Input and Output

We've mentioned that Haskell is a purely functional language. Whereas in imperative languages you usually get things done by giving the computer a series of steps to execute, functional programming is more of defining what stuff is. In Haskell, a function can't change some state, like changing the contents of a variable (when a function changes state, we say that the function has side-effects). The only thing a function can do in Haskell is give us back some result based on the parameters we gave it. If a function is called two times with the same parameters, it has to return the same result. While this may seem a bit limiting when you're coming from an imperative world, we've seen that it's actually really cool. In an imperative language, you have no guarantee that a simple function that should just crunch some numbers won't burn down your house, kidnap your dog and scratch your car with a potato while crunching those numbers. For instance, when we were making a binary search tree, we didn't insert an element into a tree by modifying some tree in place. Our function for inserting into a binary search tree actually returned a new tree, because it can't change the old one.

While functions being unable to change state is good because it helps us reason about our programs, there's one problem with that. If a function can't change anything in the world, how is it supposed to tell us what it calculated? In order to tell us what it calculated, it has to change the state of an output device (usually the state of the screen), which then emits photons that travel to our brain and change the state of our mind, man.

Do not despair, all is not lost. It turns out that Haskell actually has a really clever system for dealing with functions that have side-effects that neatly separates the part of our program that is pure and the part of our program that is impure, which does all the dirty work like talking to the keyboard and the screen. With those two parts separated, we can still reason about our pure program and take advantage of all the things that purity offers, like laziness, robustness and modularity while efficiently communicating with the outside world.

Hello, world!

Up until now, we've always loaded our functions into GHCI to test them out and play with them. We've also explored the standard library functions that way. But now, after eight or so chapters, we're finally going to write our first real Haskell program! Yay! And sure enough, we're going to do the good old "hello, world" schtick.

Hey! For the purposes of this chapter, I'm going to assume you're using a unix-y environment for learning Haskell. If you're in Windows, I'd suggest you download Cygwin , which is a Linux-like environment for Windows, A.K.A. just what you need.

So, for starters, punch in the following in your favorite text editor:

main = putStrLn "hello, world"

We just defined a name called main and in it we call a function called putStrLn with the parameter "hello, world". Looks pretty much run of the mill, but it isn't, as we'll see in just a few moments. Save that file as helloworld.hs.

And now, we're going to do something we've never done before. We're actually going to compile our program! I'm so excited! Open up your terminal and navigate to the directory where helloworld.hs is located and do the following:

$ ghc --make helloworld [1 of 1] Compiling Main ( helloworld.hs, helloworld.o ) Linking helloworld ...

Okay! With any luck, you got something like this and now you can run your program by doing ./helloworld.

$ ./helloworld hello, world

And there we go, our first compiled program that printed out something to the terminal. How extraordinarily boring!

Let's examine what we wrote. First, let's look at the type of the function putStrLn.

ghci> :t putStrLn putStrLn :: String -> IO () ghci> :t putStrLn "hello, world" putStrLn "hello, world" :: IO ()

We can read the type of putStrLn like this: putStrLn takes a string and returns an I/O action that has a result type of () (i.e. the empty tuple, also know as unit). An I/O action is something that, when performed, will carry out an action with a side-effect (that's usually either reading from the input or printing stuff to the screen) and will also contain some kind of return value inside it. Printing a string to the terminal doesn't really have any kind of meaningful return value, so a dummy value of () is used.

The empty tuple is a value of () and it also has a type of () .

So, when will an I/O action be performed? Well, this is where main comes in. An I/O action will be performed when we give it a name of main and then run our program.

Having your whole program be just one I/O action seems kind of limiting. That's why we can use do syntax to glue together several I/O actions into one. Take a look at the following example:

main = do putStrLn "Hello, what's your name?" name <- getLine putStrLn ("Hey " ++ name ++ ", you rock!")

Ah, interesting, new syntax! And this reads pretty much like an imperative program. If you compile it and try it out, it will probably behave just like you expect it to. Notice that we said do and then we laid out a series of steps, like we would in an imperative program. Each of these steps is an I/O action. By putting them together with do syntax, we glued them into one I/O action. The action that we got has a type of IO (), because that's the type of the last I/O action inside.

Because of that, main always has a type signature of main :: IO something, where something is some concrete type. By convention, we don't usually specify a type declaration for main.

An interesting thing that we haven't met before is the third line, which states name <- getLine. It looks like it reads a line from the input and stores it into a variable called name. Does it really? Well, let's examine the type of getLine.

ghci> :t getLine getLine :: IO String

Aha, o-kay. getLine is an I/O action that contains a result type of String. That makes sense, because it will wait for the user to input something at the terminal and then that something will be represented as a string. So what's up with name <- getLine then? You can read that piece of code like this: perform the I/O action getLine and then bind its result value to name. getLine has a type of IO String, so name will have a type of String. You can think of an I/O action as a box with little feet that will go out into the real world and do something there (like write some graffiti on a wall) and maybe bring back some data. Once it's fetched that data for you, the only way to open the box and get the data inside it is to use the <- construct. And if we're taking data out of an I/O action, we can only take it out when we're inside another I/O action. This is how Haskell manages to neatly separate the pure and impure parts of our code. getLine is in a sense impure because its result value is not guaranteed to be the same when performed twice. That's why it's sort of tainted with the IO type constructor and we can only get that data out in I/O code. And because I/O code is tainted too, any computation that depends on tainted I/O data will have a tainted result.

When I say tainted, I don't mean tainted in such a way that we can never use the result contained in an I/O action ever again in pure code. No, we temporarily un-taint the data inside an I/O action when we bind it to a name. When we do name <- getLine, name is just a normal string, because it represents what's inside the box. We can have a really complicated function that, say, takes your name (a normal string) as a parameter and tells you your fortune and your whole life's future based on your name. We can do this:

main = do putStrLn "Hello, what's your name?" name <- getLine putStrLn $ "Read this carefully, because this is your future: " ++ tellFortune name

and tellFortune (or any of the functions it passes name to) doesn't have to know anything about I/O, it's just a normal String -> String function!

Take a look at this piece of code. Is it valid?

nameTag = "Hello, my name is " ++ getLine

If you said no, go eat a cookie. If you said yes, drink a bowl of molten lava. Just kidding, don't! The reason that this doesn't work is that ++ requires both its parameters to be lists over the same type. The left parameter has a type of String (or [Char] if you will), whilst getLine has a type of IO String. You can't concatenate a string and an I/O action. We first have to get the result out of the I/O action to get a value of type String and the only way to do that is to say something like name <- getLine inside some other I/O action. If we want to deal with impure data, we have to do it in an impure environment. So the taint of impurity spreads around much like the undead scourge and it's in our best interest to keep the I/O parts of our code as small as possible.

Every I/O action that gets performed has a result encapsulated within it. That's why our previous example program could also have been written like this:

main = do foo <- putStrLn "Hello, what's your name?" name <- getLine putStrLn ("Hey " ++ name ++ ", you rock!")

However, foo would just have a value of (), so doing that would be kind of moot. Notice that we didn't bind the last putStrLn to anything. That's because in a do block, the last action cannot be bound to a name like the first two were. We'll see exactly why that is so a bit later when we venture off into the world of monads. For now, you can think of it in the way that the do block automatically extracts the value from the last action and binds it to its own result.

Except for the last line, every line in a do block that doesn't bind can also be written with a bind. So putStrLn "BLAH" can be written as _ <- putStrLn "BLAH". But that's useless, so we leave out the <- for I/O actions that don't contain an important result, like putStrLn something.

Beginners sometimes think that doing

name = getLine

will read from the input and then bind the value of that to name. Well, it won't, all this does is give the getLine I/O action a different name called, well, name. Remember, to get the value out of an I/O action, you have to perform it inside another I/O action by binding it to a name with <-.

I/O actions will only be performed when they are given a name of main or when they're inside a bigger I/O action that we composed with a do block. We can also use a do block to glue together a few I/O actions and then we can use that I/O action in another do block and so on. Either way, they'll be performed only if they eventually fall into main.

Oh, right, there's also one more case when I/O actions will be performed. When we type out an I/O action in GHCI and press return, it will be performed.

ghci> putStrLn "HEEY" HEEY

Even when we just punch out a number or call a function in GHCI and press return, it will evaluate it (as much as it needs) and then call show on it and then it will print that string to the terminal using putStrLn implicitly.

Remember let bindings? If you don't, refresh your memory on them by reading this section. They have to be in the form of let bindings in expression, where bindings are names to be given to expressions and expression is the expression that is to be evaluated that sees them. We also said that in list comprehensions, the in part isn't needed. Well, you can use them in do blocks pretty much like you use them in list comprehensions. Check this out:

import Data.Char main = do putStrLn "What's your first name?" firstName <- getLine putStrLn "What's your last name?" lastName <- getLine let bigFirstName = map toUpper firstName bigLastName = map toUpper lastName putStrLn $ "hey " ++ bigFirstName ++ " " ++ bigLastName ++ ", how are you?"

See how the I/O actions in the do block are lined up? Also notice how the let is lined up with the I/O actions and the names of the let are lined up with each other? That's good practice, because indentation is important in Haskell. Now, we did map toUpper firstName, which turns something like "John" into a much cooler string like "JOHN". We bound that uppercased string to a name and then used it in a string later on that we printed to the terminal.

You may be wondering when to use <- and when to use let bindings? Well, remember, <- is (for now) for performing I/O actions and binding their results to names. map toUpper firstName, however, isn't an I/O action. It's a pure expression in Haskell. So use <- when you want to bind results of I/O actions to names and you can use let bindings to bind pure expressions to names. Had we done something like let firstName = getLine, we would have just called the getLine I/O action a different name and we'd still have to run it through a <- to perform it.

