How to carry non-Acidic value in Happstack? - haskell

I've read Happstack crashcourse. My web server has almost exact way described in the section Passing multiple AcidState handles around transparently
Problem I have is that, I have value which is non-acidic, but want to access within the Happstack application. Specifically speaking, "PushManager" from push-notify-general library,
What I wanted is:
data Acid = Acid
{ acidCountState :: AcidState CountState
, acidGreetingState :: AcidState GreetingState
, acidPushManager :: AcidState PushManager
}
I couldn't make this work, because 1) PushManager use so many data types internally, and it is not realistic/robust to make underlying data type SafeCopy compatible by calling $(deriveSafeCopy ...). 2) PushManager not only contains simple value, but also function which is SafeCopy compatible.
Other thing I tried is to "Acid" data declaration to carry not only AcidState, but also non-AcidState data. By looking at the definition of runApp, "Acid" is just used for Reading, so I thought that rewriting with State monad may be able to achive my need. - but it turns out that it was not so simple. My tentative code is:
{-# LANGUAGE MultiParamTypeClasses, GeneralizedNewtypeDeriving,
TemplateHaskell, TypeFamilies, DeriveDataTypeable,
FlexibleContexts, ScopedTypeVariables,
NamedFieldPuns, DeriveFunctor, StandaloneDeriving, OverloadedStrings #-}
import Control.Applicative ( Applicative, Alternative, (<$>))
import Control.Monad ( MonadPlus )
import Control.Monad.State.Strict ( MonadState, StateT, get, put, evalStateT )
import Control.Monad.Trans ( MonadIO )
import Data.Acid
import Data.Data ( Data, Typeable )
import Happstack.Server
newtype Simple a = Simple { unSimple :: a }
deriving (Show)
data CountState = CountState { count :: Integer }
deriving (Eq, Ord, Data, Typeable, Show)
-- This data is equivalent to the one previously called "Acid"
data States = States {
simpleState :: Simple Int
, acidCountState :: AcidState CountState
}
initialStates :: States
initialStates = States { simpleState = Simple 1, acidCountState = undefined }
newtype App a = App { unApp :: ServerPartT (StateT States IO) a }
deriving ( Functor, Alternative, Applicative, Monad
, MonadPlus, MonadIO, HasRqData, ServerMonad
, WebMonad Response, FilterMonad Response
, Happstack, MonadState States )
class HasSimple m st where
getSimple :: m (Simple st)
putSimple :: (Simple st) -> m ()
instance HasSimple App Int where
getSimple = simpleState <$> get
putSimple input = do
whole <- get
put $ whole {simpleState = input}
simpleQuery :: ( Functor m
, HasSimple m a
, MonadIO m
, Show a
) =>
m a
simpleQuery = do
(Simple a) <- getSimple
return a
simpleUpdate :: ( Functor m
, HasSimple m a
, MonadIO m
, Show a
) =>
a
-> m ()
simpleUpdate a = putSimple (Simple a)
runApp :: States -> App a -> ServerPartT IO a
runApp states (App sp) = do
mapServerPartT (flip evalStateT states) sp
rootDir :: App Response
rootDir = do
intVal <- simpleQuery
let newIntVal :: Int
newIntVal = intVal + 1
simpleUpdate newIntVal
ok $ toResponse $ ("hello number:" ++ (show newIntVal))
main :: IO ()
main = do
simpleHTTP nullConf $ runApp initialStates rootDir
It compiled, but every time web page is requested, the page display same number. Looking at my code again, and I felt that evalStateT in runApp is wrong, because it never use updated state value.
Now, I am reading mapServerPartT and ServerPartT, but that is too complex.
Appreciate if anybody can answer the title line: "How to carry non-Acidic value in Happstack?"

