<img src="/img/tutorial/body/image01.png">

이를 필요로 하는 각각의 *경로 작동*내부의 API 문서에도 사용됩니다:

<img src="/img/tutorial/body/image02.png">

## 편집기 지원

편집기에서, 함수 내에서 타입 힌트와 완성을 어디서나 (만약 Pydantic model 대신에 `dict`을 받을 경우 나타나지 않을 수 있습니다) 받을 수 있습니다:

<img src="/img/tutorial/body/image03.png">

잘못된 타입 연산에 대한 에러 확인도 받을 수 있습니다:

<img src="/img/tutorial/body/image04.png">

단순한 우연이 아닙니다. 프레임워크 전체가 이러한 디자인을 중심으로 설계되었습니다.

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

import org.apache.maven.lifecycle.internal.ReactorContext;
import org.apache.maven.lifecycle.internal.Task;
import org.apache.maven.lifecycle.internal.TaskSegment;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.apache.maven.plugin.MavenPluginManager;
import org.apache.maven.plugin.MojoExecution;
import org.apache.maven.plugin.MojoNotFoundException;

inside and make sure it is serializable as JSON, using the same [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank} explained in the tutorial. This is what allows you to return **arbitrary objects**, for example database models.

But if you are certain that the content that you are returning is **serializable with JSON**, you can pass it directly to the response class and avoid the extra overhead that FastAPI would have by passing your return content through the...

    public static final String PURGE_SUGGEST_SEARCH_LOG_DAY_PROPERTY = "purge.suggest.searchlog.day";

    /** Property key for LTR model name configuration. */
    public static final String LTR_MODEL_NAME_PROPERTY = "ltr.model.name";

    /** Property key for LTR window size configuration. */
    public static final String LTR_WINDOW_SIZE_PROPERTY = "ltr.window.size";

import java.io.IOException;
import java.io.PrintWriter;
import java.io.StringReader;
import java.io.StringWriter;
import java.util.List;
import java.util.Map;

import org.apache.maven.impl.model.DefaultInterpolator;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;

                // drop through...
            } catch (final LinkageError e) {
                // drop through...
            }
        }

        try {
            // last chance - classic model
            return Class.forName(name);
        } catch (final Exception e) {
            throw new TypeNotPresentException(name, e);
        } catch (final LinkageError e) {

import org.apache.maven.execution.MavenExecutionRequest;
import org.apache.maven.impl.resolver.MavenSessionBuilderSupplier;
import org.apache.maven.internal.xml.XmlPlexusConfiguration;
import org.apache.maven.model.ModelBase;
import org.apache.maven.resolver.RepositorySystemSessionFactory;
import org.apache.maven.rtinfo.RuntimeInformation;
import org.apache.maven.settings.Mirror;
import org.apache.maven.settings.Proxy;

	if err := DB.Create(&user).Error; err != nil {
		t.Fatalf("errors happened when create: %v", err)
	}

	var result struct {
		Something string
		User
	}

	DB.Model(User{}).Preload("Account", clause.Eq{Column: "number", Value: user.Account.Number}).Select(
		"users.*, 'yo' as something").First(&result, "name = ?", user.Name)

	CheckUser(t, user, result.User)
}

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }