```

### 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
```

def resolve_files(*, items: List[Any], files: Files, config: MkDocsConfig) -> None:
    for item in items:
        if isinstance(item, str):
            resolve_file(item=item, files=files, config=config)
        elif isinstance(item, dict):
            assert len(item) == 1
            values = list(item.values())
            if not values:
                continue
            if isinstance(values[0], str):

	d.maxSleep = maxWait
	d.cycle = make(chan struct{})
	return nil
}

const (
	// ILMExpiry - audit trail for ILM expiry
	ILMExpiry = "ilm:expiry"
	// ILMFreeVersionDelete - audit trail for ILM free-version delete
	ILMFreeVersionDelete = "ilm:free-version-delete"
	// ILMTransition - audit trail for ILM transitioning.
	ILMTransition = " ilm:transition"
)

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

                log.debug("Have initial token " + tok);
            }
            if ( tok.getMechanisms() != null ) {
                Set<ASN1ObjectIdentifier> mechs = new HashSet<>(Arrays.asList(tok.getMechanisms()));
                boolean foundKerberos = false;
                for ( ASN1ObjectIdentifier mech : Kerb5Context.SUPPORTED_MECHS ) {
                    foundKerberos |= mechs.contains(mech);

        return redirect(getClass());
    }

    // ===================================================================================
    //                                                                        Assist Logic
    //                                                                        ============
    public static OptionalEntity<ElevateWord> getEntity(final CreateForm form, final String username, final long currentTime) {

        return redirect(getClass());
    }

    // ===================================================================================
    //                                                                        Assist Logic
    //                                                                        ============
    protected void loadScheduledJob(final EditForm form, final ScheduledJob entity) {

   *
   * <pre>{@code
   * for (List<String> perm : orderedPermutations(asList("b", "c", "a"))) {
   *   println(perm);
   * }
   * // -> ["a", "b", "c"]
   * // -> ["a", "c", "b"]
   * // -> ["b", "a", "c"]
   * // -> ["b", "c", "a"]
   * // -> ["c", "a", "b"]
   * // -> ["c", "b", "a"]
   *
   * for (List<Integer> perm : orderedPermutations(asList(1, 2, 2, 1))) {
   *   println(perm);
   * }
   * // -> [1, 1, 2, 2]

bernetes.io/docs/reference/generated/kubernetes-api/v1.13/#tokenreview-v1-authentication-k8s-io) for the new tokens for improved scoping. Under audit logging, the new alpha-level "dynamic audit configuration" adds support for [dynamically registering webhooks to receive a stream of audit events](https://kubernetes.io/docs/tasks/debug/debug-cluster/audit/#webhook-backend). Finally, we've enhanced secrets protection by graduating [etcd encryption](https://kubernetes.io/docs/tasks/administer-cluster/encrypt-data/)...

Ale domyślnie wszystko **"po prostu działa"**.

### Walidacja

* Walidacja większości (lub wszystkich?) **typów danych** Pythona, w tym:
    * Obiektów JSON (`dict`).
    * Tablic JSON (`list`) ze zdefiniowanym typem elementów.
    * Pól tekstowych (`str`) z określeniem minimalnej i maksymalnej długości.
    * Liczb (`int`, `float`) z wartościami minimalnymi, maksymalnymi, itp.