1#
2# Licensed to the Apache Software Foundation (ASF) under one
3# or more contributor license agreements. See the NOTICE file
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6# to you under the Apache License, Version 2.0 (the
7# "License"); you may not use this file except in compliance
8# with the License. You may obtain a copy of the License at
9#
10# http://www.apache.org/licenses/LICENSE-2.0
11#
12# Unless required by applicable law or agreed to in writing,
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14# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15# KIND, either express or implied. See the License for the
16# specific language governing permissions and limitations
17# under the License.
18from __future__ import annotations
19
20from dataclasses import is_dataclass
21from typing import Any
22
23
24def is_pydantic_model(cls: Any) -> bool:
25 """
26 Return True if the class is a pydantic.main.BaseModel.
27
28 Checking is done by attributes as it is significantly faster than
29 using isinstance.
30 """
31 # __pydantic_fields__ is always present on Pydantic V2 models and is a dict[str, FieldInfo]
32 # __pydantic_validator__ is an internal validator object, always set after model build
33 # Check if it is not a dataclass to prevent detecting pydantic dataclasses as pydantic models
34 return (
35 hasattr(cls, "__pydantic_fields__")
36 and hasattr(cls, "__pydantic_validator__")
37 and not is_dataclass(cls)
38 )