Open source vector database with HNSW indexing, graph relationships, and metadata facets. Features CLI with professional augmentation registry integration for discovering extensions and capabilities.
47 lines
1.3 KiB
JavaScript
47 lines
1.3 KiB
JavaScript
import fs from 'fs';
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import path from 'path';
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import { fileURLToPath } from 'url';
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// Get the directory of the current module
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = path.dirname(__filename);
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// Path to the image file
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const imagePath = path.join(__dirname, '..', 'brainy.png');
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// Read the image file
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const imageBuffer = fs.readFileSync(imagePath);
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// Convert the image to base64
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const base64Image = imageBuffer.toString('base64');
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// Get the MIME type based on file extension
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const getMimeType = (filePath) => {
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const ext = path.extname(filePath).toLowerCase();
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switch (ext) {
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case '.png':
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return 'image/png';
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case '.jpg':
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case '.jpeg':
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return 'image/jpeg';
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case '.gif':
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return 'image/gif';
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case '.svg':
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return 'image/svg+xml';
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default:
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return 'application/octet-stream';
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}
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};
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const mimeType = getMimeType(imagePath);
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// Create the data URL
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const dataUrl = `data:${mimeType};base64,${base64Image}`;
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// Output the complete HTML img tag
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const imgTag = `<img src="${dataUrl}" alt="Brainy Logo" width="200"/>`;
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// Write to a file instead of console.log to avoid truncation
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fs.writeFileSync(path.join(__dirname, '..', 'encoded-image.html'), imgTag);
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console.log('Base64 encoded image has been saved to encoded-image.html');
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