chore: migrate
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After Width: | Height: | Size: 15 KiB |
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index.html
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index.html
@ -4,6 +4,15 @@
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>SheetSense Analyzer</title>
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<!-- Google tag (gtag.js) -->
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||||
<script async src="https://www.googletagmanager.com/gtag/js?id=G-1TJSQFTRJF"></script>
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||||
<script>
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||||
window.dataLayer = window.dataLayer || [];
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function gtag(){dataLayer.push(arguments);}
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||||
gtag('js', new Date());
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||||
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||||
gtag('config', 'G-1TJSQFTRJF');
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</script>
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||||
<script src="https://cdn.sheetjs.com/xlsx-0.20.3/package/dist/xlsx.full.min.js"></script>
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<script src="https://unpkg.com/sheetsense/dist/sheetsense.browser.js"></script>
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<style>
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@ -14,14 +23,49 @@
|
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padding: 20px;
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||||
background: #f5f5f5;
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||||
}
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||||
.upload-container {
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||||
.upload-container, .demo-container {
|
||||
background: white;
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||||
padding: 2rem;
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||||
padding: 0.50rem 2rem;
|
||||
border-radius: 8px;
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||||
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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text-align: center;
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||||
margin-bottom: 2rem;
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||||
}
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||||
.demo-grid {
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||||
display: grid;
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||||
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
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gap: 1rem;
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||||
margin-top: 1rem;
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}
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||||
.demo-card {
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||||
border: 1px solid #e5e7eb;
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||||
border-radius: 8px;
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padding: 1rem;
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||||
background: #fff;
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||||
}
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.demo-card h3 {
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margin-top: 0;
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color: #1f2937;
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||||
border-bottom: 2px solid #e5e7eb;
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padding-bottom: 0.5rem;
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}
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.demo-button {
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display: block;
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width: 100%;
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padding: 0.5rem 1rem;
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text-align: left;
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background: none;
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||||
border: none;
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||||
border-bottom: 1px solid #e5e7eb;
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||||
cursor: pointer;
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||||
color: #4b5563;
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||||
font-size: 0.875rem;
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||||
}
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||||
.demo-button:last-child {
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border-bottom: none;
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}
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.demo-button:hover {
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background: #f9fafb;
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}
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#drop-zone {
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||||
border: 2px dashed #ccc;
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border-radius: 4px;
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@ -44,50 +88,70 @@
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padding: 1rem;
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border-radius: 4px;
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}
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.error {
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background: #fff5f5;
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border-left: 4px solid #dc2626;
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}
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.warning {
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||||
background: #fffbeb;
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border-left: 4px solid #d97706;
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}
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.info {
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background: #f0f9ff;
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border-left: 4px solid #0284c7;
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}
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.metadata {
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background: #f8fafc;
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padding: 1rem;
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border-radius: 4px;
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margin: 1rem 0;
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}
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.hidden {
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display: none;
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||||
}
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.footer {
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.error { background: #fff5f5; border-left: 4px solid #dc2626; }
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.warning { background: #fffbeb; border-left: 4px solid #d97706; }
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.info { background: #f0f9ff; border-left: 4px solid #0284c7; }
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.hidden { display: none; }
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.loading {
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text-align: center;
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margin-top: 2rem;
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padding: 1rem;
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color: #666;
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}
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.footer a {
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color: #0066cc;
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text-decoration: none;
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}
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.footer a:hover {
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text-decoration: underline;
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}
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</style>
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</head>
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<body>
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<div class="upload-container">
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<h1>SheetSense Analyzer </h1>
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<h2>SheetSense Analyzer</h2>
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<p>Excel workbook validation engine that detects quality issues, ensures consistency, and makes your spreadsheets bulletproof.</p>
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<div id="drop-zone">
