* body
* request body
* response body
* JSON body
* form body
* file body
* function body

* parameter
* body parameter
* path parameter
* query parameter
* cookie parameter
* header parameter
* form parameter
* function parameter

* event
* startup event
* server'ın startup'ı
* shutdown event
* lifespan event

* handler
* event handler

But this guide shows you, more or less, how they are intended to be used.

///

### Using Pydantic's `exclude_unset` parameter { #using-pydantics-exclude-unset-parameter }

If you want to receive partial updates, it's very useful to use the parameter `exclude_unset` in Pydantic's model's `.model_dump()`.

Like `item.model_dump(exclude_unset=True)`.

Oder die Abhängigkeit gibt keinen Wert zurück.

Aber Sie müssen sie trotzdem ausführen/auflösen.

In diesen Fällen können Sie, anstatt einen Parameter der *Pfadoperation-Funktion* mit `Depends` zu deklarieren, eine `list` von `dependencies` zum *Pfadoperation-Dekorator* hinzufügen.

# 路徑參數與數值驗證 { #path-parameters-and-numeric-validations }

就像使用 `Query` 為查詢參數宣告更多驗證與中繼資料一樣，你也可以用 `Path` 為路徑參數宣告相同類型的驗證與中繼資料。

## 匯入 `Path` { #import-path }

首先，從 `fastapi` 匯入 `Path`，並匯入 `Annotated`：

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}

/// info

FastAPI 在 0.95.0 版加入並開始推薦使用 `Annotated`。

如果你使用更舊的版本，嘗試使用 `Annotated` 會出錯。

      },
      "protocolScheme": {
        "type": "keyword"
      },
      "username": {
        "type": "keyword"
      },
      "password": {
        "type": "keyword"
      },
      "parameters": {
        "type": "keyword"
      },
      "fileConfigId": {
        "type": "keyword"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"

      },
      "protocolScheme": {
        "type": "keyword"
      },
      "username": {
        "type": "keyword"
      },
      "password": {
        "type": "keyword"
      },
      "parameters": {
        "type": "keyword"
      },
      "webConfigId": {
        "type": "keyword"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"

import org.codelibs.fess.app.web.api.admin.BaseSearchBody;

/**
 * Search request body for boost document administration.
 * Extends BaseSearchBody with boost document-specific search parameters.
 */
public class SearchBody extends BaseSearchBody {

    /** The URL expression pattern to search for in boost documents. */
    public String urlExpr;

 */
public interface DataStore {

    /**
     * Store the data.
     * @param config The data configuration.
     * @param callback The callback.
     * @param initParamMap The initial parameters.
     */
    void store(DataConfig config, IndexUpdateCallback callback, DataStoreParams initParamMap);

    /**
     * Stop the data store.
     */
    void stop();

# 쿠키 매개변수 { #cookie-parameters }

쿠키 매개변수를 `Query`와 `Path` 매개변수들과 같은 방식으로 정의할 수 있습니다.

## `Cookie` 임포트 { #import-cookie }

먼저 `Cookie`를 임포트합니다:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3] *}

## `Cookie` 매개변수 선언 { #declare-cookie-parameters }

그런 다음, `Path`와 `Query`처럼 동일한 구조를 사용하는 쿠키 매개변수를 선언합니다.

첫 번째 값은 기본값이며, 추가 검증이나 어노테이션 매개변수 모두 전달할 수 있습니다:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[9] *}

        IncEx | None,
        Doc(
            """
            Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[
        IncEx | None,
        Doc(
            """
            Pydantic's `exclude` parameter, passed to Pydantic models to set the
            fields to exclude.
            """