41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
from itertools import product
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import numpy as np
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import pytest
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from cognee.tasks.chunks import chunk_by_sentence, chunk_by_word
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from cognee.tests.unit.processing.chunks.test_input import INPUT_TEXTS
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maximum_length_vals = [None, 8, 64]
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@pytest.mark.parametrize(
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"input_text,maximum_length",
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list(product(list(INPUT_TEXTS.values()), maximum_length_vals)),
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)
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def test_chunk_by_sentence_isomorphism(input_text, maximum_length):
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chunks = chunk_by_sentence(input_text, maximum_length)
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reconstructed_text = "".join([chunk[1] for chunk in chunks])
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assert (
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reconstructed_text == input_text
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), f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }"
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@pytest.mark.parametrize(
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"input_text,maximum_length",
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list(
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product(
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list(INPUT_TEXTS.values()),
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[val for val in maximum_length_vals if val is not None],
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)
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),
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)
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def test_paragraph_chunk_length(input_text, maximum_length):
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chunks = list(chunk_by_sentence(input_text, maximum_length))
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chunk_lengths = np.array([len(list(chunk_by_word(chunk[1]))) for chunk in chunks])
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larger_chunks = chunk_lengths[chunk_lengths > maximum_length]
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assert np.all(
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chunk_lengths <= maximum_length
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), f"{maximum_length = }: {larger_chunks} are too large"
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