The mapServerPartT would not help you either. The issue here is that the handler function you pass to simpleHTTP gets called in a new thread for each request that comes in. And each time it is going to be calling runApp with the initialStates argument. So not only is the value lost at the end of the request, but if multiple threads are handling requests, they will each have their own separate copy of the state.
Once we realize that we want state that is shared between multiple threads, we realize that the answer must rely on one of the tools for doing interthread communication. A good choice would probably be a TVar, http://hackage.haskell.org/package/stm-2.4.3/docs/Control-Concurrent-STM-TVar.html
main :: IO ()
main = do
states <- atomically $ newTVar initialStates
simpleHTTP nullConf $ runApp states rootDir
Note that we create the TVar before we start listening for incoming connections. We pass the TVar to all the request handling threads, and STM takes care of synchronizing the values between threads.
a TVar is a bit like acid-state without the (D)urability. Since the data does not need to be saved, there is no need for SafeCopy instances, etc.

Based on stepcut's Answer, I was able to carry non-acidic value within Happstack using TVar.
If anybody is interested in, here is simplified code:
https://gist.github.com/anonymous/5686161783fd53c4e413
And this is full version which carries both "AcidState CountState" and "TVar CountState".
{-# LANGUAGE MultiParamTypeClasses, GeneralizedNewtypeDeriving,
TemplateHaskell, TypeFamilies, DeriveDataTypeable,
FlexibleContexts, ScopedTypeVariables,
NamedFieldPuns, DeriveFunctor, StandaloneDeriving, OverloadedStrings,
RecordWildCards #-}
import Happstack.Server
import Control.Applicative ( Applicative, Alternative, (<$>))
import Control.Monad ( MonadPlus, msum )
import Control.Monad.Reader ( MonadReader, ReaderT(..), ask)
import Control.Monad.State (get, put)
import Control.Monad.Trans ( MonadIO, liftIO )
import Control.Monad.Trans.Control ( MonadBaseControl )
import Data.Maybe (fromMaybe)
import Control.Exception
import Control.Concurrent.STM
import Control.Concurrent.STM.TVar
import Data.Acid hiding (update)
import Data.Acid.Advanced (query', update')
import Data.Acid.Local
import Data.SafeCopy
import Data.Data ( Data, Typeable )
import System.FilePath ((</>))
data CountState = CountState { count :: Integer }
deriving (Eq, Ord, Data, Typeable, Show)
$(deriveSafeCopy 0 'base ''CountState)
initialCountState :: CountState
initialCountState = CountState { count = 0 }
-- for AcidState
incCount :: Update CountState Integer
incCount =
do (CountState c) <- get
let c' = succ c
put (CountState c')
return c'
$(makeAcidic ''CountState ['incCount])
-- for TVar
incCountState :: App Integer
incCountState = do
(_, CountState newVal) <- updateTVar incCount'
return newVal
where
incCount' :: CountState -> CountState
incCount' (CountState c) = CountState $ succ c
data Aci = Aci
{ acidCountState :: AcidState CountState
, tvarCountState :: TVar CountState
