fix: fix mypy issue where _TabularDataNodeMixin._decoder should be any type of Callable

taipy/core/data/_tabular_datanode_mixin.py

@@ -29,15 +29,16 @@ class _TabularDataNodeMixin(object):
     __VALID_STRING_EXPOSED_TYPES = [_EXPOSED_TYPE_PANDAS, _EXPOSED_TYPE_NUMPY]
 
     def __init__(self, **kwargs) -> None:
-        self._decoder: Union[Callable[[List[Any]], Any], Callable[[Dict[Any, Any]], Any]]
+        self._decoder: Union[Callable, Any]
         self.custom_document = kwargs.get(self._EXPOSED_TYPE_PROPERTY)
-        if kwargs.get(self._HAS_HEADER_PROPERTY, True):
-            self._decoder = self._default_decoder_with_header
-        else:
-            self._decoder = self._default_decoder_without_header
+
         custom_decoder = getattr(self.custom_document, "decode", None)
         if callable(custom_decoder):
             self._decoder = custom_decoder
+        elif kwargs.get(self._HAS_HEADER_PROPERTY, True):
+            self._decoder = self._default_decoder_with_header
+        else:
+            self._decoder = self._default_decoder_without_header
 
         self._encoder = self._default_encoder
         custom_encoder = getattr(self.custom_document, "encode", None)

taipy/core/data/csv.py

@@ -140,7 +140,7 @@ class CSVDataNode(DataNode, _FileDataNodeMixin, _TabularDataNodeMixin):
         return self._read_from_path()
 
     def _read_from_path(self, path: Optional[str] = None, **read_kwargs) -> Any:
-        if not path:
+        if path is None:
             path = self._path
 
         if self.properties[self._EXPOSED_TYPE_PROPERTY] == self._EXPOSED_TYPE_PANDAS:
@@ -152,11 +152,11 @@ class CSVDataNode(DataNode, _FileDataNodeMixin, _TabularDataNodeMixin):
     def _read_as(self, path: str):
         with open(path, encoding=self.properties[self.__ENCODING_KEY]) as csvFile:
             if self.properties[self._HAS_HEADER_PROPERTY]:
-                reader = csv.DictReader(csvFile)
-            else:
-                reader = csv.reader(csvFile)
+                reader_with_header = csv.DictReader(csvFile)
+                return [self._decoder(line) for line in reader_with_header]
 
-            return [self._decoder(line) for line in reader]
+            reader_without_header = csv.reader(csvFile)
+            return [self._decoder(line) for line in reader_without_header]
 
     def _read_as_numpy(self, path: str) -> np.ndarray:
         return self._read_as_pandas_dataframe(path=path).to_numpy()