aws-delivlib
aws-delivlib is a fabulous library for defining continuous pipelines for
building, testing and publishing code libraries through AWS CodeBuild and AWS
CodePipeline.
aws-delivlib is used by the AWS Cloud Development Kit and was
designed to support simultaneous delivery of the AWS CDK in multiple programming languages
packaged via jsii.
Pipeline Structure
A delivlib pipeline consists of the following sequential stages. Each stage will
execute all tasks concurrently:
+-----------+ +-----------+ +-----------+ +----------------+
| Source +---->+ Build +---->+ Test +---->+ Publish |
+-----------+ +-----------+ +-----+-----+ +-------+--------+
| |
v v
+-----+-----+ +-------+-------+
| Test1 | | npm |
+-----------+ +---------------+
| Test2 | | NuGet |
+-----------+ +---------------+
| Test3 | | Maven Central |
+-----------+ +---------------+
| ... | | GitHub Pages |
+-----------+ +---------------+
|GitHub Releases|
+---------------+
The following sections describe each stage and the configuration options
available:
- Source
- Build
- Tests
- Publish
Installation
To install, use npm / yarn:
$ npm i aws-delivlib
or:
$ yarn add aws-delivlib
and import the library to your project:
import delivlib = require('aws-delivlib');
The next step is to add a pipeline to your app. When you define a pipeline, the
minimum requirement is to specify the source repository. All other settings are
optional.
const pipeline = new delivlib.Pipeline(this, 'MyPipeline', {
});
The following sections will describe the various options available in your
pipeline.
Source
The only required option when defining a pipeline is to specify a source
repository for your project.
repo
: Source Repository (required)
The repo
option specifies your source code repository for your project. You
could use either CodeCommit or GitHub.
CodeCommit
To use an existing repository:
import codecommit = require('@aws-cdk/aws-codecommit');
const myRepo = ccommit.Repository.import(this, 'TestRepo', {
repositoryName: 'delivlib-test-repo'
});
const myRepo = new ccomit.Repository(this, 'TestRepo');
new delivlib.Pipeline(this, 'MyPipeline', {
repo: new delivlib.CodeCommitRepo(myRepo),
});
GitHub
To connect to GitHub, you will need to store a Personal GitHub Access
Token as an SSM Parameter and provide the
name of the SSM parameter.
new delivlib.Pipeline(this, 'MyPipeline', {
repo: new delivlib.GitHubRepo('<github-token-ssm-parameter-name>', 'myaccount/myrepo'),
})
branch
: Source Control Branch (optional)
The branch
option can be used to specify the git branch to build from. The
default is master
.
new delivlib.Pipeline(this, 'MyPipeline', {
repo:
branch: 'dev',
})
Build
The second stage of a pipeline is to build your code. The following options
allow you to do customize your build environment and scripts:
buildSpec
: Build Script (optional)
The default behavior will use the buildspec.yaml
file from the root of your
source repository to determine the build steps.
See the the buildspec reference documentation
in the CodeBuild User Guide.
Note that if you don't have an "artifacts" section in your buildspec, you won't
be able to run any tests against the build outputs or publish them to package
managers.
If you wish, you can use the buildSpec
option, in which case CodeBuild will not
use the checked-in buildspec.yaml
:
new delivlib.Pipeline(this, 'MyPipeline', {
buildSpec: {
version: '0.2',
phases: {
build: {
commands: [
'echo "Hello, world!"'
]
}
},
artifacts: {
files: [ '**/*' ],
'base-directory': 'dist'
}
}
});
buildImage
: Build container image (optional)
The Docker image to use for the build container.
Default: the default image (if none is specified) is a custom Docker image which
is bundled together with the delivlib library and called "superchain". It is an
environment that supports building libraries that target multiple programming
languages.
