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>
93 lines
2.9 KiB
JavaScript
93 lines
2.9 KiB
JavaScript
import { invariant } from './errors.mjs';
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import { color } from '../value/types/color/index.mjs';
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import { clamp } from './clamp.mjs';
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import { mix } from './mix.mjs';
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import { mixColor } from './mix-color.mjs';
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import { mixComplex, mixArray, mixObject } from './mix-complex.mjs';
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import { pipe } from './pipe.mjs';
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import { progress } from './progress.mjs';
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import { noop } from './noop.mjs';
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const mixNumber = (from, to) => (p) => mix(from, to, p);
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function detectMixerFactory(v) {
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if (typeof v === "number") {
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return mixNumber;
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}
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else if (typeof v === "string") {
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return color.test(v) ? mixColor : mixComplex;
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}
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else if (Array.isArray(v)) {
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return mixArray;
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}
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else if (typeof v === "object") {
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return mixObject;
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}
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return mixNumber;
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}
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function createMixers(output, ease, customMixer) {
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const mixers = [];
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const mixerFactory = customMixer || detectMixerFactory(output[0]);
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const numMixers = output.length - 1;
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for (let i = 0; i < numMixers; i++) {
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let mixer = mixerFactory(output[i], output[i + 1]);
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if (ease) {
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const easingFunction = Array.isArray(ease) ? ease[i] || noop : ease;
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mixer = pipe(easingFunction, mixer);
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}
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mixers.push(mixer);
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}
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return mixers;
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}
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/**
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* Create a function that maps from a numerical input array to a generic output array.
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*
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* Accepts:
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* - Numbers
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* - Colors (hex, hsl, hsla, rgb, rgba)
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* - Complex (combinations of one or more numbers or strings)
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*
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* ```jsx
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* const mixColor = interpolate([0, 1], ['#fff', '#000'])
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*
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* mixColor(0.5) // 'rgba(128, 128, 128, 1)'
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* ```
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*
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* TODO Revist this approach once we've moved to data models for values,
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* probably not needed to pregenerate mixer functions.
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*
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* @public
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*/
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function interpolate(input, output, { clamp: isClamp = true, ease, mixer } = {}) {
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const inputLength = input.length;
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invariant(inputLength === output.length, "Both input and output ranges must be the same length");
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/**
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* If we're only provided a single input, we can just make a function
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* that returns the output.
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*/
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if (inputLength === 1)
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return () => output[0];
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// If input runs highest -> lowest, reverse both arrays
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if (input[0] > input[inputLength - 1]) {
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input = [...input].reverse();
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output = [...output].reverse();
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}
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const mixers = createMixers(output, ease, mixer);
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const numMixers = mixers.length;
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const interpolator = (v) => {
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let i = 0;
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if (numMixers > 1) {
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for (; i < input.length - 2; i++) {
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if (v < input[i + 1])
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break;
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}
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}
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const progressInRange = progress(input[i], input[i + 1], v);
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return mixers[i](progressInRange);
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};
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return isClamp
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? (v) => interpolator(clamp(input[0], input[inputLength - 1], v))
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: interpolator;
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}
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export { interpolate };
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