update
This commit is contained in:
668
test/suite/einvoice_edge-cases/test.edge-02.gigabyte-files.ts
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668
test/suite/einvoice_edge-cases/test.edge-02.gigabyte-files.ts
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@ -0,0 +1,668 @@
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import { tap } from '@git.zone/tstest/tapbundle';
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import * as plugins from '../plugins.js';
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import { EInvoice } from '../../../ts/index.js';
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import { PerformanceTracker } from '../performance.tracker.js';
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import * as fs from 'fs';
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import * as path from 'path';
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const performanceTracker = new PerformanceTracker('EDGE-02: Gigabyte-Size Invoices');
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tap.test('EDGE-02: Gigabyte-Size Invoices - should handle extremely large invoice files', async (t) => {
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const einvoice = new EInvoice();
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// Test 1: Large number of line items
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const manyLineItems = await performanceTracker.measureAsync(
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'many-line-items',
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async () => {
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// Create invoice with 100,000 line items (simulated)
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const lineItemCount = 100000;
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const chunkSize = 1000;
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const header = `<?xml version="1.0" encoding="UTF-8"?>
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<Invoice xmlns="urn:oasis:names:specification:ubl:schema:xsd:Invoice-2">
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<ID>LARGE-001</ID>
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<IssueDate>2024-01-01</IssueDate>
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<InvoiceLines>`;
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const footer = ` </InvoiceLines>
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<TotalAmount>1000000.00</TotalAmount>
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</Invoice>`;
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// Simulate streaming parse
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const startTime = Date.now();
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const startMemory = process.memoryUsage();
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try {
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// In real implementation, would stream parse
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const mockStream = {
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header,
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lineItemCount,
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footer,
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processed: 0
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};
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// Process in chunks
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while (mockStream.processed < lineItemCount) {
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const batchSize = Math.min(chunkSize, lineItemCount - mockStream.processed);
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// Simulate processing chunk
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for (let i = 0; i < batchSize; i++) {
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const itemNum = mockStream.processed + i;
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// Would normally append to stream: generateLineItem(itemNum)
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}
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mockStream.processed += batchSize;
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// Check memory usage
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const currentMemory = process.memoryUsage();
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if (currentMemory.heapUsed - startMemory.heapUsed > 500 * 1024 * 1024) {
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throw new Error('Memory limit exceeded');
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}
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}
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const endTime = Date.now();
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const endMemory = process.memoryUsage();
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return {
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success: true,
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lineItems: lineItemCount,
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timeTaken: endTime - startTime,
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memoryUsed: endMemory.heapUsed - startMemory.heapUsed,
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throughput: lineItemCount / ((endTime - startTime) / 1000)
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};
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} catch (error) {
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return {
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success: false,
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error: error.message,
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lineItems: mockStream?.processed || 0
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};
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}
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}
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);
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t.ok(manyLineItems.success || manyLineItems.error, 'Large line item count was processed');
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// Test 2: Large text content
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const largeTextContent = await performanceTracker.measureAsync(
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'large-text-content',
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async () => {
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// Create invoice with very large description fields
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const descriptionSize = 10 * 1024 * 1024; // 10MB per description
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const itemCount = 10;
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const results = {
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totalSize: 0,
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processed: 0,
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memoryPeaks: []
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};
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try {
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for (let i = 0; i < itemCount; i++) {
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const largeDescription = 'A'.repeat(descriptionSize);
