34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
import os
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import uuid
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from cognee.modules.data.processing.document_types.PdfDocument import PdfDocument
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GROUND_TRUTH = [
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{"word_count": 879, "len_text": 5607, "cut_type": "sentence_end"},
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{"word_count": 953, "len_text": 6363, "cut_type": "sentence_end"},
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]
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def test_PdfDocument():
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test_file_path = os.path.join(
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os.sep,
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*(os.path.dirname(__file__).split(os.sep)[:-2]),
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"test_data",
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"artificial-intelligence.pdf",
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)
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document = PdfDocument(
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id=uuid.uuid4(), name="Test document.pdf", raw_data_location=test_file_path, metadata_id=uuid.uuid4()
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)
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for ground_truth, paragraph_data in zip(
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GROUND_TRUTH, document.read(chunk_size=1024)
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):
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assert (
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ground_truth["word_count"] == paragraph_data.word_count
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), f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }'
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assert ground_truth["len_text"] == len(
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paragraph_data.text
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), f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }'
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assert (
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ground_truth["cut_type"] == paragraph_data.cut_type
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), f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }'
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