Refactor ListEndpointMixin into focused mixins #641
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- Extracted `ParamMixin` to handle parameter resolution and filtering logic. - Extracted `CacheMixin` to handle caching logic. - `ListEndpointMixin` now composes these mixins, adhering to SRP. - Verified with existing tests in `tests/unit/endpoints/test_list_get.py`. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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- Extracted `ParamMixin` to handle parameter resolution and filtering logic. - Extracted `CacheMixin` to handle caching logic. - `ListEndpointMixin` now composes these mixins, adhering to SRP. - Verified with existing tests in `tests/unit/endpoints/test_list_get.py`. - Fixed formatting issues with `black` and `isort`. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
fderuiter
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Pull request overview
This PR refactors ListEndpointMixin in imednet/core/endpoint/mixins.py by splitting parameter/filter handling and caching logic into two dedicated mixins (ParamMixin and CacheMixin) while keeping the list execution flow in ListEndpointMixin.
Changes:
- Extracted cache-related helpers into
CacheMixin(_get_local_cache,_check_cache_hit,_update_local_cache). - Extracted filter/param normalization into
ParamMixin(_resolve_params,_extract_special_paramshook). - Updated
ListEndpointMixin._list_implto use the new mixins for param resolution and cache handling.
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| study, params, other_filters = self._resolve_params(study_key, extra_params, filters) | ||
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| # Cache Hit Check | ||
| if self.requires_study_key: | ||
| if not study: | ||
| # Should have been caught in _prepare_list_params but strict typing requires check | ||
| raise ValueError("Study key must be provided or set in the context") | ||
| if cache is not None and not other_filters and not refresh and study in cache: | ||
| return cast(List[T], cache[study]) | ||
| else: | ||
| if cache is not None and not other_filters and not refresh: | ||
| return cast(List[T], cache) | ||
| cache = self._get_local_cache() | ||
| cached_result = self._check_cache_hit(study, refresh, other_filters, cache) | ||
| if cached_result is not None: | ||
| return cast(List[T], cached_result) |
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_list_impl no longer has the explicit guard that study must be present when requires_study_key is true (the old implementation raised immediately). Since _resolve_params can still return a falsy study (e.g. when _pop_study_filter is enabled and the caller passes studyKey=None/"" in filters), this can produce paths like /.../None/... and cache entries keyed under None. Add a strict check here (or in _resolve_params) to raise the same missing-study error before attempting cache/path/pagination work.
| study, params, other_filters = self._resolve_params(study_key, extra_params, filters) | ||
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| # Cache Hit Check | ||
| if self.requires_study_key: | ||
| if not study: | ||
| # Should have been caught in _prepare_list_params but strict typing requires check | ||
| raise ValueError("Study key must be provided or set in the context") | ||
| if cache is not None and not other_filters and not refresh and study in cache: | ||
| return cast(List[T], cache[study]) | ||
| else: | ||
| if cache is not None and not other_filters and not refresh: | ||
| return cast(List[T], cache) | ||
| cache = self._get_local_cache() | ||
| cached_result = self._check_cache_hit(study, refresh, other_filters, cache) | ||
| if cached_result is not None: | ||
| return cast(List[T], cached_result) |
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Consider adding a unit test for the requires_study_key + _pop_study_filter path where studyKey is provided but falsy (e.g. studyKey=None or empty string via **filters). This refactor removed the explicit study validation from _list_impl, so a targeted test would help ensure missing/invalid study keys are still rejected consistently and don’t lead to /None/ paths or incorrect caching.
1 participant
This refactoring splits the
ListEndpointMixininimednet/core/endpoint/mixins.pyinto smaller, more focused mixins (ParamMixinandCacheMixin). This improves the maintainability and testability of the code by adhering to the Single Responsibility Principle. The logic for parameter handling and caching is now decoupled from the main list execution flow. No behavior changes were introduced.PR created automatically by Jules for task 5224798271895880288 started by @fderuiter