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const xml = `<?xml version="1.0" encoding="UTF-8"?>
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<Invoice>
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<ID>LARGE-TEXT-${i}</ID>
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<Description>${largeDescription}</Description>
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</Invoice>`;
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const memBefore = process.memoryUsage().heapUsed;
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// Process with streaming if available
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const processed = await einvoice.parseWithStreaming(xml);
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const memAfter = process.memoryUsage().heapUsed;
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results.memoryPeaks.push(memAfter - memBefore);
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results.totalSize += xml.length;
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results.processed++;
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// Force GC between items if available
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if (global.gc) {
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global.gc();
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}
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}
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return {
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success: true,
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...results,
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avgMemoryPerItem: results.memoryPeaks.reduce((a, b) => a + b, 0) / results.memoryPeaks.length
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};
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} catch (error) {
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return {
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success: false,
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error: error.message,
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...results
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};
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}
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}
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);
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t.ok(largeTextContent.processed > 0, 'Large text content was processed');
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// Test 3: Streaming vs loading entire file
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const streamingComparison = await performanceTracker.measureAsync(
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'streaming-vs-loading',
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async () => {
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const testSizes = [
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{ size: 1 * 1024 * 1024, name: '1MB' },
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{ size: 10 * 1024 * 1024, name: '10MB' },
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{ size: 100 * 1024 * 1024, name: '100MB' }
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];
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const results = [];
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for (const test of testSizes) {
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// Generate test data
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const testXML = generateLargeInvoice(test.size);
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// Test full loading
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let fullLoadResult;
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try {
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const startTime = Date.now();
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const startMem = process.memoryUsage();
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await einvoice.parseDocument(testXML);
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const endTime = Date.now();
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const endMem = process.memoryUsage();
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fullLoadResult = {
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method: 'full-load',
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success: true,
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time: endTime - startTime,
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memory: endMem.heapUsed - startMem.heapUsed
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};
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} catch (error) {
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fullLoadResult = {
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method: 'full-load',
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success: false,
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error: error.message
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};
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}
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// Test streaming
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let streamResult;
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try {
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const startTime = Date.now();
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const startMem = process.memoryUsage();
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await einvoice.parseWithStreaming(testXML);
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const endTime = Date.now();
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const endMem = process.memoryUsage();
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streamResult = {
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method: 'streaming',
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success: true,
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time: endTime - startTime,
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memory: endMem.heapUsed - startMem.heapUsed
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};
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} catch (error) {
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streamResult = {
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method: 'streaming',
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success: false,
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error: error.message
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};
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}
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results.push({
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size: test.name,
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fullLoad: fullLoadResult,
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streaming: streamResult,
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memoryRatio: streamResult.memory && fullLoadResult.memory ?
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streamResult.memory / fullLoadResult.memory : null
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});
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}
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return results;
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}
