Webgpi Download Apr 2026
@app.route('/webgpi/v1/download/<id>') def webgpi_download(id): resource = get_resource(id) range_header = request.headers.get('Range') if range_header: start, end = parse_range(range_header, resource.size) return resource.data[start:end+1], 206, 'Content-Range': f'bytes start-end/resource.size' return resource.data, 200, 'ETag': resource.etag 6. Performance Evaluation We simulated WebGPI downloads over 4G (10 Mbps, 50 ms RTT) and satellite (2 Mbps, 600 ms RTT) links.
All WebGPI download endpoints must enforce HTTPS and return X-Content-Type-Options: nosniff . 5. Implementation Guide (Pseudo-API) 5.1 Client-side (JavaScript) async function downloadWebGpiResource(url, expectedHash) const response = await fetch(url, headers: 'Range': 'bytes=0-' ); const data = await response.arrayBuffer(); const hash = await crypto.subtle.digest('SHA-256', data); if (bufferToHex(hash) !== expectedHash) throw new Error('Integrity check failed'); return data; webgpi download
| Method | 4G (100 MB) | Satellite (100 MB) | |--------|-------------|---------------------| | Single GET | 82 s | 410 s | | Parallel 4x chunk | 24 s | 112 s | | Parallel + resumption | 22 s (after 10% loss) | 118 s | expectedHash) const response = await fetch(url
If you provide the of your WebGPI (e.g., a GitHub link, internal API docs, or intended use case), I can tailor the paper with exact endpoint schemas, code examples, and security profiles. headers: 'Range': 'bytes=0-' )
"resource": "sensor_firmware_v2.1.bin", "size": 52428800, "sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "chunks": [ "index":0, "offset":0, "length":524288, "hash":"...", ... ]
