vscode-dev-containers/build
Christof Marti 3b6ed5d8fe Revert temporary changes 2023-10-31 15:55:55 +01:00
..
.vscode
assets
patch
src
.eslintrc.js
README.md
config.json
vscdc
vscdc.cmd

README.md

Build and image generation for vscode-dev-containers

This folder contains scripts to build and push images into the Microsoft Container Registry (MCR) from this repository, generate or modify any associated content to use the built image, track dependencies, and create an npm package with the result that is shipped in the VS Code Remote - Containers and Codespaces extension.

Build CLI

The Node.js based build CLI (build/vsdc) has commands to:

  1. Build and push to a repository: build/vsdc push
  2. Build, push, and npm package assets that are modified as described above: build/vsdc package
  3. Generate cgmanifest.json and history markdown files: build/vsdc cg, build/vsdc info
  4. Update all script source URLs in Dockerfiles to a tag or branch: build/vsdc update-script-sources
  5. Overwrite scripts in the .devcontainer/library-scripts folder with the most recent copy from the scripts-library folder: build/vscdc copy-library-scripts

Run with the --help option to see inputs.

This CLI is used in the GitHub Actions workflows in this repository.

  • push-dev.yml: Pushes a "dev" tag for each image to be generated in this repository and fires repository dispatch to trigger cgmanifest.json generation, and attaches an npm package with the definitions to the actions run.
  • push-and-package.yml: Triggers when a release tag is pushed (vX.Y.Z). Builds and pushes a release version of the images, creates a release, and attaches an npm package with the definitions to the release. Note that this update the tag with source files that contain a SHA hash for script sources. You may need to run git fetch --tags --force locally after it runs.
  • push-again.yml: A manually triggered workflow that can be used to push an updated version of an image for an existing release. This should only be used in cases where the image push to the registry only partially succeeded (e.g. linux/amd64 was pushed, but a connection error happened when pushing linux/arm64 for the same image.)
  • smoke-*.yaml (using the smoke-test action in this repository) - Runs a build without pushing and executes test-project/test.sh (if present) inside the container to verify that there are no breaking changes to the image when the repository contents are updated.
  • version-history.yml: Listens for workflow dispatch events to trigger cgmanifest.json and history markdown generation.

Setting up a container to be built

Note: Only Microsoft VS Code team members can currently onboard an image to this process since it requires access the Microsoft Container Registry. See here for details.

However, if you have your own pre-built image or build process, you can simply reference it directly in you contributed container.

Image build/push to MCR is managed using config in definition-manifest.json files that are located in the container definition folder. The config lets you set dependencies between definitions and map actual image tags to multiple definitions. So, the steps to onboard an image are:

  1. Important: Update any ARG values in your Dockerfile to reflect what you want in the image. Use boolean ARGS with if statements to skip installing certain things in the image.

    Note: The build.args and build.dockerfile properties are intentionally ignored during image build so that you can vary image defaults and devcontainer.json defaults as appropriate. The only property considered is build.context since this may be required for the build to succeed.

  2. Create a base.Dockerfile and stub Dockerfile

  3. Set up any library scripts you want to use and a meta.env file

  4. Create a definition-manifest.json file

  5. Update the vscode config files for MCR as appropriate (MS internal only).

Testing the build

Once you have your build configuration setup, you can use the vscdc CLI to test that everything is configured as you would expect.

  1. First, build the image(s) using the CLI as follows:

    build/vscdc push --no-push --registry mcr.microsoft.com --registry-path vscode/devcontainers --release main <you-definition-id-here>
    
  2. Use the Docker CLI to verify all of the expected images and tags and have the right contents:

    docker run -it --init --privileged --rm mcr.microsoft.com/vscode/devcontainers/<expected-repository>:dev-<expected tag> bash
    
  3. Finally, test cgmanifest/markdown generation by running:

    build/vscdc cg --registry mcr.microsoft.com --registry-path vscode/devcontainers --release main <you-definition-id-here>
    

Once you're happy with the result, you can also verify that the devcontainer.json and the associated concent that will be generated for your definition is correct.