Now we're going to make a program that continuously reads a line and prints out the same line with the words reversed. The program's execution will stop when we input a blank line. This is the program:

main = do line <- getLine if null line then return () else do putStrLn $ reverseWords line main reverseWords :: String -> String reverseWords = unwords . map reverse . words

To get a feel of what it does, you can run it before we go over the code.

Protip: To run a program you can either compile it and then run the produced executable file by doing ghc --make helloworld and then ./helloworld or you can use the runhaskell command like so: runhaskell helloworld.hs and your program will be executed on the fly.

First, let's take a look at the reverseWords function. It's just a normal function that takes a string like "hey there man" and then calls words with it to produce a list of words like ["hey","there","man"]. Then we map reverse on the list, getting ["yeh","ereht","nam"] and then we put that back into one string by using unwords and the final result is "yeh ereht nam". See how we used function composition here. Without function composition, we'd have to write something like reverseWords st = unwords (map reverse (words st)).

What about main? First, we get a line from the terminal by performing getLine call that line line. And now, we have a conditional expression. Remember that in Haskell, every if must have a corresponding else because every expression has to have some sort of value. We make the if so that when a condition is true (in our case, the line that we entered is blank), we perform one I/O action and when it isn't, the I/O action under the else is performed. That's why in an I/O do block, ifs have to have a form of if condition then I/O action else I/O action.

Let's first take a look at what happens under the else clause. Because, we have to have exactly one I/O action after the else, we use a do block to glue together two I/O actions into one. You could also write that part out as:

else (do putStrLn $ reverseWords line main)

This makes it more explicit that the do block can be viewed as one I/O action, but it's uglier. Anyway, inside the do block, we call reverseWords on the line that we got from getLine and then print that out to the terminal. After that, we just perform main. It's called recursively and that's okay, because main is itself an I/O action. So in a sense, we go back to the start of the program.

Now what happens when null line holds true? What's after the then is performed in that case. If we look up, we'll see that it says then return (). If you've done imperative languages like C, Java or Python, you're probably thinking that you know what this return does and chances are you've already skipped this really long paragraph. Well, here's the thing: the return in Haskell is really nothing like the return in most other languages! It has the same name, which confuses a lot of people, but in reality it's quite different. In imperative languages, return usually ends the execution of a method or subroutine and makes it report some sort of value to whoever called it. In Haskell (in I/O actions specifically), it makes an I/O action out of a pure value. If you think about the box analogy from before, it takes a value and wraps it up in a box. The resulting I/O action doesn't actually do anything, it just has that value encapsulated as its result. So in an I/O context, return "haha" will have a type of IO String. What's the point of just transforming a pure value into an I/O action that doesn't do anything? Why taint our program with IO more than it has to be? Well, we needed some I/O action to carry out in the case of an empty input line. That's why we just made a bogus I/O action that doesn't do anything by writing return ().

Using return doesn't cause the I/O do block to end in execution or anything like that. For instance, this program will quite happily carry out all the way to the last line:

main = do return () return "HAHAHA" line <- getLine return "BLAH BLAH BLAH" return 4 putStrLn line

All these returns do is that they make I/O actions that don't really do anything except have an encapsulated result and that result is thrown away because it isn't bound to a name. We can use return in combination with <- to bind stuff to names.

main = do a <- return "hell" b <- return "yeah!" putStrLn $ a ++ " " ++ b

So you see, return is sort of the opposite to <-. While return takes a value and wraps it up in a box, <- takes a box (and performs it) and takes the value out of it, binding it to a name. But doing this is kind of redundant, especially since you can use let bindings in do blocks to bind to names, like so:

main = do let a = "hell" b = "yeah" putStrLn $ a ++ " " ++ b

When dealing with I/O do blocks, we mostly use return either because we need to create an I/O action that doesn't do anything or because we don't want the I/O action that's made up from a do block to have the result value of its last action, but we want it to have a different result value, so we use return to make an I/O action that always has our desired result contained and we put it at the end.

A do block can also have just one I/O action. In that case, it's the same as just writing the I/O action. Some people would prefer writing then do return () in this case because the else also has a do.

Before we move on to files, let's take a look at some functions that are useful when dealing with I/O.

putStr is much like putStrLn in that it takes a string as a parameter and returns an I/O action that will print that string to the terminal, only putStr doesn't jump into a new line after printing out the string while putStrLn does.

main = do putStr "Hey, " putStr "I'm " putStrLn "Andy!"

$ runhaskell putstr_test.hs Hey, I'm Andy!

Its type signature is putStr :: String -> IO (), so the result encapsulated within the resulting I/O action is the unit. A dud value, so it doesn't make sense to bind it.

putChar takes a character and returns an I/O action that will print it out to the terminal.

main = do putChar 't' putChar 'e' putChar 'h'

$ runhaskell putchar_test.hs teh

putStr is actually defined recursively with the help of putChar. The edge condition of putStr is the empty string, so if we're printing an empty string, just return an I/O action that does nothing by using return (). If it's not empty, then print the first character of the string by doing putChar and then print of them using putStr.

putStr :: String -> IO () putStr [] = return () putStr (x:xs) = do putChar x putStr xs

See how we can use recursion in I/O, just like we can use it in pure code. Just like in pure code, we define the edge case and then think what the result actually is. It's an action that first outputs the first character and then outputs the rest of the string.

print takes a value of any type that's an instance of Show (meaning that we know how to represent it as a string), calls show with that value to stringify it and then outputs that string to the terminal. Basically, it's just putStrLn . show. It first runs show on a value and then feeds that to putStrLn, which returns an I/O action that will print out our value.

main = do print True print 2 print "haha" print 3.2 print [3,4,3]

$ runhaskell print_test.hs True 2 "haha" 3.2 [3,4,3]

As you can see, it's a very handy function. Remember how we talked about how I/O actions are performed only when they fall into main or when we try to evaluate them in the GHCI prompt? When we type out a value (like 3 or [1,2,3]) and press the return key, GHCI actually uses print on that value to display it on our terminal!

ghci> 3 3 ghci> print 3 3 ghci> map (++"!") ["hey","ho","woo"] ["hey!","ho!","woo!"] ghci> print (map (++"!") ["hey","ho","woo"]) ["hey!","ho!","woo!"]

When we want to print out strings, we usually use putStrLn because we don't want the quotes around them, but for printing out values of other types to the terminal, print is used the most.

getChar is an I/O action that reads a character from the input. Thus, its type signature is getChar :: IO Char, because the result contained within the I/O action is a Char. Note that due to buffering, reading of the characters won't actually happen until the user mashes the return key.

main = do c <- getChar if c /= ' ' then do putChar c main else return ()

This program looks like it should read a character and then check if it's a space. If it is, halt execution and if it isn't, print it to the terminal and then do the same thing all over again. Well, it kind of does, only not in the way you might expect. Check this out:

$ runhaskell getchar_test.hs hello sir hello

The second line is the input. We input hello sir and then press return. Due to buffering, the execution of the program will begin only when after we've hit return and not after every inputted character. But once we press return, it acts on what we've been putting in so far. Try playing with this program to get a feel for it!

The when function is found in Control.Monad (to get access to it, do import Control.Monad). It's interesting because in a do block it looks like a control flow statement, but it's actually a normal function. It takes a boolean value and an I/O action if that boolean value is True, it returns the same I/O action that we supplied to it. However, if it's False, it returns the return (), action, so an I/O action that doesn't do anything. Here's how we could rewrite the previous piece of code with which we demonstrated getChar by using when:

import Control.Monad main = do c <- getChar when (c /= ' ') $ do putChar c main

So as you can see, it's useful for encapsulating the if something then do some I/O action else return () pattern.

sequence takes a list of I/O actions and returns an I/O actions that will perform those actions one after the other. The result contained in that I/O action will be a list of the results of all the I/O actions that were performed. Its type signature is sequence :: [IO a] -> IO [a]. Doing this:

main = do a <- getLine b <- getLine c <- getLine print [a,b,c]

Is exactly the same as doing this:.

main = do rs <- sequence [getLine, getLine, getLine] print rs

So sequence [getLine, getLine, getLine] makes an I/O action that will perform getLine three times. If we bind that action to a name, the result is a list of all the results, so in our case, a list of three things that the user entered at the prompt.

A common pattern with sequence is when we map functions like print or putStrLn over lists. Doing map print [1,2,3,4] won't create an I/O action. It will create a list of I/O actions, because that's like writing [print 1, print 2, print 3, print 4]. If we want to transform that list of I/O actions into an I/O action, we have to sequence it.

ghci> sequence (map print [1,2,3,4,5]) 1 2 3 4 5 [(),(),(),(),()]

What's with the [(),(),(),(),()] at the end? Well, when we evaluate an I/O action in GHCI, it's performed and then its result is printed out, unless that result is (), in which case it's not printed out. That's why evaluating putStrLn "hehe" in GHCI just prints out hehe (because the contained result in putStrLn "hehe" is ()). But when we do getLine in GHCI, the result of that I/O action is printed out, because getLine has a type of IO String.

