增加环绕侦察场景适配

This commit is contained in:
2026-01-08 15:44:38 +08:00
parent 3eba1f962b
commit 10c5bb5a8a
5441 changed files with 40219 additions and 379695 deletions

View File

@@ -1,21 +1,16 @@
from collections.abc import Mapping
from typing import (
Annotated,
Any,
BinaryIO,
Callable,
Dict,
Iterable,
Optional,
Type,
TypeVar,
cast,
)
from annotated_doc import Doc
from fastapi._compat import (
CoreSchema,
GetJsonSchemaHandler,
JsonSchemaValue,
)
from pydantic import GetJsonSchemaHandler
from starlette.datastructures import URL as URL # noqa: F401
from starlette.datastructures import Address as Address # noqa: F401
from starlette.datastructures import FormData as FormData # noqa: F401
@@ -23,7 +18,6 @@ from starlette.datastructures import Headers as Headers # noqa: F401
from starlette.datastructures import QueryParams as QueryParams # noqa: F401
from starlette.datastructures import State as State # noqa: F401
from starlette.datastructures import UploadFile as StarletteUploadFile
from typing_extensions import Annotated
class UploadFile(StarletteUploadFile):
@@ -137,37 +131,22 @@ class UploadFile(StarletteUploadFile):
"""
return await super().close()
@classmethod
def __get_validators__(cls: Type["UploadFile"]) -> Iterable[Callable[..., Any]]:
yield cls.validate
@classmethod
def validate(cls: Type["UploadFile"], v: Any) -> Any:
if not isinstance(v, StarletteUploadFile):
raise ValueError(f"Expected UploadFile, received: {type(v)}")
return v
@classmethod
def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":
if not isinstance(__input_value, StarletteUploadFile):
raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
return cast(UploadFile, __input_value)
# TODO: remove when deprecating Pydantic v1
@classmethod
def __modify_schema__(cls, field_schema: Dict[str, Any]) -> None:
field_schema.update({"type": "string", "format": "binary"})
@classmethod
def __get_pydantic_json_schema__(
cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
) -> JsonSchemaValue:
cls, core_schema: Mapping[str, Any], handler: GetJsonSchemaHandler
) -> dict[str, Any]:
return {"type": "string", "format": "binary"}
@classmethod
def __get_pydantic_core_schema__(
cls, source: Type[Any], handler: Callable[[Any], CoreSchema]
) -> CoreSchema:
cls, source: type[Any], handler: Callable[[Any], Mapping[str, Any]]
) -> Mapping[str, Any]:
from ._compat.v2 import with_info_plain_validator_function
return with_info_plain_validator_function(cls._validate)