Bentopdf / src /js /workflow /nodes /image-input-node.ts
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import { ClassicPreset } from 'rete';
import { BaseWorkflowNode } from './base-node';
import { pdfSocket } from '../sockets';
import type { PDFData, SocketData } from '../types';
import { PDFDocument } from 'pdf-lib';
import { loadPyMuPDF } from '../../utils/pymupdf-loader.js';
export class ImageInputNode extends BaseWorkflowNode {
readonly category = 'Input' as const;
readonly icon = 'ph-image';
readonly description = 'Upload images and convert to PDF';
private files: File[] = [];
constructor() {
super('Image Input');
this.addOutput('pdf', new ClassicPreset.Output(pdfSocket, 'PDF'));
}
async addFiles(fileList: File[]): Promise<void> {
for (const file of fileList) {
if (file.type.startsWith('image/')) {
this.files.push(file);
}
}
}
removeFile(index: number): void {
this.files.splice(index, 1);
}
hasFile(): boolean {
return this.files.length > 0;
}
getFileCount(): number {
return this.files.length;
}
getFilenames(): string[] {
return this.files.map((f) => f.name);
}
getFilename(): string {
if (this.files.length === 0) return '';
if (this.files.length === 1) return this.files[0].name;
return `${this.files.length} images`;
}
async data(
_inputs: Record<string, SocketData[]>
): Promise<Record<string, SocketData>> {
if (this.files.length === 0) {
throw new Error('No images uploaded in Image Input node');
}
const pymupdf = await loadPyMuPDF();
const pdfBlob = await pymupdf.imagesToPdf(this.files);
const bytes = new Uint8Array(await pdfBlob.arrayBuffer());
const document = await PDFDocument.load(bytes);
const result: PDFData = {
type: 'pdf',
document,
bytes,
filename: 'images.pdf',
};
return { pdf: result };
}
}