Because mapping a function that returns an I/O action over a list and then sequencing it is so common, the utility functions mapM and mapM_ were introduced. mapM takes a function and a list, maps the function over the list and then sequences it. mapM_ does the same, only it throws away the result later. We usually use mapM_ when we don't care what result our sequenced I/O actions have.

ghci> mapM print [1,2,3] 1 2 3 [(),(),()] ghci> mapM_ print [1,2,3] 1 2 3

forever takes an I/O action and returns an I/O action that just repeats the I/O action it got forever. It's located in Control.Monad. This little program will indefinitely ask the user for some input and spit it back to him, CAPSLOCKED:

import Control.Monad import Data.Char main = forever $ do putStr "Give me some input: " l <- getLine putStrLn $ map toUpper l

forM (located in Control.Monad) is like mapM, only that it has its parameters switched around. The first parameter is the list and the second one is the function to map over that list, which is then sequenced. Why is that useful? Well, with some creative use of lambdas and do notation, we can do stuff like this:

import Control.Monad main = do colors <- forM [1,2,3,4] (\a -> do putStrLn $ "Which color do you associate with the number " ++ show a ++ "?" color <- getLine return color) putStrLn "The colors that you associate with 1, 2, 3 and 4 are: " mapM putStrLn colors

The (\a -> do ... ) is a function that takes a number and returns an I/O action. We have to surround it with parentheses, otherwise the lambda thinks the last two I/O actions belong to it. Notice that we do return color in the inside do block. We do that so that the I/O action which the do block defines has the result of our color contained within it. We actually didn't have to do that, because getLine already has that contained within it. Doing color <- getLine and then return color is just unpacking the result from getLine and then repackaging it again, so it's the same as just doing getLine. The forM (called with its two parameters) produces an I/O action, whose result we bind to colors. colors is just a normal list that holds strings. At the end, we print out all those colors by doing mapM putStrLn colors.

You can think of forM as meaning: make an I/O action for every element in this list. What each I/O action will do can depend on the element that was used to make the action. Finally, perform those actions and bind their results to something. We don't have to bind it, we can also just throw it away.

$ runhaskell form_test.hs Which color do you associate with the number 1? white Which color do you associate with the number 2? blue Which color do you associate with the number 3? red Which color do you associate with the number 4? orange The colors that you associate with 1, 2, 3 and 4 are: white blue red orange

We could have actually done that without forM, only with forM it's more readable. Normally we write forM when we want to map and sequence some actions that we define there on the spot using do notation. In the same vein, we could have replaced the last line with forM colors putStrLn.

In this section, we learned the basics of input and output. We also found out what I/O actions are, how they enable us to do input and output and when they are actually performed. To reiterate, I/O actions are values much like any other value in Haskell. We can pass them as parameters to functions and functions can return I/O actions as results. What's special about them is that if they fall into the main function (or are the result in a GHCI line), they are performed. And that's when they get to write stuff on your screen or play Yakety Sax through your speakers. Each I/O action can also encapsulate a result with which it tells you what it got from the real world.

Don't think of a function like putStrLn as a function that takes a string and prints it to the screen. Think of it as a function that takes a string and returns an I/O action. That I/O action will, when performed, print beautiful poetry to your terminal.

Files and streams

getChar is an I/O action that reads a single character from the terminal. getLine is an I/O action that reads a line from the terminal. These two are pretty straightforward and most programming languages have some functions or statements that are parallel to them. But now, let's meet getContents. getContents is an I/O action that reads everything from the standard input until it encounters an end-of-file character. Its type is getContents :: IO String. What's cool about getContents is that it does lazy I/O. When we do foo <- getContents, it doesn't read all of the input at once, store it in memory and then bind it to foo. No, it's lazy! It'll say: "Yeah yeah, I'll read the input from the terminal later as we go along, when you really need it!".

getContents is really useful when we're piping the output from one program into the input of our program. In case you don't know how piping works in unix-y systems, here's a quick primer. Let's make a text file that contains the following little haiku:

I'm a lil' teapot What's with that airplane food, huh? It's so small, tasteless

Yeah, the haiku sucks, what of it? If anyone knows of any good haiku tutorials, let me know.

Now, recall the little program we wrote when we were introducing the forever function. It prompted the user for a line, returned it to him in CAPSLOCK and then did that all over again, indefinitely. Just so you don't have to scroll all the way back, here it is again:

import Control.Monad import Data.Char main = forever $ do putStr "Give me some input: " l <- getLine putStrLn $ map toUpper l

We'll save that program as capslocker.hs or something and compile it. And then, we're going to use a unix pipe to feed our text file directly to our little program. We're going to use the help of the GNU cat program, which prints out a file that's given to it as an argument. Check it out, booyaka!

$ ghc --make capslocker [1 of 1] Compiling Main ( capslocker.hs, capslocker.o ) Linking capslocker ... $ cat haiku.txt I'm a lil' teapot What's with that airplane food, huh? It's so small, tasteless $ cat haiku.txt | ./capslocker I'M A LIL' TEAPOT WHAT'S WITH THAT AIRPLANE FOOD, HUH? IT'S SO SMALL, TASTELESS capslocker <stdin>: hGetLine: end of file

As you can see, piping the output of one program (in our case that was cat) to the input of another (capslocker) is done with the | character. What we've done is pretty much equivalent to just running capslocker, typing our haiku at the terminal and then issuing an end-of-file character (that's usually done by pressing Ctrl-D). It's like running cat haiku.txt and saying: “Wait, don't print this out to the terminal, tell it to capslocker instead!”.

So what we're essentially doing with that use of forever is taking the input and transforming it into some output. That's why we can use getContents to make our program even shorter and better:

import Data.Char main = do contents <- getContents putStr (map toUpper contents)

We run the getContents I/O action and name the string it produces contents. Then, we map toUpper over that string and print that to the terminal. Keep in mind that because strings are basically lists, which are lazy, and getContents is I/O lazy, it won't try to read the whole content at once and store it into memory before printing out the capslocked version. Rather, it will print out the capslocked version as it reads it, because it will only read a line from the input when it really needs to.

$ cat haiku.txt | ./capslocker I'M A LIL' TEAPOT WHAT'S WITH THAT AIRPLANE FOOD, HUH? IT'S SO SMALL, TASTELESS

Cool, it works. What if we just run capslocker and try to type in the lines ourselves?

$ ./capslocker hey ho HEY HO lets go LETS GO

We got out of that by pressing Ctrl-D. Pretty nice! As you can see, it prints out our capslocked input back to us line by line. When the result of getContents is bound to contents, it's not represented in memory as a real string, but more like a promise that it will produce the string eventually. When we map toUpper over contents, that's also a promise to map that function over the eventual contents. And finally when putStr happens, it says to the previous promise: "Hey, I need a capslocked line!". It doesn't have any lines yet, so it says to contents: "Hey, how about actually getting a line from the terminal?". So that's when getContents actually reads from the terminal and gives a line to the code that asked it to produce something tangible. That code then maps toUpper over that line and gives it to putStr, which prints it. And then, putStr says: "Hey, I need the next line, come on!" and this repeats until there's no more input, which is signified by an end-of-file character.

Let's make program that takes some input and prints out only those lines that are shorter than 10 characters. Observe:

main = do contents <- getContents putStr (shortLinesOnly contents) shortLinesOnly :: String -> String shortLinesOnly input = let allLines = lines input shortLines = filter (\line -> length line < 10) allLines result = unlines shortLines in result

We've made our I/O part of the program as short as possible. Because our program is supposed to take some input and print out some output based on the input, we can implement it by reading the input contents, running a function on them and then printing out what the function gave back.

The shortLinesOnly function works like this: it takes a string, like "short

looooooooooooooong

short again". That string has three lines, two of them are short and the middle one is long. It runs the lines function on that string, which converts it to ["short", "looooooooooooooong", "short again"], which we then bind to the name allLines. That list of string is then filtered so that only those lines that are shorter than 10 characters remain in the list, producing ["short", "short again"]. And finally, unlines joins that list into a single newline delimited string, giving "short

short again". Let's give it a go.

i'm short so am i i am a loooooooooong line!!! yeah i'm long so what hahahaha!!!!!! short line loooooooooooooooooooooooooooong short

$ ghc --make shortlinesonly [1 of 1] Compiling Main ( shortlinesonly.hs, shortlinesonly.o ) Linking shortlinesonly ... $ cat shortlines.txt | ./shortlinesonly i'm short so am i short

We pipe the contents of shortlines.txt into the output of shortlinesonly and as the output, we only get the short lines.

This pattern of getting some string from the input, transforming it with a function and then outputting that is so common that there exists a function which makes that even easier, called interact. interact takes a function of type String -> String as a parameter and returns an I/O action that will take some input, run that function on it and then print out the function's result. Let's modify our program to use that.

main = interact shortLinesOnly shortLinesOnly :: String -> String shortLinesOnly input = let allLines = lines input shortLines = filter (\line -> length line < 10) allLines result = unlines shortLines in result

Just to show that this can be achieved in much less code (even though it will be less readable) and to demonstrate our function composition skill, we're going to rework that a bit further.

main = interact $ unlines . filter ((<10) . length) . lines

Wow, we actually reduced that to just one line, which is pretty cool!

interact can be used to make programs that are piped some contents into them and then dump some result out or it can be used to make programs that appear to take a line of input from the user, give back some result based on that line and then take another line and so on. There isn't actually a real distinction between the two, it just depends on how the user is supposed to use them.

