2025-12-07 03:29:54 +01:00
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<!DOCTYPE html>
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<html lang="da">
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<head>
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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>Templates - BMC Hub</title>
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet">
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.11.1/font/bootstrap-icons.css">
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<style>
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body {
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background-color: #f8f9fa;
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padding-top: 80px;
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}
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.navbar {
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background: #ffffff;
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box-shadow: 0 2px 15px rgba(0,0,0,0.03);
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border-bottom: 1px solid #eee;
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}
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.template-card {
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cursor: pointer;
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transition: all 0.2s;
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}
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.template-card:hover {
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transform: translateY(-2px);
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box-shadow: 0 4px 20px rgba(0,0,0,0.1);
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}
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.test-modal .pdf-preview {
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max-height: 400px;
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overflow-y: auto;
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background: #f8f9fa;
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padding: 15px;
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border-radius: 8px;
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font-family: monospace;
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font-size: 12px;
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white-space: pre-wrap;
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border: 1px solid #dee2e6;
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}
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</style>
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</head>
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<body>
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<!-- Navbar -->
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<nav class="navbar navbar-expand-lg fixed-top">
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<div class="container-fluid">
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<a class="navbar-brand" href="/">
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<i class="bi bi-speedometer2 me-2"></i>BMC Hub
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</a>
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<div class="navbar-nav ms-auto">
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<a class="nav-link" href="/billing/supplier-invoices">
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<i class="bi bi-arrow-left me-1"></i>Tilbage til Fakturaer
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</a>
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</div>
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</div>
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</nav>
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<div class="container mt-4">
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<div class="d-flex justify-content-between align-items-center mb-4">
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<div>
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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<h2><i class="bi bi-file-earmark-code me-2"></i>Invoice2Data Templates (YAML)</h2>
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<p class="text-muted">YAML-baserede templates til automatisk faktura-udtrækning</p>
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2025-12-07 03:29:54 +01:00
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</div>
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</div>
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<div id="templatesList" class="row">
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<!-- Templates loaded here -->
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</div>
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</div>
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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<!-- Edit YAML Category Modal -->
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<div class="modal fade" id="editYamlCategoryModal" tabindex="-1">
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<div class="modal-dialog">
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<div class="modal-content">
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<div class="modal-header">
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<h5 class="modal-title">
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<i class="bi bi-pencil me-2"></i>Rediger Kategori: <span id="yamlTemplateName"></span>
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</h5>
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<button type="button" class="btn-close" data-bs-dismiss="modal"></button>
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</div>
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<div class="modal-body">
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<div class="mb-3">
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<label class="form-label">Produkt Kategori</label>
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<select class="form-select" id="yamlCategorySelect">
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<option value="varesalg">🛒 Varesalg</option>
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<option value="drift">🔧 Drift</option>
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<option value="anlæg">🏗️ Anlæg</option>
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<option value="abonnement">📅 Abonnement</option>
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<option value="lager">📦 Lager</option>
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<option value="udlejning">🏪 Udlejning</option>
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</select>
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</div>
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<div class="alert alert-info">
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<i class="bi bi-info-circle me-2"></i>
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<small>Dette ændrer default_product_category i YAML filen. Filen bliver opdateret på serveren.</small>
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</div>
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</div>
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<div class="modal-footer">
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<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Annuller</button>
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<button type="button" class="btn btn-primary" onclick="saveYamlCategory()">
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<i class="bi bi-save me-2"></i>Gem Kategori
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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>
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<!-- View YAML Content Modal -->
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<div class="modal fade" id="viewYamlModal" tabindex="-1">
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<div class="modal-dialog modal-lg">
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<div class="modal-content">
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<div class="modal-header">
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<h5 class="modal-title">
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<i class="bi bi-file-earmark-code me-2"></i>YAML Indhold: <span id="viewYamlTemplateName"></span>
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</h5>
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<button type="button" class="btn-close" data-bs-dismiss="modal"></button>
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</div>
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<div class="modal-body">
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<pre id="yamlContent" style="background: #f8f9fa; padding: 15px; border-radius: 8px; max-height: 600px; overflow-y: auto;"><code></code></pre>
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</div>
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<div class="modal-footer">
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<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Luk</button>
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</div>
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</div>
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</div>
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</div>
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2025-12-07 03:29:54 +01:00
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<!-- Test Modal -->
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<div class="modal fade test-modal" id="testModal" tabindex="-1">
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<div class="modal-dialog modal-xl">
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<div class="modal-content">
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<div class="modal-header">
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<h5 class="modal-title">
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<i class="bi bi-flask me-2"></i>Test Template: <span id="modalTemplateName"></span>
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</h5>
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<button type="button" class="btn-close" data-bs-dismiss="modal"></button>
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</div>
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<div class="modal-body">
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<div class="row">
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<div class="col-md-12 mb-3">
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<label class="form-label">Vælg PDF fil til test</label>
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<select class="form-select" id="testFileSelect">
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<option value="">-- Vælg fil --</option>
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</select>
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</div>
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</div>
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<div id="testResultsContainer" class="d-none">
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<div class="row">
