Yesod’s Monads
As you’ve read through this book, there have been a number of monads which have appeared: Handler
, Widget
and YesodDB
(for Persistent). As with most monads, each one provides some specific functionality: Handler
gives access to the request and allows you to send responses, a Widget
contains HTML, CSS, and Javascript, and YesodDB
lets you make database queries. In Model-View-Controller (MVC) terms, we could consider YesodDB
to be the model, Widget
to be the view, and Handler
to be the controller.
So far, we’ve presented some very straight-forward ways to use these monads: your main handler will run in Handler
, using runDB
to execute a YesodDB
query, and defaultLayout
to return a Widget
, which in turn was created by calls to toWidget
.
However, if we have a deeper understanding of these types, we can achieve some fancier results.
Monad Transformers
Shrek- more or less
Monads are like onions. Monads are not like cakes.
Before we get into the heart of Yesod’s monads, we need to understand a bit about monad transformers. (If you already know all about monad transformers, you can likely skip this section.) Different monads provide different functionality: Reader
allows read-only access to some piece of data throughout a computation, Error
allows you to short-circuit computations, and so on.
Often times, however, you would like to be able to combine a few of these features together. After all, why not have a computation with read-only access to some settings variable, that could error out at any time? One approach to this would be to write a new monad like ReaderError
, but this has the obvious downside of exponential complexity: you’ll need to write a new monad for every single possible combination.
Instead, we have monad transformers. In addition to Reader
, we have ReaderT
, which adds reader functionality to any other monad. So we could represent our ReaderError
as (conceptually):
type ReaderError = ReaderT Error
In order to access our settings variable, we can use the ask
function. But what about short-circuiting a computation? We’d like to use throwError
, but that won’t exactly work. Instead, we need to lift
our call into the next monad up. In other words:
throwError :: errValue -> Error
lift . throwError :: errValue -> ReaderT Error
There are a few things you should pick up here:
A transformer can be used to add functionality to an existing monad.
A transformer must always wrap around an existing monad.
The functionality available in a wrapped monad will be dependent not only on the monad transformer, but also on the inner monad that is being wrapped.
A great example of that last point is the IO
monad. No matter how many layers of transformers you have around an IO
, there’s still an IO
at the core, meaning you can perform I/O in any of these monad transformer stacks. You’ll often see code that looks like liftIO $ putStrLn "Hello There!"
.
The Three Transformers
In earlier versions of Yesod, Handler
and Widget
were far more magical and scary. Since version 1.2, things are much simplified. So if you remember reading some scary stuff about fake transformers and subsite parameters, rest assured: you haven’t gone crazy, things have actually changed a bit. The story with persistent is likewise much simpler.
We’ve already discussed two of our transformers previously: Handler
and Widget
. Remember that these are each application-specific synonyms for the more generic HandlerT
and WidgetT
. Each of those transformers takes two type parameters: your foundation data type, and a base monad. The most commonly used base monad is IO
.
In persistent, we have a typeclass called PersistStore
. This typeclass defines all of the primitive operations you can perform on a database, like get
. There are instances of this typeclass for each database backend supported by persistent. For example, for SQL databases, there is a datatype called SqlBackend
. We then use a standard ReaderT
transformer to provide that SqlBackend
value to all of our operations. This means that you can run a SQL database with any underlying monad which is an instance of MonadIO
. The takeaway here is that we can layer our Persistent transformer on top of Handler
or Widget
.
In order to make it simpler to refer to the relevant Persistent transformer, the yesod-persistent package defines the YesodPersistBackend
associated type. For example, if I have a site called MyApp
and it uses SQL, I would define something like type instance YesodPersistBackend MyApp = SqlBackend
. And for more convenience, we have a type synonym called YesodDB
which is defined as:
type YesodDB site = ReaderT (YesodPersistBackend site) (HandlerT site IO)
Our database actions will then have types that look like YesodDB MyApp SomeResult
. In order to run these, we can use the standard Persistent unwrap functions (like runSqlPool
) to run the action and get back a normal Handler
. To automate this, we provide the runDB
function. Putting it all together, we can now run database actions inside our handlers.
Most of the time in Yesod code, and especially thus far in this book, widgets have been treated as actionless containers that simply combine together HTML, CSS and Javascript. But in reality, a Widget
can do anything that a Handler
can do, by using the handlerToWidget
function. So for example, you can run database queries inside a Widget
by using something like handlerToWidget . runDB
.
