Angular上传图像作为多部分表单数据(NestJS后端)

时间:2019-10-28 17:42:05

标签: javascript angular http ionic-framework nestjs

我正在尝试将使用formdata的图像发布到一个由nestJS驱动的后端,并遇到一个问题,即到达后端时formdata不确定。我尝试使用邮递员上传图片,并且按预期工作。

这是我的前端代码:

let blob = this.getBlob(results[i], ".png");
const file = new File([blob],name, {type:"image/png"});
let  postData = new FormData();

postData.append('file', file);

this.httpService.uploadUserPhoto(postData)
    .subscribe(res =>{
      console.log(res)
  }, error => {
 console.log(error);
this.unknownError(error.name);
})

和Http调用

uploadUserPhoto(data: FormData){
   return this.http.post(`${this.config.serverAddress}/api/user/photoUpload`, data)
 }

后端使用内置的File Intreceptor处理图像Docs: https://docs.nestjs.com/techniques/file-upload

@Post('photoUpload')
    @UseGuards(AuthGuard)
    @UseInterceptors(FileInterceptor('file'))
    uploadFile(@User() user, @UploadedFile() file) {
        return this.profileService.saveFile(user,file)
    }

以及用于将上传的图片保存到Google云的代码

private fileUploader(userId: string, uploadedFile: any): Observable<any> {
     return new Observable(observer => {
           const fileName = `${userId}:${uniqId()}`;
           const file = this.photoBucket.file(fileName);

           const stream = file.createWriteStream({
                metadata: {
                  contentType: uploadedFile.mimetype
                 },
              resumable: false
        });

这是文件intrecptor引发的错误:

[Nest] 26603   - 10/28/2019, 5:38:34 PM   [ExceptionsHandler] Cannot read property 'mimetype' of undefined +106042ms
TypeError: Cannot read property 'mimetype' of undefined
    at Observable.rxjs_1.Observable.observer [as _subscribe] (PATH/dist/services/user.profile.service.js:53:47)

同样,使用邮递员上传图像文件也可以! 谢谢...

1 个答案:

答案 0 :(得分:0)

好的,所以我找到了解决方案。首先,从离子图像选择器获取base64,而不是获取文件url。然后,您从该base64创建一个blob并附加其内容类型。您可以按照自己喜欢的任何方式执行此操作,但是我是通过节点模块b64-to-blob(https://www.npmjs.com/package/b64-to-blob)完成的。之后,您可以从中创建表单数据,最后创建http发布。

代码如下:

if (this.user.photos.length < 5) {
            this.imagePicker.getPictures({
                maximumImagesCount: 1,
                quality: 50,
                outputType: 1
            })
                .then((results: string[]) => {
                    results.forEach(res => {
                        const contentType = 'image/png';
                        // @ts-ignore
                        let blob = b64toBlob(res, contentType);
                        let fd: FormData = new FormData();
                        fd.append('file', blob);
                        this.httpUpload(fd)
                    })

                }, (err) => {
                    this.unknownError(err);
                });

        }