Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the required headers in the docs UI at `/docs`:

# `Response` class

You can declare a parameter in a *path operation function* or dependency to be of type `Response` and then you can set data for the response like headers or cookies.

You can also use it directly to create an instance of it and return it from your *path operations*.

Read more about it in the [FastAPI docs about returning a custom Response](https://fastapi.tiangolo.com/advanced/response-directly/#returning-a-custom-response)

     * using the provided lambda function to populate the favorite log data.
     *
     * @param userCode the unique code identifying the user
     * @param favoriteLogLambda a lambda function that accepts UserInfo and FavoriteLog to populate the favorite log data
     * @return true if the URL was successfully added to favorites, false if the user was not found
     */

    //                                                                           Attribute
    //                                                                           =========
    /** Service for managing job log data */
    @Resource
    private JobLogService jobLogService;

    // ===================================================================================

     * Constructs a FacetResponse from OpenSearch aggregations.
     * Processes both field facets and query facets from the aggregation results.
     *
     * @param aggregations the OpenSearch aggregations containing facet data, may be null
     */
    public FacetResponse(final Aggregations aggregations) {
        if (aggregations != null) {
            aggregations.forEach(aggregation -> {

# 일반 - 사용 방법 - 레시피 { #general-how-to-recipes }

일반적이거나 자주 나오는 질문에 대해, 문서의 다른 위치로 안내하는 몇 가지 포인터를 소개합니다.

## 데이터 필터링 - 보안 { #filter-data-security }

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 }

 * must be identical across languages. Also beware that {@link Charset} definitions may occasionally
 * change between Java releases.
 *
 * <p><b>Warning:</b> Chunks of data that are put into the {@link Hasher} are not delimited. The
 * resulting {@link HashCode} is dependent only on the bytes inserted, and the order in which they

		return errInvalidArgument
	}
	return nil
}

// BatchJobReplicateTarget describes target element of the replication job that receives
// the filtered data from source
type BatchJobReplicateTarget struct {
	Type     BatchJobReplicateResourceType `yaml:"type" json:"type"`
	Bucket   string                        `yaml:"bucket" json:"bucket"`

/target/
/work/
/bin/
/mydbflute/
/solr/data/
/src/main/webapp/WEB-INF/classes/
/src/main/webapp/WEB-INF/lib/
/src/main/webapp/WEB-INF/site/
/src/main/webapp/WEB-INF/plugin/*
!/src/main/webapp/WEB-INF/plugin/.keep
/src/main/webapp/WEB-INF/env/crawler/lib/
/src/main/webapp/WEB-INF/env/suggest/lib/
/src/main/webapp/WEB-INF/env/thumbnail/lib/
/src/main/webapp/WEB-INF/thumbnails/
/src/main/webapp/jar/
/dbflute_fess/extlib/*

3. If the daemon is not able to run the request, for example it is already running a request or is shutting down, it rejects the request. The client starts again.
4. The daemon runs the request, sending back data such as logging output or tooling API events and intermediate models while doing so.