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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
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docs/fr/docs/deployment/docker.md
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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" Существуют и другие инструменты управления зависимостями.
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docs/em/docs/deployment/docker.md
* 🚶 🏗 📁 (🌐❔ 👆 `Dockerfile` , ⚗ 👆 `app` 📁). * 🏗 👆 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
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docs/de/docs/deployment/docker.md
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 Es gibt andere Formate und Tools zum Definieren und Installieren von Paketabhängigkeiten.
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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 There are other formats and tools to define and install package dependencies. ### Create the **FastAPI** Code
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docs/pt/docs/deployment/docker.md
pydantic>=1.8.0,<2.0.0 uvicorn>=0.15.0,<0.16.0 ``` E você normalmente instalaria essas dependências de pacote com `pip`, por exemplo: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic uvicorn ``` </div> !!! info Há outros formatos e ferramentas para definir e instalar dependências de pacote.
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