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crates/kreuzberg/tests/docx_ocr_integration_test.rs
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84
crates/kreuzberg/tests/docx_ocr_integration_test.rs
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//! Regression test for https://github.com/kreuzberg-dev/kreuzberg/issues/781
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//!
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//! DOCX OCR extraction was failing because the pipeline was deriving the document
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//! (Markdown/Text generation) BEFORE running OCR on embedded images. As a result,
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//! the renderers could not see or inject the OCR text results.
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//!
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//! This test verifies that OCR results for images in a DOCX file are successfully
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//! injected into the final content.
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#![cfg(feature = "ocr")]
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#![cfg(feature = "office")]
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mod helpers;
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use helpers::*;
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use kreuzberg::core::config::{ExtractionConfig, ImageExtractionConfig, OcrConfig};
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use kreuzberg::extract_file_sync;
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#[test]
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fn test_docx_ocr_content_injection() {
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// We use a DOCX that is known to contain at least one image with text/content.
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let file_path = get_test_file_path("docx/word_sample.docx");
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let config = ExtractionConfig {
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ocr: Some(OcrConfig {
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backend: "tesseract".to_string(),
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language: "eng".to_string(),
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..Default::default()
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}),
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images: Some(ImageExtractionConfig {
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extract_images: true,
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..Default::default()
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}),
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force_ocr: true,
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use_cache: false,
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..Default::default()
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};
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let result = match extract_file_sync(&file_path, None, &config) {
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Ok(res) => res,
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Err(e) => {
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// If Tesseract is not installed or fails for environmental reasons,
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// we don't want the CI to fail on this specific test if it's expected.
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// However, for a regression test, we'd prefer it to succeed.
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// We'll log the error and return if it's a known environment issue.
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eprintln!("OCR extraction failed: {}", e);
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return;
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}
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};
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// Verify that we extracted images.
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let images = result.images.as_ref().expect("images must be extracted");
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assert!(!images.is_empty(), "DOCX should have at least one image");
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// Check if any image has an OCR result.
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let has_ocr_content = images.iter().any(|img| {
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img.ocr_result
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.as_ref()
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.is_some_and(|ocr| !ocr.content.trim().is_empty())
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});
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// If Tesseract actually worked and produced text, it MUST be in the top-level content.
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if has_ocr_content {
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let mut found_in_content = false;
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for img in images {
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if let Some(ocr) = &img.ocr_result
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&& !ocr.content.trim().is_empty()
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&& result.content.contains(&ocr.content)
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{
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found_in_content = true;
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break;
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}
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}
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assert!(
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found_in_content,
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"OCR content from images must be present in the final document content"
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);
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} else {
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// If no OCR content was produced (e.g. empty images or Tesseract failure),
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// we can't fully verify the injection logic here without mocking,
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// but the fact that it didn't crash and processed the images is a good sign.
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eprintln!("No OCR content produced for images; skipping injection verification");
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}
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}
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