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