51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
import os
|
|
import sys
|
|
import uuid
|
|
import pytest
|
|
import pathlib
|
|
from unittest.mock import patch
|
|
|
|
from cognee.modules.chunking.TextChunker import TextChunker
|
|
from cognee.modules.data.processing.document_types.PdfDocument import PdfDocument
|
|
from cognee.tests.integration.documents.AudioDocument_test import mock_get_embedding_engine
|
|
from cognee.tests.integration.documents.async_gen_zip import async_gen_zip
|
|
|
|
chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentence")
|
|
|
|
|
|
GROUND_TRUTH = [
|
|
{"word_count": 879, "len_text": 5697, "cut_type": "sentence_end"},
|
|
{"word_count": 953, "len_text": 6473, "cut_type": "sentence_end"},
|
|
]
|
|
|
|
|
|
@patch.object(
|
|
chunk_by_sentence_module, "get_embedding_engine", side_effect=mock_get_embedding_engine
|
|
)
|
|
@pytest.mark.asyncio
|
|
async def test_PdfDocument(mock_engine):
|
|
test_file_path = os.path.join(
|
|
pathlib.Path(__file__).parent.parent.parent,
|
|
"test_data",
|
|
"artificial-intelligence.pdf",
|
|
)
|
|
document = PdfDocument(
|
|
id=uuid.uuid4(),
|
|
name="Test document.pdf",
|
|
raw_data_location=test_file_path,
|
|
external_metadata="",
|
|
mime_type="",
|
|
)
|
|
|
|
async for ground_truth, paragraph_data in async_gen_zip(
|
|
GROUND_TRUTH, document.read(chunker_cls=TextChunker, max_chunk_size=1024)
|
|
):
|
|
assert ground_truth["word_count"] == paragraph_data.chunk_size, (
|
|
f'{ground_truth["word_count"] = } != {paragraph_data.chunk_size = }'
|
|
)
|
|
assert ground_truth["len_text"] == len(paragraph_data.text), (
|
|
f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }'
|
|
)
|
|
assert ground_truth["cut_type"] == paragraph_data.cut_type, (
|
|
f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }'
|
|
)
|