Let's make a program that continuously reads a line and then tells us if the line is a palindrome or not. We could just use getLine to read a line, tell the user if it's a palindrome and then run main all over again. But it's simpler if we use interact. When using interact, think about what you need to do to transform some input into the desired output. In our case, we have to replace each line of the input with either "palindrome" or "not a palindrome". So we have to write a function that transforms something like "elephant

ABCBA

whatever" into "not a palindrome

palindrome

not a palindrome". Let's do this!

respondPalindromes contents = unlines (map (\xs -> if isPalindrome xs then "palindrome" else "not a palindrome") (lines contents)) where isPalindrome xs = xs == reverse xs

Let's write this in point-free.

respondPalindromes = unlines . map (\xs -> if isPalindrome xs then "palindrome" else "not a palindrome") . lines where isPalindrome xs = xs == reverse xs

Pretty straightforward. First it turns something like "elephant

ABCBA

whatever" into ["elephant", "ABCBA", "whatever"] and then it maps that lambda over it, giving ["not a palindrome", "palindrome", "not a palindrome"] and then unlines joins that list into a single, newline delimited string. Now we can do

main = interact respondPalindromes

Let's test this out:

$ runhaskell palindromes.hs hehe not a palindrome ABCBA palindrome cookie not a palindrome

Even though we made a program that transforms one big string of input into another, it acts like we made a program that does it line by line. That's because Haskell is lazy and it wants to print the first line of the result string, but it can't because it doesn't have the first line of the input yet. So as soon as we give it the first line of input, it prints the first line of the output. We get out of the program by issuing an end-of-line character.

We can also use this program by just piping a file into it. Let's say we have this file:

dogaroo radar rotor madam

and we save it as words.txt. This is what we get by piping it into our program:

$ cat words.txt | runhaskell palindromes.hs not a palindrome palindrome palindrome palindrome

Again, we get the same output as if we had run our program and put in the words ourselves at the standard input. We just don't see the input that palindromes.hs because the input came from the file and not from us typing the words in.

So now you probably see how lazy I/O works and how we can use it to our advantage. You can just think in terms of what the output is supposed to be for some given input and write a function to do that transformation. In lazy I/O, nothing is eaten from the input until it absolutely has to be because what we want to print right now depends on that input.

So far, we've worked with I/O by printing out stuff to the terminal and reading from it. But what about reading and writing files? Well, in a way, we've already been doing that. One way to think about reading from the terminal is to imagine that it's like reading from a (somewhat special) file. Same goes for writing to the terminal, it's kind of like writing to a file. We can call these two files stdout and stdin, meaning standard output and standard input, respectively. Keeping that in mind, we'll see that writing to and reading from files is very much like writing to the standard output and reading from the standard input.

We'll start off with a really simple program that opens a file called girlfriend.txt, which contains a verse from Avril Lavigne's #1 hit Girlfriend, and just prints out out to the terminal. Here's girlfriend.txt:

Hey! Hey! You! You! I don't like your girlfriend! No way! No way! I think you need a new one!

And here's our program:

import System.IO main = do handle <- openFile "girlfriend.txt" ReadMode contents <- hGetContents handle putStr contents hClose handle

Running it, we get the expected result:

$ runhaskell girlfriend.hs Hey! Hey! You! You! I don't like your girlfriend! No way! No way! I think you need a new one!

Let's go over this line by line. The first line is just four exclamations, to get our attention. In the second line, Avril tells us that she doesn't like our current romantic partner. The third line serves to emphasize that disapproval, whereas the fourth line suggests we should seek out a new girlfriend.

Let's also go over the program line by line! Our program is several I/O actions glued together with a do block. In the first line of the do block, we notice a new function called openFile. This is its type signature: openFile :: FilePath -> IOMode -> IO Handle. If you read that out loud, it states: openFile takes a file path and an IOMode and returns an I/O action that will open a file and have the file's associated handle encapsulated as its result.

FilePath is just a type synonym for String, simply defined as:

type FilePath = String

IOMode is a type that's defined like this:

data IOMode = ReadMode | WriteMode | AppendMode | ReadWriteMode

Just like our type that represents the seven possible values for the days of the week, this type is an enumeration that represents what we want to do with our opened file. Very simple. Just note that this type is IOMode and not IO Mode. IO Mode would be the type of an I/O action that has a value of some type Mode as its result, but IOMode is just a simple enumeration.

Finally, it returns an I/O action that will open the specified file in the specified mode. If we bind that action to something we get a Handle. A value of type Handle represents where our file is. We'll use that handle so we know which file to read from. It would be stupid to read a file but not bind that read to a handle because we wouldn't be able to do anything with the file. So in our case, we bound the handle to handle.

In the next line, we see a function called hGetContents. It takes a Handle, so it knows which file to get the contents from and returns an IO String — an I/O action that holds as its result the contents of the file. This function is pretty much like getContents. The only difference is that getContents will automatically read from the standard input (that is from the terminal), whereas hGetContents takes a file handle which tells it which file to read from. In all other respects, they work the same. And just like getContents, hGetContents won't attempt to read the file at once and store it in memory, but it will read it as needed. That's really cool because we can treat contents as the whole contents of the file, but it's not really loaded in memory. So if this were a really huge file, doing hGetContents wouldn't choke up our memory, but it would read only what it needed to from the file, when it needed to.

Note the difference between the handle used to identify a file and the contents of the file, bound in our program to handle and contents. The handle is just something by which we know what our file is. If you imagine your whole file system to be a really big book and each file is a chapter in the book, the handle is a bookmark that shows where you're currently reading (or writing) a chapter, whereas the contents are the actual chapter.

With putStr contents we just print the contents out to the standard output and then we do hClose, which takes a handle and returns an I/O action that closes the file. You have to close the file yourself after opening it with openFile!

Another way of doing what we just did is to use the withFile function, which has a type signature of withFile :: FilePath -> IOMode -> (Handle -> IO a) -> IO a. It takes a path to a file, an IOMode and then it takes a function that takes a handle and returns some I/O action. What it returns is an I/O action that will open that file, do something we want with the file and then close it. The result encapsulated in the final I/O action that's returned is the same as the result of the I/O action that the function we give it returns. This might sound a bit complicated, but it's really simple, especially with lambdas, here's our previous example rewritten to use withFile:

import System.IO main = do withFile "girlfriend.txt" ReadMode (\handle -> do contents <- hGetContents handle putStr contents)

As you can see, it's very similar to the previous piece of code. (\handle -> ... ) is the function that takes a handle and returns an I/O action and it's usually done like this, with a lambda. The reason it has to take a function that returns an I/O action instead of just taking an I/O action to do and then close the file is because the I/O action that we'd pass to it wouldn't know on which file to operate. This way, withFile opens the file and then passes the handle to the function we gave it. It gets an I/O action back from that function and then makes an I/O action that's just like it, only it closes the file afterwards. Here's how we can make our own withFile function:

withFile' :: FilePath -> IOMode -> (Handle -> IO a) -> IO a withFile' path mode f = do handle <- openFile path mode result <- f handle hClose handle return result

We know the result will be an I/O action so we can just start off with a do. First we open the file and get a handle from it. Then, we apply handle to our function to get back the I/O action that does all the work. We bind that action to result, close the handle and then do return result. By returning the result encapsulated in the I/O action that we got from f, we make it so that our I/O action encapsulates the same result as the one we got from f handle. So if f handle returns an action that will read a number of lines from the standard input and write them to a file and have as its result encapsulated the number of lines it read, if we used that with withFile', the resulting I/O action would also have as its result the number of lines read.

Just like we have hGetContents that works like getContents but for a specific file, there's also hGetLine, hPutStr, hPutStrLn, hGetChar, etc. They work just like their counterparts without the h, only they take a handle as a parameter and operate on that specific file instead of operating on standard input or standard output. Example: putStrLn is a function that takes a string and returns an I/O action that will print out that string to the terminal and a newline after it. hPutStrLn takes a handle and a string and returns an I/O action that will write that string to the file associated with the handle and then put a newline after it. In the same vein, hGetLine takes a handle and returns an I/O action that reads a line from its file.

Loading files and then treating their contents as strings is so common that we have these three nice little functions to make our work even easier:

readFile has a type signature of readFile :: FilePath -> IO String. Remember, FilePath is just a fancy name for String. readFile takes a path to a file and returns an I/O action that will read that file (lazily, of course) and bind its contents to something as a string. It's usually more handy than doing openFile and binding it to a handle and then doing hGetContents. Here's how we could have written our previous example with readFile:

import System.IO main = do contents <- readFile "girlfriend.txt" putStr contents

Because we don't get a handle with which to identify our file, we can't close it manually, so Haskell does that for us when we use readFile.

writeFile has a type of writeFile :: FilePath -> String -> IO (). It takes a path to a file and a string to write to that file and returns an I/O action that will do the writing. If such a file already exists, it will be stomped down to zero length before being written on. Here's how to turn girlfriend.txt into a CAPSLOCKED version and write it to girlfriendcaps.txt:

import System.IO import Data.Char main = do contents <- readFile "girlfriend.txt" writeFile "girlfriendcaps.txt" (map toUpper contents)

$ runhaskell girlfriendtocaps.hs $ cat girlfriendcaps.txt HEY! HEY! YOU! YOU! I DON'T LIKE YOUR GIRLFRIEND! NO WAY! NO WAY! I THINK YOU NEED A NEW ONE!

appendFile has a type signature that's just like writeFile, only appendFile doesn't truncate the file to zero length if it already exists but it appends stuff to it.

Let's say we have a file todo.txt that has one task per line that we have to do. Now let's make a program that takes a line from the standard input and adds that to our to-do list.

import System.IO main = do todoItem <- getLine appendFile "todo.txt" (todoItem ++ "

")

$ runhaskell appendtodo.hs Iron the dishes $ runhaskell appendtodo.hs Dust the dog $ runhaskell appendtodo.hs Take salad out of the oven $ cat todo.txt Iron the dishes Dust the dog Take salad out of the oven

We needed to add the "

" to the end of each line because getLine doesn't give us a newline character at the end.