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<div class="col-md-5">
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<h6>PDF Preview</h6>
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<div class="pdf-preview" id="testPdfPreview"></div>
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</div>
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<div class="col-md-7">
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<div id="testResults" class="alert" role="alert">
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<!-- Test results shown here -->
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="modal-footer">
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<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Luk</button>
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<button type="button" class="btn btn-primary" onclick="runTest()">
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<i class="bi bi-play-fill me-2"></i>Kør Test
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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>
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<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js"></script>
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<script>
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let currentTemplateId = null;
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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let currentTemplateIsInvoice2data = false;
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2025-12-07 03:29:54 +01:00
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document.addEventListener('DOMContentLoaded', async () => {
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await loadTemplates();
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await loadPendingFiles();
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});
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async function loadTemplates() {
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try {
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const response = await fetch('/api/v1/supplier-invoices/templates');
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const templates = await response.json();
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const container = document.getElementById('templatesList');
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container.innerHTML = '';
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if (templates.length === 0) {
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container.innerHTML = `
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<div class="col-12">
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<div class="alert alert-info">
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<i class="bi bi-info-circle me-2"></i>
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Ingen templates fundet. Klik "Ny Template" for at oprette den første.
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</div>
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</div>
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`;
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return;
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}
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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// Filter to only show invoice2data templates
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const invoice2dataTemplates = templates.filter(t => t.template_type === 'invoice2data');
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if (invoice2dataTemplates.length === 0) {
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container.innerHTML = `
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<div class="col-12">
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<div class="alert alert-info">
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<i class="bi bi-info-circle me-2"></i>
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Ingen YAML templates endnu. Opret .yml filer i <code>data/invoice_templates/</code>
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</div>
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</div>
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`;
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return;
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}
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invoice2dataTemplates.forEach(template => {
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2025-12-07 03:29:54 +01:00
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const detectionPatterns = template.detection_patterns || [];
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const fieldMappings = template.field_mappings || {};
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const fieldCount = Object.keys(fieldMappings).filter(k => !['lines_start', 'lines_end', 'line_item'].includes(k)).length;
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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const category = template.default_product_category || 'varesalg';
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const categoryIcons = {
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'varesalg': '🛒',
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'drift': '🔧',
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'anlæg': '🏗️',
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'abonnement': '📅',
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'lager': '📦',
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'udlejning': '🏪'
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};
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const categoryIcon = categoryIcons[category] || '📦';
