mirror of https://github.com/tiangolo/fastapi.git
Compare objects MRO with encoders at runtime
The previous implementation doesn't handle subclass instances when pydantic.json.ENCODERS_BY_TYPE is modified after fastapi.encoders import. This diff makes it easier for developers to add custom encoders that also work with subclass instances (and it simplifies the code, as well).
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@ -1,6 +1,6 @@
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import dataclasses
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import datetime
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from collections import defaultdict, deque
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from collections import deque
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from decimal import Decimal
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from enum import Enum
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from ipaddress import (
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@ -94,20 +94,6 @@ ENCODERS_BY_TYPE: dict[type[Any], Callable[[Any], Any]] = {
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}
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def generate_encoders_by_class_tuples(
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type_encoder_map: dict[Any, Callable[[Any], Any]],
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) -> dict[Callable[[Any], Any], tuple[Any, ...]]:
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encoders_by_class_tuples: dict[Callable[[Any], Any], tuple[Any, ...]] = defaultdict(
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tuple
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)
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for type_, encoder in type_encoder_map.items():
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encoders_by_class_tuples[encoder] += (type_,)
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return encoders_by_class_tuples
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encoders_by_class_tuples = generate_encoders_by_class_tuples(ENCODERS_BY_TYPE)
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def jsonable_encoder(
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obj: Annotated[
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Any,
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@ -313,11 +299,9 @@ def jsonable_encoder(
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)
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return encoded_list
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if type(obj) in ENCODERS_BY_TYPE:
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return ENCODERS_BY_TYPE[type(obj)](obj)
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for encoder, classes_tuple in encoders_by_class_tuples.items():
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if isinstance(obj, classes_tuple):
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return encoder(obj)
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for base in obj.__class__.__mro__[:-1]:
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if base in ENCODERS_BY_TYPE:
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return ENCODERS_BY_TYPE[base](obj)
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if is_pydantic_v1_model_instance(obj):
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raise PydanticV1NotSupportedError(
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"pydantic.v1 models are no longer supported by FastAPI."
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