85bf1341f3
Frontend Enhancements: - Complete React TypeScript frontend with modern UI components - Distributed workflows management interface with real-time updates - Socket.IO integration for live agent status monitoring - Agent management dashboard with cluster visualization - Project management interface with metrics and task tracking - Responsive design with proper error handling and loading states Backend Infrastructure: - Distributed coordinator for multi-agent workflow orchestration - Cluster management API with comprehensive agent operations - Enhanced database models for agents and projects - Project service for filesystem-based project discovery - Performance monitoring and metrics collection - Comprehensive API documentation and error handling Documentation: - Complete distributed development guide (README_DISTRIBUTED.md) - Comprehensive development report with architecture insights - System configuration templates and deployment guides The platform now provides a complete web interface for managing the distributed AI cluster with real-time monitoring, workflow orchestration, and agent coordination capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
65 lines
2.2 KiB
JavaScript
65 lines
2.2 KiB
JavaScript
"use strict";Object.defineProperty(exports, "__esModule", {value: true});var _base = require('../traverser/base');
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var _charcodes = require('../util/charcodes');
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var _identifier = require('../util/identifier');
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var _index = require('./index');
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var _readWordTree = require('./readWordTree');
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var _types = require('./types');
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/**
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* Read an identifier, producing either a name token or matching on one of the existing keywords.
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* For performance, we pre-generate big decision tree that we traverse. Each node represents a
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* prefix and has 27 values, where the first value is the token or contextual token, if any (-1 if
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* not), and the other 26 values are the transitions to other nodes, or -1 to stop.
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*/
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function readWord() {
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let treePos = 0;
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let code = 0;
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let pos = _base.state.pos;
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while (pos < _base.input.length) {
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code = _base.input.charCodeAt(pos);
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if (code < _charcodes.charCodes.lowercaseA || code > _charcodes.charCodes.lowercaseZ) {
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break;
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}
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const next = _readWordTree.READ_WORD_TREE[treePos + (code - _charcodes.charCodes.lowercaseA) + 1];
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if (next === -1) {
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break;
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} else {
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treePos = next;
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pos++;
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}
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}
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const keywordValue = _readWordTree.READ_WORD_TREE[treePos];
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if (keywordValue > -1 && !_identifier.IS_IDENTIFIER_CHAR[code]) {
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_base.state.pos = pos;
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if (keywordValue & 1) {
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_index.finishToken.call(void 0, keywordValue >>> 1);
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} else {
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_index.finishToken.call(void 0, _types.TokenType.name, keywordValue >>> 1);
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}
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return;
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}
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while (pos < _base.input.length) {
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const ch = _base.input.charCodeAt(pos);
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if (_identifier.IS_IDENTIFIER_CHAR[ch]) {
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pos++;
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} else if (ch === _charcodes.charCodes.backslash) {
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// \u
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pos += 2;
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if (_base.input.charCodeAt(pos) === _charcodes.charCodes.leftCurlyBrace) {
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while (pos < _base.input.length && _base.input.charCodeAt(pos) !== _charcodes.charCodes.rightCurlyBrace) {
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pos++;
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}
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pos++;
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}
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} else if (ch === _charcodes.charCodes.atSign && _base.input.charCodeAt(pos + 1) === _charcodes.charCodes.atSign) {
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pos += 2;
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} else {
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break;
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}
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}
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_base.state.pos = pos;
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_index.finishToken.call(void 0, _types.TokenType.name);
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} exports.default = readWord;
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