En un complemento de tinymce anterior que hice, configuré un transporte ajax personalizado para poder usar el blob directamente desde la imagen src de un img remoto en lugar de base64 en un atributo de datos, y luego usé la API REST para cargar la imagen a la mediateca en js.
Base64 será aproximadamente un 35% más grande que un blob, por lo que si hay muchos gráficos o cargas, esto ayudará a reducir bastante el ancho de banda de carga, incluso con una sola imagen, se debe considerar el rendimiento ya que muchos usuarios tienden a tener Una tonelada de complementos instalados. Probablemente ya sepa cuán intensivos en recursos pueden ser solo el editor y tinymce en primer lugar.
Además, en general odio salir de JS a PHP cuando no es 100% necesario: P
Dado que ya tiene el conjunto de datos en base64, podría usar un convertidor simple, hay muchos por ahí que acabo de copiar y pegar uno que encontré para el ejemplo a continuación. https://www.npmjs.com/package/base64toblob funciona bien si desea algo rápido para integrar en su compilación.
Aquí hay un ejemplo de trabajo rápido que utiliza datos de base64 de imagen de marcador de posición, lo acabo de incluir en un tema para probar, pero puede usarlo donde quiera:
tema / funciones.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 );
} );
});
El archivo se incrementará -1, -2 automáticamente de la forma normal para que no sobrescriba cosas yadda yadda, y la respuesta contendrá el objeto multimedia con lo que necesite.
Algunos de los parámetros útiles en respuesta:
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 ;)!
Si se convirtió a base64, entonces también podría escribir un transporte jquery ajax personalizado y tomar el img src y omitir hacer toda la decodificación base64 para cosas de blob, y debería ayudar a los éxitos de rendimiento de la codificación solo para decodificar, etc.
EDITAR:
Olvidé mencionar: la API REST está disponible para cualquier sitio vip, por lo que debería estar bien. Supongo que está generando los gráficos en el editor tinymce en el back-end, por lo que el usuario ya está autenticado. El ejemplo anterior es simplemente pasar el nonce a través de los encabezados en una solicitud ajax, que es un requisito de seguridad en vip.
Puede consultar la documentación para el cumplimiento aquí: https://vip.wordpress.com/documentation/api/
¡Tampoco me di cuenta de que estabas usando HTMLCanvasElement.toDataURL ()! - Puede omitir la decodificación de b64 y obtener el blob directamente ya que no está recuperando la imagen de un control remoto e intentando agregarla y usar HTMLCanvasElement.toBlob () ( MDN )