}
withAci :: Maybe FilePath -> (Aci -> IO a) -> IO a
withAci mBasePath action = do
initialTVarCount <- newTVarIO initialCountState
let basePath = fromMaybe "_state" mBasePath
countPath = Just $ basePath </> "count"
in withLocalState countPath initialCountState $ \c ->
action (Aci c initialTVarCount)
-- for AcidState
class HasAcidState m st where
getAcidState :: m (AcidState st)
query :: forall event m.
( Functor m
, MonadIO m
, QueryEvent event
, HasAcidState m (EventState event)
) =>
event
-> m (EventResult event)
query event =
do as <- getAcidState
query' (as :: AcidState (EventState event)) event
update :: forall event m.
( Functor m
, MonadIO m
, UpdateEvent event
, HasAcidState m (EventState event)
) =>
event
-> m (EventResult event)
update event =
do as <- getAcidState
update' (as :: AcidState (EventState event)) event
-- for TVar
class HasTVarState m st where
getTVarState :: m (TVar st)
instance HasTVarState App CountState where
getTVarState = tvarCountState <$> ask
queryTVar :: ( HasTVarState m a
, MonadIO m
) => m a
queryTVar = do
as <- getTVarState
liftIO $ readTVarIO as
updateTVar :: ( HasTVarState m a
, MonadIO m ) =>
(a -> a) -- ^ function to modify value
-> m (a, a) -- ^ return value - "before change" and "after change"
updateTVar func = do
as <- getTVarState
liftIO $ atomically $ do -- STM
prevVal <- readTVar as
let newVal = func prevVal
writeTVar as newVal
return (prevVal, newVal)
-- | same as updateTVar, except no return
updateTVar_ :: ( HasTVarState m a
, MonadIO m ) =>
(a -> a) -- ^ function to modify value
-> m ()
updateTVar_ func = do
as <- getTVarState
liftIO $ atomically $ modifyTVar as func
withLocalState
:: ( IsAcidic st
, Typeable st
) =>
Maybe FilePath -- ^ path to state directory
-> st -- ^ initial state value
-> (AcidState st -> IO a) -- ^ function which uses the
-- `AcidState` handle
-> IO a
withLocalState mPath initialState =
bracket (liftIO $ open initialState)
(liftIO . createCheckpointAndClose)
where
open = maybe openLocalState openLocalStateFrom mPath
newtype App a = App { unApp :: ServerPartT (ReaderT Aci IO) a }
deriving ( Functor, Alternative, Applicative, Monad
, MonadPlus, MonadIO, HasRqData, ServerMonad
, WebMonad Response, FilterMonad Response
, Happstack, MonadReader Aci )
runApp :: Aci -> App a -> ServerPartT IO a
runApp aci (App sp) = do
mapServerPartT (flip runReaderT aci) sp
instance HasAcidState App CountState where
getAcidState = acidCountState <$> ask
acidCounter :: App Response
acidCounter = do
c <- update IncCount -- ^ a CountState event
ok $ toResponse $ ("hello number acid:" ++ (show c))
tvarCounter :: App Response
tvarCounter = do
c <- incCountState
ok $ toResponse $ ("hello number tvar:" ++ (show c))
rootDir :: App Response
rootDir = do
msum
[ dir "favicon.ico" $ notFound (toResponse ())
, dir "acidCounter" acidCounter
, dir "tvarCounter" tvarCounter
, ok $ toResponse ("access /acidCounter or /tvarCounter" :: String)
]
main :: IO ()
main = do
withAci Nothing $ \aci ->
simpleHTTP nullConf $ runApp aci rootDir

