fix cover

db_dtypes/json.py

@@ -96,9 +96,9 @@ def __init__(self, values) -> None:
         else:
             raise NotImplementedError(f"Unsupported pandas version: {pd.__version__}")
 
-    def __arrow_array__(self):
+    def __arrow_array__(self, type=None):
         """Convert to an arrow array. This is required for pyarrow extension."""
-        return self.pa_data
+        return pa.array(self.pa_data, type=JSONArrowType())
 
     @classmethod
     def _box_pa(
@@ -159,12 +159,7 @@ def _serialize_json(value):
     def _deserialize_json(value):
         """A static method that converts a JSON string back into its original value."""
         if not pd.isna(value):
-            # Attempt to interpret the value as a JSON object.
-            # If it's not valid JSON, treat it as a regular string.
-            try:
-                return json.loads(value)
-            except json.JSONDecodeError:
-                return value
+            return json.loads(value)
         else:
             return value
 
@@ -279,9 +274,6 @@ def __arrow_ext_serialize__(self) -> bytes:
     def __arrow_ext_deserialize__(cls, storage_type, serialized) -> JSONArrowType:
         return JSONArrowType()
 
-    def __hash__(self) -> int:
-        return hash(str(self))
-
     def to_pandas_dtype(self):
         return JSONDtype()
 

tests/unit/test_json.py

@@ -118,6 +118,11 @@ def test_as_numpy_array():
     pd._testing.assert_equal(result, expected)
 
 
+def test_json_arrow_array():
+    data = db_dtypes.JSONArray._from_sequence(JSON_DATA.values())
+    assert isinstance(data.__arrow_array__(), pa.ExtensionArray)
+
+
 def test_json_arrow_storage_type():
     arrow_json_type = db_dtypes.JSONArrowType()
     assert arrow_json_type.extension_name == "dbjson"