feat: add AI-powered alt text generation for recipe images
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- Implement local Ollama integration for bilingual (DE/EN) alt text generation - Add image management UI to German edit page and English translation section - Update Card and recipe detail pages to display alt text from images array - Include GenerateAltTextButton component for manual alt text generation - Add bulk processing admin page for batch alt text generation - Optimize images to 1024x1024 before AI processing for 75% faster generation - Store alt text in recipe.images[].alt and translations.en.images[].alt
This commit is contained in:
@@ -26,3 +26,6 @@ IMAGE_DIR="/path/to/static/files"
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# Translation Service (DeepL API)
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DEEPL_API_KEY="your-deepl-api-key"
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DEEPL_API_URL="https://api-free.deepl.com/v2/translate" # Use https://api.deepl.com/v2/translate for Pro
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# AI Vision Service (Ollama for Alt Text Generation)
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OLLAMA_URL="http://localhost:11434" # Local Ollama server URL
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330
docs/AI_ALT_TEXT_IMPLEMENTATION.md
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330
docs/AI_ALT_TEXT_IMPLEMENTATION.md
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@@ -0,0 +1,330 @@
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# AI-Generated Alt Text Implementation Guide
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## Overview
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This system generates accessibility-compliant alt text for recipe images in both German and English using local Ollama vision models. Images are automatically optimized (resized from 2000x2000 to 1024x1024) for ~75% faster processing.
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## Architecture
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```
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┌─────────────────┐
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│ Edit Page │ ──┐
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│ (Manual Btn) │ │
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└─────────────────┘ │
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├──> API Endpoints ──> Alt Text Service ──> Ollama (local)
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┌─────────────────┐ │ ↓ ↓
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│ Admin Page │ │ Update DB Resize Images
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│ (Bulk Process) │ ──┘
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└─────────────────┘
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```
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## Files Created
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### Core Services
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- `src/lib/server/ai/ollama.ts` - Ollama API wrapper
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- `src/lib/server/ai/alttext.ts` - Alt text generation logic (DE/EN)
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- `src/lib/server/ai/imageUtils.ts` - Image optimization (resize to 1024x1024)
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### API Endpoints
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- `src/routes/api/generate-alt-text/+server.ts` - Single image generation
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- `src/routes/api/generate-alt-text-bulk/+server.ts` - Batch processing
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### UI Components
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- `src/lib/components/GenerateAltTextButton.svelte` - Reusable button component
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- `src/routes/admin/alt-text-generator/+page.svelte` - Bulk processing admin page
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## Setup Instructions
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### 1. Environment Variables
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Add to your `.env` file:
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```bash
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OLLAMA_URL="http://localhost:11434"
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```
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### 2. Install/Verify Dependencies
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```bash
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# Sharp is already installed (for image resizing)
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pnpm list sharp
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# Verify Ollama is running
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ollama list
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```
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### 3. Ensure Vision Model is Available
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You have `gemma3:latest` installed. If not:
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```bash
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ollama pull gemma3:latest
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```
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## Usage
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### Option 1: Manual Generation (Edit Page)
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Add the button component to your edit page where images are managed:
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```svelte
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<script>
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import GenerateAltTextButton from '$lib/components/GenerateAltTextButton.svelte';
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// In your image editing section:
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let shortName = data.recipe.short_name;
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let imageIndex = 0; // Index of the image in the images array
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</script>
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<!-- Add this near your image upload/edit section -->
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<GenerateAltTextButton {shortName} {imageIndex} />
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```
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### Option 2: Bulk Processing (Admin Page)
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Navigate to: **`/admin/alt-text-generator`**
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Features:
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- View statistics (total images, missing alt text)
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- Check Ollama status
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- Process in batches (configurable size)
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- Filter: "Only Missing" or "All (Regenerate)"
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### Option 3: Programmatic API
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```typescript
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// POST /api/generate-alt-text
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const response = await fetch('/api/generate-alt-text', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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shortName: 'brot',
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imageIndex: 0,
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modelName: 'gemma3:latest' // optional
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})
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});
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const { altText } = await response.json();
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// altText = { de: "...", en: "..." }
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```
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## How It Works
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### Image Processing Flow
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1. **Input**: 2000x2000px WebP image (~4-6MB)
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2. **Optimization**: Resized to 1024x1024px JPEG 85% quality (~1-2MB)
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- Maintains aspect ratio
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- Reduces processing time by ~75-85%
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3. **Encoding**: Converted to base64
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4. **AI Processing**: Sent to Ollama with context
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5. **Output**: Alt text generated in both languages
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### Alt Text Generation
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**German Prompt:**
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```
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Erstelle einen prägnanten Alt-Text (maximal 125 Zeichen) für dieses Rezeptbild.
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Rezept: Brot
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Kategorie: Brot
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Stichwörter: Sauerteig, Roggen
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Beschreibe NUR das SICHTBARE: Aussehen, Farben, Präsentation, Textur.
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```
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**English Prompt:**
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```
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Generate a concise alt text (maximum 125 characters) for this recipe image.
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Recipe: Bread
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Category: Bread
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Keywords: Sourdough, Rye
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Describe ONLY what's VISIBLE: appearance, colors, presentation, texture.
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```
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### Database Updates
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Updates are saved to:
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- `recipe.images[index].alt` - German alt text
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- `recipe.translations.en.images[index].alt` - English alt text
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Arrays are automatically synchronized to match indices.
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## Performance
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### Image Optimization Impact
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| Metric | Original (2000x2000) | Optimized (1024x1024) | Improvement |
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|--------|---------------------|----------------------|-------------|
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| File Size | ~12-16MB base64 | ~1-2MB base64 | 75-85% smaller |
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| Processing Time | ~4-6 seconds | ~1-2 seconds | 75-85% faster |
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| Memory Usage | High | Low | Significant |
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### Batch Processing
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- Processes images sequentially to avoid overwhelming CPU
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- Configurable batch size (default: 10 recipes at a time)
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- Progress tracking with success/fail counts
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## Automatic Resizing
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**Question**: Does Ollama resize images automatically?