Related

Extracting context for tracing/logging via haskell meta programming

In our haskell code base, business logic is interlaved with tracing and logging code. This can obscure the business logic and make it harder to understand and debug. I am looking for ideas how to reduce the code footprint of logging and tracing to make the business logic stick out more.
Our code currently mostly looks roughly like this:
someFunction a b cs =
withTaggedSpan tracer "TRACE_someFunction" [("arg_b", show b)] $ do
logDebug logger $ "someFunction start: " <> show (trimDownC <$> cs)
result <- do ... some business logic ...
if isError result then
logError logger $ "someFunction error: " <> show result
else
logDebug logger $ "someFunction success: " <> show (trimDownResult result)
One observation is that whe mostly trace the entire function body and log at beginning and end. This should allow combining tracing and logging into single helper and automatically extract function name and names of captured values via meta programming. I have used AST transforming compile time macros and runtime introspection in other languges before but not Haskell.
What are good ways to do this using Template Haskell, HasCallStack or other options?
(Cross posted at https://www.reddit.com/r/haskell/comments/gdfu52/extracting_context_for_tracinglogging_via_haskell/)
Let's assume for simplicity that the functions in your business logic are of the form:
_foo :: Int -> String -> ReaderT env IO ()
_bar :: Int -> ExceptT String (ReaderT env IO) Int
That is, they return values in a ReaderT transformer over IO, or perhaps also throw errors using ExceptT. (Actually that ReaderT transformer isn't required right now, but it'll come in handy later).
We could define a traced function like this:
{-# LANGUAGE FlexibleInstances #-}
import Data.Void (absurd)
import Control.Monad.IO.Class
import Control.Monad.Reader -- from "mtl"
import Control.Monad.Trans -- from "transformers"
import Control.Monad.Trans.Except
traced :: Traceable t => Name -> t -> t
traced name = _traced name []
type Name = String
type Arg = String
class Traceable t where
_traced :: Name -> [Arg] -> t -> t
instance Show r => Traceable (ReaderT env IO r) where
_traced msg args t = either absurd id <$> runExceptT (_traced msg args (lift t))
instance (Show e, Show r) => Traceable (ExceptT e (ReaderT env IO) r) where
_traced msg args t =
do
liftIO $ putStrLn $ msg ++ " invoked with args " ++ show args
let mapExits m = do
e <- m
case e of
Left err -> do
liftIO $ putStrLn $ msg ++ " failed with error " ++ show err
return $ Left err
Right r -> do
liftIO $ putStrLn $ msg ++ " exited with value " ++ show r
return $ Right r
mapExceptT (mapReaderT mapExits) t
instance (Show arg, Traceable t) => Traceable (arg -> t) where
_traced msg args f = \arg -> _traced msg (args ++ [show arg]) (f arg)
This solution is still a bit unsatisfactory because, for functions that call other functions, we must decide at the outset if we want the traced version of the called functions or not.
One thing we could try—although more invasive to the code—is to put our functions in a record, and make the environment of the ReaderT equal to that same record. Something like this:
{-# LANGUAGE DeriveAnyClass #-}
{-# LANGUAGE DeriveGeneric #-}
import GHC.Generics
-- from "red-black-record"
import Data.RBR (FromRecord (..), IsRecordType, ToRecord (..))
data MyAPI = MyAPI
{ foo :: Int -> String -> ReaderT MyAPI IO (),
bar :: Int -> ExceptT String (ReaderT MyAPI IO) Int,
baz :: Bool -> ExceptT String (ReaderT MyAPI IO) ()
}
deriving (Generic, FromRecord, ToRecord)
An then use some generics utility library (here red-black-record) to write a function that says: "if every function in your record is Traceable, I will give you another record where all the functions are traced":
import Data.Kind
import Data.Proxy
import Data.Monoid (Endo(..))
import GHC.TypeLits
import Data.RBR
( I (..),
KeyValueConstraints,
KeysValuesAll,
Maplike,
cpure'_Record,
liftA2_Record,
)
traceAPI ::
( IsRecordType r t,
Maplike t,
KeysValuesAll (KeyValueConstraints KnownSymbol Traceable) t
) =>
r ->
r
traceAPI =
let transforms =
cpure'_Record (Proxy #Traceable) $
\fieldName -> Endo (traced fieldName)
applyTraced (Endo endo) (I v) = I (endo v)
in fromRecord . liftA2_Record applyTraced transforms . toRecord
-- small helper function to help invoke the functions in the record
call :: MonadReader env m => (env -> f) -> (f -> m r) -> m r
call getter execute = do
f <- asks getter
execute f
Alternatively, in order to avoid magic, such function could we written by hand for each particular API record.
Putting it to work:
main :: IO ()
main = do
let api =
traceAPI $
MyAPI
{ foo = \_ _ ->
do liftIO $ putStrLn "this is foo",
bar = \_ ->
do
liftIO $ putStrLn "this is bar"
return 5,
baz = \_ ->
do
call foo $ \f -> lift $ f 0 "fooarg"
call bar $ \f -> f 23
throwE "oops"
}
flip runReaderT api $ runExceptT $ baz api False
pure ()
-- baz invoked with args ["False"]
-- foo invoked with args ["0","\"fooarg\""]
-- this is foo
-- foo exited with value ()
-- bar invoked with args ["23"]
-- this is bar
-- bar exited with value 5
-- baz failed with error "oops"
Pure functions are deterministic. If you know what went into them, you can always reproduce the result. Thus, you shouldn't need a lot of logging inside the main parts of a functional code base.
Log the impure actions only, and architect your code into a pure core with a small imperative shell. Log only the impure actions that take place in the shell. I've described the technique in a blog post here.