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<p>Drop your Excel file here or click to choose</p>
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<p>Drop your Excel (xls or xlsx) file here or click to choose</p>
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<input type="file" id="file-input" accept=".xlsx,.xls" class="hidden">
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</div>
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</div>
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<div class="demo-container">
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<h2>Test Files</h2>
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<div class="test-files-list">
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<div class="test-files-category">
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<div class="category-header">Circular Reference Tests</div>
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<button class="demo-button" data-file="test_files/circular_reference/direct_circular.xlsx">
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Direct Circular Reference Test
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</button>
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<button class="demo-button" data-file="test_files/circular_reference/indirect_circular.xlsx">
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Indirect Circular Reference Test
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</button>
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<button class="demo-button" data-file="test_files/circular_reference/valid_cross_reference.xlsx">
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Valid Cross Reference Test
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</button>
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</div>
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<div class="test-files-category">
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<div class="category-header">Data Quality Tests</div>
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<button class="demo-button" data-file="test_files/data_quality/data_quality_issues.xlsx">
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Data Quality Issues Test
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</button>
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</div>
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<div class="test-files-category">
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<div class="category-header">Formula Errors</div>
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<button class="demo-button" data-file="test_files/formula_errors/formula_errors.xlsx">
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Formula Errors Test
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</button>
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</div>
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<div class="test-files-category">
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<div class="category-header">Hidden Content</div>
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<button class="demo-button" data-file="test_files/hidden_cell/hidden_cells.xlsx">
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Hidden Cell
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</button>
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<button class="demo-button" data-file="test_files/hidden_cell/hidden_rows_columns.xlsx">
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Hidden rows and columns
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</button>
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<button class="demo-button" data-file="test_files/hidden_cell/hidden_cells.xlsx">
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Consecutive hidden rows
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</button>
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</div>
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</div>
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</div>
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<div id="results" class="results hidden">
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<h2>Analysis Results</h2>
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<div class="metadata">
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@ -100,13 +164,15 @@
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</div>
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</div>
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<div class="footer">
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<div class="footer">
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<p>
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<a href="https://ezy.ovh/bmicX" target="_blank">View on GitHub</a> |
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Created by <a href="https://ezy.ovh/oEaFv" target="_blank">@asadbek064</a>
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<a href="https://ezy.ovh/bmicX" target="_blank">View on GitHub</a> |
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Created by <a href="https://ezy.ovh/oEaFv" target="_blank">@asadbek064</a>
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<a href="https://mylinx.cc/asad" target="_blank">mylinx.cc/asad</a>
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</p>
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</div>
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<script>
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const dropZone = document.getElementById('drop-zone');
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const fileInput = document.getElementById('file-input');
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const metadataContent = document.getElementById('metadata-content');
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const issuesContent = document.getElementById('issues-content');
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// Drag and drop handlers
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// Demo button handlers
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document.querySelectorAll('.demo-button').forEach(button => {
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button.addEventListener('click', async () => {
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const filePath = button.dataset.file;
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results.classList.add('hidden');
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// Show loading state
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const loadingDiv = document.createElement('div');
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loadingDiv.className = 'loading';
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loadingDiv.innerHTML = `Loading ${filePath}...`;
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button.parentNode.appendChild(loadingDiv);
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try {
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// Use relative path from the root of your Cloudflare Pages deployment
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const response = await fetch(`/${filePath}`, {
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headers: {
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'Accept': 'application/octet-stream'
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}
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});
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if (!response.ok) {
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throw new Error(`Failed to load file: ${filePath} (${response.status} ${response.statusText})`);
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}
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const arrayBuffer = await response.arrayBuffer();
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const data = new Uint8Array(arrayBuffer);
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const workbook = XLSX.read(data, {
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type: 'array',
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cellFormula: true,
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cellNF: true,
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cellText: true,
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cellStyles: true,
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cellDates: true,
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raw: true
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});
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const analyzer = new SheetSense.ExcelAnalyzer(workbook);
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const analysis = analyzer.analyze();
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displayResults(analysis);
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} catch (error) {
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console.error('Error loading test file:', error);
