client: use web-woker to calculate md5

packages/client/src/services/file.ts

@@ -4,40 +4,22 @@ import SparkMD5 from 'spark-md5';
 import { HttpClient } from './http-client';
 
 const splitBigFile = (file: File): Promise<{ chunks: File[]; md5: string }> => {
-  return new Promise((resolve, reject) => {
-    const spark = new SparkMD5.ArrayBuffer();
-    const fileReader = new FileReader();
+  return new Promise((resolve) => {
     const chunks = [];
     const len = Math.ceil(file.size / FILE_CHUNK_SIZE);
-    let current = 0;
-
-    fileReader.onload = (e) => {
-      current++;
-
-      const chunk = e.target.result;
-      spark.append(chunk);
-
-      if (current < len) {
-        loadChunk();
-      } else {
-        resolve({ chunks, md5: spark.end() });
-      }
+    const sparkWorker = new Worker(new URL('./spark-md5.js', import.meta.url));
+    sparkWorker.onmessage = (evt) => {
+      resolve({ md5: evt.data.md5, chunks });
     };
 
-    fileReader.onerror = (err) => {
-      reject(err);
-    };
-
-    const loadChunk = () => {
-      const start = current * FILE_CHUNK_SIZE;
+    for (let i = 0; i < len; i++) {
+      const start = i * FILE_CHUNK_SIZE;
       const end = Math.min(start + FILE_CHUNK_SIZE, file.size);
       const chunk = file.slice(start, end);
-
       chunks.push(chunk);
-      fileReader.readAsArrayBuffer(chunk);
-    };
+    }
 
-    loadChunk();
+    sparkWorker.postMessage({ chunks });
   });
 };
 
@@ -74,12 +56,21 @@ const uploadFileToServer = (arg: {
   });
 };
 
-export const uploadFile = async (file: File, onUploadProgress?: (progress: number) => void) => {
+export const uploadFile = async (
+  file: File,
+  onUploadProgress?: (progress: number) => void,
+  onTooLarge?: () => void
+) => {
   const wraponUploadProgress = (percent) => {
     return onUploadProgress && onUploadProgress(Math.ceil(percent * 100));
   };
 
   const filename = file.name;
+
+  if (file.size > FILE_CHUNK_SIZE * 5) {
+    onTooLarge && onTooLarge();
+  }
+
   if (file.size <= FILE_CHUNK_SIZE) {
     const spark = new SparkMD5.ArrayBuffer();
     spark.append(file);
@@ -91,16 +82,36 @@ export const uploadFile = async (file: File, onUploadProgress?: (progress: numbe
     const unitPercent = 1 / chunks.length;
     const progressMap = {};
 
-    await Promise.all(
-      chunks.map((chunk, index) =>
-        uploadFileToServer({
+    /**
+     * 先上传一块分块，如果文件已上传，即无需上传后续分块
+     */
+    let url = await uploadFileToServer({
       filename,
-          file: chunk,
-          chunkIndex: index + 1,
+      file: chunks[0],
+      chunkIndex: 1,
       md5,
       isChunk: true,
       onUploadProgress: (progress) => {
-            progressMap[index] = progress * unitPercent;
+        progressMap[0] = progress * unitPercent;
+        wraponUploadProgress(
+          Object.keys(progressMap).reduce((a, c) => {
+            return (a += progressMap[c]);
+          }, 0)
+        );
+      },
+    });
+
+    if (!url) {
+      await Promise.all(
+        chunks.slice(1).map((chunk, index) =>
+          uploadFileToServer({
+            filename,
+            file: chunk,
+            chunkIndex: index + 1 + 1,
+            md5,
+            isChunk: true,
+            onUploadProgress: (progress) => {
+              progressMap[index + 1] = progress * unitPercent;
               wraponUploadProgress(
                 Object.keys(progressMap).reduce((a, c) => {
                   return (a += progressMap[c]);
@@ -110,7 +121,7 @@ export const uploadFile = async (file: File, onUploadProgress?: (progress: numbe
           })
         )
       );
-    const url = await HttpClient.request({
+      url = await HttpClient.request({
         method: FileApiDefinition.mergeChunk.method,
         url: FileApiDefinition.mergeChunk.client(),
         params: {
@@ -118,6 +129,10 @@ export const uploadFile = async (file: File, onUploadProgress?: (progress: numbe
           md5,
         },
       });
+    } else {
+      wraponUploadProgress(1);
+    }
+
     return url;
   }
 };

packages/client/src/services/spark-md5.js

@@ -0,0 +1,31 @@
+import SparkMD5 from 'spark-md5';
+
+addEventListener('message', (e) => {
+  const chunks = e.data.chunks || [];
+
+  if (!chunks.length) return;
+
+  const spark = new SparkMD5.ArrayBuffer();
+  const reader = new FileReader();
+  let index = 0;
+
+  const load = () => {
+    const chunk = chunks[index];
+    reader.readAsArrayBuffer(chunk);
+  };
+
+  reader.onload = (e) => {
+    spark.append(e.target.result);
+
+    if (index === chunks.length - 1) {
+      const md5 = spark.end();
+      postMessage({ md5 });
+      self.close();
+    } else {
+      index++;
+      load();
+    }
+  };
+
+  load();
+});

packages/client/src/tiptap/core/wrappers/attachment/index.tsx

@@ -1,5 +1,5 @@
 import { IconClose, IconDownload, IconPlayCircle } from '@douyinfe/semi-icons';
-import { Button, Collapsible, Progress, Space, Spin, Typography } from '@douyinfe/semi-ui';
+import { Button, Collapsible, Progress, Space, Spin, Toast, Typography } from '@douyinfe/semi-ui';
 import { FILE_CHUNK_SIZE } from '@think/domains';
 import { NodeViewWrapper } from '@tiptap/react';
 import cls from 'classnames';
@@ -46,7 +46,9 @@ export const AttachmentWrapper = ({ editor, node, updateAttributes }) => {
       }
 
       try {
-        const url = await uploadFile(file, setUploadProgress);
+        const url = await uploadFile(file, setUploadProgress, () => {
+          Toast.info('文件较大，文件将在后台进行上传处理，您可继续其他操作');
+        });
         updateAttributes({ ...fileInfo, url });
         toggleLoading(false);
         setUploadProgress(0);

packages/client/tsconfig.json

@@ -31,6 +31,6 @@
       "thirtypart/*": ["thirtypart/*"]
     }
   },
-  "include": ["next-env.d.ts", "global.d.ts", "**/*.ts", "**/*.tsx"],
+  "include": ["next-env.d.ts", "global.d.ts", "**/*.ts", "**/*.tsx", "src/services/spark-md5.js"],
   "exclude": ["node_modules", "next.config.js"]
 }