Swift Package Continuous Integration Guide

Swift packages offer an easy manageable way to share code and functionality. If you wish to create your own package, it’s important to make sure your code works where it’s supposed to and the quality is good. Most importantly, continuous integration is a great way to ensure that. If you are interested in learning why continuous integration is important, check out this article on avoiding merge hell. Therefore, in this article I am going to show you how to setup Swift package continuous integration.

What’s important to realize is that Swift packages are reusable pieces of code which encapsulate a set of functionality. In the end, there are two ways to create a Swift package: via Xcode or command line.

Getting Started

Under the Xcode menu, go to File > New > Swift Package and follow the corresponding dialog. Alternatively, you can use the swift command line tool to create your package. First, create an empty directory and run the create package subcommand:

> mkdir New-Package 
> swift package init

In the end, you should have:

• A Source directory for your main source code
• A Tests directory for your testing code
• A Package.swift containing the configuration in Swift of your code

Specifying Platforms and Devices

Before distributing your Swift package, it’s important to note which operating systems or platforms your code can run on. In the past I’ve reasonably assumed a Swift package would work on watchOS or Linux for instance. Only after adding the dependency and attempting to compile, did I realize the incompatibility issue. If you use an API that is limited to certain platforms, you have two options.

Specify via Package

Firstly, you can specify an operating system and version in the Package.swift under the platforms property:

...
    platforms: [
        .macOS(.v10_15),
        .iOS(.v13),
        .watchOS(.v5),
        .tvOS(.v13)
    ]
...

Using Attributes and API Availability

On the other hand, you may want to offer some functionality on some devices. With this in mind, you can use the attributes and API availability checks. In other words the available attribute allows you to mark certain functionality of your Swift package unavailable on certain operating systems and versions.

In addition, by doing API availability checks you can supply the correct implementation based on operating system and version. Furthermore, whenever you may need to import certain frameworks which may be required but may not be available, you can use canImport, as well.

Here’s an example of extending CGFloat for all operating systems, but importing CoreGraphics, when possible:

#if canImport(CoreGraphics)
  import CoreGraphics
#endif

extension CGFloat {
  var clean: String {
    truncatingRemainder(dividingBy: 1) == 0 ? String(format: "%.0f", self) : description
  }
}

Be that as it may, if you are planning on supporting all operating systems which support Swift then there is no need to do this. Regardless, it may be worth spending some time verifying and updating this property accordingly.

Why Continuous Integration?

Having properly setup your package and provided correct compatibility, it’s important to make sure your package works. Additionally, you may want to make sure each change to your code works correctly. Luckily, this is where Continuous Integration comes in.

Continuous integration (CI) is the software practice where small code changes are frequently tested with the rest of the code to ensure nothing breaks as it changes. In other words, with CI we can make sure each change works correctly by integrating a service with our code.

Listen to our episode with Kyle Newsome talking about Continuous Integration

https://www.youtube.com/watch?v=SiLbztr2f2o

https://share.transistor.fm/s/a14f868f

Choosing a service for Swift Package Continuous Integration

What’s important to realize is that by using a cloud service for your Swift package, you can make sure your package works everywhere. Often times, we may be have some source, artifact, or tool required to build our code. However with a cloud service, you can ensure that if your Swift package builds and tests in the cloud it will work for anyone else.

Luckily, there are some great services out there to help your Swift package especially if it’s a public GitHub repository. At the present time, unfortunately, some services only support Continuous Integration for iOS Applications rather than Swift packages such as Circle CI and Bitrise. Be that as it may, Travis-CI as well as the most recent GitHub Actions allow for Swift Package Continuous Integration.

Travis-CI

Travis-CI is one of the older Continuous Integration services out there. Most importantly for public repositories, Travis-CI is completely free. In other words, you can configure your Swift package on Travis-CI. In order to configure your repository, signup with Travis-CI by linking your GitHub account or organization. Next you need to setup your .travis.yml file.

Notably, there are three key components for setting up a Swift package in Travis-CI:

• Specifying the correct operating system and Xcode version
• Building and testing your code

For example, here is a simple .travis.yml file:

language: objective-c
os: osx
osx_image: xcode11.3
script:
  - swift build
  - swift test

The first three properties setup the virtual machine which Travis-CI uses. Next, the lines under script specify the commands Travis-CI needs to run to verify the Swift package is working. In this case, since we are not building from an Xcode project or workspace, we need to specify our own custom commands. In other words, rather than using xcodebuild, the Swift command line tool will build and test our package.

