function test_identical_text_removal
A pytest test function that verifies the SimilarityCleaner's ability to remove identical duplicate text entries from a list while preserving unique documents.
/tf/active/vicechatdev/chromadb-cleanup/tests/test_similarity_cleaner.py
9 - 18
simple
Purpose
This test validates that the SimilarityCleaner.clean() method correctly identifies and removes exact duplicate texts from a collection, ensuring only one instance of identical documents remains. It tests the deduplication functionality by providing a list with one duplicate entry and verifying that the output contains only the unique documents.
Source Code
def test_identical_text_removal(setup_similarity_cleaner):
texts = [
"This is a test document.",
"This is a test document.",
"This is another document."
]
cleaned_texts = setup_similarity_cleaner.clean(texts)
assert len(cleaned_texts) == 2
assert "This is a test document." in cleaned_texts
assert "This is another document." in cleaned_texts
Parameters
| Name | Type | Default | Kind |
|---|---|---|---|
setup_similarity_cleaner |
- | - | positional_or_keyword |
Parameter Details
setup_similarity_cleaner: A pytest fixture that provides an initialized instance of the SimilarityCleaner class. This fixture is expected to be defined elsewhere in the test suite and handles the setup/teardown of the cleaner object for testing purposes.
Return Value
This function does not return any value (implicitly returns None). It performs assertions to validate the behavior of the SimilarityCleaner. The test passes if all assertions succeed, and raises an AssertionError if any assertion fails.
Dependencies
pytestsrc.cleaners.similarity_cleaner
Required Imports
import pytest
from src.cleaners.similarity_cleaner import SimilarityCleaner
Usage Example
# In conftest.py or the test file:
import pytest
from src.cleaners.similarity_cleaner import SimilarityCleaner
@pytest.fixture
def setup_similarity_cleaner():
return SimilarityCleaner()
# Run the test:
# pytest test_file.py::test_identical_text_removal
# Or use the function directly in a test suite:
def test_identical_text_removal(setup_similarity_cleaner):
texts = [
"This is a test document.",
"This is a test document.",
"This is another document."
]
cleaned_texts = setup_similarity_cleaner.clean(texts)
assert len(cleaned_texts) == 2
assert "This is a test document." in cleaned_texts
assert "This is another document." in cleaned_texts
Best Practices
- This test should be run as part of a pytest test suite, not as a standalone function
- The setup_similarity_cleaner fixture should be properly defined before running this test
- Ensure the SimilarityCleaner class implements a clean() method that accepts a list of strings
- The test assumes exact string matching for duplicate detection; modify test data if testing fuzzy matching
- Consider adding more test cases to cover edge cases like empty lists, single items, or all duplicates
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