Example: Database-driven navbar
Let’s put some of this new knowledge into action. We want to create a Widget
that generates its output based on the contents of the database. Previously, our approach would have been to load up the data in a Handler
, and then pass that data into a Widget
. Now, we’ll do the loading of data in the Widget
itself. This is a boon for modularity, as this Widget
can be used in any Handler
we want, without any need to pass in the database contents.
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE GeneralizedNewtypeDeriving #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE QuasiQuotes #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE TypeFamilies #-}
import Control.Monad.Logger (runNoLoggingT)
import Data.Text (Text)
import Data.Time
import Database.Persist.Sqlite
import Yesod
share [mkPersist sqlSettings, mkMigrate "migrateAll"] [persistLowerCase|
Link
title Text
url Text
added UTCTime
|]
data App = App ConnectionPool
mkYesod "App" [parseRoutes|
/ HomeR GET
/add-link AddLinkR POST
|]
instance Yesod App
instance RenderMessage App FormMessage where
renderMessage _ _ = defaultFormMessage
instance YesodPersist App where
type YesodPersistBackend App = SqlBackend
runDB db = do
App pool <- getYesod
runSqlPool db pool
getHomeR :: Handler Html
getHomeR = defaultLayout
[whamlet|
<form method=post action=@{AddLinkR}>
<p>
Add a new link to
<input type=url name=url value=http://>
titled
<input type=text name=title>
<input type=submit value="Add link">
<h2>Existing links
^{existingLinks}
|]
existingLinks :: Widget
existingLinks = do
links <- handlerToWidget $ runDB $ selectList [] [LimitTo 5, Desc LinkAdded]
[whamlet|
<ul>
$forall Entity _ link <- links
<li>
<a href=#{linkUrl link}>#{linkTitle link}
|]
postAddLinkR :: Handler ()
postAddLinkR = do
url <- runInputPost $ ireq urlField "url"
title <- runInputPost $ ireq textField "title"
now <- liftIO getCurrentTime
runDB $ insert $ Link title url now
setMessage "Link added"
redirect HomeR
main :: IO ()
main = runNoLoggingT $ withSqlitePool "links.db3" 10 $ \pool -> liftIO $ do
runSqlPersistMPool (runMigration migrateAll) pool
warp 3000 $ App pool
Pay attention in particular to the existingLinks
function. Notice how all we needed to do was apply handlerToWidget . runDB
to a normal database action. And from within getHomeR
, we treated existingLinks
like any ordinary Widget
, no special parameters at all. See the figure for the output of this app.
Screenshot of the navbar
Example: Request information
Likewise, you can get request information inside a Widget
. Here we can determine the sort order of a list based on a GET parameter.
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE QuasiQuotes #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE TypeFamilies #-}
import Data.List (sortBy)
import Data.Ord (comparing)
import Data.Text (Text)
import Yesod
data Person = Person
{ personName :: Text
, personAge :: Int
}
people :: [Person]
people =
[ Person "Miriam" 25
, Person "Eliezer" 3
, Person "Michael" 26
, Person "Gavriella" 1
]
data App = App
mkYesod "App" [parseRoutes|
/ HomeR GET
|]
instance Yesod App
instance RenderMessage App FormMessage where
renderMessage _ _ = defaultFormMessage
getHomeR :: Handler Html
getHomeR = defaultLayout
[whamlet|
<p>
<a href="?sort=name">Sort by name
|
<a href="?sort=age">Sort by age
|
<a href="?">No sort
^{showPeople}
|]
showPeople :: Widget
showPeople = do
msort <- runInputGet $ iopt textField "sort"
let people' =
case msort of
Just "name" -> sortBy (comparing personName) people
Just "age" -> sortBy (comparing personAge) people
_ -> people
[whamlet|
<dl>
$forall person <- people'
<dt>#{personName person}
<dd>#{show $ personAge person}
|]
main :: IO ()
main = warp 3000 App
Notice that in this case, we didn’t even have to call handlerToWidget
. The reason is that a number of the functions included in Yesod automatically work for both Handler
and Widget
, by means of the MonadHandler
typeclass. In fact, MonadHandler
will allow these functions to be “autolifted” through many common monad transformers.