While Travis-CI is the most experienced cloud CI service out there, recently GitHub has also offered its own service with GitHub Actions.

Github Actions

With the fairly recent release of GitHub Actions, you can setup Swift package continuous integration right from your repo. Most importantly GitHub Actions is completely free for public repositories. Therefore, let’s breakdown the functionality of GitHub Actions.

GitHub Actions Components — Workflows, Actions, Jobs and more

In order to setup our Swift package continuous integration in GitHub Actions, we need to understand the components. Similar to Travis-CI, GitHub uses YAML for its configuration. Specifically these YAML files are known as workflow files. For example, here is a sample with the name macOS:

name: macOS

on: [push]

jobs:
  build:  
    runs-on: macos-latest
    steps:
    - uses: actions/checkout@v2
    - name: Build
      run: swift build
    - name: Run tests
      run: swift test

In contrast to Travis-CI, you can setup multiple of these files. Therefore as long as you store them in your repository under the .github/workflow folder, GitHub Actions will execute each of these workflow files on trigger.

Speaking of trigger, you can specify many triggers. However in the case of our Swift package, we will only be using the push trigger to activate this workflow.

Below the on trigger, we have setup one job under jobs called build. With in the build job, we have specified the runner type (i.e virtual environment) of macOS-latest. In other words, it will be using the latest version of macOS to run the series of steps.

...
    steps:
    - uses: actions/checkout@v2
    - name: Build
      run: swift build
    - name: Run tests
      run: swift test

GitHub Actions — Step By Step

Below the runner type property are the series of steps specified. In this case, the first step with the single uses property checks out the code from the repository. While the following steps have a name label and a runcommand to execute: first building the Swift package (swift build) then running tests provided (swift test).

What’s important to note is that each needs a custom command (via run) with a name or to use a prebuilt action from the GitHub repo such as actions/checkout@v2 to pull the source code from the repository. Unfortunately many of the GitHub Actions provided on GitHub may not be compatible with macOS due to various requirements.

Luckily you should have Continuous Integration setup for your Swift package in both Travis-CI and GitHub Actions. However if you wish to support Linux with your Swift package, it is import to configure the Swift package continuous integration for a Linux environment as well.

Linux Support for Swift Package Continuous Integration

If you wish for your Swift package to be supported everywhere, it might be a good idea to support Linux. Therefore, it’s important to have your Swift package Continuous integration to extend to Linux. Thankfully both Travis-CI and GitHub Action support Linux (i.e. Ubuntu) as well as the configuration of more than one environment per repository. First, let’s understand how build matrices work in Travis-CI.

Configuring Travis-CI for Linux

With Travis-CI, we can use a build matrix to include more than one environment. In other words, Travis-CI will run each environment in the build matrix in parallel. Therefore, let’s swap the top section specifying only macOS from above with a build matrix including both macOS and Linux (i.e. Ubuntu 18.04-bionic):

jobs:
  include:
    - os: linux
      dist: bionic
      sudo: required
    - os: osx
      osx_image: xcode11.3

Now, it will run each phase in parallel on Ubuntu as well as macOS. However we’ll need to make changes to both of the these sections in order to support Linux. Most importantly, we will need to install Swift.

Therefore, we will move or create the script and before_install phases into separate bash scripts and update .travis.yml accordingly:

jobs:
  include:
    - os: linux
      dist: bionic
      sudo: required
    - os: osx
      osx_image: xcode11.3
before_install:
  - ./Scripts/before_install.sh
script:
  - ./Scripts/script.sh

Next let’s create a script for before_install named before_install.shunder the Scripts folder with the following code:

#!/bin/bash

if [[ $TRAVIS_OS_NAME = 'osx' ]]; then
  # install macOS prerequistes
elif [[ $TRAVIS_OS_NAME = 'linux' ]]; then
  # download swift
  wget https://swift.org/builds/swift-5.1.3-release/ubuntu1804/swift-5.1.3-RELEASE/swift-5.1.3-RELEASE-ubuntu18.04.tar.gz
  # extract the archive
  tar xzf swift-5.1.3-RELEASE-ubuntu18.04.tar.gz
  # include the swift command in the PATH
  export PATH="${PWD}/swift-5.1.3-RELEASE-ubuntu18.04/usr/bin:$PATH"
fi

Within the bash script, we check the environment variable TRAVIS_OS_NAMEsetup by Travis-CI. With the variable, we check whether it is osx for a macOS environment or linux for the Ubuntu environment.

