I've been trying to get Document AI batch submissions to work but I'm having some difficulty. I used a RawDocument for single file submission, assuming I could iterate over my dataset (27k images), but opted for batch processing as it seemed to be the more appropriate technique.

When I run the code I see the error: "Unable to process all documents". The first few lines of debug information are:

O:17:"Google\Rpc\Status":5:{ s:7:"*Code";i:3;s:10:"*Message";s:32:"Unable to process all documents."; s:26:"Google\Rpc\Statusdetails"; O:38:"Google\Protobuf\Internal\RepeatedField":4:{ s:49:"Google\Protobuf\Internal\RepeatedFieldcontainer";a:0:{}s:44:"Google\Protobuf\Internal\RepeatedFieldtype";i:11;s:45:"Google\Protobuf\Internal\RepeatedFieldklass ";s:19:"Google\Protobuf\Any";s:52:"Google\Protobuf\Internal\RepeatedFieldlegacy_klass";s:19:"Google\Protobuf\Any";}s:38:"Google\Protobuf\ Internal\Messagedesc";O:35:"Google\Protobuf\Internal\Descriptor":13:{s:46:"Google\Protobuf\Internal\Descriptorfull_name";s:17:"google.rpc.Status";s: 42:"Google\Protobuf\Internal\Descriptorfield";a:3:{i:1;O:40:"Google\Protobuf\Internal\FieldDescriptor":14:{s:46:"Google\Protobuf\Internal\FieldDescriptorname ";s:4:"code";```

Support for this error states that the cause of the error is:

gcsUriPrefix and gcsOutputConfig.gcsUri parameters need to start with gs:// and end with a backslash character (/). Check the configuration of the bucket URI.

I'm not using gcsUriPrefix (should I? My Bucket > Max Batch Limits), but my gcsOutputConfig.gcsUri is within those limits. The file list I provide gives the file names (pointing to the right bucket), so there should be no trailing backslash.

Welcome to consult

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();
        }    
    }