Memoizing and repeating IO monads

EDITED 2015-11-29: see bottom
I'm trying to write an application that has a do-last-action-again button. The command in question can ask for input, and my thought for how to accomplish this was to just rerun the resulting monad with memoized IO.
There are lots of posts on SO with similar questions, but none of the solutions seem to work here.
I lifted the memoIO code from this SO answer, and changed the implementation to run over MonadIO.
-- Memoize an IO function
memoIO :: MonadIO m => m a -> m (m a)
memoIO action = do
ref <- liftIO $ newMVar Nothing
return $ do
x <- maybe action return =<< liftIO (takeMVar ref)
liftIO . putMVar ref $ Just x
return x
I've got a small repro of my app's approach, the only real difference being my app has a big transformer stack instead of just running in IO:
-- Global variable to contain the action we want to repeat
actionToRepeat :: IORef (IO String)
actionToRepeat = unsafePerformIO . newIORef $ return ""
-- Run an action and store it as the action to repeat
repeatable :: IO String -> IO String
repeatable action = do
writeIORef actionToRepeat action
action
-- Run the last action stored by repeatable
doRepeat :: IO String
doRepeat = do
x <- readIORef actionToRepeat
x
The idea being I can store an action with memoized IO in an IORef (via repeatable) when I record what was last done, and then do it again it out with doRepeat.
I test this via:
-- IO function to memoize
getName :: IO String
getName = do
putStr "name> "
getLine
main :: IO ()
main = do
repeatable $ do
memoized <- memoIO getName
name <- memoized
putStr "hello "
putStrLn name
return name
doRepeat
return ()
with expected output:
name> isovector
hello isovector
hello isovector
but actual output:
name> isovector
hello isovector
name> wasnt memoized
hello wasnt memoized
I'm not entirely sure what the issue is, or even how to go about debugging this. Gun to my head, I'd assume lazy evaluation is biting me somewhere, but I can't figure out where.
Thanks in advance!
EDIT 2015-11-29: My intended use case for this is to implement the repeat last change operator in a vim-clone. Each action can perform an arbitrary number of arbitrary IO calls, and I would like it to be able to specify which ones should be memoized (reading a file, probably not. asking the user for input, yes).
the problem is in main you are creating a new memo each time you call the action
you need to move memoized <- memoIO getName up above the action
main :: IO ()
main = do
memoized <- memoIO getName --moved above repeatable $ do
repeatable $ do
--it was here
name <- memoized
putStr "hello "
putStrLn name
return name
doRepeat
return ()
edit: is this acceptable
import Data.IORef
import System.IO.Unsafe
{-# NOINLINE actionToRepeat #-}
actionToRepeat :: IORef (IO String)
actionToRepeat = unsafePerformIO . newIORef $ return ""
type Repeatable a = IO (IO a)
-- Run an action and store the Repeatable part of the action
repeatable :: Repeatable String -> IO String
repeatable action = do
repeatAction <- action
writeIORef actionToRepeat repeatAction
repeatAction
-- Run the last action stored by repeatable
doRepeat :: IO String
doRepeat = do
x <- readIORef actionToRepeat
x
-- everything before (return $ do) is run just once
hello :: Repeatable String
hello = do
putStr "name> "
name <- getLine
return $ do
putStr "hello "
putStrLn name
return name
main :: IO ()
main = do
repeatable hello
doRepeat
return ()
I came up with a solution. It requires wrapping the original monad in a new transformer which records the results of IO and injects them the next time the underlying monad is run.
Posting it here so my answer is complete.
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE GeneralizedNewtypeDeriving #-}
{-# LANGUAGE LambdaCase #-}
import Control.Applicative (Applicative(..))
import Data.Dynamic
import Data.Maybe (fromJust)
import Control.Monad.RWS
-- | A monad transformer adding the ability to record the results
-- of IO actions and later replay them.
newtype ReplayT m a =
ReplayT { runReplayT :: RWST () [Dynamic] [Dynamic] m a }
deriving ( Functor
, Applicative
, Monad
, MonadIO
, MonadState [Dynamic]
, MonadWriter [Dynamic]
, MonadTrans
)
-- | Removes the first element from a list State and returns it.
dequeue :: MonadState [r] m
=> m (Maybe r)
dequeue = do
get >>= \case
[] -> return Nothing
(x:xs) -> do
put xs
return $ Just x
-- | Marks an IO action to be memoized after its first invocation.
sample :: ( MonadIO m
, Typeable r)
=> IO r
-> ReplayT m r
sample action = do
a <- dequeue >>= \case
Just x -> return . fromJust $ fromDynamic x
Nothing -> liftIO action
tell [toDyn a]
return a
-- | Runs an action and records all of its sampled IO. Returns a
-- action which when invoked will use the recorded IO.
record :: Monad m
=> ReplayT m a
-> m (m a)
record action = do
(a, w) <- evalRWST (runReplayT action) () []
return $ do
evalRWST (runReplayT action) () w
return a

