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maternal-app/maternal-web
Andrei 5cc00b2876
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feat: Implement AI streaming responses with SSE and deployment infrastructure
This commit adds comprehensive AI response streaming and critical deployment features:

## AI Streaming Implementation
- **Backend StreamingService**: Token-by-token Azure OpenAI streaming (163 lines)
  - SSE endpoint at POST /api/v1/ai/chat/stream
  - Buffer management for incomplete SSE events
  - Stream callback architecture with chunk types (token, done, error)
- **Frontend useStreamingChat Hook**: Fetch API with ReadableStream (127 lines)
  - Token accumulation with state management
  - Error handling and completion callbacks
- **UI Integration**: Streaming message bubble with animated blinking cursor
  - Auto-scroll as tokens arrive
  - Loading indicator while waiting for first token
  - Seamless transition from streaming to completed message
- **Safety Integration**: All safety checks preserved
  - Rate limiting and input sanitization
  - Context building reused from chat() method

## Deployment Infrastructure (Previous Session)
- **Environment Configuration System**:
  - .env.example with 140+ configuration options
  - .env.staging and .env.production templates
  - Typed configuration service (environment.config.ts, 200 lines)
  - Environment-specific settings for DB, Redis, backups, AI
- **Secret Management**:
  - Provider abstraction for AWS Secrets Manager, HashiCorp Vault, env vars
  - 5-minute caching with automatic refresh (secrets.service.ts, 189 lines)
  - Batch secret retrieval and validation
- **Database Backup System**:
  - Automated PostgreSQL/MongoDB backups with cron scheduling
  - pg_dump + gzip compression, 30-day retention
  - S3 upload integration (backup.service.ts, 306 lines)
  - Admin endpoints for manual operations
  - Comprehensive documentation (BACKUP_STRATEGY.md, 343 lines)
- **Health Check Monitoring**:
  - Kubernetes-ready health probes (liveness/readiness/startup)
  - Custom health indicators for Redis, MongoDB, MinIO, Azure OpenAI
  - Response time tracking (health.controller.ts, 108 lines)

## Files Modified
- maternal-web/components/features/ai-chat/AIChatInterface.tsx
- maternal-app/maternal-app-backend/src/modules/ai/ai.service.ts
- maternal-app/maternal-app-backend/src/modules/ai/ai.module.ts
- docs/implementation-gaps.md (updated feature counts: 62/128 complete, 48%)

## Files Created
- maternal-web/hooks/useStreamingChat.ts

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-03 22:35:31 +00:00
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This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.