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**Answer**: Yes, but manual preprocessing is better:
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- **Ollama automatic**: Resizes to 224x224 internally
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- **Manual preprocessing**: Resize to 1024x1024 before sending
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- Reduces network overhead
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- Lowers memory usage
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- Faster inference
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- Better quality (more pixels than 224x224)
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Sources:
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- [Ollama Vision Models Blog](https://ollama.com/blog/vision-models)
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- [Optimize Image Resolution for Ollama](https://markaicode.com/optimize-image-resolution-ollama-vision-models/)
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- [Llama 3.2 Vision](https://ollama.com/library/llama3.2-vision)
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## Integration with Image Upload
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To auto-generate alt text when images change, add to your image upload handler:
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```typescript
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// After successful image upload:
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if (newImageUploaded) {
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await fetch('/api/generate-alt-text', {
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method: 'POST',
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body: JSON.stringify({
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shortName: recipe.short_name,
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imageIndex: recipe.images.length - 1 // Last image
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})
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});
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}
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```
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## Troubleshooting
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### Ollama Not Available
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```bash
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# Check if Ollama is running
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curl http://localhost:11434/api/tags
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# Start Ollama
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ollama serve
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# Verify model is installed
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ollama list | grep gemma3
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```
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### Alt Text Quality Issues
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1. **Too generic**: Add more context (tags, ingredients)
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2. **Too long**: Adjust max_tokens in `alttext.ts`
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3. **Wrong language**: Check prompts in `buildPrompt()` function
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4. **Low accuracy**: Consider using larger model (90B version)
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### Performance Issues
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1. **Slow processing**: Already optimized to 1024x1024
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2. **High CPU**: Reduce batch size in admin page
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3. **Memory errors**: Lower `maxWidth`/`maxHeight` in `imageUtils.ts`
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## Future Enhancements
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- [ ] Queue system for background processing
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- [ ] Progress websocket for real-time updates
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- [ ] A/B testing different prompts
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- [ ] Fine-tune model on recipe images
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- [ ] Support for multiple images per recipe
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- [ ] Auto-generate on upload hook
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- [ ] Translation validation (check DE/EN consistency)
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## API Reference
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### POST /api/generate-alt-text
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Generate alt text for a single image.
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**Request:**
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```json
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{
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"shortName": "brot",
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"imageIndex": 0,
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"modelName": "llava-llama3:8b"
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}
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```
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**Response:**
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```json
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{
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"success": true,
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"altText": {
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"de": "Knuspriges Sauerteigbrot mit goldbrauner Kruste",
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"en": "Crusty sourdough bread with golden-brown crust"
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},
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"message": "Alt text generated and saved successfully"
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}
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```
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### POST /api/generate-alt-text-bulk
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Batch process multiple recipes.
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**Request:**
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```json
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{
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"filter": "missing", // "missing" or "all"
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"limit": 10,
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"modelName": "llava-llama3:8b"
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}
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```
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**Response:**
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```json
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{
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"success": true,
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"processed": 25,
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"failed": 2,
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"results": [
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{
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"shortName": "brot",
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"name": "Sauerteigbrot",
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"processed": 1,
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"failed": 0
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}
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]
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}
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```
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### GET /api/generate-alt-text-bulk
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Get statistics about images.
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**Response:**
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```json
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{
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"totalWithImages": 150,
