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<template> <input type="file" @change="handleFileSelect" /> <div>{{ uploadStatus }}</div> <progress v-if="uploadProgress > 0" max="100" :value="uploadProgress">{{ uploadProgress }}%</progress> <button v-if="isUploading" @click="handleCancelUpload">Cancel Upload</button> </template> <script> import { ref } from "vue"; import axios from "axios"; import SparkMD5 from "spark-md5"; export default { setup() { const UPLOAD_ENDPOINT = "your_backend_endpoint"; const CHUNK_SIZE = 5 * 1024 * 1024; // 5 MB const uploadStatus = ref(""); const uploadProgress = ref(0); const isUploading = ref(false); const progress = ref({}); const fileHash = ref(""); // 文件选择处理 const handleFileSelect = async (event) => { isUploading.value = true; const file = event.target.files[0]; if (!file) { uploadStatus.value = "No file selected."; return; } fileHash.value = await getFileHash(file); progress.value = getStoredUploadProgress(fileHash.value) || {}; // 开始上传逻辑 uploadStatus.value = "Start uploading..."; await uploadLargeFile(file); }; // 上传分片 const uploadChunk = (chunk, chunkIndex, totalChunks) => { const formData = new FormData(); // 数据包装 formData.append("chunk", chunk); formData.append("hash", fileHash.value + '-' + chunkIndex); formData.append("name", fileHash.value); // 可以传递原文件名等额外信息 return axios.post(UPLOAD_ENDPOINT, formData, { onUploadProgress: (progressEvent) => { const progressPercentage = parseInt((progressEvent.loaded / progressEvent.total) * 100); uploadStatus.value = `Uploading chunk ${chunkIndex + 1}/${totalChunks}: ${progressPercentage}%`; } }); }; // 通知服务器合并文件 const notifyServerToMerge = async () => { uploadStatus.value = "Uploading done. Asking server to merge chunks."; const response = await axios.post(`${UPLOAD_ENDPOINT}/merge`, { name: fileHash.value, size: CHUNK_SIZE, }); uploadStatus.value = response.data.message; cleanupProgress(fileHash.value); // 清理本地进度存储 }; // 大文件上传逻辑 const uploadLargeFile = async (file) => { const totalChunks = Math.ceil(file.size / CHUNK_SIZE); let promises = []; for (let chunkIndex = 0; chunkIndex < totalChunks; chunkIndex++) { if (progress.value[chunkIndex]) { // 如果已上传,忽略 continue; } const chunk = file.slice(chunkIndex * CHUNK_SIZE, ((chunkIndex + 1) * CHUNK_SIZE > file.size) ? file.size : (chunkIndex + 1) * CHUNK_SIZE); promises.push(uploadChunk(chunk, chunkIndex, totalChunks)); if (promises.length >= 4 || chunkIndex === totalChunks - 1) { // 最多并发上传4个 try { // 等待一批分片上传完成 await Promise.all(promises); updateProgress(chunkIndex); // 更新进度 } catch (e) { uploadStatus.value = `Failed to upload chunk ${chunkIndex}. ${e}`; break; } promises = []; } } if (Object.keys(progress.value).length === totalChunks) { await notifyServerToMerge(); isUploading.value = false; } }; // 更新进度信息 const updateProgress = (chunkIndex) => { progress.value[chunkIndex] = true; storeUploadProgress(fileHash.value, progress.value); calculateTotalProgress(); }; // 计算整体进度 const calculateTotalProgress = () => { const uploadedChunks = Object.keys(progress.value).length; const totalChunks = Math.ceil(fileSize / CHUNK_SIZE); uploadProgress.value = Math.floor((uploadedChunks / totalChunks) * 100); }; // 存储上传进度到本地 const storeUploadProgress = (fileHash, progress) => { localStorage.setItem(fileHash, JSON.stringify(progress)); }; // 清理本地存储的上传进度 const cleanupProgress = (fileHash) => { localStorage.removeItem(fileHash); progress.value = {}; uploadProgress.value = 0; }; // 获取上传进度信息 const getStoredUploadProgress = (fileHash) => { const progressJSON = localStorage.getItem(fileHash); return progressJSON ? JSON.parse(progressJSON) : null; }; // 取消上传处理 const handleCancelUpload = () => { // 由于文件可能有许多分片存储在不同的请求中上传, // 我们需要确保我们能够取消每一个进行中的Axios请求。 // 我们需要一种方法来跟踪所有这些取消令牌,并在需要时使用它们。 // 假设我们正在维护一个cancelTokens数组,它存储着只有当上传正在进行时才会创建的Axios取消令牌 cancelTokens.forEach(cancelToken => { cancelToken.cancel("Upload cancelled by the user."); }); // 上传状态更新并清理 isUploading.value = false; uploadStatus.value = "Upload cancelled."; uploadProgress.value = 0; // 还可以清理所有与上传相关的数据,例如进度信息等 cleanupProgress(fileHash.value); }; // 获取文件哈希值 const getFileHash = (file) => { return new Promise((resolve, reject) => { const fileReader = new FileReader(); const spark = new SparkMD5.ArrayBuffer(); const slice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice; const chunkSize = 2097152; // 以2MB为单位进行分块(自行调整大小) const chunks = Math.ceil(file.size / chunkSize); let currentChunk = 0; fileReader.onload = (e) => { spark.append(e.target.result); // Append array buffer currentChunk++; if (currentChunk < chunks) { loadNext(); } else { const result = spark.end(); resolve(result); } }; fileReader.onerror = () => { reject(new Error('Unable to read the file.')); }; function loadNext() { const start = currentChunk * chunkSize; const end = ((start + chunkSize) >= file.size) ? file.size : start + chunkSize; fileReader.readAsArrayBuffer(slice.call(file, start, end)); } loadNext(); }); }; return { handleFileSelect, uploadStatus, uploadProgress, isUploading, handleCancelUpload, }; }, }; </script>
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