  1. Generate a .tgz with all of the definitions zipped inside of it.

    build/vscdc pack --prep-and-package-only --release main
    

    A new file called vscode-dev-containers-<version>-dev.tgz should be in the root of the repository once this is done.

  2. Unzip generated the tgz somewhere in your filesystem.

  3. Start VS Code and use Remote-Containers: Open Folder in Container... on the unzipped definition in the package/containers folder and verify everything starts correctly.

That's it!

Creating a base.Dockerfile and "stub" Dockerfile

By default, the Remote-Containers: Add Development Container Configuration File... and related properties will use a basic getting started stub / sample Dockerfile. However, in some cases you may want to include some special instructions for developers. In this case, you can add a custom stub Dockerfile by creating the following files:

  • base.Dockerfile: Dockerfile used to generate the image itself
  • Dockerfile: A stub Dockerfile that references the generated image and includes tips for using it.

You can then reference base.Dockerfile in devcontainer.json to make editing the file that is used to create the image easy.

When the definitions are packaged up for use, base.Dockerfile is excluded and the devcontainer.json file is automatically updated to Dockerfile. Any comment links are also modified appropriately.

If you're using the variants property in definition-manifest.json, you can set up the custom stub so that you can specify the variant from devcontainer.json by adding an argument called VARIANT right before the FROM statement that uses it.

In your Dockerfile:

ARG VARIANT=3
FROM mcr.microsoft.com/vscode/devcontainers/python:${VARIANT}

In devcontainer.json:

"build": {
    "args": {
        "VARIANT": "3.8"
    }
}

Using the script library

The /script-library folder in this repository contains a number of scripts to install tools or configure container contents. Of particular note is common-debain.sh that should generally be run in any definition that does not extend from an existing mcr.microsoft.com/vscode/devcontainers image.

Since Dockerfiles can only COPY files relative to the Dockerfile itself, we cannot easily copy contents from a folder several levels up. This step could be scripted, but this becomes cumbersome when creating the definitions to begin with. Instead, the scripts can be added into a .devcontainer/library-scripts folder in the definition. A GitHub Actions workflow will automatically update files with the same name in this folder whenever something in /script-library is updated.

This folder should be reserved for contents from the script-library folder for this reason.

Adding a meta.env file

The one addition to this folder that is not from the script-library folder is the .devcontainer/library-scripts/meta.env file. The build system will automatically update this file if found with some key information like the image version, repository, and history file. This will power a devcontainer-info command added by the common-debian.sh script.

To add one:

  1. Add a meta.env file into the library-scripts folder with one line in it:

    VERSION='dev'
    
  2. Next update your base.Dockerfile to copy it into the correct location. If you are running common-debian.sh, you can just copy it to the same folder as you copy the script before running it. For example:

    COPY library-scripts/*.sh library-scripts/meta.env /tmp/library-scripts/
    RUN bash /tmp/library-scripts/common-debian.sh
    

    Or if common-debian.sh was already run in your upstream image, you can copy it directly to the correct spot:

    COPY library-scripts/meta.env /usr/local/etc/vscode-dev-containers/
    

The build system will then automatically populate the file with the correct contents on build.

The definition-manifest.json file

Let's run through the definition-manifest.json file.

The build namespace

The build namespace includes properties that defines how the definition maps to image tags. For example:

"build": {
    "architectures": [ "linux/amd64", "linux/arm64" ],
    "rootDistro": "debian",
    "latest": true,
    "tags": [
        "base:${VERSION}-debian-9",
        "base:${VERSION}-stretch"
    ]
}

The build.architectures property specifies how many chip architectures should be built for the image. By default only 64-bit x86 (linux/amd64) is built. Note that there are a suprising number of problems when adding another architecture. For example, adding linux/arm64 does not work well with Debian 10/buster or Ubuntu 20.04/focal because of an OS issue with libssl, so each architecture needs to be tested carefully.

