Це можна досягти за допомогою <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">Pydantic's `AfterValidator`</a> в середині `Annotated`.

/// tip | Підказка

Pydantic також має <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> та інші. 🤓

///

   * without it because it is an immutable object in a volatile field. This is desirable so that
   * methods like {@link #state}, {@link #failureCause} and notably {@link #toString} can be run
   * without grabbing the lock.
   *
   * <p>To update this field correctly the lock must be held to guarantee that the state is
   * consistent.
   */

            return true;
        }
        if (sitemapUrl == null) {
            return false;
        }
        // Validate required fields
        if (!isValidUrl(sitemapUrl.getLoc())) {
            return false;
        }
        // Validate optional fields
        if (!isValidPriority(sitemapUrl.getPriority())) {
            return false;
        }
        if (!isValidChangefreq(sitemapUrl.getChangefreq())) {

            byte[] buffer = new byte[10];
            int bufferIndex = 2;
            SMBUtil.writeInt2(4, buffer, bufferIndex); // Write structure size = 4
            SMBUtil.writeInt2(0, buffer, bufferIndex + 2); // Reserved field

            // When
            int bytesRead = response.readBytesWireFormat(buffer, bufferIndex);

            // Then
            assertEquals(4, bytesRead);
        }

        @Test

...필수 매개변수 `needy`를 넣지 않았기 때문에 아래와 같은 오류를 보게 됩니다:

```JSON
{
    "detail": [
        {
            "loc": [
                "query",
                "needy"
            ],
            "msg": "field required",
            "type": "value_error.missing"
        }
    ]
}
```

`needy`는 필수 매개변수이므로 URL에 반드시 설정해줘야 합니다:

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

```

Notice how no connect events are fired for the second call. It reused the connection from the first request for dramatically better performance.

### EventListener.Factory

    .setRoles(new String[]{"user"})         // filter by roles  
    .setLanguages(new String[]{"en", "ja"}) // language preference
    .setFields(new String[]{"title"})       // search specific fields
    .execute()
    .getResponse();
```

## Project Structure

```
src/
├── main/java/org/codelibs/fess/suggest/
│   ├── Suggester.java              # Main suggester API

        assertEquals((byte) 0xFF, buf[1]);
        assertNull(block.andx, "andx should be cleared when batching prevented");
    }

    @Test
    @DisplayName("writeAndXWireFormat chains non-AndX SMB and propagates header fields")
    void testWriteAndXWireFormatChainsPlainSMB() {
        DummyPlainSMB next = new DummyPlainSMB();
        DummyAndXBlock block = new DummyAndXBlock(next);

Sie können dies mit <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">Pydantic's `AfterValidator`</a> innerhalb von `Annotated` erreichen.

/// tip | Tipp

Pydantic unterstützt auch <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> und andere. 🤓

///

* `table=True` sagt SQLModel, dass dies ein *Tabellenmodell* ist, es soll eine **Tabelle** in der SQL-Datenbank darstellen, es ist nicht nur ein *Datenmodell* (wie es jede andere reguläre Pydantic-Klasse wäre).

* `Field(primary_key=True)` sagt SQLModel, dass die `id` der **Primärschlüssel** in der SQL-Datenbank ist (Sie können mehr über SQL-Primärschlüssel in der SQLModel-Dokumentation erfahren).