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2025-12-07 03:29:54 +01:00
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container.innerHTML += `
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<div class="col-md-4 mb-3">
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<div class="card template-card">
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<div class="card-body">
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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<div class="d-flex justify-content-between align-items-start mb-2">
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<h5 class="card-title mb-0">
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<i class="bi bi-file-earmark-code me-2"></i>${template.template_name}
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</h5>
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<span class="badge bg-success">YAML</span>
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</div>
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2025-12-07 03:29:54 +01:00
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<p class="card-text text-muted mb-2">
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<small>
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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<i class="bi bi-building me-1"></i>${template.vendor_name || 'Ingen leverandør'}
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${template.vendor_cvr ? `<br><i class="bi bi-hash me-1"></i>CVR: ${template.vendor_cvr}` : ''}
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<br><i class="bi bi-check-circle me-1"></i>${detectionPatterns.length} detektionsmønstre
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<br><i class="bi bi-input-cursor me-1"></i>${fieldCount} felter
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<br><strong>${categoryIcon} Kategori: ${category}</strong>
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2025-12-07 03:29:54 +01:00
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</small>
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</p>
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feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
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<div class="d-flex gap-2 flex-wrap">
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<button class="btn btn-sm btn-primary" onclick="viewYamlContent('${template.yaml_filename}')" title="Vis YAML indhold">
|
|
|
|
|
<i class="bi bi-file-earmark-code"></i> Vis YAML
|
2025-12-08 23:46:18 +01:00
|
|
|
</button>
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
<button class="btn btn-sm btn-warning" onclick="editYamlCategory('${template.yaml_filename}', '${category}')" title="Rediger kategori">
|
|
|
|
|
<i class="bi bi-pencil"></i> Kategori
|
2025-12-07 03:29:54 +01:00
|
|
|
</button>
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
<button class="btn btn-sm btn-info" onclick="openTestModal('${template.yaml_filename}', '${template.template_name}', true, ${template.vendor_id || 'null'})">
|
|
|
|
|
<i class="bi bi-flask"></i> Test
|
2025-12-07 03:29:54 +01:00
|
|
|
</button>
|
|
|
|
|
</div>
|
|
|
|
|
</div>
|
|
|
|
|
</div>
|
|
|
|
|
</div>
|
|
|
|
|
`;
|
|
|
|
|
});
|
|
|
|
|
} catch (error) {
|
|
|
|
|
console.error('Failed to load templates:', error);
|
|
|
|
|
alert('Kunne ikke hente templates');
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2025-12-08 23:46:18 +01:00
|
|
|
async function loadPendingFiles(vendorId = null) {
|
2025-12-07 03:29:54 +01:00
|
|
|
try {
|
2025-12-08 23:46:18 +01:00
|
|
|
const response = await fetch('/api/v1/pending-supplier-invoice-files');
|
2025-12-07 03:29:54 +01:00
|
|
|
const data = await response.json();
|
|
|
|
|
|
|
|
|
|
const select = document.getElementById('testFileSelect');
|
|
|
|
|
select.innerHTML = '<option value="">-- Vælg fil --</option>';
|
|
|
|
|
|
2025-12-08 23:46:18 +01:00
|
|
|
// Filter by vendor if provided
|
|
|
|
|
let files = data.files;
|
|
|
|
|
if (vendorId) {
|
|
|
|
|
files = files.filter(f => f.vendor_matched_id == vendorId);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
files.forEach(file => {
|
2025-12-07 03:29:54 +01:00
|
|
|
select.innerHTML += `<option value="${file.file_id}">${file.filename}</option>`;
|
|
|
|
|
});
|
2025-12-08 23:46:18 +01:00
|
|
|
|
|
|
|
|
// Show message if no files for this vendor
|
|
|
|
|
if (vendorId && files.length === 0) {
|
|
|
|
|
select.innerHTML += '<option value="" disabled>Ingen filer fra denne leverandør</option>';
|
|
|
|
|
}
|
2025-12-07 03:29:54 +01:00
|
|
|
} catch (error) {
|
|
|
|
|
console.error('Failed to load files:', error);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
async function openTestModal(templateId, templateName, isInvoice2data = false, vendorId = null) {
|
2025-12-07 03:29:54 +01:00
|
|
|
currentTemplateId = templateId;
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
currentTemplateIsInvoice2data = isInvoice2data;
|
2025-12-07 03:29:54 +01:00
|
|
|
document.getElementById('modalTemplateName').textContent = templateName;
|
|
|
|
|
document.getElementById('testResultsContainer').classList.add('d-none');
|
|
|
|
|
document.getElementById('testFileSelect').value = '';
|
|
|
|
|
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
// For invoice2data templates, use vendorId if provided
|
|
|
|
|
if (isInvoice2data && vendorId) {
|
|
|
|
|
await loadPendingFiles(vendorId);
|
|
|
|
|
} else if (!isInvoice2data) {
|
|
|
|
|
// Load database template to get vendor_id
|
|
|
|
|
try {
|
|
|
|
|
const response = await fetch(`/api/v1/supplier-invoices/templates/${templateId}`);
|
|
|
|