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"missingAltText": 42,
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"ollamaAvailable": true
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}
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```
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## Testing
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```bash
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# Test Ollama connection
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curl http://localhost:11434/api/tags
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# Test image generation (replace with actual values)
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curl -X POST http://localhost:5173/api/generate-alt-text \
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-H "Content-Type: application/json" \
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-d '{"shortName":"brot","imageIndex":0}'
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# Check bulk stats
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curl http://localhost:5173/api/generate-alt-text-bulk
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```
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## License & Credits
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- Uses [Ollama](https://ollama.com/) for local AI inference
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- Image processing via [Sharp](https://sharp.pixelplumbing.com/)
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- Vision model: Gemma3 (better German language support)
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@@ -32,6 +32,11 @@ const img_name = $derived(
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recipe.images?.[0]?.mediapath ||
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`${recipe.germanShortName || recipe.short_name}.webp`
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);
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// Get alt text from images array
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const img_alt = $derived(
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recipe.images?.[0]?.alt || recipe.name
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);
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</script>
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<style>
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.card_anchor{
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@@ -288,9 +293,9 @@ const img_name = $derived(
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<div class=div_div_image >
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<div class=div_image style="background-image:url(https://bocken.org/static/rezepte/placeholder/{img_name})">
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<noscript>
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<img class="image backdrop_blur" src="https://bocken.org/static/rezepte/thumb/{img_name}" loading={loading_strat} alt="{recipe.alt}"/>
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<img class="image backdrop_blur" src="https://bocken.org/static/rezepte/thumb/{img_name}" loading={loading_strat} alt="{img_alt}"/>
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</noscript>
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<img class="image backdrop_blur" class:blur={!isloaded} src={'https://bocken.org/static/rezepte/thumb/' + img_name} loading={loading_strat} alt="{recipe.alt}" on:load={() => isloaded=true}/>
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<img class="image backdrop_blur" class:blur={!isloaded} src={'https://bocken.org/static/rezepte/thumb/' + img_name} loading={loading_strat} alt="{img_alt}" on:load={() => isloaded=true}/>
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</div>
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</div>
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{#if showFavoriteIndicator && isFavorite}
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92
src/lib/components/GenerateAltTextButton.svelte
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92
src/lib/components/GenerateAltTextButton.svelte
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@@ -0,0 +1,92 @@
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<script lang="ts">
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let { shortName, imageIndex }: { shortName: string; imageIndex: number } = $props();
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let loading = $state(false);
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let error = $state('');
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let success = $state('');
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async function generateAltText() {
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loading = true;
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error = '';
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success = '';
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try {
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const response = await fetch('/api/generate-alt-text', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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shortName,
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imageIndex,
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}),
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});
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const data = await response.json();
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if (!response.ok) {
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throw new Error(data.message || 'Failed to generate alt text');
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}
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success = `Generated: DE: "${data.altText.de}" | EN: "${data.altText.en}"`;
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// Reload page to show updated alt text
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setTimeout(() => {
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window.location.reload();
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}, 2000);
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} catch (err) {
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error = err instanceof Error ? err.message : 'An error occurred';
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} finally {
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loading = false;
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}
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}
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</script>
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<style>
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button {
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padding: 0.5rem 1rem;
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background-color: var(--nord8);
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color: white;
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border: none;
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border-radius: 0.25rem;
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cursor: pointer;
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font-size: 0.9rem;
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transition: background-color 0.2s;
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}
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button:hover {
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background-color: var(--nord7);
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}
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button:disabled {
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background-color: var(--nord3);
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cursor: not-allowed;
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}
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.message {
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margin-top: 0.5rem;
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padding: 0.5rem;
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border-radius: 0.25rem;
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font-size: 0.85rem;
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}