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issuesContent.innerHTML = `
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<div class="issue error">
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<strong>Error loading test file</strong>
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<p>${error.message}</p>
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</div>
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`;
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results.classList.remove('hidden');
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} finally {
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loadingDiv.remove();
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}
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});
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});
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// Rest of the JavaScript code remains the same
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dropZone.addEventListener('dragover', (e) => {
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e.preventDefault();
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dropZone.classList.add('dragover');
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handleFile(file);
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});
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// Click to upload
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dropZone.addEventListener('click', () => {
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fileInput.click();
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});
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const reader = new FileReader();
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reader.onload = (e) => {
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const data = new Uint8Array(e.target.result);
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const workbook = XLSX.read(data, { type: 'array' });
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const workbook = XLSX.read(data, {
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type: 'buffer',
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cellFormula: true,
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cellNF: true,
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cellText: true,
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cellStyles: true,
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cellDates: true,
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raw: true
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});
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// Use the actual SheetSense package
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const analyzer = new SheetSense.ExcelAnalyzer(workbook);
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const analysis = analyzer.analyze();
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displayResults(analysis);
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function displayResults(analysis) {
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results.classList.remove('hidden');
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// Display metadata
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metadataContent.innerHTML = `
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<p>Sheets: ${analysis.metadata.sheetCount}</p>
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<p>Formulas: ${analysis.metadata.formulaCount}</p>
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<p>External References: ${analysis.metadata.externalReferences}</p>
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`;
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// Display issues
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if (analysis.issues.length === 0) {
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issuesContent.innerHTML = '<p>No issues found!</p>';
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} else {
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}
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</script>
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</body>
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</html>
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</html>
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BIN
test_files/circular_reference/direct_circular.xlsx
Normal file
BIN
test_files/circular_reference/direct_circular.xlsx
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Binary file not shown.
77
test_files/circular_reference/gen_test.py
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test_files/circular_reference/gen_test.py
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import openpyxl
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from openpyxl import Workbook
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def create_direct_circular_reference():
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wb = Workbook()
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ws = wb.active
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ws.title = "Sheet1"
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# Create direct circular reference
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cell = ws['A1']
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cell.value = '=A1+1' # This sets the formula
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cell.data_type = 'f' # Explicitly set as formula type
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# Save with keep_vba=True to preserve formulas
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wb.save('direct_circular.xlsx')
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print("Created direct_circular.xlsx")
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def create_indirect_circular_reference():
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wb = Workbook()
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ws = wb.active
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ws.title = "Sheet1"
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# Create indirect circular reference chain
|
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ws['A1'].value = '=B1+1'
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ws['A1'].data_type = 'f'
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ws['B1'].value = '=C1+1'
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ws['B1'].data_type = 'f'
|
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ws['C1'].value = '=A1+1'
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ws['C1'].data_type = 'f'
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|
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wb.save('indirect_circular.xlsx')
|
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print("Created indirect_circular.xlsx")
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def create_valid_cross_reference():
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wb = Workbook()
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ws = wb.active
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ws.title = "Sheet1"
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# Create valid cross-reference
|
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ws['A1'].value = 1 # Numeric value
|
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ws['A1'].data_type = 'n'
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ws['B1'].value = '=A1*2' # Formula referencing A1
|
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ws['B1'].data_type = 'f'
|
||||
|
||||
wb.save('valid_cross_reference.xlsx')
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print("Created valid_cross_reference.xlsx")
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def verify_formulas():
|
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"""Verify the formulas were saved correctly"""
|
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for filename in ['direct_circular.xlsx', 'indirect_circular.xlsx', 'valid_cross_reference.xlsx']:
|
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wb = openpyxl.load_workbook(f'{filename}', data_only=False)
|
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ws = wb.active
|
||||
print(f"\nVerifying {filename}:")
|
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for row in ws.iter_rows():
|
||||
for cell in row:
|
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if cell.value and str(cell.value).startswith('='):
|
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print(f"Cell {cell.coordinate}: Formula = {cell.value}")
|
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else:
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print(f"Cell {cell.coordinate}: Value = {cell.value}")
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def main():
|
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print("Generating Excel test files...")
