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title Tutorial: Containerized Python web apps on Azure - Build and test locally
description Build and test a containerized Python web app locally.
ms.topic conceptual
ms.date 06/27/2022
ms.custom devx-track-python
ms.prod azure-python
author jess-johnson-msft
ms.author jejohn

Build and test a containerized Python web app locally

This article is part of a tutorial about containerizing and deploy a Python web app to Azure App Service. App Service enables you to run containerized web apps and deploy through continuous integration/continuous deployment (CI/CD) capabilities with Docker Hub, Azure Container Registry, and Visual Studio Team Services. In this part of the tutorial, you learn how to build and run the containerized Python web app locally.

After completing this part of the tutorial, you will

  • Understand a Dockerfile and how it it is used to build the container image.

  • Understand how to use tags as reference for Docker images and use the tag to reference the image.

1. Build a Docker image

VS Code

These instructions require Visual Studio Code, the Docker extension for VS Code, and Docker.

Instructions Screenshot
[!INCLUDE A screenshot showing how to open the Docker extension in Visual Studio Code] :::image type="content" source="./media/tutorial-container-web-app/visual-studio-code-open-docker-extension-240px.png" lightbox="./media/tutorial-container-web-app/visual-studio-code-open-docker-extension.png" alt-text="A screenshot showing how to open the Docker extension in Visual Studio Code." :::
[!INCLUDE A screenshot showing how to build the Docker image in Visual Studio Code] :::image type="content" source="./media/tutorial-container-web-app/visual-studio-code-docker-extension-build-image-240px.png" lightbox="./media/tutorial-container-web-app/visual-studio-code-docker-extension-build-image.png" alt-text="A screenshot showing how to build the Docker image in Visual Studio Code." :::
[!INCLUDE A screenshot showing how to confirm the built image in Visual Studio Code] :::image type="content" source="./media/tutorial-container-web-app/visual-studio-code-docker-extension-view-images-240px.png" lightbox="./media/tutorial-container-web-app/visual-studio-code-docker-extension-view-images.png" alt-text="A screenshot showing how to confirm the built image in Visual Studio Code." :::

Docker CLI

These instructions require Docker.

[!INCLUDE Build an image with the Docker CLI]

At this point, you have build an image locally. You can also see and work the image with Docker Desktop.

2. Run the image locally in a container

The sample app requires a MongoDB connection string, database name, and collection name. The MongoDB database must be accessible to you locally as well as in Azure. You can create an Azure Cosmos DB for MongoDB with theses steps for Azure portal, Azure CLI, PowerShell, or VS Code.

VS Code

Instructions Screenshot
[!INCLUDE A screenshot showing how to run a Docker container in Visual Studio Code]
[!INCLUDE A screenshot showing how to confirm the Docker container is running in Visual Studio Code]
[!INCLUDE A screenshot showing how to browse the endpoint of the container in Visual Studio Code]
[!INCLUDE A screenshot showing how to stop a container in Visual Studio Code]

Docker CLI

[!INCLUDE Run an image with the Docker CLI]

You can also start a container from an image and stop it with the Docker Desktop.