Dans un plugin tinymce précédent, j'ai créé - J'ai configuré un transport ajax personnalisé afin que je puisse simplement utiliser le blob directement à partir de l'image src d'une image distante au lieu de base64 sur un attribut de données, puis j'ai utilisé l'API REST pour télécharger l'image vers la médiathèque de js.
Base64 sera environ 35% plus grand qu'un blob, donc s'il y a beaucoup de graphiques ou de téléchargements, cela contribuera à réduire considérablement la bande passante de téléchargement, même avec une seule image, les performances doivent être prises en compte car de nombreux utilisateurs ont tendance à avoir une tonne de plugins installés. Vous savez probablement déjà à quel point l'éditeur et tinymce peuvent être gourmands en ressources.
De plus, dans l'ensemble, je déteste sortir de JS en PHP quand ce n'est pas nécessaire à 100%: P
Puisque vous avez déjà l'ensemble de données dans base64 - vous pouvez utiliser un simple convertisseur - il y en a beaucoup là-bas, je viens de copier et coller celui que j'ai trouvé pour l'exemple ci-dessous. https://www.npmjs.com/package/base64toblob fonctionne bien si vous vouliez quelque chose de rapide à intégrer dans votre build.
Voici un exemple de travail rapide utilisant une image d'espace réservé base64, je viens de le jeter dans un thème pour les tests, mais vous pouvez l'utiliser où vous le souhaitez:
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 );
} );
});
Le fichier sera incrémenté -1, -2 automatiquement comme d'habitude afin que vous n'écrasiez pas yadda yadda, et la réponse contiendra l'objet multimédia avec tout ce dont vous avez besoin.
certains des paramètres utiles en réponse:
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 vous avez converti en base64, vous pouvez également écrire un transport ajax personnalisé jquery et saisir l'img src et ignorer tout le décodage base64 pour blober également, et cela devrait aider les résultats de performance de l'encodage juste à décoder, etc.
ÉDITER:
J'ai oublié de mentionner: l'API REST est disponible pour n'importe quel site vip, donc ça devrait aller. Je suppose que vous générez les graphiques dans l'éditeur tinymce à l'arrière - de sorte que l'utilisateur est déjà authentifié. L'exemple ci-dessus passe simplement le nonce dans les en-têtes dans une demande ajax, ce qui est une exigence de sécurité sur vip.
Vous pouvez vous référer à la documentation pour la conformité ici: https://vip.wordpress.com/documentation/api/
De plus, je n'ai pas remarqué que vous utilisiez HTMLCanvasElement.toDataURL ()! - Vous pouvez simplement ignorer le décodage de b64 et obtenir le blob directement car vous ne récupérez pas l'image à partir d'une télécommande et essayez de l'ajouter et d'utiliser HTMLCanvasElement.toBlob () ( MDN )