Files
hive/mcp-server/node_modules/axios/lib/helpers/speedometer.js
anthonyrawlins d7ad321176 Initial commit: Complete Hive distributed AI orchestration platform
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>
2025-07-07 21:44:31 +10:00

56 lines
1.1 KiB
JavaScript

'use strict';
/**
* Calculate data maxRate
* @param {Number} [samplesCount= 10]
* @param {Number} [min= 1000]
* @returns {Function}
*/
function speedometer(samplesCount, min) {
samplesCount = samplesCount || 10;
const bytes = new Array(samplesCount);
const timestamps = new Array(samplesCount);
let head = 0;
let tail = 0;
let firstSampleTS;
min = min !== undefined ? min : 1000;
return function push(chunkLength) {
const now = Date.now();
const startedAt = timestamps[tail];
if (!firstSampleTS) {
firstSampleTS = now;
}
bytes[head] = chunkLength;
timestamps[head] = now;
let i = tail;
let bytesCount = 0;
while (i !== head) {
bytesCount += bytes[i++];
i = i % samplesCount;
}
head = (head + 1) % samplesCount;
if (head === tail) {
tail = (tail + 1) % samplesCount;
}
if (now - firstSampleTS < min) {
return;
}
const passed = startedAt && now - startedAt;
return passed ? Math.round(bytesCount * 1000 / passed) : undefined;
};
}
export default speedometer;