Does the URI seem correct for the PHP batch job submission error: “Failed to process all documents”?

I’ve been trying to get Document AI batch submission working and having some difficulty. I have single file submission working using RawDocument and suppose I could just iterate over my data set (27k images) but chose batch since it seems like the more appropriate technique.

When I run my code I am seeing an error: "Failed to process all documents". The first few lines of the debug information are:

O:17:"GoogleRpcStatus":5:{
s:7:"*code";i:3;s:10:"*message";s:32:"Failed to process all documents.";
s:26:"GoogleRpcStatusdetails";
O:38:"GoogleProtobufInternalRepeatedField":4:{
s:49:"GoogleProtobufInternalRepeatedFieldcontainer";a:0:{}s:44:"GoogleProtobufInternalRepeatedFieldtype";i:11;s:45:"GoogleProtobufInternalRepeatedFieldklass";s:19:"GoogleProtobufAny";s:52:"GoogleProtobufInternalRepeatedFieldlegacy_klass";s:19:"GoogleProtobufAny";}s:38:"GoogleProtobufInternalMessagedesc";O:35:"GoogleProtobufInternalDescriptor":13:{s:46:"GoogleProtobufInternalDescriptorfull_name";s:17:"google.rpc.Status";s:42:"GoogleProtobufInternalDescriptorfield";a:3:{i:1;O:40:"GoogleProtobufInternalFieldDescriptor":14:{s:46:"GoogleProtobufInternalFieldDescriptorname";s:4:"code";“`

The support for this error states that the reason for the error is:

The gcsUriPrefix and gcsOutputConfig.gcsUri parameters need to begin with gs:// and end with a trailing backslash character (/). Check the configuration for the Bucket URIs.

I am not using gcsUriPrefix (should I? My buckets > max batch limit) but my gcsOutputConfig.gcsUri is within these limits. The file list I’ve provided gives file names (pointed at the right bucket) so should not have a trailing backslash.

Advice welcome

    function filesFromBucket( $directoryPrefix ) {
        // NOT recursive, does not search the structure
        $gcsDocumentList = [];
    
        // see https://cloud.google.com/storage/docs/samples/storage-list-files-with-prefix
        $bucketName = 'my-input-bucket';
        $storage = new StorageClient();
        $bucket = $storage->bucket($bucketName);
        $options = ['prefix' => $directoryPrefix];
        foreach ($bucket->objects($options) as $object) {
            $doc = new GcsDocument();
            $doc->setGcsUri('gs://'.$object->name());
            $doc->setMimeType($object->info()['contentType']);
            array_push( $gcsDocumentList, $doc );
        }
    
        $gcsDocuments = new GcsDocuments();
        $gcsDocuments->setDocuments($gcsDocumentList);
        return $gcsDocuments;
    }
    
    function batchJob ( ) {
        $inputConfig = new BatchDocumentsInputConfig( ['gcs_documents'=>filesFromBucket('the-bucket-path/')] );
    
        // see https://cloud.google.com/php/docs/reference/cloud-document-ai/latest/V1.DocumentOutputConfig
        // nb: all uri paths must end with / or an error will be generated.
        $outputConfig = new DocumentOutputConfig( 
            [ 'gcs_output_config' =>
                   new GcsOutputConfig( ['gcs_uri'=>'gs://my-output-bucket/'] ) ]
        );
     
        // see https://cloud.google.com/php/docs/reference/cloud-document-ai/latest/V1.DocumentProcessorServiceClient
        $documentProcessorServiceClient = new DocumentProcessorServiceClient();
        try {
            // derived from the prediction endpoint
            $name = 'projects/######/locations/us/processors/#######';
            $operationResponse = $documentProcessorServiceClient->batchProcessDocuments($name, ['inputDocuments'=>$inputConfig, 'documentOutputConfig'=>$outputConfig]);
            $operationResponse->pollUntilComplete();
            if ($operationResponse->operationSucceeded()) {
                $result = $operationResponse->getResult();
                printf('<br>result: %s<br>',serialize($result));
            // doSomethingWith($result)
            } else {
                $error = $operationResponse->getError();
                printf('<br>error: %s<br>', serialize($error));
                // handleError($error)
            }
        } finally {
            $documentProcessorServiceClient->close();
        }    
    }