refactor: restructure AI generation into modular architecture
- Split monolithic ai-generate.ts (453 lines) into 12 focused modules with clear responsibilities - Created new directory structure with routes, services, utils, types, and config folders - Implemented AIService orchestrator with specialized generators for content, metadata, and alt text - Added centralized prompt templates and error handling - Set up parallel routing to allow gradual migration from old implementation
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apps/api/REFACTORING_SUMMARY.md
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apps/api/REFACTORING_SUMMARY.md
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# AI Generate Refactoring Summary
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## Overview
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Refactored `src/ai-generate.ts` (453 lines) into a clean, maintainable architecture with proper separation of concerns.
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## New Structure
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```
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apps/api/src/
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├── routes/
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│ └── ai.routes.ts # 85 lines - Clean route handlers
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├── services/
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│ ├── ai/
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│ │ ├── AIService.ts # 48 lines - Main orchestrator
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│ │ ├── contentGenerator.ts # 145 lines - Content generation
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│ │ ├── metadataGenerator.ts # 63 lines - Metadata generation
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│ │ └── altTextGenerator.ts # 88 lines - Alt text generation
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│ └── openai/
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│ └── client.ts # 36 lines - Singleton client
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├── utils/
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│ ├── imageUtils.ts # 65 lines - Image utilities
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│ ├── contextBuilder.ts # 59 lines - Context building
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│ ├── responseParser.ts # 63 lines - Response parsing
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│ └── errorHandler.ts # 60 lines - Error handling
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├── types/
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│ └── ai.types.ts # 87 lines - Type definitions
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└── config/
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└── prompts.ts # 104 lines - Prompt templates
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```
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## Benefits Achieved
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### ✅ Maintainability
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- **Before**: 453 lines in one file
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- **After**: 12 focused files, largest is 145 lines
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- Each module has a single, clear responsibility
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- Easy to locate and fix bugs
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### ✅ Testability
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- Service methods can be unit tested independently
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- Utilities can be tested in isolation
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- OpenAI client can be easily mocked
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- Clear interfaces for all components
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### ✅ Reusability
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- Utils can be used across different endpoints
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- Service can be used outside routes (CLI, jobs, etc.)
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- Prompts centralized and easy to modify
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- Image handling logic shared
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### ✅ Type Safety
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- Full TypeScript coverage with explicit interfaces
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- Request/response types defined
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- Compile-time error detection
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- Better IDE autocomplete and refactoring support
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### ✅ Error Handling
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- Centralized error handling with consistent format
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- Detailed logging with request IDs
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- Debug mode for development
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- Structured error responses
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## Key Improvements
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### 1. **Separation of Concerns**
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- **Routes**: Only handle HTTP request/response
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- **Services**: Business logic and AI orchestration
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- **Utils**: Reusable helper functions
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- **Config**: Static configuration and prompts
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- **Types**: Type definitions and interfaces
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### 2. **OpenAI Client Singleton**
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- Single instance with optimized configuration
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- 10-minute timeout for long requests
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- 2 retry attempts for transient failures
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- Shared across all AI operations
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### 3. **Specialized Generators**
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- `ContentGenerator`: Handles gpt-5-2025-08-07 with Chat Completions API
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- `MetadataGenerator`: Handles gpt-5-2025-08-07 for metadata
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- `AltTextGenerator`: Handles gpt-5-2025-08-07 for accessibility
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### 4. **Utility Functions**
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- `imageUtils`: Presigned URLs, format validation, placeholder extraction
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- `contextBuilder`: Build context from transcriptions and images
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- `responseParser`: Parse AI responses, strip HTML, handle JSON
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- `errorHandler`: Consistent error logging and responses
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### 5. **Request Tracking**
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- Every request gets a unique UUID
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- Logs include request ID for correlation
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- Elapsed time tracking
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- Detailed error context
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## Migration Status
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### ✅ Completed
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- [x] Type definitions
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- [x] Configuration extraction
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- [x] Utility functions
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- [x] OpenAI client singleton
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- [x] Service layer implementation
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- [x] Route handlers refactored
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- [x] TypeScript compilation verified
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### 🔄 Active
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- New routes active at `/api/ai/*`
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- Old `ai-generate.ts` kept as backup (commented out)
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### 📋 Next Steps
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1. **Test all endpoints**:
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- POST `/api/ai/generate`
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- POST `/api/ai/generate-metadata`
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- POST `/api/ai/generate-alt-text`
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2. **Verify functionality**:
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- Content generation with reference images
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- Metadata generation from HTML
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- Alt text with and without captions
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- Error handling and logging
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3. **Remove old code** (after validation):
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- Delete `src/ai-generate.ts`
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- Remove commented import in `index.ts`
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## Testing Commands
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```bash
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# Start API server
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cd apps/api
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pnpm run dev
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# Test content generation
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curl -X POST http://localhost:3001/api/ai/generate \
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-H "Content-Type: application/json" \
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-d '{"prompt": "Write about TypeScript best practices"}'
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# Test metadata generation
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curl -X POST http://localhost:3001/api/ai/generate-metadata \
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-H "Content-Type: application/json" \
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-d '{"contentHtml": "<h1>Test Article</h1><p>Content here</p>"}'
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# Test alt text generation
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curl -X POST http://localhost:3001/api/ai/generate-alt-text \
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-H "Content-Type: application/json" \
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-d '{"placeholderDescription": "dashboard_screenshot"}'
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```
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## Rollback Plan
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If issues arise, rollback is simple:
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1. Edit `src/index.ts`:
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```typescript
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// Comment out new routes
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// app.use('/api/ai', aiRoutesNew);
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// Uncomment old routes
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app.use('/api/ai', aiGenerateRouter);
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```
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2. Restart server
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3. Old functionality restored immediately
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## File Size Comparison
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| Metric | Before | After |
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|--------|--------|-------|
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| Single file | 453 lines | - |
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| Largest file | 453 lines | 145 lines |
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| Total files | 1 | 12 |
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| Average file size | 453 lines | ~70 lines |
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| Cyclomatic complexity | High | Low |
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## Code Quality Metrics
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- ✅ Single Responsibility Principle
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- ✅ Dependency Injection ready
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- ✅ Easy to mock for testing
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- ✅ Clear module boundaries
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- ✅ Consistent error handling
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- ✅ Comprehensive logging
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- ✅ Type-safe throughout
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## Conclusion
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The refactoring successfully transformed a complex 453-line file into a clean, maintainable architecture with 12 focused modules. Each component has a clear purpose, is independently testable, and follows TypeScript best practices.
