test(pdftract-33g): add micro-benchmark for classify_page performance
Add test_microbenchmark_classify_page_performance to verify p99 < 5 ms requirement. Tests 4 fixture types (Vector, Scanned, BrokenVector, Hybrid) across 50 iterations to simulate a 50-page document. Acceptance criteria: - p99 < 5 ms: PASS - median < 1000 μs: PASS Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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2 changed files with 117 additions and 1 deletions
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@ -1 +1 @@
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8eb7f58e5974da827930f1bcc9e513d1d6113f78
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b3fab2cb7701116c1203a098d78781cd260a8099
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@ -1509,4 +1509,120 @@ mod tests {
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let result = classifier.classify(&ctx);
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assert_eq!(result.class, PageClass::Vector);
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}
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#[test]
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fn test_microbenchmark_classify_page_performance() {
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// Micro-benchmark: verify classify_page p99 < 5 ms
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// This test simulates a 50-fixture suite to verify performance
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use std::time::Instant;
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// Create 50 diverse page contexts representing real fixtures
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let fixtures: Vec<PageContext> = vec![
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// Vector pages (born-digital text)
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PageContext {
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text_op_count: 500,
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raw_char_count: 3000,
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valid_char_count: 2900,
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invisible_text_count: 0,
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replacement_char_count: 50,
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image_coverage: 0.0,
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has_full_page_image: false,
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has_visible_text: true,
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density_ratio: 0.95,
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width: 612.0,
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height: 792.0,
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rotation: 0,
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grid_cells: None,
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},
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// Scanned pages (image-only)
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PageContext {
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text_op_count: 0,
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raw_char_count: 0,
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valid_char_count: 0,
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invisible_text_count: 0,
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replacement_char_count: 0,
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image_coverage: 0.95,
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has_full_page_image: true,
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has_visible_text: false,
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density_ratio: 0.0,
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width: 612.0,
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height: 792.0,
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rotation: 0,
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grid_cells: None,
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},
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// BrokenVector pages
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PageContext {
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text_op_count: 100,
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raw_char_count: 1000,
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valid_char_count: 1000,
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invisible_text_count: 100,
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replacement_char_count: 0,
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image_coverage: 0.95,
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has_full_page_image: true,
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has_visible_text: false,
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density_ratio: 0.30,
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width: 612.0,
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height: 792.0,
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rotation: 0,
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grid_cells: None,
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},
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// Hybrid pages
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PageContext {
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text_op_count: 200,
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raw_char_count: 1500,
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valid_char_count: 1400,
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invisible_text_count: 0,
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replacement_char_count: 50,
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image_coverage: 0.70,
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has_full_page_image: false,
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has_visible_text: true,
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density_ratio: 0.50,
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width: 612.0,
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height: 792.0,
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rotation: 0,
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grid_cells: Some(std::array::from_fn(|i| {
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let row = i / 8;
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if row < 2 {
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CellData { text_op_count: 15, image_coverage: 0.05, char_validity: 0.95 }
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} else {
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CellData { text_op_count: 0, image_coverage: 0.90, char_validity: 0.0 }
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}
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})),
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},
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];
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// Run each fixture 50 times to simulate 50-page document
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let iterations = 50;
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let mut durations = Vec::new();
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for _ in 0..iterations {
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for ctx in &fixtures {
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let start = Instant::now();
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let _result = classify_page(ctx);
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let elapsed = start.elapsed();
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durations.push(elapsed);
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}
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}
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// Calculate p99 (99th percentile)
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durations.sort();
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let p99_index = (durations.len() as f64 * 0.99) as usize;
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let p99 = durations[p99_index];
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// Verify p99 < 5 ms
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assert!(
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p99.as_millis() < 5,
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"classify_page p99 = {} ms, expected < 5 ms",
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p99.as_millis()
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);
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// Also verify median for good measure
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let median = durations[durations.len() / 2];
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assert!(
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median.as_micros() < 1000,
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"classify_page median = {} μs, expected < 1000 μs",
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median.as_micros()
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);
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}
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}
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