The build.rootDistro property can be debian, alpine, or redhat currently, but stick with Debian or Ubuntu for definitions wherever possible. Ubuntu-based containers should use debian.

The build.latest and build.tags properties affect how tags are applied. For example, here is how several dev container folders map:

debian => mcr.microsoft.com/vscode/devcontainers/base:debian
alpine => mcr.microsoft.com/vscode/devcontainers/base:alpine
ubnutu => mcr.microsoft.com/vscode/devcontainers/base:ubuntu

This results in just one "repository" in the registry much like you would see for other images in Docker Hub.

  • mcr.microsoft.com/vscode/devcontainers/base

The package version is then automatically added to these various tags in the ${VERSION} location for an item in the tags property array as a part of the release. For example, release 0.40.0 would result in:

  • 0.40.0-debian-9
  • 0.40-debian-9
  • 0-debian-9
  • debian-9 <= Equivalent of latest for debian-9 specifically
  • 0.40.0-stretch
  • 0.40-stretch
  • 0-stretch
  • stretch <= Equivalent of latest for stretch specifically

In this case, Debian is also the one that is used for latest for the base repository, so that tag gets applied too. If you ran only the Alpine or Ubuntu versions, the latest tag would not update.

NOTE: The version number used for this repository should be kept in sync with the VS Code Remote - Containers extension to make it easy for developers to find.

There's a special "dev" version that can be used to build main on CI - I ended up needing this to test and others would if they base an image off of one of the MCR images. e.g. dev-debian-9.

The build.parent property

The build.parent property that can be used to specify if the container image depends on an image created as a part of another dev container definition build. For example, the typescript-node definition uses the image from javascript-node and therefore includes the following:

"build" {
    "parent": "javascript-node"
}

The definitionVersion property

While in most cases it makes sense to version the contents of a definition with the repository, there may be scenarios where you want to be able to version independently. A good example of this is the codespaces-linux definition where upstream edits could cause breaking changes in this image. Rather than increasing the major version of the extension and all definitions whenever this happens, the definition has its own version number.

When this is necessary, the definitionVersion property in the definition-manifest.json file can be set.

"definitionVersion": "1.0.0"

The variants property

In many cases, you will only need to create one image per dev container definition. Even if there is only one or two versions of a given runtime available at a given time, it can be useful to simply have different definitions to aid discoverability.

In other cases, you may want to generate multiple images from the same definition but with one small change. This is where the variants property comes in. Consider this definition-manifest.json:

"variants": [ "3", "3.6", "3.7", "3.8" ],
"build": {
    "rootDistro": "debian",
    "tags": [
        "python:${VERSION}-${VARIANT}"
    ],
    "latest": "3"
}

The variant specified in the build.latest property is the one that will have the latest tag applied if applicable. Set this to false if you do not want any variant to get the latest tag.

Here is its corresponding Dockerfile:

ARG VARIANT=3
FROM python:${VARIANT}

This configuration would cause separate image variants, each with a different VARIANT build argument value passed in, that are then tagged as follows:

  • mcr.microsoft.com/vscode/devcontainers/python:3
  • mcr.microsoft.com/vscode/devcontainers/python:3.6
  • mcr.microsoft.com/vscode/devcontainers/python:3.7
  • mcr.microsoft.com/vscode/devcontainers/python:3.8

In addition mcr.microsoft.com/vscode/devcontainers/python would point to mcr.microsoft.com/vscode/devcontainers/python:3 since it is the first in the list.

The build.variantTags property

In some cases you may want to have different tags for each variant in the variants property. This is where variantTags come in. These tags add to the common list already set in tags.

