// 在 Node 里直接跑 DWG worker 的解析流程（带 CPU profile），用于定位热点。
// 用法：node --cpu-prof --cpu-prof-dir=/tmp/prof tools/worker-node-run.mjs <dwg> <静态资源根 URL>
import fs from 'node:fs'
import path from 'node:path'
import { pathToFileURL } from 'node:url'

const root = process.cwd()
const file = process.argv[2]
const wasmBase = process.argv[3] || 'http://127.0.0.1:8123/wasm/'
if (!file) throw new Error('需要 DWG 路径')

const messages = []
globalThis.self = {
  postMessage(msg) {
    messages.push(msg)
    if (msg.type === 'result') {
      const doc = msg.result?.document
      console.log('结果: 实体', doc?.entities?.length, '耗时', Math.round(msg.result.elapsedMs), 'ms')
      for (const m of messages.filter((x) => x.type === 'progress')) {
        console.log('  progress', m.progress.phase, '|', m.progress.message)
      }
      process.exit(0)
    }
    if (msg.type === 'error') {
      console.error('worker 错误:', msg.error)
      process.exit(1)
    }
  },
  addEventListener() {},
  removeEventListener() {}
}
globalThis.performance = performance
globalThis.window = globalThis // 让 Emscripten 走 Web 分支（用 fetch 而不是 node:module）

await import(pathToFileURL(path.join(root, 'public/wasm/dwg-worker.js')).href)

const bytes = fs.readFileSync(file)
const buf = bytes.buffer.slice(bytes.byteOffset, bytes.byteOffset + bytes.byteLength)
const started = Date.now()
await globalThis.self.onmessage({
  data: {
    requestId: 1,
    type: 'load',
    bytes: buf,
    fileName: path.basename(file),
    options: { wasmPath: wasmBase }
  }
})
console.log('总耗时', Date.now() - started, 'ms')