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||||
try:
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||||
create_direct_circular_reference()
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create_indirect_circular_reference()
|
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create_valid_cross_reference()
|
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print("\nAll files generated successfully!")
|
||||
|
||||
print("\nVerifying formula storage:")
|
||||
verify_formulas()
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error generating files: {str(e)}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
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||||
BIN
test_files/circular_reference/indirect_circular.xlsx
Normal file
BIN
test_files/circular_reference/indirect_circular.xlsx
Normal file
Binary file not shown.
BIN
test_files/circular_reference/valid_cross_reference.xlsx
Normal file
BIN
test_files/circular_reference/valid_cross_reference.xlsx
Normal file
Binary file not shown.
BIN
test_files/data_quality/data_quality_issues.xlsx
Normal file
BIN
test_files/data_quality/data_quality_issues.xlsx
Normal file
Binary file not shown.
15
test_files/data_quality/gen_test.py
Normal file
15
test_files/data_quality/gen_test.py
Normal file
@ -0,0 +1,15 @@
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import pandas as pd
|
||||
import numpy as np
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||||
|
||||
# Data quality issues dataset
|
||||
data = {
|
||||
'Product_ID': ['A1', 'B2', 123, 'D4', None, 'F6', 'G7', np.nan, 'I9', 'J10'],
|
||||
'Stock_Count': [100, '200', 'invalid', 400, -999999, 600, '7OO', '800 ', None, 1000],
|
||||
'Price': [10.999, '20.00', 30, '40.0000', 50.5, '60', None, '80.0', 90.99999, '100.'],
|
||||
'Last_Updated': [None, '2024-13-01', '01/01/2024', '2024.01.01', 'yesterday',
|
||||
'01-01-2024 ', '2024/01/01', '1st Jan 2024', pd.Timestamp.now(), '2024-01-01']
|
||||
}
|
||||
|
||||
df = pd.DataFrame(data)
|
||||
df.to_excel('data_quality_issues.xlsx', index=False)
|
||||
|
||||
BIN
test_files/formatting_issue/formatting_issues.xlsx
Normal file
BIN
test_files/formatting_issue/formatting_issues.xlsx
Normal file
Binary file not shown.
29
test_files/formatting_issue/gen_test.py
Normal file
29
test_files/formatting_issue/gen_test.py
Normal file
@ -0,0 +1,29 @@
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import pandas as pd
|
||||
|
||||
data = {
|
||||
'Employee': [' John Doe', 'Jane Smith ', ' Bob Jones', 'Alice Brown ', 'Tom Wilson'],
|
||||
'Salary': ['$50,000', '60000', '$70,000.00', '80000.0', '90,000'],
|
||||
'Hire_Date': ['01-Jan-2024', '2024/01/02', '03.01.2024', 'Jan 4, 2024', '2024-01-05'],
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||||
'Department': ['IT ', ' HR', 'Finance', ' Marketing ', 'Sales'],
|
||||
'Performance': ['95.00%', '87.5', '92', '88.75%', '90.0%']
|
||||
}
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||||
|
||||
df = pd.DataFrame(data)
|
||||
|
||||
writer = pd.ExcelWriter('formatting_issues.xlsx', engine='xlsxwriter')
|
||||
df.to_excel(writer, index=False)
|
||||
workbook = writer.book
|
||||
worksheet = writer.sheets['Sheet1']
|
||||
|
||||
# Add inconsistent formatting
|
||||
formats = [
|
||||
workbook.add_format({'num_format': '#,##0'}),
|
||||
workbook.add_format({'num_format': '0.00'}),
|
||||
workbook.add_format({'num_format': '$#,##0.00'}),
|
||||
workbook.add_format({'num_format': '0%'})
|
||||
]
|
||||
|
||||
for col, fmt in enumerate(formats):
|
||||
worksheet.set_column(col, col, 15, fmt)
|
||||
|
||||
writer.close()
|
||||
BIN
test_files/formula_errors/formula_errors.xlsx
Normal file
BIN
test_files/formula_errors/formula_errors.xlsx
Normal file
Binary file not shown.
