aiforge/web_src/js/App.vue

<template>
  <uploader 
          ref="uploader"
          :options="options" 
          :autoStart="false" 
          @file-added="onFileAdded"
          @file-success="onFileSuccess"
          @file-progress="onFileProgress"
          @file-error="onFileError"
          class="uploader-app">
    <uploader-unsupport></uploader-unsupport>
    <uploader-drop>
      <p>拖动文件</p>
      <uploader-btn>选择文件</uploader-btn>
    </uploader-drop>
    <uploader-list></uploader-list>
  </uploader>
</template>

<script>

  import SparkMD5 from 'spark-md5';
  import axios from 'axios'
  import qs from 'qs'

  const {AppSubUrl, StaticUrlPrefix, csrf} = window.config;

  export default {
    data () {
      return {
        /*options: {
          target: 'http://localhost:9000/upload',
          testChunks: false,
          chunkSize: 1024*1024*64,  //64MB
          simultaneousUploads: 1, //并发上传数
          headers: {
                'access-token': 'abcd1234'
          },
          maxChunkRetries: 3, //最大自动失败重试上传次数
            parseTimeRemaining: function (timeRemaining, parsedTimeRemaining) { //格式化时间
                return parsedTimeRemaining
                    .replace(/\syears?/, '年')
                    .replace(/\days?/, '天')
                    .replace(/\shours?/, '小时')
                    .replace(/\sminutes?/, '分钟')
                    .replace(/\sseconds?/, '秒')
            }
        },*/
        attrs: {
          accept: 'img/*'
        },
        panelShow: false,   //选择文件后，展示上传panel
        collapse: false,
        statusTextMap: {
            success: '上传成功',
            error: '上传出错了',
            uploading: '上传中...',
            paused: '暂停',
            waiting: '等待中...',
            cmd5: '计算md5...'
        },

        fileStatusText: (status, response) => {
            return this.statusTextMap[status];
        },
      }
    },
    created() {
        //const uploaderInstance = this.$refs.uploader.uploader;
    },
    methods: {
        onFileAdded(file) {
          // 计算MD5
          this.computeMD5(file);
        },
        getSuccessChunks(file) {
          return new Promise((resolve, reject) => {
            axios.get('/attachments/get_chunks', {params :{
              md5: file.uniqueIdentifier,
              _csrf: csrf
            }}).then(function (response) {
              file.uploadID = response.data.uploadID;
              file.uuid = response.data.uuid;
              file.uploaded = response.data.uploaded;
              file.chunks = response.data.chunks;
              resolve(response);
            }).catch(function (error) {
              console.log(error);
              reject(error);
            });
          })

        },
        newMultiUpload(file) {
          return new Promise((resolve, reject) => {
            axios.get('/attachments/new_multipart', {params :{
              totalChunkCounts: file.totalChunkCounts,
              md5: file.uniqueIdentifier,
              size: file.size,
              fileType: file.fileType,
              _csrf: csrf
            }}).then(function (response) {
              file.uploadID = response.data.uploadID;
              file.uuid = response.data.uuid;
              resolve(response);
            }).catch(function (error) {
              console.log(error);
              reject(error);
            });
          })
        },
        multipartUpload(file) {
          let blobSlice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice,
            chunkSize = 1024*1024*64,
            chunks = Math.ceil(file.size / chunkSize),
            currentChunk = 0,
            fileReader = new FileReader(),
            time = new Date().getTime();

          function loadNext() {
            let start = currentChunk * chunkSize;
            let end = ((start + chunkSize) >= file.size) ? file.size : start + chunkSize;

            fileReader.readAsArrayBuffer(blobSlice.call(file.file, start, end));
          }

          function checkSuccessChunks() {
            var index = successChunks.indexOf((currentChunk+1).toString())
            if (index == -1) {
              return false;
            }

            return true;
          }

          function getUploadChunkUrl(currentChunk, partSize) {
            return new Promise((resolve, reject) => {
                axios.get('/attachments/get_multipart_url', {params :{
                  uuid: file.uuid,
                  uploadID: file.uploadID,
                  size: partSize,
                  chunkNumber: currentChunk+1,
                  _csrf: csrf
                }}).then(function (response) {
                  urls[currentChunk] = response.data.url
                  resolve(response);
                }).catch(function (error) {
                  console.log(error);
                  reject(error);
                });
              })
          }

          function uploadMinio(url, e) {
            return new Promise((resolve, reject) => {
              
              axios.put(url, e.target.result
                ).then(function (res) {
                  etags[currentChunk] = res.headers.etag;
                  resolve(res);
                }).catch(function (err) {
                  console.log(err);
                  reject(err);
                });
            });
          }

          function updateChunk(currentChunk) {
            return new Promise((resolve, reject) => {
                axios.post('/attachments/update_chunk', qs.stringify({
                  uuid: file.uuid,
                  chunkNumber: currentChunk+1,
                  etag: etags[currentChunk],
                  _csrf: csrf
                })).then(function (response) {
                  resolve(response);
                }).catch(function (error) {
                  console.log(error);
                  reject(error);
                });
              })
          }

          async function uploadChunk(e) {
            if (!checkSuccessChunks()) {
              let start = currentChunk * chunkSize;
              let partSize = ((start + chunkSize) >= file.size) ? file.size -start : chunkSize;

              //获取分片上传url
              await getUploadChunkUrl(currentChunk, partSize);
              if (urls[currentChunk] != "") {
                //上传到minio
                await uploadMinio(urls[currentChunk], e);
                if (etags[currentChunk] != "") {
                  //更新数据库：分片上传结果
                  await updateChunk(currentChunk);
                } else {
                  return;
                }
              } else {
                return;
              }
              
