Files
hive/frontend/node_modules/framer-motion/dist/es/frameloop/batcher.mjs
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

61 lines
1.8 KiB
JavaScript

import { createRenderStep } from './render-step.mjs';
const stepsOrder = [
"prepare",
"read",
"update",
"preRender",
"render",
"postRender",
];
const maxElapsed = 40;
function createRenderBatcher(scheduleNextBatch, allowKeepAlive) {
let runNextFrame = false;
let useDefaultElapsed = true;
const state = {
delta: 0,
timestamp: 0,
isProcessing: false,
};
const steps = stepsOrder.reduce((acc, key) => {
acc[key] = createRenderStep(() => (runNextFrame = true));
return acc;
}, {});
const processStep = (stepId) => steps[stepId].process(state);
const processBatch = () => {
const timestamp = performance.now();
runNextFrame = false;
state.delta = useDefaultElapsed
? 1000 / 60
: Math.max(Math.min(timestamp - state.timestamp, maxElapsed), 1);
state.timestamp = timestamp;
state.isProcessing = true;
stepsOrder.forEach(processStep);
state.isProcessing = false;
if (runNextFrame && allowKeepAlive) {
useDefaultElapsed = false;
scheduleNextBatch(processBatch);
}
};
const wake = () => {
runNextFrame = true;
useDefaultElapsed = true;
if (!state.isProcessing) {
scheduleNextBatch(processBatch);
}
};
const schedule = stepsOrder.reduce((acc, key) => {
const step = steps[key];
acc[key] = (process, keepAlive = false, immediate = false) => {
if (!runNextFrame)
wake();
return step.schedule(process, keepAlive, immediate);
};
return acc;
}, {});
const cancel = (process) => stepsOrder.forEach((key) => steps[key].cancel(process));
return { schedule, cancel, state, steps };
}
export { createRenderBatcher, stepsOrder };