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Order	Area	TOCTitle	ContentId	PageTitle	DateApproved	MetaDescription
5	containers	Debug	A1371726-5310-4923-B43B-240F36C6264E	Debug an app running in a Docker container	12/14/2023	Debug an app running in a Docker container, using Visual Studio Code.

Debug containerized apps

The Docker extension provides more support for debugging applications within Docker containers, such as scaffolding launch.json configurations for attaching a debugger to applications running within a container.

The Docker extension provides a docker debug configuration provider that manages how VS Code will launch an application and/or attach a debugger to the application in a running Docker container. This provider is configured via entries within launch.json, with configuration being specific to each application platform supported by the provider.

The Docker extension currently supports debugging Node.js, Python, and .NET applications within Docker containers.

Requirements

Scaffolding or pasting a launch configuration into launch.json is not sufficient to build and debug a Docker container. To successfully run a Docker launch configuration, you must have:

A Dockerfile.
docker-build and docker-run tasks in tasks.json.
A launch configuration that invokes these tasks.

We recommend using the Docker: Add Docker Files to Workspace... command to create these items, if none of these assets already exist. If you already have a functional Dockerfile, we recommend using the Docker: Initialize for Docker debugging command to scaffold a launch configuration and Docker-related tasks.

Node.js

More information about debugging Node.js applications within Docker containers can be found at Debug Node.js within a container.

Example launch.json configuration for debugging a Node.js application:

{
    "configurations": [
        {
            "name": "Docker Node.js Launch",
            "type": "docker",
            "request": "launch",
            "preLaunchTask": "docker-run: debug",
            "platform": "node"
        }
    ]
}

Python

More information about debugging Python applications within Docker containers can be found at Debug Python within a container.

Example launch.json configuration for debugging a Python application:

{
  "configurations": [
    {
      "name": "Docker: Python - Django",
      "type": "docker",
      "request": "launch",
      "preLaunchTask": "docker-run: debug",
      "python": {
        "pathMappings": [
          {
            "localRoot": "${workspaceFolder}",
            "remoteRoot": "/app"
          }
        ],
        "projectType": "django"
      }
    }
  ]
}

.NET

You can choose between two ways of building and debugging your project within Docker containers:

With .NET SDK: If you are familiar with MSBuild or want to containerize your project without a Dockerfile, this is the recommended choice.

Note: This option is only available for .NET SDK 7 and above and uses the dotnet publish command to build the image.
With a Dockerfile: If you prefer customizing your project with a Dockerfile, choose this option.

For more details about these two options, refer to Debug .NET within Docker containers.

Example launch.json configuration for debugging a .NET application using Dockerfile:

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Launch .NET Core in Docker",
            "type": "docker",
            "request": "launch",
            "preLaunchTask": "Run Docker Container",
            "netCore": {
                "appProject": "${workspaceFolder}/project.csproj"
            }
        }
    ]
}

Configuration reference

Property	Description
`containerName`	Name of the container used for debugging.
`dockerServerReadyAction`	Options for launching a browser to the Docker container. Similar to serverReadyAction, but replaces container ports with host ports.
`removeContainerAfterDebug`	Whether to remove the debug container after debugging.
`platform`	The target platform for the application. Can be `netCore` or `node`.
`netCore`	Options for debugging .NET projects in Docker.
`node`	Options for debugging Node.js projects in Docker.
`python`	Options for debugging Python projects in Docker.

dockerServerReadyAction object properties

Property	Description
`action`	The action to take when the pattern is found. Can be `debugWithChrome` or `openExternally`.
`containerName`	The container name to match the host port.
`pattern`	The regex pattern to look for in Debug console output.
`uriFormat`	The URI format to launch.
`webRoot`	The root folder from which web pages are served. Used only when `action` is set to `debugWithChrome`.

node object properties

These properties are the same as those described in the VS Code documentation for attaching a debugger to Node.js applications. All properties passed in the node object will be passed on to the Node.js debug adaptor, even if not specifically listed below.

Property	Description	Default
`port`	Optional. The debug port to use.	`9229`
`address`	Optional. TCP/IP address of the debug port.
`sourceMaps`	Optional. Enable source maps by setting this to `true`.
`outFiles`	Optional. Array of glob patterns for locating generated JavaScript files.
`autoAttachChildProcesses`	Optional. Track all subprocesses of debuggee and automatically attach to those that are launched in debug mode.
`timeout`	Optional. When restarting a session, give up after this number of milliseconds.
`stopOnEntry`	Optional. Break immediately when the program launches.
`localRoot`	Optional. VS Code's root directory.	The root workspace folder.
`remoteRoot`	Optional. Node's root directory within the Docker container.	`/usr/src/app`
`smartStep`	Optional. Try to automatically step over code that doesn't map to source files.
`skipFiles`	Optional. Automatically skip files covered by these glob patterns.
`trace`	Optional. Enable diagnostic output.

python object properties

Property	Description	Default
`host`	The host for remote debugging.
`port`	The port for remote debugging.	`5678`
`pathMappings`	Maps the project path between local machine and remote host.
`projectType`	The type of your Python project, `flask` for Flask projects, `django` for Django, `fastapi` for FastAPI, and general for others. The project type will be used to set the port and commands used for debugging.
`justMyCode`	Debug only user-written code.
`django`	Django debugging.	`false`
`jinja`	Jinja template debugging (such as Flask).	`false`

netCore object properties

Properties passed in the netCore object are generally passed on to the .NET debug adaptor, even if not specifically listed below. The complete list of debugger properties is in the OmniSharp VS Code extension documentation.

Property	Description
`appProject`	The .NET project (.csproj, .fsproj, etc.) to debug.

Next steps

Read on to learn more about:

7.8 KiB Исходник Ответственный История