from pathlib import Path from haystack import Document from haystack.nodes.file_converter.pdf import PDFToTextConverter from haystack.nodes.preprocessor.preprocessor import PreProcessor from conftest import SAMPLES_PATH TEXT = """ This is a sample sentence in paragraph_1. This is a sample sentence in paragraph_1. This is a sample sentence in paragraph_1. This is a sample sentence in paragraph_1. This is a sample sentence in paragraph_1. This is a sample sentence in paragraph_2. This is a sample sentence in paragraph_2. This is a sample sentence in paragraph_2. This is a sample sentence in paragraph_2. This is a sample sentence in paragraph_2. This is a sample sentence in paragraph_3. This is a sample sentence in paragraph_3. This is a sample sentence in paragraph_3. This is a sample sentence in paragraph_3. This is to trick the test with using an abbreviation like Dr. in the sentence. """ def test_preprocess_sentence_split(): document = {"content": TEXT} preprocessor = PreProcessor( split_length=1, split_overlap=0, split_by="sentence", split_respect_sentence_boundary=False ) documents = preprocessor.process(document) assert len(documents) == 15 preprocessor = PreProcessor( split_length=10, split_overlap=0, split_by="sentence", split_respect_sentence_boundary=False ) documents = preprocessor.process(document) assert len(documents) == 2 def test_preprocess_word_split(): document = {"content": TEXT} preprocessor = PreProcessor( split_length=10, split_overlap=0, split_by="word", split_respect_sentence_boundary=False ) documents = preprocessor.process(document) assert len(documents) == 11 preprocessor = PreProcessor(split_length=15, split_overlap=0, split_by="word", split_respect_sentence_boundary=True) documents = preprocessor.process(document) for i, doc in enumerate(documents): if i == 0: assert len(doc["content"].split(" ")) == 14 assert len(doc["content"].split(" ")) <= 15 or doc["content"].startswith("This is to trick") assert len(documents) == 8 preprocessor = PreProcessor( split_length=40, split_overlap=10, split_by="word", split_respect_sentence_boundary=True ) documents = preprocessor.process(document) assert len(documents) == 5 preprocessor = PreProcessor(split_length=5, split_overlap=0, split_by="word", split_respect_sentence_boundary=True) documents = preprocessor.process(document) assert len(documents) == 15 def test_preprocess_passage_split(): document = {"content": TEXT} preprocessor = PreProcessor( split_length=1, split_overlap=0, split_by="passage", split_respect_sentence_boundary=False ) documents = preprocessor.process(document) assert len(documents) == 3 preprocessor = PreProcessor( split_length=2, split_overlap=0, split_by="passage", split_respect_sentence_boundary=False ) documents = preprocessor.process(document) assert len(documents) == 2 def test_clean_header_footer(): converter = PDFToTextConverter() document = converter.convert( file_path=Path(SAMPLES_PATH / "pdf" / "sample_pdf_2.pdf") ) # file contains header/footer preprocessor = PreProcessor(clean_header_footer=True, split_by=None) documents = preprocessor.process(document) assert len(documents) == 1 assert "This is a header." not in documents[0]["content"] assert "footer" not in documents[0]["content"] def test_remove_substrings(): document = {"content": "This is a header. Some additional text. wiki. Some emoji ✨ 🪲 Weird whitespace\b\b\b."} # check that the file contains the substrings we are about to remove assert "This is a header." in document["content"] assert "wiki" in document["content"] assert "🪲" in document["content"] assert "whitespace" in document["content"] assert "✨" in document["content"] preprocessor = PreProcessor(remove_substrings=["This is a header.", "wiki", "🪲"]) documents = preprocessor.process(document) assert "This is a header." not in documents[0]["content"] assert "wiki" not in documents[0]["content"] assert "🪲" not in documents[0]["content"] assert "whitespace" in documents[0]["content"] assert "✨" in documents[0]["content"]