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function hash_cleaner

Maturity: 20

A pytest fixture that instantiates and returns a HashCleaner object for use in test cases.

File:
/tf/active/vicechatdev/chromadb-cleanup/tests/test_hash_cleaner.py
Lines:
5 - 6
Complexity:
simple

Purpose

This fixture provides a reusable HashCleaner instance for testing purposes. It follows the pytest fixture pattern to enable dependency injection in test functions, allowing tests to receive a fresh HashCleaner object without manual instantiation. The fixture can be used across multiple test functions by simply including 'hash_cleaner' as a parameter in test function signatures.

Source Code

def hash_cleaner():
    return HashCleaner()

Return Value

Returns an instance of the HashCleaner class. The HashCleaner object is likely responsible for cleaning, validating, or processing hash values (such as MD5, SHA256, etc.). The exact capabilities depend on the HashCleaner class implementation in src.cleaners.hash_cleaner module.

Dependencies

  • pytest
  • src.cleaners.hash_cleaner

Required Imports

import pytest
from src.cleaners.hash_cleaner import HashCleaner

Usage Example

import pytest
from src.cleaners.hash_cleaner import HashCleaner

@pytest.fixture
def hash_cleaner():
    return HashCleaner()

def test_hash_cleaning(hash_cleaner):
    # Use the hash_cleaner fixture in your test
    result = hash_cleaner.clean('some_hash_value')
    assert result is not None

def test_hash_validation(hash_cleaner):
    # The fixture provides a fresh instance for each test
    is_valid = hash_cleaner.validate('abc123')
    assert isinstance(is_valid, bool)

Best Practices

  • This fixture should only be used in test files, not in production code
  • The fixture has function scope by default, meaning a new HashCleaner instance is created for each test function that uses it
  • If you need to share the same HashCleaner instance across multiple tests, consider adding scope='module' or scope='session' to the @pytest.fixture decorator
  • Ensure the HashCleaner class is properly implemented before using this fixture
  • Consider adding cleanup logic (yield pattern) if the HashCleaner requires resource cleanup after tests

Tags

pytest fixture testing hash cleaner test-utilities dependency-injection unit-testing

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