from datetime import datetime, timedelta, timezone
from typing import List, Union

import jwt
from fastapi import Depends, FastAPI, HTTPException, Security, status
from fastapi.security import (
    OAuth2PasswordBearer,
    OAuth2PasswordRequestForm,
    SecurityScopes,
)
from jwt.exceptions import InvalidTokenError
from passlib.context import CryptContext
from pydantic import BaseModel, ValidationError
from typing_extensions import Annotated

```

### Template-Kontextwerte

Im HTML, welches enthält:

{% raw %}

```jinja
Item ID: {{ id }}
```

{% endraw %}

... wird die `id` angezeigt, welche dem „Kontext“-`dict` entnommen wird, welches Sie übergeben haben:

```Python
{"id": id}
```

Mit beispielsweise einer ID `42` würde das wie folgt gerendert werden:

```html
Item ID: 42
```

            Map<String, Artifact> managedVersions,
            ArtifactRepository localRepository,
            List<ArtifactRepository> remoteRepositories,
            ArtifactMetadataSource source,
            ArtifactFilter filter,
            List<ResolutionListener> listeners,
            List<ConflictResolver> conflictResolvers)
            throws ArtifactResolutionException, ArtifactNotFoundException {

在这里，我们只关注数据库的工具和机制。

///

/// tip

这里不是将每个关键字参数传递给Item并从Pydantic模型中读取每个参数，而是先生成一个字典，其中包含Pydantic模型的数据：

`item.dict()`

然后我们将dict的键值对 作为关键字参数传递给 SQLAlchemy `Item`：

`Item(**item.dict())`

然后我们传递 Pydantic模型未提供的额外关键字参数`owner_id`：

`Item(**item.dict(), owner_id=user_id)`

///

## 主**FastAPI**应用程序

现在在`sql_app/main.py`文件中 让我们集成和使用我们之前创建的所有其他部分。

### 创建数据库表

		rc, err := localDrive.ReadFileStream(context.Background(), minioMetaBucket, pathJoin(healMRFDir, "list.bin"), 0, -1)
		if err != nil {
			continue
		}
		err = loadMRF(rc, m.opCh)
		if err != nil {
			continue
		}
		// finally delete the file after processing mrf entries
		localDrive.Delete(GlobalContext, minioMetaBucket, pathJoin(healMRFDir, "list.bin"), DeleteOptions{})
		break
	}

	return
}

	NextVersionIDMarker string

	// List of objects info for this request.
	Objects []ObjectInfo

	// List of prefixes for this request.
	Prefixes []string
}

// ListObjectsInfo - container for list objects.
type ListObjectsInfo struct {
	// Indicates whether the returned list objects response is truncated. A
	// value of true indicates that the list was truncated. The list can be truncated

        "The process cannot access the file because it is being used by another process.",
        "The process cannot access the file because another process has locked a portion of the file.", "The disk is full.",
        "A duplicate name exists on the network.", "The network name cannot be found.", "ERRnomoreconn.", "The file exists.",

        "The process cannot access the file because it is being used by another process.",
        "The process cannot access the file because another process has locked a portion of the file.",
        "The disk is full.",
        "A duplicate name exists on the network.",
        "The network name cannot be found.",
        "ERRnomoreconn.",
        "The file exists.",
        "The parameter is incorrect.",

import java.util.HashMap;
import java.util.List;
import java.util.Map;

import javax.servlet.ServletException;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

import org.apache.commons.fileupload.FileItem;
import org.apache.commons.fileupload.FileUploadException;
import org.apache.commons.fileupload.disk.DiskFileItemFactory;

它接收的类型与你将为 Pydantic 模型属性所声明的类型相同，因此它可以是一个 Pydantic 模型，但也可以是一个由 Pydantic 模型组成的 `list`，例如 `List[Item]`。

FastAPI 将使用此 `response_model` 来：

* 将输出数据转换为其声明的类型。
* 校验数据。
* 在 OpenAPI 的*路径操作*中为响应添加一个 JSON Schema。
* 并在自动生成文档系统中使用。

但最重要的是：

* 会将输出数据限制在该模型定义内。下面我们会看到这一点有多重要。

/// note | "技术细节"

响应模型在参数中被声明，而不是作为函数返回类型的注解，这是因为路径函数可能不会真正返回该响应模型，而是返回一个 `dict`、数据库对象或其他模型，然后再使用 `response_model` 来执行字段约束和序列化。

///

## 返回与输入相同的数据