dataflow-rs 2.1.5

A lightweight rules engine for building IFTTT-style automation and data processing pipelines in Rust. Define rules with JSONLogic conditions, execute actions, and chain workflows.
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import { Component, type ReactNode, type ErrorInfo } from 'react';

interface ErrorBoundaryProps {
  children: ReactNode;
  fallback?: ReactNode;
}

interface ErrorBoundaryState {
  hasError: boolean;
  error: Error | null;
}

/**
 * Error boundary component to catch and display errors in child components
 */
export class ErrorBoundary extends Component<ErrorBoundaryProps, ErrorBoundaryState> {
  constructor(props: ErrorBoundaryProps) {
    super(props);
    this.state = { hasError: false, error: null };
  }

  static getDerivedStateFromError(error: Error): ErrorBoundaryState {
    return { hasError: true, error };
  }

  componentDidCatch(error: Error, errorInfo: ErrorInfo): void {
    console.error('ErrorBoundary caught an error:', error, errorInfo);
  }

  render(): ReactNode {
    if (this.state.hasError) {
      if (this.props.fallback) {
        return this.props.fallback;
      }

      return (
        <div className="df-error-boundary">
          <div className="df-error-boundary-content">
            <h3 className="df-error-boundary-title">Something went wrong</h3>
            <p className="df-error-boundary-message">
              {this.state.error?.message || 'An unexpected error occurred'}
            </p>
            <button
              className="df-error-boundary-button"
              onClick={() => this.setState({ hasError: false, error: null })}
            >
              Try again
            </button>
          </div>
        </div>
      );
    }

    return this.props.children;
  }
}