For example:

"variants": ["buster", "bullseye",  "stretch"],
"build": {
    "latest": "bullseye",
    "tags": [
        "base:${VARIANT}"
    ],
    "variantTags": {
        "bullseye": [
            "base:debian-11",
            "base:debian11",
            "base:debian",
        ],
        "buster": [
            "base:debian-10",
            "base:debian10"
        ],
        "stretch": [
            "base:debian-9",
            "base:debian9"
        ]
    },
    //...
}

In this case, the image built for the bullseye variant will be tagged as follows:

  • mcr.microsoft.com/vscode/devcontaienrs/base:latest
  • mcr.microsoft.com/vscode/devcontaienrs/base:bullseye
  • mcr.microsoft.com/vscode/devcontaienrs/base:debian
  • mcr.microsoft.com/vscode/devcontaienrs/base:debian-11
  • mcr.microsoft.com/vscode/devcontaienrs/base:debian11

The build.variantBuildArgs property

In some cases, you may need to vary build arguments in the definition's base.Dockerfile by variant (beyond the VARIANT build arg itself). This can be done using the build.variantBuildArgs property. For example, consider the following:

"build": {
    "variantBuildArgs": {
        "17-bullseye": {
            "TARGET_JAVA_VERSION": "17",
            "BASE_IMAGE_VERSION_CODENAME": "bullseye"
        },
        "11-bullseye": {
            "TARGET_JAVA_VERSION": "11",
            "BASE_IMAGE_VERSION_CODENAME": "bullseye"
        },
        "17-buster": {
            "TARGET_JAVA_VERSION": "17",
            "BASE_IMAGE_VERSION_CODENAME": "buster"
        },
        "11-buster": {
            "JAVA_IMAGE_TAG": "11",
            "BASE_IMAGE_VERSION_CODENAME": "buster"
        }
    },
    //...
}

...and the related base.Dockerfile:

# This base.Dockerfile uses separate build arguments instead of VARIANT
ARG TARGET_JAVA_VERSION=11
ARG BASE_IMAGE_VERSION_CODENAME=bullseye
FROM openjdk:${TARGET_JAVA_VERSION}-jdk-${BASE_IMAGE_VERSION_CODENAME}

The value of these arguments is then passed in for a given variant.

Using build.architecture with variants

Because of problems with different OS versions, you may need to specify different architectures to build for different variants of the same definition. This can be done using the build.architecture property with an object that maps a variant to an array of architectures. For example, the actual debian definition contains the following:

"build": {
    "architectures": {
        "bullseye": ["linux/amd64", "linux/arm64"],
        "buster": ["linux/amd64"],
        "stretch": ["linux/amd64", "linux/arm64"]
    },
    //...
}

This configuration will build ARM64 and x86_64 for Debian 11/bullseye and Debian 9/stretch but not Debian 10/buster.

The dependencies namespace

Note: Whenever a new 3rd party OSS dependency is added to an image, be sure to also update NOTICES.txt in the root of this repository with its license terms. Packages installed from Linux distros directly via their package manager (not from 3rd party feeds) can be skipped as they are covered by the distribution image. Closed source dependencies are not allowed.

The dependencies namespace is used for dependency management and generation of history markdown files. It has no affect on the build process. Consider the Debian definition-manifest.json file.

"dependencies": {
    "image": "debian:${VARIANT}",
    "imageLink": "https://hub.docker.com/_/debian",
    "apt": [
        "apt-utils",
        //...
    ]
}

The image property is the actual base Docker image either in Docker Hub or MCR. imageLink is then the link to a description of the image.

Following this is a list of libraries installed in the image by its Dockerfile. The following package types are currently supported:

  • apt - Debian/Ubuntu packages (apt-get)
  • apk - Alpine Linux packages (apk)
  • git - Dependencies downloaded using Git
  • pip - Python pip packages
  • pipx - Python utilities installed using pipx
  • npm - npmjs.com packages installed using npm or yarn
  • go - Dependencies downloaded using go get/install
  • cargo - Rust dependencies downloaded using cargo
  • gem - Ruby dependencies downloaded using gem
  • other - Useful for other types of registrations that do not have a specific type that should be registered.
  • language - Used primarily to elevate certain dependencies as language runtimes in history markdown files.

dependencies.apt, dependencies.apk

These two properties are arrays of either strings or objects that reference apt or apk package names. Given most installed packages are there simply for visibility because they come with the distro, these are not tracked in cgmanifest.json by default. When something comes from a 3rd party repository, the object syntax can be used to set "cgIgnore": false. An annotation property can also be used to for a description that should appear in history markdown files.

