Support enum in dataclass

flytekit/core/type_engine.py

@@ -17,6 +17,7 @@
 from google.protobuf.json_format import MessageToDict as _MessageToDict
 from google.protobuf.json_format import ParseDict as _ParseDict
 from google.protobuf.struct_pb2 import Struct
+from marshmallow_enum import EnumField, LoadDumpOptions
 from marshmallow_jsonschema import JSONSchema
 
 from flytekit.common.exceptions import user as user_exceptions
@@ -226,7 +227,13 @@ def get_literal_type(self, t: Type[T]) -> LiteralType:
             )
         schema = None
         try:
-            schema = JSONSchema().dump(cast(DataClassJsonMixin, t).schema())
+            s = cast(DataClassJsonMixin, t).schema()
+            for _, v in s.fields.items():
+                # marshmallow-jsonschema only supports enums loaded by name.
+                # https://github.com/fuhrysteve/marshmallow-jsonschema/blob/81eada1a0c42ff67de216923968af0a6b54e5dcb/marshmallow_jsonschema/base.py#L228
+                if isinstance(v, EnumField):
+                    v.load_by = LoadDumpOptions.name
+            schema = JSONSchema().dump(s)
         except Exception as e:
             logger.warn("failed to extract schema for object %s, (will run schemaless) error: %s", str(t), e)
 

tests/flytekit/unit/core/test_type_engine.py

@@ -10,6 +10,7 @@
 from flyteidl.core import errors_pb2
 from google.protobuf import json_format as _json_format
 from google.protobuf import struct_pb2 as _struct
+from marshmallow_enum import LoadDumpOptions
 from marshmallow_jsonschema import JSONSchema
 
 from flytekit.common.exceptions import user as user_exceptions
@@ -547,6 +548,28 @@ def test_enum_type():
         TypeEngine.to_literal_type(UnsupportedEnumValues)
 
 
+def test_enum_in_dataclass():
+    @dataclass_json
+    @dataclass
+    class Datum(object):
+        x: int
+        y: Color
+
+    lt = TypeEngine.to_literal_type(Datum)
+    schema = Datum.schema()
+    schema.fields["y"].load_by = LoadDumpOptions.name
+    assert lt.metadata == JSONSchema().dump(schema)
+
+    transformer = DataclassTransformer()
+    ctx = FlyteContext.current_context()
+    datum = Datum(5, Color.RED)
+    lv = transformer.to_literal(ctx, datum, Datum, lt)
+    gt = transformer.guess_python_type(lt)
+    pv = transformer.to_python_value(ctx, lv, expected_python_type=gt)
+    assert datum.x == pv.x
+    assert datum.y.value == pv.y
+
+
 @pytest.mark.parametrize(
     "python_value,python_types,expected_literal_map",
     [

tests/flytekit/unit/core/test_type_hints.py

@@ -6,6 +6,7 @@
 import typing
 from collections import OrderedDict
 from dataclasses import dataclass
+from enum import Enum
 
 import pandas
 import pytest
@@ -1063,6 +1064,29 @@ def wf(x: int, y: int) -> Datum:
     wf(x=10, y=20)
 
 
+def test_enum_in_dataclass():
+    class Color(Enum):
+        RED = "red"
+        GREEN = "green"
+        BLUE = "blue"
+
+    @dataclass_json
+    @dataclass
+    class Datum(object):
+        x: int
+        y: Color
+
+    @task
+    def t1(x: int) -> Datum:
+        return Datum(x=x, y=Color.RED)
+
+    @workflow
+    def wf(x: int) -> Datum:
+        return t1(x=x)
+
+    assert wf(x=10) == Datum(10, Color.RED)
+
+
 def test_environment():
     @task(environment={"FOO": "foofoo", "BAZ": "baz"})
     def t1(a: int) -> str: