Par exemple, vous ne pouvez pas mettre un modèle Pydantic dans une `JSONResponse` sans d'abord le convertir en un `dict` avec tous les types de données (comme `datetime`, `UUID`, etc.) convertis en types compatibles avec JSON.

Pour ces cas, vous pouvez spécifier un appel à `jsonable_encoder` pour convertir vos données avant de les passer à une réponse :

import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.annotations.Nullable;

/**
 * Base interface for service requests in Maven. This interface defines the common contract
 * for all request types within the Maven service layer, providing access to session context
 * and request tracing capabilities.
 *
 * <p>Each request is associated with a {@link ProtoSession} that contains the configuration

Als je een opfriscursus van 2 minuten nodig hebt over het gebruik van Python types (zelfs als je FastAPI niet gebruikt), bekijk dan deze korte tutorial: [Python Types](python-types.md){.internal-link target=_blank}.

Je schrijft gewoon standaard Python met types:

```Python
from datetime import date

from pydantic import BaseModel

# Declareer een variabele als een str

        }
    }

    private static class TestFileTypeHelper extends FileTypeHelper {
        private String[] types = new String[0];

        @Override
        public String[] getTypes() {
            return types;
        }

        public void setTypes(String[] types) {
            this.types = types;
        }
    }

    private static class TestFessConfig extends FessConfig.SimpleImpl {

    /**
     * Enable or disable thumbnail generation for documents.
     * When enabled, thumbnails are generated for supported file types.
     */
    @Size(max = 10)
    public String thumbnail;

    /**
     * Types of crawling failures to ignore during crawling operations.
     * Specified failure types will not be logged or counted as errors.
     */
    @Size(max = 1000)
    public String ignoreFailureType;

    /**

/**
 * Utility class for calculating and verifying PAC (Privilege Attribute Certificate) message authentication codes.
 * This class provides methods for computing MACs using various Kerberos encryption types including
 * ARCFOUR-HMAC-MD5 and AES-based HMAC algorithms.
 */
public class PacMac {

    /**
     * Private constructor to prevent instantiation of utility class.
     */
    private PacMac() {

 * errors for using {@code get(Comparator.class)} as a {@code Comparator<Foo>}, for example.
 * Immutable empty instances are returned for collection types; {@code ""} for string; {@code 0} for
 * number types; reasonable default instance for other stateless types. For mutable types, a fresh
 * instance is created each time {@code get()} is called.
 *
 * @author Kevin Bourrillion
 * @author Ben Yu
 * @since 12.0
 */

Hug was one of the first frameworks to implement the declaration of API parameter types using Python type hints. This was a great idea that inspired other tools to do the same.

It used custom types in its declarations instead of standard Python types, but it was still a huge step forward.

It also was one of the first frameworks to generate a custom schema declaring the whole API in JSON.

# @format

name: Issue Workflow

on:
  issues:
    types:
      - opened

jobs:
  add-to-project:
    name: Add issue to project
    runs-on: ubuntu-latest
    steps:
      - uses: actions/add-to-project@v0.5.0
        with:
          project-url: https://github.com/orgs/miniohq/projects/2

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.survey

import okhttp3.survey.types.Client
import okhttp3.survey.types.SuiteId

/**
 * Organizes information on SSL cipher suite inclusion and precedence for this spreadsheet.
 * https://docs.google.com/spreadsheets/d/1C3FdZSlCBq_-qrVwG1KDIzNIB3Hyg_rKAcgmSzOsHyQ/edit#gid=0
 */