fix: Temporarily disable security feature of skops used in `SklearnBa…

…seEstimatorItem`

src/skore/item/sklearn_base_estimator_item.py

@@ -25,8 +25,9 @@ class SklearnBaseEstimatorItem(Item):
 
     def __init__(
         self,
-        estimator_skops,
-        estimator_html_repr,
+        estimator_html_repr: str,
+        estimator_skops: bytes,
+        estimator_skops_untrusted_types: list[str],
         created_at: str | None = None,
         updated_at: str | None = None,
     ):
@@ -35,19 +36,22 @@ def __init__(
 
         Parameters
         ----------
-        estimator_skops : Any
-            The skops representation of the scikit-learn estimator.
         estimator_html_repr : str
             The HTML representation of the scikit-learn estimator.
+        estimator_skops : bytes
+            The skops representation of the scikit-learn estimator.
+        estimator_skops_untrusted_types : list[str]
+            The list of untrusted types in the skops representation.
         created_at : str, optional
             The creation timestamp in ISO format.
         updated_at : str, optional
             The last update timestamp in ISO format.
         """
         super().__init__(created_at, updated_at)
 
-        self.estimator_skops = estimator_skops
         self.estimator_html_repr = estimator_html_repr
+        self.estimator_skops = estimator_skops
+        self.estimator_skops_untrusted_types = estimator_skops_untrusted_types
 
     @cached_property
     def estimator(self) -> sklearn.base.BaseEstimator:
@@ -61,7 +65,9 @@ def estimator(self) -> sklearn.base.BaseEstimator:
         """
         import skops.io
 
-        return skops.io.loads(self.estimator_skops)
+        return skops.io.loads(
+            self.estimator_skops, trusted=self.estimator_skops_untrusted_types
+        )
 
     @classmethod
     def factory(cls, estimator: sklearn.base.BaseEstimator) -> SklearnBaseEstimatorItem:
@@ -85,9 +91,16 @@ def factory(cls, estimator: sklearn.base.BaseEstimator) -> SklearnBaseEstimatorI
         if not isinstance(estimator, sklearn.base.BaseEstimator):
             raise TypeError(f"Type '{estimator.__class__}' is not supported.")
 
+        estimator_html_repr = sklearn.utils.estimator_html_repr(estimator)
+        estimator_skops = skops.io.dumps(estimator)
+        estimator_skops_untrusted_types = skops.io.get_untrusted_types(
+            data=estimator_skops
+        )
+
         instance = cls(
-            estimator_skops=skops.io.dumps(estimator),
-            estimator_html_repr=sklearn.utils.estimator_html_repr(estimator),
+            estimator_html_repr=estimator_html_repr,
+            estimator_skops=estimator_skops,
+            estimator_skops_untrusted_types=estimator_skops_untrusted_types,
         )
 
         # add estimator as cached property

tests/unit/item/test_sklearn_base_estimator_item.py

@@ -11,32 +11,42 @@ def monkeypatch_datetime(self, monkeypatch, MockDatetime):
 
     @pytest.mark.order(0)
     def test_factory(self, monkeypatch, mock_nowstr):
-        monkeypatch.setattr("skops.io.dumps", lambda _: "<estimator_skops>")
-        monkeypatch.setattr(
-            "sklearn.utils.estimator_html_repr", lambda _: "<estimator_html_repr>"
-        )
-
         estimator = sklearn.svm.SVC()
-        estimator_skops = "<estimator_skops>"
         estimator_html_repr = "<estimator_html_repr>"
+        estimator_skops = "<estimator_skops>"
+        estimator_skops_untrusted_types = "<estimator_skops_untrusted_types>"
+
+        monkeypatch.setattr(
+            "sklearn.utils.estimator_html_repr",
+            lambda *args, **kwargs: estimator_html_repr,
+        )
+        monkeypatch.setattr("skops.io.dumps", lambda *args, **kwargs: estimator_skops)
+        monkeypatch.setattr(
+            "skops.io.get_untrusted_types",
+            lambda *args, **kwargs: estimator_skops_untrusted_types,
+        )
 
         item = SklearnBaseEstimatorItem.factory(estimator)
 
-        assert item.estimator_skops == estimator_skops
         assert item.estimator_html_repr == estimator_html_repr
+        assert item.estimator_skops == estimator_skops
+        assert item.estimator_skops_untrusted_types == estimator_skops_untrusted_types
         assert item.created_at == mock_nowstr
         assert item.updated_at == mock_nowstr
 
     @pytest.mark.order(1)
     def test_estimator(self, mock_nowstr):
         estimator = sklearn.svm.SVC()
         estimator_skops = skops.io.dumps(estimator)
-        estimator_html_repr = "<estimator_html_repr>"
+        estimator_skops_untrusted_types = skops.io.get_untrusted_types(
+            data=estimator_skops
+        )
 
         item1 = SklearnBaseEstimatorItem.factory(estimator)
         item2 = SklearnBaseEstimatorItem(
+            estimator_html_repr=None,
             estimator_skops=estimator_skops,
-            estimator_html_repr=estimator_html_repr,
+            estimator_skops_untrusted_types=estimator_skops_untrusted_types,
             created_at=mock_nowstr,
             updated_at=mock_nowstr,
         )