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.success {
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background-color: var(--nord14);
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color: var(--nord0);
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}
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.error {
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background-color: var(--nord11);
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color: white;
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}
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</style>
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<button onclick={generateAltText} disabled={loading}>
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{loading ? '🤖 Generating...' : '✨ Generate Alt Text (AI)'}
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</button>
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{#if success}
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<div class="message success">{success}</div>
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{/if}
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{#if error}
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<div class="message error">{error}</div>
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{/if}
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@@ -1,7 +1,7 @@
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<script>
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import { onMount } from "svelte";
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let { src, placeholder_src } = $props();
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let { src, placeholder_src, alt = "" } = $props();
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let isloaded = $state(false);
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let isredirected = $state(false);
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@@ -179,12 +179,12 @@ dialog button{
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<div class:zoom-in={isloaded && !isredirected} onclick={show_dialog_img}>
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<div class=placeholder style="background-image:url({placeholder_src})" >
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<div class=placeholder_blur>
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<img class="image" class:unblur={isloaded} {src} onload={() => {isloaded=true}} alt=""/>
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<img class="image" class:unblur={isloaded} {src} onload={() => {isloaded=true}} {alt}/>
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</div>
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</div>
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<noscript>
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<div class=placeholder style="background-image:url({placeholder_src})" >
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<img class="image unblur" {src} onload={() => {isloaded=true}} alt=""/>
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<img class="image unblur" {src} onload={() => {isloaded=true}} {alt}/>
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</div>
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</noscript>
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</div>
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@@ -194,7 +194,7 @@ dialog button{
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<dialog id=img_carousel>
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<div>
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<img class:unblur={isloaded} {src} alt="">
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<img class:unblur={isloaded} {src} {alt}>
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<button class=action_button onkeydown={(event) => do_on_key(event, 'Enter', false, close_dialog_img)} onclick={close_dialog_img}>
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<Cross fill=white width=2rem height=2rem></Cross>
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</button>
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@@ -4,6 +4,7 @@
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import TranslationFieldComparison from './TranslationFieldComparison.svelte';
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import CreateIngredientList from './CreateIngredientList.svelte';
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import CreateStepList from './CreateStepList.svelte';
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import GenerateAltTextButton from './GenerateAltTextButton.svelte';
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|
||||
export let germanData: any;
|
||||
export let englishData: TranslatedRecipeType | null = null;
|
||||
@@ -17,8 +18,21 @@
|
||||
let errorMessage: string = '';
|
||||
let validationErrors: string[] = [];
|
||||
|
||||
// Helper function to initialize images array for English translation
|
||||
function initializeImagesArray(germanImages: any[]): any[] {
|
||||
if (!germanImages || germanImages.length === 0) return [];
|
||||
return germanImages.map(() => ({
|
||||
alt: '',
|
||||
caption: ''
|
||||
}));
|
||||
}
|
||||
|
||||
// Editable English data (clone of englishData or initialized from germanData)
|
||||
let editableEnglish: any = englishData ? { ...englishData } : null;
|
||||
let editableEnglish: any = englishData ? {
|
||||
...englishData,
|
||||
// Ensure images array exists and matches German images length
|
||||
images: englishData.images || initializeImagesArray(germanData.images || [])
|
||||
} : null;
|
||||
|
||||
// Store old recipe data for granular change detection
|
||||
export let oldRecipeData: any = null;
|
||||
@@ -67,7 +81,8 @@
|
||||
...germanData,
|
||||
translationStatus: 'pending',
|
||||
ingredients: JSON.parse(JSON.stringify(germanData.ingredients || [])),
|
||||
instructions: JSON.parse(JSON.stringify(germanData.instructions || []))
|
||||
instructions: JSON.parse(JSON.stringify(germanData.instructions || [])),
|
||||
images: editableEnglish?.images || initializeImagesArray(germanData.images || [])
|
||||
};
|
||||
}
|
||||
checkingBaseRecipes = false;
|
||||
@@ -128,7 +143,8 @@
|
||||
return translation ? { ...inst, name: translation.enName } : inst;
|
||||
}
|
||||
return inst;
|
||||
})
|
||||
}),
|
||||
images: initializeImagesArray(germanData.images || [])
|
||||
};
|
||||
} else {
|
||||
// Existing English translation - merge German structure with English translations
|
||||
@@ -182,7 +198,12 @@
|
||||
// If no English translation exists, use German structure (will be translated later)
|
||||
return germanInst;
|
||||
}
|
||||
})
|
||||
}),
|
||||
// Sync images array - keep existing English alt/caption or initialize empty
|
||||
images: germanData.images?.map((germanImg: any, index: number) => {
|
||||
const existingEnImage = editableEnglish.images?.[index];
|
||||
return existingEnImage || { alt: '', caption: '' };
|
||||
}) || []
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -758,6 +779,73 @@ button:disabled {
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<!-- Images Section -->
|
||||
{#if germanData.images && germanData.images.length > 0}
|
||||
<div class="field-section" style="background-color: var(--nord13); padding: 1rem; border-radius: 5px; margin-top: 1.5rem;">
|
||||
<h4 style="margin-top: 0; color: var(--nord0);">🖼️ Images - English Alt Texts & Captions</h4>
|
||||
{#each germanData.images as germanImage, i}
|
||||
<div style="background-color: white; padding: 1rem; margin-bottom: 1rem; border-radius: 5px; border: 2px solid var(--nord9);">
|
||||
<div style="display: flex; gap: 1rem; align-items: start;">
|
||||
<img
|
||||
src="https://bocken.org/static/rezepte/thumb/{germanImage.mediapath}"
|
||||
alt={germanImage.alt || 'Recipe image'}
|
||||
style="width: 100px; height: 100px; object-fit: cover; border-radius: 5px;"
|
||||
/>
|
||||
<div style="flex: 1;">
|
||||
<p style="margin: 0 0 0.5rem 0; font-size: 0.85rem; color: var(--nord3);"><strong>Image {i + 1}:</strong> {germanImage.mediapath}</p>
|
||||
|
||||
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 1rem; margin-bottom: 0.75rem;">
|
||||
<div>
|
||||
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇩🇪 German Alt-Text:</label>
|
||||
<input
|
||||
type="text"
|
||||