Since Xcode is not available on Ubuntu, we need to manually within the bash script, download and extract Swift. Lastly we need to include the directory path of the Swift command tool within the environment PATH variable.

Correspondingly we need to make sure the PATH is updated in the Scripts/script.sh file:

#!/bin/bash

if [[ $TRAVIS_OS_NAME = 'osx' ]]; then
  # What to do in macOS
elif [[ $TRAVIS_OS_NAME = 'linux' ]]; then
  # What to do in Ubunutu
  export PATH="${PWD}/swift-5.1.3-RELEASE-ubuntu18.04/usr/bin:$PATH"
fi

swift build
swift test

Therefore the only major change within the script section of the Travis-CI configuration is including the path to the Swift command line tool.

As a result, each time a push is made to the repository, Travis-CI will run both a macOS and Ubuntu process. In effect, we have setup Swift package continuous integration for both operating systems in Travis-CI. Accordingly, let’s do the same thing for GitHub Actions.

Configuring GitHub Actions for Linux

While Travis-CI requires us to check the operating system within the build script, GitHub Actions allows us to use separate workflow files for each operating system.

name: ubuntu

on: [push]

jobs:
  build:

    runs-on: ubuntu-18.04

    steps:
    - uses: actions/checkout@v2
    - name: Download Swift 5.1.3
      run: wget https://swift.org/builds/swift-5.1.3-release/ubuntu1804/swift-5.1.3-RELEASE/swift-5.1.3-RELEASE-ubuntu18.04.tar.gz
    - name: Extract Swift 5.1.3
      run: tar xzf swift-5.1.3-RELEASE-ubuntu18.04.tar.gz
    - name: Add Path
      run: echo "::add-path::$GITHUB_WORKSPACE/swift-5.1.3-RELEASE-ubuntu18.04/usr/bin"
    - name: Build
      run: swift build
    - name: Run tests
      run: swift test

In this case, each command is stored within an individual step. As can be seen, the one custom part is the method we use to add the path using GitHub Actions logging commands and variables. With echo "::add-path::$GITHUB_WORKSPACE/swift-5.1.3-RELEASE-ubuntu18.04/usr/bin", we update the PATH variable.

As a result, your Swift package continuous integration should support Linux via Travis-CI and GitHub Action. However, there are a few steps in order to support Linux when it comes to testing.

Testing, CI, and Linux

When it comes to verifying whether your package works correctly, having the right unit tests are a major component of that. Luckily, if you are using the XCTest framework and setup the CI scaffold previously described, you should be good to go. However with Linux, XCTest will not automatically provide all the correct tests in your application without some modifications. There are a few ways of doing this:

1. Manually update your XCTestManifests.swift and LinuxMain.swift 🙁
2. Run swift test --generate-linuxmain before commit on your macOS machine to let the swift command line tool update your LinuxMain.swift.
3. Update your CI for Linux to run swift test --enable-test-discovery which will automatically discover and run your tests.

If you are interested in learning more about this check out Ole Begemann’s piece on keeping XCTest in sync as well as how automatic test discovery works.

Now that we have our unit tests working correctly, let’s look into keeping tracking of code coverage.

Integrating Code Coverage

Code coverage is a good way to keep track of how well your unit tests are handling. Luckily there are some great services out there to keep track of your code coverage as you build your Swift package.

CodeCov

CodeCov.io is one such service which we can plugin into our Swift Package Continuous Integration setup. However, once you have signed up and added your public repository, it will take some configuration to make it work completely.

For instance, we must make sure that the tests, build a report, convert the report to a compatible format, then lastly upload the the report to . Building the report when you run the unit tests is fairly easy. In this case, we simply need to add the flag --enable-code-coverage to our swift test for both Travis-CI and GitHub Actions; macOS and Linux:

swift test --enable-code-coverage

Next, we need to prepare the report for upload using llvm-cov. With this in mind, on macOS you can use xcrun to run llvm-cov:

xcrun llvm-cov export -format="lcov" .build/debug/${{FRAMEWORK_NAME}}PackageTests.xctest/Contents/MacOS/${{FRAMEWORK_NAME}}PackageTests -instr-profile .build/debug/codecov/default.profdata > info.lcov

Corresponding in Linux, we can run llvm-cov manually:

llvm-cov export -format="lcov" .build/x86_64-unknown-linux/debug/${{FRAMEWORK_NAME}}PackageTests.xctest -instr-profile .build/debug/codecov/default.profdata > info.lcov

Simply replace ${{FRAMEWORK_NAME}} with your Swift package name or even better setup an environment variable in Travis-CI and GitHub Actions.

