distribute Distribute Proxy over a monad transformer
:: a typeCtrl KGHC 9.10.3 · lts/ghc-9.10.x · 248f8f0 · 2026-10-05
Modulepipes-4.3.16Haskell2010
Many actions in base monad transformers cannot be automatically lifted. These functions lift these remaining actions so that they work in the Proxy monad transformer.
See the mini-tutorial at the bottom of this module for example code and typical use cases where this module will come in handy.
distribute Distribute Proxy over a monad transformer
Wrap the base monad in ExceptT
Run ExceptT in the base monad
Catch an error in the base monad
Catch an error using a catch function for the base monad
Wrap the base monad in MaybeT
Run MaybeT in the base monad
Wrap the base monad in ReaderT
Run ReaderT in the base monad
Wrap the base monad in StateT
Run StateT in the base monad
Evaluate StateT in the base monad
Execute StateT in the base monad
Note that runWriterP and execWriterP will keep the accumulator in weak-head-normal form so that folds run in constant space when possible.
This means that until transformers adds a truly strict WriterT, you
should consider unwrapping WriterT first using runWriterP or
execWriterP before running your Proxy. You will get better performance
this way and eliminate space leaks if your accumulator doesn't have any lazy
fields.
Wrap the base monad in WriterT
Run WriterT in the base monad
Execute WriterT in the base monad
Wrap the base monad in RWST
Run RWST in the base monad
Evaluate RWST in the base monad
Execute RWST in the base monad
Probably the most useful functionality in this module is lifted error
handling. Suppose that you have a Pipes.Pipe whose base monad can fail
using ExceptT:
import Control.Monad.Trans.Error
import Pipes
example :: Monad m => Pipe Int Int (ExceptT String m) r
example = for cat $ \n ->
if n == 0
then lift $ throwError "Zero is forbidden"
else yield nWithout the tools in this module you cannot recover from any potential error until after you compose and run the pipeline:
import qualified Pipes.Prelude as PrunExceptT $ runEffect $ P.readLn >-> example >-> P.print42<Enter>421<Enter>10<Enter>Zero is forbidden
This module provides catchError, which lets you catch and recover from
errors inside the Pipe:
import qualified Pipes.Lift as Lift
caught :: Pipe Int Int (ExceptT String IO) r
caught = example `Lift.catchError` \str -> do
liftIO (putStrLn str)
caughtThis lets you resume streaming in the face of errors raised within the base monad:
runExceptT $ runEffect $ P.readLn >-> caught >-> P.print0<Enter>Zero is forbidden42<Enter>420<Enter>Zero is forbidden1<Enter>1...
Another common use case is running a base monad before running the pipeline.
For example, the following contrived Producer uses StateT gratuitously
to increment numbers:
import Control.Monad (forever)
import Control.Monad.Trans.State.Strict
import Pipes
numbers :: Monad m => Producer Int (StateT Int m) r
numbers = forever $ do
n <- lift get
yield n
lift $ put $! n + 1You can run the StateT monad by supplying an initial state, before you
ever compose the Producer:
import Pipes.Lift
naturals :: Monad m => Producer Int m r
naturals = evalStateP 0 numbersThis deletes StateT from the base monad entirely, give you a completely
pure Pipes.Producer:
Pipes.Prelude.toList naturals[0,1,2,3,4,5,6...]
Note that the convention for the StateT run functions is backwards from
transformers for convenience: the initial state is the first argument.
All of these functions internally use distribute, which can pull out most monad transformers from the base monad. For example, evalStateP is defined in terms of distribute:
evalStateP s p = evalStateT (distribute p) sTherefore you can use distribute to run other monad transformers, too, as
long as they implement the MFunctor type class from the mmorph library.