swift composable architecture

A library for building applications in a consistent and understandable way, with composition, testing, and ergonomics in mind.

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The Composable Architecture

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The Composable Architecture (TCA, for short) is a library for building applications in a consistent
and understandable way, with composition, testing, and ergonomics in mind. It can be used in
SwiftUI, UIKit, and more, and on any Apple platform (iOS, macOS, tvOS, and watchOS).

What is the Composable Architecture?

This library provides a few core tools that can be used to build applications of varying purpose and
complexity. It provides compelling stories that you can follow to solve many problems you encounter
day-to-day when building applications, such as:

  • State management

    How to manage the state of your application using simple value types, and share state across
    many screens so that mutations in one screen can be immediately observed in another screen.

  • Composition

    How to break down large features into smaller components that can be extracted to their own,
    isolated modules and be easily glued back together to form the feature.

  • Side effects

    How to let certain parts of the application talk to the outside world in the most testable
    and understandable way possible.

  • Testing

    How to not only test a feature built in the architecture, but also write integration tests
    for features that have been composed of many parts, and write end-to-end tests to understand how
    side effects influence your application. This allows you to make strong guarantees that your
    business logic is running in the way you expect.

  • Ergonomics

    How to accomplish all of the above in a simple API with as few concepts and moving parts as
    possible.

Learn More

The Composable Architecture was designed over the course of many episodes on
Point-Free, a video series exploring functional programming and the Swift language,
hosted by Brandon Williams and Stephen Celis.

You can watch all of the episodes here, as well as a dedicated, multipart
tour of the architecture from scratch.

video poster image

Examples

Screen shots of example applications

This repo comes with lots of examples to demonstrate how to solve common and complex problems with
the Composable Architecture. Check out this directory to see them all, including:

Looking for something more substantial? Check out the source code for isowords, an
iOS word search game built in SwiftUI and the Composable Architecture.

Basic Usage

[!Note]
For a step-by-step interactive tutorial, be sure to check out Meet the Composable
Architecture.

To build a feature using the Composable Architecture you define some types and values that model
your domain:

  • State: A type that describes the data your feature needs to perform its logic and render its
    UI.
  • Action: A type that represents all of the actions that can happen in your feature, such as
    user actions, notifications, event sources and more.
  • Reducer: A function that describes how to evolve the current state of the app to the next
    state given an action. The reducer is also responsible for returning any effects that should be
    run, such as API requests, which can be done by returning an Effect value.
  • Store: The runtime that actually drives your feature. You send all user actions to the store
    so that the store can run the reducer and effects, and you can observe state changes in the store
    so that you can update UI.

The benefits of doing this are that you will instantly unlock testability of your feature, and you
will be able to break large, complex features into smaller domains that can be glued together.

As a basic example, consider a UI that shows a number along with “+” and “−” buttons that increment
and decrement the number. To make things interesting, suppose there is also a button that when
tapped makes an API request to fetch a random fact about that number and displays it in the view.

To implement this feature we create a new type that will house the domain and behavior of the
feature, and it will be annotated with the @Reducer macro:

import ComposableArchitecture

@Reducer
struct Feature {
}

In here we need to define a type for the feature’s state, which consists of an integer for the
current count, as well as an optional string that represents the fact being presented:

@Reducer
struct Feature {
  @ObservableState
  struct State: Equatable {
    var count = 0
    var numberFact: String?
  }
}

[!Note]
We’ve applied the @ObservableState macro to State in order to take advantage of the
observation tools in the library.

We also need to define a type for the feature’s actions. There are the obvious actions, such as
tapping the decrement button, increment button, or fact button. But there are also some slightly
non-obvious ones, such as the action that occurs when we receive a response from the fact API
request:

@Reducer
struct Feature {
  @ObservableState
  struct State: Equatable { /* ... */ }
  enum Action {
    case decrementButtonTapped
    case incrementButtonTapped
    case numberFactButtonTapped
    case numberFactResponse(String)
  }
}

And then we implement the body property, which is responsible for composing the actual logic and
behavior for the feature. In it we can use the Reduce reducer to describe how to change the
current state to the next state, and what effects need to be executed. Some actions don’t need to
execute effects, and they can return .none to represent that:

