varying-0.8.0.0: src/Control/Varying/Spline.hs
-- |
-- Module: Control.Varying.Spline
-- Copyright: (c) 2015 Schell Scivally
-- License: MIT
-- Maintainer: Schell Scivally <schell@takt.com>
--
-- Using splines we can easily create continuous streams from discontinuous
-- streams. A spline is a monadic layer on top of event streams which are only
-- continuous over a certain domain. The idea is that we use a monad to
-- "run a stream switched by events". This means taking two streams - an output
-- stream and an event stream, and combining them into a temporarily producing
-- stream. Once that "stream pair" inhibits, the computation completes and
-- returns a result value. That result value is then used to determine the next
-- spline in the sequence.
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE LambdaCase #-}
module Control.Varying.Spline
( -- * Spline
Spline
-- * Spline Transformer
, SplineT(..)
-- * Creating streams from splines
, outputStream
-- * Creating splines from streams
, fromEvent
, untilProc
, whileProc
, untilEvent
, untilEvent_
, _untilEvent
, _untilEvent_
-- * Other runners
, scanSpline
-- * Combinators
, step
, race
, raceAny
, merge
, capture
, mapOutput
, adjustInput
-- * Hand Proofs of the Monad laws
-- $proofs
) where
import Control.Monad
import Control.Monad.IO.Class
import Control.Monad.Trans.Class
import Control.Varying.Core
import Control.Varying.Event
import Data.Functor.Identity
-- | 'SplineT' shares all the types of 'VarT' and adds a result value. Its
-- monad, input and output types (@m@, @a@ and @b@, respectively) represent the
-- same parameters in 'VarT'. A spline adds a result type which represents the
-- monadic computation's result value.
--
-- A spline either concludes in a result or it produces an output value and
-- another spline. This makes it a stream that eventually ends. We can use this
-- to set up our streams in a monadic fashion, where the end result of one spline
-- can be used to determine the next spline to run. Using 'outputStream' we can
-- then fuse these piecewise continuous (but otherwise discontinuous) streams
-- into one continuous stream of type @VarT m a b@. Alternatively you can simply
-- poll the network until it ends using 'runSplineT'.
newtype SplineT a b m c =
SplineT { runSplineT :: a -> m (Either c (b, SplineT a b m c)) }
-- | A spline is a functor by applying the function to the result of the
-- spline. This does just what you would expect of other Monads such as 'StateT'
-- or 'Maybe'.
--
-- >>> :{
-- let s0 = pure "first" `untilEvent` (1 >>> after 2)
-- s = do str <- fmap show s0
-- step str
-- v = outputStream s ""
-- in testVarOver v [(),()]
-- >>> :}
-- "first"
-- "(\"first\",2)"
instance Monad m => Functor (SplineT a b m) where
fmap f (SplineT s) = SplineT $ s >=> \case
Left c -> return $ Left $ f c
Right (b, s1) -> return $ Right (b, fmap f s1)
-- | A spline responds to bind by running until it concludes in a value,
-- then uses that value to run the next spline.
--
-- Note - checkout the <$proofs proofs>
instance Monad m => Monad (SplineT a b m) where
return = SplineT . const . return . Left
(SplineT s0) >>= f = SplineT $ g s0
where g s a = do e <- s a
case e of
Left c -> runSplineT (f c) a
Right (b, SplineT s1) -> return $ Right (b, SplineT $ g s1)
-- | A spline responds to 'pure' by returning a spline that never produces an
-- output value and immediately returns the argument. It responds to '<*>' by
-- applying the left arguments result value (the function) to the right
-- arguments result value (the argument), sequencing them both in serial.
--
-- @
-- pure = return
-- sf <*> sx = do
-- f <- sf
-- x <- sx
-- return $ f x
-- @
instance Monad m => Applicative (SplineT a b m) where
pure = return
sf <*> sx = do
f <- sf
f <$> sx
-- | A spline is a transformer by running the effect and immediately concluding,
-- using the effect's result as the result value.
--
-- >>> :{
-- let s = do () <- lift $ print "Hello"
-- step 2
-- v = outputStream s 0
-- in testVarOver v [()]
-- >>> :}
-- "Hello"
-- 2
instance MonadTrans (SplineT a b) where
lift f = SplineT $ const $ Left <$> f
-- | A spline can do IO if its underlying monad has a MonadIO instance. It
-- takes the result of the IO action as its immediate return value.
instance (Monad m, MonadIO m) => MonadIO (SplineT a b m) where
liftIO = lift . liftIO
-- | A SplineT monad parameterized with Identity that takes input of type @a@,
-- output of type @b@ and a result value of type @c@.
type Spline a b c = SplineT a b Identity c
-- | Permute a spline into one continuous stream. Since a spline is not
-- guaranteed to be defined over any domain (specifically on its edges), this
-- function takes a default value to use as the "last known value".