Lastly, we need to upload the report using the Bash script provided by CodeCov.io:

bash <(curl https://codecov.io/bash)

While Travis-CI automatically integrates with CodeCov.io, GitHub does require manually setting up the token for CodeCov.io:

1. First, go to your project in CodeCov.io and copy the token from the project overview.
2. Go to your GitHub repository settings and under Secrets add the token under the name CODECOV_TOKEN.
3. Under both the macOS and ubuntu workflow files, add the CODECOV_TOKEN as the environment variable under the upload step.

For example, here’s the Ubuntu workflow file which uses an environment variable for the Swift package name and maps the CODECOV_TOKEN secret to the uploader command environment variable:

...    
    - name: Run tests
      run: swift test --enable-code-coverage
    - name: Prepare Code Coverage
      run: llvm-cov export -format="lcov" .build/x86_64-unknown-linux/debug/${{ env.PACKAGE_NAME }}PackageTests.xctest -instr-profile .build/debug/codecov/default.profdata > info.lcov
    - name: Upload to CodeCov.io
      run: bash <(curl https://codecov.io/bash)
      env:
          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

Now that we have completed setting up a code coverage report with CodeCov.io, Let’s talk about ensuring good code quality.

Code Quality and CI

There are some great automated ways we can keep up code quality inside our Swift package continuous integration. However, nothing replaces a good code review. If you can, have some sort of code review process by someone else. If it’s difficult to find someone else, I suggest reviewing a Swift package’s code after some down time to ensure you can have a fresh look at your code.

Regardless, let’s look at some of the ways we can automate code quality checks.

Formatting, Beautification, and Linting

There are two command line tools I use to maintain quality code while keeping formatting consistent: SwiftFormat and SwiftLint. Fortunately, each application can be installed via Homebrew. Therefore, we can use Homebrew bundle to automate the installation of both applications inside our Swift package continuous integration. With this in mind, add a file called Brewfile to the root of repository with the following text:

brew "swiftformat" 
brew "swiftlint"

Next we need to add the installation these applications in the earliest part of our CI setup. However these applications will only work on macOS and we need to verify that as well. Therefore we modify our before_install.sh script for Travis-CI with:

...
if [[ $TRAVIS_OS_NAME = 'osx' ]]; then
  brew update
  brew bundle
elif [[ $TRAVIS_OS_NAME = 'linux' ]]; then
...

Meanwhile, for Github Actions, we simply need to add steps to our macOS workflow file:

...
  steps:
    - uses: actions/checkout@v2
    - name: Prepare Build
      run: brew bundle
...

Lastly we need to add the following command to verify code quality after the installation:

swiftformat --lint . && swiftlint

In short, this command will run both applications in the CI process. Specifically we run swiftformat in linter mode, since our expectation is that the developer has already formatted the code correctly before commit. Correspondingly, with swiftlint, you can use the autocorrectsubcommand to fix some linter errors in your code before commit.

Again, for Travis-CI, verify the $TRAVIS_OS_NAME is osx, so the CI doesn’t run the tool in Linux.

Beside installation and execution of the tools within the Swift package continuous integration, you should probably add configuration files for both tools. In brief, these are .swiftformat and .swiftlint.yml. Futhermore, check out both the SwiftFormat and SwiftLint projects for details on how setup these configurations.

Listen to our episode with Anne Cahalan talking about Code Quality.

Empower Apps

Cloud-Based Code Quality Services

Besides SwiftFormat and SwiftLint, there are a few cloud based code quality tools which easily integrate with your public GitHub repository. Therefore, you may be interested in:

• CodeFactor.io
• CodeBeat
• CodeClimate
• HoundCI

After having setup these various tools, it’s worth taking a look at some various issues which may crop up.

Common Code Quality Issues

Now that we have setup our Swift package continuous integration and plugged in several services, there are few issues you could resolve which will show up:

Cyclomatic Complexity

Cyclomatic Complexity refers to the complexity of the code specifically when it comes to testability. In the end, if your code contains several logical paths, it is best to break these up. For instance, using Protocol Oriented Programming, you can have a protocol to test the case. Then, for each case use individual implementations and store them in an array. For instance, rather than:

if a == 0 {
    if b == 0 {
    } ...
...
} else if a == 1 {
...
} else if a == 2
...
}

Use a protocol which does:

protocol Doer {
  func test (_ a: Int, _ b: Int) -> Result?
}

let implementations : [Doer] = [FooDoer(), BarDoer()]

var result : Result?

for implementation in implmentations while result == nil {
  result = implementation(a, b)
}

As a result, testing and maintaining this code becomes much more simple.

