self.importScripts("/spark-md5.min.js"); // 导入脚本 // 生成文件 hash self.onmessage = e => { const { fileChunkList } = e.data; const spark = new self.SparkMD5.ArrayBuffer(); let percentage = 0; let count = 0; const loadNext = index => { const reader = new FileReader(); reader.readAsArrayBuffer(fileChunkList[index].file); reader.onload = e => { count++; spark.append(e.target.result); if (count === fileChunkList.length) { self.postMessage({ percentage: 100, hash: spark.end() }); self.close(); } else { percentage += 100 / fileChunkList.length; self.postMessage({ percentage }); loadNext(count); } }; }; loadNext(0); };