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https://github.com/deepset-ai/haystack.git
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834f8c4902
* Change return types of file converters * Change return types of preprocessor * Change return types of crawler * Adapt utils to functions to new return types * Adapt __init__.py to new method names * Prevent circular imports * Update Documentation & Code Style * Let DocStores' run method accept Documents * Adapt tests to new return types * Update Documentation & Code Style * Put "# type: ignore" to right place * Remove id_hash_keys property from Document primitive * Update Documentation & Code Style * Adapt tests to new return types and missing id_hash_keys property * Fix mypy * Fix mypy * Adapt PDFToTextOCRConverter * Remove id_hash_keys from RestAPI tests * Update Documentation & Code Style * Rename tests * Remove redundant setting of content_type="text" * Add DeprecationWarning * Add id_hash_keys to elasticsearch_index_to_document_store * Change document type from dict to Docuemnt in PreProcessor test * Fix file path in Tutorial 5 * Remove added output in Tutorial 5 * Update Documentation & Code Style * Fix file_paths in Tutorial 9 + fix gz files in fetch_archive_from_http * Adapt tutorials to new return types * Adapt tutorial 14 to new return types * Update Documentation & Code Style * Change assertions to HaystackErrors * Import HaystackError correctly Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
112 lines
4.2 KiB
Python
112 lines
4.2 KiB
Python
from pathlib import Path
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from haystack import Document
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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 = 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 = 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 = 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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def test_remove_substrings():
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document = Document(content="This is a header. Some additional text. wiki. Some emoji ✨ 🪲 Weird whitespace\b\b\b.")
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# check that the file contains the substrings we are about to remove
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assert "This is a header." in document.content
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assert "wiki" in document.content
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assert "🪲" in document.content
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assert "whitespace" in document.content
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assert "✨" in document.content
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preprocessor = PreProcessor(remove_substrings=["This is a header.", "wiki", "🪲"])
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documents = preprocessor.process(document)
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assert "This is a header." not in documents[0].content
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assert "wiki" not in documents[0].content
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assert "🪲" not in documents[0].content
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assert "whitespace" in documents[0].content
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assert "✨" in documents[0].content
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