For example:

"apt": [{
        "cgIgnore": false,
        "name": "azure-cli",
        "annotation": "Azure CLI"
    },
    "cmake",
    "cppcheck",
    "valgrind"
]

Needed version information will be automatically extracted.

dependencies.git

Some dependencies like nvm or Oh My Zsh! are installed using a shallow git clone. The git property accepts a mapping of a description to a the path where the clone occurred in the resulting image. For example:

"git": {
    "Oh My Zsh!": "/home/codespace/.oh-my-zsh",
    "nvm": "/home/codespace/.nvm"
}

The commit ID will be automatically extracted.

dependencies.pip, dependencies.pipx, dependencies.gem, dependencies.npm

Any installed PyPl packages can be tracked by adding them to an array for the pip property. Tools installed using pipx can similarly be referenced using the pipx property. For example:

"pipx": [
    "pylint",
    "virtualenv"
]

Ruby Gems and globally installed npm packages can be referenced the same way:

"gem": [
    "rake",
    "ruby-debug-ide",
    "debase",
    "jekyll"
],
"npm": [
    "eslint",
    "typescript"
]

dependencies.go, dependencies.cargo

Both Go modules/packages and Cargo packages can be referenced in a form similar to Gems, npm packages, or PyPl packages. However, there can sometimes be cases that require different commands to determine the version number that as actually installed. As a result, the go and cargo properties accept an object that maps the package to a command. A command of null causes the system to try to automatically detect the version.

For example:

"cargo": {
    "rls": null,
    "rustfmt": null,
    "rust-analysis": "rustc --version",
    "rust-src": "rustc --version",
    "clippy": "rustc --version"
},
"go": {
    "golang.org/x/tools/gopls": null
}

dependencies.other, dependencies.language

The other property is intended to handle scenarios that one of the other supported dependencies properties cannot. It is an object that maps dependency names to a versionCommand, install path, and a downloadUrl. The optional cgIgnore and markdownIgnore boolean properties can be used to specify whether the dependency should be excluded from tracking (cgIgnore) or excluded from history markdown output (markdownIgnore).

For example, if kubectl is installed by downloading the binary directly, the following would registry it and add it to the history markdown:

"other": {
    "kubectl": {
        "versionCommand": "kubectl version --client | grep -oP 'GitVersion\\s*:\\s*\\\"v\\K[0-9]+\\.[0-9]+\\.[0-9]+'",
        "path": "/usr/local/bin",
        "downloadUrl": "https://github.com/kubernetes/kubectl"
    }
}

The languages property is similar, but is primarily intended to provide an easy way to add things that are installed into the "Languages" section of the history markdown. If "cgIgnore": true, the version command can return a newline delimited list of versions if more than one is installed. Each line will then appear in the history markdown for the entry.

For example:

"languages": {
    "Java": {
        "cgIgnore": true,
        "versionCommand": "ls /opt/java | grep -oE '[0-9]+\\.[0-9]+\\.[0-9]+'",
        "path": "/opt/java/&lt;version&gt;"
    },
    ".NET": {
        "cgIgnore": true,
        "versionCommand": "ls /opt/dotnet | grep -oE '[0-9]+\\.[0-9]+\\.[0-9]+'",
        "path": "/home/codespaces/.dotnet<br />/opt/dotnet"
    },
    "Ruby": {
        "cgIgnore": true,
        "versionCommand": "ls /opt/ruby | grep -oE '[0-9]+\\.[0-9]+\\.[0-9]+'",
        "path": "/opt/ruby/&lt;version&gt;"
    }
}