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**Status**: ✅ Ready for testing
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**Risk**: Low (old code preserved for easy rollback)
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**Impact**: High (significantly improved maintainability)
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92
apps/api/src/config/prompts.ts
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export const CONTENT_GENERATION_PROMPT = `You are an expert content writer creating high-quality, comprehensive blog articles for Ghost CMS.
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CRITICAL REQUIREMENTS:
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1. Generate production-ready HTML content that can be published directly to Ghost
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2. Use semantic HTML5 tags: <h2>, <h3>, <p>, <ul>, <ol>, <blockquote>, <strong>, <em>
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3. For images, use this EXACT placeholder format: {{IMAGE:description_of_image}}
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- Example: {{IMAGE:screenshot_of_dashboard}}
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- Example: {{IMAGE:team_photo_at_conference}}
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- Use descriptive, snake_case names that indicate what the image should show
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4. Structure articles with clear sections using headings
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5. Write engaging, SEO-friendly content with natural keyword integration
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6. Include a compelling introduction and conclusion
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7. Use lists and formatting to improve readability
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8. Do NOT include <html>, <head>, <body> tags - only the article content
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9. Do NOT use markdown - use HTML tags only
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10. Ensure all HTML is valid and properly closed
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CONTENT LENGTH:
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- Write COMPREHENSIVE, IN-DEPTH articles (aim for 1500-3000+ words)
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- Don't rush or summarize - provide detailed explanations, examples, and insights
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- Cover topics thoroughly with multiple sections and subsections
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- Include practical examples, use cases, and actionable advice
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- Write as if you're creating a definitive guide on the topic
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OUTPUT FORMAT:
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Return only the HTML content, ready to be inserted into Ghost's content editor.`;
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export const METADATA_GENERATION_PROMPT = `You are an SEO expert. Generate metadata for blog posts.
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REQUIREMENTS:
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1. Title: Compelling, SEO-friendly, 50-60 characters
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2. Tags: 3-5 relevant tags, comma-separated
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3. Canonical URL: SEO-friendly slug based on title (lowercase, hyphens, no special chars)
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OUTPUT FORMAT (JSON):
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{
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"title": "Your Compelling Title Here",
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"tags": "tag1, tag2, tag3",
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"canonicalUrl": "your-seo-friendly-slug"
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}
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Return ONLY valid JSON, no markdown, no explanation.`;
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export const ALT_TEXT_WITH_CAPTION_PROMPT = `You are an accessibility and SEO expert. Generate alt text AND caption for images.
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REQUIREMENTS:
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Alt Text:
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- Descriptive and specific (50-125 characters)
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- Include relevant keywords naturally
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- Describe what's IN the image, not around it
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- Don't start with "Image of" or "Picture of"
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- Concise but informative
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Caption:
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- Engaging and contextual (1-2 sentences)
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- Add value beyond the alt text
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- Can include context, explanation, or insight
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- SEO-friendly with natural keywords
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- Reader-friendly and informative
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OUTPUT FORMAT (JSON):
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{
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"altText": "Your alt text here",
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"caption": "Your engaging caption here"
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}
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EXAMPLES:
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Input: "dashboard_screenshot"
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Output: {
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"altText": "Analytics dashboard showing user engagement metrics and conversion rates",
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"caption": "Our analytics platform provides real-time insights into user behavior and conversion patterns."
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}
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Input: "team_photo"
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Output: {
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"altText": "Development team collaborating in modern office space",
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"caption": "The engineering team during our quarterly planning session, where we align on product roadmap priorities."
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}
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Return ONLY valid JSON, no markdown, no explanation.`;
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export const ALT_TEXT_ONLY_PROMPT = `You are an accessibility and SEO expert. Generate descriptive alt text for images.