--
-- >>> :{
-- let s :: SplineT () String IO ()
-- s = do first <- pure "accumulating until 3" `_untilEvent` (1 >>> after 3)
-- secnd <- pure "accumulating until 4" `_untilEvent` (1 >>> after 4)
-- if first + secnd == 7
-- then step "done"
-- else step "something went wrong!"
-- v = outputStream s ""
-- in testVarOver v $ replicate 6 ()
-- >>> :}
-- "accumulating until 3"
-- "accumulating until 3"
-- "accumulating until 4"
-- "accumulating until 4"
-- "accumulating until 4"
-- "done"
outputStream :: Monad m
=> SplineT a b m c -> b -> VarT m a b
outputStream (SplineT s0) b0 = VarT $ f s0 b0
where f s b a = do e <- s a
case e of
Left _ -> return (b, done b)
Right (b1, SplineT s1) -> return (b1, VarT $ f s1 b1)
-- | Run the spline over the input values, gathering the output values in a
-- list.
scanSpline :: Monad m
=> SplineT a b m c -> b -> [a] -> m [b]
scanSpline s b = fmap fst <$> scanVar (outputStream s b)
-- | Create a spline from an event stream.
fromEvent :: Monad m => VarT m a (Event b) -> SplineT a (Event b) m b
fromEvent ve = SplineT $ \a -> do
(e, ve1) <- runVarT ve a
return $ case e of
Just b -> Left b
Nothing -> Right (Nothing, fromEvent ve1)
-- | Create a spline from an event stream. Outputs 'noevent' until the event
-- stream procs, at which point the spline concludes with the event value.
untilProc :: Monad m => VarT m a (Event b) -> SplineT a (Event b) m b
untilProc ve = SplineT $ runVarT ve >=> return . \case
(Just b, _) -> Left b
(Nothing, ve1) -> Right (Nothing, untilProc ve1)
-- | Create a spline from an event stream. Outputs @b@ until the event stream
-- inhibits, at which point the spline concludes with @()@.
whileProc :: Monad m => VarT m a (Event b) -> SplineT a b m ()
whileProc ve = SplineT $ runVarT ve >=> return . \case
(Just b, ve1) -> Right (b, whileProc ve1)
(Nothing, _) -> Left ()
-- | Create a spline from a stream and an event stream. The spline
-- uses the stream's values as its own output values. The spline will run until
-- the event stream produces an event, at that point the last known output
-- value and the event value are tupled and returned as the spline's result.
untilEvent :: Monad m
=> VarT m a b -> VarT m a (Event c) -> SplineT a b m (b,c)
untilEvent v ve = SplineT $ f ((,) <$> v <*> ve)
where f vve a = do t <-runVarT vve a
return $ case t of
((b, Nothing), vve1) -> Right (b, SplineT $ f vve1)
((b, Just c), _) -> Left (b, c)
-- | A variant of 'untilEvent' that results in the last known output value.
untilEvent_ :: Monad m
=> VarT m a b -> VarT m a (Event c) -> SplineT a b m b
untilEvent_ v ve = fst <$> untilEvent v ve
-- | A variant of 'untilEvent' that results in the event steam's event value.
_untilEvent :: Monad m
=> VarT m a b -> VarT m a (Event c) -> SplineT a b m c
_untilEvent v ve = snd <$> untilEvent v ve
-- | A variant of 'untilEvent' that discards both the output and event values.
_untilEvent_ :: Monad m
=> VarT m a b -> VarT m a (Event c) -> SplineT a b m ()
_untilEvent_ v ve = void $ _untilEvent v ve
-- | Run two splines in parallel, combining their output. Return the result of
-- the spline that concludes first. If they conclude at the same time the result
-- is taken from the left spline.
--
-- >>> :{
-- let s1 = pure "route " `_untilEvent` (1 >>> after 2)
-- s2 = pure 666 `_untilEvent` (1 >>> after 3)
-- s = do winner <- race (\l r -> l ++ show r) s1 s2
-- step $ show winner
-- v = outputStream s ""
-- in testVarOver v [(),(),()]
-- >>> :}
-- "route 666"
-- "Left 2"
-- "Left 2"
race :: Monad m
=> (a -> b -> c) -> SplineT i a m d -> SplineT i b m e
-> SplineT i c m (Either d e)
race f sa0 sb0 = SplineT (g sa0 sb0)
where g sa sb i = runSplineT sa i >>= \case
Left d -> return $ Left $ Left d
Right (a, sa1) -> runSplineT sb i >>= \case
Left e -> return $ Left $ Right e
Right (b, sb1) -> return $ Right (f a b, SplineT $ g sa1 sb1)
-- | Run many splines in parallel, combining their output with 'mappend'.
