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💥 Remove: 移除 Python 3.8 支持 (#2641)

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Ju4tCode
2024-04-16 00:33:48 +08:00
committed by GitHub
parent e93ee1ffec
commit 4a02dde83f
69 changed files with 1811 additions and 1848 deletions
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51
nonebot/compat.py
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@ -7,21 +7,18 @@ FrontMatter:
description: nonebot.compat 模块
"""
from collections.abc import Generator
from dataclasses import dataclass, is_dataclass
from typing_extensions import Self, Annotated, get_args, get_origin, is_typeddict
from typing_extensions import Self, get_args, get_origin, is_typeddict
from typing import (
TYPE_CHECKING,
Any,
Set,
Dict,
List,
Type,
Union,
TypeVar,
Callable,
Optional,
Protocol,
Generator,
Annotated,
)
from pydantic import VERSION, BaseModel
@ -94,7 +91,7 @@ if PYDANTIC_V2: # pragma: pydantic-v2
super().__init__(default=default, **kwargs)
@property
def extra(self) -> Dict[str, Any]:
def extra(self) -> dict[str, Any]:
"""Extra data that is not part of the standard pydantic fields.
For compatibility with pydantic v1.
@ -160,7 +157,7 @@ if PYDANTIC_V2: # pragma: pydantic-v2
# to allow store them in a set.
return id(self)
def extract_field_info(field_info: BaseFieldInfo) -> Dict[str, Any]:
def extract_field_info(field_info: BaseFieldInfo) -> dict[str, Any]:
"""Get FieldInfo init kwargs from a FieldInfo instance."""
kwargs = field_info._attributes_set.copy()
@ -176,7 +173,7 @@ if PYDANTIC_V2: # pragma: pydantic-v2
type, config=None if model_field._annotation_has_config() else config
).validate_python(value)
def model_fields(model: Type[BaseModel]) -> List[ModelField]:
def model_fields(model: type[BaseModel]) -> list[ModelField]:
"""Get field list of a model."""
return [
@ -188,19 +185,19 @@ if PYDANTIC_V2: # pragma: pydantic-v2
for name, field_info in model.model_fields.items()
]
def model_config(model: Type[BaseModel]) -> Any:
def model_config(model: type[BaseModel]) -> Any:
"""Get config of a model."""
return model.model_config
def model_dump(
model: BaseModel,
include: Optional[Set[str]] = None,
exclude: Optional[Set[str]] = None,
include: Optional[set[str]] = None,
exclude: Optional[set[str]] = None,
by_alias: bool = False,
exclude_unset: bool = False,
exclude_defaults: bool = False,
exclude_none: bool = False,
) -> Dict[str, Any]:
) -> dict[str, Any]:
return model.model_dump(
include=include,
exclude=exclude,
@ -210,16 +207,16 @@ if PYDANTIC_V2: # pragma: pydantic-v2
exclude_none=exclude_none,
)
def type_validate_python(type_: Type[T], data: Any) -> T:
def type_validate_python(type_: type[T], data: Any) -> T:
"""Validate data with given type."""
return TypeAdapter(type_).validate_python(data)
def type_validate_json(type_: Type[T], data: Union[str, bytes]) -> T:
def type_validate_json(type_: type[T], data: Union[str, bytes]) -> T:
"""Validate JSON with given type."""
return TypeAdapter(type_).validate_json(data)
def __get_pydantic_core_schema__(
cls: Type["_CustomValidationClass"],
cls: type["_CustomValidationClass"],
source_type: Any,
handler: GetCoreSchemaHandler,
) -> CoreSchema:
@ -230,7 +227,7 @@ if PYDANTIC_V2: # pragma: pydantic-v2
[core_schema.no_info_plain_validator_function(func) for func in validators]
)
def custom_validation(class_: Type["CVC"]) -> Type["CVC"]:
def custom_validation(class_: type["CVC"]) -> type["CVC"]:
"""Use pydantic v1 like validator generator in pydantic v2"""
setattr(
@ -308,7 +305,7 @@ else: # pragma: pydantic-v1
)
return cls._construct(name, annotation, field_info or FieldInfo())
def extract_field_info(field_info: BaseFieldInfo) -> Dict[str, Any]:
def extract_field_info(field_info: BaseFieldInfo) -> dict[str, Any]:
"""Get FieldInfo init kwargs from a FieldInfo instance."""
kwargs = {
@ -318,7 +315,7 @@ else: # pragma: pydantic-v1
return kwargs
def model_field_validate(
model_field: ModelField, value: Any, config: Optional[Type[ConfigDict]] = None
model_field: ModelField, value: Any, config: Optional[type[ConfigDict]] = None
) -> Any:
"""Validate the value pass to the field.
@ -333,7 +330,7 @@ else: # pragma: pydantic-v1
raise ValueError(value, model_field)
return v
def model_fields(model: Type[BaseModel]) -> List[ModelField]:
def model_fields(model: type[BaseModel]) -> list[ModelField]:
"""Get field list of a model."""
# construct the model field without preprocess to avoid error
@ -348,19 +345,19 @@ else: # pragma: pydantic-v1
for model_field in model.__fields__.values()
]
def model_config(model: Type[BaseModel]) -> Any:
def model_config(model: type[BaseModel]) -> Any:
"""Get config of a model."""
return model.__config__
def model_dump(
model: BaseModel,
include: Optional[Set[str]] = None,
exclude: Optional[Set[str]] = None,
include: Optional[set[str]] = None,
exclude: Optional[set[str]] = None,
by_alias: bool = False,
exclude_unset: bool = False,
exclude_defaults: bool = False,
exclude_none: bool = False,
) -> Dict[str, Any]:
) -> dict[str, Any]:
return model.dict(
include=include,
exclude=exclude,
@ -370,14 +367,14 @@ else: # pragma: pydantic-v1
exclude_none=exclude_none,
)
def type_validate_python(type_: Type[T], data: Any) -> T:
def type_validate_python(type_: type[T], data: Any) -> T:
"""Validate data with given type."""
return parse_obj_as(type_, data)
def type_validate_json(type_: Type[T], data: Union[str, bytes]) -> T:
def type_validate_json(type_: type[T], data: Union[str, bytes]) -> T:
"""Validate JSON with given type."""
return parse_raw_as(type_, data)
def custom_validation(class_: Type["CVC"]) -> Type["CVC"]:
def custom_validation(class_: type["CVC"]) -> type["CVC"]:
"""Do nothing in pydantic v1"""
return class_