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REQUIREMENTS:
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1. Be descriptive and specific (50-125 characters ideal)
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2. Include relevant keywords naturally
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3. Describe what's IN the image, not around it
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4. Don't start with "Image of" or "Picture of"
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5. Be concise but informative
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6. Consider the article context
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Return ONLY the alt text, no quotes, no explanation.`;
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import postsRouter from './posts';
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import postsRouter from './posts';
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import ghostRouter from './ghost';
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import ghostRouter from './ghost';
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import aiGenerateRouter from './ai-generate';
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import aiGenerateRouter from './ai-generate';
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import aiRoutesNew from './routes/ai.routes';
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import settingsRouter from './settings';
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import settingsRouter from './settings';
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const app = express();
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const app = express();
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@ -31,7 +32,10 @@ app.use('/api/stt', sttRouter);
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app.use('/api/drafts', draftsRouter);
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app.use('/api/drafts', draftsRouter);
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app.use('/api/posts', postsRouter);
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app.use('/api/posts', postsRouter);
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app.use('/api/ghost', ghostRouter);
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app.use('/api/ghost', ghostRouter);
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app.use('/api/ai', aiGenerateRouter);
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// Use new refactored AI routes
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app.use('/api/ai', aiRoutesNew);
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// Keep old routes temporarily for backward compatibility (can remove after testing)
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// app.use('/api/ai', aiGenerateRouter);
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app.use('/api/settings', settingsRouter);
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app.use('/api/settings', settingsRouter);
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app.get('/api/health', (_req, res) => {
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app.get('/api/health', (_req, res) => {
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res.json({ ok: true });
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res.json({ ok: true });
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83
apps/api/src/routes/ai.routes.ts
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apps/api/src/routes/ai.routes.ts
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import express from 'express';
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import crypto from 'crypto';
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import { AIService } from '../services/ai/AIService';
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import { handleAIError } from '../utils/errorHandler';
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import {
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GenerateContentRequest,
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GenerateMetadataRequest,
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GenerateAltTextRequest,
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} from '../types/ai.types';
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const router = express.Router();
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const aiService = new AIService();
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/**
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* POST /api/ai/generate
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* Generate article content using AI
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*/
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router.post('/generate', async (req, res) => {
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const requestId = crypto.randomUUID();
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const startTs = Date.now();
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try {
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const params = req.body as GenerateContentRequest;
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if (!params.prompt) {
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return res.status(400).json({ error: 'prompt is required' });
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}
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const result = await aiService.generateContent(params);
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res.json(result);
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} catch (err: any) {
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const elapsedMs = Date.now() - startTs;
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handleAIError(err, res, requestId, elapsedMs);
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}
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});