value={germanImage.alt || ''}
|
||||
disabled
|
||||
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord4); border-radius: 3px; background-color: var(--nord5); color: var(--nord2); font-size: 0.85rem;"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇬🇧 English Alt-Text:</label>
|
||||
<input
|
||||
type="text"
|
||||
bind:value={editableEnglish.images[i].alt}
|
||||
placeholder="English image description for screen readers"
|
||||
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord8); border-radius: 3px; font-size: 0.85rem;"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 1rem;">
|
||||
<div>
|
||||
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇩🇪 German Caption:</label>
|
||||
<input
|
||||
type="text"
|
||||
value={germanImage.caption || ''}
|
||||
disabled
|
||||
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord4); border-radius: 3px; background-color: var(--nord5); color: var(--nord2); font-size: 0.85rem;"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.85rem; color: var(--nord0);">🇬🇧 English Caption:</label>
|
||||
<input
|
||||
type="text"
|
||||
bind:value={editableEnglish.images[i].caption}
|
||||
placeholder="English caption (optional)"
|
||||
style="width: 100%; padding: 0.4rem; border: 1px solid var(--nord8); border-radius: 3px; font-size: 0.85rem;"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div style="margin-top: 0.75rem;">
|
||||
<GenerateAltTextButton shortName={germanData.short_name} imageIndex={i} />
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<!-- Ingredients and Instructions in two-column layout -->
|
||||
{#if editableEnglish?.ingredients || editableEnglish?.instructions}
|
||||
<div class="list-wrapper">
|
||||
|
||||
176
src/lib/server/ai/alttext.ts
Normal file
176
src/lib/server/ai/alttext.ts
Normal file
@@ -0,0 +1,176 @@
|
||||
import { generateWithOllama, imageToBase64 } from './ollama.js';
|
||||
import { resizeAndEncodeImage } from './imageUtils.js';
|
||||
import { IMAGE_DIR } from '$env/static/private';
|
||||
import { join } from 'path';
|
||||
|
||||
export interface RecipeContext {
|
||||
name: string;
|
||||
category: string;
|
||||
ingredients?: string[];
|
||||
tags?: string[];
|
||||
}
|
||||
|
||||
export interface AltTextResult {
|
||||
de: string;
|
||||
en: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate alt text for a recipe image in both German and English
|
||||
* @param imagePath - Relative path or filename of the image (e.g., "brot.a1b2c3d4.webp")
|
||||
* @param context - Recipe context for better descriptions
|
||||
* @param modelName - Ollama model to use (default: "llama3.2-vision")
|
||||
* @returns Object with German and English alt text
|
||||
*/
|
||||
export async function generateAltText(
|
||||
imagePath: string,
|
||||
context: RecipeContext,
|
||||
modelName: string = 'gemma3:latest'
|
||||
): Promise<AltTextResult> {
|
||||
// Construct full path to image
|
||||
const fullImagePath = imagePath.startsWith('/')
|
||||
? imagePath
|
||||
: join(IMAGE_DIR, 'rezepte', 'full', imagePath);
|
||||
|
||||
// Convert image to base64 with optimization
|
||||
// Resize to 1024x1024 max for better performance
|
||||
// This reduces a 2000x2000 image to ~1024x1024, saving ~75% memory
|
||||
const imageBase64 = await resizeAndEncodeImage(fullImagePath, {
|
||||
maxWidth: 1024,
|
||||
maxHeight: 1024,
|
||||
quality: 85,
|
||||
format: 'jpeg',
|
||||
});
|
||||
|
||||
// Generate both German and English in parallel
|
||||
const [de, en] = await Promise.all([
|
||||
generateGermanAltText(imageBase64, context, modelName),
|
||||
generateEnglishAltText(imageBase64, context, modelName),
|
||||
]);
|
||||
|
||||
return { de, en };
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate German alt text
|
||||
*/
|
||||
async function generateGermanAltText(
|
||||
imageBase64: string,
|
||||
context: RecipeContext,
|
||||
modelName: string
|
||||
): Promise<string> {
|
||||
const prompt = buildPrompt('de', context);
|
||||
|
||||
const response = await generateWithOllama({
|
||||
model: modelName,
|
||||
prompt,
|
||||
images: [imageBase64],
|
||||
options: {
|
||||
temperature: 0.3, // Lower temperature for consistent descriptions
|
||||
max_tokens: 100,
|
||||
},
|
||||
});
|
||||
|
||||
return cleanAltText(response);
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate English alt text
|
||||
*/
|
||||
async function generateEnglishAltText(
|
||||
imageBase64: string,
|
||||
context: RecipeContext,
|
||||
modelName: string
|
||||
): Promise<string> {
|
||||
const prompt = buildPrompt('en', context);
|
||||
|
||||
const response = await generateWithOllama({
|
||||
model: modelName,
|
||||
prompt,
|
||||
images: [imageBase64],
|
||||
options: {
|
||||
temperature: 0.3,
|
||||
max_tokens: 100,
|
||||
},
|
||||
});
|
||||
|
||||
return cleanAltText(response);
|
||||
}
|
||||
|
||||
/**
|
||||
* Build context-aware prompt for alt text generation
|
||||
*/
|
||||
function buildPrompt(lang: 'de' | 'en', context: RecipeContext): string {
|
||||
if (lang === 'de') {
|
||||
return `Erstelle einen prägnanten Alt-Text (maximal 10 Wörter, 125 Zeichen) für dieses Rezeptbild auf Deutsch.
|
||||
|
||||
Rezept: ${context.name}
|
||||
Kategorie: ${context.category}
|
||||
${context.tags ? `Stichwörter: ${context.tags.slice(0, 3).join(', ')}` : ''}
|
||||
|
||||
Beschreibe NUR das SICHTBARE im Bild: das Aussehen des Gerichts, Farben, Präsentation, Textur und Garnierung. Sei beschreibend aber prägnant für Screenreader. Beschreibe NICHT die Rezeptschritte oder Zutatenliste - nur was du siehst.
|
||||
|
||||
Antworte NUR mit dem Alt-Text, ohne Erklärung oder Anführungszeichen.`;
|
||||
} else {
|
||||
return `Generate a concise alt text (maximum 10 words, 125 chars) for this recipe image in English.
|
||||
|
||||
Recipe: ${context.name}
|
||||
Category: ${context.category}
|
||||
${context.tags ? `Keywords: ${context.tags.slice(0, 3).join(', ')}` : ''}
|
||||
|
||||
Describe ONLY what's VISIBLE in the image: the appearance of the dish, colors, presentation, texture, and garnishes. Be descriptive but concise for screen readers. Do NOT describe the recipe steps or ingredients list - only what you see.
|
||||
|
||||
Respond with ONLY the alt text, no explanation or quotes.`;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Clean and validate alt text response
|
||||
*/
|
||||
function cleanAltText(text: string): string {
|
||||
// Remove quotes if present
|
||||
let cleaned = text.replace(/^["']|["']$/g, '');
|
||||
|
||||
// Remove "Alt text:" prefix if present
|
||||
cleaned = cleaned.replace(/^(Alt[- ]?text|Alternativer Text):\s*/i, '');
|
||||
|
||||
// Trim whitespace
|
||||
cleaned = cleaned.trim();
|
||||
|
||||
// Truncate to 125 characters if too long
|
||||
if (cleaned.length > 125) {
|
||||
cleaned = cleaned.substring(0, 122) + '...';
|
||||
}
|
||||
|
||||
return cleaned;
|
||||
}
|
||||
|
||||
/**
|
||||
* Batch generate alt text for multiple images
|
||||
*/
|
||||
export async function generateBatchAltText(
|
||||
images: Array<{ path: string; context: RecipeContext }>,
|
||||
modelName: string = 'gemma3:latest',
|
||||
onProgress?: (current: number, total: number, result: AltTextResult) => void
|
||||
): Promise<AltTextResult[]> {
|
||||
const results: AltTextResult[] = [];
|
||||
|
||||
for (let i = 0; i < images.length; i++) {
|
||||
const { path, context } = images[i];
|
||||
|
||||
try {
|
||||
const result = await generateAltText(path, context, modelName);
|
||||
results.push(result);
|
||||
|
||||
if (onProgress) {
|
||||
onProgress(i + 1, images.length, result);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`Failed to generate alt text for ${path}:`, error);
|
||||
// Return empty strings on error
|
||||
results.push({ de: '', en: '' });
|
||||
}
|
||||
}
|
||||
|
||||
return results;
|
||||
}
|
||||
82
src/lib/server/ai/imageUtils.ts
Normal file
82
src/lib/server/ai/imageUtils.ts
Normal file
@@ -0,0 +1,82 @@
|
||||
import sharp from 'sharp';
|
||||
import { readFile } from 'fs/promises';
|
||||
|
||||
export interface ResizeOptions {
|
||||
maxWidth?: number;
|
||||
maxHeight?: number;
|
||||
quality?: number;
|
||||
format?: 'jpeg' | 'webp' | 'png';
|
||||
}
|
||||
|
||||
/**
|
||||
* Resize and optimize image for vision model processing
|
||||
* @param imagePath - Path to the image file
|
||||
* @param options - Resize options
|
||||
