def main(user_id: str):
    return user_id


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

Sau đó có thể được sử dụng:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

def main(user_id: str):
    return user_id


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

可以像这样来使用：

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

def main(user_id: str):
    return user_id


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

위의 코드는 다음과 같이 사용될 수 있습니다:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

// FlowDistinguisherMethod specifies the method of a flow distinguisher.
message FlowDistinguisherMethod {
  // `type` is the type of flow distinguisher method
  // The supported types are "ByUser" and "ByNamespace".
  // Required.
  optional string type = 1;
}

// FlowSchema defines the schema of a group of flows. Note that a flow is made up of a set of inbound API requests with

Following is a sample directory structure for MinIO server with TLS certificates.

```sh
$ mc tree --files ~/.minio
/home/user1/.minio
└─ certs
   ├─ CAs
   ├─ private.key
   └─ public.crt
```

You can provide a custom certs directory using `--certs-dir` command line option.

#### Credentials

def main(user_id: str):
    return user_id


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

これは以下のように用いられます:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

这将或多或少会成为一种“神奇”属性，其中表示该表与其他相关的表中的值。

```Python hl_lines="2  15  26"
{!../../docs_src/sql_databases/sql_app/models.py!}
```

当访问 user 中的属性`items`时，如 中`my_user.items`，它将有一个`Item`SQLAlchemy 模型列表（来自`items`表），这些模型具有指向`users`表中此记录的外键。

当您访问`my_user.items`时，SQLAlchemy 实际上会从`items`表中的获取一批记录并在此处填充进去。

同样，当访问 Item中的属性`owner`时，它将包含表中的`User`SQLAlchemy 模型`users`。使用`owner_id`属性/列及其外键来了解要从`users`表中获取哪条记录。

## 创建 Pydantic 模型

// FlowDistinguisherMethod specifies the method of a flow distinguisher.
message FlowDistinguisherMethod {
  // `type` is the type of flow distinguisher method
  // The supported types are "ByUser" and "ByNamespace".
  // Required.
  optional string type = 1;
}

// FlowSchema defines the schema of a group of flows. Note that a flow is made up of a set of inbound API requests with

// FlowDistinguisherMethod specifies the method of a flow distinguisher.
message FlowDistinguisherMethod {
  // `type` is the type of flow distinguisher method
  // The supported types are "ByUser" and "ByNamespace".
  // Required.
  optional string type = 1;
}

// FlowSchema defines the schema of a group of flows. Note that a flow is made up of a set of inbound API requests with

// FlowDistinguisherMethod specifies the method of a flow distinguisher.
message FlowDistinguisherMethod {
  // `type` is the type of flow distinguisher method
  // The supported types are "ByUser" and "ByNamespace".
  // Required.
  optional string type = 1;
}

// FlowSchema defines the schema of a group of flows. Note that a flow is made up of a set of inbound API requests with