/// check

Dadurch erhalten Sie Editor-Unterstützung innerhalb Ihrer Funktion, mit Fehlerprüfungen, Codevervollständigung, usw.

///

## Daten-<abbr title="Auch bekannt als: Serialisierung, Parsen, Marshalling">Konversion</abbr>

Wenn Sie dieses Beispiel ausführen und Ihren Browser unter <a href="http://127.0.0.1:8000/items/3" class="external-link" target="_blank">http://127.0.0.1:8000/items/3</a> öffnen, sehen Sie als Response:

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

//// tab | Pydantic v2

     */
    public SuggestIndexer setAnalyzer(final SuggestAnalyzer analyzer) {
        this.analyzer = analyzer;
        return this;
    }

    /**
     * Sets the contents parser.
     * @param contentsParser The contents parser.
     * @return This SuggestIndexer instance.
     */
    public SuggestIndexer setContentsParser(final ContentsParser contentsParser) {
        this.contentsParser = contentsParser;

        return httpClient.execute(httpRequest, new BasicHttpContext(httpClientContext));
    }

    /**
     * Parses the last modified date from a string value.
     *
     * @param value The date string to parse
     * @return The parsed date, or null if parsing fails
     */
    protected Date parseLastModifiedDate(final String value) {

            throw new IORuntimeException(e);
        }
    }

    /**
     * Parses request parameters from a string.
     * @param params The parameter string.
     * @param paramList Additional parameters.
     * @param encoding The encoding.
     * @return The HttpEntity containing the parsed parameters.
     */

import java.util.LinkedHashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;

import javax.xml.parsers.DocumentBuilder;
import javax.xml.parsers.DocumentBuilderFactory;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;

            throw new DictionaryException("Failed to parse " + path, e);
        }
    }

    /**
     * Reloads the stemmer override dictionary from an input stream.
     *
     * @param updater An optional updater to apply changes.
     * @param in      The input stream to read the dictionary from.
     * @throws DictionaryException if the input stream cannot be parsed.
     */

Luego usamos el request directamente, y extraemos el cuerpo como `bytes`. Esto significa que FastAPI ni siquiera intentará parsear la carga útil del request como JSON.

Y luego en nuestro código, parseamos ese contenido YAML directamente, y nuevamente estamos usando el mismo modelo Pydantic para validar el contenido YAML:

//// tab | Pydantic v2

import java.util.concurrent.TimeUnit;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;

import javax.xml.XMLConstants;
import javax.xml.parsers.DocumentBuilder;
import javax.xml.parsers.DocumentBuilderFactory;

import org.apache.commons.lang3.StringUtils;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.io.CopyUtil;

        // SockAddr_Storage (128 bytes)
        encodeSockaddr(buffer, 24);

        return buffer;
    }

    /**
     * Parse network interface info from encoded bytes
     *
     * @param data encoded data
     * @param offset offset in data
     * @return parsed NetworkInterfaceInfo
     */
    public static NetworkInterfaceInfo decode(byte[] data, int offset) {