import { expect, tap } from '@git.zone/tstest/tapbundle';
import { CorpusLoader } from '../../helpers/corpus.loader.js';
import { PerformanceTracker } from '../../helpers/performance.tracker.js';
tap.test('FD-11: Confidence Scoring - should provide confidence scores for format detection', async () => {
const { FormatDetector } = await import('../../../ts/formats/utils/format.detector.js');
// Test confidence scoring for clear format indicators
const highConfidenceTests = [
{
name: 'Clear UBL Invoice',
xml: `
UBL-HIGH-CONF
2024-01-01
`,
expectedFormat: 'ubl',
expectedConfidence: 'high'
},
{
name: 'Clear CII Invoice',
xml: `
CII-HIGH-CONF
`,
expectedFormat: 'cii',
expectedConfidence: 'high'
},
{
name: 'Clear XRechnung',
xml: `
urn:cen.eu:en16931:2017#compliant#urn:xoev-de:kosit:standard:xrechnung_3.0
XRECH-HIGH-CONF
`,
expectedFormat: 'xrechnung',
expectedConfidence: 'high'
}
];
for (const test of highConfidenceTests) {
const { result: format } = await PerformanceTracker.track(
'confidence-scoring-high',
async () => FormatDetector.detectFormat(test.xml)
);
console.log(`${test.name}: ${format}`);
// For now, just test that detection works
// In the future, this could test actual confidence scoring
const formatStr = format.toString().toLowerCase();
const hasExpectedFormat = formatStr.includes(test.expectedFormat);
if (hasExpectedFormat) {
console.log(` ✓ High confidence detection successful`);
} else {
console.log(` ○ Expected ${test.expectedFormat}, got ${format}`);
}
// Note: Actual confidence scoring would be tested here when implemented
// expect(result.confidence).toBeGreaterThan(0.9);
}
});
tap.test('FD-11: Low Confidence Cases - should handle ambiguous formats with lower confidence', async () => {
const { FormatDetector } = await import('../../../ts/formats/utils/format.detector.js');
const lowConfidenceTests = [
{
name: 'Minimal XML without clear indicators',
xml: `
AMBIGUOUS-001
2024-01-01
`,
expectedConfidence: 'low'
},
{
name: 'Mixed namespace elements',
xml: `
MIXED-001
Value1
Value2
`,
expectedConfidence: 'low'
},
{
name: 'Partial UBL structure',
xml: `
PARTIAL-UBL
`,
expectedConfidence: 'medium'
}
];
for (const test of lowConfidenceTests) {
const { result: format } = await PerformanceTracker.track(
'confidence-scoring-low',
async () => FormatDetector.detectFormat(test.xml)
);
console.log(`${test.name}: ${format}`);
// Should detect something, but with appropriate confidence
const formatStr = format.toString().toLowerCase();
if (formatStr === 'unknown') {
console.log(` ✓ Correctly identified as unknown for ambiguous input`);
} else {
console.log(` ○ Detected as ${format} (confidence scoring would help here)`);
}
// Note: Actual confidence scoring would be tested here when implemented
// expect(result.confidence).toBeLessThan(0.7);
}
});
tap.test('FD-11: Confidence Scoring Algorithm - should test confidence calculation factors', async () => {
console.log('Testing confidence scoring factors (placeholder for future implementation)');
// This test documents what confidence scoring should consider
const confidenceFactors = [
{
factor: 'Namespace presence and correctness',
description: 'Strong namespace match should increase confidence',
weight: 'high'
},
{
factor: 'Root element name match',
description: 'Correct root element increases confidence',
weight: 'high'
},
{
factor: 'Required child elements present',
description: 'Expected structure elements boost confidence',
weight: 'medium'
},
{
factor: 'Profile/customization IDs',
description: 'Specific profile markers provide high confidence',
weight: 'high'
},
{
factor: 'Document completeness',
description: 'More complete documents have higher confidence',
weight: 'low'
}
];
console.log('\nConfidence Scoring Factors (for future implementation):');
confidenceFactors.forEach((factor, index) => {
console.log(` ${index + 1}. ${factor.factor} (${factor.weight} weight)`);
console.log(` ${factor.description}`);
});
// Placeholder test that passes
expect(confidenceFactors.length).toEqual(5);
});
tap.test('FD-11: Format Detection with Confidence Thresholds - should respect confidence thresholds', async () => {
const { FormatDetector } = await import('../../../ts/formats/utils/format.detector.js');
// Test case where confidence might affect the result
const thresholdTest = {
name: 'Borderline UBL case',
xml: `
`
};
const { result: format } = await PerformanceTracker.track(
'confidence-threshold-test',
async () => FormatDetector.detectFormat(thresholdTest.xml)
);
console.log(`${thresholdTest.name}: ${format}`);
// For now, just test that it doesn't crash
expect(format).toBeTruthy();
// Future implementation could test:
// - High threshold: might return UNKNOWN for low confidence
// - Low threshold: would return detected format even with low confidence
// - Medium threshold: balanced approach
console.log('Note: Confidence threshold testing requires confidence scoring implementation');
});
tap.test('FD-11: Real File Confidence Distribution - should show confidence patterns in real files', async () => {
// Test confidence distribution across real corpus files
const ciiFiles = await CorpusLoader.getFiles('CII_XMLRECHNUNG');
const ublFiles = await CorpusLoader.getFiles('UBL_XMLRECHNUNG');
const testFiles = [
...ciiFiles.slice(0, 2),
...ublFiles.slice(0, 2)
];
if (testFiles.length === 0) {
console.log('No test files available for confidence distribution test');
return;
}
console.log(`Analyzing confidence patterns in ${testFiles.length} real files`);
const { FormatDetector } = await import('../../../ts/formats/utils/format.detector.js');
const { promises: fs } = await import('fs');
const path = await import('path');
const results: { file: string; format: string; size: number }[] = [];
for (const filePath of testFiles) {
try {
const xmlContent = await fs.readFile(filePath, 'utf-8');
const fileName = path.basename(filePath);
const { result: format, metric } = await PerformanceTracker.track(
'real-file-confidence',
async () => FormatDetector.detectFormat(xmlContent)
);
results.push({
file: fileName,
format: format.toString(),
size: xmlContent.length
});
console.log(` ${fileName}: ${format} (${Math.round(xmlContent.length/1024)}KB, ${metric.duration.toFixed(1)}ms)`);
} catch (error) {
console.log(` ${path.basename(filePath)}: Error - ${error.message}`);
}
}
// Analyze format distribution
const formatCounts: Record = {};
results.forEach(r => {
const format = r.format.toLowerCase();
formatCounts[format] = (formatCounts[format] || 0) + 1;
});
console.log('\nFormat Distribution:');
Object.entries(formatCounts).forEach(([format, count]) => {
const percentage = (count / results.length * 100).toFixed(1);
console.log(` ${format}: ${count} files (${percentage}%)`);
});
expect(results.length).toBeGreaterThan(0);
});
tap.start();