@Reducer
struct Feature {
  @ObservableState
  struct State: Equatable { /* ... */ }
  enum Action { /* ... */ }

  var body: some Reducer<State, Action> {
    Reduce { state, action in
      switch action {
      case .decrementButtonTapped:
        state.count -= 1
        return .none

      case .incrementButtonTapped:
        state.count += 1
        return .none

      case .numberFactButtonTapped:
        return .run { [count = state.count] send in
          let (data, _) = try await URLSession.shared.data(
            from: URL(string: "http://numbersapi.com/\(count)/trivia")!
          )
          await send(
            .numberFactResponse(String(decoding: data, as: UTF8.self))
          )
        }

      case let .numberFactResponse(fact):
        state.numberFact = fact
        return .none
      }
    }
  }
}

And then finally we define the view that displays the feature. It holds onto a StoreOf<Feature>
so that it can observe all changes to the state and re-render, and we can send all user actions to
the store so that state changes:

struct FeatureView: View {
  let store: StoreOf<Feature>

  var body: some View {
    Form {
      Section {
        Text("\(store.count)")
        Button("Decrement") { store.send(.decrementButtonTapped) }
        Button("Increment") { store.send(.incrementButtonTapped) }
      }

      Section {
        Button("Number fact") { store.send(.numberFactButtonTapped) }
      }
      
      if let fact = store.numberFact {
        Text(fact)
      }
    }
  }
}

It is also straightforward to have a UIKit controller driven off of this store. You can observe
state changes in the store in viewDidLoad, and then populate the UI components with data from
the store. The code is a bit longer than the SwiftUI version, so we have collapsed it here:

Click to expand! 
class FeatureViewController: UIViewController {
  let store: StoreOf<Feature>

  init(store: StoreOf<Feature>) {
    self.store = store
    super.init(nibName: nil, bundle: nil)
  }

  required init?(coder: NSCoder) {
    fatalError("init(coder:) has not been implemented")
  }

  override func viewDidLoad() {
    super.viewDidLoad()

    let countLabel = UILabel()
    let decrementButton = UIButton()
    let incrementButton = UIButton()
    let factLabel = UILabel()
    
    // Omitted: Add subviews and set up constraints...
    
    observe { [weak self] in
      guard let self 
      else { return }
      
      countLabel.text = "\(self.store.text)"
      factLabel.text = self.store.numberFact
    }
  }

  @objc private func incrementButtonTapped() {
    self.store.send(.incrementButtonTapped)
  }
  @objc private func decrementButtonTapped() {
    self.store.send(.decrementButtonTapped)
  }
  @objc private func factButtonTapped() {
    self.store.send(.numberFactButtonTapped)
  }
}

Once we are ready to display this view, for example in the app’s entry point, we can construct a
store. This can be done by specifying the initial state to start the application in, as well as
the reducer that will power the application:

import ComposableArchitecture

@main
struct MyApp: App {
  var body: some Scene {
    WindowGroup {
      FeatureView(
        store: Store(initialState: Feature.State()) {
          Feature()
        }
      )
    }
  }
}

And that is enough to get something on the screen to play around with. It’s definitely a few more
steps than if you were to do this in a vanilla SwiftUI way, but there are a few benefits. It gives
us a consistent manner to apply state mutations, instead of scattering logic in some observable
objects and in various action closures of UI components. It also gives us a concise way of
expressing side effects. And we can immediately test this logic, including the effects, without
doing much additional work.

Testing

[!Note]
For more in-depth information on testing, see the dedicated testing article.

To test use a TestStore, which can be created with the same information as the Store, but it
does extra work to allow you to assert how your feature evolves as actions are sent:

@MainActor
func testFeature() async {
  let store = TestStore(initialState: Feature.State()) {
    Feature()
  }
}

Once the test store is created we can use it to make an assertion of an entire user flow of steps.
Each step of the way we need to prove that state changed how we expect. For example, we can
simulate the user flow of tapping on the increment and decrement buttons:

// Test that tapping on the increment/decrement buttons changes the count
await store.send(.incrementButtonTapped) {
  $0.count = 1
}
await store.send(.decrementButtonTapped) {
  $0.count = 0
}

Further, if a step causes an effect to be executed, which feeds data back into the store, we must
assert on that. For example, if we simulate the user tapping on the fact button we expect to
receive a fact response back with the fact, which then causes the numberFact state to be
populated:

await store.send(.numberFactButtonTapped)

await store.receive(\.numberFactResponse) {
  $0.numberFact = ???
}

However, how do we know what fact is going to be sent back to us?

