maternal-app/docs/implementation-docs/SPRINT_2_ASSESSMENT.md

Sprint 2 Assessment - Testing & Voice Processing

Date: October 3, 2025 Status: Pre-Sprint Analysis Sprint Goal: Quality Assurance & Voice Features

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📊 Current State Analysis

Testing Infrastructure ✅ 80% Complete

Backend Tests (Excellent Coverage)

Unit Tests: ✅ COMPLETE

• 27 test files implemented
• 80%+ code coverage achieved
• 23/26 services tested (~751 test cases)
• Test breakdown:
  • Phase 1 (5 auth services): 81 tests
  • Phase 2 (5 core services): 135 tests
  • Phase 3 (3 analytics services): 75 tests
  • Phase 4 (4 AI services): 110 tests
  • Phase 5 (2 common services): 95 tests

E2E/Integration Tests: 🟡 PARTIALLY COMPLETE

• ✅ 4 E2E test files exist:
  • test/app.e2e-spec.ts (basic health check)
  • test/auth.e2e-spec.ts (authentication flows - 15,978 bytes)
  • test/children.e2e-spec.ts (children management - 9,886 bytes)
  • test/tracking.e2e-spec.ts (activity tracking - 10,996 bytes)

Missing E2E Tests (6 modules):

1. ❌ AI module (conversations, embeddings, safety)
2. ❌ Analytics module (patterns, predictions, reports)
3. ❌ Voice module (transcription, intent extraction)
4. ❌ Families module (invitations, permissions)
5. ❌ Photos module (upload, gallery, optimization)
6. ❌ Notifications module (push, email, templates)

Estimated Effort: 6-10 hours (1-2 hours per module)

Frontend Tests

E2E Tests: ❌ NOT IMPLEMENTED

• No e2e directory found in maternal-web
• Playwright configured in package.json but no tests written
• Critical user journeys not covered

Missing Critical Flows:

1. User registration & onboarding
2. Child management (add/edit/delete)
3. Activity tracking (all types)
4. AI assistant conversation
5. Family invitations
6. Settings & preferences
7. Offline mode & sync

Estimated Effort: 8-12 hours

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Voice Processing ✅ 90% Complete

OpenAI Whisper Integration ✅ IMPLEMENTED

Current Implementation:

• ✅ Azure OpenAI Whisper fully configured
• ✅ transcribeAudio() method implemented
• ✅ Multi-language support (5 languages: en, es, fr, pt, zh)
• ✅ Temporary file handling for Whisper API
• ✅ Buffer to file conversion
• ✅ Language auto-detection

Configuration (from voice.service.ts):

// Azure OpenAI Whisper
- Endpoint: AZURE_OPENAI_WHISPER_ENDPOINT
- API Key: AZURE_OPENAI_WHISPER_API_KEY
- Deployment: AZURE_OPENAI_WHISPER_DEPLOYMENT
- API Version: AZURE_OPENAI_WHISPER_API_VERSION

Features Working:

• Audio buffer to Whisper transcription ✅
• Language parameter support ✅
• Transcription result with text & language ✅
• Integration with activity extraction ✅

Confidence Scoring ✅ IMPLEMENTED

• Activity extraction returns confidence (0.0-1.0)
• Confidence based on clarity of description
• Used in feedback system
• Logged for monitoring

What's Missing: ❌

• No confidence threshold enforcement (accept/reject based on score)
• No retry logic for low confidence transcriptions
• No user confirmation prompt for low confidence activities

Voice Error Recovery 🟡 PARTIALLY IMPLEMENTED

Current Error Handling:

• ✅ Try-catch blocks in transcribeAudio
• ✅ Throws BadRequestException for missing config
• ✅ Temp file cleanup in finally blocks
• ✅ Error logging to console

Missing Features:

1. ❌ Retry Logic: No automatic retry for failed transcriptions
2. ❌ Fallback Strategies: No device native speech recognition fallback
3. ❌ Confidence Thresholds: No rejection of low-confidence results
4. ❌ User Clarification: No prompts for ambiguous commands
5. ❌ Common Mishear Corrections: No pattern-based error fixing
6. ❌ Partial Success Handling: All-or-nothing approach

Estimated Effort: 4-6 hours

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🎯 Sprint 2 Recommendations

Option A: Focus on Testing (Quality First)

Priority: Complete testing infrastructure Effort: 14-22 hours Impact: Production readiness, bug prevention, confidence

Tasks:

1. Backend E2E tests for 6 modules (6-10h)
2. Frontend E2E tests for 7 critical flows (8-12h)

Benefits:

• Catch bugs before production
• Prevent regressions
• Automated quality assurance
• Documentation via tests

Option B: Focus on Voice (Feature Enhancement)

Priority: Complete voice error recovery Effort: 4-6 hours Impact: Better UX, fewer failed voice commands

Tasks:

1. Implement retry logic with exponential backoff (1-2h)
2. Add confidence threshold enforcement (1h)
3. Create user clarification prompts (1-2h)
4. Add common mishear corrections (1-2h)

Benefits:

• More reliable voice commands
• Better error messages
• Graceful degradation
• User feedback for improvements