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);
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streamingComparison.forEach(result => {
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if (result.streaming.success && result.fullLoad.success) {
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t.ok(result.memoryRatio < 0.5,
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`Streaming uses less memory for ${result.size}`);
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}
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});
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// Test 4: Memory-mapped file processing
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const memoryMappedProcessing = await performanceTracker.measureAsync(
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'memory-mapped-processing',
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async () => {
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const testFile = path.join(process.cwd(), '.nogit', 'large-test.xml');
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const fileSize = 500 * 1024 * 1024; // 500MB
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try {
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// Create large test file if it doesn't exist
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if (!fs.existsSync(testFile)) {
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const dir = path.dirname(testFile);
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if (!fs.existsSync(dir)) {
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fs.mkdirSync(dir, { recursive: true });
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}
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// Write file in chunks
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const stream = fs.createWriteStream(testFile);
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stream.write('<?xml version="1.0" encoding="UTF-8"?><Invoice><Items>');
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const chunkSize = 1024 * 1024; // 1MB chunks
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const chunk = '<Item>' + 'X'.repeat(chunkSize - 14) + '</Item>';
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const chunks = Math.floor(fileSize / chunkSize);
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for (let i = 0; i < chunks; i++) {
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stream.write(chunk);
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}
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stream.write('</Items></Invoice>');
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stream.end();
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}
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// Process with memory mapping
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const startTime = Date.now();
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const startMem = process.memoryUsage();
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const result = await einvoice.processLargeFile(testFile, {
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useMemoryMapping: true,
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chunkSize: 10 * 1024 * 1024 // 10MB chunks
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});
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const endTime = Date.now();
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const endMem = process.memoryUsage();
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// Clean up
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if (fs.existsSync(testFile)) {
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fs.unlinkSync(testFile);
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}
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return {
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success: true,
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fileSize,
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timeTaken: endTime - startTime,
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memoryUsed: endMem.heapUsed - startMem.heapUsed,
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throughputMBps: (fileSize / (1024 * 1024)) / ((endTime - startTime) / 1000)
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};
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} catch (error) {
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// Clean up on error
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if (fs.existsSync(testFile)) {
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fs.unlinkSync(testFile);
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}
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return {
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success: false,
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error: error.message
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};
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}
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}
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);
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t.ok(memoryMappedProcessing.success || memoryMappedProcessing.error,
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'Memory-mapped processing completed');
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// Test 5: Concurrent large file processing
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const concurrentLargeFiles = await performanceTracker.measureAsync(
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'concurrent-large-files',
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async () => {
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const fileCount = 5;
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const fileSize = 50 * 1024 * 1024; // 50MB each
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const promises = [];
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const startTime = Date.now();
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const startMem = process.memoryUsage();
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for (let i = 0; i < fileCount; i++) {
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const xml = generateLargeInvoice(fileSize);
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promises.push(
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einvoice.parseWithStreaming(xml)
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.then(() => ({ fileId: i, success: true }))
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.catch(error => ({ fileId: i, success: false, error: error.message }))
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);
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}
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const results = await Promise.all(promises);
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const endTime = Date.now();
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const endMem = process.memoryUsage();
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const successful = results.filter(r => r.success).length;
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return {
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totalFiles: fileCount,
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successful,
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failed: fileCount - successful,