|
const template = await response.json();
|
|
|
|
|
|
|
|
|
|
// Reload files filtered by this template's vendor
|
|
|
|
|
await loadPendingFiles(template.vendor_id);
|
|
|
|
|
} catch (error) {
|
|
|
|
|
console.error('Failed to load template:', error);
|
|
|
|
|
await loadPendingFiles(); // Fallback to all files
|
|
|
|
|
}
|
|
|
|
|
} else {
|
|
|
|
|
// No vendor - load all files
|
|
|
|
|
await loadPendingFiles();
|
2025-12-08 23:46:18 +01:00
|
|
|
}
|
|
|
|
|
|
2025-12-07 03:29:54 +01:00
|
|
|
const modal = new bootstrap.Modal(document.getElementById('testModal'));
|
|
|
|
|
modal.show();
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
async function runTest() {
|
|
|
|
|
const fileId = document.getElementById('testFileSelect').value;
|
|
|
|
|
|
|
|
|
|
if (!fileId) {
|
|
|
|
|
alert('Vælg en PDF fil');
|
|
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (!currentTemplateId) {
|
|
|
|
|
alert('Ingen template valgt');
|
|
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
try {
|
|
|
|
|
// Load PDF text
|
|
|
|
|
const fileResponse = await fetch(`/api/v1/supplier-invoices/reprocess/${fileId}`, {
|
|
|
|
|
method: 'POST'
|
|
|
|
|
});
|
|
|
|
|
const fileData = await fileResponse.json();
|
|
|
|
|
const pdfText = fileData.pdf_text;
|
|
|
|
|
|
|
|
|
|
// Show PDF preview
|
|
|
|
|
document.getElementById('testPdfPreview').textContent = pdfText;
|
|
|
|
|
document.getElementById('testResultsContainer').classList.remove('d-none');
|
|
|
|
|
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
// Test template - use different endpoint based on type
|
|
|
|
|
let testUrl;
|
|
|
|
|
if (currentTemplateIsInvoice2data) {
|
|
|
|
|
testUrl = `/api/v1/supplier-invoices/templates/invoice2data/${currentTemplateId}/test`;
|
|
|
|
|
} else {
|
|
|
|
|
testUrl = `/api/v1/supplier-invoices/templates/${currentTemplateId}/test`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const testResponse = await fetch(testUrl, {
|
2025-12-07 03:29:54 +01:00
|
|
|
method: 'POST',
|
|
|
|
|
headers: { 'Content-Type': 'application/json' },
|
|
|
|
|
body: JSON.stringify({ pdf_text: pdfText })
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
if (!testResponse.ok) {
|
|
|
|
|
throw new Error('Test fejlede');
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const result = await testResponse.json();
|
|
|
|
|
|
|
|
|
|
// Display results
|
|
|
|
|
const testResults = document.getElementById('testResults');
|
|
|
|
|
testResults.className = 'alert';
|
|
|
|
|
|
|
|
|
|
let detectionHtml = '<h6>Detektionsmønstre:</h6><ul class="mb-2">';
|
|
|
|
|
for (let dr of result.detection_results) {
|
|
|
|
|
detectionHtml += `<li>${dr.found ? '✅' : '❌'} "${dr.pattern}" (weight: ${dr.weight})</li>`;
|
|
|
|
|
}
|
|
|
|
|
detectionHtml += '</ul>';
|
|
|
|
|
|
|
|
|
|
let extractedHtml = '<h6>Udtrækkede felter:</h6><ul class="mb-2">';
|
|
|
|
|
const extracted = result.extracted_fields || {};
|
|
|
|
|
if (Object.keys(extracted).length > 0) {
|
|
|
|
|
for (let [field, value] of Object.entries(extracted)) {
|
|
|
|
|
extractedHtml += `<li>✅ <strong>${field}:</strong> "${value}"</li>`;
|
|
|
|
|
}
|
|
|
|
|
} else {
|
|
|
|
|
extractedHtml += '<li class="text-muted">Ingen felter udtrækket</li>';
|
|
|
|
|
}
|
|
|
|
|
extractedHtml += '</ul>';
|
|
|
|
|
|
|
|
|
|
// Display line items
|
|
|
|
|
let linesHtml = '';
|
|
|
|
|
const lineItems = result.line_items || [];
|
|
|
|
|
if (lineItems.length > 0) {
|
|
|
|
|
linesHtml = `
|
|
|
|
|
<h6 class="mt-3">Varelinjer (${lineItems.length} stk):</h6>
|
|
|
|
|
<div class="table-responsive">
|
|
|
|
|
<table class="table table-sm table-bordered">
|
|
|
|
|
<thead>
|
|
|
|
|
<tr>
|
|
|
|
|
<th>#</th>
|
|
|
|
|
${lineItems[0].description ? '<th>Beskrivelse</th>' : ''}
|
|
|
|
|
${lineItems[0].quantity ? '<th>Antal</th>' : ''}
|
|
|
|
|
${lineItems[0].unit_price ? '<th>Pris</th>' : ''}
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
${lineItems.some(l => l.circuit_id || l.ip_address) ? '<th>Kredsløb/IP</th>' : ''}
|
|
|
|
|
${lineItems.some(l => l.location_street) ? '<th>Adresse</th>' : ''}
|
2025-12-07 03:29:54 +01:00
|
|
|
</tr>
|
|
|
|
|
</thead>
|
|
|
|
|
<tbody>`;
|
|
|
|
|
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
lineItems.forEach((line, idx) => {
|
|
|
|
|
const locationText = [line.location_street, line.location_zip, line.location_city].filter(x => x).join(' ');
|
|
|
|
|
const circuitText = line.circuit_id || line.ip_address || '';
|
|
|
|
|
|
2025-12-07 03:29:54 +01:00
|
|
|
linesHtml += `<tr>
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
<td>${idx + 1}</td>
|
2025-12-07 03:29:54 +01:00
|
|
|
${line.description ? `<td>${line.description}</td>` : ''}
|
|
|
|
|
${line.quantity ? `<td>${line.quantity}</td>` : ''}
|
|
|
|
|
${line.unit_price ? `<td>${line.unit_price}</td>` : ''}
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
${lineItems.some(l => l.circuit_id || l.ip_address) ? `<td><small>${circuitText}</small></td>` : ''}
|
|
|
|
|
${lineItems.some(l => l.location_street) ? `<td><small>${locationText}</small></td>` : ''}
|
2025-12-07 03:29:54 +01:00
|
|
|
</tr>`;
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
linesHtml += `</tbody></table></div>`;
|
|
|
|
|
} else {
|
|
|
|
|
linesHtml = `
|
|
|
|
|
<h6 class="mt-3 text-warning">⚠️ Ingen varelinjer fundet</h6>
|
|
|
|
|
<p class="text-muted small">
|
|
|
|
|
Tjek at:<br>
|
|
|
|
|
• "Linje Start" markør findes i PDF'en<br>
|
|
|
|
|
• "Linje Slut" markør findes i PDF'en<br>
|
|
|
|
|
• Linje pattern matcher dine varelinjer (én linje ad gangen)<br>
|
|
|
|
|
<br>
|
|
|
|
|
Tip: Varelinjer skal være på én linje hver. Hvis din PDF har multi-line varelinjer,
|
|
|
|
|
skal du justere pattern eller simplificere udtrækningen.
