Migrate existing applications to AzureĮxisting web applications can be redeployed to Azure as follows: Never rely on the exact placement of your app project folder within the container (for example, that it's placed under site/wwwroot). To access the build and deployment logs, see Access deployment logs.įor more information on how App Service runs and builds Python apps in Linux, see How Oryx detects and builds Python apps.Īlways use relative paths in all pre- and post-build scripts because the build container in which Oryx runs is different from the runtime container in which the app runs. All commands must use relative paths to the project root folder.įor other settings that customize build automation, see Oryx configuration. To run post-build commands, set the POST_BUILD_COMMAND setting to contain either a command, such as echo Post-build command, or a path to a script file relative to your project root, such as scripts/postbuild.sh. All commands must use relative paths to the project root folder. To run pre-build commands, set the PRE_BUILD_COMMAND setting to contain either a command, such as echo Pre-build command, or a path to a script file relative to your project root, such as scripts/prebuild.sh.

To disable running collectstatic when building Django apps, set the DISABLE_COLLECTSTATIC setting to true. (Again, the script can run other Python and Node.js scripts, pip and npm commands, and Node-based tools.)īy default, the PRE_BUILD_COMMAND, POST_BUILD_COMMAND, and DISABLE_COLLECTSTATIC settings are empty. Run custom post-build script if specified by the POST_BUILD_COMMAND setting. However, if the DISABLE_COLLECTSTATIC setting is true, this step is skipped. If manage.py is found in the root of the repository (indicating a Django app), run manage.py collectstatic. Otherwise, the build process reports the error: 'Could not find setup.py or requirements.txt Not running pip install.' The requirements.txt file must be present in the project's root folder. (The script can itself run other Python and Node.js scripts, pip and npm commands, and Node-based tools like yarn, for example, yarn install and yarn build.) Run a custom pre-build script if specified by the PRE_BUILD_COMMAND setting. For more information, see use a custom Docker image.Īpp Service's build system, called Oryx, performs the following steps when you deploy your app if the app setting SCM_DO_BUILD_DURING_DEPLOYMENT is set to 1: You can run an unsupported version of Python by building your own container image instead. Show all Python versions that are supported in Azure App Service with az webapp list-runtimes: az webapp list-runtimes -os linux | grep PYTHON Set the Python version with az webapp config set az webapp config set -resource-group -name -linux-fx-version 'PYTHON|3.11' Replace and with the names appropriate for your web app. Show the current Python version with az webapp config show: az webapp config show -resource-group -name -query linuxFxVersion Configure Python versionĪzure portal: use the General settings tab on the Configuration page as described on Configure general settings for Linux containers. For more information, see use a custom Docker image. You can however build your own custom Windows container image and run that in App Service. Python on Windows is no longer supported. Linux is the only operating system option for running Python apps in App Service.

Run commands locally by installing the latest version of the Azure CLI, then sign in to Azure using az login.You can use either the Azure portal or the Azure CLI for configuration:Īzure portal, use the app's Settings > Configuration page as described on Configure an App Service app in the Azure portal. If you've never used Azure App Service, first follow the Python quickstart and Python with PostgreSQL tutorial. This guide provides key concepts and instructions for Python developers who use a built-in Linux container in App Service. The App Service deployment engine automatically activates a virtual environment and runs pip install -r requirements.txt for you when you deploy a Git repository, or a zip package with build automation enabled. Python apps must be deployed with all the required pip modules. This article describes how Azure App Service runs Python apps, how you can migrate existing apps to Azure, and how you can customize the behavior of App Service when needed.

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