But if you want to, you can wrap up the call to runInputGet
above using handlerToWidget
, and everything will work the same.
Performance and error messages
You can consider this section extra credit. It gets into some of the design motivation behind Yesod, which isn’t necessary for usage of Yesod.
At this point, you may be just a bit confused. As I mentioned above, the Widget
synonym uses IO
as its base monad, not Handler
. So how can Widget
perform Handler
actions? And why not just make Widget
a transformer on top of Handler
, and then use lift
instead of this special handlerToWidget
? And finally, I mentioned that Widget
and Handler
were both instances of MonadResource
. If you’re familiar with MonadResource
, you may be wondering why ResourceT
doesn’t appear in the monad transformer stack.
The fact of the matter is, there’s a much simpler (in terms of implementation) approach we could take for all of these monad transformers. Handler
could be a transformer on top of ResourceT IO
instead of just IO
, which would be a bit more accurate. And Widget
could be layered on top of Handler
. The end result would look something like this:
type Handler = HandlerT App (ResourceT IO)
type Widget = WidgetT App (HandlerT App (ResourceT IO))
Doesn’t look too bad, especially since you mostly deal with the more friendly type synonyms instead of directly with the transformer types. The problem is that any time those underlying transformers leak out, these larger type signatures can be incredibly confusing. And the most common time for them to leak out is in error messages, when you’re probably already pretty confused! (Another time is when working on subsites, which happens to be confusing too.)
One other concern is that each monad transformer layer does add some amount of a performance penalty. This will probably be negligible compared to the I/O you’ll be performing, but the overhead is there.
So instead of having properly layered transformers, we flatten out each of HandlerT
and WidgetT
into a one-level transformer. Here’s a high-level overview of the approach we use:
HandlerT
is really just aReaderT
monad. (We give it a different name to make error messages clearer.) This is a reader for theHandlerData
type, which contains request information and some other immutable contents.In addition,
HandlerData
holds anIORef
to aGHState
(badly named for historical reasons), which holds some data which can be mutated during the course of a handler (e.g., session variables). The reason we use anIORef
instead of aStateT
kind of approach is thatIORef
will maintain the mutated state even if a runtime exception is thrown.The
ResourceT
monad transformer is essentially aReaderT
holding onto anIORef
. ThisIORef
contains the information on all cleanup actions that must be performed. (This is calledInternalState
.) Instead of having a separate transformer layer to hold onto that reference, we hold onto the reference ourself inHandlerData
. (And yes, the reson for anIORef
here is also for runtime exceptions.)A
WidgetT
is essentially just aWriterT
on top of everything that aHandlerT
does. But sinceHandlerT
is just aReaderT
, we can easily compress the two aspects into a single transformer, which looks something likenewtype WidgetT site m a = WidgetT (HandlerData → m (a, WidgetData))
.
If you want to understand this more, please have a look at the definitions of HandlerT
and WidgetT
in Yesod.Core.Types
.
Adding a new monad transformer
At times, you’ll want to add your own monad transformer in part of your application. As a motivating example, let’s consider the monadcryptorandom package from Hackage, which defines both a MonadCRandom
typeclass for monads which allow generating cryptographically-secure random values, and CRandT
as a concrete instance of that typeclass. You would like to write some code that generates a random bytestring, e.g.:
import Control.Monad.CryptoRandom
import Data.ByteString.Base16 (encode)
import Data.Text.Encoding (decodeUtf8)
getHomeR = do
randomBS <- getBytes 128
defaultLayout
[whamlet|
<p>Here's some random data: #{decodeUtf8 $ encode randomBS}
|]
However, this results in an error message along the lines of:
No instance for (MonadCRandom e0 (HandlerT App IO))
arising from a use of ‘getBytes’
In a stmt of a 'do' block: randomBS <- getBytes 128
How do we get such an instance? One approach is to simply use the CRandT
monad transformer when we call getBytes
. A complete example of doing so would be:
{-# LANGUAGE OverloadedStrings, QuasiQuotes, TemplateHaskell, TypeFamilies #-}
import Yesod
import Crypto.Random (SystemRandom, newGenIO)
import Control.Monad.CryptoRandom
import Data.ByteString.Base16 (encode)
import Data.Text.Encoding (decodeUtf8)
data App = App
mkYesod "App" [parseRoutes|
/ HomeR GET
|]
instance Yesod App
getHomeR :: Handler Html
getHomeR = do
gen <- liftIO newGenIO
eres <- evalCRandT (getBytes 16) (gen :: SystemRandom)
randomBS <-
case eres of
Left e -> error $ show (e :: GenError)
Right gen -> return gen
defaultLayout
[whamlet|
<p>Here's some random data: #{decodeUtf8 $ encode randomBS}
|]
main :: IO ()
main = warp 3000 App
Note that what we’re doing is layering the CRandT
transformer on top of the HandlerT
transformer. It does not work to do things the other way around: Yesod itself would ultimately have to unwrap the CRandT
transformer, and it has no knowledge of how to do so. Notice that this is the same approach we take with Persistent: its transformer goes on top of HandlerT
.
