*/
        public SearchConditionBuilder scroll() {
            isScroll = true;
            return this;
        }

        /**
         * Sets the track total hits configuration.
         *
         * @param trackTotalHits the track total hits setting
         * @return this builder for method chaining
         */
        public SearchConditionBuilder trackTotalHits(final String trackTotalHits) {

     *
     * @return whether to use strict resource lifecycle
     */
    boolean isStrictResourceLifecycle();

    /**
     * This is solely intended for debugging
     *
     * @return whether to track the locations from which resources were created
     */
    boolean isTraceResourceUsage();

    /**
     * Checks if compound requests are allowed for the specified command
     *

- 簡單且非常容易使用的 **<abbr title="也被稱為元件、資源、提供者、服務或是注入">依賴注入</abbr>** 系統。
- 安全性和身份驗證，包含提供支援 **OAuth2**、**JWT tokens** 和 **HTTP Basic** 驗證。
- 更進階 (但同樣簡單) 的宣告 **多層次的巢狀 JSON 格式** (感謝 Pydantic)。
- **GraphQL** 與 <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> 以及其他的相關函式庫進行整合。
- 更多其他的功能 (感謝 Starlette) 像是：
    - **WebSockets**
    - 於 HTTPX 和 `pytest` 的非常簡單測試
    - **CORS**
    - **Cookie Sessions**
    - ...以及更多

* Intégration de **GraphQL** avec <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> et d'autres bibliothèques.
* D'obtenir de nombreuses fonctionnalités supplémentaires (grâce à  Starlette) comme :
    * **WebSockets**

This combination of Flask, Flask-apispec with Marshmallow and Webargs was my favorite backend stack until building **FastAPI**.

Using it led to the creation of several Flask full-stack generators. These are the main stacks I (and several external teams) have been using up to now:

* <a href="https://github.com/tiangolo/full-stack" class="external-link" target="_blank">https://github.com/tiangolo/full-stack</a>

* İleri seviye fakat bir o kadarda basit olan **çok derin JSON modelleri** (Pydantic sayesinde).
* **GraphQL** entegrasyonu: <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> ve diğer kütüphaneleri kullanarak.
* Diğer ekstra özellikler (Starlette sayesinde):
    * **WebSocketler**
    * HTTPX ve `pytest` sayesinde aşırı kolay testler.

* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
* Many extra features (thanks to Starlette) as:
    * **WebSockets**
    * extremely easy tests based on HTTPX and `pytest`
    * **CORS**

-fastapi title: Explore How to Effectively Use JWT With FastAPI - author: Nicoló Lino author_link: https://www.nlino.com link: https://github.com/softwarebloat/python-tracing-demo title: Instrument FastAPI with OpenTelemetry tracing and visualize traces in Grafana Tempo. - author: Mikhail Rozhkov, Elena Samuylova author_link: https://www.linkedin.com/in/mnrozhkov/ link: https://www.evidentlyai.com/blog/fastapi-tutorial title: ML serving and monitoring with FastAPI and Evidently - author: Visual Studio...

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Son utilisation a conduit à la création de plusieurs générateurs Flask full-stack. Ce sont les principales stacks que
j'ai (ainsi que plusieurs équipes externes) utilisées jusqu'à présent :

- <a href="https://github.com/tiangolo/full-stack" class="external-link" target="_blank">https://github.com/tiangolo/full-stack</a>