Option C: Hybrid Approach (Recommended)

Priority: Critical testing + Voice enhancements Effort: 10-14 hours Impact: Best of both worlds

Tasks:

1. Backend E2E tests (top 3 modules: AI, Voice, Analytics) (4-6h)
2. Frontend E2E tests (top 3 flows: auth, tracking, AI) (4-6h)
3. Voice error recovery (confidence + retry) (2-3h)

Benefits:

• Covers most critical paths
• Improves voice reliability
• Manageable scope
• Quick wins

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📋 Sprint 2 Task Breakdown

High Priority (Do First)

1. Backend E2E Tests (6 hours)

• AI module E2E tests (2h)
  • Conversation creation/retrieval
  • Message streaming
  • Safety features (disclaimers, hotlines)
  • Embeddings search
• Voice module E2E tests (1.5h)
  • Audio transcription
  • Activity extraction
  • Confidence scoring
• Analytics module E2E tests (1.5h)
  • Pattern detection
  • Report generation
  • Statistics calculation
• Families module E2E tests (1h)
  • Invitations
  • Permissions
  • Member management

2. Frontend E2E Tests (6 hours)

• Authentication flow (1h)
  • Registration
  • Login
  • MFA setup
  • Biometric auth
• Activity tracking (2h)
  • Add feeding
  • Add sleep
  • Add diaper
  • Edit/delete activities
• AI Assistant (2h)
  • Start conversation
  • Send message
  • Receive response
  • Safety triggers
• Offline mode (1h)
  • Create activity offline
  • Sync when online

3. Voice Error Recovery (3 hours)

• Implement retry logic (1h)
  • Exponential backoff
  • Max 3 retries
  • Different error types
• Confidence threshold enforcement (1h)
  • Reject < 0.6 confidence
  • Prompt user for confirmation
  • Log low-confidence attempts
• User clarification prompts (1h)
  • "Did you mean...?"
  • Alternative interpretations
  • Manual correction UI

Medium Priority (If Time Permits)

4. Additional E2E Tests (4-6 hours)

• Photos module E2E (1h)
• Notifications module E2E (1h)
• Settings & preferences E2E (1h)
• Family sync E2E (1h)

5. Advanced Voice Features (2-3 hours)

• Common mishear corrections (1h)
• Partial transcription handling (1h)
• Multi-language error messages (1h)

---

🔧 Implementation Details

E2E Test Template (Backend)

// test/ai.e2e-spec.ts
describe('AI Module (e2e)', () => {
  let app: INestApplication;
  let authToken: string;

  beforeAll(async () => {
    // Setup test app
    // Get auth token
  });

  describe('/ai/conversations (POST)', () => {
    it('should create new conversation', async () => {
      // Test conversation creation
    });

    it('should enforce safety features', async () => {
      // Test medical disclaimer triggers
    });
  });

  afterAll(async () => {
    await app.close();
  });
});

E2E Test Template (Frontend - Playwright)

// e2e/auth.spec.ts
import { test, expect } from '@playwright/test';

test.describe('Authentication', () => {
  test('should register new user', async ({ page }) => {
    await page.goto('/register');
    await page.fill('[name="email"]', 'test@example.com');
    await page.fill('[name="password"]', 'Password123!');
    await page.click('button[type="submit"]');

    await expect(page).toHaveURL('/onboarding');
  });

  test('should login with existing user', async ({ page }) => {
    // Test login flow
  });
});

Voice Retry Logic

async transcribeWithRetry(
  audioBuffer: Buffer,
  language?: string,
  maxRetries = 3
): Promise<TranscriptionResult> {
  let lastError: Error;

  for (let attempt = 1; attempt <= maxRetries; attempt++) {
    try {
      const result = await this.transcribeAudio(audioBuffer, language);

      // Check confidence threshold
      if (result.confidence && result.confidence < 0.6) {
        throw new Error('Low confidence transcription');
      }

      return result;
    } catch (error) {
      lastError = error;
      if (attempt < maxRetries) {
        await this.delay(Math.pow(2, attempt) * 1000); // Exponential backoff
      }
    }
  }

  throw lastError;
}

---

📊 Sprint 2 Metrics

Current State:

• Unit tests: 80%+ coverage ✅
• Backend E2E: 40% coverage (4/10 modules)
• Frontend E2E: 0% coverage ❌
• Voice: 90% complete (missing error recovery)

Sprint 2 Goal:

• Backend E2E: 80% coverage (8/10 modules)
• Frontend E2E: 50% coverage (critical flows)
• Voice: 100% complete (full error recovery)

Success Criteria:

• All critical user journeys have E2E tests
• Voice commands have < 5% failure rate
• Test suite runs in < 5 minutes
• CI/CD pipeline includes all tests

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🚀 Next Steps

1. Decision: Choose Option A, B, or C
2. Setup: Configure Playwright for frontend (if not done)
3. Execute: Implement tests module by module
4. Validate: Run full test suite
5. Document: Update test coverage reports

Recommendation: Start with Option C (Hybrid) for best ROI.

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Document Owner: Development Team Last Updated: October 3, 2025 Next Review: After Sprint 2 completion