vincbeck commented on code in PR #33213:
URL: https://github.com/apache/airflow/pull/33213#discussion_r1305851514


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airflow/auth/managers/models/resource_details.py:
##########
@@ -0,0 +1,31 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+
+@dataclass
+class ResourceDetails:
+    """
+    Represents the details of a resource.
+
+    All fields must be optional. These details can be used in authorization 
decision.
+    """
+
+    id: str | None = None

Review Comment:
   I definitely dont like having multiple `is_authorized` methods. I really 
like the fact we have one entry point for authorization: `is_authorized`. It 
makes it cleaner and simpler to me (very subjective I know). What if we use 
dictionary? How could we use dictionary and have only one method 
`is_authorized`?
   
   > Having a dictionary (and well defined structure of it "per resource typ" - 
seems more complex, but in fact it is esier. we are not tied with fields of 
ResourceDetails.
   
   How are you thinking achieving this? Something like 
[schemadict](https://pypi.org/project/schemadict/) and we would have one schema 
per resource type? Performance wise I am not sure this is the right decision 
since `is_authorized` is called quite a lot



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