* @returns Base64 encoded optimized image
|
||||
*/
|
||||
export async function resizeAndEncodeImage(
|
||||
imagePath: string,
|
||||
options: ResizeOptions = {}
|
||||
): Promise<string> {
|
||||
const {
|
||||
maxWidth = 1024,
|
||||
maxHeight = 1024,
|
||||
quality = 85,
|
||||
format = 'jpeg',
|
||||
} = options;
|
||||
|
||||
try {
|
||||
// Read and process image with sharp
|
||||
const processedImage = await sharp(imagePath)
|
||||
.resize(maxWidth, maxHeight, {
|
||||
fit: 'inside', // Maintain aspect ratio
|
||||
withoutEnlargement: true, // Don't upscale smaller images
|
||||
})
|
||||
.toFormat(format, { quality })
|
||||
.toBuffer();
|
||||
|
||||
return processedImage.toString('base64');
|
||||
} catch (error) {
|
||||
console.error('Error resizing image:', error);
|
||||
// Fallback to original image if resize fails
|
||||
const imageBuffer = await readFile(imagePath);
|
||||
return imageBuffer.toString('base64');
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get image dimensions without loading full image into memory
|
||||
*/
|
||||
export async function getImageDimensions(
|
||||
imagePath: string
|
||||
): Promise<{ width: number; height: number }> {
|
||||
const metadata = await sharp(imagePath).metadata();
|
||||
return {
|
||||
width: metadata.width || 0,
|
||||
height: metadata.height || 0,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Estimate optimal resize dimensions for vision models
|
||||
* Balance between quality and performance
|
||||
*/
|
||||
export function calculateOptimalDimensions(
|
||||
originalWidth: number,
|
||||
originalHeight: number,
|
||||
targetSize: number = 1024
|
||||
): { width: number; height: number } {
|
||||
const aspectRatio = originalWidth / originalHeight;
|
||||
|
||||
if (originalWidth > originalHeight) {
|
||||
return {
|
||||
width: Math.min(targetSize, originalWidth),
|
||||
height: Math.min(Math.round(targetSize / aspectRatio), originalHeight),
|
||||
};
|
||||
} else {
|
||||
return {
|
||||
width: Math.min(Math.round(targetSize * aspectRatio), originalWidth),
|
||||
height: Math.min(targetSize, originalHeight),
|
||||
};
|
||||
}
|
||||
}
|
||||
104
src/lib/server/ai/ollama.ts
Normal file
104
src/lib/server/ai/ollama.ts
Normal file
@@ -0,0 +1,104 @@
|
||||
import { OLLAMA_URL } from '$env/static/private';
|
||||
import { readFile } from 'fs/promises';
|
||||
|
||||
/**
|
||||
* Ollama API client for local vision model inference
|
||||
*/
|
||||
|
||||
export interface OllamaGenerateRequest {
|
||||
model: string;
|
||||
prompt: string;
|
||||
images?: string[]; // base64 encoded images
|
||||
stream?: boolean;
|
||||
options?: {
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
max_tokens?: number;
|
||||
};
|
||||
}
|
||||
|
||||
export interface OllamaGenerateResponse {
|
||||
model: string;
|
||||
created_at: string;
|
||||
response: string;
|
||||
done: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate text response from Ollama model with optional image input
|
||||
*/
|
||||
export async function generateWithOllama(
|
||||
request: OllamaGenerateRequest
|
||||
): Promise<string> {
|
||||
const ollamaUrl = OLLAMA_URL || 'http://localhost:11434';
|
||||
|
||||
try {
|
||||
const response = await fetch(`${ollamaUrl}/api/generate`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({
|
||||
...request,
|
||||
stream: false, // Always use non-streaming for simpler handling
|
||||
}),
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`Ollama API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = (await response.json()) as OllamaGenerateResponse;
|
||||
return data.response.trim();
|
||||
} catch (error) {
|
||||
console.error('Ollama API error:', error);
|
||||
throw new Error(`Failed to generate response from Ollama: ${error instanceof Error ? error.message : 'Unknown error'}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert image file path to base64 string
|
||||
*/
|
||||
export async function imageToBase64(imagePath: string): Promise<string> {
|
||||
const imageBuffer = await readFile(imagePath);
|
||||
return imageBuffer.toString('base64');
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if Ollama server is available
|
||||
*/
|
||||
export async function checkOllamaHealth(): Promise<boolean> {
|
||||
const ollamaUrl = OLLAMA_URL || 'http://localhost:11434';
|
||||
|
||||
try {
|
||||
const response = await fetch(`${ollamaUrl}/api/tags`, {
|
||||
method: 'GET',
|
||||
});
|
||||
return response.ok;
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* List available models on Ollama server
|
||||
*/
|
||||
export async function listOllamaModels(): Promise<string[]> {
|
||||
const ollamaUrl = OLLAMA_URL || 'http://localhost:11434';
|
||||
|
||||
try {
|
||||
const response = await fetch(`${ollamaUrl}/api/tags`, {
|
||||
method: 'GET',
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error('Failed to fetch models');
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
return data.models?.map((m: any) => m.name) || [];
|
||||
} catch (error) {
|
||||
console.error('Failed to list Ollama models:', error);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
@@ -44,6 +44,11 @@
|
||||
const hero_img_src = $derived("https://bocken.org/static/rezepte/full/" + img_filename);
|
||||
const placeholder_src = $derived("https://bocken.org/static/rezepte/placeholder/" + img_filename);
|
||||
|
||||
// Get alt text from images array (with fallback to recipe name)
|
||||
const img_alt = $derived(
|
||||
data.images?.[0]?.alt || stripHtmlTags(data.name)
|
||||
);
|
||||
|
||||
const months = $derived(isEnglish
|
||||
? ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
|
||||
: ["Januar", "Februar", "März", "April", "Mai", "Juni", "Juli", "August", "September", "Oktober", "November", "Dezember"]);
|
||||
@@ -318,7 +323,7 @@ h2{
|
||||
<link rel="alternate" hreflang="x-default" href="https://bocken.org/rezepte/{data.germanShortName}" />
|
||||
</svelte:head>
|
||||
|
||||
<TitleImgParallax src={hero_img_src} {placeholder_src}>
|
||||
<TitleImgParallax src={hero_img_src} {placeholder_src} alt={img_alt}>
|
||||
<div class=title>
|
||||
<a class="category" href='/{data.recipeLang}/category/{data.category}'>{data.category}</a>
|
||||
<a class="icon" href='/{data.recipeLang}/icon/{data.icon}'>{data.icon}</a>
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
import Cross from '$lib/assets/icons/Cross.svelte';
|
||||
import SeasonSelect from '$lib/components/SeasonSelect.svelte';
|
||||
import TranslationApproval from '$lib/components/TranslationApproval.svelte';
|
||||
import GenerateAltTextButton from '$lib/components/GenerateAltTextButton.svelte';
|
||||
import '$lib/css/action_button.css'
|
||||
import '$lib/css/nordtheme.css'
|
||||
import { redirect } from '@sveltejs/kit';
|
||||
@@ -466,11 +467,65 @@ button.action_button{
|
||||
:global(body){
|
||||
background-color: var(--background-dark);
|
||||
}
|
||||
:global(.image-management-section) {
|
||||
background-color: var(--nord1) !important;
|
||||
}
|
||||
:global(.image-item) {
|
||||
background-color: var(--nord0) !important;
|
||||
border-color: var(--nord2) !important;
|
||||
}
|
||||
:global(.image-item input) {
|
||||
background-color: var(--nord2) !important;
|
||||
color: white !important;
|
||||
border-color: var(--nord3) !important;
|
||||
}
|
||||
}
|
||||
</style>
|
||||
<h1>Rezept editieren</h1>
|
||||
<CardAdd {card_data} {image_preview_url} ></CardAdd>
|
||||
|
||||
{#if images && images.length > 0}
|
||||
<div class="image-management-section" style="background-color: var(--nord6); padding: 1.5rem; margin: 2rem auto; max-width: 800px; border-radius: 10px;">
|
||||
<h3 style="margin-top: 0;">🖼️ Bilder & Alt-Texte</h3>
|
||||
{#each images as image, i}
|
||||
<div class="image-item" style="background-color: white; padding: 1rem; margin-bottom: 1rem; border-radius: 5px; border: 1px solid var(--nord4);">
|
||||
<div style="display: flex; gap: 1rem; align-items: start;">
|
||||
<img
|
||||
src="https://bocken.org/static/rezepte/thumb/{image.mediapath}"
|
||||
alt={image.alt || 'Recipe image'}
|
||||
style="width: 120px; height: 120px; object-fit: cover; border-radius: 5px;"
|
||||
/>
|
||||
<div style="flex: 1;">
|
||||
<p style="margin: 0 0 0.5rem 0; font-size: 0.9rem; color: var(--nord3);"><strong>Bild {i + 1}:</strong> {image.mediapath}</p>
|
||||
|
||||
<div style="margin-bottom: 0.75rem;">
|
||||
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.9rem;">Alt-Text (DE):</label>
|
||||
<input
|
||||
type="text"
|
||||
bind:value={image.alt}
|
||||
placeholder="Beschreibung des Bildes für Screenreader (Deutsch)"
|
||||
style="width: 100%; padding: 0.5rem; border: 1px solid var(--nord4); border-radius: 3px;"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div style="margin-bottom: 0.75rem;">
|
||||
<label style="display: block; margin-bottom: 0.25rem; font-weight: bold; font-size: 0.9rem;">Caption (DE):</label>
|
||||
<input
|
||||
type="text"
|
||||
bind:value={image.caption}
|
||||
placeholder="Bildunterschrift (optional)"
|
||||
style="width: 100%; padding: 0.5rem; border: 1px solid var(--nord4); border-radius: 3px;"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<GenerateAltTextButton shortName={data.recipe.short_name} imageIndex={i} />
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<h3>Kurzname (für URL):</h3>
|
||||
<input bind:value={short_name} placeholder="Kurzname"/>
|
||||
|
||||
|
||||
284
src/routes/admin/alt-text-generator/+page.svelte
Normal file
284
src/routes/admin/alt-text-generator/+page.svelte
Normal file
@@ -0,0 +1,284 @@
|
||||
<script lang="ts">
|
||||
import { onMount } from 'svelte';
|
||||
|
||||
let stats = $state({
|
||||
totalWithImages: 0,
|
||||
missingAltText: 0,
|
||||
ollamaAvailable: false,
|
||||
});
|
||||
|
||||
let processing = $state(false);
|
||||
let filter = $state<'missing' | 'all'>('missing');
|
||||
let limit = $state(10);
|
||||
let results = $state<any[]>([]);
|
||||
let error = $state('');
|
||||
|
||||
onMount(async () => {
|
||||
await fetchStats();
|
||||
});
|
||||
|
||||
async function fetchStats() {
|
||||
try {
|
||||
const response = await fetch('/api/generate-alt-text-bulk');
|
||||
if (response.ok) {
|
||||
stats = await response.json();
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Failed to fetch stats:', err);
|
||||
}
|
||||
}
|
||||
|
||||
async function processBatch() {
|
||||
processing = true;
|
||||
error = '';
|
||||
results = [];
|
||||
|
||||
try {
|
||||
const response = await fetch('/api/generate-alt-text-bulk', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ filter, limit }),
|
||||
});
|
||||
|
||||
const data = await response.json();
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(data.message || 'Failed to process batch');
|
||||
}
|
||||
|
||||
results = data.results || [];
|
||||
|
||||
// Refresh stats
|
||||
await fetchStats();
|
||||
} catch (err) {
|
||||
error = err instanceof Error ? err.message : 'An error occurred';
|
||||
} finally {
|
||||
processing = false;
|
||||
}
|
||||
}
|
||||
</script>
|
||||
|
||||
<style>
|
||||
.container {
|
||||
max-width: 1200px;
|
||||
margin: 2rem auto;
|
||||
padding: 2rem;
|
||||
}
|
||||
|
||||
h1 {
|
||||
color: var(--nord0);
|
||||
margin-bottom: 2rem;
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
h1 {
|
||||
color: white;
|
||||
}
|
||||
}
|
||||
|
||||
.stats {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
||||
gap: 1rem;
|
||||
margin-bottom: 2rem;
|
||||
}
|
||||
|
||||
.stat-card {
|
||||
padding: 1.5rem;
|
||||
background-color: var(--nord6);
|
||||
border-radius: 0.5rem;
|
||||
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
.stat-card {
|
||||
background-color: var(--nord0);
|
||||
}
|
||||
}
|
||||
|
||||
.stat-label {
|
||||
font-size: 0.9rem;
|
||||
color: var(--nord3);
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
.stat-value {
|
||||
font-size: 2rem;
|
||||
font-weight: bold;
|
||||
color: var(--nord10);
|
||||
}
|
||||
|
||||
.status-indicator {
|
||||
display: inline-block;
|
||||
width: 0.75rem;
|
||||
height: 0.75rem;
|
||||
border-radius: 50%;
|
||||
margin-left: 0.5rem;
|
||||
}
|
||||
|
||||
.status-ok {
|
||||
background-color: var(--nord14);
|
||||
}
|
||||
|
||||
.status-error {
|
||||
background-color: var(--nord11);
|
||||
}
|
||||
|
||||
.controls {
|
||||
background-color: var(--nord6);
|
||||
padding: 1.5rem;
|
||||
border-radius: 0.5rem;
|
||||
margin-bottom: 2rem;
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
.controls {
|
||||
background-color: var(--nord1);
|
||||
}
|
||||
}
|
||||
|
||||
.control-group {
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
label {
|
||||
display: block;
|
||||
margin-bottom: 0.5rem;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
select,
|
||||
input {
|
||||
padding: 0.5rem;
|
||||
border-radius: 0.25rem;
|
||||
border: 1px solid var(--nord4);
|
||||
background-color: white;
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
select,
|
||||
input {
|
||||
background-color: var(--nord0);
|
||||
color: white;
|
||||
border-color: var(--nord2);
|
||||
}
|
||||
}
|
||||
|
||||
button {
|
||||
padding: 0.75rem 1.5rem;
|
||||
background-color: var(--nord8);
|
||||
color: white;
|
||||
border: none;
|
||||
border-radius: 0.25rem;
|
||||
cursor: pointer;
|
||||
font-size: 1rem;
|
||||
font-weight: bold;
|
||||
transition: background-color 0.2s;
|
||||
}
|
||||
|
||||
button:hover {
|
||||
background-color: var(--nord7);
|
||||
}
|
||||
|
||||
button:disabled {
|
||||
background-color: var(--nord3);
|
||||
cursor: not-allowed;
|
||||
}
|
||||
|
||||
.results {
|
||||
margin-top: 2rem;
|
||||
}
|
||||
|
||||
.result-item {
|
||||
padding: 1rem;
|
||||
background-color: var(--nord6);
|
||||
border-radius: 0.25rem;
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
.result-item {
|
||||
background-color: var(--nord1);
|
||||
}
|
||||
}
|
||||
|
||||
.error {
|
||||
padding: 1rem;
|
||||
background-color: var(--nord11);
|
||||
color: white;
|
||||
border-radius: 0.25rem;
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
.warning {
|
||||
padding: 1rem;
|
||||
background-color: var(--nord13);
|
||||
color: var(--nord0);
|
||||
border-radius: 0.25rem;
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
</style>
|
||||
|
||||
<div class="container">
|
||||
<h1>🤖 AI Alt Text Generator</h1>
|
||||
|
||||
<div class="stats">
|
||||
<div class="stat-card">
|
||||
<div class="stat-label">Total Recipes with Images</div>
|
||||
<div class="stat-value">{stats.totalWithImages}</div>
|
||||
</div>
|
||||
<div class="stat-card">
|
||||
<div class="stat-label">Missing Alt Text</div>
|
||||
<div class="stat-value">{stats.missingAltText}</div>
|
||||
</div>
|
||||
<div class="stat-card">
|
||||
<div class="stat-label">
|
||||
Ollama Status
|
||||
<span class="status-indicator" class:status-ok={stats.ollamaAvailable} class:status-error={!stats.ollamaAvailable}></span>
|
||||
</div>
|
||||
<div class="stat-value">{stats.ollamaAvailable ? 'Online' : 'Offline'}</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{#if !stats.ollamaAvailable}
|
||||
<div class="warning">
|
||||
⚠️ Ollama is not running. Please start Ollama with: <code>ollama serve</code>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<div class="controls">
|
||||
<div class="control-group">
|
||||
<label for="filter">Filter:</label>
|
||||
<select id="filter" bind:value={filter}>
|
||||
<option value="missing">Only Missing Alt Text</option>
|
||||
<option value="all">All Recipes (Regenerate)</option>
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<div class="control-group">
|
||||
<label for="limit">Batch Size:</label>
|
||||
<input id="limit" type="number" bind:value={limit} min="1" max="100" />
|
||||
</div>
|
||||
|
||||
<button onclick={processBatch} disabled={processing || !stats.ollamaAvailable}>
|
||||
{processing ? '🔄 Processing...' : '✨ Generate Alt Texts'}
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{#if error}
|
||||
<div class="error">{error}</div>
|
||||
{/if}
|
||||
|
||||
{#if results.length > 0}
|
||||
<div class="results">
|
||||
<h2>Results</h2>
|
||||
{#each results as result}
|
||||
<div class="result-item">
|
||||
<strong>{result.name}</strong> ({result.shortName})
|
||||
<br />
|
||||
Processed: {result.processed} | Failed: {result.failed}
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
183
src/routes/api/generate-alt-text-bulk/+server.ts
Normal file
183
src/routes/api/generate-alt-text-bulk/+server.ts
Normal file
@@ -0,0 +1,183 @@
|
||||
import { json, error } from '@sveltejs/kit';
|
||||
import type { RequestHandler } from './$types';
|
||||
import { generateAltText, type RecipeContext } from '$lib/server/ai/alttext.js';
|
||||
import { checkOllamaHealth } from '$lib/server/ai/ollama.js';
|
||||