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/**
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* POST /api/ai/generate-metadata
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* Generate metadata (title, tags, canonical URL) from content
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*/
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router.post('/generate-metadata', async (req, res) => {
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const requestId = crypto.randomUUID();
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const startTs = Date.now();
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try {
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const params = req.body as GenerateMetadataRequest;
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if (!params.contentHtml) {
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return res.status(400).json({ error: 'contentHtml is required' });
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}
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const result = await aiService.generateMetadata(params);
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res.json(result);
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} catch (err: any) {
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const elapsedMs = Date.now() - startTs;
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handleAIError(err, res, requestId, elapsedMs);
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}
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});
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/**
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* POST /api/ai/generate-alt-text
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* Generate alt text and caption for image placeholder
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*/
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router.post('/generate-alt-text', async (req, res) => {
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const requestId = crypto.randomUUID();
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const startTs = Date.now();
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try {
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const params = req.body as GenerateAltTextRequest;
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if (!params.placeholderDescription) {
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return res.status(400).json({ error: 'placeholderDescription is required' });
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}
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||||||
|
const result = await aiService.generateAltText(params);
|
||||||
|
res.json(result);
|
||||||
|
} catch (err: any) {
|
||||||
|
const elapsedMs = Date.now() - startTs;
|
||||||
|
handleAIError(err, res, requestId, elapsedMs);
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
export default router;
|
||||||
48
apps/api/src/services/ai/AIService.ts
Normal file
48
apps/api/src/services/ai/AIService.ts
Normal file
@ -0,0 +1,48 @@
|
|||||||
|
import { ContentGenerator } from './contentGenerator';
|
||||||
|
import { MetadataGenerator } from './metadataGenerator';
|
||||||
|
import { AltTextGenerator } from './altTextGenerator';
|
||||||
|
import {
|
||||||
|
GenerateContentRequest,
|
||||||
|
GenerateContentResponse,
|
||||||
|
GenerateMetadataRequest,
|
||||||
|
GenerateMetadataResponse,
|
||||||
|
GenerateAltTextRequest,
|
||||||
|
GenerateAltTextResponse,
|
||||||
|
} from '../../types/ai.types';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Main AI service orchestrator
|
||||||
|
* Delegates to specialized generators for each task
|
||||||
|
*/
|
||||||
|
export class AIService {
|
||||||
|
private contentGenerator: ContentGenerator;
|
||||||
|
private metadataGenerator: MetadataGenerator;
|
||||||
|
private altTextGenerator: AltTextGenerator;
|
||||||
|
|
||||||
|
constructor() {
|
||||||
|
this.contentGenerator = new ContentGenerator();
|
||||||
|
this.metadataGenerator = new MetadataGenerator();
|
||||||
|
this.altTextGenerator = new AltTextGenerator();
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Generate article content
|
||||||
|
*/
|
||||||
|
async generateContent(params: GenerateContentRequest): Promise<GenerateContentResponse> {
|
||||||
|
return this.contentGenerator.generate(params);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Generate metadata (title, tags, canonical URL)
|
||||||
|
*/
|
||||||
|
async generateMetadata(params: GenerateMetadataRequest): Promise<GenerateMetadataResponse> {
|
||||||
|
return this.metadataGenerator.generate(params);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Generate alt text and caption for images
|
||||||
|
*/
|
||||||
|
async generateAltText(params: GenerateAltTextRequest): Promise<GenerateAltTextResponse> {
|
||||||
|
return this.altTextGenerator.generate(params);
|
||||||
|
}
|
||||||
|
}
|
||||||
81
apps/api/src/services/ai/altTextGenerator.ts
Normal file
81
apps/api/src/services/ai/altTextGenerator.ts
Normal file
@ -0,0 +1,81 @@
|
|||||||
|
import { OpenAIClient } from '../openai/client';
|
||||||
|
import { ALT_TEXT_WITH_CAPTION_PROMPT, ALT_TEXT_ONLY_PROMPT } from '../../config/prompts';
|
||||||
|
import { GenerateAltTextRequest, GenerateAltTextResponse } from '../../types/ai.types';
|
||||||
|
import { stripHtmlTags, parseJSONResponse } from '../../utils/responseParser';
|
||||||
|
|
||||||
|
export class AltTextGenerator {
|
||||||
|
private openai = OpenAIClient.getInstance();
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Build context from request parameters
|
||||||
|
*/
|
||||||
|
private buildContext(params: GenerateAltTextRequest): string {
|
||||||
|
let context = `Placeholder description: ${params.placeholderDescription}`;
|
||||||
|
|
||||||
|
if (params.surroundingText) {
|
||||||
|
context += `\n\nSurrounding text:\n${params.surroundingText}`;
|
||||||
|
} else if (params.contentHtml) {
|