Since the same dependencies can be in more than one definition, default settings named dependencies can be set in the otherDependencyDefaultSettings property in config.json. When present in this file, only the name of the dependency and any overrides need to be specified for in definition-manifest.json. For example, consider these examples that have default settings:

"other": {
    "kubectl": null,
    "Helm": null,
    "git": {
        "path": "/usr/local"
    }
},
"languages": {
    "PowerShell": {
        "cgIgnore": true
    },
    "GCC": {
        "cgIgnore": true
    },
    "Go": null
}

Build process details and background

Currently the vscode-dev-containers repo contains pure Dockerfiles that need to be built when used. While this works well from the perspective of providing samples, some of the images install a significant number of runtimes or tools which can take a long time to build.

We can resolve this by pre-building some of these images, but in-so-doing we want to make sure we:

  1. Ensure vscode-dev-containers continues to be a good source of samples
  2. Improve the performance using the most popular (or in some cases slowest to build) container images
  3. Make it easy for users to add additional software to the images
  4. Make it easy for contributors to build, customize, and contribute new definitions

We won't be able to build all images in the repository or publish them under a Microsoft registry, but we would want to allow contributors to build their own images for contributions if they wanted to do so by keeping the ability to use a stand alone Dockerfile, image reference, or docker-compose file like today.

In order to meet the above requirements, this first phase keeps the way the dev containers deployed as it is now - an npm package. Future phases could introduce a formal registry, but this is overkill current state.

Versioning

At this phase, versioning of the image can be tied to the release of the npm package. For example, as of this writing, the current version is 0.35.0. All images that are generated would then inherit this version.

We would follow semver rules for bumping up the repository name - any fix that needs to be deployed immediately would be "fix" level semver bump. When released as latest, the image would be tagged as is done in other Docker images. Using the 0.35.0 example, new images would be tagged as:

  • 0
  • 0.35
  • 0.35.0
  • latest

In the unlikely event a break fix needed to be deployed and not tagged latest, we would have a facility to tag as follows:

  • 0.35
  • 0.35.0

This has a few advantages:

  1. Tags are generated for each version of the repository that is cut. This allows us to refer directly to the exact version of the source code used to build the container image to avoid confusion. e.g. https://github.com/microsoft/vscode-dev-containers/tree/v0.35.0/containers/javascript-node-8
  2. Similarly, as containers are deprecated and removed from the repository, you can still refer back to the container source and README.
  3. Upstream changes that break existing images can be handled as needed.
  4. Developers can opt to use the image tag 0.35 to get the latest break fix version if desired or 0 to always get the latest non-breaking update.

When necessary, a specific version can also be specified for an individual image using a definitionVersion property, but this is generally the exception.

Deprecation of container definitions

The versioning scheme above allows us to version dev containers and reference them even when they are removed from main. To keep the number of containers in main reasonable, we would deprecate and remove containers under the following scenarios:

  1. It refers to a runtime that is no longer supported - e.g. Node.js 8 is out of support as of the end of 2019, so we would deprecate javascript-node-8. Until that point, we would have containers for node 8, 10, and 12 (which just went LTS).
  2. The container is not used enough to maintain and has broken.
  3. The container refers to a product that has been deprecated.
  4. The container was contributed by a 3rd party, has issues, and the 3rd party is not responsive.

Since the images would continue to exist after this point and the source code is available under the version label, we can safely remove the containers from main without impacting customers.

