diff --git a/grobid_client/grobid_client.py b/grobid_client/grobid_client.py index 9212b8f..1af79d1 100644 --- a/grobid_client/grobid_client.py +++ b/grobid_client/grobid_client.py @@ -608,7 +608,7 @@ def process_batch( converter = TEI2MarkdownConverter() markdown_data = converter.convert_tei_file(filename) - if markdown_data: + if markdown_data is not None: markdown_filename = filename.replace('.grobid.tei.xml', '.md') # Always write Markdown file when TEI is written (respects --force behavior) markdown_filename_expanded = os.path.expanduser(markdown_filename) diff --git a/tests/resources/article_withdrawn.grobid.tei.xml b/tests/resources/article_withdrawn.grobid.tei.xml new file mode 100644 index 0000000..9359c73 --- /dev/null +++ b/tests/resources/article_withdrawn.grobid.tei.xml @@ -0,0 +1,51 @@ + + + + + + + + + + + + + + + + + + + + + BF4185EE81F98E32729702A8C45B889D + + + + + + + GROBID - A machine learning software for extracting information from scholarly documents + + + + + + + + + + + + + +
+ + +
+ + + diff --git a/tests/test_conversions.py b/tests/test_conversions.py index ec025b8..9016b7c 100644 --- a/tests/test_conversions.py +++ b/tests/test_conversions.py @@ -772,4 +772,180 @@ def test_header_extraction_from_mjb_file(self): for section in expected_sections: assert section in sections_found, f"'{section}' should be in extracted sections" + def test_withdrawn_article_json_conversion(self): + """Test JSON conversion for a withdrawn/empty article TEI file.""" + from grobid_client.format.TEI2LossyJSON import TEI2LossyJSONConverter + + # Use the withdrawn article TEI file from test resources + tei_file = os.path.join(TEST_DATA_PATH, 'article_withdrawn.grobid.tei.xml') + + # Verify the test TEI file exists + assert os.path.exists(tei_file), f"Test TEI file should exist at {tei_file}" + + converter = TEI2LossyJSONConverter() + json_data = converter.convert_tei_file(tei_file, stream=False) + + # The converter should return a non-None result (not fail) for valid but empty TEI + assert json_data is not None, "Withdrawn/empty TEI should return non-None JSON result" + assert isinstance(json_data, dict), "Result should be a dictionary" + + # Check basic structure is present + assert 'biblio' in json_data, "Should have biblio section" + assert 'body_text' in json_data, "Should have body_text section" + + def test_withdrawn_article_markdown_conversion(self): + """Test Markdown conversion for a withdrawn/empty article TEI file.""" + from grobid_client.format.TEI2Markdown import TEI2MarkdownConverter + + # Use the withdrawn article TEI file from test resources + tei_file = os.path.join(TEST_DATA_PATH, 'article_withdrawn.grobid.tei.xml') + + # Verify the test TEI file exists + assert os.path.exists(tei_file), f"Test TEI file should exist at {tei_file}" + + converter = TEI2MarkdownConverter() + markdown_data = converter.convert_tei_file(tei_file) + + # The converter should return a non-None result (not fail) for valid but empty TEI + # It may return an empty string, but should not return None + assert markdown_data is not None, "Withdrawn/empty TEI should return non-None Markdown result" + assert isinstance(markdown_data, str), "Result should be a string" + + def test_json_conversion_stream_mode_with_real_file(self): + """Test JSON conversion in streaming mode with a real TEI file.""" + from grobid_client.format.TEI2LossyJSON import TEI2LossyJSONConverter + + # Use the actual TEI file from test resources + tei_file = os.path.join(TEST_DATA_PATH, '0046d83a-edd6-4631-b57c-755cdcce8b7f.tei.xml') + + # Verify the test TEI file exists + assert os.path.exists(tei_file), f"Test TEI file should exist at {tei_file}" + + converter = TEI2LossyJSONConverter() + passages_generator = converter.convert_tei_file(tei_file, stream=True) + + # Should return a generator/iterator, not None + assert passages_generator is not None, "Streaming mode should return a generator" + + # Collect all passages from the generator + passages = list(passages_generator) + + # Should have extracted some passages + assert len(passages) > 0, "Should extract at least one passage in streaming mode" + + # Each passage should be a dict with expected structure + for passage in passages: + assert isinstance(passage, dict), "Each passage should be a dictionary" + assert 'id' in passage, "Passage should have an id" + assert 'text' in passage, "Passage should have text" + + def