}

    return dateFormat.format(date)
  }

  /**
   * Returns a composite adapter for a struct or data class. This may be used for both SEQUENCE and
   * SET types.
   *
   * The fields are specified as a list of member adapters. When decoding, a value for each
   * non-optional member but be included in sequence.
   *
   * TODO: for sets, sort by tag when encoding.

		Async              bool   `json:"async"`
		MaxPubAcksInflight int    `json:"maxPubAcksInflight"`
	} `json:"streaming"`

	RootCAs *x509.CertPool `json:"-"`
}

// Validate NATSArgs fields
func (n NATSArgs) Validate() error {
	if !n.Enable {
		return nil
	}

	if n.Address.IsEmpty() {
		return errors.New("empty address")
	}

	if n.Subject == "" {

It can't handle nested models very well. So, if the JSON body in the request is a JSON object that has inner fields that in turn are nested JSON objects, it cannot be properly documented and validated.

/// check | Inspired **FastAPI** to

Use Python types to have great editor support.

							key="labels.index_label"
						/></label>
					<div class="col-lg-5 col-md-8 col-sm-7 col-6">
						<la:select property="fields.label" styleId="labelTypeSearchOption" multiple="true" styleClass="form-control">
							<c:forEach var="item" items="${labelTypeItems}">
								<la:option value="${f:u(item.value)}">${f:h(item.label)}</la:option>

            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())) {

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).

Você pode fazer isso usando o <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">`AfterValidator` do Pydantic</a> dentro de `Annotated`.

/// tip | Dica

O Pydantic também tem <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> e outros. 🤓

///

        int headerSize = transformHeader.size();

        // Then
        assertEquals(52, headerSize); // SMB2 Transform Header is 52 bytes
    }

    // Note: SMB2 Transform Header doesn't have a protocol ID field
    // The protocol ID is part of the encrypted SMB2 message, not the transform header

    @Test
    @DisplayName("Should set and get signature")
    void testSignature() {
        // Given

...必須のパラメータ `needy` を加えなかったので、以下の様なエラーが表示されます:

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

`needy` は必須のパラメータなので、URLにセットする必要があります:

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