-- Returns the result of the spline that concludes first. If any conclude at the
-- same time the leftmost result will be returned.
--
-- >>> :{
-- let ss = [ pure "hey " `_untilEvent` (1 >>> after 5)
-- , pure "there" `_untilEvent` (1 >>> after 3)
-- , pure "!" `_untilEvent` (1 >>> after 2)
-- ]
-- s = do winner <- raceAny ss
-- step $ show winner
-- v = outputStream s ""
-- in testVarOver v [(),()]
-- >>> :}
-- "hey there!"
-- "2"
raceAny :: (Monad m, Monoid b)
=> [SplineT a b m c] -> SplineT a b m c
raceAny [] = pure mempty `_untilEvent` never
raceAny ss = SplineT $ f [] (map runSplineT ss) mempty
where f ys [] b _ = return $ Right (b, SplineT $ f [] ys mempty)
f ys (v:vs) b a = v a >>= \case
Left c -> return $ Left c
Right (b1, s) -> f (ys ++ [runSplineT s]) vs (b <> b1) a
-- | Run two splines in parallel, combining their output. Once both splines
-- have concluded, return the results of each in a tuple.
--
-- >>> :{
-- let s1 = pure "hey " `_untilEvent` (1 >>> after 3)
-- s2 = pure "there!" `_untilEvent` (1 >>> after 2)
-- s = do tuple <- merge (++) s1 s2
-- step $ show tuple
-- v = outputStream s ""
-- in testVarOver v [(),(),()]
-- >>> :}
-- "hey there!"
-- "hey "
-- "(3,2)"
merge :: Monad m
=> (b -> b -> b)
-> SplineT a b m c -> SplineT a b m d -> SplineT a b m (c, d)
merge apnd s1 s2 = SplineT $ f s1 s2
where r c d = return $ Left (c, d)
fr c vb = runSplineT vb >=> \case
Left d -> r c d
Right (b, vb1) -> return $ Right (b, SplineT $ fr c vb1)
fl d va = runSplineT va >=> \case
Left c -> r c d
Right (b, va1) -> return $ Right (b, SplineT $ fl d va1)
f va vb a = runSplineT va a >>= \case
Left c -> fr c vb a
Right (b1, va1) -> runSplineT vb a >>= \case
Left d -> return $ Right (b1, SplineT $ fl d va1)
Right (b2, vb1) -> return $ Right (apnd b1 b2, SplineT $ f va1 vb1)
-- | Capture the spline's last output value and tuple it with the
-- spline's result. This is helpful when you want to sample the last
-- output value in order to determine the next spline to sequence.
--
-- The tupled value is returned in as a 'Maybe b' since it is not
-- guaranteed that an output value is produced before a Spline concludes.
--
-- >>> :{
-- let
-- s :: MonadIO m => SplineT () Int m String
-- s = do
-- (mayX, boomStr) <-
-- capture
-- $ do
-- step 0
-- step 1
-- step 2
-- return "boom"
-- -- x is 2, but 'capture' can't be sure of that
-- maybe
-- (return "Failure")
-- ( (>> return boomStr)
-- . step
-- . (+1)
-- )
-- mayX
-- in
-- testVarOver (outputStream s 666) [(),(),(),()]
-- >>> :}
-- 0
-- 1
-- 2
-- 3
capture
:: Monad m
=> SplineT a b m c
-> SplineT a b m (Maybe b, c)
capture = SplineT . f Nothing
where f mb s = runSplineT s >=> return . \case
Left c -> Left (mb, c)
Right (b, s1) -> Right (b, SplineT $ f (Just b) s1)
-- | Produce the argument as an output value exactly once.
--
-- >>> :{
-- let s = do step "hi"
-- step "there"
-- step "friend"
-- in testVarOver (outputStream s "") [1,2,3,4]
-- >>> :}
-- "hi"
-- "there"
-- "friend"
-- "friend"
step :: Monad m => b -> SplineT a b m ()
step b = SplineT $ const $ return $ Right (b, return ())
-- | Map the output value of a spline.