But there are two downsides to this approach:
It requires you to jump into this alternate monad each time you want to work with random values.
It’s inefficient: you need to create a new random seed each time you enter this other monad.
The second point could be worked around by storing the random seed in the foundation datatype, in a mutable reference like an IORef
, and then atomically sampling it each time we enter the CRandT
transformer. But we can even go a step further, and use this trick to make our Handler
monad itself an instance of MonadCRandom
! Let’s look at the code, which is in fact a bit involved:
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE QuasiQuotes #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE TypeSynonymInstances #-}
import Control.Monad (join)
import Control.Monad.Catch (catch, throwM)
import Control.Monad.CryptoRandom
import Control.Monad.Error.Class (MonadError (..))
import Crypto.Random (SystemRandom, newGenIO)
import Data.ByteString.Base16 (encode)
import Data.IORef
import Data.Text.Encoding (decodeUtf8)
import Yesod
data App = App
{ randGen :: IORef SystemRandom
}
mkYesod "App" [parseRoutes|
/ HomeR GET
|]
instance Yesod App
getHomeR :: Handler Html
getHomeR = do
randomBS <- getBytes 16
defaultLayout
[whamlet|
<p>Here's some random data: #{decodeUtf8 $ encode randomBS}
|]
instance MonadError GenError Handler where
throwError = throwM
catchError = catch
instance MonadCRandom GenError Handler where
getCRandom = wrap crandom
{-# INLINE getCRandom #-}
getBytes i = wrap (genBytes i)
{-# INLINE getBytes #-}
getBytesWithEntropy i e = wrap (genBytesWithEntropy i e)
{-# INLINE getBytesWithEntropy #-}
doReseed bs = do
genRef <- fmap randGen getYesod
join $ liftIO $ atomicModifyIORef genRef $ \gen ->
case reseed bs gen of
Left e -> (gen, throwM e)
Right gen' -> (gen', return ())
{-# INLINE doReseed #-}
wrap :: (SystemRandom -> Either GenError (a, SystemRandom)) -> Handler a
wrap f = do
genRef <- fmap randGen getYesod
join $ liftIO $ atomicModifyIORef genRef $ \gen ->
case f gen of
Left e -> (gen, throwM e)
Right (x, gen') -> (gen', return x)
main :: IO ()
main = do
gen <- newGenIO
genRef <- newIORef gen
warp 3000 App
{ randGen = genRef
}
This really comes down to a few different concepts:
We modify the
App
datatype to have a field for anIORef SystemRandom
.Similarly, we modify the
main
function to generate anIORef SystemRandom
.Our
getHomeR
function became a lot simpler: we can now simply callgetBytes
without playing with transformers.However, we have gained some complexity in needing a
MonadCRandom
instance. Since this is a book on Yesod, and not onmonadcryptorandom
, I’m not going to go into details on this instance, but I encourage you to inspect it, and if you’re interested, compare it to the instance forCRandT
.
Hopefully, this helps get across an important point: the power of the HandlerT
transformer. By just providing you with a readable environment, you’re able to recreate a StateT
transformer by relying on mutable references. In fact, if you rely on the underlying IO
monad for runtime exceptions, you can implement most cases of ReaderT
, WriterT
, StateT
, and ErrorT
with this abstraction.
Summary
If you completely ignore this chapter, you’ll still be able to use Yesod to great benefit. The advantage of understanding how Yesod’s monads interact is to be able to produce cleaner, more modular code. Being able to perform arbitrary actions in a Widget
can be a powerful tool, and understanding how Persistent and your Handler
code interact can help you make more informed design decisions in your app.