Ooh, one more thing. We talked about how doing contents <- hGetContents handle doesn't cause the whole file to be read at once and stored in-memory. It's I/O lazy, so doing this:

main = do withFile "something.txt" ReadMode (\handle -> do contents <- hGetContents handle putStr contents)

is actually like connecting a pipe from the file to the output. Just like you can think of lists as streams, you can also think of files as streams. This will read one line at a time and print it out to the terminal as it goes along. So you may be asking, how wide is this pipe then? How often will the disk be accessed? Well, for text files, the default buffering is line-buffering usually. That means that the smallest part of the file to be read at once is one line. That's why in this case it actually reads a line, prints it to the output, reads the next line, prints it, etc. For binary files, the default buffering is usually block-buffering. That means that it will read the file chunk by chunk. The chunk size is some size that your operating system thinks is cool.

You can control how exactly buffering is done by using the hSetBuffering function. It takes a handle and a BufferMode and returns an I/O action that sets the buffering. BufferMode is a simple enumeration data type and the possible values it can hold are: NoBuffering, LineBuffering or BlockBuffering (Maybe Int). The Maybe Int is for how big the chunk should be, in bytes. If it's Nothing, then the operating system determines the chunk size. NoBuffering means that it will be read one character at a time. NoBuffering usually sucks as a buffering mode because it has to access the disk so much.

Here's our previous piece of code, only it doesn't read it line by line but reads the whole file in chunks of 2048 bytes.

main = do withFile "something.txt" ReadMode (\handle -> do hSetBuffering handle $ BlockBuffering (Just 2048) contents <- hGetContents handle putStr contents)

Reading files in bigger chunks can help if we want to minimize disk access or when our file is actually a slow network resource.

We can also use hFlush, which is a function that takes a handle and returns an I/O action that will flush the buffer of the file associated with the handle. When we're doing line-buffering, the buffer is flushed after every line. When we're doing block-buffering, it's after we've read a chunk. It's also flushed after closing a handle. That means that when we've reached a newline character, the reading (or writing) mechanism reports all the data so far. But we can use hFlush to force that reporting of data that has been read so far. After flushing, the data is available to other programs that are running at the same time.

Think of reading a block-buffered file like this: your toilet bowl is set to flush itself after it has one gallon of water inside it. So you start pouring in water and once the gallon mark is reached, that water is automatically flushed and the data in the water that you've poured in so far is read. But you can flush the toilet manually too by pressing the button on the toilet. This makes the toilet flush and all the water (data) inside the toilet is read. In case you haven't noticed, flushing the toilet manually is a metaphor for hFlush. This is not a very great analogy by programming analogy standards, but I wanted a real world object that can be flushed for the punchline.

We already made a program to add a new item to our to-do list in todo.txt, now let's make a program to remove an item. I'll just paste the code and then we'll go over the program together so you see that it's really easy. We'll be using a few new functions from System.Directory and one new function from System.IO, but they'll all be explained.

Anyway, here's the program for removing an item from todo.txt:

import System.IO import System.Directory import Data.List main = do handle <- openFile "todo.txt" ReadMode (tempName, tempHandle) <- openTempFile "." "temp" contents <- hGetContents handle let todoTasks = lines contents numberedTasks = zipWith (

line -> show n ++ " - " ++ line) [0..] todoTasks putStrLn "These are your TO-DO items:" putStr $ unlines numberedTasks putStrLn "Which one do you want to delete?" numberString <- getLine let number = read numberString newTodoItems = delete (todoTasks !! number) todoTasks hPutStr tempHandle $ unlines newTodoItems hClose handle hClose tempHandle removeFile "todo.txt" renameFile tempName "todo.txt"

At first, we just open todo.txt in read mode and bind its handle to handle.

Next up, we use a function that we haven't met before which is from System.IO — openTempFile. Its name is pretty self-explanatory. It takes a path to a temporary directory and a template name for a file and opens a temporary file. We used "." for the temporary directory, because . denotes the current directory on just about any OS. We used "temp" as the template name for the temporary file, which means that the temporary file will be named temp plus some random characters. It returns an I/O action that makes the temporary file and the result in that I/O action is a pair of values: the name of the temporary file and a handle. We could just open a normal file called todo2.txt or something like that but it's better practice to use openTempFile so you know you're probably not overwriting anything.

The reason we didn't use getCurrentDirectory to get the current directory and then pass it to openTempFile but instead just passed "." to openTempFile is because . refers to the current directory on unix-like system and Windows

Next up, we bind the contents of todo.txt to contents. Then, split that string into a list of strings, each string one line. So todoTasks is now something like ["Iron the dishes", "Dust the dog", "Take salad out of the oven"]. We zip the numbers from 0 onwards and that list with a function that takes a number, like 3, and a string, like "hey" and returns "3 - hey", so numberedTasks is ["0 - Iron the dishes", "1 - Dust the dog" .... We join that list of strings into a single newline delimited string with unlines and print that string out to the terminal. Note that instead of doing that, we could have also done mapM putStrLn numberedTasks

We ask the user which one they want to delete and wait for them to enter a number. Let's say they want to delete number 1, which is Dust the dog, so they punch in 1. numberString is now "1" and because we want a number, not a string, we run read on that to get 1 and bind that to number.

Remember the delete and !! functions from Data.List. !! returns an element from a list with some index and delete deletes the first occurence of an element in a list and returns a new list without that occurence. (todoTasks !! number) (number is now 1) returns "Dust the dog". We bind todoTasks without the first occurence of "Dust the dog" to newTodoItems and then join that into a single string with unlines before writing it to the temporary file that we opened. The old file is now unchanged and the temporary file contains all the lines that the old one does, except the one we deleted.

After that we close both the original and the temporary files and then we remove the original one with removeFile, which, as you can see, takes a path to a file and deletes it. After deleting the old todo.txt, we use renameFile to rename the temporary file to todo.txt. Be careful, removeFile and renameFile (which are both in System.Directory by the way) take file paths as their parameters, not handles.

And that's that! We could have done this in even fewer lines, but we were very careful not to overwrite any existing files and politely asked the operating system to tell us where we can put our temporary file. Let's give this a go!

$ runhaskell deletetodo.hs These are your TO-DO items: 0 - Iron the dishes 1 - Dust the dog 2 - Take salad out of the oven Which one do you want to delete? 1 $ cat todo.txt Iron the dishes Take salad out of the oven $ runhaskell deletetodo.hs These are your TO-DO items: 0 - Iron the dishes 1 - Take salad out of the oven Which one do you want to delete? 0 $ cat todo.txt Take salad out of the oven

Command line arguments

Dealing with command line arguments is pretty much a necessity if you want to make a script or application that runs on a terminal. Luckily, Haskell's standard library has a nice way of getting command line arguments of a program.

In the previous section, we made one program for adding a to-do item to our to-do list and one program for removing an item. There are two problems with the approach we took. The first one is that we just hardcoded the name of our to-do file in our code. We just decided that the file will be named todo.txt and that the user will never have a need for managing several to-do lists.

One way to solve that is to always ask the user which file they want to use as their to-do list. We used that approach when we wanted to know which item the user wants to delete. It works, but it's not so good, because it requires the user to run the program, wait for the program to ask something and then tell that to the program. That's called an interactive program and the difficult bit with interactive command line programs is this — what if you want to automate the execution of that program, like with a batch script? It's harder to make a batch script that interacts with a program than a batch script that just calls one program or several of them.

That's why it's sometimes better to have the user tell the program what they want when they run the program, instead of having the program ask the user once it's run. And what better way to have the user tell the program what they want it to do when they run it than via command line arguments!

The System.Environment module has two cool I/O actions. One is getArgs, which has a type of getArgs :: IO [String] and is an I/O action that will get the arguments that the program was run with and have as its contained result a list with the arguments. getProgName has a type of getProgName :: IO String and is an I/O action that contains the program name.

Here's a small program that demonstrates how these two work:

import System.Environment import Data.List main = do args <- getArgs progName <- getProgName putStrLn "The arguments are:" mapM putStrLn args putStrLn "The program name is:" putStrLn progName

We bind getArgs and progName to args and progName. We say The arguments are: and then for every argument in args, we do putStrLn. Finally, we also print out the program name. Let's compile this as arg-test.

$ ./arg-test first second w00t "multi word arg" The arguments are: first second w00t multi word arg The program name is: arg-test

Nice. Armed with this knowledge you could create some cool command line apps. In fact, let's go ahead and make one. In the previous section, we made a separate program for adding tasks and a separate program for deleting them. Now, we're going to join that into one program, what it does will depend on the command line arguments. We're also going to make it so it can operate on different files, not just todo.txt.

We'll call it simply todo and it'll be able to do (haha!) three different things:

View tasks

Add tasks

Delete tasks

We're not going to concern ourselves with possible bad input too much right now.

Our program will be made so that if we want to add the task Find the magic sword of power to the file todo.txt, we have to punch in todo add todo.txt "Find the magic sword of power" in our terminal. To view the tasks we'll just do todo view todo.txt and to remove the task with the index of 2, we'll do todo remove todo.txt 2.

We'll start by making a dispatch association list. It's going to be a simple association list that has command line arguments as keys and functions as their corresponding values. All these functions will be of type [String] -> IO (). They're going to take the argument list as a parameter and return an I/O action that does the viewing, adding, deleting, etc.

import System.Environment import System.Directory import System.IO import Data.List dispatch :: [(String, [String] -> IO ())] dispatch = [ ("add", add) , ("view", view) , ("remove", remove) ]

We have yet to define main, add, view and remove, so let's start with main:

main = do (command:args) <- getArgs let (Just action) = lookup command dispatch action args

First, we get the arguments and bind them to (command:args). If you remember your pattern matching, this means that the first argument will get bound to command and the rest of them will get bound to args. If we call our program like todo add todo.txt "Spank the monkey", command will be "add" and args will be ["todo.xt", "Spank the monkey"].

