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52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
import os
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import sys
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import uuid
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import pytest
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import pathlib
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from unittest.mock import patch
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from cognee.modules.chunking.TextChunker import TextChunker
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from cognee.modules.data.processing.document_types.PdfDocument import PdfDocument
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from cognee.tests.integration.documents.AudioDocument_test import mock_get_embedding_engine
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from cognee.tests.integration.documents.async_gen_zip import async_gen_zip
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chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentence")
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GROUND_TRUTH = [
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{"word_count": 879, "len_text": 5697, "cut_type": "sentence_end"},
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{"word_count": 953, "len_text": 6473, "cut_type": "sentence_end"},
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]
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@patch.object(
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chunk_by_sentence_module, "get_embedding_engine", side_effect=mock_get_embedding_engine
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)
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@pytest.mark.asyncio
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async def test_PdfDocument(mock_engine):
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test_file_path = os.path.join(
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pathlib.Path(__file__).parent.parent.parent,
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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(),
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name="Test document.pdf",
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raw_data_location=test_file_path,
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external_metadata="",
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mime_type="",
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)
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async for ground_truth, paragraph_data in async_gen_zip(
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GROUND_TRUTH, document.read(chunker_cls=TextChunker, max_chunk_size=1024)
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):
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assert ground_truth["word_count"] == paragraph_data.chunk_size, (
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f'{ground_truth["word_count"] = } != {paragraph_data.chunk_size = }'
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)
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assert ground_truth["len_text"] == len(paragraph_data.text), (
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f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }'
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)
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assert 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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)
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