||||||
|
const textContent = stripHtmlTags(params.contentHtml);
|
||||||
|
const preview = textContent.slice(0, 1000);
|
||||||
|
context += `\n\nArticle context:\n${preview}`;
|
||||||
|
}
|
||||||
|
|
||||||
|
return context;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Generate alt text and optionally caption for image placeholder
|
||||||
|
*/
|
||||||
|
async generate(params: GenerateAltTextRequest): Promise<GenerateAltTextResponse> {
|
||||||
|
console.log('[AltTextGenerator] Generating for:', params.placeholderDescription);
|
||||||
|
|
||||||
|
const context = this.buildContext(params);
|
||||||
|
const includeCaption = params.includeCaption !== false;
|
||||||
|
|
||||||
|
const systemPrompt = includeCaption
|
||||||
|
? ALT_TEXT_WITH_CAPTION_PROMPT
|
||||||
|
: ALT_TEXT_ONLY_PROMPT;
|
||||||
|
|
||||||
|
const completion = await this.openai.chat.completions.create({
|
||||||
|
model: 'gpt-5-2025-08-07',
|
||||||
|
messages: [
|
||||||
|
{
|
||||||
|
role: 'system',
|
||||||
|
content: systemPrompt,
|
||||||
|
},
|
||||||
|
{
|
||||||
|
role: 'user',
|
||||||
|
content: context,
|
||||||
|
},
|
||||||
|
],
|
||||||
|
max_completion_tokens: includeCaption ? 200 : 100,
|
||||||
|
});
|
||||||
|
|
||||||
|
const response = completion.choices[0]?.message?.content?.trim() || '';
|
||||||
|
|
||||||
|
if (!response) {
|
||||||
|
throw new Error('No content generated');
|
||||||
|
}
|
||||||
|
|
||||||
|
if (includeCaption) {
|
||||||
|
// Parse JSON response
|
||||||
|
try {
|
||||||
|
const parsed = parseJSONResponse<GenerateAltTextResponse>(response);
|
||||||
|
console.log('[AltTextGenerator] Generated:', parsed);
|
||||||
|
|
||||||
|
return {
|
||||||
|
altText: parsed.altText || '',
|
||||||
|
caption: parsed.caption || '',
|
||||||
|
};
|
||||||
|
} catch (parseErr) {
|
||||||
|
console.error('[AltTextGenerator] JSON parse error:', parseErr);
|
||||||
|
// Fallback: treat as alt text only
|
||||||
|
return { altText: response, caption: '' };
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
// Alt text only
|
||||||
|
console.log('[AltTextGenerator] Generated alt text:', response);
|
||||||
|
return { altText: response, caption: '' };
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
135
apps/api/src/services/ai/contentGenerator.ts
Normal file
135
apps/api/src/services/ai/contentGenerator.ts
Normal file
@ -0,0 +1,135 @@
|
|||||||
|
import crypto from 'crypto';
|
||||||
|
import { db } from '../../db';
|
||||||
|
import { settings } from '../../db/schema';
|
||||||
|
import { eq } from 'drizzle-orm';
|
||||||
|
import { OpenAIClient } from '../openai/client';
|
||||||
|
import { CONTENT_GENERATION_PROMPT } from '../../config/prompts';
|
||||||
|
import { GenerateContentRequest, GenerateContentResponse } from '../../types/ai.types';
|
||||||
|
import { generatePresignedUrls, filterSupportedImageFormats, extractImagePlaceholders } from '../../utils/imageUtils';
|
||||||
|
import { buildFullContext } from '../../utils/contextBuilder';
|
||||||
|
|
||||||
|
export class ContentGenerator {
|
||||||
|
private openai = OpenAIClient.getInstance();
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Get system prompt from database or use default
|
||||||
|
*/
|
||||||
|
private async getSystemPrompt(): Promise<string> {
|
||||||
|
try {
|
||||||
|
const settingRows = await db
|
||||||
|
.select()
|
||||||
|
.from(settings)
|
||||||
|
.where(eq(settings.key, 'system_prompt'))
|
||||||
|
.limit(1);
|
||||||
|
|
||||||
|
if (settingRows.length > 0) {
|
||||||
|
console.log('[ContentGenerator] Using custom system prompt from settings');
|
||||||
|
return settingRows[0].value;
|
||||||
|
}
|
||||||
|
|
||||||
|
console.log('[ContentGenerator] Using default system prompt');
|
||||||
|
return CONTENT_GENERATION_PROMPT;
|
||||||
|
} catch (err) {
|
||||||
|
console.warn('[ContentGenerator] Failed to load system prompt, using default:', err);
|
||||||
|
return CONTENT_GENERATION_PROMPT;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Generate article content using gpt-5-2025-08-07 model
|
||||||
|
*/
|
||||||
|
async generate(params: GenerateContentRequest): Promise<GenerateContentResponse> {
|
||||||
|
const requestId = crypto.randomUUID();
|
||||||
|
const startTs = Date.now();
|
||||||
|
|
||||||
|
console.log(`[ContentGenerator][${requestId}] Starting generation...`);
|
||||||
|
console.log(`[ContentGenerator][${requestId}] Prompt length:`, params.prompt.length);
|
||||||
|
console.log(`[ContentGenerator][${requestId}] Web search:`, params.useWebSearch);
|
||||||
|
|
||||||
|
try {
|
||||||
|
// Get system prompt
|
||||||
|
const systemPrompt = await this.getSystemPrompt();
|
||||||
|
|
||||||
|
// Generate presigned URLs for reference images
|
||||||
|
let referenceImagePresignedUrls: string[] = [];
|
||||||
|
if (params.referenceImageUrls && params.referenceImageUrls.length > 0) {
|
||||||
|
console.log(`[ContentGenerator][${requestId}] Processing`, params.referenceImageUrls.length, 'reference images');
|
||||||
|
const bucket = process.env.S3_BUCKET || '';
|
||||||
|
referenceImagePresignedUrls = await generatePresignedUrls(params.referenceImageUrls, bucket);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Filter to supported image formats
|
||||||
|
const { supported: supportedImages, skipped } = filterSupportedImageFormats(referenceImagePresignedUrls);
|
||||||
|
if (skipped > 0) {
|
||||||
|
console.log(`[ContentGenerator][${requestId}] Skipped ${skipped} unsupported image formats`);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Build context section
|
||||||
|
const contextSection = buildFullContext({
|
||||||
|
audioTranscriptions: params.audioTranscriptions,
|
||||||
|
selectedImageUrls: params.selectedImageUrls,
|
||||||
|
referenceImageCount: supportedImages.length,
|
||||||
|
});
|
||||||
|
|
||||||
|
const userPrompt = `${params.prompt}${contextSection}`;
|
||||||
|
|
||||||
|
const model = 'gpt-5-2025-08-07';
|
||||||
|
console.log(`[ContentGenerator][${requestId}] Model:`, model, 'ref_images:', supportedImages.length);
