File size: 6,418 Bytes
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document.addEventListener('DOMContentLoaded', () => {
const root = document.getElementById('root');
// Mock data for cells
const initialCells = [
{
id: 'cell-1',
agentType: 'researcher',
input: 'Find recent breakthroughs in quantum computing',
output: {
type: 'markdown',
content: '## Quantum Computing Breakthroughs (2023)\n\n1. **IBM Quantum Heron Processor** - 133-qubit processor with improved error rates\n2. **Google Quantum Supremacy 2.0** - Demonstrated 70-qubit processor\n3. **Microsoft Topological Qubits** - More stable qubit design\n4. **Quantum Networking** - First multi-node quantum network demonstrated',
tools_used: [
{ name: 'arXiv Search', icon: 'search', status: 'success', latency: '420ms' },
{ name: 'Research Summarizer', icon: 'file-text', status: 'success', latency: '320ms' }
],
metadata: {
version_hash: 'sha256:9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08',
source_citations: [
{
title: 'IBM Quantum Heron Processor Announcement',
url: 'https://research.ibm.com/blog/quantum-heron-processor',
description: 'Official announcement of the 133-qubit processor'
},
{
title: 'Nature: Quantum Computing Advances 2023',
url: 'https://www.nature.com/quantum-2023',
description: 'Comprehensive review of quantum computing milestones'
}
],
verification_score: 0.92,
requires_human_check: true,
human_check_status: 'approved'
}
},
status: 'success',
timestamp: new Date(Date.now() - 3600000).toISOString()
},
{
id: 'cell-2',
agentType: 'analyst',
input: 'Summarize the key points from cell-1 into bullet points',
output: {
type: 'markdown',
content: '- IBM released 133-qubit processor\n- Google demonstrated 70-qubit processor\n- Microsoft developed more stable qubit design\n- Multi-node quantum networks achieved',
tools_used: [
{ name: 'Text Summarizer', icon: 'align-left', status: 'success', latency: '210ms' }
],
metadata: {
version_hash: 'sha256:5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8',
source_citations: [],
verification_score: 0.85,
requires_human_check: false
}
},
status: 'success',
timestamp: new Date(Date.now() - 1800000).toISOString()
},
{
id: 'cell-3',
agentType: 'data-visualizer',
input: 'Create a comparison table of quantum processors from cell-1',
output: {
type: 'table',
content: {
headers: ['Company', 'Qubits', 'Key Feature'],
rows: [
['IBM', '133', 'Improved error rates'],
['Google', '70', 'Supremacy 2.0'],
['Microsoft', 'N/A', 'Topological stability']
]
},
tools_used: [
{ name: 'Table Generator', icon: 'grid', status: 'success', latency: '380ms' },
{ name: 'Data Validator', icon: 'check-circle', status: 'success', latency: '290ms' }
],
metadata: {
version_hash: 'sha256:a591a6d40bf420404a011733cfb7b190d62c65bf0bcda32b57b277d9ad9f146e',
source_citations: [],
verification_score: 0.78,
requires_human_check: true,
human_check_status: 'pending'
}
},
status: 'success',
timestamp: new Date(Date.now() - 900000).toISOString()
}
];
// Create notebook with initial cells
const notebook = document.createElement('agentic-notebook');
notebook.setAttribute('cells', JSON.stringify(initialCells));
root.appendChild(notebook);
});
// Mock run function for cells
function mockRunCell(cellId) {
const cell = document.querySelector(`agentic-cell[id="${cellId}"]`);
if (!cell) return;
// Show loading state
cell.setAttribute('status', 'loading');
// Simulate API call delay
setTimeout(() => {
// Update with mock response
const randomSuccess = Math.random() > 0.1; // 90% success rate
const timestamp = new Date().toISOString();
if (randomSuccess) {
const agentType = cell.getAttribute('agent-type');
let output;
if (agentType === 'researcher') {
output = {
type: 'markdown',
content: '## Updated Research Results\n\nNew findings suggest quantum error correction is improving faster than expected.'
};
} else if (agentType === 'analyst') {
output = {
type: 'markdown',
content: '- Quantum error correction improving rapidly\n- New benchmarks show 2x improvement'
};
} else if (agentType === 'data-visualizer') {
output = {
type: 'table',
content: {
headers: ['Metric', 'Improvement'],
rows: [
['Error Rate', '50% reduction'],
['Speed', '2x faster'],
['Stability', '3x more stable']
]
}
};
}
cell.setAttribute('output', JSON.stringify(output));
cell.setAttribute('status', 'success');
} else {
cell.setAttribute('status', 'error');
}
cell.setAttribute('timestamp', timestamp);
}, 1500);
} |