Currently our reducer is using an effect that reaches out into the real world to hit an API server,
and that means we have no way to control its behavior. We are at the whims of our internet
connectivity and the availability of the API server in order to write this test.

It would be better for this dependency to be passed to the reducer so that we can use a live
dependency when running the application on a device, but use a mocked dependency for tests. We can
do this by adding a property to the Feature reducer:

@Reducer
struct Feature {
  let numberFact: (Int) async throws -> String
  // ...
}

Then we can use it in the reduce implementation:

case .numberFactButtonTapped:
  return .run { [count = state.count] send in 
    let fact = try await self.numberFact(count)
    await send(.numberFactResponse(fact))
  }

And in the entry point of the application we can provide a version of the dependency that actually
interacts with the real world API server:

@main
struct MyApp: App {
  var body: some Scene {
    WindowGroup {
      FeatureView(
        store: Store(initialState: Feature.State()) {
          Feature(
            numberFact: { number in
              let (data, _) = try await URLSession.shared.data(
                from: URL(string: "http://numbersapi.com/\(number)")!
              )
              return String(decoding: data, as: UTF8.self)
            }
          )
        }
      )
    }
  }
}

But in tests we can use a mock dependency that immediately returns a deterministic, predictable
fact:

@MainActor
func testFeature() async {
  let store = TestStore(initialState: Feature.State()) {
    Feature(numberFact: { "\($0) is a good number Brent" })
  }
}

With that little bit of upfront work we can finish the test by simulating the user tapping on the
fact button, and thenreceiving the response from the dependency to present the fact:

await store.send(.numberFactButtonTapped)

await store.receive(\.numberFactResponse) {
  $0.numberFact = "0 is a good number Brent"
}

We can also improve the ergonomics of using the numberFact dependency in our application. Over
time the application may evolve into many features, and some of those features may also want access
to numberFact, and explicitly passing it through all layers can get annoying. There is a process
you can follow to “register” dependencies with the library, making them instantly available to any
layer in the application.

[!Note]
For more in-depth information on dependency management, see the dedicated
dependencies article.

We can start by wrapping the number fact functionality in a new type:

struct NumberFactClient {
  var fetch: (Int) async throws -> String
}

And then registering that type with the dependency management system by conforming the client to
the DependencyKey protocol, which requires you to specify the live value to use when running the
application in simulators or devices:

extension NumberFactClient: DependencyKey {
  static let liveValue = Self(
    fetch: { number in
      let (data, _) = try await URLSession.shared
        .data(from: URL(string: "http://numbersapi.com/\(number)")!
      )
      return String(decoding: data, as: UTF8.self)
    }
  )
}

extension DependencyValues {
  var numberFact: NumberFactClient {
    get { self[NumberFactClient.self] }
    set { self[NumberFactClient.self] = newValue }
  }
}

With that little bit of upfront work done you can instantly start making use of the dependency in
any feature by using the @Dependency property wrapper:

 @Reducer
 struct Feature {
-  let numberFact: (Int) async throws -> String
+  @Dependency(\.numberFact) var numberFact
   
   …

-  try await self.numberFact(count)
+  try await self.numberFact.fetch(count)
 }

This code works exactly as it did before, but you no longer have to explicitly pass the dependency
when constructing the feature’s reducer. When running the app in previews, the simulator or on a
device, the live dependency will be provided to the reducer, and in tests the test dependency will
be provided.

This means the entry point to the application no longer needs to construct dependencies:

@main
struct MyApp: App {
  var body: some Scene {
    WindowGroup {
      FeatureView(
        store: Store(initialState: Feature.State()) {
          Feature()
        }
      )
    }
  }
}

And the test store can be constructed without specifying any dependencies, but you can still
override any dependency you need to for the purpose of the test:

let store = TestStore(initialState: Feature.State()) {
  Feature()
} withDependencies: {
  $0.numberFact.fetch = { "\($0) is a good number Brent" }
}

// ...

