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  1. .github/actions/notify-translations/app/main.py

                logging.info(f"Already approved or closed PR #{pr.number}")
                if already_done_comment:
                    logging.info(
                        f"This PR #{pr.number} was already marked as done in comment: {already_done_comment.url}"
                    )
                elif already_notified_comment:
                    updated_comment = update_comment(
                        settings=settings,
    Python
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  2. docs/en/docs/tutorial/bigger-applications.md

    The end result is that the item paths are now:
    
    * `/items/`
    * `/items/{item_id}`
    
    ...as we intended.
    
    * They will be marked with a list of tags that contain a single string `"items"`.
        * These "tags" are especially useful for the automatic interactive documentation systems (using OpenAPI).
    * All of them will include the predefined `responses`.
    Plain Text
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  3. docs/zh/docs/deployment/docker.md

    
    
    ## 容器镜像
    
    Docker 一直是创建和管理**容器镜像**和**容器**的主要工具之一。
    
    还有一个公共 <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> ,其中包含预制的 **官方容器镜像**, 适用于许多工具、环境、数据库和应用程序。
    
    例如,有一个官方的 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python 镜像</a>。
    
    还有许多其他镜像用于不同的需要(例如数据库),例如:
    
    
    Plain Text
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  4. docs/ja/docs/deployment/docker.md

    ## コンテナ・イメージ
    
    Dockerは、**コンテナ・イメージ**と**コンテナ**を作成・管理するための主要なツールの1つです。
    
    そして、DockerにはDockerイメージ(コンテナ)を共有する<a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a>というものがあります。
    
    Docker Hubは 多くのツールや環境、データベース、アプリケーションに対応している予め作成された**公式のコンテナ・イメージ**をパブリックに提供しています。
    
    例えば、公式イメージの1つに<a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>があります。
    
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  5. docs/zh/docs/deployment/concepts.md

    * **云服务** 为您处理此问题
         * 云服务可能**为您处理复制**。 它可能会让您定义 **要运行的进程**,或要使用的 **容器映像**,在任何情况下,它很可能是 **单个 Uvicorn 进程**,并且云服务将负责复制它。
    
    
    
    !!! tip
    
         如果这些关于 **容器**、Docker 或 Kubernetes 的内容还没有多大意义,请不要担心。
    
         我将在以后的章节中向您详细介绍容器镜像、Docker、Kubernetes 等:[容器中的 FastAPI - Docker](docker.md){.internal-link target=_blank}。
    
    ## 启动之前的步骤
    
    在很多情况下,您希望在**启动**应用程序之前执行一些步骤。
    
    例如,您可能想要运行**数据库迁移**。
    
    但在大多数情况下,您只想执行这些步骤**一次**。
    
    Plain Text
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  6. docs/em/docs/deployment/docker.md

    &amp; 📤 📢 <a href="https://hub.docker.com/" class="external-link" target="_blank">☁ 🎡</a> ⏮️ 🏤-⚒ **🛂 📦 🖼** 📚 🧰, 🌐, 💽, &amp; 🈸.
    
    🖼, 📤 🛂 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">🐍 🖼</a>.
    
    &amp; 📤 📚 🎏 🖼 🎏 👜 💖 💽, 🖼:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">✳</a>
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  7. docs/en/docs/deployment/docker.md

    ## Container Images
    
    Docker has been one of the main tools to create and manage **container images** and **containers**.
    
    And there's a public <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> with pre-made **official container images** for many tools, environments, databases, and applications.
    
    Plain Text
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  8. docs/de/docs/deployment/docker.md

    Und es gibt viele andere Images für verschiedene Dinge wie Datenbanken, zum Beispiel für:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
    * <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
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  9. docs/pt/docs/deployment/docker.md

    Por exemplo, há uma <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Imagem Python</a> oficial.
    
    E existe muitas outras imagens para diferentes coisas, como bancos de dados, por exemplo:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
    * <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
    Plain Text
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  10. docs/ru/docs/project-generation.md

    ### Full Stack FastAPI PostgreSQL - Особенности
    
    * Полностью интегрирован с **Docker** (основан на Docker).
    * Развёртывается в режиме Docker Swarm.
    * Интегрирован с **Docker Compose** и оптимизирован для локальной разработки.
    * **Готовый к реальной работе** веб-сервер Python использующий Uvicorn и Gunicorn.
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