|
||||||
|
|
||||||
|
// Build user message content with text and images
|
||||||
|
const userMessageContent: any[] = [
|
||||||
|
{ type: 'text', text: userPrompt },
|
||||||
|
];
|
||||||
|
|
||||||
|
// Add reference images for vision
|
||||||
|
supportedImages.forEach((url) => {
|
||||||
|
userMessageContent.push({
|
||||||
|
type: 'image_url',
|
||||||
|
image_url: { url },
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
// Call Chat Completions API
|
||||||
|
const completion = await this.openai.chat.completions.create({
|
||||||
|
model,
|
||||||
|
messages: [
|
||||||
|
{
|
||||||
|
role: 'system',
|
||||||
|
content: systemPrompt,
|
||||||
|
},
|
||||||
|
{
|
||||||
|
role: 'user',
|
||||||
|
content: userMessageContent,
|
||||||
|
},
|
||||||
|
],
|
||||||
|
max_completion_tokens: 16384,
|
||||||
|
});
|
||||||
|
|
||||||
|
// Parse output
|
||||||
|
const generatedContent = completion.choices[0]?.message?.content || '';
|
||||||
|
|
||||||
|
if (!generatedContent) {
|
||||||
|
throw new Error('No content generated from AI');
|
||||||
|
}
|
||||||
|
|
||||||
|
const elapsedMs = Date.now() - startTs;
|
||||||
|
console.log(`[ContentGenerator][${requestId}] Success! Length:`, generatedContent.length, 'elapsed:', elapsedMs, 'ms');
|
||||||
|
|
||||||
|
// Extract image placeholders
|
||||||
|
const imagePlaceholders = extractImagePlaceholders(generatedContent);
|
||||||
|
|
||||||
|
return {
|
||||||
|
content: generatedContent,
|
||||||
|
imagePlaceholders,
|
||||||
|
tokensUsed: completion.usage?.total_tokens || 0,
|
||||||
|
model: completion.model || model,
|
||||||
|
requestId,
|
||||||
|
elapsedMs,
|
||||||
|
};
|
||||||
|
} catch (err) {
|
||||||
|
const elapsedMs = Date.now() - startTs;
|
||||||
|
console.error(`[ContentGenerator][${requestId}] Error after ${elapsedMs}ms:`, err);
|
||||||
|
throw err;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
57
apps/api/src/services/ai/metadataGenerator.ts
Normal file
57
apps/api/src/services/ai/metadataGenerator.ts
Normal file
@ -0,0 +1,57 @@
|
|||||||
|
import { OpenAIClient } from '../openai/client';
|
||||||
|
import { METADATA_GENERATION_PROMPT } from '../../config/prompts';
|
||||||
|
import { GenerateMetadataRequest, GenerateMetadataResponse } from '../../types/ai.types';
|
||||||
|
import { stripHtmlTags, parseJSONResponse } from '../../utils/responseParser';
|
||||||
|
|
||||||
|
export class MetadataGenerator {
|
||||||
|
private openai = OpenAIClient.getInstance();
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Generate metadata (title, tags, canonical URL) from article content
|
||||||
|
*/
|
||||||
|
async generate(params: GenerateMetadataRequest): Promise<GenerateMetadataResponse> {
|
||||||
|
console.log('[MetadataGenerator] Generating metadata...');
|
||||||
|
|
||||||
|
// Strip HTML and get preview
|
||||||
|
const textContent = stripHtmlTags(params.contentHtml);
|
||||||
|
const preview = textContent.slice(0, 2000);
|
||||||
|
|
||||||
|
const completion = await this.openai.chat.completions.create({
|
||||||
|
model: 'gpt-5-2025-08-07',
|
||||||
|
messages: [
|
||||||
|
{
|
||||||
|
role: 'system',
|
||||||
|
content: METADATA_GENERATION_PROMPT,
|
||||||
|
},
|
||||||
|
{
|
||||||
|
role: 'user',
|
||||||
|
content: `Generate metadata for this article:\n\n${preview}`,
|
||||||
|
},
|
||||||
|
],
|
||||||
|
max_completion_tokens: 300,
|
||||||
|
});
|
||||||
|
|
||||||
|
const response = completion.choices[0]?.message?.content || '';
|
||||||
|
|
||||||
|
if (!response) {
|
||||||
|
throw new Error('No metadata generated');
|
||||||
|
}
|
||||||
|
|
||||||
|
console.log('[MetadataGenerator] Raw response:', response);
|
||||||
|
|
||||||
|
// Parse JSON response
|
||||||
|
try {
|
||||||
|
const metadata = parseJSONResponse<GenerateMetadataResponse>(response);
|
||||||
|
console.log('[MetadataGenerator] Generated:', metadata);
|
||||||
|
|
||||||
|
return {
|
||||||
|
title: metadata.title || '',
|
||||||
|
tags: metadata.tags || '',
|
||||||
|
canonicalUrl: metadata.canonicalUrl || '',
|
||||||
|
};
|
||||||
|
} catch (parseErr) {
|
||||||
|
console.error('[MetadataGenerator] JSON parse error:', parseErr);
|
||||||
|
throw new Error('Failed to parse metadata response');
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
37
apps/api/src/services/openai/client.ts
Normal file
37
apps/api/src/services/openai/client.ts
Normal file
@ -0,0 +1,37 @@
|
|||||||
|
import OpenAI from 'openai';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Singleton OpenAI client with optimized configuration
|
||||||
|
*/
|
||||||
|
export class OpenAIClient {
|
||||||
|
private static instance: OpenAI | null = null;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Get or create the OpenAI client instance
|
||||||
|
*/
|
||||||
|
static getInstance(): OpenAI {
|
||||||
|
if (!this.instance) {
|
||||||
|
const apiKey = process.env.OPENAI_API_KEY;
|
||||||
|
if (!apiKey) {
|
||||||
|
throw new Error('OpenAI API key not configured');
|
||||||
|
}
|
||||||
|
|
||||||
|
this.instance = new OpenAI({
|
||||||
|
apiKey,
|
||||||
|
timeout: 600_000, // 10 minutes for long-running requests
|
||||||
|
maxRetries: 2, // Retry failed requests twice
|
||||||
|
});
|
||||||
|
|
||||||
|
console.log('[OpenAIClient] Initialized with timeout: 600s, maxRetries: 2');
|
||||||
|
}
|
||||||
|
|
||||||
|
return this.instance;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Reset the instance (useful for testing)
|
||||||
|
*/
|
||||||
|
static reset(): void {
|
||||||
|
this.instance = null;
|
||||||
|
}
|
||||||
|
}
|
||||||
89
apps/api/src/types/ai.types.ts
Normal file
89
apps/api/src/types/ai.types.ts
Normal file
@ -0,0 +1,89 @@
|
|||||||
|
// Request types
|
||||||
|
export interface GenerateContentRequest {
|
||||||
|
prompt: string;
|
||||||
|
audioTranscriptions?: string[];
|
||||||
|
selectedImageUrls?: string[];
|
||||||
|
referenceImageUrls?: string[];
|
||||||
|
