ddcAdmin/node_modules/.cache/babel-loader/2b5e62d3926a5ec458d3707e8f056bab.json

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md5 from 'js-md5'; //引入MD5加密\r\nimport { upload } from '@/api/upload.js'; // 这里指前端调用接口的api方法\r\nexport const uploadByPieces = ({ file, pieceSize = 2, success, error, uploading }) => {\r\n  // 如果文件传入为空直接 return 返回\r\n  if (!file) return;\r\n  let fileMD5 = ''; // 总文件列表\r\n  const chunkSize = pieceSize * 1024 * 1024; // 5MB一片\r\n  const chunkCount = Math.ceil(file.size / chunkSize); // 总片数\r\n  // 获取md5\r\n  const readFileMD5 = () => {\r\n    // 读取视频文件的md5\r\n    console.log('获取文件的MD5值');\r\n    let fileRederInstance = new FileReader();\r\n    console.log('file', file);\r\n    fileRederInstance.readAsBinaryString(file);\r\n    fileRederInstance.addEventListener('load', (e) => {\r\n      let fileBolb = e.target.result;\r\n      fileMD5 = md5(fileBolb);\r\n      console.log('fileMD5', fileMD5);\r\n      console.log('文件未被上传，将分片上传');\r\n      readChunkMD5();\r\n    });\r\n  };\r\n  const getChunkInfo = (file, currentChunk, chunkSize) => {\r\n    let start = currentChunk * chunkSize;\r\n    let end = Math.min(file.size, start + chunkSize);\r\n    let chunk = file.slice(start, end);\r\n    return { start, end, chunk };\r\n  };\r\n  // 针对每个文件进行chunk处理\r\n  const readChunkMD5 = async () => {\r\n    // 针对单个文件进行chunk上传\r\n    for (var i = 0; i < chunkCount; i++) {\r\n      const { chunk } = getChunkInfo(file, i, chunkSize);\r\n      console.log('总片数' + chunkCount);\r\n      console.log('分片后的数据---测试：' + i);\r\n      await uploadChunk({ chunk, currentChunk: i, chunkCount });\r\n    }\r\n  };\r\n  const uploadChunk = (chunkInfo) => {\r\n    // progressFun()\r\n    return new Promise((resolver, reject) => {\r\n      let config = {\r\n        headers: {\r\n          'Content-Type': 'multipart/form-data',\r\n        },\r\n      };\r\n      // 创建formData对象，下面是结合不同项目给后端传入的对象。\r\n      let fetchForm = new FormData();\r\n      fetchForm.append('chunkNumber', chunkInfo.currentChunk + 1); // 第几片\r\n      fetchForm.append('chunkSize', chunkSize); // 分片大小的限制  例如限制 5M\r\n      fetchForm.append('currentChunkSize', chunkInfo.chunk.size); // 每一片的大小\r\n      fetchForm.append('file', chunkInfo.chunk); //每一片的文件\r\n      fetchForm.append('filename', file.name); // 文件名\r\n      fetchForm.append('totalChunks', chunkInfo.chunkCount); //总片数\r\n      fetchForm.append('md5', fileMD5);\r\n      upload(fetchForm, config)\r\n        .then((res) => {\r\n          console.log('分片上传返回信息：', res);\r\n          if (res.data.code == 1) {\r\n            // // 结合不同项目 将成功的信息返回出去\r\n            // 下面如果在项目中没有用到可以不用打开注释\r\n            uploading(chunkInfo.currentChunk + 1, chunkInfo.chunkCount);\r\n            resolver(true);\r\n          } else if (res.data.code == 2) {\r\n            if (chunkInfo.currentChunk < chunkInfo.chunkCount - 1) {\r\n              console.log('分片上传成功');\r\n            } else {\r\n              // 当总数大于等于分片个数的时候\r\n              if (chunkInfo.currentChunk + 1 == chunkInfo.chunkCount) {\r\n                console.log('文件开始------合并成功');\r\n                success(res.data);\r\n              }\r\n            }\r\n          }\r\n        })\r\n        .catch((e) => {\r\n          error && error(e);\r\n        });\r\n    });\r\n  };\r\n  readFileMD5(); // 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