The default image is a union of the following official AWS CodeBuild images:
You can use the AWS CodeBuild API to specify any Linux/Windows Docker image for
your build. Here are some examples:
codebuild.LinuxBuildImage.fromDockerHub('golang:1.11')
- use an image from Docker Hubcodebuild.LinuxBuildImage.UBUNTU_14_04_OPEN_JDK_9
- OpenJDK 9 available from AWS CodeBuildcodebuild.WindowsBuildImage.WIN_SERVER_CORE_2016_BASE
- Windows Server Core 2016 available from AWS CodeBuildcodebuild.LinuxBuildImage.fromEcrRepository(myRepo)
- use an image from an ECR repository
env
: Build environment variables (optional)
Allows adding environment variables to the build environment:
new delivlib.Pipeline(this, 'MyPipeline', {
env: {
FOO: 'bar'
}
});
Other Build Options
computeType
: size of the AWS CodeBuild compute capacity (default: SMALL)privileged
: run in privileged mode (default: false
)
Tests
The third stage of a delivlib pipeline is to execute tests. Tests are executed
in parallel only after a successful build and can access build artifacts as
defined in your buildspec.yaml
.
The pipeline.addTest
method can be used to add tests to your pipeline. Test
scripts are packaged as part of your delivlib CDK app.
delivlib.addTest('MyTest', {
platform: TestablePlatform.LinuxUbuntu,
testDirectory: 'path/to/local/directory/with/tests'
});
testDirectory
refers to a directory on the local file system which must
contain an entry-point file (either test.ps1
or test.sh
). Preferably make
this path relative to the current file using path.join(__dirname, ...)
.
The test container will be populated the build output artifacts as well as all
the files from the test directory.
Then, the entry-point will be executed. If it fails, the test failed.
Publish
The last step of the pipeline is to publish your artifacts to one or more
package managers. Delivlib is shipped with a bunch of built-in publishing
tasks, but you could add your own if you like.
To add a publishing target to your pipeline, you can either use the
pipeline.addPublish(publisher)
method or one of the built-in
pipeline.publishToXxx
methods. The first option is useful if you wish to
define your own publisher, which is class the implements the
delivlib.IPublisher
interface.
Built-in publishers are designed to be idempotent: if the artifacts version is
already published to the package manager, the publisher will succeed. This
means that in order to publish a new version, all you need to do is bump the
version of your package artifact (e.g. change package.json
) and the publisher
will kick in.
You can use the dryRun: true
option when creating a publisher to tell the
publisher to do as much as it can without actually making the package publicly
available. This is useful for testing.
The following sections describe how to use each one of the built-in publishers.
npm.js
The method pipeline.publishToNpm
will add a publisher to your pipeline which
can publish JavaScript modules to npmjs.
The publisher will search for js/*.tgz
in your build artifacts and will npm publish
each of them.
To create npm tarballs, you can use npm pack
as part of your build and emit
them to the js/
directory in your build artifacts. The version of the module
is deduced from the name of the tarball.
To use this publisher, you will first need to store an npm.js publishing
token in AWS
Secrets Manager and supply the secret ARN when you add the publisher.
pipeline.publishToNpm({
npmTokenSecret: { secretArn: 'my-npm-token-secret-arn' }
});
NuGet
This publisher can publish .NET NuGet packages to nuget.org.
The publisher will search dotnet/**/*.nuget
in your build artifacts and will
publish each package to NuGet. To create .nupkg files, see Creating NuGet
Packages.
Make sure you output the artifacts under the dotnet/
directory.
To use this publisher, you will first need to store a NuGet API
Key with "Push" permissions in AWS
Secrets Manager and supply the secret ARN when you add the publisher.
Use pipeline.publishToNuGet
will add a publisher to your pipeline:
pipeline.publishToNuGet({
nugetApiKeySecret: { secretArn: 'my-nuget-token-secret-arn' }
});
Assembly Signature
Important: Limitations in the mono
tools restrict the hash algorithms that
can be used in the signature to SHA-1
. This limitation will be removed in the
future.
You can enable digital signatures for the .dll
files enclosed in your NuGet
packages. In order to do so, you need to procure a Code-Signing Certificate
(also known as a Software Publisher Certificate, or SPC). If you don't have one
yet, you can refer to
Obtaining a new Code Signing Certificate
for a way to create a new certificate entirely in the Cloud.