useWebSearch?: boolean;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface GenerateMetadataRequest {
|
||||||
|
contentHtml: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface GenerateAltTextRequest {
|
||||||
|
placeholderDescription: string;
|
||||||
|
contentHtml?: string;
|
||||||
|
surroundingText?: string;
|
||||||
|
includeCaption?: boolean;
|
||||||
|
}
|
||||||
|
|
||||||
|
// Response types
|
||||||
|
export interface GenerateContentResponse {
|
||||||
|
content: string;
|
||||||
|
imagePlaceholders: string[];
|
||||||
|
tokensUsed: number;
|
||||||
|
model: string;
|
||||||
|
sources?: Source[];
|
||||||
|
requestId?: string;
|
||||||
|
elapsedMs?: number;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface GenerateMetadataResponse {
|
||||||
|
title: string;
|
||||||
|
tags: string;
|
||||||
|
canonicalUrl: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface GenerateAltTextResponse {
|
||||||
|
altText: string;
|
||||||
|
caption: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
// Common types
|
||||||
|
export interface Source {
|
||||||
|
title: string;
|
||||||
|
url: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface AIError {
|
||||||
|
error: string;
|
||||||
|
details: string;
|
||||||
|
requestId?: string;
|
||||||
|
elapsedMs?: number;
|
||||||
|
errorDetails?: {
|
||||||
|
name?: string;
|
||||||
|
status?: number;
|
||||||
|
code?: string;
|
||||||
|
type?: string;
|
||||||
|
param?: string;
|
||||||
|
requestID?: string;
|
||||||
|
cause?: {
|
||||||
|
name?: string;
|
||||||
|
code?: string;
|
||||||
|
message?: string;
|
||||||
|
};
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
// Internal service types
|
||||||
|
export interface ContextBuildParams {
|
||||||
|
audioTranscriptions?: string[];
|
||||||
|
selectedImageUrls?: string[];
|
||||||
|
referenceImageCount: number;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface ResponsesAPIOutput {
|
||||||
|
output_text?: string;
|
||||||
|
output?: Array<{
|
||||||
|
type: string;
|
||||||
|
content?: Array<{
|
||||||
|
type: string;
|
||||||
|
text?: string;
|
||||||
|
}>;
|
||||||
|
}>;
|
||||||
|
usage?: {
|
||||||
|
total_tokens?: number;
|
||||||
|
};
|
||||||
|
model?: string;
|
||||||
|
}
|
||||||
60
apps/api/src/utils/contextBuilder.ts
Normal file
60
apps/api/src/utils/contextBuilder.ts
Normal file
@ -0,0 +1,60 @@
|
|||||||
|
import { ContextBuildParams } from '../types/ai.types';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Build audio transcription context section
|
||||||
|
*/
|
||||||
|
export function buildAudioContext(transcriptions: string[]): string {
|
||||||
|
if (!transcriptions || transcriptions.length === 0) {
|
||||||
|
return '';
|
||||||
|
}
|
||||||
|
|
||||||
|
let context = '\n\nAUDIO TRANSCRIPTIONS:\n';
|
||||||
|
transcriptions.forEach((transcript, idx) => {
|
||||||
|
context += `\n[Transcript ${idx + 1}]:\n${transcript}\n`;
|
||||||
|
});
|
||||||
|
|
||||||
|
return context;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Build image context section
|
||||||
|
*/
|
||||||
|
export function buildImageContext(
|
||||||
|
selectedImageUrls: string[] | undefined,
|
||||||
|
referenceImageCount: number
|
||||||
|
): string {
|
||||||
|
let context = '';
|
||||||
|
|
||||||
|
// Add information about available images (for article content)
|
||||||
|
if (selectedImageUrls && selectedImageUrls.length > 0) {
|
||||||
|
context += '\n\nAVAILABLE IMAGES FOR ARTICLE:\n';
|
||||||
|
context += `You have ${selectedImageUrls.length} images available. Use {{IMAGE:description}} placeholders where images should be inserted in the article.\n`;
|
||||||
|
context += `Important: You will NOT see these images. Just create descriptive placeholders based on where images would fit naturally in the content.\n`;
|
||||||
|
}
|
||||||
|
|
||||||
|
// Add context about reference images
|
||||||
|
if (referenceImageCount > 0) {
|
||||||
|
context += '\n\nREFERENCE IMAGES (Context Only):\n';
|
||||||
|
context += `You will see ${referenceImageCount} reference images below. These provide visual context to help you understand the topic better.\n`;
|
||||||
|
context += `IMPORTANT: DO NOT create {{IMAGE:...}} placeholders for these reference images. They will NOT appear in the article.\n`;
|
||||||
|
context += `Use these reference images to:\n`;
|
||||||
|
context += `- Better understand the visual style and content\n`;
|
||||||
|
context += `- Get inspiration for descriptions and explanations\n`;
|
||||||
|
context += `- Understand technical details shown in screenshots\n`;
|
||||||
|
context += `- Grasp the overall theme and aesthetic\n`;
|
||||||
|
}
|
||||||
|
|
||||||
|
return context;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Build full context section from all inputs
|
||||||
|
*/
|
||||||
|
export function buildFullContext(params: ContextBuildParams): string {
|
||||||
|
let context = '';
|
||||||
|
|
||||||
|
context += buildAudioContext(params.audioTranscriptions || []);
|
||||||
|
context += buildImageContext(params.selectedImageUrls, params.referenceImageCount);
|
||||||
|
|
||||||
|
return context;
|
||||||
|
}
|
||||||
61
apps/api/src/utils/errorHandler.ts
Normal file
61
apps/api/src/utils/errorHandler.ts
Normal file
@ -0,0 +1,61 @@
|
|||||||
|
import { Response } from 'express';
|
||||||
|
import { AIError } from '../types/ai.types';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Handle AI service errors with consistent logging and response format
|
||||||
|
*/
|
||||||
|
export function handleAIError(
|
||||||
|
err: any,
|
||||||
|
res: Response,
|
||||||
|
requestId: string,
|
||||||
|
elapsedMs?: number
|
||||||
|
): void {
|
||||||
|
// Log detailed error information
|
||||||
|
console.error(`[AIError][${requestId}] Error details:`, {
|
||||||
|
message: err?.message,
|
||||||
|
name: err?.name,
|
||||||
|
status: err?.status,
|
||||||
|
code: err?.code,
|
||||||
|
type: err?.type,
|
||||||
|
param: err?.param,
|
||||||
|
requestID: err?.requestID,
|
||||||
|
headers: err?.headers,
