| Safe Haskell | Safe |
|---|---|
| Language | Haskell2010 |
Control.Pipe
Description
Pipe is a monad transformer that enriches the base monad with the ability
to await or yield data to and from other Pipes.
For an extended tutorial, consult Control.Pipe.Tutorial.
- data PipeF a b x
- type Pipe a b = FreeT (PipeF a b)
- type Producer b = Pipe () b
- type Consumer b = Pipe b Void
- type Pipeline = Pipe () Void
- await :: Monad m => Pipe a b m a
- yield :: Monad m => b -> Pipe a b m ()
- pipe :: Monad m => (a -> b) -> Pipe a b m r
- (<+<) :: Monad m => Pipe b c m r -> Pipe a b m r -> Pipe a c m r
- (>+>) :: Monad m => Pipe a b m r -> Pipe b c m r -> Pipe a c m r
- idP :: Monad m => Pipe a a m r
- newtype PipeC m r a b = PipeC {}
- runPipe :: Monad m => Pipeline m r -> m r
Introduction
I completely expose the Pipe data type and internals in order to encourage
people to write their own Pipe functions. This does not compromise the
correctness or safety of the library at all and you can feel free to use the
constructors directly without violating any laws or invariants.
I promote using the Monad and Category instances to build and compose
pipes, but this does not mean that they are the only option. In fact, any
combinator provided by other iteratee libraries can be recreated for pipes,
too. However, this core library does not provide many of the functions
found in other libraries in order to encourage people to find principled and
theoretically grounded solutions rather than devise ad-hoc solutions
characteristic of other iteratee implementations.
Types
The Pipe type is strongly inspired by Mario Blazevic's Coroutine type in
his concurrency article from Issue 19 of The Monad Reader and is formulated
in the exact same way.
His Coroutine type is actually a free monad transformer (i.e. FreeT)
and his InOrOut functor corresponds to PipeF.
The base functor for the Pipe type
type Pipe a b = FreeT (PipeF a b) Source #
The base type for pipes
a- The type of input received from upstream pipesb- The type of output delivered to downstream pipesm- The base monadr- The type of the return value
Create Pipes
yield and await are the only two primitives you need to create pipes.
Since Pipe a b m is a monad, you can assemble yield and await
statements using ordinary do notation. Since Pipe a b is also a monad
transformer, you can use lift to invoke the base monad. For example, you
could write a pipe stage that requests permission before forwarding any
output:
check :: (Show a) => Pipe a a IO r
check = forever $ do
x <- await
lift $ putStrLn $ "Can '" ++ (show x) ++ "' pass?"
ok <- read <$> lift getLine
when ok (yield x)await :: Monad m => Pipe a b m a Source #
Wait for input from upstream.
await blocks until input is available from upstream.
pipe :: Monad m => (a -> b) -> Pipe a b m r Source #
Convert a pure function into a pipe
pipe f = forever $ do
x <- await
yield (f x)Compose Pipes
Pipes form a Category, meaning that you can compose Pipes and also
define an identity Pipe.
Pipe composition binds the output of the upstream Pipe to the input of
the downstream Pipe. Like Haskell functions, Pipes are lazy, meaning
that upstream Pipes are only evaluated as far as necessary to generate
enough input for downstream Pipes. If any Pipe terminates, it also
terminates every Pipe composed with it.
If you want to define a proper Category instance you have to wrap the
Pipe type using the newtype PipeC in order to rearrange the type
variables.
This means that if you want to compose pipes using (.) from the Category
type class, you end up with a newtype mess:
unPipeC (PipeC p1 . PipeC p2)
You can avoid this by using convenient operators that do this newtype wrapping and unwrapping for you:
p1 <+< p2 = unPipeC $ PipeC p1 . PipeC p2 idP = unPipeC id
The Category instance obeys the Category laws. In other words:
- Composition is truly associative. The result of composition produces the
exact same composite
Piperegardless of how you group composition, so it is perfectly safe to omit the parentheses altogether:
(p1 <+< p2) <+< p3 = p1 <+< (p2 <+< p3) = p1 <+< p2 <+< p3
p <+< idP = p idP <+< p = p
The Category laws are "correct by construction", meaning that you cannot
break them despite the library's internals being fully exposed. The above
equalities are true using the strongest denotational semantics possible in
Haskell, namely that both sides of the equals sign correspond to the exact
same value in Haskell, constructor-for-constructor, value-for-value. You
cannot create a function that can distinguish the results.
Actually, all other class instances in this library provide the same strong
guarantees for their corresponding laws. I only emphasize the guarantee for
the Category instance because it is one of the most distinguishing
features of this library, making it far more extensible than other
implementations.
(>+>) :: Monad m => Pipe a b m r -> Pipe b c m r -> Pipe a c m r infixl 9 Source #
Corresponds to (>>>) from Control.Category
Run Pipes
Note that you can also unwrap a Pipe a single step at a time using
runFreeT (since Pipe is just a type synonym for a free monad
transformer). This will take you to the next external await or yield
statement.
This means that a closed Pipeline will unwrap to a single step, in which
case you would have been better served by runPipe. This directly follows
from the Category laws, which guarantee that you cannot resolve a
composite pipe into its component pipes. When you compose two pipes, the
internal await and yield statements fuse and completely disappear.
runFreeT is ideal for more advanced users who wish to write their own
Pipe functions while waiting for me to find more elegant solutions.
runPipe :: Monad m => Pipeline m r -> m r Source #
Run the Pipe monad transformer, converting it back into the base monad.
runPipe imposes two conditions:
- The pipe's input, if any, is trivially satisfiable (i.e.
()) - The pipe does not
yieldany output
The latter restriction makes runPipe less polymorphic than it could be,
and I settled on the restriction for three reasons:
- It prevents against accidental data loss.
- It prevents wastefully draining a scarce resource by gratuitously demanding values from it.
- It encourages an idiomatic pipe programming style where input is consumed
in a structured way using a
Consumer.
If you believe that discarding output is the appropriate behavior, you can specify this by explicitly feeding your output to a pipe that gratuitously discards it:
runPipe $ forever await <+< p