Cognitive Complexity

While Cyclomatic Complexity determines how difficult your code will be to test, Cognitive Complexity is how difficult it is to read and understand. Therefore much of this involves breaks in logic, and unnecessary loop statements. However by making your code flow clearly from top to bottom this can be avoided.

File and Function Too Long

One of the easiest metrics of complexity is the length of your files and functions. In the end, simply refactoring should resolve the issue. To put it differently, break down large functions, classes, and structs into smaller components. At the same time, you may find a class which is difficult to split up such as a UITableViewController. In this case, Swift extensions are a great way to resolve this.

Assignment Branch Condition

Assignment Branch Condition typically is calculated based on the number of assignments, branches, and conditions as opposed to simply length. Therefore, this can be resolved by separating your functions into smaller pieces. In other words, reduce these complex elements from one function into several.

Many of these code quality issues should be resolved, however it is good to not be overly concerned with some of these metrics. Similar to code coverage, it is much more a case-by-case need for resolution.

Additionally there can easily be instances of false positives such as identical code issues. In the end, it’s important to have a measured but determined approach to code quality.

Documenting Your Swift Package

If you intend to distribute your Swift package to the public then it’s important to document your code and make that documentation easily available. In the first place, take a look at Apple’s guidance on documenting Swift code as well as:

• Swift Documentation by Sarun Wongpatcharapakorn
• Swift Documentation — NSHipster

Once you’ve properly documented your Swift package API, let’s add code documentation to our Swift package continuous integration.

Primarily, you have the option of using either Jazzy by Realm or SourceDocs. Each has their advantage depending on whether you wish to build a complete static HTML site. In that case, I would recommend Jazzy. Especially considering the maturity of Jazzy, it can be an excellent tool. On the other hand, if you wish to simply output Markdown for your package documentation, I’d recommend SourceDocs.

Using SourceDocs

To build documentation using sourcedocs, first build your Swift package using swift build. Once your package is built, you run sourcedocsusing:

sourcedocs generate --spm-module PACKAGE_NAME

Additionally, you can use a different output directory besides Documentation, such as docs. In order to do that, you can use the flag --output-folder like so:

sourcedocs generate --spm-module PACKAGE_NAME --output-folder docs

Furthermore, we can take the next step and integrate sourcedocs into our Swift package Continuous Integration.

Adding SourceDocs to Swift Package Continuous Integration

Similar to our other tools, we need to add sourcedocs to our Homebrew bundle file:

brew "swiftformat"
brew "swiftlint"
brew "sourcedocs"

Next in our macOS GitHub Action workflow file, we can add a step to build the documentation:

- name: Build Documentation
      run: sourcedocs generate --spm-module ${{ env.PACKAGE_NAME }} --output-folder docs

Lastly, in order to make sure our change is pushed, we need to add a step to commit and push any documentation changes:

- name: Commit files
      run: |
        git config --local user.email "action@github.com"
        git config --local user.name "GitHub Action"
        git status
        git add [DOCUMENTATION DIRECTORY]
        git diff-index --quiet HEAD || git commit -m "[github action] Update Docs"
        git push

A point often overlooked, is that this will fail if there is an already existing push committed while this CI takes place. Therefore, in those cases, the CI will fail. If you are concerned, I would recommend looking at using a pull request rather than a direct push to the branch.

After having built documentation for our swift package, it is important to make our package discoverable to others.

Making Your Swift Package Available

Now that we have setup:

• CI based on the supported platforms such as Linux
• linting and code quality checks
• code documentation

… let’s discuss how we can properly distribute the package to others.

SwiftPM

While Swift packages can easily be added simply as a few lines in a Package.swift, discoverability can be difficult. Luckily thanks to the work of Dave Verwer, the community has a great site with swiftpm.co.

However there are some checks we should add to make sure your Swift package is valid. Additionally we can add these checks to the Swift package continuous integration.

Using jq to Verify Products

With this intention, we need to make sure that our swift package has at least one valid product. For instance, under the product section of my Package.swift for my package , it has a library product listed:

...
  products: [
    // Products define the executables and libraries produced by a package, and make them visible to other packages.
    .library(
      name: "AssetLib",
      targets: ["AssetLib"]
    )
  ],
...

