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https://github.com/deepset-ai/haystack.git
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dde9d59271
* fix pip backtracking issue * restrict azure-core version * Remove the trailing comma * Add skip_magic_trailing_comma in pyproject.toml for pydoc compatibility * Pin pydoc-markdown _again_ Co-authored-by: Sara Zan <sarazanzo94@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
from pathlib import Path
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from haystack.nodes.file_converter.pdf import PDFToTextConverter
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from haystack.nodes.preprocessor.preprocessor import PreProcessor
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from conftest import SAMPLES_PATH
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TEXT = """
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This is a sample sentence in paragraph_1. This is a sample sentence in paragraph_1. This is a sample sentence in
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paragraph_1. This is a sample sentence in paragraph_1. This is a sample sentence in paragraph_1.
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This is a sample sentence in paragraph_2. This is a sample sentence in paragraph_2. This is a sample sentence in
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paragraph_2. This is a sample sentence in paragraph_2. This is a sample sentence in paragraph_2.
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This is a sample sentence in paragraph_3. This is a sample sentence in paragraph_3. This is a sample sentence in
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paragraph_3. This is a sample sentence in paragraph_3. This is to trick the test with using an abbreviation like Dr.
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in the sentence.
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"""
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def test_preprocess_sentence_split():
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document = {"content": TEXT}
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preprocessor = PreProcessor(
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split_length=1, split_overlap=0, split_by="sentence", split_respect_sentence_boundary=False
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)
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documents = preprocessor.process(document)
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assert len(documents) == 15
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preprocessor = PreProcessor(
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split_length=10, split_overlap=0, split_by="sentence", split_respect_sentence_boundary=False
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)
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documents = preprocessor.process(document)
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assert len(documents) == 2
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def test_preprocess_word_split():
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document = {"content": TEXT}
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preprocessor = PreProcessor(
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split_length=10, split_overlap=0, split_by="word", split_respect_sentence_boundary=False
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)
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documents = preprocessor.process(document)
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assert len(documents) == 11
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preprocessor = PreProcessor(split_length=15, split_overlap=0, split_by="word", split_respect_sentence_boundary=True)
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documents = preprocessor.process(document)
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for i, doc in enumerate(documents):
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if i == 0:
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assert len(doc["content"].split(" ")) == 14
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assert len(doc["content"].split(" ")) <= 15 or doc["content"].startswith("This is to trick")
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assert len(documents) == 8
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preprocessor = PreProcessor(
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split_length=40, split_overlap=10, split_by="word", split_respect_sentence_boundary=True
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)
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documents = preprocessor.process(document)
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assert len(documents) == 5
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preprocessor = PreProcessor(split_length=5, split_overlap=0, split_by="word", split_respect_sentence_boundary=True)
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documents = preprocessor.process(document)
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assert len(documents) == 15
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def test_preprocess_passage_split():
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document = {"content": TEXT}
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preprocessor = PreProcessor(
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split_length=1, split_overlap=0, split_by="passage", split_respect_sentence_boundary=False
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)
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documents = preprocessor.process(document)
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assert len(documents) == 3
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preprocessor = PreProcessor(
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split_length=2, split_overlap=0, split_by="passage", split_respect_sentence_boundary=False
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)
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documents = preprocessor.process(document)
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assert len(documents) == 2
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def test_clean_header_footer():
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converter = PDFToTextConverter()
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document = converter.convert(
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file_path=Path(SAMPLES_PATH / "pdf" / "sample_pdf_2.pdf")
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) # file contains header/footer
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preprocessor = PreProcessor(clean_header_footer=True, split_by=None)
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documents = preprocessor.process(document)
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assert len(documents) == 1
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assert "This is a header." not in documents[0]["content"]
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assert "footer" not in documents[0]["content"]
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