18
test_files/formula_errors/gen_test.py
Normal file
18
test_files/formula_errors/gen_test.py
Normal file
@ -0,0 +1,18 @@
|
||||
import pandas as pd
|
||||
import openpyxl
|
||||
|
||||
wb = openpyxl.Workbook()
|
||||
ws = wb.active
|
||||
|
||||
formulas = [
|
||||
['=A1/0', '=B1*C1', '=UNKNOWNFUNC()', '=D1+E1'],
|
||||
['=VLOOKUP("x",A1:A2,3,FALSE)', '=SUM(#REF!)', '=VALUE("abc")', '=NULL'],
|
||||
['=1/0', '=NA()', '=NAME?', '=VALUE!'],
|
||||
['=IF(A1="",,)', '=INDIRECT("invalid")', '=1+"text"', '=SUM()']
|
||||
]
|
||||
|
||||
for row_idx, row in enumerate(formulas, start=1):
|
||||
for col_idx, formula in enumerate(row, start=1):
|
||||
ws.cell(row=row_idx, column=col_idx, value=formula)
|
||||
|
||||
wb.save('formula_errors.xlsx')
|
||||
95
test_files/gen_test.py
Normal file
95
test_files/gen_test.py
Normal file
@ -0,0 +1,95 @@
|
||||
import pandas as pd
|
||||
import numpy as np
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
# Create test data
|
||||
data = {
|
||||
'ID': [1, 2, 3, '4', 5, 6, 7, 8, 9, 10],
|
||||
'Date': [
|
||||
'2024-01-01',
|
||||
'01/02/2024',
|
||||
'Invalid Date',
|
||||
'2024-01-04',
|
||||
'05-01-2024',
|
||||
'2024/01/06',
|
||||
datetime.now(),
|
||||
'2024-01-08 ', # Extra space
|
||||
'2024-01-09',
|
||||
None
|
||||
],
|
||||
'Amount': [
|
||||
1000.50,
|
||||
'1,200.75',
|
||||
'abc',
|
||||
-999999999, # Outlier
|
||||
1500.0000, # Extra decimals
|
||||
1600.50,
|
||||
None,
|
||||
' 1800.25 ', # Leading/trailing spaces
|
||||
1900.50,
|
||||
2000
|
||||
],
|
||||
'Category': [
|
||||
'Sales',
|
||||
'Sales ', # Trailing space
|
||||
'SALES', # Inconsistent case
|
||||
'Marketing',
|
||||
'Marketing', # Duplicate
|
||||
None,
|
||||
'Finance',
|
||||
'HR',
|
||||
'HR',
|
||||
'' # Empty string
|
||||
],
|
||||
'Calculation': [
|
||||
'=A2/0', # #DIV/0!
|
||||
'=VLOOKUP("missing",A1:B1,2)', # #N/A
|
||||
'=INVALID_FUNCTION()', # #NAME?
|
||||
'=A1', # Valid
|
||||
None,
|
||||
'=REF!', # #REF!
|
||||
'=VALUE("abc")', # #VALUE!
|
||||
'=1+1',
|
||||
'=SUM()', # Empty sum
|
||||
'=NULL' # #NULL!
|
||||
],
|
||||
'Percentage': [
|
||||
'50%',
|
||||
'0.75', # Inconsistent format
|
||||
'80.00%',
|
||||
'.90', # Missing leading zero
|
||||
'100%',
|
||||
None,
|
||||
'120%', # Outlier
|
||||
'60.5%',
|
||||
'70%',
|
||||
'65' # Missing % symbol
|
||||
]
|
||||
}
|
||||
|
||||
df = pd.DataFrame(data)
|
||||
|
||||
# Add duplicate column
|
||||
df['Category_2'] = df['Category']
|
||||
|
||||
# Create Excel writer
|
||||
writer = pd.ExcelWriter('test_data.xlsx', engine='xlsxwriter')
|
||||
|
||||
# Write visible sheet
|
||||
df.to_excel(writer, sheet_name='Main', index=False)
|
||||
|
||||
# Write hidden sheet with duplicates
|
||||
df.to_excel(writer, sheet_name='Hidden', index=False)
|
||||
|
||||
# Get workbook and worksheet
|
||||
workbook = writer.book
|
||||
worksheet = writer.sheets['Main']
|
||||
|
||||
# Add some formatting inconsistencies
|
||||
format1 = workbook.add_format({'num_format': '#,##0.00'})
|
||||
format2 = workbook.add_format({'num_format': '0.0'})
|
||||
|
||||
worksheet.set_column('C:C', 15, format1)
|
||||
worksheet.write('C4', 1234.56, format2)
|
||||
|
||||
writer.close()
|
||||
BIN
test_files/hidden_cell/consecutive_hidden_rows.xlsx
Normal file
BIN
test_files/hidden_cell/consecutive_hidden_rows.xlsx
Normal file
Binary file not shown.