|
|
|
|
|
</p>
|
|
|
|
|
`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
testResults.innerHTML = `
|
|
|
|
|
<h5>${result.matched ? '✅' : '❌'} Template ${result.matched ? 'MATCHER' : 'MATCHER IKKE'}</h5>
|
|
|
|
|
<p><strong>Confidence:</strong> ${(result.confidence * 100).toFixed(0)}% (threshold: 70%)</p>
|
|
|
|
|
${detectionHtml}
|
|
|
|
|
${extractedHtml}
|
|
|
|
|
${linesHtml}
|
|
|
|
|
`;
|
|
|
|
|
|
|
|
|
|
if (result.matched && (Object.keys(extracted).length > 0 || lineItems.length > 0)) {
|
|
|
|
|
testResults.classList.add('alert-success');
|
|
|
|
|
} else if (result.matched) {
|
|
|
|
|
testResults.classList.add('alert-warning');
|
|
|
|
|
} else {
|
|
|
|
|
testResults.classList.add('alert-danger');
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
} catch (error) {
|
|
|
|
|
console.error('Test failed:', error);
|
|
|
|
|
const testResults = document.getElementById('testResults');
|
|
|
|
|
testResults.className = 'alert alert-danger';
|
|
|
|
|
testResults.innerHTML = `<strong>Test fejlede:</strong> ${error.message}`;
|
|
|
|
|
document.getElementById('testResultsContainer').classList.remove('d-none');
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
let currentYamlTemplate = null;
|
|
|
|
|
|
|
|
|
|
async function viewYamlContent(yamlFilename) {
|
|
|
|
|
try {
|
|
|
|
|
const response = await fetch(`/api/v1/supplier-invoices/templates/invoice2data/${yamlFilename}/content`);
|
|
|
|
|
|
|
|
|
|
if (!response.ok) {
|
|
|
|
|
throw new Error('Kunne ikke hente YAML indhold');
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const data = await response.json();
|
|
|
|
|
document.getElementById('viewYamlTemplateName').textContent = yamlFilename + '.yml';
|
|
|
|
|
document.getElementById('yamlContent').querySelector('code').textContent = data.content;
|
|
|
|
|
|
|
|
|
|
const modal = new bootstrap.Modal(document.getElementById('viewYamlModal'));
|
|
|
|
|
modal.show();
|
|
|
|
|
} catch (error) {
|
|
|
|
|
console.error('Failed to load YAML content:', error);
|
|
|
|
|
alert('❌ Kunne ikke hente YAML indhold');
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function editYamlCategory(yamlFilename, currentCategory) {
|
|
|
|
|
currentYamlTemplate = yamlFilename;
|
|
|
|
|
document.getElementById('yamlTemplateName').textContent = yamlFilename + '.yml';
|
|
|
|
|
document.getElementById('yamlCategorySelect').value = currentCategory;
|
|
|
|
|
|
|
|
|
|
const modal = new bootstrap.Modal(document.getElementById('editYamlCategoryModal'));
|
|
|
|
|
modal.show();
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
async function saveYamlCategory() {
|
|
|
|
|
const newCategory = document.getElementById('yamlCategorySelect').value;
|
|
|
|
|
|
|
|
|
|
if (!currentYamlTemplate) {
|
|
|
|
|
alert('Ingen template valgt');
|
2025-12-07 03:29:54 +01:00
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
try {
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
const response = await fetch(`/api/v1/supplier-invoices/templates/invoice2data/${currentYamlTemplate}/category`, {
|
|
|
|
|
method: 'PUT',
|
|
|
|
|
headers: { 'Content-Type': 'application/json' },
|
|
|
|
|
body: JSON.stringify({ category: newCategory })
|
2025-12-07 03:29:54 +01:00
|
|
|
});
|
|
|
|
|
|
|
|
|
|
if (response.ok) {
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
alert('✅ Kategori opdateret i YAML fil');
|
|
|
|
|
bootstrap.Modal.getInstance(document.getElementById('editYamlCategoryModal')).hide();
|
|
|
|
|
await loadTemplates(); // Reload to show new category
|
2025-12-07 03:29:54 +01:00
|
|
|
} else {
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
const error = await response.json();
|
|
|
|
|
throw new Error(error.detail || 'Opdatering fejlede');
|
2025-12-07 03:29:54 +01:00
|
|
|
}
|
|
|
|
|
} catch (error) {
|
feat: Implement quick analysis on PDF upload for CVR, document type, and number extraction
- Added `check_invoice_number_exists` method in `EconomicService` to verify invoice numbers in e-conomic journals.
- Introduced `quick_analysis_on_upload` method in `OllamaService` for extracting critical fields from uploaded PDFs, including CVR, document type, and document number.
- Created migration script to add new fields for storing detected CVR, vendor ID, document type, and document number in the `incoming_files` table.
- Developed comprehensive tests for the quick analysis functionality, validating CVR detection, document type identification, and invoice number extraction.
2025-12-09 14:54:33 +01:00
|
|
|
console.error('Category update failed:', error);
|
|
|
|
|
alert('❌ Kunne ikke opdatere kategori: ' + error.message);
|
2025-12-07 03:29:54 +01:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
</script>
|
|
|
|
|
|
|
|
|
|
</body>
|
|
|
|
|
</html>
|