Fortunately, we can automate this by dumping the JSON of the package and verifying the products listed using . is a fantastic command-line tool for processing JSON data similar to sed. Therefore by piping the JSON from the swift subcommand package dump-package to jq, we can check the number products:

swift package dump-package | jq -e ".products | length > 0"

As can be seen, we are using the filter string to check the length property of the property products to see if there is more than one product.

Lastly, we can submit our Swift package for review by:

• Forking the Repo
• Adding our repos to packages.json
• Making sure packages.json is sorted via jq by running:
  echo "$(jq 'sort_by(ascii_downcase)' packages.json)" > packages.json
• Run validate.sh
• Create a pull request in GitHub

Then wait for acceptance to see your package listed at swiftpm.co.

Cocoapods Compatibility

While Swift packages are the future of dependency management, there are several reasons why Cocoapods is still in use. For this reason, it’s a good idea to add support for Cocoapods to your library. Luckily, there are only a few simple steps to add for making our Swift package is compatible.

Once you have Cocoapods installed, create the Cocoapods spec by running:

pod spec create $(git remote get-url origin)

At the present time, you should have a .podspec file named after your library. Inside the .podspec. file, add or set:

• Long description under spec.description
• Short summary under spec.summary
• Create License File and set the set license type and file name under spec.license
• Your name and email address under spec.author
• The deployment targets for each operating system
• The spec.source to the repository url and git tag of the target version
• spec.source_files to Sources/**/*.swift
• The spec.swift_versions

Lastly we can verify our package is valid in our existing continuous integration by including pod lib lint within the macOS sections of our script.

Setting Up An Example Project

Additionally I would encourage creating an example project using your library with targets in each operating system. Moreover, we can also verify our example project builds. After creating the example project in a directory called Example, create a Podfile using pod init. Then update the Podfile by adding a reference to your pod in the parent directory:

...
target 'iOS Example' do
  # Comment the next line if you don't want to use dynamic frameworks
  use_frameworks!
  pod 'PackageName', :path => '../'

  # Pods for iOS Example

end
...

Next to verify the build in our macOS continuous integration, include the following lines:

if [[ $TRAVIS_OS_NAME = 'osx' ]]; then
...
  swift package generate-xcodeproj
  pod install --silent --project-directory=Example
  xcodebuild -quiet -workspace Example/Example.xcworkspace -scheme "iOS Example"  ONLY_ACTIVE_ARCH=NO  CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED=NO  CODE_SIGNING_ALLOWED=NO
  xcodebuild -quiet -workspace Example/Example.xcworkspace -scheme "tvOS Example"  ONLY_ACTIVE_ARCH=NO   CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED=NO  CODE_SIGNING_ALLOWED=NO
  xcodebuild -quiet -workspace Example/Example.xcworkspace -scheme "macOS Example"  ONLY_ACTIVE_ARCH=NO CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED=NO  CODE_SIGNING_ALLOWED=NO
...

In other words, this script example for Travis-CI, will:

• Generate the Xcode project Cocoapods needs.
• Install the Cocoapod and create the workspace file
• Build each application target for each operating system

Therefore, we have created a .podspec and added continuous integration for the pod as well as the example project. Lastly, we need to push the repository to GitHub and tag it with the proper version. Once that's done, make sure you have a account setup and run: pod trunk push NAME.podspec to push our repo.

Examples and Integration

In the end, it’s important to make sure your package maintains good quality, works on its designated platforms, is easily available, and is fully tested. If you are interested, you can check out packages which I have implemented using these practices:

• Base32Crockford — the Swift implementation of the Base32Crockford encoding
• AssetLib — which reads and updates app icon and image set information used in Xcode Asset Libraries
• SwiftVer — reads version information from Bundles and Plists as well as information stored from version control using autorevision

Furthermore, you can use my GitHub template EggSeed, which automates most of what we’ve talked about here:

• creation of a Swift package library
• creation of Cocoapod spec
• setup of example projects
• SwiftLint and SwiftFormat tooling
• code documentation setup
• CI Integration with Travis-CI, GitHub Actions, and CodeCov.IO

Additionally, badges are included from shields.io to showcase the quality of your Swift package continuous integration.

Feel free to reach out if you have any additional questions on Twitter @leogdion or signup for the newsletter below to get the latest tutorials and guides on Swift development.

Originally published at https://learningswift.brightdigit.com on March 2, 2020.