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totalTime: endTime - startTime,
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totalMemory: endMem.heapUsed - startMem.heapUsed,
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avgTimePerFile: (endTime - startTime) / fileCount,
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results
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};
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}
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);
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t.ok(concurrentLargeFiles.successful > 0, 'Some concurrent large files were processed');
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// Test 6: Progressive loading with backpressure
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const progressiveLoading = await performanceTracker.measureAsync(
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'progressive-loading-backpressure',
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async () => {
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const totalSize = 200 * 1024 * 1024; // 200MB
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const chunkSize = 10 * 1024 * 1024; // 10MB chunks
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const results = {
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chunksProcessed: 0,
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backpressureEvents: 0,
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memoryPeaks: [],
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processingTimes: []
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};
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try {
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for (let offset = 0; offset < totalSize; offset += chunkSize) {
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const chunkData = generateInvoiceChunk(offset, Math.min(chunkSize, totalSize - offset));
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const chunkStart = Date.now();
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const memBefore = process.memoryUsage();
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// Check for backpressure
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if (memBefore.heapUsed > 300 * 1024 * 1024) {
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results.backpressureEvents++;
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// Wait for memory to reduce
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if (global.gc) {
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global.gc();
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}
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await new Promise(resolve => setTimeout(resolve, 100));
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}
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await einvoice.processChunk(chunkData, {
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isFirst: offset === 0,
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isLast: offset + chunkSize >= totalSize
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});
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const chunkEnd = Date.now();
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const memAfter = process.memoryUsage();
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results.chunksProcessed++;
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results.processingTimes.push(chunkEnd - chunkStart);
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results.memoryPeaks.push(memAfter.heapUsed);
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}
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return {
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success: true,
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...results,
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avgProcessingTime: results.processingTimes.reduce((a, b) => a + b, 0) / results.processingTimes.length,
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maxMemoryPeak: Math.max(...results.memoryPeaks)
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};
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} catch (error) {
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return {
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success: false,
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error: error.message,
|
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...results
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};
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}
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}
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);
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t.ok(progressiveLoading.chunksProcessed > 0, 'Progressive loading processed chunks');
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t.ok(progressiveLoading.backpressureEvents >= 0, 'Backpressure was handled');
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// Test 7: Large attachment handling
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const largeAttachments = await performanceTracker.measureAsync(
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'large-attachment-handling',
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async () => {
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const attachmentSizes = [
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{ size: 10 * 1024 * 1024, name: '10MB' },
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{ size: 50 * 1024 * 1024, name: '50MB' },
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{ size: 100 * 1024 * 1024, name: '100MB' }
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];
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const results = [];
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for (const attachment of attachmentSizes) {
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try {
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// Create PDF with large attachment
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const largePDF = createPDFWithAttachment(attachment.size);
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const startTime = Date.now();
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const startMem = process.memoryUsage();
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const extracted = await einvoice.extractFromPDF(largePDF, {
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streamAttachments: true
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});
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||||
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const endTime = Date.now();
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const endMem = process.memoryUsage();
|
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results.push({
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size: attachment.name,
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success: true,
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hasAttachment: !!extracted?.attachments?.length,
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timeTaken: endTime - startTime,
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memoryUsed: endMem.heapUsed - startMem.heapUsed
|
||||
});
|
||||
} catch (error) {
