import * as os from 'node:os';
import * as pty from 'node-pty';

const shell = os.platform() === 'win32' ? 'powershell.exe' : 'zsh';

const ptyProcess = pty.spawn(shell, ['-il'], {
  name: 'xterm-color',
  cols: 80,
  rows: 30,
  cwd: process.env.HOME,
  env: process.env
}) as any;

ptyProcess.onData((data) => {
  process.stdout.write(data);
});

ptyProcess.resize(100, 40);
/**
 * Splits incoming pty data into chunks to try prevent data corruption that could occur when pasting
 * large amounts of data.
 */
export function chunkInput(data: string): string[] {
	const chunks: string[] = [];
	let nextChunkStartIndex = 0;
	for (let i = 0; i < data.length - 1; i++) {
		if (
			// If the max chunk size is reached
			i - nextChunkStartIndex + 1 >= 50 ||
			// If the next character is ESC, send the pending data to avoid splitting the escape
			// sequence.
			data[i + 1] === '\x1b'
		) {
			chunks.push(data.substring(nextChunkStartIndex, i + 1));
			nextChunkStartIndex = i + 1;
			// Skip the next character as the chunk would be a single character
			i++;
		}
	}
	// Push final chunk
	if (nextChunkStartIndex !== data.length) {
		chunks.push(data.substring(nextChunkStartIndex));
	}
	return chunks;
}


const messages = "\"Migrate AI calls from frontend direct calls to backend API with streaming implementation\n\nMain changes:\n- Create new backend AI API interface (api/ai.ts)\n  - Implement streaming AI response endpoint /api/ai/stream\n  - Implement non-streaming AI response endpoint /api/ai/chat (compatibility)\n  - Support Server-Sent Events (SSE) streaming transmission\n  - Add comprehensive error handling and state management\n\n- Update API main file (api/index.ts)\n  - Add AI-related route configuration\n  - Integrate new AI service interfaces\n\n- Create frontend AI service layer (src/services/aiService.ts)\n  - Implement streaming AI response client\n  - Support event-driven streaming data processing\n  - Provide non-streaming API compatibility interface\n  - Add service health check functionality\n\n- Refactor frontend AI call logic (src/pages/Home.tsx)\n  - Replace direct Gemini calls with backend API calls\n  - Implement true streaming response handling\n  - Optimize user experience with real-time streaming display\n  - Maintain original typewriter effects and UI interactions\n\n- Configuration optimization\n  - Update Vite configuration to add API proxy settings\n  - Add dotenv dependency for environment variable loading\n  - Ensure proper frontend and backend environment variable configuration\n\nTechnical improvements:\n- Enhanced security: API keys used only on backend\n- Improved performance: streaming responses reduce wait time\n- Better user experience: real-time AI content display\n- Higher maintainability: separation of frontend and backend responsibilities\"";

const commands = chunkInput(messages);
commands.forEach((command) => {
  ptyProcess.write(command);
});