Files
hive/frontend/node_modules/d3-scale/src/ordinal.js
anthonyrawlins 85bf1341f3 Add comprehensive frontend UI and distributed infrastructure
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>
2025-07-10 08:41:59 +10:00

47 lines
1.1 KiB
JavaScript

import {InternMap} from "d3-array";
import {initRange} from "./init.js";
export const implicit = Symbol("implicit");
export default function ordinal() {
var index = new InternMap(),
domain = [],
range = [],
unknown = implicit;
function scale(d) {
let i = index.get(d);
if (i === undefined) {
if (unknown !== implicit) return unknown;
index.set(d, i = domain.push(d) - 1);
}
return range[i % range.length];
}
scale.domain = function(_) {
if (!arguments.length) return domain.slice();
domain = [], index = new InternMap();
for (const value of _) {
if (index.has(value)) continue;
index.set(value, domain.push(value) - 1);
}
return scale;
};
scale.range = function(_) {
return arguments.length ? (range = Array.from(_), scale) : range.slice();
};
scale.unknown = function(_) {
return arguments.length ? (unknown = _, scale) : unknown;
};
scale.copy = function() {
return ordinal(domain, range).unknown(unknown);
};
initRange.apply(scale, arguments);
return scale;
}