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results.push({
|
||||
size: attachment.name,
|
||||
success: false,
|
||||
error: error.message
|
||||
});
|
||||
}
|
||||
}
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||||
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||||
return results;
|
||||
}
|
||||
);
|
||||
|
||||
largeAttachments.forEach(result => {
|
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t.ok(result.success || result.error, `${result.size} attachment was processed`);
|
||||
});
|
||||
|
||||
// Test 8: Format conversion of large files
|
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const largeFormatConversion = await performanceTracker.measureAsync(
|
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'large-format-conversion',
|
||||
async () => {
|
||||
const testSizes = [10, 50]; // MB
|
||||
const results = [];
|
||||
|
||||
for (const sizeMB of testSizes) {
|
||||
const size = sizeMB * 1024 * 1024;
|
||||
const largeUBL = generateLargeUBLInvoice(size);
|
||||
|
||||
try {
|
||||
const startTime = Date.now();
|
||||
const startMem = process.memoryUsage();
|
||||
|
||||
const converted = await einvoice.convertFormat(largeUBL, 'cii', {
|
||||
streaming: true
|
||||
});
|
||||
|
||||
const endTime = Date.now();
|
||||
const endMem = process.memoryUsage();
|
||||
|
||||
results.push({
|
||||
sizeMB,
|
||||
success: true,
|
||||
timeTaken: endTime - startTime,
|
||||
memoryUsed: endMem.heapUsed - startMem.heapUsed,
|
||||
throughputMBps: sizeMB / ((endTime - startTime) / 1000)
|
||||
});
|
||||
} catch (error) {
|
||||
results.push({
|
||||
sizeMB,
|
||||
success: false,
|
||||
error: error.message
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return results;
|
||||
}
|
||||
);
|
||||
|
||||
largeFormatConversion.forEach(result => {
|
||||
t.ok(result.success || result.error, `${result.sizeMB}MB conversion completed`);
|
||||
});
|
||||
|
||||
// Test 9: Validation of gigabyte files
|
||||
const gigabyteValidation = await performanceTracker.measureAsync(
|
||||
'gigabyte-file-validation',
|
||||
async () => {
|
||||
// Simulate validation of 1GB file
|
||||
const fileSize = 1024 * 1024 * 1024; // 1GB
|
||||
const chunkSize = 50 * 1024 * 1024; // 50MB chunks
|
||||
|
||||
const validationResults = {
|
||||
chunksValidated: 0,
|
||||
errors: [],
|
||||
warnings: [],
|
||||
timeTaken: 0
|
||||
};
|
||||
|
||||
const startTime = Date.now();
|
||||
|
||||
try {
|
||||
const totalChunks = Math.ceil(fileSize / chunkSize);
|
||||
|
||||
for (let i = 0; i < totalChunks; i++) {
|
||||
// Simulate chunk validation
|
||||
const chunkValidation = await einvoice.validateChunk({
|
||||
chunkIndex: i,
|
||||
totalChunks,
|
||||
size: Math.min(chunkSize, fileSize - i * chunkSize)
|
||||
});
|
||||
|
||||
validationResults.chunksValidated++;
|
||||
|
||||
if (chunkValidation?.errors) {
|
||||
validationResults.errors.push(...chunkValidation.errors);
|
||||
}
|
||||
if (chunkValidation?.warnings) {
|
||||
validationResults.warnings.push(...chunkValidation.warnings);
|
||||
}
|
||||
|
||||
// Simulate memory pressure
|
||||
if (i % 5 === 0 && global.gc) {
|
||||
global.gc();
|
||||
}
|
||||
}
|
||||
|
||||
validationResults.timeTaken = Date.now() - startTime;
|
||||
|
||||
return {
|
||||
success: true,
|
||||
...validationResults,
|
||||
throughputMBps: (fileSize / (1024 * 1024)) / (validationResults.timeTaken / 1000)
|
||||
};
|
||||
} catch (error) {
|
||||
return {
|
||||
success: false,
|
||||
error: error.message,
|
||||
...validationResults
|
||||
};
|
||||
}
|
||||
}
|
||||
);
|
||||
|
||||
t.ok(gigabyteValidation.chunksValidated > 0, 'Gigabyte file validation progressed');
|
||||
|
||||
// Test 10: Recovery after large file processing
|
||||
const largeFileRecovery = await performanceTracker.measureAsync(
|
||||
'large-file-recovery',
|
||||
async () => {
|
||||
const results = {
|
||||
largeFileProcessed: false,
|
||||
memoryRecovered: false,
|
||||
normalFileAfter: false
|
||||
};
|
||||
|
||||
// Get baseline memory
|
||||
if (global.gc) global.gc();
|
||||
await new Promise(resolve => setTimeout(resolve, 100));
|
||||
const baselineMemory = process.memoryUsage().heapUsed;
|
||||
|
||||
// Process large file
|
||||
try {
|
||||
const largeXML = generateLargeInvoice(100 * 1024 * 1024); // 100MB
|
||||
await einvoice.parseDocument(largeXML);
|
||||
results.largeFileProcessed = true;
|
||||
} catch (error) {
|
||||
// Expected for very large files
|
||||
}
|
||||
|
||||
// Force cleanup
|
||||
if (global.gc) global.gc();
|
||||
await new Promise(resolve => setTimeout(resolve, 100));
|
||||
|
||||
const afterCleanupMemory = process.memoryUsage().heapUsed;
|
||||
results.memoryRecovered = afterCleanupMemory < baselineMemory + 50 * 1024 * 1024; // Within 50MB
|
||||
|
||||
// Try normal file
|
||||
try {
|
||||
const normalXML = '<?xml version="1.0"?><Invoice><ID>NORMAL</ID></Invoice>';
|
||||
await einvoice.parseDocument(normalXML);
|
||||
results.normalFileAfter = true;
|
||||
} catch (error) {
|
||||
// Should not happen
|
||||
}
|
||||
|
||||
return results;
|
||||
}
|
||||
);
|
||||
|
||||
t.ok(largeFileRecovery.memoryRecovered, 'Memory was recovered after large file');
|
||||
t.ok(largeFileRecovery.normalFileAfter, 'Normal processing works after large file');
|
||||
|
||||
// Print performance summary
|
||||
performanceTracker.printSummary();
|
||||
});
|
||||
|
||||
// Helper function to generate large invoice
|
||||
function generateLargeInvoice(targetSize: number): string {
|
||||
let xml = '<?xml version="1.0" encoding="UTF-8"?><Invoice><Items>';
|
||||
|
||||
const itemTemplate = '<Item><ID>XXX</ID><Description>Test item description that contains some text</Description><Amount>100.00</Amount></Item>';
|
||||
const itemSize = itemTemplate.length;
|
||||
const itemCount = Math.floor(targetSize / itemSize);
|
||||
|
||||
for (let i = 0; i < itemCount; i++) {
|
||||
xml += itemTemplate.replace('XXX', i.toString());
|
||||
}
|
||||
|
||||
xml += '</Items></Invoice>';
|
||||
return xml;
|
||||
}
|
||||
|
||||
// Helper function to generate invoice chunk
|
||||
function generateInvoiceChunk(offset: number, size: number): any {
|
||||
return {
|
||||
offset,
|
||||
size,
|
||||
data: Buffer.alloc(size, 'A')
|
||||
};
|
||||
}
|
||||
|
||||
// Helper function to create PDF with attachment
|
||||
function createPDFWithAttachment(attachmentSize: number): Buffer {
|
||||
// Simplified mock - in reality would create actual PDF
|
||||
return Buffer.alloc(attachmentSize + 1024, 'P');
|
||||
}
|
||||
|
||||
// Helper function to generate large UBL invoice
|
||||
function generateLargeUBLInvoice(size: number): string {
|
||||
let xml = `<?xml version="1.0" encoding="UTF-8"?>
|
||||
<Invoice xmlns="urn:oasis:names:specification:ubl:schema:xsd:Invoice-2">
|
||||
<ID>LARGE-UBL-001</ID>
|
||||
<IssueDate>2024-01-01</IssueDate>
|
||||
<InvoiceLines>`;
|
||||
|
||||
const lineTemplate = `<InvoiceLine><ID>X</ID><InvoicedQuantity>1</InvoicedQuantity><LineExtensionAmount>100</LineExtensionAmount></InvoiceLine>`;
|
||||
const lineSize = lineTemplate.length;
|
||||
const lineCount = Math.floor(size / lineSize);
|
||||
|
||||
for (let i = 0; i < lineCount; i++) {
|
||||
xml += lineTemplate.replace('X', i.toString());
|
||||
}
|
||||
|
||||
xml += '</InvoiceLines></Invoice>';
|
||||
return xml;
|
||||
}
|
||||
|
||||
// Run the test
|
||||
tap.start();
|
||||
Reference in New Issue
Block a user