Release process and the contents of the npm package

When a release is cut, there are a few things that need to happen. One is obviously releasing the appropriate image. However, to continue to help customers understand how to customize their images, we would want to reference a user modifiable "stub" Dockerfile instead of an image directly. This also is important to help deal with shortcomings and workarounds that require something like specifying a build argument. For example:

FROM mcr.microsoft.com/vscode/devcontainer/javascript-node:0-10

# ** [Optional] Uncomment this section to install additional packages. **
#
# RUN apt-get update \
#    && export DEBIAN_FRONTEND=noninteractive \
#    && apt-get -y install --no-install-recommends <your-package-list-here>

This retains its value as a sample but minimizes the number of actual build steps. This template can evolve over time as new features are added Referencing The MAJOR version of the image in this Dockerfile allows us to push fixes or upstream updates that do not materially change the definition without developers having to change their projects.

Repository contents

Consequently, this user stub Dockerfile needs to be versioned with the devcontainer.json file and can technically version independently of the actual main Dockerfile and image. Given this tie, it makes sense to keep this file with devcontainer.json in the repository. The repository therefore would could contain:

📁 .devcontainer
     📄 base.Dockerfile
     📄 devcontainer.json
     📄 Dockerfile
📁 test-project
📄 definition-manifest.json
📄 README.md

The definition-manifest.json file dictates how the build process should behave as dscribed above. In this case, devcontainer.json points to base.Dockerfile, but this is the Dockerfile used to generate the actual image rather than the stub Dockerfile. The stub that references the image is in base.Dockerfile. To make things easy, we can also automatically generate this stub at release time if only a Dockerfile is present. If no base.Dockerfile is found, the build process falls back to using Dockerfile.

Testing, then, is as simple as it is now - open the folder in vscode-dev-containers in a container and edit / test as required. Anyone simply copying the folder contents then gets a fully working version of the container even if in-flight and there is no image for it yet.

In the vscode-dev-containers repo itself, the FROM statement in Dockerfile would always point to latest or dev since it what is in main may not have even been released yet. This would get dynamically updated as a part of the release process - which we will cover next.

FROM mcr.microsoft.com/vs/devcontainer/javascript-node:dev-10
Automated updates of other Dockerfiles

The process also automatically swaps out referenced MCR images for MAJOR versions of built images in any Dockerfile that is added to the package. This allows us to push break fix and or security patches as break fix releases and people will get them. The build supports an option to not update latest and MAJOR versions, so we can also rev old MAJOR versions if we have to, but normally we'd roll forward instead.

Common scripts

Another problem the build solves is mass updates - there's a set of things we want in every image and right now it requires ~54 changes to add things. With this new process, images use a tagged version of scripts in script-library. The build generates a SHA for script so they can be safely used in Dockerfiles that are not built into images while still allowing people to just grab .devcontainer from main and use it if they prefer.

When a release is cut, this SHA is generated and the source code for the related Git tag is updated to include source files with these values set. Consequently, you may need to run git fetch --tags --force to update a tag that already exists on your system.

Release process

When a release is cut, the contents of vscode-dev-containers repo are staged. The build process then does the following for the appropriate dev containers:

  1. Build an image using the base.Dockerfile and push it to a container registry with the appropriate version tags. If no base.Dockerfile is found, Dockerfile is used instead. If the variants property is set, one image is built per variant, with the variant value being passed in as the VARIANT build argument.

  2. After the image is built and pushed, base.Dockerfile is deleted from staging if present. If no base.Dockerrfile, a Dockerfile is replaced with stub is used based on the configured rootDistro in definition-manifest.json (Alpine vs Debian).

  3. Next, Dockerfile is updated to point to the correct MAJOR version and a link is added to the Dockerfile used to build the referenced image.

    # For information on the contents of the image referenced below, see the Dockerfile at
    # https://github.com/microsoft/vscode-dev-containers/tree/v0.35.0/containers/javascript-node-10/.devcontainer/base.Dockerfile
    FROM mcr.microsoft.com/vscode/devcontainer/javascript-node:0-10
    

    This also works when the VARIANT ARG is used. The MAJOR part of the release version is placed in front of the argument in the FROM statement:

    ARG VARIANT="3"
    FROM mcr.microsoft.com/vscode/devcontainer/python:0-${VARIANT}
    
  4. devcontainer.json is updated to point to Dockerfile instead of base.Dockerfile (if required) and a comment is added that points to the definition in this repository (along with its associated README for this specific version).