In the next line, we look up our command in the dispatch list. Because "add" points to add, we get Just add as a result. We use pattern matching again to extract our function out of the Maybe. What happens if our command isn't in the dispatch list? Well then the lookup will return Nothing, but we said we won't concern ourselves with failing gracefully too much, so the pattern matching will fail and our program will throw a fit.

Finally, we call our action function with the rest of the argument list. That will return an I/O action that either adds an item, displays a list of items or deletes an item and because that action is part of the main do block, it will get performed. If we follow our concrete example so far and our action function is add, it will get called with args (so ["todo.txt", "Spank the monkey"]) and return an I/O action that adds Spank the monkey to todo.txt.

Great! All that's left now is to implement add, view and remove. Let's start with add:

add :: [String] -> IO () add [fileName, todoItem] = appendFile fileName (todoItem ++ "

")

If we call our program like todo add todo.txt "Spank the monkey", the "add" will get bound to command in the first pattern match in the main block, whereas ["todo.txt", "Spank the monkey"] will get passed to the function that we get from the dispatch list. So, because we're not dealing with bad input right now, we just pattern match against a list with those two elements right away and return an I/O action that appends that line to the end of the file, along with a newline character.

Next, let's implement the list viewing functionality. If we want to view the items in a file, we do todo view todo.txt. So in the first pattern match, command will be "view" and args will be ["todo.txt"].

view :: [String] -> IO () view [fileName] = do contents <- readFile fileName let todoTasks = lines contents numberedTasks = zipWith (

line -> show n ++ " - " ++ line) [0..] todoTasks putStr $ unlines numberedTasks

We already did pretty much the same thing in the program that only deleted tasks when we were displaying the tasks so that the user can choose one for deletion, only here we just display the tasks.

And finally, we're going to implement remove. It's going to be very similar to the program that only deleted the tasks, so if you don't understand how deleting an item here works, check out the explanation under that program. The main difference is that we're not hardcoding todo.txt but getting it as an argument. We're also not prompting the user for the task number to delete, we're getting it as an argument.

remove :: [String] -> IO () remove [fileName, numberString] = do handle <- openFile fileName ReadMode (tempName, tempHandle) <- openTempFile "." "temp" contents <- hGetContents handle let number = read numberString todoTasks = lines contents newTodoItems = delete (todoTasks !! number) todoTasks hPutStr tempHandle $ unlines newTodoItems hClose handle hClose tempHandle removeFile fileName renameFile tempName fileName

We opened up the file based on fileName and opened a temporary file, deleted the line with the index that the user wants to delete, wrote that to the temporary file, removed the original file and renamed the temporary file back to fileName.

Here's the whole program at once, in all its glory!

import System.Environment import System.Directory import System.IO import Data.List dispatch :: [(String, [String] -> IO ())] dispatch = [ ("add", add) , ("view", view) , ("remove", remove) ] main = do (command:args) <- getArgs let (Just action) = lookup command dispatch action args add :: [String] -> IO () add [fileName, todoItem] = appendFile fileName (todoItem ++ "

") view :: [String] -> IO () view [fileName] = do contents <- readFile fileName let todoTasks = lines contents numberedTasks = zipWith (

line -> show n ++ " - " ++ line) [0..] todoTasks putStr $ unlines numberedTasks remove :: [String] -> IO () remove [fileName, numberString] = do handle <- openFile fileName ReadMode (tempName, tempHandle) <- openTempFile "." "temp" contents <- hGetContents handle let number = read numberString todoTasks = lines contents newTodoItems = delete (todoTasks !! number) todoTasks hPutStr tempHandle $ unlines newTodoItems hClose handle hClose tempHandle removeFile fileName renameFile tempName fileName

To summarize our solution: we made a dispatch association that maps from commands to functions that take some command line arguments and return an I/O action. We see what the command is and based on that we get the appropriate function from the dispatch list. We call that function with the rest of the command line arguments to get back an I/O action that will do the appropriate thing and then just perform that action!

In other languages, we might have implemented this with a big switch case statement or whatever, but using higher order functions allows us to just tell the dispatch list to give us the appropriate function and then tell that function to give us an I/O action for some command line arguments.

Let's try our app out!

$ ./todo view todo.txt 0 - Iron the dishes 1 - Dust the dog 2 - Take salad out of the oven $ ./todo add todo.txt "Pick up children from drycleaners" $ ./todo view todo.txt 0 - Iron the dishes 1 - Dust the dog 2 - Take salad out of the oven 3 - Pick up children from drycleaners $ ./todo remove todo.txt 2 $ ./todo view todo.txt 0 - Iron the dishes 1 - Dust the dog 2 - Pick up children from drycleaners

Another cool thing about this is that it's easy to add extra functionality. Just add an entry in the dispatch association list and implement the corresponding function and you're laughing! As an exercise, you can try implementing a bump function that will take a file and a task number and return an I/O action that bumps that task to the top of the to-do list.

You could make this program fail a bit more gracefully in case of bad input (for example, if someone runs todo UP YOURS HAHAHAHA) by making an I/O action that just reports there has been an error (say, errorExit :: IO ()) and then check for possible erronous input and if there is erronous input, perform the error reporting I/O action. Another way is to use exceptions, which we will meet soon.

Randomness

Many times while programming, you need to get some random data. Maybe you're making a game where a die needs to be thrown or you need to generate some test data to test out your program. There are a lot of uses for random data when programming. Well, actually, pseudo-random, because we all know that the only true source of randomness is a monkey on a unicycle with a cheese in one hand and its butt in the other. In this section, we'll take a look at how to make Haskell generate seemingly random data.

In most other programming languages, you have functions that give you back some random number. Each time you call that function, you get back a (hopefully) different random number. How about Haskell? Well, remember, Haskell is a pure functional language. What that means is that it has referential transparency. What THAT means is that a function, if given the same parameters twice, must produce the same result twice. That's really cool because it allows us to reason differently about programs and it enables us to defer evaluation until we really need it. If I call a function, I can be sure that it won't do any funny stuff before giving me the results. All that matters are its results. However, this makes it a bit tricky for getting random numbers. If I have a function like this:

randomNumber :: (Num a) => a randomNumber = 4

It's not very useful as a random number function because it will always return 4, even though I can assure you that the 4 is completely random, because I used a die to determine it.

How do other languages make seemingly random numbers? Well, they take various info from your computer, like the current time, how much and where you moved your mouse and what kind of noises you made behind your computer and based on that, give a number that looks really random. The combination of those factors (that randomness) is probably different in any given moment in time, so you get a different random number.

Ah. So in Haskell, we can make a random number then if we make a function that takes as its parameter that randomness and based on that returns some number (or other data type).

Enter the System.Random module. It has all the functions that satisfy our need for randomness. Let's just dive into one of the functions it exports then, namely random. Here's its type: random :: (RandomGen g, Random a) => g -> (a, g). Whoa! Some new typeclasses in this type declaration up in here! The RandomGen typeclass is for types that can act as sources of randomness. The Random typeclass is for things that can take on random values. A boolean value can take on a random value, namely True or False. A number can also take up a plethora of different random values. Can a function take on a random value? I don't think so, probably not! If we try to translate the type declaration of random to English, we get something like: it takes a random generator (that's our source of randomness) and returns a random value and a new random generator. Why does it also return a new generator as well as a random value? Well, we'll see in a moment.

To use our random function, we have to get our hands on one of those random generators. The System.Random module exports a cool type, namely StdGen that is an instance of the RandomGen typeclass. We can either make a StdGen manually or we can tell the system to give us one based on a multitude of sort of random stuff.

To manually make a random generator, use the mkStdGen function. It has a type of mkStdGen :: Int -> StdGen. It takes an integer and based on that, gives us a random generator. Okay then, let's try using random and mkStdGen in tandem to get a (hardly random) number.

ghci> random (mkStdGen 100)

<interactive>:1:0: Ambiguous type variable `a' in the constraint: `Random a' arising from a use of `random' at <interactive>:1:0-20 Probable fix: add a type signature that fixes these type variable(s)

What's this? Ah, right, the random function can return a value of any type that's part of the Random typeclass, so we have to inform Haskell what kind of type we want. Also let's not forget that it returns a random value and a random generator in a pair.

ghci> random (mkStdGen 100) :: (Int, StdGen) (-1352021624,651872571 1655838864)

Finally! A number that looks kind of random! The first component of the tuple is our number whereas the second component is a textual representation of our new random generator. What happens if we call random with the same random generator again?

ghci> random (mkStdGen 100) :: (Int, StdGen) (-1352021624,651872571 1655838864)

Of course. The same result for the same parameters. So let's try giving it a different random generator as a parameter.

ghci> random (mkStdGen 949494) :: (Int, StdGen) (539963926,466647808 1655838864)

Alright, cool, great, a different number. We can use the type annotation to get different types back from that function.

ghci> random (mkStdGen 949488) :: (Float, StdGen) (0.8938442,1597344447 1655838864) ghci> random (mkStdGen 949488) :: (Bool, StdGen) (False,1485632275 40692) ghci> random (mkStdGen 949488) :: (Integer, StdGen) (1691547873,1597344447 1655838864)

Let's make a function that simulates tossing a coin three times. If random didn't return a new generator along with a random value, we'd have to make this function take three random generators as a parameter and then return coin tosses for each of them. But that sounds wrong because if one generator can make a random value of type Int (which can take on a load of different values), it should be able to make three coin tosses (which can take on precisely eight combinations). So this is where random returning a new generator along with a value really comes in handy.

