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>
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								mcp-server/node_modules/axios/lib/helpers/AxiosTransformStream.js
									
									
									
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								mcp-server/node_modules/axios/lib/helpers/AxiosTransformStream.js
									
									
									
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							| @@ -0,0 +1,143 @@ | ||||
| 'use strict'; | ||||
|  | ||||
| import stream from 'stream'; | ||||
| import utils from '../utils.js'; | ||||
|  | ||||
| const kInternals = Symbol('internals'); | ||||
|  | ||||
| class AxiosTransformStream extends stream.Transform{ | ||||
|   constructor(options) { | ||||
|     options = utils.toFlatObject(options, { | ||||
|       maxRate: 0, | ||||
|       chunkSize: 64 * 1024, | ||||
|       minChunkSize: 100, | ||||
|       timeWindow: 500, | ||||
|       ticksRate: 2, | ||||
|       samplesCount: 15 | ||||
|     }, null, (prop, source) => { | ||||
|       return !utils.isUndefined(source[prop]); | ||||
|     }); | ||||
|  | ||||
|     super({ | ||||
|       readableHighWaterMark: options.chunkSize | ||||
|     }); | ||||
|  | ||||
|     const internals = this[kInternals] = { | ||||
|       timeWindow: options.timeWindow, | ||||
|       chunkSize: options.chunkSize, | ||||
|       maxRate: options.maxRate, | ||||
|       minChunkSize: options.minChunkSize, | ||||
|       bytesSeen: 0, | ||||
|       isCaptured: false, | ||||
|       notifiedBytesLoaded: 0, | ||||
|       ts: Date.now(), | ||||
|       bytes: 0, | ||||
|       onReadCallback: null | ||||
|     }; | ||||
|  | ||||
|     this.on('newListener', event => { | ||||
|       if (event === 'progress') { | ||||
|         if (!internals.isCaptured) { | ||||
|           internals.isCaptured = true; | ||||
|         } | ||||
|       } | ||||
|     }); | ||||
|   } | ||||
|  | ||||
|   _read(size) { | ||||
|     const internals = this[kInternals]; | ||||
|  | ||||
|     if (internals.onReadCallback) { | ||||
|       internals.onReadCallback(); | ||||
|     } | ||||
|  | ||||
|     return super._read(size); | ||||
|   } | ||||
|  | ||||
|   _transform(chunk, encoding, callback) { | ||||
|     const internals = this[kInternals]; | ||||
|     const maxRate = internals.maxRate; | ||||
|  | ||||
|     const readableHighWaterMark = this.readableHighWaterMark; | ||||
|  | ||||
|     const timeWindow = internals.timeWindow; | ||||
|  | ||||
|     const divider = 1000 / timeWindow; | ||||
|     const bytesThreshold = (maxRate / divider); | ||||
|     const minChunkSize = internals.minChunkSize !== false ? Math.max(internals.minChunkSize, bytesThreshold * 0.01) : 0; | ||||
|  | ||||
|     const pushChunk = (_chunk, _callback) => { | ||||
|       const bytes = Buffer.byteLength(_chunk); | ||||
|       internals.bytesSeen += bytes; | ||||
|       internals.bytes += bytes; | ||||
|  | ||||
|       internals.isCaptured && this.emit('progress', internals.bytesSeen); | ||||
|  | ||||
|       if (this.push(_chunk)) { | ||||
|         process.nextTick(_callback); | ||||
|       } else { | ||||
|         internals.onReadCallback = () => { | ||||
|           internals.onReadCallback = null; | ||||
|           process.nextTick(_callback); | ||||
|         }; | ||||
|       } | ||||
|     } | ||||
|  | ||||
|     const transformChunk = (_chunk, _callback) => { | ||||
|       const chunkSize = Buffer.byteLength(_chunk); | ||||
|       let chunkRemainder = null; | ||||
|       let maxChunkSize = readableHighWaterMark; | ||||
|       let bytesLeft; | ||||
|       let passed = 0; | ||||
|  | ||||
|       if (maxRate) { | ||||
|         const now = Date.now(); | ||||
|  | ||||
|         if (!internals.ts || (passed = (now - internals.ts)) >= timeWindow) { | ||||
|           internals.ts = now; | ||||
|           bytesLeft = bytesThreshold - internals.bytes; | ||||
|           internals.bytes = bytesLeft < 0 ? -bytesLeft : 0; | ||||
|           passed = 0; | ||||
|         } | ||||
|  | ||||
|         bytesLeft = bytesThreshold - internals.bytes; | ||||
|       } | ||||
|  | ||||
|       if (maxRate) { | ||||
|         if (bytesLeft <= 0) { | ||||
|           // next time window | ||||
|           return setTimeout(() => { | ||||
|             _callback(null, _chunk); | ||||
|           }, timeWindow - passed); | ||||
|         } | ||||
|  | ||||
|         if (bytesLeft < maxChunkSize) { | ||||
|           maxChunkSize = bytesLeft; | ||||
|         } | ||||
|       } | ||||
|  | ||||
|       if (maxChunkSize && chunkSize > maxChunkSize && (chunkSize - maxChunkSize) > minChunkSize) { | ||||
|         chunkRemainder = _chunk.subarray(maxChunkSize); | ||||
|         _chunk = _chunk.subarray(0, maxChunkSize); | ||||
|       } | ||||
|  | ||||
|       pushChunk(_chunk, chunkRemainder ? () => { | ||||
|         process.nextTick(_callback, null, chunkRemainder); | ||||
|       } : _callback); | ||||
|     }; | ||||
|  | ||||
|     transformChunk(chunk, function transformNextChunk(err, _chunk) { | ||||
|       if (err) { | ||||
|         return callback(err); | ||||
|       } | ||||
|  | ||||
|       if (_chunk) { | ||||
|         transformChunk(_chunk, transformNextChunk); | ||||
|       } else { | ||||
|         callback(null); | ||||
|       } | ||||
|     }); | ||||
|   } | ||||
| } | ||||
|  | ||||
| export default AxiosTransformStream; | ||||
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