edges: list[DiscussionsEdge]


class DiscussionsRepository(BaseModel):
    discussions: Discussions


class DiscussionsResponseData(BaseModel):
    repository: DiscussionsRepository


class DiscussionsResponse(BaseModel):
    data: DiscussionsResponseData


class Settings(BaseSettings):
    github_token: SecretStr
    github_repository: str
    httpx_timeout: int = 30

def create_body_model(
    *, fields: Sequence[ModelField], model_name: str
) -> type[BaseModel]:
    field_params = {f.name: (f.field_info.annotation, f.field_info) for f in fields}
    BodyModel: type[BaseModel] = create_model(model_name, **field_params)  # type: ignore[call-overload]
    return BodyModel


def get_model_fields(model: type[BaseModel]) -> list[ModelField]:
    model_fields: list[ModelField] = []

由于不推荐，在使用 `GET` 时，Swagger UI 的交互式文档不会显示请求体的文档，而且中间的代理可能也不支持它。

///

## 导入 Pydantic 的 `BaseModel` { #import-pydantics-basemodel }

从 `pydantic` 中导入 `BaseModel`：

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## 创建数据模型 { #create-your-data-model }

把数据模型声明为继承 `BaseModel` 的类。

使用 Python 标准类型声明所有属性：

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

        return True
    # If it's a Form (or File) field, it has to be a BaseModel (or a union of BaseModels) to be top level
    # otherwise it has to be embedded, so that the key value pair can be extracted
    if (
        isinstance(first_field.field_info, params.Form)
        and not lenient_issubclass(first_field.field_info.annotation, BaseModel)
        and not is_union_of_base_models(first_field.field_info.annotation)
    ):

from fastapi.security.base import SecurityBase
from fastapi.security.utils import get_authorization_scheme_param
from pydantic import BaseModel
from starlette.requests import Request
from starlette.status import HTTP_401_UNAUTHORIZED


class HTTPBasicCredentials(BaseModel):
    """
    The HTTP Basic credentials given as the result of using `HTTPBasic` in a
    dependency.

    Read more about it in the

class Server(BaseModelWithConfig):
    url: AnyUrl | str
    description: str | None = None
    variables: dict[str, ServerVariable] | None = None


class Reference(BaseModel):
    ref: str = Field(alias="$ref")


class Discriminator(BaseModel):
    propertyName: str
    mapping: dict[str, str] | None = None


class XML(BaseModelWithConfig):
    name: str | None = None
    namespace: str | None = None

여러분은 타입이 있는 표준 Python을 다음과 같이 작성합니다:

```Python
from datetime import date

from pydantic import BaseModel

# 변수를 str로 선언합니다
# 그리고 함수 내부에서 편집기 지원을 받습니다
def main(user_id: str):
    return user_id


# Pydantic 모델
class User(BaseModel):
    id: int
    name: str
    joined: date
```

그 다음 다음과 같이 사용할 수 있습니다:

```Python

from typing import Annotated, Any
from uuid import UUID

from annotated_doc import Doc
from fastapi.exceptions import PydanticV1NotSupportedError
from fastapi.types import IncEx
from pydantic import BaseModel
from pydantic.color import Color  # ty: ignore[deprecated]
from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from pydantic_core import PydanticUndefinedType

型を使った標準的な Python を記述します:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは次のように使えます:

```Python

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# 将变量声明为 str
# 并在函数内获得编辑器支持
def main(user_id: str):
    return user_id


# 一个 Pydantic 模型
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

```Python