            }
            
          };

          function completeUpload(){
            return new Promise((resolve, reject) => {
                axios.post('/attachments/complete_multipart', qs.stringify({
                  uuid: file.uuid,
                  uploadID: file.uploadID,
                  file_name: file.name,
                  size: file.size,
                  //dataset_id: datasetID,
                  _csrf: csrf
                })).then(function (response) {
                  resolve(response);
                }).catch(function (error) {
                  console.log(error);
                  reject(error);
                });
              })
          }

          function upload() {
            loadNext();
            fileReader.onload = async (e) => {
              await uploadChunk(e);
              currentChunk++;
        
              if (currentChunk < chunks) {
                  console.log(`第${currentChunk}个分片上传完成, 开始第${currentChunk +1}/${chunks}个分片上传`);
                  await loadNext();
              } else {
                  //console.log(dataset_id)
                  await completeUpload();
                  console.log(`文件上传完成：${file.name} \n分片：${chunks} 大小:${file.size} 用时：${(new Date().getTime() - time)/1000} s`);
                  //window.location.reload();
              }
            };
          }

          var successChunks = new Array();
          var successParts = new Array();
          successParts = file.chunks.split(",");
          for (let i = 0; i < successParts.length; i++) {
            successChunks[i] = successParts[i].split("-")[0].split("\"")[1];
          }
          
          var urls = new Array();
          var etags = new Array();

          console.log('上传分片...');
          
          upload();

        },
        chkMd5(file) {
            let time = new Date().getTime();
            let fileReader = new FileReader();
            let spark = new SparkMD5(); //创建md5对象（基于SparkMD5）
            fileReader.readAsBinaryString(file.file);
            console.log('开始计算MD5...')
            //文件读取完毕之后的处理
            fileReader.onload = (e) => {
                spark.appendBinary(e.target.result);
                let md5 = spark.end(); 
                console.log(`MD5计算完成：${file.name} \nMD5：${md5} \n用时：${new Date().getTime() - time} ms`);
                spark.destroy();
            };
        },
        //计算MD5
        computeMD5(file) {
            let blobSlice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice,
                chunkSize = 1024*1024*64,
                chunks = Math.ceil(file.size / chunkSize),
                currentChunk = 0,
                spark = new SparkMD5.ArrayBuffer(),
                fileReader = new FileReader();

            let time = new Date().getTime();

            console.log('计算MD5...')
            file.cmd5 = true;
            file.totalChunkCounts = chunks;
            loadNext();

            fileReader.onload = (e) => {
                spark.append(e.target.result);   // Append array buffer
                currentChunk++;
         
                if (currentChunk < chunks) {
                    console.log(`第${currentChunk}分片解析完成, 开始第${currentChunk +1}/${chunks}分片解析`);
                    // let percent = Math.floor(currentChunk / chunks * 100);
                    // console.log(percent);
                    // file.cmd5progress = percent;
                    loadNext();
                } else {
                    let md5 = spark.end();
                    console.log(`MD5计算完成：${file.name} \nMD5：${md5} \n分片：${chunks} 大小:${file.size} 用时：${(new Date().getTime() - time)/1000} s`);
                    spark.destroy(); //释放缓存
                    file.uniqueIdentifier = md5; //将文件md5赋值给文件唯一标识
                    file.cmd5 = false; //取消计算md5状态

                    this.computeMD5Success(file);
                }
            };

            fileReader.onerror = () => {
                console.warn('oops, something went wrong.');
                file.cancel();
            };
         
            function loadNext() {
                let start = currentChunk * chunkSize;
                let end = ((start + chunkSize) >= file.size) ? file.size : start + chunkSize;

                fileReader.readAsArrayBuffer(blobSlice.call(file.file, start, end));
            }
        },
        async computeMD5Success(file) {
            await this.getSuccessChunks(file);
            
            if (file.uploadID == "" || file.uuid == "") { //未上传过
              await this.newMultiUpload(file);
              if (file.uploadID != "" && file.uuid != "") {
                file.chunks = "";
                this.multipartUpload(file);
              } else {
                return;
              }
            } else {
              if (file.uploaded == "1") {  //已上传成功
                //秒传
                console.log("文件已上传完成");
                //window.location.reload();
              } else {
                //断点续传
                this.multipartUpload(file);
              }
            }
        },
        // 文件进度的回调
        onFileProgress(rootFile, file, chunk) {
            console.log(`上传中 ${file.name}，chunk：${chunk.startByte / 1024 / 1024} ~ ${chunk.endByte / 1024 / 1024}`)
        },
        onFileSuccess(rootFile, file, response, chunk) {
            let resp = JSON.parse(response);
            if (resp.code === 0 && resp.merge === false) {
                console.log('上传成功，不需要合并');
            } else {
                axios.post('http://localhost:9999/up.php?action=merge', {
                    filename: file.name,
                    identifier: file.uniqueIdentifier,
                    totalSize: file.size,
                    totalChunks: chunk.offset + 1
                }).then(function(res){
                    if (res.code === 0) {
                        console.log('上传成功')
                    } else {
                        console.log(res.message);
                    }
                })
                .catch(function(error){
                    console.log(error);
                });
            }
        },

        onFileError(rootFile, file, response, chunk) {
            console.log('Error:', response)
        },
    }
  }
</script>

<style>
  .uploader-app {
    width: 850px;
    padding: 15px;
    margin: 40px auto 0;
    font-size: 12px;
    box-shadow: 0 0 10px rgba(0, 0, 0, .4);
  }
  .uploader-app .uploader-btn {
    margin-right: 40px;
  }
  .uploader-app .uploader-list {
    max-height: 440px;
    overflow: auto;
    overflow-x: hidden;
    overflow-y: auto;
  }
</style>