How to pass a field constructor parameter to a function?

1) I need to pass a field constructor parameter to a function. I made some tests but i was unable to do so. Is it possible? Otherwise, is it possible with lens package?
2) Is it possible in a MonadState to modify a field using modify? (I made a few attempts, but without success. For example: modify (second = "x") does not work.
import Control.Monad.State
data Test = Test {first :: Int, second :: String} deriving Show
dataTest = Test {first = 1, second = ""}
test1 = runStateT modif1 dataTest -- OK
test2 = runStateT (modif2 "!") dataTest -- OK
test3 = runStateT (modif3 second) dataTest -- WRONG
-- modif1 :: StateT Test IO ()
modif1 = do
st <- get
r <- lift getLine
put $ st {second = "x" ++ r}
-- modif2 :: String -> StateT Test IO ()
modif2 s = do
stat <- get
r <- lift getLine
put $ stat {second = "x" ++ r ++ s}
-- modif3 :: ???? -> StateT Test IO ()
modif3 fc = do
stat <- get
r <- lift getLine
put $ stat {fc = "x" ++ r}
-- When i try to load the module, this is the result:
-- ghc > Failed:
-- ProvaRecord.hs:33:16:`fc' is not a (visible) constructor field name
As you said, you're probably looking for lenses. A lens is a value that allows to read, set or modify a given field. Usually with Control.Lens, you define fields with underscores and you use makeLenses to create full-featured lenses.
There are many combinators that allow lenses to be used together within MonadState. In your case we can use %=, which in this case would be specialized to type
(MonadState s m) => Lens' s b -> (b -> b) -> m ()
which modifies a state value using a given lens and a function that operates on the inside value.
Your example could be rewritten using lenses as follows:
{-# LANGUAGE TemplateHaskell, RankNTypes #-}
import Control.Lens
import Control.Monad.State
data Test = Test { _first :: Int
, _second :: String
}
deriving Show
-- Generate `first` and `second` lenses.
$(makeLenses ''Test)
-- | An example of a universal function that modifies any lens.
-- It reads a string and appends it to the existing value.
modif :: Lens' a String -> StateT a IO ()
modif l = do
r <- lift getLine
l %= (++ r)
dataTest :: Test
dataTest = Test { _first = 1, _second = "" }
test :: IO Test
test = execStateT (modif second) dataTest

