* a model source such as a string or input stream.
     *
     * @return an optional containing the source of the project, or empty if not specified
     */
    @Nonnull
    Optional<Source> getSource();

    /**
     * Determines whether a stub model should be allowed when the POM is missing or unreadable.

## 数据过滤 - 安全性 { #filter-data-security }

为确保不返回超过需要的数据，请阅读 [教程 - 响应模型 - 返回类型](../tutorial/response-model.md) 文档。

## 优化响应性能 - 响应模型 - 返回类型 { #optimize-response-performance-response-model-return-type }

在返回 JSON 数据时优化性能，请使用返回类型或响应模型，这样 Pydantic 会在 Rust 侧处理到 JSON 的序列化，而无需经过 Python。更多内容请阅读 [教程 - 响应模型 - 返回类型](../tutorial/response-model.md) 文档。

## 文档的标签 - OpenAPI { #documentation-tags-openapi }

    }

    //
    // Taken from LegacyRepositorySystem
    //

    public static org.apache.maven.model.Repository fromSettingsRepository(
            org.apache.maven.settings.Repository settingsRepository) {
        org.apache.maven.model.Repository modelRepository = new org.apache.maven.model.Repository();
        modelRepository.setId(settingsRepository.getId());

    /**
     * Creates a new model source backed by the specified URL.
     *
     * @param settingsUrl The settings URL, must not be {@code null}.
     */
    public UrlSettingsSource(URL settingsUrl) {
        super(settingsUrl);
    }

    /**
     * Gets the settings URL of this model source.
     *
     * @return The underlying settings URL, never {@code null}.

    class ResponseModelV1(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.get("/response-model", response_model=ResponseModelV1)
        def endpoint():  # pragma: no cover
            return {"name": "test"}


def test_raises_pydantic_v1_model_in_additional_responses_model() -> None:

	if err := DB.Create(&data).Error; err != nil {
		t.Errorf("Should got no error when creating data, but got %v", err)
	}

	if err := DB.Model(&data).Update("password", EncryptedData("xnewpass")).Error; err == nil {
		t.Errorf("Should failed to update data with invalid data")
	}

	if err := DB.Model(&data).Update("password", EncryptedData("newpass")).Error; err != nil {
		t.Errorf("Should got no error update data with valid data, but got %v", err)

import org.elasticsearch.gradle.internal.conventions.VersionPropertiesLoader
import org.apache.tools.ant.taskdefs.condition.Os
import org.gradle.plugins.ide.eclipse.model.AccessRule
import org.gradle.plugins.ide.eclipse.model.SourceFolder
import org.gradle.plugins.ide.eclipse.model.ProjectDependency

plugins {
  id 'java-gradle-plugin'
  id 'groovy-gradle-plugin'
  id 'groovy'
  id 'elasticsearch.build-tools'
  id 'elasticsearch.eclipse'

# JSON Uyumlu Encoder { #json-compatible-encoder }

Bazı durumlarda, bir veri tipini (örneğin bir Pydantic model) JSON ile uyumlu bir şeye (örneğin `dict`, `list` vb.) dönüştürmeniz gerekebilir.

Örneğin, bunu bir veritabanında saklamanız gerekiyorsa.

Bunun için **FastAPI**, `jsonable_encoder()` fonksiyonunu sağlar.

## `jsonable_encoder` Kullanımı { #using-the-jsonable-encoder }

from enum import Enum

from fastapi import FastAPI


class ModelName(str, Enum):
    alexnet = "alexnet"
    resnet = "resnet"
    lenet = "lenet"


app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":

반환하면 안 되는 데이터를 과도하게 반환하지 않도록 하려면, [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 읽어보세요.

## 응답 성능 최적화 - 응답 모델 - 반환 타입 { #optimize-response-performance-response-model-return-type }

JSON 데이터를 반환할 때 성능을 최적화하려면 반환 타입 또는 응답 모델을 사용하세요. 그러면 Pydantic이 Python을 거치지 않고 Rust 측에서 JSON 직렬화를 처리합니다. 자세한 내용은 [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 참고하세요.

## 문서화 태그 - OpenAPI { #documentation-tags-openapi }