import { Recipe } from '$models/Recipe.js';
|
||||
|
||||
export const POST: RequestHandler = async ({ request, locals }) => {
|
||||
// Check authentication
|
||||
const session = await locals.auth();
|
||||
if (!session?.user) {
|
||||
throw error(401, 'Unauthorized');
|
||||
}
|
||||
|
||||
try {
|
||||
const body = await request.json();
|
||||
const { filter = 'missing', limit = 10, modelName } = body;
|
||||
|
||||
// Check if Ollama is available
|
||||
const isOllamaAvailable = await checkOllamaHealth();
|
||||
if (!isOllamaAvailable) {
|
||||
throw error(503, 'Ollama service is not available. Make sure Ollama is running.');
|
||||
}
|
||||
|
||||
// Build query based on filter
|
||||
let query: any = { images: { $exists: true, $ne: [] } };
|
||||
|
||||
if (filter === 'missing') {
|
||||
// Find recipes with images but missing alt text
|
||||
query = {
|
||||
images: {
|
||||
$elemMatch: {
|
||||
mediapath: { $exists: true },
|
||||
$or: [{ alt: { $exists: false } }, { alt: '' }],
|
||||
},
|
||||
},
|
||||
};
|
||||
} else if (filter === 'all') {
|
||||
// Process all recipes with images
|
||||
query = { images: { $exists: true, $ne: [] } };
|
||||
}
|
||||
|
||||
// Fetch recipes
|
||||
const recipes = await Recipe.find(query).limit(limit);
|
||||
|
||||
if (recipes.length === 0) {
|
||||
return json({
|
||||
success: true,
|
||||
processed: 0,
|
||||
message: 'No recipes found matching criteria',
|
||||
});
|
||||
}
|
||||
|
||||
const results: Array<{
|
||||
shortName: string;
|
||||
name: string;
|
||||
processed: number;
|
||||
failed: number;
|
||||
}> = [];
|
||||
|
||||
// Process each recipe
|
||||
for (const recipe of recipes) {
|
||||
let processed = 0;
|
||||
let failed = 0;
|
||||
|
||||
for (let i = 0; i < recipe.images.length; i++) {
|
||||
const image = recipe.images[i];
|
||||
|
||||
// Skip if alt text exists and we're only processing missing ones
|
||||
if (filter === 'missing' && image.alt) {
|
||||
continue;
|
||||
}
|
||||
|
||||
try {
|
||||
// Prepare context
|
||||
const context: RecipeContext = {
|
||||
name: recipe.name,
|
||||
category: recipe.category,
|
||||
tags: recipe.tags,
|
||||
};
|
||||
|
||||
// Generate alt text
|
||||
const altTextResult = await generateAltText(
|
||||
image.mediapath,
|
||||
context,
|
||||
modelName || 'gemma3:latest'
|
||||
);
|
||||
|
||||
// Update German alt text
|
||||
recipe.images[i].alt = altTextResult.de;
|
||||
|
||||
// Ensure translations.en.images array exists
|
||||
if (!recipe.translations) {
|
||||
recipe.translations = { en: { images: [] } };
|
||||
}
|
||||
if (!recipe.translations.en) {
|
||||
recipe.translations.en = { images: [] };
|
||||
}
|
||||
if (!recipe.translations.en.images) {
|
||||
recipe.translations.en.images = [];
|
||||
}
|
||||
|
||||
// Ensure array has enough entries
|
||||
while (recipe.translations.en.images.length <= i) {
|
||||
recipe.translations.en.images.push({ alt: '', caption: '' });
|
||||
}
|
||||
|
||||
// Update English alt text
|
||||
recipe.translations.en.images[i].alt = altTextResult.en;
|
||||
|
||||
processed++;
|
||||
} catch (err) {
|
||||
console.error(`Failed to process image ${i} for recipe ${recipe.short_name}:`, err);
|
||||
failed++;
|
||||
}
|
||||
}
|
||||
|
||||
// Save recipe if any images were processed
|
||||
if (processed > 0) {
|
||||
await recipe.save();
|
||||
}
|
||||
|
||||
results.push({
|
||||
shortName: recipe.short_name,
|
||||
name: recipe.name,
|
||||
processed,
|
||||
failed,
|
||||
});
|
||||
}
|
||||
|
||||
return json({
|
||||
success: true,
|
||||
processed: results.reduce((sum, r) => sum + r.processed, 0),
|
||||
failed: results.reduce((sum, r) => sum + r.failed, 0),
|
||||
results,
|
||||
});
|
||||
} catch (err) {
|
||||
console.error('Error in bulk alt text generation:', err);
|
||||
|
||||
if (err instanceof Error && 'status' in err) {
|
||||
throw err;
|
||||
}
|
||||
|
||||
throw error(500, err instanceof Error ? err.message : 'Failed to generate alt text');
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* GET endpoint to check status and get stats
|
||||
*/
|
||||
export const GET: RequestHandler = async ({ locals }) => {
|
||||
// Check authentication
|
||||
const session = await locals.auth();
|
||||
if (!session?.user) {
|
||||
throw error(401, 'Unauthorized');
|
||||
}
|
||||
|
||||
try {
|
||||
// Count recipes with missing alt text
|
||||
const totalWithImages = await Recipe.countDocuments({
|
||||
images: { $exists: true, $ne: [] },
|
||||
});
|
||||
|
||||
const missingAltText = await Recipe.countDocuments({
|
||||
images: {
|
||||
$elemMatch: {
|
||||
mediapath: { $exists: true },
|
||||
$or: [{ alt: { $exists: false } }, { alt: '' }],
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
// Check Ollama health
|
||||
const ollamaAvailable = await checkOllamaHealth();
|
||||
|
||||
return json({
|
||||
totalWithImages,
|
||||
missingAltText,
|
||||
ollamaAvailable,
|
||||
});
|
||||
} catch (err) {
|
||||
throw error(500, 'Failed to fetch statistics');
|
||||
}
|
||||
};
|
||||
94
src/routes/api/generate-alt-text/+server.ts
Normal file
94
src/routes/api/generate-alt-text/+server.ts
Normal file
@@ -0,0 +1,94 @@
|
||||
import { json, error } from '@sveltejs/kit';
|
||||
import type { RequestHandler } from './$types';
|
||||
import { generateAltText, type RecipeContext } from '$lib/server/ai/alttext.js';
|
||||
import { checkOllamaHealth } from '$lib/server/ai/ollama.js';
|
||||
import { Recipe } from '$models/Recipe.js';
|
||||
|
||||
export const POST: RequestHandler = async ({ request, locals }) => {
|
||||
// Check authentication
|
||||
const session = await locals.auth();
|
||||
if (!session?.user) {
|
||||
throw error(401, 'Unauthorized');
|
||||
}
|
||||
|
||||
try {
|
||||
const body = await request.json();
|
||||
const { shortName, imageIndex, modelName } = body;
|
||||
|
||||
if (!shortName || imageIndex === undefined) {
|
||||
throw error(400, 'Missing required fields: shortName and imageIndex');
|
||||
}
|
||||
|
||||
// Check if Ollama is available
|
||||
const isOllamaAvailable = await checkOllamaHealth();
|
||||
if (!isOllamaAvailable) {
|
||||
throw error(503, 'Ollama service is not available. Make sure Ollama is running.');
|
||||
}
|
||||
|
||||
// Fetch recipe from database
|
||||
const recipe = await Recipe.findOne({ short_name: shortName });
|
||||
if (!recipe) {
|
||||
throw error(404, 'Recipe not found');
|
||||
}
|
||||
|
||||
// Validate image index
|
||||
if (!recipe.images || !recipe.images[imageIndex]) {
|
||||
throw error(404, 'Image not found at specified index');
|
||||
}
|
||||
|
||||
const image = recipe.images[imageIndex];
|
||||
|
||||
// Prepare context for alt text generation
|
||||
const context: RecipeContext = {
|
||||
name: recipe.name,
|
||||
category: recipe.category,
|
||||
tags: recipe.tags,
|
||||
};
|
||||
|
||||
// Generate alt text in both languages
|
||||
const altTextResult = await generateAltText(
|
||||
image.mediapath,
|
||||
context,
|
||||
modelName || 'gemma3:latest'
|
||||
);
|
||||
|
||||
// Update recipe in database
|
||||
recipe.images[imageIndex].alt = altTextResult.de;
|
||||
|
||||
// Ensure translations.en.images array exists and has the right length
|
||||
if (!recipe.translations) {
|
||||
recipe.translations = { en: { images: [] } };
|
||||
}
|
||||
if (!recipe.translations.en) {
|
||||
recipe.translations.en = { images: [] };
|
||||
}
|
||||
if (!recipe.translations.en.images) {
|
||||
recipe.translations.en.images = [];
|
||||
}
|
||||
|
||||
// Ensure the en.images array has entries for all images
|
||||
while (recipe.translations.en.images.length <= imageIndex) {
|
||||
recipe.translations.en.images.push({ alt: '', caption: '' });
|
||||
}
|
||||
|
||||
// Update English alt text
|
||||
recipe.translations.en.images[imageIndex].alt = altTextResult.en;
|
||||
|
||||
// Save to database
|
||||
await recipe.save();
|
||||
|
||||
return json({
|
||||
success: true,
|
||||
altText: altTextResult,
|
||||
message: 'Alt text generated and saved successfully',
|
||||
});
|
||||
} catch (err) {
|
||||
console.error('Error generating alt text:', err);
|
||||
|
||||
if (err instanceof Error && 'status' in err) {
|
||||
throw err; // Re-throw SvelteKit errors
|
||||
}
|
||||
|
||||
throw error(500, err instanceof Error ? err.message : 'Failed to generate alt text');
|
||||
}
|
||||
};
|
||||
Reference in New Issue
Block a user