In einem früheren Tinymce-Plugin, das ich erstellt habe, habe ich einen benutzerdefinierten Ajax-Transport eingerichtet, sodass ich den Blob direkt aus dem Image-Quellcode eines Remote-Img anstelle von base64 für ein Datenattribut verwenden und dann das Image mithilfe der REST-API hochladen konnte die Medienbibliothek in js.
Base64 ist ungefähr 35% größer als ein Blob. Wenn also viele Diagramme oder Uploads vorhanden sind, kann dies dazu beitragen, die Upload-Bandbreite erheblich zu reduzieren. Selbst mit nur einem Bild sollte die Leistung berücksichtigt werden, da viele Benutzer dazu neigen eine Menge Plugins installiert. Sie wissen wahrscheinlich bereits, wie ressourcenintensiv nur der Editor und Tinymce sein können.
Außerdem hasse ich es, von JS zu PHP auszubrechen, wenn es nicht zu 100% notwendig ist: P.
Da Sie den Datensatz bereits in base64 haben - Sie könnten einen einfachen Konverter verwenden -, gibt es viele, die ich gerade kopiert und eingefügt habe, die ich für das folgende Beispiel gefunden habe. https://www.npmjs.com/package/base64toblob funktioniert einwandfrei, wenn Sie möchten, dass etwas schnell in Ihren Build integriert wird.
Hier ist ein schnelles Beispiel mit einem Platzhalterbild base64-Daten. Ich habe es nur zum Testen in ein Thema geworfen, aber Sie können es verwenden, wo immer Sie möchten:
theme / functions.php:
add_action( 'wp_enqueue_scripts', 'js_plugin_name_scripts' );
function js_plugin_name_scripts() {
wp_register_script( 'js-plugin-name', get_parent_theme_file_uri( 'js/js-plugin-name.js' ), array( 'wp-api' ) );
wp_localize_script( 'wp-api', 'wpApiSettings', array(
'root' => esc_url_raw( rest_url() ),
'nonce' => wp_create_nonce( 'wp_rest' )
) );
wp_enqueue_script( 'js-plugin-name' );
}
theme / js / js-plugin-name.js:
// Wait for API load.
wp.api.loadPromise.done( function() {
var base64, blob;
/**
* Convert base64 data to blob.
*
* @param {string} base64
* @param {string} mime
*/
function base64ToBlob( base64, mime ) {
mime = mime || '';
var sliceSize = 1024;
var byteChars = window.atob( base64 );
var byteArrays = [];
for ( var offset = 0, len = byteChars.length; offset < len; offset += sliceSize ) {
var slice = byteChars.slice( offset, offset + sliceSize );
var byteNumbers = new Array( slice.length );
for ( var i = 0; i < slice.length; i++ ) {
byteNumbers[i] = slice.charCodeAt(i);
}
var byteArray = new Uint8Array( byteNumbers );
byteArrays.push( byteArray );
}
return new Blob(byteArrays, {type: mime});
}
base64 = "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";
blob = base64ToBlob( base64, 'image/png' );
// Upload to media library.
jQuery.ajax( {
url: wpApiSettings.root + 'wp/v2/media',
method: 'POST',
beforeSend: function ( xhr ) {
xhr.setRequestHeader( 'X-WP-Nonce', wpApiSettings.nonce );
xhr.setRequestHeader( 'Content-Disposition', 'attachment;filename=' + 'placeholder.png' );
},
data: blob,
cache: false,
contentType: false,
processData: false
} ).done( function ( response ) {
// Response contains the media details.
console.log( response );
} );
});
Die Datei wird wie gewohnt automatisch um -1, -2 erhöht, damit Sie keine Daten überschreiben. Yadda yadda, und die Antwort enthält das Medienobjekt mit dem, was Sie benötigen.
Einige der nützlichen Parameter als Antwort:
response.id = post id
response.source_url = url to file ie http://local.wordpress.dev/wp-content/uploads/2017/07/placeholder.png
response.title.rendered(or .raw) = media title if needed
response.slug = media slug
response.media_details.height = contains the original uploaded img height
response.media_details.width = contains the original uploaded img width
response.media_details.sizes = contains the various img sizes generated - ie full/thumb/sm/med/lrg etc --- don't always rely on naming conventions ;)!
Wenn Sie auf base64 konvertiert haben, können Sie auch einfach einen benutzerdefinierten jquery ajax-Transport schreiben und den img src abrufen und die gesamte Base64-Dekodierung überspringen, um auch Blob-Inhalte zu erstellen.
BEARBEITEN:
Ich habe vergessen zu erwähnen: Die REST-API ist für jede VIP-Site verfügbar, daher sollte dies in Ordnung sein. Ich gehe davon aus, dass Sie die Diagramme im Tinymce-Editor im Back-End generieren - der Benutzer ist also bereits authentifiziert. Im obigen Beispiel wird die Nonce nur in einer Ajax-Anforderung über die Header übergeben. Dies ist eine Voraussetzung für die Sicherheit bei VIP.
Informationen zur Konformität finden Sie hier: https://vip.wordpress.com/documentation/api/
Ich habe auch nicht bemerkt, dass Sie HTMLCanvasElement.toDataURL () verwenden! - Sie können einfach die Dekodierung von b64 überspringen und den Blob direkt abrufen, da Sie das Bild nicht von einer Fernbedienung abrufen und versuchen, es hinzuzufügen und HTMLCanvasElement.toBlob () ( MDN ) zu verwenden.