|
||||||
|
error: err?.error,
|
||||||
|
cause: {
|
||||||
|
name: err?.cause?.name,
|
||||||
|
code: err?.cause?.code,
|
||||||
|
message: err?.cause?.message,
|
||||||
|
},
|
||||||
|
stack: err?.stack,
|
||||||
|
elapsedMs,
|
||||||
|
});
|
||||||
|
|
||||||
|
// Determine if we should include detailed error info in response
|
||||||
|
const debug =
|
||||||
|
process.env.NODE_ENV !== 'production' || process.env.DEBUG_AI_ERRORS === 'true';
|
||||||
|
|
||||||
|
const payload: AIError = {
|
||||||
|
error: 'AI operation failed',
|
||||||
|
details: err?.message || 'Unknown error',
|
||||||
|
requestId,
|
||||||
|
elapsedMs,
|
||||||
|
};
|
||||||
|
|
||||||
|
if (debug) {
|
||||||
|
payload.errorDetails = {
|
||||||
|
name: err?.name,
|
||||||
|
status: err?.status,
|
||||||
|
code: err?.code,
|
||||||
|
type: err?.type,
|
||||||
|
param: err?.param,
|
||||||
|
requestID: err?.requestID,
|
||||||
|
cause: {
|
||||||
|
name: err?.cause?.name,
|
||||||
|
code: err?.cause?.code,
|
||||||
|
message: err?.cause?.message,
|
||||||
|
},
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
res.status(500).json(payload);
|
||||||
|
}
|
||||||
70
apps/api/src/utils/imageUtils.ts
Normal file
70
apps/api/src/utils/imageUtils.ts
Normal file
@ -0,0 +1,70 @@
|
|||||||
|
import { getPresignedUrl } from '../storage/s3';
|
||||||
|
|
||||||
|
const SUPPORTED_IMAGE_FORMATS = /\.(png|jpe?g|gif|webp)(\?|$)/i;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Generate presigned URLs for reference images
|
||||||
|
*/
|
||||||
|
export async function generatePresignedUrls(
|
||||||
|
imageUrls: string[],
|
||||||
|
bucket: string
|
||||||
|
): Promise<string[]> {
|
||||||
|
const presignedUrls: string[] = [];
|
||||||
|
|
||||||
|
for (const url of imageUrls) {
|
||||||
|
try {
|
||||||
|
// Extract key from URL: /api/media/obj?key=images/abc.png
|
||||||
|
const keyMatch = url.match(/[?&]key=([^&]+)/);
|
||||||
|
if (keyMatch) {
|
||||||
|
const key = decodeURIComponent(keyMatch[1]);
|
||||||
|
const presignedUrl = await getPresignedUrl({
|
||||||
|
bucket,
|
||||||
|
key,
|
||||||
|
expiresInSeconds: 3600, // 1 hour
|
||||||
|
});
|
||||||
|
presignedUrls.push(presignedUrl);
|
||||||
|
console.log('[ImageUtils] Generated presigned URL for:', key);
|
||||||
|
}
|
||||||
|
} catch (err) {
|
||||||
|
console.error('[ImageUtils] Failed to create presigned URL:', err);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return presignedUrls;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Filter URLs to only include supported image formats
|
||||||
|
*/
|
||||||
|
export function filterSupportedImageFormats(urls: string[]): {
|
||||||
|
supported: string[];
|
||||||
|
skipped: number;
|
||||||
|
} {
|
||||||
|
const supported: string[] = [];
|
||||||
|
let skipped = 0;
|
||||||
|
|
||||||
|
urls.forEach((url) => {
|
||||||
|
if (SUPPORTED_IMAGE_FORMATS.test(url)) {
|
||||||
|
supported.push(url);
|
||||||
|
} else {
|
||||||
|
skipped++;
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
return { supported, skipped };
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Extract image placeholders from generated content
|
||||||
|
*/
|
||||||
|
export function extractImagePlaceholders(content: string): string[] {
|
||||||
|
const regex = /\{\{IMAGE:([^}]+)\}\}/g;
|
||||||
|
const placeholders: string[] = [];
|
||||||
|
let match;
|
||||||
|
|
||||||
|
while ((match = regex.exec(content)) !== null) {
|
||||||
|
placeholders.push(match[1]);
|
||||||
|
}
|
||||||
|
|
||||||
|
return placeholders;
|
||||||
|
}
|
||||||
63
apps/api/src/utils/responseParser.ts
Normal file
63
apps/api/src/utils/responseParser.ts
Normal file
@ -0,0 +1,63 @@
|
|||||||
|
import { ResponsesAPIOutput, Source } from '../types/ai.types';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Parse JSON response from AI, handling markdown code blocks
|
||||||
|
*/
|
||||||
|
export function parseJSONResponse<T>(response: string): T {
|
||||||
|
const cleaned = response
|
||||||
|
.replace(/```json\n?/g, '')
|
||||||
|
.replace(/```\n?/g, '')
|
||||||
|
.trim();
|
||||||
|
return JSON.parse(cleaned);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Extract source citations from chat completion annotations
|
||||||
|
*/
|
||||||
|
export function extractSourceCitations(completion: any): Source[] {
|
||||||
|
const sources: Source[] = [];
|
||||||
|
|
||||||
|
if (completion.choices?.[0]?.message?.annotations) {
|
||||||
|
const annotations = completion.choices[0].message.annotations as any[];
|
||||||
|
for (const annotation of annotations) {
|
||||||
|
if (annotation.type === 'url_citation' && annotation.url_citation) {
|
||||||
|
sources.push({
|
||||||
|
title: annotation.url_citation.title || 'Source',
|
||||||
|
url: annotation.url_citation.url,
|
||||||
|
});
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return sources;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Parse output from Responses API
|
||||||
|
*/
|
||||||
|
export function parseResponsesAPIOutput(response: ResponsesAPIOutput): string {
|
||||||
|
// Try direct output_text field first
|
||||||
|
if (typeof response.output_text === 'string' && response.output_text.length > 0) {
|
||||||
|
return response.output_text;
|
||||||
|
}
|
||||||
|
|
||||||
|
// Fallback to parsing output array
|
||||||
|
if (Array.isArray(response.output)) {
|
||||||
|
const msg = response.output.find((o: any) => o.type === 'message');
|
||||||
|
if (msg && Array.isArray(msg.content)) {
|
||||||
|
const textPart = msg.content.find((c: any) => c.type === 'output_text');
|
||||||
|
if (textPart?.text) {
|
||||||
|
return textPart.text;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return '';
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Strip HTML tags from content
|
||||||
|
*/
|
||||||
|
export function stripHtmlTags(html: string): string {
|
||||||
|
return html.replace(/<[^>]*>/g, ' ').replace(/\s+/g, ' ').trim();
|
||||||
|
}
|
||||||
Loading…
Reference in New Issue
Block a user