基本上我们需要做的就是重新实现sequence
,但是用zipSinks
而不是原来的排序操作:
import Data.Conduit as C
import Data.Conduit.List as C
import Data.Conduit.Util as C
fromPairs
:: (Functor f)
=> f [a] -- ^ an empty list to start with
-> (f a -> f [a] -> f (a, [a])) -- ^ a combining function
-> [f a] -- ^ input list
-> f [a] -- ^ combined list
fromPairs empty comb = g
where
g [] = empty
g (x:xs) = uncurry (:) `fmap` (x `comb` g xs)
现在创建broadcast
只是适用fromPairs
于zipSinks
:
broadcast :: (Monad m) => [Sink a m b] -> Sink a m [b]
broadcast = fromPairs (return []) zipSinks
我们可以做类似的事情
main = C.sourceList [1..100] $$ broadcast [C.fold (+) 0, C.fold (*) 1]
更新:我们可以看到这fromPairs
看起来很公平 sequenceA
,因此我们可以进一步推动这个想法。让我们在管道上定义一个 zipping applicative functor,类似于ZipList
:
import Control.Applicative
import Control.Monad
import Data.Conduit
import Data.Conduit.Util
import Data.Traversable (Traversable(..), sequenceA)
newtype ZipSink i m r = ZipSink { getZipSink :: Sink i m r }
instance Monad m => Functor (ZipSink i m) where
fmap f (ZipSink x) = ZipSink (liftM f x)
instance Monad m => Applicative (ZipSink i m) where
pure = ZipSink . return
(ZipSink f) <*> (ZipSink x) =
ZipSink $ liftM (uncurry ($)) $ zipSinks f x
然后broadcast
变得很简单
broadcast :: (Traversable f, Monad m) => f (Sink i m r) -> Sink i m (f r)
broadcast = getZipSink . sequenceA . fmap ZipSink