Corpus: Fix error with renamed text feature

orangecontrib/text/corpus.py

@@ -10,8 +10,16 @@
 import scipy.sparse as sp
 from gensim import corpora
 
-from Orange.data import ContinuousVariable, DiscreteVariable, \
-    Domain, RowInstance, Table, StringVariable
+from Orange.data import (
+    Variable,
+    ContinuousVariable,
+    DiscreteVariable,
+    Domain,
+    RowInstance,
+    Table,
+    StringVariable,
+)
+from Orange.preprocess.transformation import Identity
 # uncomment when Orange3==3.27 is available
 # from Orange.data.util import get_unique_names
 # remove when Orange3==3.27 is available
@@ -102,17 +110,49 @@ def used_preprocessor(self, pp):
         else:
             raise NotImplementedError
 
-    def set_text_features(self, feats):
+    def _find_identical_feature(self, feature: Variable) -> Optional[Variable]:
+        """
+        Find a renamed feature in the domain which is identical to a feature.
+
+        Parameters
+        ----------
+        feature
+            A variable to find an identical variable in the domain.
+
+        Returns
+        -------
+        Variable which is identical to a feature (have different name but has
+        Identity(feature) in compute value.
+        """
+        for var in chain(self.domain.variables, self.domain.metas):
+            if (
+                var == feature
+                or isinstance(var.compute_value, Identity)
+                and var.compute_value.variable == feature
+            ):
+                return var
+        return None
+
+    def set_text_features(self, feats: Optional[List[Variable]]) -> None:
         """
         Select which meta-attributes to include when mining text.
 
-        Args:
-            feats (list or None): List of text features to include. If None infer them.
+        Parameters
+        ----------
+        feats
+            List of text features to include. If None infer them.
         """
         if feats is not None:
-            for f in feats:
+            feats = copy(feats)  # copy to not edit passed array inplace
+            for i, f in enumerate(feats):
                 if f not in chain(self.domain.variables, self.domain.metas):
-                    raise ValueError('Feature "{}" not found.'.format(f))
+                    # if not exact feature in the domain, it may be renamed
+                    # find identity - renamed feature
+                    id_feat = self._find_identical_feature(f)
+                    if id_feat is not None:
+                        feats[i] = id_feat
+                    else:
+                        raise ValueError('Feature "{}" not found.'.format(f))
             if len(set(feats)) != len(feats):
                 raise ValueError('Text features must be unique.')
             self.text_features = feats

orangecontrib/text/tests/test_corpus.py

@@ -132,6 +132,17 @@ def test_extend_attribute_rename_existing(self):
         )
         self.assertEqual(0, len(c.domain.attributes))
 
+    def test_extend_attribute_rename_text_features(self):
+        """
+        Test correctness of extending attributes, case when we want to rename
+        existing attributes
+        """
+        # corpus without features
+        c = Corpus.from_file('book-excerpts')
+        X = np.random.random((len(c), 2))
+        new_c = c.extend_attributes(X, ['Text', '2',], rename_existing=True)
+        self.assertEqual(new_c.X.shape, (len(c), 2))
+
     def test_corpus_not_eq(self):
         c = Corpus.from_file('book-excerpts')
         n_doc = c.X.shape[0]