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venv/lib/python3.9/site-packages/graphene/tests/issues/test_1419.py

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+import pytest
+
+from ...types.base64 import Base64
+from ...types.datetime import Date, DateTime
+from ...types.decimal import Decimal
+from ...types.generic import GenericScalar
+from ...types.json import JSONString
+from ...types.objecttype import ObjectType
+from ...types.scalars import ID, BigInt, Boolean, Float, Int, String
+from ...types.schema import Schema
+from ...types.uuid import UUID
+
+
+@pytest.mark.parametrize(
+    "input_type,input_value",
+    [
+        (Date, '"2022-02-02"'),
+        (GenericScalar, '"foo"'),
+        (Int, "1"),
+        (BigInt, "12345678901234567890"),
+        (Float, "1.1"),
+        (String, '"foo"'),
+        (Boolean, "true"),
+        (ID, "1"),
+        (DateTime, '"2022-02-02T11:11:11"'),
+        (UUID, '"cbebbc62-758e-4f75-a890-bc73b5017d81"'),
+        (Decimal, '"1.1"'),
+        (JSONString, '"{\\"key\\":\\"foo\\",\\"value\\":\\"bar\\"}"'),
+        (Base64, '"Q2hlbG8gd29ycmxkCg=="'),
+    ],
+)
+def test_parse_literal_with_variables(input_type, input_value):
+    # input_b needs to be evaluated as literal while the variable dict for
+    # input_a is passed along.
+
+    class Query(ObjectType):
+        generic = GenericScalar(input_a=GenericScalar(), input_b=input_type())
+
+        def resolve_generic(self, info, input_a=None, input_b=None):
+            return input
+
+    schema = Schema(query=Query)
+
+    query = f"""
+        query Test($a: GenericScalar){{
+            generic(inputA: $a, inputB: {input_value})
+        }}
+    """
+    result = schema.execute(
+        query,
+        variables={"a": "bar"},
+    )
+    assert not result.errors