test_json_conversion_stream_mode_with_empty_tei(self): + """Test JSON conversion in streaming mode with empty TEI content.""" + from grobid_client.format.TEI2LossyJSON import TEI2LossyJSONConverter + + # Test with empty TEI content + empty_tei = """ + +""" + + # Create a temporary TEI file with empty content + with tempfile.NamedTemporaryFile(mode='w', suffix='.tei.xml', delete=False) as tei_file: + tei_file.write(empty_tei) + tei_path = tei_file.name + + try: + converter = TEI2LossyJSONConverter() + passages_generator = converter.convert_tei_file(tei_path, stream=True) + + # Should return an empty iterator for empty TEI, not None + assert passages_generator is not None, "Streaming mode should return an iterator even for empty TEI" + + # Collect all passages - should be empty for empty TEI + passages = list(passages_generator) + + # Empty TEI should produce no passages + assert isinstance(passages, list), "Result should be convertible to list" + + finally: + # Clean up temporary file + os.unlink(tei_path) + + def test_json_conversion_stream_mode_with_withdrawn_article(self): + """Test JSON conversion in streaming mode with withdrawn/empty article.""" + from grobid_client.format.TEI2LossyJSON import TEI2LossyJSONConverter + + # Use the withdrawn article TEI file from test resources + tei_file = os.path.join(TEST_DATA_PATH, 'article_withdrawn.grobid.tei.xml') + + # Verify the test TEI file exists + assert os.path.exists(tei_file), f"Test TEI file should exist at {tei_file}" + + converter = TEI2LossyJSONConverter() + passages_generator = converter.convert_tei_file(tei_file, stream=True) + + # Should return a generator/iterator, not None + assert passages_generator is not None, "Streaming mode should return an iterator for withdrawn article" + + # Collect all passages - may be empty for withdrawn article + passages = list(passages_generator) + + # Should be a list (possibly empty) + assert isinstance(passages, list), "Result should be convertible to list" + + def test_json_conversion_stream_mode_validates_refs(self): + """Test that streaming mode validates reference offsets correctly.""" + from grobid_client.format.TEI2LossyJSON import TEI2LossyJSONConverter + + # Use file with references + tei_file = os.path.join(TEST_DATA_PATH, '0046d83a-edd6-4631-b57c-755cdcce8b7f.tei.xml') + + converter = TEI2LossyJSONConverter(validate_refs=True) + passages_generator = converter.convert_tei_file(tei_file, stream=True) + + # Collect all passages - this should not raise assertion errors if refs are valid + passages = list(passages_generator) + + # Check passages with refs have valid offsets + for passage in passages: + if 'refs' in passage and passage['refs']: + for ref in passage['refs']: + offset_start = ref.get('offset_start', -1) + offset_end = ref.get('offset_end', -1) + ref_text = ref.get('text', '') + passage_text = passage.get('text', '') + + # Validate offset bounds + assert 0 <= offset_start < offset_end <= len(passage_text), \ + f"Invalid ref offsets: {offset_start}-{offset_end} for text length {len(passage_text)}" + + # Validate text matches + actual_text = passage_text[offset_start:offset_end] + assert actual_text == ref_text, \ + f"Ref text mismatch: expected '{ref_text}', got '{actual_text}'" + + def test_json_conversion_stream_vs_non_stream_consistency(self): + """Test that streaming and non-streaming modes produce consistent results.""" + from grobid_client.format.TEI2LossyJSON import TEI2LossyJSONConverter + + # Use the actual TEI file from test resources + tei_file = os.path.join(TEST_DATA_PATH, '0046d83a-edd6-4631-b57c-755cdcce8b7f.tei.xml') + + converter = TEI2LossyJSONConverter() + + # Get non-streaming result + non_stream_result = converter.convert_tei_file(tei_file, stream=False) + body_text_non_stream = non_stream_result.get('body_text', []) + + # Get streaming result + stream_result = converter.convert_tei_file(tei_file, stream=True) + body_text_stream = list(stream_result) + + # Both should have the same number of passages + assert len(body_text_non_stream) == len(body_text_stream), \ + f"Stream and non-stream should have same number of passages: {len(body_text_stream)} vs {len(body_text_non_stream)}" + + # Compare passage texts + for i, (stream_p, non_stream_p) in enumerate(zip(body_text_stream, body_text_non_stream)): + assert stream_p.get('text') == non_stream_p.get('text'), \ + f"Passage {i} text mismatch between stream and non-stream modes"