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community[patch]: add NotebookLoader unit test (langchain-ai#17721)
Thank you for contributing to LangChain! - **Description:** added unit tests for NotebookLoader. Linked PR: langchain-ai#17614 - **Issue:** [langchain-ai#17614](langchain-ai#17614) - **Twitter handle:** @paulodoestech - [x] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: lachiewalker <lachiewalker1@hotmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>
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libs/community/tests/unit_tests/document_loaders/test_notebook.py
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import json | ||
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from pytest_mock import MockerFixture | ||
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from langchain_community.document_loaders.notebook import NotebookLoader | ||
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def test_initialization() -> None: | ||
loader = NotebookLoader(path="./testfile.ipynb") | ||
assert loader.file_path == "./testfile.ipynb" | ||
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def test_load_no_outputs(mocker: MockerFixture) -> None: | ||
mock_notebook_content = { | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": ["# Test notebook\n", "This is a test notebook."], | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": ["Hello World!\n"], | ||
} | ||
], | ||
} | ||
] | ||
} | ||
mocked_cell_type = mock_notebook_content["cells"][0]["cell_type"] | ||
mocked_source = mock_notebook_content["cells"][0]["source"] | ||
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# Convert the mock notebook content to a JSON string | ||
mock_notebook_content_str = json.dumps(mock_notebook_content) | ||
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# Mock the open function & json.load functions | ||
mocker.patch("builtins.open", mocker.mock_open(read_data=mock_notebook_content_str)) | ||
mocker.patch("json.load", return_value=mock_notebook_content) | ||
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loader = NotebookLoader(path="./testfile.ipynb") | ||
docs = loader.load() | ||
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assert len(docs) == 1 | ||
assert docs[0].page_content == f"'{mocked_cell_type}' cell: '{mocked_source}'\n\n" | ||
assert docs[0].metadata == {"source": "testfile.ipynb"} | ||
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def test_load_with_outputs(mocker: MockerFixture) -> None: | ||
mock_notebook_content: dict = { | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"metadata": {}, | ||
"source": ["# Test notebook\n", "This is a test notebook."], | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": ["Hello World!\n"], | ||
} | ||
], | ||
} | ||
] | ||
} | ||
mocked_cell_type = mock_notebook_content["cells"][0]["cell_type"] | ||
mocked_source = mock_notebook_content["cells"][0]["source"] | ||
mocked_output = mock_notebook_content["cells"][0]["outputs"][0]["text"] | ||
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# Convert the mock notebook content to a JSON string | ||
mock_notebook_content_str = json.dumps(mock_notebook_content) | ||
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# Mock the open function & json.load functions | ||
mocker.patch("builtins.open", mocker.mock_open(read_data=mock_notebook_content_str)) | ||
mocker.patch("json.load", return_value=mock_notebook_content) | ||
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loader = NotebookLoader(path="./testfile.ipynb", include_outputs=True) | ||
docs = loader.load() | ||
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assert len(docs) == 1 | ||
expected_content = ( | ||
f"'{mocked_cell_type}' cell: '{mocked_source}'\n" | ||
f" with output: '{mocked_output}'\n\n" | ||
) | ||
assert docs[0].page_content == expected_content | ||
assert docs[0].metadata == {"source": "testfile.ipynb"} |