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abstract_type.py
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63 lines (50 loc) · 1.86 KB
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# Licensed to the LF AI & Data foundation 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 abc import abstractmethod
from typing import TYPE_CHECKING, Any, Type, TypeVar
from docarray.utils._internal.pydantic import is_pydantic_v2
if TYPE_CHECKING:
if is_pydantic_v2:
from pydantic import GetCoreSchemaHandler
from pydantic_core import core_schema
from docarray.base_doc.base_node import BaseNode
T = TypeVar('T')
class AbstractType(BaseNode):
@classmethod
def __get_validators__(cls):
yield cls.validate
@classmethod
@abstractmethod
def _docarray_validate(cls: Type[T], value: Any) -> T:
...
if is_pydantic_v2:
@classmethod
def validate(cls: Type[T], value: Any, _: Any) -> T:
return cls._docarray_validate(value)
else:
@classmethod
def validate(
cls: Type[T],
value: Any,
) -> T:
return cls._docarray_validate(value)
if is_pydantic_v2:
@classmethod
@abstractmethod
def __get_pydantic_core_schema__(
cls, _source_type: Any, _handler: 'GetCoreSchemaHandler'
) -> 'core_schema.CoreSchema':
...