In order to enable code signature, change the way the NuGet publisher is added
by adding an ICodeSigningCertificate
for the codeSign
key (it could be a
CodeSigningCertificate
construct, or you may bring your own implementation if
you wish to use a pre-existing certificate):
pipeline.publishToNuGet({
nugetApiKeySecret: { secretArn: 'my-nuget-token-secret-arn' },
codeSign: codeSigningCertificate
});
Obtaining a new Code Signing Certificate
If you want to create a new certificate, the CodeSigningCertificate
construct
will provision a new RSA Private Key and emit a Certificate Signing Request in
an Output
so you can pass it to your Certificate Authority (CA) of choice:
- Add a
CodeSigningCertificate
to your stack:
new delivlib.CodeSigningCertificate(stack, 'CodeSigningCertificate', {
distinguishedName: {
commonName: '<a name your customers would recognize>',
emailAddress: '<your@email.address>',
country: '<two-letter ISO country code>',
stateOrProvince: '<state or province>',
locality: '<city>',
organizationName: '<name of your company or organization>',
organizationalUnitName: '<name of your department within the origanization>',
}
});
- Deploy the stack:
$ cdk deploy $stack_name
...
Outputs:
$stack_name.CodeSigningCertificateXXXXXX = -----BEGIN CERTIFICATE REQUEST-----
...
-----END CERTIFICATE REQUEST-----
- Forward the Certificate Signing Request (the value of the stack output that
starts with
-----BEGIN CERTIFICATE REQUEST-----
and ends with
-----END CERTIFICATE REQUEST-----
) to a Certificate Authority, so they can
provde you with a signed certificate. - Update your stack with the signed certificate obtained from the CA. The below
example assumes you palced the PEM-encoded certificate in a file named
certificate.pem
that is in the same folder as file that uses the code:
import fs = require('fs');
import path = require('path');
new delivlib.CodeSigningCertificate(stack, 'CodeSigningCertificate', {
distinguishedName: {
commonName: '<a name your customers would recognize>',
emailAddress: '<your@email.address>',
country: '<two-letter ISO country code>',
stateOrProvince: '<state or province>',
locality: '<city>',
organizationName: '<name of your company or organization>',
organizationalUnitName: '<name of your department within the origanization>',
},
pemCertificate: fs.readFileSync(path.join(__dirname, 'certificate.pem'))
});
- Redeploy your stack, so the self-signed certificate is replaced with the one
received from your CA:
$ cdk deploy $stackName
Maven Central
This publisher can publish Java packages to Maven
Central.
This publisher expects to find a local maven repository under the java/
directory in your build output artifacts. You can create one using the
altDeploymentRepository
option for mvn deploy
(this assumes dist
if the
root of your artifacts tree):
$ mvn deploy -D altDeploymentRepository=local::default::file://${PWD}/dist/java
Use pipeline.publishToMaven
to add this publisher to your pipeline:
pipeline.publishToMaven({
mavenLoginSecret: { secretArn: 'my-maven-credentials-secret-arn' },
signingKey: mavenSigningKey,
stagingProfileId: '11a33451234521'
});
In order to configure the Maven publisher, you will need at least three pieces
of information:
- Maven Central credentials (
mavenLoginSecret
) stored in AWS Secrets Manager - GPG signing key (
signingKey
) to sign your Maven packages - Staging profile ID (
stagingProfileId
) assigned to your account in Maven Central.
The following sections will describe how to obtain this information.
GPG Signing Key
Since Maven Central requires that you sign your packages you will need to
create a GPG key pair and publish it's public key to a well-known server:
This library includes a GPG key construct:
const mavenSigningKey = new delivlib.SigningKey(this, 'MavenCodeSign', {
email: 'your-email@domain.com',
identity: 'your-identity',
secretName: 'maven-code-sign'
});
After you've deployed your stack once, you can go to the SSM Parameter Store
console and copy the public key from the new parameter created by your stack
under the specified secret name. Then, you should paste this key to any of the
supported key servers (recommended: https://keyserver.ubuntu.com).
Sonatype Credentials
In order to publish to Maven Central, you'll need to follow the instructions in
Maven Central's OSSRH Guide
and create a Sonatype account and project via JIRA:
- Create JIRA
account
- Create new project
ticket
- Once you have the user name and password of your Sonatype account, create an
AWS Secrets Manager secret with a
username
and password
key/value fields
that correspond to your account's credentials.