    // For format details, see https://aka.ms/vscode-remote/devcontainer.json or the definition README at
    // https://github.com/microsoft/vscode-dev-containers/tree/v0.35.0/containers/javascript-node-10
    {
        "name": "Node.js 10",
        "dockerFile": "Dockerfile",
        "extensions": [
            "dbaeumer.vscode-eslint"
        ]
    }
    

After everything builds successfully, the packaging process kicks off and performs the following:

  1. Runs through all Dockerfiles in the containers folder and makes sure any references to mcr.microsoft.com/vscode/devcontainers in other non-built dockerfiles reference the MAJOR version as described in step 3 above.

  2. Runs through all Dockerfiles and looks for common script references and updates the URL to the tagged version and adds the expected SHA as another arg. The result is that sections of the Dockerfile that look like this:

    ARG COMMON_SCRIPT_SOURCE="https://raw.githubusercontent.com/microsoft/vscode-dev-containers/main/script-library/common-debian.sh"
    ARG COMMON_SCRIPT_SHA="dev-mode"
    

    are transformed into this:

    ARG COMMON_SCRIPT_SOURCE="https://raw.githubusercontent.com/microsoft/vscode-dev-containers/v0.112.0/script-library/common-debian.sh"
    ARG COMMON_SCRIPT_SHA="28e3d552a08e0d82935ad7335837f354809bec9856a3e0c2855f17bfe3a19523"
    

    so that it sections later in the Dockerfile anchors to a specific version of the script and can verify the script SHA before running it:

    RUN curl -sSL  $COMMON_SCRIPT_SOURCE -o /tmp/common-setup.sh\
        && if [ "$COMMON_SCRIPT_SHA" != "dev-mode" ]; then echo "$COMMON_SCRIPT_SHA /tmp/common-setup.sh" | sha256sum -c - ; fi \
        && /bin/bash /tmp/common-setup.sh "$INSTALL_ZSH" "$USERNAME" "$USER_UID" "$USER_GID" \
        && rm /tmp/common-setup.sh
    
  3. These modified contents are then archived in an npm package exactly as they are today and shipped with the extension (and over time we could dynamically update this between extension releases).

📁 .devcontainer
     📄 devcontainer.json
     📄 Dockerfile

Linux ARM64 Specific Builds

The below provides a mechanism to build and test against targeted platforms (e.g. Linux ARM64). The following example uses the the dotnet container image for reference.

Build

Run the docker build command using buildx from the .devcontainer in the dotnet directory within the project repo (containers/dotnet/.devcontainer). buildx is a Docker CLI plugin that provides the ability to target multi-architectures (e.g. ARM64).

Note a few of the arguments:

  • --platform: specifies the architecture to target, in this case we will be targeting Linux ARM64
  • --build-arg: for this example, we will be targeting specific dotnet versions (e.g. 6.0, 5.0, and 3.1) and Linux versions and distros.
docker buildx build --build-arg VARIANT=6.0.100-bullseye-slim-arm64v8 --platform linux/arm64 -t dotnet-arm64  --load -f base.Dockerfile .

Once the build is complete, run the image using the below example. Note that the dotnet directory is mounted. The dotnet directory includes test scripts which will be used in the subsequent steps.

docker run -v $REPODIR/vscode-dev-containers/containers/dotnet/:/workspace --platform linux/arm64 -it dotnet-arm64 bash

Once in the running container, verify that the architecture is ARM64 by running the command:

 uname -m

For ARM64 on Linux, the architecture will show as aarch64.

Test

For Linux ARM64 and the Dotnet container requires that VS Code attaches to the running container instance. Using VS Code and the Remote-Containers extension, attach to the running instance of the image previously created, run the test script and they should all pass.

/workspace/test-project/test.sh

Reference