polysemy
Higher-order, low-boilerplate free monads.
https://github.com/polysemy-research/polysemy#readme
| Version on this page: | 1.5.0.0 |
| LTS Haskell 22.39: | 1.9.2.0 |
| Stackage Nightly 2024-10-31: | 1.9.2.0@rev:1 |
| Latest on Hackage: | 1.9.2.0@rev:1 |
polysemy-1.5.0.0@sha256:7edb723e7f703fe273a40e43fe33f6e8f7659fe60759e8698def1481262d314d,6246Module documentation for 1.5.0.0
- Polysemy
- Polysemy.Async
- Polysemy.AtomicState
- Polysemy.Bundle
- Polysemy.Embed
- Polysemy.Error
- Polysemy.Fail
- Polysemy.Final
- Polysemy.Fixpoint
- Polysemy.IO
- Polysemy.Input
- Polysemy.Internal
- Polysemy.Internal.Bundle
- Polysemy.Internal.Combinators
- Polysemy.Internal.CustomErrors
- Polysemy.Internal.Fixpoint
- Polysemy.Internal.Forklift
- Polysemy.Internal.Kind
- Polysemy.Internal.NonDet
- Polysemy.Internal.Strategy
- Polysemy.Internal.TH
- Polysemy.Internal.Tactics
- Polysemy.Internal.Union
- Polysemy.Internal.Writer
- Polysemy.Law
- Polysemy.Membership
- Polysemy.NonDet
- Polysemy.Output
- Polysemy.Reader
- Polysemy.Resource
- Polysemy.State
- Polysemy.Tagged
- Polysemy.Trace
- Polysemy.View
- Polysemy.Writer
polysemy
Overview
polysemy is a library for writing high-power, low-boilerplate domain specific
languages. It allows you to separate your business logic from your
implementation details. And in doing so, polysemy lets you turn your
implementation code into reusable library code.
It’s like mtl but composes better, requires less boilerplate, and avoids the
O(n^2) instances problem.
It’s like freer-simple but more powerful.
It’s like fused-effects but with an order of magnitude less boilerplate.
Additionally, unlike mtl, polysemy has no functional dependencies, so you
can use multiple copies of the same effect. This alleviates the need for ~~ugly
hacks~~ band-aids like
classy lenses,
the
ReaderT pattern
and nicely solves the
trouble with typed errors.
Concerned about type inference? polysemy comes with its companion
polysemy-plugin,
which helps it perform just as well as mtl‘s! Add polysemy-plugin to your
package.yaml or .cabal file’s dependencies section to use. Then turn it on with a pragma in your source files:
{-# OPTIONS_GHC -fplugin=Polysemy.Plugin #-}
Or by adding -fplugin=Polysemy.Plugin to your package.yaml/.cabal file ghc-options section.
Features
- Effects are higher-order, meaning it’s trivial to write
bracketandlocalas first-class effects. - Effects are low-boilerplate, meaning you can create new effects in a single-digit number of lines. New interpreters are nothing but functions and pattern matching.
Tutorials and Resources
- Raghu Kaippully wrote a beginner friendly tutorial.
- Paweł Szulc gave a great talk on how to start thinking about polysemy.
- Sandy Maguire, the author, gave a talk on some of the performance implementation
- He has also written some blog posts on other implementation details.
Examples
Make sure you read the Necessary Language Extensions before trying these yourself!
Teletype effect:
{-# LANGUAGE TemplateHaskell, LambdaCase, BlockArguments, GADTs
, FlexibleContexts, TypeOperators, DataKinds, PolyKinds #-}
import Polysemy
import Polysemy.Input
import Polysemy.Output
data Teletype m a where
ReadTTY :: Teletype m String
WriteTTY :: String -> Teletype m ()
makeSem ''Teletype
teletypeToIO :: Member (Embed IO) r => Sem (Teletype ': r) a -> Sem r a
teletypeToIO = interpret \case
ReadTTY -> embed getLine
WriteTTY msg -> embed $ putStrLn msg
runTeletypePure :: [String] -> Sem (Teletype ': r) a -> Sem r ([String], a)
runTeletypePure i
-- For each WriteTTY in our program, consume an output by appending it to the
-- list in a ([String], a)
= runOutputMonoid pure
-- Treat each element of our list of strings as a line of input
. runInputList i
-- Reinterpret our effect in terms of Input and Output
. reinterpret2 \case
ReadTTY -> maybe "" id <$> input
WriteTTY msg -> output msg
echo :: Member Teletype r => Sem r ()
echo = do
i <- readTTY
case i of
"" -> pure ()
_ -> writeTTY i >> echo
-- Let's pretend
echoPure :: [String] -> Sem '[] ([String], ())
echoPure = flip runTeletypePure echo
pureOutput :: [String] -> [String]
pureOutput = fst . run . echoPure
-- echo forever
main :: IO ()
main = runM . teletypeToIO $ echo
Resource effect:
{-# LANGUAGE TemplateHaskell, LambdaCase, BlockArguments, GADTs
, FlexibleContexts, TypeOperators, DataKinds, PolyKinds
, TypeApplications #-}
import Polysemy
import Polysemy.Input
import Polysemy.Output
import Polysemy.Error
import Polysemy.Resource
-- Using Teletype effect from above
data CustomException = ThisException | ThatException deriving Show
program :: Members '[Resource, Teletype, Error CustomException] r => Sem r ()
program = catch @CustomException work \e -> writeTTY $ "Caught " ++ show e
where
work = bracket (readTTY) (const $ writeTTY "exiting bracket") \input -> do
writeTTY "entering bracket"
case input of
"explode" -> throw ThisException
"weird stuff" -> writeTTY input *> throw ThatException
_ -> writeTTY input *> writeTTY "no exceptions"
main :: IO (Either CustomException ())
main
= runFinal
. embedToFinal @IO
. resourceToIOFinal
. errorToIOFinal @CustomException
. teletypeToIO
$ program
Easy.
Friendly Error Messages
Free monad libraries aren’t well known for their ease-of-use. But following in
the shoes of freer-simple, polysemy takes a serious stance on providing
helpful error messages.
For example, the library exposes both the interpret and interpretH
combinators. If you use the wrong one, the library’s got your back:
runResource
:: forall r a
. Sem (Resource ': r) a
-> Sem r a
runResource = interpret $ \case
...
makes the helpful suggestion:
• 'Resource' is higher-order, but 'interpret' can help only
with first-order effects.
Fix:
use 'interpretH' instead.
• In the expression:
interpret
$ \case
Likewise it will give you tips on what to do if you forget a TypeApplication
or forget to handle an effect.
Don’t like helpful errors? That’s OK too - just flip the error-messages
flag and enjoy the raw, unadulterated fury of the typesystem.
Necessary Language Extensions
You’re going to want to stick all of this into your package.yaml file.
ghc-options: -O2 -flate-specialise -fspecialise-aggressively
default-extensions:
- DataKinds
- FlexibleContexts
- GADTs
- LambdaCase
- PolyKinds
- RankNTypes
- ScopedTypeVariables
- TypeApplications
- TypeOperators
- TypeFamilies
Building with Nix
The project provides a basic nix config for building in development.
It is defined as a flake with backwards compatibility stubs in default.nix and shell.nix.
To build the main library or plugin:
nix-build -A polysemy
nix-build -A polysemy-plugin
Flake version:
nix build
nix build '.#polysemy-plugin'
To inspect a dependency:
nix repl
> p = import ./.
> p.unagi-chan
To run a shell command with all dependencies in the environment:
nix-shell --pure
nix-shell --pure --run 'cabal v2-haddock polysemy'
nix-shell --pure --run ghcid
Flake version:
nix develop -i # just enter a shell
nix develop -i -c cabal v2-haddock polysemy
nix develop -i -c haskell-language-server-wrapper # start HLS for your IDE
What about performance? (TL;DR)
Previous versions of this README mentioned the library being
zero-cost, as in having no visible effect on performance. While this was
the original motivation and main factor in implementation of this library, it
turned out that
optimizations we depend on,
while showing amazing results in small benchmarks, don’t work in
bigger, multi-module programs,
what greatly limits their usefulness.
What’s more interesting though is that
this isn’t a polysemy-specific problem - basically all popular effects
libraries ended up being bitten by variation of this problem in one way or
another, resulting in
visible drop in performance
compared to equivalent code without use of effect systems.
Why did nobody notice this?
One factor may be that while GHC’s optimizer is very, very good in general in optimizing all sorts of abstraction, it’s relatively complex and hard to predict - authors of libraries may have not deemed location of code relevant, even though it had big effect at the end. The other is that maybe it doesn’t matter as much as we like to tell ourselves. Many of these effects libraries are used in production and they’re doing just fine, because maximum performance usually matters in small, controlled areas of code, that often don’t use features of effect systems at all.
What can we do about this?
Luckily, the same person that uncovered this problems proposed a
solution -
set of primops that will allow interpretation of effects at runtime, with
minimal overhead. It’s not zero-cost as we hoped for with polysemy at
first, but it should have negligible effect on performance in real life and
compared to current solutions, it should be much more predictable and even
resolve some problems with behaviour of
specific effects.
You can try out experimental library that uses proposed features
here.
When it comes to polysemy, once GHC proposal lands, we consider option of
switching to implementation based on it. This will probably require some
breaking changes, but should resolve performance issues and maybe even make
implementation of higher-order effects easier.
If you’re interested in more details, see
Alexis King’s
talk about the problem,
Sandy Maguire’s
followup about how it relates to polysemy and
GHC proposal that
adds features needed for new type of implementation.
TL;DR
Basically all current effects libraries (including polysemy and
even mtl) got performance wrong - but, there’s ongoing work on extending
GHC with features that will allow for creation of effects implementation with
stable and strong performance. It’s what polysemy may choose at some point,
but it will probably require few breaking changes.
Acknowledgements, citations, and related work
The following is a non-exhaustive list of people and works that have had a
significant impact, directly or indirectly, on polysemy’s design and
implementation:
- Oleg Kiselyov, Amr Sabry, and Cameron Swords — Extensible Effects: An alternative to monad transfomers
- Oleg Kiselyov and Hiromi Ishii — Freer Monads, More Extensible Effects
- Nicolas Wu, Tom Schrijvers, and Ralf Hinze — Effect Handlers in Scope
- Nicolas Wu and Tom Schrijvers — Fusion for Free: Efficient Algebraic Effect Handlers
- Andy Gill and other contributors —
mtl - Rob Rix, Patrick Thomson, and other contributors —
fused-effects - Alexis King and other contributors —
freer-simple