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docs/zh/docs/deployment/docker.md
* 转到项目目录(在`Dockerfile`所在的位置,包含`app`目录)。 * 构建你的 FastAPI 镜像: <div class="termy"> ```console $ docker build -t myimage . ---> 100% ``` </div> !!! tip 注意最后的 `.`,它相当于`./`,它告诉 Docker 用于构建容器镜像的目录。 在本例中,它是相同的当前目录(`.`)。 ### 启动 Docker 容器 * 根据你的镜像运行容器: <div class="termy"> ```console $ docker run -d --name mycontainer -p 80:80 myimage ```
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docs/ko/docs/deployment/docker.md
* FastAPI 이미지를 빌드합니다: <div class="termy"> ```console $ docker build -t myimage . ---> 100% ``` </div> !!! tip "팁" 맨 끝에 있는 `.` 에 주목합시다. 이는 `./`와 동등하며, 도커에게 컨테이너 이미지를 빌드하기 위한 디렉터리를 알려줍니다. 이 경우에는 현재 디렉터리(`.`)와 같습니다. ### 도커 컨테이너 시작하기 * 여러분의 이미지에 기반하여 컨테이너를 실행합니다: <div class="termy"> ```console
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docs/fr/docs/deployment/docker.md
* Construisez votre image FastAPI : <div class="termy"> ```console $ docker build -t myimage . ---> 100% ``` </div> ## Démarrer le conteneur Docker * Exécutez un conteneur basé sur votre image : <div class="termy"> ```console $ docker run -d --name mycontainer -p 80:80 myimage ``` </div>
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docs/ru/docs/deployment/docker.md
``` fastapi>=0.68.0,<0.69.0 pydantic>=1.8.0,<2.0.0 uvicorn>=0.15.0,<0.16.0 ``` Устанавливать зависимости проще всего с помощью `pip`: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic uvicorn ``` </div> !!! info "Информация"
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docs/em/docs/deployment/docker.md
* 🏗 👆 FastAPI 🖼: <div class="termy"> ```console $ docker build -t myimage . ---> 100% ``` </div> !!! tip 👀 `.` 🔚, ⚫️ 🌓 `./`, ⚫️ 💬 ☁ 📁 ⚙️ 🏗 📦 🖼. 👉 💼, ⚫️ 🎏 ⏮️ 📁 (`.`). ### ▶️ ☁ 📦 * 🏃 📦 ⚓️ 🔛 👆 🖼: <div class="termy"> ```console $ docker run -d --name mycontainer -p 80:80 myimage ```
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docs/ja/docs/deployment/docker.md
* FastAPI イメージをビルドします: <div class="termy"> ```console $ docker build -t myimage . ---> 100% ``` </div> !!! tip 末尾の `.` に注目してほしいです。これは `./` と同じ意味です。 これはDockerにコンテナイメージのビルドに使用するディレクトリを指示します。 この場合、同じカレント・ディレクトリ(`.`)です。 ### Dockerコンテナの起動する * イメージに基づいてコンテナを実行します: <div class="termy"> ```console
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docs/pt/docs/deployment/docker.md
Então você pode querer ter **um único contêiner** com um **gerenciador de processos** iniciando **vários processos trabalhadores** dentro. #### Prometheus and Outros Motivos Você também pode ter **outros motivos** que tornariam mais fácil ter um **único contêiner** com **múltiplos processos** em vez de ter **múltiplos contêineres** com **um único processo** em cada um deles.
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docs/en/docs/deployment/docker.md
``` fastapi>=0.112.0,<0.113.0 pydantic>=2.7.0,<3.0.0 ``` And you would normally install those package dependencies with `pip`, for example: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic ``` </div> !!! info
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docs/de/docs/deployment/docker.md
``` fastapi>=0.68.0,<0.69.0 pydantic>=1.8.0,<2.0.0 uvicorn>=0.15.0,<0.16.0 ``` Und normalerweise würden Sie diese Paketabhängigkeiten mit `pip` installieren, zum Beispiel: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic uvicorn ``` </div> !!! info
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