We'll represent a coin with a simple Bool. True is tails, False is heads.

threeCoins :: StdGen -> (Bool, Bool, Bool) threeCoins gen = let (firstCoin, newGen) = random gen (secondCoin, newGen') = random newGen (thirdCoin, newGen'') = random newGen' in (firstCoin, secondCoin, thirdCoin)

We call random with the generator we got as a parameter to get a coin and a new generator. Then we call it again, only this time with our new generator, to get the second coin. We do the same for the third coin. Had we called it with the same generator every time, all the coins would have had the same value and we'd only be able to get (False, False, False) or (True, True, True) as a result.

ghci> threeCoins (mkStdGen 21) (True,True,True) ghci> threeCoins (mkStdGen 22) (True,False,True) ghci> threeCoins (mkStdGen 943) (True,False,True) ghci> threeCoins (mkStdGen 944) (True,True,True)

Notice that we didn't have to do random gen :: (Bool, StdGen). That's because we already specified that we want booleans in the type declaration of the function. That's why Haskell can infer that we want a boolean value in this case.

So what if we want to flip four coins? Or five? Well, there's a function called randoms that takes a generator and returns an infinite sequence of values based on that generator.

ghci> take 5 $ randoms (mkStdGen 11) :: [Int] [-1807975507,545074951,-1015194702,-1622477312,-502893664] ghci> take 5 $ randoms (mkStdGen 11) :: [Bool] [True,True,True,True,False] ghci> take 5 $ randoms (mkStdGen 11) :: [Float] [7.904789e-2,0.62691015,0.26363158,0.12223756,0.38291094]

Why doesn't randoms return a new generator as well as a list? We could implement the randoms function very easily like this:

randoms' :: (RandomGen g, Random a) => g -> [a] randoms' gen = let (value, newGen) = random gen in value:randoms' newGen

A recursive definition. We get a random value and a new generator from the current generator and then make a list that has the value as its head and random numbers based on the new generator as its tail. Because we have to be able to potentially generate an infinite amount of numbers, we can't give the new random generator back.

We could make a function that generates a finite stream of numbers and a new generator like this:

finiteRandoms :: (RandomGen g, Random a, Num n) => n -> g -> ([a], g) finiteRandoms 0 gen = ([], gen) finiteRandoms n gen = let (value, newGen) = random gen (restOfList, finalGen) = finiteRandoms (n-1) newGen in (value:restOfList, finalGen)

Again, a recursive definition. We say that if we want 0 numbers, we just return an empty list and the generator that was given to us. For any other number of random values, we first get one random number and a new generator. That will be the head. Then we say that the tail will be n - 1 numbers generated with the new generator. Then we return the head and the rest of the list joined and the final generator that we got from getting the n - 1 random numbers.

What if we want a random value in some sort of range? All the random integers so far were outrageously big or small. What if we want to to throw a die? Well, we use randomR for that purpose. It has a type of randomR :: (RandomGen g, Random a) :: (a, a) -> g -> (a, g), meaning that it's kind of like random, only it takes as its first parameter a pair of values that set the lower and upper bounds and the final value produced will be within those bounds.

ghci> randomR (1,6) (mkStdGen 359353) (6,1494289578 40692) ghci> randomR (1,6) (mkStdGen 35935335) (3,1250031057 40692)

There's also randomRs, which produces a stream of random values within our defined ranges. Check this out:

ghci> take 10 $ randomRs ('a','z') (mkStdGen 3) :: [Char] "ndkxbvmomg"

Nice, looks like a super secret password or something.

You may be asking yourself, what does this section have to do with I/O anyway? We haven't done anything concerning I/O so far. Well, so far we've always made our random number generator manually by making it with some arbitrary integer. The problem is, if we do that in our real programs, they will always return the same random numbers, which is no good for us. That's why System.Random offers the getStdGen I/O action, which has a type of IO StdGen. When your program starts, it asks the system for a good random number generator and stores that in a so called global generator. getStdGen fetches you that global random generator when you bind it to something.

Here's a simple program that generates a random string.

import System.Random main = do gen <- getStdGen putStr $ take 20 (randomRs ('a','z') gen)

$ runhaskell random_string.hs pybphhzzhuepknbykxhe $ runhaskell random_string.hs eiqgcxykivpudlsvvjpg $ runhaskell random_string.hs nzdceoconysdgcyqjruo $ runhaskell random_string.hs bakzhnnuzrkgvesqplrx

Be careful though, just performing getStdGen twice will ask the system for the same global generator twice. If you do this:

import System.Random main = do gen <- getStdGen putStrLn $ take 20 (randomRs ('a','z') gen) gen2 <- getStdGen putStr $ take 20 (randomRs ('a','z') gen2)

you will get the same string printed out twice! One way to get two different strings of length 20 is to set up an infinite stream and then take the first 20 characters and print them out in one line and then take the second set of 20 characters and print them out in the second line. For this, we can use the splitAt function from Data.List, which splits a list at some index and returns a tuple that has the first part as the first component and the second part as the second component.

import System.Random import Data.List main = do gen <- getStdGen let randomChars = randomRs ('a','z') gen (first20, rest) = splitAt 20 randomChars (second20, _) = splitAt 20 rest putStrLn first20 putStr second20

Another way is to use the newStdGen action, which splits our current random generator into two generators. It updates the global random generator with one of them and encapsulates the other as its result.

import System.Random main = do gen <- getStdGen putStrLn $ take 20 (randomRs ('a','z') gen) gen' <- newStdGen putStr $ take 20 (randomRs ('a','z') gen')

Not only do we get a new random generator when we bind newStdGen to something, the global one gets updated as well, so if we do getStdGen again and bind it to something, we'll get a generator that's not the same as gen.

Here's a little program that will make the user guess which number it's thinking of.

import System.Random import Control.Monad(when) main = do gen <- getStdGen askForNumber gen askForNumber :: StdGen -> IO () askForNumber gen = do let (randNumber, newGen) = randomR (1,10) gen :: (Int, StdGen) putStr "Which number in the range from 1 to 10 am I thinking of? " numberString <- getLine when (not $ null numberString) $ do let number = read numberString if randNumber == number then putStrLn "You are correct!" else putStrLn $ "Sorry, it was " ++ show randNumber askForNumber newGen

We make a function askForNumber, which takes a random number generator and returns an I/O action that will prompt the user for a number and tell him if he guessed it right. In that function, we first generate a random number and a new generator based on the generator that we got as a parameter and call them randNumber and newGen. Let's say that the number generated was 7. Then we tell the user to guess which number we're thinking of. We perform getLine and bind its result to numberString. When the user enters 7, numberString becomes "7". Next, we use when to check if the string the user entered is an empty string. If it is, an empty I/O action of return () is performed, which effectively ends the program. If it isn't, the action consisting of that do block right there gets performed. We use read on numberString to convert it to a number, so number is now 7.

Excuse me! If the user gives us some input here that read can't read (like "haha" ), our program will crash with an ugly error message. If you don't want your program to crash on erronous input, use reads , which returns an empty list when it fails to read a string. When it succeeds, it returns a singleton list with a tuple that has our desired value as one component and a string with what it didn't consume as the other.

We check if the number that we entered is equal to the one generated randomly and give the user the appropriate message. And then we call askForNumber recursively, only this time with the new generator that we got, which gives us an I/O action that's just like the one we performed, only it depends on a different generator and we perform it.

main consists of just getting a random generator from the system and calling askForNumber with it to get the initial action.

Here's our program in action!

$ runhaskell guess_the_number.hs Which number in the range from 1 to 10 am I thinking of? 4 Sorry, it was 3 Which number in the range from 1 to 10 am I thinking of? 10 You are correct! Which number in the range from 1 to 10 am I thinking of? 2 Sorry, it was 4 Which number in the range from 1 to 10 am I thinking of? 5 Sorry, it was 10 Which number in the range from 1 to 10 am I thinking of?

Another way to make this same program is like this:

import System.Random import Control.Monad(when) main = do gen <- getStdGen let (randNumber, _) = randomR (1,10) gen :: (Int, StdGen) putStr "Which number in the range from 1 to 10 am I thinking of? " numberString <- getLine when (not $ null numberString) $ do let number = read numberString if randNumber == number then putStrLn "You are correct!" else putStrLn $ "Sorry, it was " ++ show randNumber newStdGen main

It's very similar to the previous version, only instead of making a function that takes a generator and then calls itself recursively with the new updated generator, we do all the work in main. After telling the user whether they were correct in their guess or not, we update the global generator and then call main again. Both approaches are valid but I like the first one more since it does less stuff in main and also provides us with a function that we can reuse easily.

Bytestrings

Lists are a cool and useful data structure. So far, we've used them pretty much everywhere. There are a multitude of functions that operate on them and Haskell's laziness allows us to exchange the for and while loops of other languages for filtering and mapping over lists, because evaluation will only happen once it really needs to, so things like infinite lists (and even infinite lists of infinite lists!) are no problem for us. That's why lists can also be used to represent streams, either when reading from the standard input or when reading from files. We can just open a file and read it as a string, even though it will only be accessed when the need arises.

However, processing files as strings has one drawback: it tends to be slow. As you know, String is a type synonym for [Char]. Chars don't have a fixed size, because it takes several bytes to represent a character from, say, Unicode. Furthemore, lists are really lazy. If you have a list like [1,2,3,4], it will be evaluated only when completely necessary. So the whole list is sort of a promise of a list. Remember that [1,2,3,4] is syntactic sugar for 1:2:3:4:[]. When the first element of the list is forcibly evaluated (say by printing it), the rest of the list 2:3:4:[] is still just a promise of a list, and so on. So you can think of lists as promises that the next element will be delivered once it really has to and along with it, the promise of the element after it. It doesn't take a big mental leap to conclude that processing a simple list of numbers as a series of promises might not be the most efficient thing in the world.

