/// 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` { #dataclasses-in-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 { #design }

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

                    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.

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

### Go-Live

- [ ] Schedule maintenance window
- [ ] Final incremental data sync
- [ ] Switch DNS or endpoints to Fess
- [ ] Monitor logs for errors
- [ ] Monitor search performance metrics
- [ ] Have rollback plan ready

### Post-Migration

- [ ] Monitor search quality and relevance
- [ ] Tune ranking and boosting settings
- [ ] Set up regular crawl schedules
- [ ] Configure backup and disaster recovery

    }

    /**
     * Gets the network name.
     *
     * @return the network name
     */
    public String getNetName() {
        return netName;
    }

    /**
     * Sets the share name to monitor.
     *
     * @param shareName the share name
     */
    public void setShareName(String shareName) {
        this.shareName = shareName;
    }

    /**
     * Gets the share name.
     *

    <module>maven-artifact-ant</module>
    <module>maven-artifact-test</module>
    <module>maven-core</module>
    <module>maven-error-diagnostics</module>
    <module>maven-model</module>
    <module>maven-monitor</module>
    <module>maven-plugin-api</module>
    <module>maven-plugin-descriptor</module>
    <module>maven-plugin-parameter-documenter</module>
    <module>maven-plugin-registry</module>

Interceptors
============

Interceptors are a powerful mechanism that can monitor, rewrite, and retry calls. Here's a simple interceptor that logs the outgoing request and the incoming response.

```java
class LoggingInterceptor implements Interceptor {
  @Override public Response intercept(Interceptor.Chain chain) throws IOException {
    Request request = chain.request();

    long t1 = System.nanoTime();

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.