--
-- >>> :{
-- let s = mapOutput (pure show) $ step 1 >> step 2 >> step 3
-- in testVarOver (outputStream s "") [(),(),()]
-- >>> :}
-- "1"
-- "2"
-- "3"
mapOutput :: Monad m
=> VarT m a (b -> t) -> SplineT a b m c -> SplineT a t m c
mapOutput vf0 s0 = SplineT $ g vf0 s0
where g vf s a = do
(f, vf1) <- runVarT vf a
flip fmap (runSplineT s a) $ \case
Left c -> Left c
Right (b, s1) -> Right (f b, SplineT $ g vf1 s1)
-- | Map the input value of a spline.
adjustInput :: Monad m
=> VarT m a (a -> r) -> SplineT r b m c -> SplineT a b m c
adjustInput vf0 s = SplineT $ g vf0 s
where g vf sx a = do
(f, vf1) <- runVarT vf a
flip fmap (runSplineT sx (f a)) $ \case
Left c -> Left c
Right (b, sx1) -> Right (b, SplineT $ g vf1 sx1)
--------------------------------------------------------------------------------
-- $proofs
-- ==Left Identity
-- > k =<< return c = k c
--
-- > -- Definition of =<<
-- > fix (\f s ->
-- > SplineT (\a ->
-- > runSplineT s a >>= \case
-- > Left c -> runSplineT (k c) a
-- > Right s' -> return (Right (fmap f s')))) (return c)
--
-- > -- Definition of fix
-- > (\s ->
-- > SplineT (\a ->
-- > runSplineT s a >>= \case
-- > Left c -> runSplineT (k c) a
-- > Right s' -> return (Right (fmap (k =<<) s')))) (return c)
--
-- > -- Application
-- > SplineT (\a ->
-- > runSplineT (return c) a >>= \case
-- > Left c -> runSplineT (k c) a
-- > Right s' -> return (Right (fmap (k =<<) s')))
--
-- > -- Definition of return
-- > SplineT (\a ->
-- > runSplineT (SplineT (\_ -> return (Left c))) a >>= \case
-- > Left c -> runSplineT (k c) a
-- > Right s' -> return (Right (fmap (k =<<) s')))
--
-- > -- Newtype
-- > SplineT (\a ->
-- > (\_ -> return (Left c)) a >>= \case
-- > Left c -> runSplineT (k c) a
-- > Right s' -> return (Right (fmap (k =<<) s')))
--
-- > -- Application
-- > SplineT (\a ->
-- > return (Left c) >>= \case
-- > Left c -> runSplineT (k c) a
-- > Right s' -> return (Right (fmap (k =<<) s')))
--
-- > -- return x >>= f = f x
-- > SplineT (\a ->
-- > case (Left c) of
-- > Left c -> runSplineT (k c) a
-- > Right s' -> return (Right (fmap (k =<<) s')))
--
-- > -- Case evaluation
-- > SplineT (\a -> runSplineT (k c) a)
--
-- > -- Eta reduction
-- > SplineT (runSplineT (k c))
--
-- > -- Newtype
-- > k c
--
-- ==Right Identity
-- > return =<< m = m
--
-- > -- Definition of =<<
-- > fix (\f s ->
-- > SplineT (\a ->
-- > runSplineT s a >>= \case
-- > Left c -> runSplineT (return c) a
-- > Right s' -> return (Right (fmap f s')))) m
--
-- > -- Definition of fix
-- > (\s ->
-- > SplineT (\a ->
-- > runSplineT s a >>= \case
-- > Left c -> runSplineT (return c) a
-- > Right s' -> return (Right (fmap (return =<<) s')))) m
--
-- > -- Application
-- > SplineT (\a ->
-- > runSplineT m a >>= \case
-- > Left c -> runSplineT (return c) a
-- > Right s' -> return (Right (fmap (return =<<) s')))
--
-- > -- Definition of return
-- > SplineT (\a ->
-- > runSplineT m a >>= \case
-- > Left c -> runSplineT (SplineT (\_ -> return (Left c))) a
-- > Right s' -> return (Right (fmap (return =<<) s')))
--
-- > -- Newtype
-- > SplineT (\a ->
-- > runSplineT m a >>= \case
-- > Left c -> (\_ -> return (Left c)) a
-- > Right s' -> return (Right (fmap (return =<<) s')))
--
-- > -- Application
-- > SplineT (\a ->
-- > runSplineT m a >>= \case
-- > Left c -> return (Left c)
-- > Right s' -> return (Right (fmap (return =<<) s')))
--
-- > -- m >>= return . f = fmap f m
-- > SplineT (\a -> fmap (either id (fmap (return =<<))) (runSplineT m a))
--
-- > -- Coinduction
-- > SplineT (\a -> fmap (either id (fmap id)) (runSplineT m a))
--
-- > -- fmap id = id
-- > SplineT (\a -> fmap (either id id) (runSplineT m a))
--
-- > -- either id id = id
-- > SplineT (\a -> fmap id (runSplineT m a))
--
-- > -- fmap id = id
-- > SplineT (\a -> runSplineT m a)
--
-- > -- Eta reduction
-- > SplineT (runSplineT m)
--
-- > -- Newtype
-- > m
--
-- ==Application
-- > (m >>= f) >>= g = m >>= (\x -> f x >>= g)
-- TODO: Finish the rest of the hand proofs