/// info | Información

Ten en cuenta que los dataclasses no pueden hacer todo lo que los modelos de Pydantic pueden hacer.

Así que, podrías necesitar seguir usando modelos de Pydantic.

Pero si tienes un montón de dataclasses por ahí, este es un buen truco para usarlos para potenciar una API web usando FastAPI. 🤓

///

## Dataclasses en `response_model`

También puedes usar `dataclasses` en el parámetro `response_model`:

Der beste Ansatz bestand außerdem darin, bereits bestehende Standards zu nutzen.

Bevor ich also überhaupt angefangen habe, **FastAPI** zu schreiben, habe ich mehrere Monate damit verbracht, die Spezifikationen für OpenAPI, JSON Schema, OAuth2, usw. zu studieren und deren Beziehungen, Überschneidungen und Unterschiede zu verstehen.

## Design

                    wagon.removeTransferListener(sha1ChecksumObserver);
                }

                if (downloaded) {
                    // keep the checksum files from showing up on the download monitor...
                    if (downloadMonitor != null) {
                        wagon.removeTransferListener(downloadMonitor);
                    }

                    // try to verify the SHA-1 checksum for this file.

Events
======

Events allow you to capture metrics on your application’s HTTP calls. Use events to monitor:

 * The size and frequency of the HTTP calls your application makes. If you’re making too many calls, or your calls are too large, you should know about it!
 * The performance of these calls on the underlying network. If the network’s performance isn’t sufficient, you need to either improve the network or use less of it.

### EventListener

```html
<a href="/items/42">
```

## Templates e Arquivos Estáticos

Você também pode usar `url_for()` dentro do template e usá-lo, por examplo, com o `StaticFiles` que você montou com o `name="static"`.

```jinja hl_lines="4"
{!../../docs_src/templates/templates/item.html!}
```

Neste exemplo, ele seria vinculado a um arquivo CSS em `static/styles.css` com:

```CSS hl_lines="4"

 *
 * Typically instances of this class are created, connected and exercised automatically by the HTTP
 * client. Applications may use this class to monitor HTTP connections as members of a
 * [connection pool][ConnectionPool].
 *
 * Do not confuse this class with the misnamed `HttpURLConnection`, which isn't so much a connection
 * as a single request/response exchange.
 *

Es ist ein Projekt der Linux Foundation. Es stellt **kostenlose HTTPS-Zertifikate** automatisiert zur Verfügung. Diese Zertifikate nutzen standardmäßig die gesamte kryptografische Sicherheit und sind kurzlebig (circa 3 Monate), sodass die **Sicherheit tatsächlich besser ist**, aufgrund der kürzeren Lebensdauer.

lesotho","liberia","libya","liechtenstein","lithuania","luxembourg","macao","macedonia","madagascar","malawi","malaysia","maldives","mali","malta","marshall islands","martinique","mauritania","mauritius","mayotte","mexico","micronesia","moldova","monaco","mongolia","montenegro","montserrat","morocco","mozambique","myanmar","namibia","nauru","nepal","netherlands","new caledonia","new zealand","nicaragua","niger","nigeria","niue","norfolk island","northern mariana islands","norway","oman","pakista...

   */
  public void callAndAssertWaits(String methodName, Object conditionLikeObject) throws Exception {
    checkNotNull(methodName);
    checkNotNull(conditionLikeObject);
    // TODO: Restore the following line when Monitor.hasWaiters() no longer acquires the lock.
    // assertEquals(false, invokeMethod("hasWaiters", conditionLikeObject));
    sendRequest(methodName, conditionLikeObject);
    Thread.sleep(DUE_DILIGENCE_MILLIS);

crawler.ignore.content.exception=true
# HTTP status codes considered as failure URLs.
crawler.failure.url.status.codes=404
# Interval (seconds) for system monitor during crawling.
crawler.system.monitor.interval=60
# Whether to ignore idle threads in hot thread monitoring.
crawler.hotthread.ignore_idle_threads=true
# Interval for hot thread monitoring (e.g., 500ms).
crawler.hotthread.interval=500ms