Staging Profile ID
After you've obtained a Sonatype account and Maven Central project:
- Log into https://oss.sonatype.org
- Select "Staging Profiles" from the side bar (under "Build Promotion")
- Click on the "Releases" staging profile that you registered
- The URL of the page should change and include your profile ID. For example:
https://oss.sonatype.org/#stagingProfiles;11a33451234521
This is the value you should assign to the stagingProfileId
option.
GitHub Releases
This publisher can package all your build artifacts, sign them and publish them
to the "Releases" section of a GitHub project.
This publisher relies on two files to produce the release:
build.json
a manifest that contains metadata about the release.CHANGELOG.md
(optional) the changelog of your project, from which the
release notes are extracted. If not provided, no release notes are added
to the release.
The file build.json
is read from the root of your artifact tree. It should
include the following fields:
{
"name": "<project name>",
"version": "<project version>",
"commit": "<sha of commit>"
}
This publisher does the following:
- Create a zip archive that contains the entire build artifacts tree under the
name
${name}-${version}.zip
.
- Sign the archive using a GPG key and store it under
${name}-${version}.zip.sig
- Check if there is already a git tag with
v${version}
in the GitHub
repository. If there is, bail out successfully.
- If there's a
CHANGELOG.md
file, and extract the release notes for
${version}
(uses changelog-parser) - Create a GitHub release named
v${version}
, tag the specified ${commit}
with the release notes from the changelog. - Attach the zip archive and signature to the release.
To add a GitHub release publisher to your pipeline, use the
pipeline.publishToGitHub
method:
pipeline.publishToGitHub({
githubRepo: targetRepository,
signingKey: releaseSigningKey
});
The publisher requires the following information:
- The target GitHub project (
githubRepo
): see instructions on how to connect
to a GitHub repository. It doesn't have to be the same repository as the source repository,
but it can be. - A GPG signing key (
signingKey
): a delivlib.SigningKey
object used to sign the
zip bundle. Make sure to publish the public key to a well-known server so your users
can validate the authenticity of your release (see GPG Signing Key for
details on how to create a signing key pair and extract it's public key). You can either use
GitHub Pages
This publisher allows you to publish versioned static web-site content to GitHub Pages.
The publisher commits the entire contents of the docs/
directory into the root of the specified
GitHub repository, and also under the ${version}/
directory of the repo (which allows users
to access old versions of the docs if they wish).
NOTE: static website content can grow big. Therefore, this publisher will always force-push
to the branch without history (history is preserved via the versions/
directory). Make sure
you don't protect this branch against force-pushing or otherwise the publisher will fail.
This publisher depends on the following artifacts:
build.json
: build manifest (see schema above)docs/**
: the static website contents
This is how this publisher works:
- Read the
version
field from build.json
- Clone the
gh-pages
branch of the target repository to a local working directory - Rsync the contents of
docs/**
both to versions/${version}
and to /
of the working copy. - Commit and push to the
gh-pages
branch on GitHub
NOTE: if docs/
contains a fully rendered static website, you should also include
a .nojekyll
file to bypass
Jekyll rendering.
To add this publisher to your pipeline, use the pipeline.publishToGitHubPages
method:
pipeline.publishToGitHubPages({
githubRepo,
sshKeySecret: { secretArn: 'github-ssh-key-secret-arn' },
commitEmail: 'foo@bar.com',
commitUsername: 'foobar',
branch: 'gh-pages'
});
In order to publish to GitHub Pages, you will need the following pieces of information:
- The target GitHub repository (
githubRepo
). See instructions on
how to connect to a GitHub repository. It doesn't have to be the same
repository as the source repository, but it can be. - SSH private key (
sshKeySecret
) for pushing to that repository stored in AWS
Secrets Manager which is configured in your GitHub repository as a deploy key
with write permissions. - Committer email (
commitEmail
) and username (commitUsername
).
To create an ssh deploy key for your repository:
- Follow this
guide
to produce a private/public key pair on your machine.
- Add the deploy key to your repository with write permissions.
- Create an AWS Secrets Manager secret and paste the private key as plaintext
(not key/value).
- Use the name of the AWS Secrets Manager secret in the
sshKeySecret
option.
License
This library is licensed under the Apache 2.0 License.