# effectful [![Build Status](https://github.com/haskell-effectful/effectful/workflows/Haskell-CI/badge.svg?branch=master)](https://github.com/haskell-effectful/effectful/actions?query=branch%3Amaster) [![Hackage](https://img.shields.io/hackage/v/effectful.svg)](https://hackage.haskell.org/package/effectful) [![Dependencies](https://img.shields.io/hackage-deps/v/effectful.svg)](https://packdeps.haskellers.com/feed?needle=andrzej@rybczak.net) [![Stackage LTS](https://www.stackage.org/package/effectful/badge/lts)](https://www.stackage.org/lts/package/effectful) [![Stackage Nightly](https://www.stackage.org/package/effectful/badge/nightly)](https://www.stackage.org/nightly/package/effectful) An easy to use, fast extensible effects library with seamless integration with the existing Haskell ecosystem. Main features: 1. Very fast ([benchmarks](https://github.com/haskell-effectful/effectful/tree/master/benchmarks/README.md)). 2. Easy to use API (comparable with usage of the [MonadUnliftIO](https://hackage.haskell.org/package/unliftio-core/docs/Control-Monad-IO-Unlift.html#t:MonadUnliftIO) class). 3. Correct semantics in presence of runtime exceptions (no more discarded state updates). 4. Seamless integration with the existing ecosystem (`exceptions`, `monad-control`, `unliftio-core`, `resourcet` etc.). 5. Support for thread local and shared state (e.g. `StateT` provides a thread local state, while `MVar` holds a shared state, both approaches have their merits). 6. Support for statically (implementation determined at compile time) and dynamically (implementation determined at run time) dispatched effects. ## Motivation Do we really need yet another library for handling effects? There's [freer-simple](https://hackage.haskell.org/package/freer-simple), [fused-effects](https://hackage.haskell.org/package/fused-effects), [polysemy](https://hackage.haskell.org/package/polysemy), [eff](https://github.com/lexi-lambda/eff) and probably a few more. It needs to be noted that of all of them only the work-in-progress `eff` library is a promising proposition because of reasonable performance characteristics (see the talk [Effects for Less](https://www.youtube.com/watch?v=0jI-AlWEwYI) for more information) and potential for good interoperability with the existing ecosystem. The second point is arguably the most important, because it allows focusing on things that matter instead of reinventing all kinds of wheels, hence being a necessary condition for broader adoption of the library. Unfortunately, the development of `eff` has stalled due to a [few](https://github.com/hasura/eff/issues/13) [subtle](https://github.com/hasura/eff/issues/7) [issues](https://github.com/hasura/eff/issues/12) related to its use of delimited continuations underneath. ### What about `mtl`? It's true that its "effects as classes" approach is widely known and used often. However: - `mtl` style effects are [slow](https://github.com/haskell-effectful/effectful/tree/master/benchmarks/README.md). - The majority of popular monad transformers (except `ReaderT`) used for effect implementations are rife with [subtle issues](https://github.com/haskell-effectful/effectful/tree/master/transformers.md). These are problematic enough that the [ReaderT design pattern](https://www.fpcomplete.com/blog/2017/06/readert-design-pattern/) was invented. Its fundamentals are solid, but it's not an effect system. A solution? Use the `ReaderT` pattern as a base and build around it to make an extensible effects library! This is where `effectful` comes in. The `Eff` monad it uses is essentially a `ReaderT` over `IO` on steroids, allowing us to extend its environment with data types representing effects. This concept is quite simple, so: - It's reasonably easy to understand what is going on under the hood. - The `Eff` monad being a reader allows for seamless interoperability with ubiquitous classes such as `MonadBaseControl` and `MonadUnliftIO` and solves [issues](https://github.com/haskell-effectful/effectful/tree/master/transformers.md) of monad transformers mentioned above. What is more, the `Eff` monad is concrete, so GHC has many possibilities for optimization, which results in a very fast code at a default optimization level. There is no need to explicitly mark functions with `INLINE` pragmas or enable additional optimization passes, it just works. ### Any downsides? As always, there's no free lunch. The `Eff` monad doesn't support effect handlers that require the ability to suspend or capture the rest of the computation and resume it later (potentially multiple times). This prevents `effectful` from providing (in particular): - A `NonDet` effect handler that executes multiple [`Alternative`](https://hackage.haskell.org/package/base/docs/Control-Applicative.html#t:Alternative) branches and collects their results. - A `Coroutine` effect. It needs to be noted however that such `NonDet` effect handler in existing libraries is [broken](https://github.com/lexi-lambda/eff/blob/8c4df4bf54faf22456354be18095b14825be5e85/notes/semantics-zoo.md) and none of the ones with support for higher order effects provide the `Coroutine` effect, so arguably it's not a big loss. If you need such capability in your application, there are well established libraries such as [conduit](https://hackage.haskell.org/package/conduit) or [list-t](https://hackage.haskell.org/package/list-t) that can be used with `effectful` without any hassle. ### Summary `effectful` is an extensible effects library that aims to be the replacement for: - The bare `ReaderT` pattern by being essentially its enriched version. - Monad transformer stacks typically encountered in the wild (i.e. consisting of a dozen of newtype'd `ExceptT`, `ReaderT`, `StateT` and `WriterT` transformers and their derivatives) by providing equivalent effects with improved semantics, performance, usability and making it easy to reuse them for your own effects. It doesn't try to make monad transformers obsolete, so you're free to use it with `ConduitT`, `ContT`, `ListT` etc. when necessary. ## Package structure The library is split among several packages: - The [`effectful-core`](https://hackage.haskell.org/package/effectful-core) package contains the core of the library along with basic effects. It aims for a small dependency footprint and provides building blocks for more advanced effects. - The [`effectful-plugin`](https://hackage.haskell.org/package/effectful-plugin) package provides an optional GHC plugin for improving disambiguation of effects (see [here](https://github.com/haskell-effectful/effectful/blob/master/effectful-plugin/README.md) for more information). - The [`effectful-th`](https://hackage.haskell.org/package/effectful-th) package provides utilities for generating bits of effect-related boilerplate via Template Haskell. - The [`effectful`](https://hackage.haskell.org/package/effectful) package re-exports public modules of `effectful-core` and additionally provides most features of the [`unliftio`](https://hackage.haskell.org/package/unliftio) package divided into appropriate effects. ## Examples For the examples see the *Introduction* sections of [`Effectful.Dispatch.Dynamic`](https://hackage.haskell.org/package/effectful-core/docs/Effectful-Dispatch-Dynamic.html) and [`Effectful.Dispatch.Static`](https://hackage.haskell.org/package/effectful-core/docs/Effectful-Dispatch-Static.html). ## Acknowledgements To all contributors of existing effect libraries - thank you for putting the time and effort to explore the space. In particular, conversations in issue trackers of `cleff`, `eff`, `freer-simple`, `fused-effects` and `polysemy` repositories were invaluable in helping me discover and understand challenges in the space. ### Resources Resources that inspired the rise of this library and had a lot of impact on its design. Talks: * [Effects for Less](https://www.youtube.com/watch?v=0jI-AlWEwYI) by Alexis King. * [Monad Transformer State](https://www.youtube.com/watch?v=KZIN9f9rI34) by Michael Snoyman. Blog posts: * [ReaderT design pattern](https://www.fpcomplete.com/blog/2017/06/readert-design-pattern/) by Michael Snoyman. * [Exceptions Best Practices](https://www.fpcomplete.com/blog/2016/11/exceptions-best-practices-haskell/) by Michael Snoyman. ----------------------------------------