Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>
This commit is contained in:
Taranjeet Singh
2024-07-12 07:51:33 -07:00
committed by GitHub
parent 83e8c97295
commit f842a92e25
665 changed files with 9427 additions and 6592 deletions

View File

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import hashlib
from unittest.mock import MagicMock, patch
import pytest
from embedchain.loaders.docx_file import DocxFileLoader
@pytest.fixture
def mock_docx2txt_loader():
with patch("embedchain.loaders.docx_file.Docx2txtLoader") as mock_loader:
yield mock_loader
@pytest.fixture
def docx_file_loader():
return DocxFileLoader()
def test_load_data(mock_docx2txt_loader, docx_file_loader):
mock_url = "mock_docx_file.docx"
mock_loader = MagicMock()
mock_loader.load.return_value = [MagicMock(page_content="Sample Docx Content", metadata={"url": "local"})]
mock_docx2txt_loader.return_value = mock_loader
result = docx_file_loader.load_data(mock_url)
assert "doc_id" in result
assert "data" in result
expected_content = "Sample Docx Content"
assert result["data"][0]["content"] == expected_content
assert result["data"][0]["meta_data"]["url"] == "local"
expected_doc_id = hashlib.sha256((expected_content + mock_url).encode()).hexdigest()
assert result["doc_id"] == expected_doc_id