d7ad321176
This comprehensive implementation includes: - FastAPI backend with MCP server integration - React/TypeScript frontend with Vite - PostgreSQL database with Redis caching - Grafana/Prometheus monitoring stack - Docker Compose orchestration - Full MCP protocol support for Claude Code integration Features: - Agent discovery and management across network - Visual workflow editor and execution engine - Real-time task coordination and monitoring - Multi-model support with specialized agents - Distributed development task allocation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
45 lines
1.2 KiB
JavaScript
45 lines
1.2 KiB
JavaScript
import speedometer from "./speedometer.js";
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import throttle from "./throttle.js";
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import utils from "../utils.js";
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export const progressEventReducer = (listener, isDownloadStream, freq = 3) => {
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let bytesNotified = 0;
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const _speedometer = speedometer(50, 250);
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return throttle(e => {
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const loaded = e.loaded;
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const total = e.lengthComputable ? e.total : undefined;
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const progressBytes = loaded - bytesNotified;
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const rate = _speedometer(progressBytes);
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const inRange = loaded <= total;
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bytesNotified = loaded;
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const data = {
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loaded,
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total,
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progress: total ? (loaded / total) : undefined,
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bytes: progressBytes,
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rate: rate ? rate : undefined,
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estimated: rate && total && inRange ? (total - loaded) / rate : undefined,
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event: e,
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lengthComputable: total != null,
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[isDownloadStream ? 'download' : 'upload']: true
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};
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listener(data);
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}, freq);
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}
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export const progressEventDecorator = (total, throttled) => {
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const lengthComputable = total != null;
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return [(loaded) => throttled[0]({
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lengthComputable,
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total,
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loaded
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}), throttled[1]];
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}
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export const asyncDecorator = (fn) => (...args) => utils.asap(() => fn(...args));
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