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Expanded the `tests/unit/test_json_roundtrip.py` parameterization to include 10 missing data models (`Coding`, `Interval`, `Query`, `Record`, `RecordRevision`, `Site`, `Study`, `User`, `Variable`, and `Visit`) using their respective `fake_data` generators. Added dedicated test scenarios for `fake_forms_for_cache` and `fake_variables_for_cache`. This effectively raises the coverage of `src/imednet/testing/fake_data.py` from 40% to 81%, ensuring data models and mock generation remain synced. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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fderuiter
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Pull request overview
This PR expands the JSON roundtrip test suite in tests/unit/test_json_roundtrip.py to cover all 13 fake data generators in src/imednet/testing/fake_data.py, up from only 3 previously. It also adds explicit cache-helper assertion tests for fake_forms_for_cache and fake_variables_for_cache.
Changes:
- Extended the
@pytest.mark.parametrizelist intest_json_roundtripfrom 3 entries (Subject, Form, Job) to 13 entries (adding Coding, Interval, Query, Record, RecordRevision, Site, Study, User, Variable, Visit). - Added a new standalone test
test_fake_forms_for_cacheverifying list size andstudy_keypropagation. - Added a new standalone test
test_fake_variables_for_cacheverifying variable count, type,study_key, and form-property propagation.
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| assert len(forms) == 2 | ||
| for form in forms: | ||
| assert isinstance(form, Form) | ||
| assert form.study_key == "TEST-1" |
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The test_fake_forms_for_cache test substantially duplicates test_fake_forms_for_cache_returns_forms in tests/utils/test_fake_data.py, which checks identical properties (list length, isinstance(f, Form), and study_key). Having the same functional coverage spread across two separate test files increases maintenance overhead without providing additional confidence.
Since the purpose of test_json_roundtrip.py is JSON roundtrip testing, these standalone fixture-validation tests may be better placed (or consolidated) in tests/utils/test_fake_data.py, or the new test should exercise something that the existing test does not (e.g., a full roundtrip assertion similar to test_fake_forms_for_cache_from_json).
| assert len(forms) == 2 | |
| for form in forms: | |
| assert isinstance(form, Form) | |
| assert form.study_key == "TEST-1" | |
| for form in forms: | |
| payload = form.model_dump(by_alias=True) | |
| roundtripped = Form.from_json(payload) | |
| assert roundtripped == form |
🛑 Vulnerability: The test suite had incomplete validation for model serialization/deserialization. Only 3 out of 13 data generation functions in
src/imednet/testing/fake_data.pywere utilized in the generic JSON roundtrip tests, leaving most data models unverified against their payloads and creating a false sense of security. Thefake_datamodule coverage sat at a low 40%.🛡️ Defense: Expanded the
test_json_roundtripparameterized test to iterate over the remaining 10 models (Coding,Interval,Query,Record,RecordRevision,Site,Study,User,Variable, andVisit). Added explicit list-checking assertions forfake_forms_for_cacheandfake_variables_for_cache.🔬 Verification: Run
pytest tests/unit/test_json_roundtrip.pyto confirm the successful evaluation of all 15 scenarios.📊 Impact: Boosts coverage in
src/imednet/testing/fake_data.pyfrom 40% to 81%, significantly bolstering confidence in the test suite and protecting models from arbitrary schema breakage.PR created automatically by Jules for task 6732592961790310232 started by @fderuiter