import hljs from 'highlight.js'; import latex from './latex'; import { marked } from 'marked'; class IPynb { private element: HTMLElement; private cells: HTMLElement[] = []; private language: string = 'python'; private notebook: any; constructor(element: HTMLElement) { this.element = element; let notebookContent = element.innerText; try { this.notebook = JSON.parse(notebookContent); } catch (e) { console.error('Failed to parse Jupyter notebook content:', e); return; } if (!this.notebook) { console.error('Failed to parse Jupyter notebook content:', notebookContent); return; } this.language = this.notebook.metadata.kernelspec?.language || 'python'; this.cells = this.createCells(); } mount() { const parent = this.element.parentElement as HTMLElement; parent.removeChild(this.element); parent.innerHTML = this.cells .filter((cell: HTMLElement) => !!cell?.outerHTML) .map((cell: HTMLElement) => cell.outerHTML) .join(''); } private getOutputs(cell: any): HTMLElement[] { return (cell.outputs || []).map((output: any) => { const outputElement = document.createElement('div'); outputElement.classList.add('jupyter-output'); if (output.output_type === 'stream') { const textElement = document.createElement('pre'); textElement.classList.add('stream-output'); textElement.textContent = output.text.join(''); outputElement.appendChild(textElement); } else if (output.output_type === 'display_data' || output.output_type === 'execute_result') { if (output.data['text/plain']) { outputElement.innerHTML += `\n
${output.data['text/plain']}`;
}
if (output.data['text/html']) {
outputElement.innerHTML += '\n' + output.data['text/html'];
}
const images = Object.keys(output.data).filter(key => key.startsWith('image/'));
if (images.length > 0) {
const imgEl = document.createElement('img');
const imgType = images[0]; // Use the first image type found
imgEl.src = `data:${imgType};base64,${output.data[imgType]}`;
outputElement.innerHTML += imgEl.outerHTML;
}
} else if (output.output_type === 'execute_result') {
if (output.data['text/plain']) {
outputElement.innerHTML += `${output.data['text/plain']}`;
}
if (output.data['text/html']) {
outputElement.innerHTML += output.data['text/html'];
}
if (output.data['image/png']) {
const imgEl = document.createElement('img');
imgEl.src = `data:image/png;base64,${output.data['image/png']}`;
outputElement.appendChild(imgEl);
}
} else if (output.output_type === 'error') {
outputElement.classList.add('error');
outputElement.textContent = `Error: ${output.ename}: ${output.evalue}`;
}
return outputElement;
});
}
private createCellElement(cell: any): HTMLElement {
const cellElement = document.createElement('div');
const source = cell.source.join('');
cellElement.classList.add('jupyter-cell');
switch (cell.cell_type) {
case 'markdown':
cellElement.classList.add('markdown-cell');
cellElement.innerHTML = `${source}`;
hljs.highlightElement(cellElement.querySelector('code') as HTMLElement);
break;
default:
break;
}
return cellElement;
}
private createCells(): HTMLElement[] {
return (this.notebook.cells || []).map((cell: any) => {
const container = document.createElement('div');
const cellElement = this.createCellElement(cell);
const outputs = this.getOutputs(cell);
container.classList.add('jupyter-cell-container');
container.appendChild(cellElement);
outputs.forEach((output: HTMLElement) => container.appendChild(output));
return container;
});
}
}
// Process Jupyter notebooks
document.querySelectorAll