62
test_files/hidden_cell/gen_test.py
Normal file
62
test_files/hidden_cell/gen_test.py
Normal file
@ -0,0 +1,62 @@
|
||||
import openpyxl
|
||||
from openpyxl import Workbook
|
||||
from openpyxl.styles import Protection
|
||||
from openpyxl.worksheet.dimensions import DimensionHolder, ColumnDimension, RowDimension
|
||||
|
||||
def create_hidden_cells_test():
|
||||
wb = Workbook()
|
||||
ws = wb.active
|
||||
|
||||
ws['A1'] = 'Visible'
|
||||
ws['B1'] = 'Hidden'
|
||||
|
||||
ws.protection.sheet = True
|
||||
ws['B1'].protection = Protection(hidden=True)
|
||||
|
||||
return wb
|
||||
|
||||
def create_hidden_rows_columns_test():
|
||||
wb = Workbook()
|
||||
ws = wb.active
|
||||
|
||||
ws['A1'] = 'Content'
|
||||
ws['B2'] = 'More'
|
||||
ws['C3'] = 'Data'
|
||||
|
||||
# Handle column dimensions
|
||||
col_dims = DimensionHolder(worksheet=ws)
|
||||
col_dims['A'] = ColumnDimension(ws, index='A', hidden=True)
|
||||
col_dims['C'] = ColumnDimension(ws, index='C', hidden=True)
|
||||
ws.column_dimensions = col_dims
|
||||
|
||||
# Handle row dimensions separately
|
||||
for row in [1, 3]:
|
||||
ws.row_dimensions[row] = RowDimension(ws, index=row, hidden=True)
|
||||
|
||||
return wb
|
||||
|
||||
def create_consecutive_hidden_rows_test():
|
||||
wb = Workbook()
|
||||
ws = wb.active
|
||||
|
||||
for i in range(1, 6):
|
||||
ws[f'A{i}'] = f'Row {i}'
|
||||
|
||||
for row in [1, 2, 4, 5]:
|
||||
ws.row_dimensions[row] = RowDimension(ws, index=row, hidden=True)
|
||||
|
||||
return wb
|
||||
|
||||
def main():
|
||||
test_files = {
|
||||
'hidden_cells.xlsx': create_hidden_cells_test(),
|
||||
'hidden_rows_columns.xlsx': create_hidden_rows_columns_test(),
|
||||
'consecutive_hidden_rows.xlsx': create_consecutive_hidden_rows_test()
|
||||
}
|
||||
|
||||
for filename, wb in test_files.items():
|
||||
wb.save(filename)
|
||||
print(f"Created {filename}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
BIN
test_files/hidden_cell/hidden_cells.xlsx
Normal file
BIN
test_files/hidden_cell/hidden_cells.xlsx
Normal file
Binary file not shown.
BIN
test_files/hidden_cell/hidden_rows_columns.xlsx
Normal file
BIN
test_files/hidden_cell/hidden_rows_columns.xlsx
Normal file
Binary file not shown.
BIN
test_files/test_data.xlsx
Normal file
BIN
test_files/test_data.xlsx
Normal file
Binary file not shown.
Loading…
Reference in New Issue
Block a user