That is the basics of building and testing a feature in the Composable Architecture. There are
a lot more things to be explored, such as composition, modularity, adaptability, and complex
effects. The Examples directory has a bunch of projects to explore to see more
advanced usages.

Documentation

The documentation for releases and main are available here:

Other versions

There are a number of articles in the documentation that you may find helpful as you become more
comfortable with the library:

Community

If you want to discuss the Composable Architecture or have a question about how to use it to solve
a particular problem, there are a number of places you can discuss with fellow
Point-Free enthusiasts:

Installation

You can add ComposableArchitecture to an Xcode project by adding it as a package dependency.

  1. From the File menu, select Add Package Dependencies…
  2. Enter “https://github.com/pointfreeco/swift-composable-architecture” into the package
    repository URL text field
  3. Depending on how your project is structured:
    • If you have a single application target that needs access to the library, then add
      ComposableArchitecture directly to your application.
    • If you want to use this library from multiple Xcode targets, or mix Xcode targets and SPM
      targets, you must create a shared framework that depends on ComposableArchitecture and
      then depend on that framework in all of your targets. For an example of this, check out the
      Tic-Tac-Toe demo application, which splits lots of features into
      modules and consumes the static library in this fashion using the tic-tac-toe Swift
      package.

Companion libraries

The Composable Architecture is built with extensibility in mind, and there are a number of
community-supported libraries available to enhance your applications:

If you’d like to contribute a library, please open a
PR with a link
to it!

Translations

The following translations of this README have been contributed by members of the community:

If you’d like to contribute a translation, please open a
PR with a link
to a Gist!

FAQ

  • How does the Composable Architecture compare to Elm, Redux, and others?

    Expand to see answer The Composable Architecture (TCA) is built on a foundation of ideas popularized by the Elm Architecture (TEA) and Redux, but made to feel at home in the Swift language and on Apple's platforms.

    In some ways TCA is a little more opinionated than the other libraries. For example, Redux is
    not prescriptive with how one executes side effects, but TCA requires all side effects to be
    modeled in the Effect type and returned from the reducer.

    In other ways TCA is a little more lax than the other libraries. For example, Elm controls what
    kinds of effects can be created via the Cmd type, but TCA allows an escape hatch to any kind
    of effect since Effect wraps around an async operation.

    And then there are certain things that TCA prioritizes highly that are not points of focus for
    Redux, Elm, or most other libraries. For example, composition is very important aspect of TCA,
    which is the process of breaking down large features into smaller units that can be glued
    together. This is accomplished with reducer builders and operators like Scope, and it aids in
    handling complex features as well as modularization for a better-isolated code base and improved
    compile times.

Credits and thanks

The following people gave feedback on the library at its early stages and helped make the library
what it is today:

Paul Colton, Kaan Dedeoglu, Matt Diephouse, Josef Doležal, Eimantas, Matthew Johnson, George
Kaimakas, Nikita Leonov, Christopher Liscio, Jeffrey Macko, Alejandro Martinez, Shai Mishali, Willis
Plummer, Simon-Pierre Roy, Justin Price, Sven A. Schmidt, Kyle Sherman, Petr Šíma, Jasdev Singh,
Maxim Smirnov, Ryan Stone, Daniel Hollis Tavares, and all of the Point-Free
subscribers 😁.

Special thanks to Chris Liscio who helped us work through many strange
SwiftUI quirks and helped refine the final API.

And thanks to Shai Mishali and the
CombineCommunity project, from which we took
their implementation of Publishers.Create, which we use in Effect to help bridge delegate and
callback-based APIs, making it much easier to interface with 3rd party frameworks.

Other libraries

The Composable Architecture was built on a foundation of ideas started by other libraries, in
particular Elm and Redux.

There are also many architecture libraries in the Swift and iOS community. Each one of these has
their own set of priorities and trade-offs that differ from the Composable Architecture.

License

This library is released under the MIT license. See LICENSE for details.