Nested ResourceT scopes within a conduit Sink

Is there a way to scope runResourceT to the lifetime of a single Sink?
I'm trying to build a Sink that wraps a potentially infinite number of Sinks. This works fine with threads but I'm trying to do it without threads. It seems like it should be possible. I've hit a road block due to the scoping of runResourceT: I get either too coarsely grained (but functional) or much too finely grained (totally broken) resource management.
{-# LANGUAGE FlexibleContexts #-}
import Control.Monad.Trans (lift)
import Control.Monad.Trans.Resource
import Data.ByteString (ByteString)
import qualified Data.ByteString.Char8 as BC8 (pack)
import Data.Conduit
import qualified Data.Conduit.Binary as Cb
import qualified Data.Conduit.List as Cl
import System.FilePath ((<.>))
test :: IO ()
test =
runResourceT
$ Cl.sourceList (fmap (BC8.pack . show) [(1 :: Int)..1000])
$$ rotateResourceHog "/tmp/foo"
-- |
-- files are allocated on demand but handles are released at the same time
rotateResourceHog
:: MonadResource m
=> FilePath -> Sink ByteString m ()
rotateResourceHog filePath = step 0 where
step i = do
x <- Cl.peek
case x of
Just _ -> do
chunkWriter $ filePath <.> show (i :: Integer)
-- loop
step $ i+1
Nothing -> return ()
-- |
-- files are allocated on demand but handles are released immediately
rotateUsingClosedHandles
:: (MonadBaseControl IO m, MonadResource m)
=> FilePath -> Sink ByteString m ()
rotateUsingClosedHandles filePath = step 0 where
step i = do
x <- Cl.peek
case x of
Just _ -> do
transPipe runResourceT . chunkWriter $ filePath <.> show (i :: Integer)
-- loop
step $ i+1
Nothing -> return ()
chunkWriter
:: MonadResource m
=> FilePath -> Sink ByteString m ()
chunkWriter filePath = do
_ <- lift $ allocate (putStrLn "alloc") (\ _ -> putStrLn "free")
-- the actual conduit chain is more complicated
Cl.isolate 100 =$= Cb.sinkFile filePath
ResourceT is only intended to clean up resources in exceptional cases. It is not intended to provide prompt finalization, only guaranteed finalization. For promptness, conduit provides its own facilities for handling cleanup. In your case, you're looking for both: you want cleanup to happen as early as possible, and to occur even in the case of an exception being thrown. For this, you should use bracketP. For example:
chunkWriter
:: MonadResource m
=> FilePath -> Sink ByteString m ()
chunkWriter filePath = bracketP
(putStrLn "alloc")
(\() -> putStrLn "free")
(\() -> Cl.isolate 100 =$= Cb.sinkFile filePath)
This results in the desired interleaving of alloc and free outputs.

How to catch an exception inside runResourceT

I would like to catch an exception inside runResourceT without releasing the resource, but the function catch runs the computation inside IO. Is there a way to catch an exception inside runResourceT, or what is the recommended way to refactor the code ?
Thank you for your help.
{-# LANGUAGE FlexibleContexts #-}
module Main where
import Control.Exception as EX
import Control.Monad.IO.Class
import Control.Monad.Trans.Resource
type Resource = String
allocResource :: IO Resource
allocResource = let r = "Resource"
in putStrLn (r ++ " opened.") >> return r
closeResource :: Resource -> IO ()
closeResource r = putStrLn $ r ++ " closed."
withResource :: ( MonadIO m
, MonadBaseControl IO m
, MonadThrow m
, MonadUnsafeIO m
) => (Resource -> ResourceT m a) -> m a
withResource f = runResourceT $ do
(_, r) <- allocate allocResource closeResource
f r
useResource :: ( MonadIO m
, MonadBaseControl IO m
, MonadThrow m
, MonadUnsafeIO m
) => Resource -> ResourceT m Int
useResource r = liftIO $ putStrLn ("Using " ++ r) >> return 1
main :: IO ()
main = do
putStrLn "Start..."
withResource $ \r -> do
x <- useResource r
{-- This does not compile as the catch computation runs inside IO
y <- liftIO $ EX.catch (useResource r)
(\e -> do putStrLn $ show (e::SomeException)
return 0)
--}
return ()
putStrLn "Done."
ResourceT is an instance of MonadBaseControl from the monad-control package, which is designed for lifting control structures like forkIO and catch into transformed monads.
The lifted-base package, which is built on top of monad-control, contains modules with versions of standard control structures that work in any MonadBaseControl. For exception handling, you can use the functions in the Control.Exception.Lifted module. So, just import qualified Control.Exception.Lifted as EX1 instead, and your code should work fine.
1 Note the qualified here; quite confusingly, import A as B actually imports all of the definitions in A into scope, and simply defines B as an alias for the module! You need to use qualified to ensure that the definitions are not brought into scope, and are instead accessed exclusively through the B alias.
As an alternative approach, you can use the MonadCatch instance of ResourceT, found in the exceptions package. You simply need to substitute the generalized version of catch from Control.Monad.Catch:
import Control.Monad.Catch
…
main = do
…
withResource $ \r -> do
…
y <- Control.Monad.Catch.catch (useResource r) (\e -> …)

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