Webviewer not working with BLOB obkect

WebViewer Version:

Do you have an issue with a specific file(s)?
Can you reproduce using one of our samples or online demos? yes
Are you using the WebViewer server? yes
Does the issue only happen on certain browsers? No
Is your issue related to a front-end framework? yes
Is your issue related to annotations? No

Please give a brief summary of your issue:
(Think of this as an email subject)

We are not able to load document using Blob

Please describe your issue and provide steps to reproduce it:
(The more descriptive your answer, the faster we are able to help you)
Create a based64 from any pdf document and load document using blob


import React, { useRef, useEffect } from ‘react’
import WebViewer from ‘@pdftron/webviewer’
import ‘./DocViewer.css’
import { useSearchParams } from ‘react-router-dom’

const DocbackUp = () => {
debugger
const viewer1 = useRef(null)
const [searchParams] = useSearchParams()
//const defaultPath = ‘/files/PDFTRON_about.pdf’
const defaultPath =
http://test.ciqhyd.com/docrepo/documentrepositoryconversionroot/2022/4/29/1652758134.pdf

const queryPath = searchParams.get(‘path’)
var base64 = searchParams.get(‘base’)
var abc = []
base64 =
‘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’

var path =
queryPath === undefined || queryPath === ‘’ || queryPath == null
? defaultPath
: queryPath
//var path = ‘https://pdftron.s3.amazonaws.com/downloads/pl/demo-annotated.pdf

// if using a class, equivalent of componentDidMount
useEffect(() => {
WebViewer(
{
// path: ‘/webviewer/lib’,
// initialDoc: path,
// fullAPI: true,

    //path: '../../../lib',
    path: '/webviewer/lib',
    webviewerServerURL: 'https://demo.pdftron.com/',
    // initialDoc:'https://pdftron.s3.amazonaws.com/downloads/pl/demo-annotated.pdf',
    //initialDoc: path,
  },
  viewer1.current,
).then((instance) => {
  const {
    documentViewer,
    annotationManager,
    Annotations,
    Search,
  } = instance.Core
  const { Feature } = instance.UI
  instance.UI.enableFeatures([Feature.FilePicker])
  // instance.UI.loadDocument(
  //   'https://pdftron.s3.amazonaws.com/downloads/pl/demo-annotated.pdf',
  // )
  instance.UI.loadDocument(base64ToBlob(base64))
})

}, [path])

function base64ToBlob(base64) {
const binaryString = window.atob(base64)
const len = binaryString.length
const bytes = new Uint8Array(len)
for (let i = 0; i < len; ++i) {
bytes[i] = binaryString.charCodeAt(i)
}

return new Blob([bytes], { type: 'application/pdf' })

}

return (
<div style={{ width: ‘100%’, height: ‘100%’ }}>
<h2 style={{ textAlign: ‘center’ }}>Webviewer

  {/* <label>File Path: </label>
  <input type="text" /> */}
  <div>Main Doc path : {path}</div>
  <div
    style={{ height: '1000px' }}
    className="webviewer1"
    ref={viewer1}
  ></div>
</div>

)
}

export default DocbackUp

@Ahmad
I am getting below error in console

Hello akashzinzuwadia26,

Can you please provide a sample project to reproduce the issue?
I am not able to reproduce

Best regards
Tyler Gordon

We experience the same problem.
Webviewer fails to load a blob object ****when using webviewer server.
The error is always a “Unexpected end of JSON input”.

When using webviewer server this happens :

  • when loading a blob with loadDocument
  • when clicking on an attachment annotation in a multitab environment.

We submitted the bug and there is a pending ticket in the backlog.

Our workaround :
temporarily load the document without a webviewer server instance for the use cases where we have a blob.

Hello MichaelL,

Can you try using loadDocument and passing in the additional parameter:

loadDocument(blob, {
    filename: // file name
    extension: // extension
})

Best regards,
Tyler

Hello Tyler
We pass a loaddocumentoptions object alongside the blob and it doesn’t change anything.
We tried without also.

A blob always fails when using webviewer server.

Hey MichaelL,

Can you try with:

      const pdfFile = base64ToBlob(base64);
      instance.Core.documentViewer.loadDocument(pdfFile)

It looks like the UI.loadDocument does not call certain required transformations in the backend before asking it from WebViewer Server.

Best regards,
Tyler

Hello Tyler

I suppose you mean to use the base64ToBlob function example in the documentation Apryse Documentation | Documentation.

We receive a Blob object from an API , we cannot transform it before using loadcument with such a function, It fails because it is not base64 data.

Here you can see the object we are using with loadDocument - it is well typed as a Blob.

This happen when you are using webviewer server…
Can you please try with that?
Please let me know if still you can not reproduce it

We receive a Blob object from an API , we cannot transform it before using loadcument with such a function, It fails because it is not base64 data.
How are you loading the document with the blob in this scenario?

When I load with a blob and WebViewer server using the documentViewer.loadDocument API it works correctly.

This is using WebViewer Server, please try with documentViewer.loadDocument

Hello Tyler

The reason it works correctly when you use documentViewer.loadDocument is that documentviewer.loadDocument does not use the initial configuration and bypasses webviewer server if it is not explicitely given as an argument in the options. (We already had a ticket about this with the team ( #37744))

When you load a BLOB, if you pass a webviewerServerURL in the loadDocumentOptions it fails even with documentViewer.loadDocument

We tried everything we could and it always happen with webviewer server. The error comes from the server itself.

When this will be fixed? Any ETA?

Hello,
Ill add this issue to our backlog for the team to investigate,

In the meantime, you can use the blob to create a Document object using
instance.Core.createDocument(//blob);
then load that.

https://docs.apryse.com/api/web/Core.html#.createDocument

Best regards,
Tyler

Hello Tyler

Glad to read that it is in the backlog.

As for the workaround that you proposed, it does not work if you also use webviewer server as an option when you create the document, : the problem is the same.

In our case and as already mentionned, we already have a workaround by bypassing webviewer server but it is far from optimal because we cannot use the webviewer server cache and need to deploy a custom logic to handle the cases when we need to use BLOB.

Just tested the latest webviewer server and it seems the bug is fixed. We are now able to load Blob objects to webviewer server!

Cheers.

Hey, Michael.

Can you help me with this. I’m facing kind of the same problem. I can’t load a Blob file using UI.loadDocument. I’m getting my blob file from the server. Can you maybe provide me with some example that works for you?