代码实现

APP端使用 uni.getFileInfo() 即可
H5环境需要安装spark-md5

npm install spark-md5

封装的获取上传视频的md5方法

import SparkMD5 from 'spark-md5'/*** 用于获取视频的md5* @param {Object} e 要上传的文件* @param {Object} digestAlgorithm 取值	md5、sha1*/
export function getFileInfo(e, digestAlgorithm = 'md5') {return new Promise((resolve, reject) => {// #ifdef APPuni.getFileInfo({filePath: e.tempFilePath,digestAlgorithm,success(res) {resolve(res)},fail(err) {console.log(`获取文件信息失败，返回空对象`)resolve({size: '',digest: null})}})// #endif// #ifdef H5try {let fileReader = new FileReader()let Spark = new SparkMD5.ArrayBuffer()fileReader.readAsArrayBuffer(e.tempFile)fileReader.onload = function (res) {Spark.append(res.target.result)let md5 = Spark.end()resolve({size: '',digest: md5})}} catch (error) {console.log('🚀 ~ 获取视频的md5 ~ error:', error)resolve({size: '',digest: null})}// #endif})
}

上传视频方法

/*** 选取视频* @param {Object} event 选取的视频本地信息，包含路径等信息*/
async afterReadVideo(e) {if (JSON.stringify(e) === '{}' || !e) {return}let self = thislet videoDuration = e.durationlet sizeMb = Number(e.size) / 1024 / 1024if (sizeMb > 1536) {return uni.showToast({title: '视频过大，不得超过1.5G',icon: 'none',duration: 1500})}// 视频是否截图完的flagself.uploadImgFinished = falseself.uploadLoading = truelet videoUrl = ''try {// 上传视频videoUrl = await uploadFile(e.tempFilePath, self.processingProgress)self.currVideoUrl = videoUrlself.videoImgUrl = videoUrl + '!/snapshot/point/00:00:00/format/png'// 获取视频的md5let fileInfo = await getFileInfo(e)self.videoMd5 = fileInfo.digestself.uploadLoading = false// 视频是否截图完的flagself.uploadImgFinished = truethis.videoDuration = videoDuration} catch (err) {// 上传失败this.videoDuration = 0let msg = '上传失败，请稍后重试'if (self.uploadLoading) {msg = '上传已取消'}self.uploadLoading = falseself.downloadTask = nulluni.showToast({title: msg,icon: 'none'})}
}