

What's New in v1.0.2

This release incorporates feedback from peer usability testing to streamline the symptom logging experience and improve on-screen ergonomics on mobile devices.

Key Enhancements & New Features

• Multi-Select Symptom Categories:
  • Users can now select multiple categories (e.g., Pain + Fatigue) for a single entry.
  • Added active checkmark badges and distinct category accent coloring to clearly identify selections.
• Multi-Select Body Areas:
  • Body area selection now supports multiple areas (e.g., Head + Neck) with active ✓ indicators.
• Smart Keyboard Auto-Scroll on Notes Focus:
  • Integrated dynamic keyboard height detection with KeyboardAvoidingView.
  • Tapping the Notes input smoothly scrolls the view up so the input field and the "Log Symptom" button are never obscured by the virtual keyboard.
• Multi-Category Timeline Support:
  • The Timeline view now detects all logged categories, displaying multiple colored category badges on the entry card.
  • Category filtering on the Timeline now correctly matches logs with multiple categories.

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Automated Test & Verification Status

• Frontend: 54 / 54 Jest tests passing (94.7% statement coverage)
• Backend: 40 / 40 Pytest tests passing (77% statement coverage)
• API & Database: Full end-to-end compatibility with FastAPI and Supabase PostgreSQL.

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Installation & Download

• Android APK: Download SymptomJournal-v1.0.2.apk below.
• Direct Build Artifact Link: Download APK from EAS
• Requirements: Android 8.0+ (ARM64 / x86_64 compatible).

SymptomJournal v1.0.1 - Android Preview APK

What's Changed in v1.0.1

Brand Identity & Visual Assets

• New App Icon: High-resolution vector brand icon featuring the calm Sage Green depth gradient (#7B9E87), warm-white Droplet emblem, and Terracotta accent dot (#C4714F).
• Native Android Adaptive Icon: Perfectly balanced within the 66% safe zone on solid Sage background.
• Brand Splash Screen: Replaced default Expo blue background with the app's signature warm canvas cream (#F6F0E8), featuring the DM Serif Display title and tagline.
• Launch Screen Polish: Seamless brand transition during startup session verification in index.tsx.

Authentication Streamlining

• Commented out external Apple and Google OAuth buttons pending provider configuration; users can sign in directly with email/password or proceed with 1-click Guest Access.

Automated Test Coverage

• Frontend: 54 passing Jest tests across 7 suites (94.6% coverage).
• Backend: 40 passing pytest tests (77% coverage).
• E2E: Live cloud healthcheck script verified.

Download APK

Download the installable Android build below (SymptomJournal-v1.0.1.apk).

SymptomJournal v1.0.0 - Android Preview APK

SymptomJournal v1.0.0 (Android Preview)

Healthcare AI Application powered by React Native, FastAPI, Supabase, and NVIDIA Llama-3.2.

Features in this build:

• Complete symptom logging with 3x2 category grid & severity sliders
• Interactive symptom timeline & calendar history
• Shimmer skeleton loaders for smooth loading states
• AI pattern recognition & Clinical Doctor Summary PDF export
• AI Medication & Health Assistant chat
• Persistent session authentication (stays logged in across app restarts)