That overhead doesn't bother us so much most of the time, but it turns out to be a liability when reading big files and manipulating them. That's why Haskell has bytestrings. Bytestrings are sort of like lists, only each element is one byte (or 8 bits) in size. The way they handle laziness is also different.

Bytestrings come in two flavors: strict and lazy ones. Strict bytestrings reside in Data.ByteString and they do away with the laziness completely. There are no promises involved; a strict bytestring represents a series of bytes in an array. You can't have things like infinite strict bytestrings. If you evaluate the first byte of a strict bytestring, you have to evaluate it whole. The upside is that there's less overhead because there are no thunks (the technical term for promise) involved. The downside is that they're likely to fill your memory up faster because they're read into memory at once.

The other variety of bytestrings resides in Data.ByteString.Lazy. They're lazy, but not quite as lazy as lists. Like we said before, there are as many thunks in a list as there are elements. That's what makes them kind of slow for some purposes. Lazy bytestrings take a different approach — they are stored in chunks (not to be confused with thunks!), each chunk has a size of 64K. So if you evaluate a byte in a lazy bytestring (by printing it or something), the first 64K will be evaluated. After that, it's just a promise for the rest of the chunks. Lazy bytestrings are kind of like lists of strict bytestrings with a size of 64K. When you process a file with lazy bytestrings, it will be read chunk by chunk. This is cool because it won't cause the memory usage to skyrocket and the 64K probably fits neatly into your CPU's L2 cache.

If you look through the documentation for Data.ByteString.Lazy, you'll see that it has a lot of functions that have the same names as the ones from Data.List, only the type signatures have ByteString instead of [a] and Word8 instead of a in them. The functions with the same names mostly act the same as the ones that work on lists. Because the names are the same, we're going to do a qualified import in a script and then load that script into GHCI to play with bytestrings.

import qualified Data.ByteString.Lazy as B import qualified Data.ByteString as S

B has lazy bytestring types and functions, whereas S has strict ones. We'll mostly be using the lazy version.

The function pack has the type signature pack :: [Word8] -> ByteString. What that means is that it takes a list of bytes of type Word8 and returns a ByteString. You can think of it as taking a list, which is lazy, and making it less lazy, so that it's lazy only at 64K intervals.

What's the deal with that Word8 type? Well, it's like Int, only that it has a much smaller range, namely 0-255. It represents an 8-bit number. And just like Int, it's in the Num typeclass. For instance, we know that the value 5 is polymorphic in that it can act like any numeral type. Well, it can also take the type of Word8.

ghci> B.pack [99,97,110] Chunk "can" Empty ghci> B.pack [98..120] Chunk "bcdefghijklmnopqrstuvwx" Empty

As you can see, you usually don't have to worry about the Word8 too much, because the type system can makes the numbers choose that type. If you try to use a big number, like 336 as a Word8, it will just wrap around to 80.

We packed only a handful of values into a ByteString, so they fit inside one chunk. The Empty is like the [] for lists.

unpack is the inverse function of pack. It takes a bytestring and turns it into a list of bytes.

fromChunks takes a list of strict bytestrings and converts it to a lazy bytestring. toChunks takes a lazy bytestring and converts it to a list of strict ones.

ghci> B.fromChunks [S.pack [40,41,42], S.pack [43,44,45], S.pack [46,47,48]] Chunk "()*" (Chunk "+,-" (Chunk "./0" Empty))

This is good if you have a lot of small strict bytestrings and you want to process them efficiently without joining them into one big strict bytestring in memory first.

The bytestring version of : is called cons It takes a byte and a bytestring and puts the byte at the beginning. It's lazy though, so it will make a new chunk even if the first chunk in the bytestring isn't full. That's why it's better to use the strict version of cons, cons' if you're going to be inserting a lot of bytes at the beginning of a bytestring.

ghci> B.cons 85 $ B.pack [80,81,82,84] Chunk "U" (Chunk "PQRT" Empty) ghci> B.cons' 85 $ B.pack [80,81,82,84] Chunk "UPQRT" Empty ghci> foldr B.cons B.empty [50..60] Chunk "2" (Chunk "3" (Chunk "4" (Chunk "5" (Chunk "6" (Chunk "7" (Chunk "8" (Chunk "9" (Chunk ":" (Chunk ";" (Chunk "<" Empty)))))))))) ghci> foldr B.cons' B.empty [50..60] Chunk "23456789:;<" Empty

As you can see empty makes an empty bytestring. See the difference between cons and cons'? With the foldr, we started with an empty bytestring and then went over the list of numbers from the right, adding each number to the beginning of the bytestring. When we used cons, we ended up with one chunk for every byte, which kind of defeats the purpose.

Otherwise, the bytestring modules have a load of functions that are analogous to those in Data.List, including, but not limited to, head, tail, init, null, length, map, reverse, foldl, foldr, concat, takeWhile, filter, etc.

It also has functions that have the same name and behave the same as some functions found in System.IO, only Strings are replaced with ByteStrings. For instance, the readFile function in System.IO has a type of readFile :: FilePath -> IO String, while the readFile from the bytestring modules has a type of readFile :: FilePath -> IO ByteString. Watch out, if you're using strict bytestrings and you attempt to read a file, it will read it into memory at once! With lazy bytestrings, it will read it into neat chunks.

Let's make a simple program that takes two filenames as command-line arguments and copies the first file into the second file. Note that System.Directory already has a function called copyFile, but we're going to implement our own file copying function and program anyway.

import System.Environment import qualified Data.ByteString.Lazy as B main = do (fileName1:fileName2:_) <- getArgs copyFile fileName1 fileName2 copyFile :: FilePath -> FilePath -> IO () copyFile source dest = do contents <- B.readFile source B.writeFile dest contents

We make our own function that takes two FilePaths (remember, FilePath is just a synonym for String) and returns an I/O action that will copy one file into another using bytestring. In the main function, we just get the arguments and call our function with them to get the I/O action, which is then performed.

$ runhaskell bytestringcopy.hs something.txt ../../something.txt

Notice that a program that doesn't use bytestrings could look just like this, the only difference is that we used B.readFile and B.writeFile instead of readFile and writeFile. Many times, you can convert a program that uses normal strings to a program that uses bytestrings by just doing the necessary imports and then putting the qualified module names in front of some functions. Sometimes, you have to convert functions that you wrote to work on strings so that they work on bytestrings, but that's not hard.

Whenever you need better performance in a program that reads a lot of data into strings, give bytestrings a try, chances are you'll get some good performance boosts with very little effort on your part. I usually write programs by using normal strings and then convert them to use bytestrings if the performance is not satisfactory.

Exceptions

All languages have procedures, functions, and pieces of code that might fail in some way. That's just a fact of life. Different languages have different ways of handling those failures. In C, we usually use some abnormal return value (like -1 or a null pointer) to indicate that what a function returned shouldn't be treated like a normal value. Java and C#, on the other hand, tend to use exceptions to handle failure. When an exception is thrown, the control flow jumps to some code that we've defined that does some cleanup and then maybe re-throws the exception so that some other error handling code can take care of some other stuff.

Haskell has a very good type system. Algebraic data types allow for types like Maybe and Either and we can use values of those types to represent results that may be there or not. In C, returning, say, -1 on failure is completely a matter of convention. It only has special meaning to humans. If we're not careful, we might treat these abnormal values as ordinary ones and then they can cause havoc and dismay in our code. Haskell's type system gives us some much-needed safety in that aspect. A function a -> Maybe b clearly indicates that it it may produce a b wrapped in Just or that it may return Nothing. The type is different from just plain a -> b and if we try to use those two functions interchangeably, the compiler will complain at us.

Despite having expressive types that support failed computations, Haskell still has support for exceptions, because they make more sense in I/O contexts. A lot of things can go wrong when dealing with the outside world because it is so unreliable. For instance, when opening a file, a bunch of things can go wrong. The file might be locked, it might not be there at all or the hard disk drive or something might not be there at all. So it's good to be able to jump to some error handling part of our code when such an error occurs.

Okay, so I/O code (i.e. impure code) can throw exceptions. It makes sense. But what about pure code? Well, it can throw exceptions too. Think about the div and head functions. They have types of (Integral a) => a -> a -> a and [a] -> a, respectively. No Maybe or Either in their return type and yet they can both fail! div explodes in your face if you try to divide by zero and head throws a tantrum when you give it an empty list.

ghci> 4 `div` 0 *** Exception: divide by zero ghci> head [] *** Exception: Prelude.head: empty list

Pure code can throw exceptions, but it they can only be caught in the I/O part of our code (when we're inside a do block that goes into main). That's because you don't know when (or if) anything will be evaluated in pure code, because it is lazy and doesn't have a well-defined order of execution, whereas I/O code does.

Earlier, we talked about how we should spend as little time as possible in the I/O part of our program. The logic of our program should reside mostly within our pure functions, because their results are dependant only on the parameters that the functions are called with. When dealing with pure functions, you only have to think about what a function returns, because it can't do anything else. This makes your life easier. Even though doing some logic in I/O is necessary (like opening files and the like), it should preferably be kept to a minimum. Pure functions are lazy by default, which means that we don't know when they will be evaluated and that it really shouldn't matter. However, once pure functions start throwing exceptions, it matters when they are evaluated. That's why we can only catch exceptions thrown from pure functions in the I/O part of our code. And that's bad, because we want to keep the I/O part as small as possible. However, if we don't catch them in the I/O part of our code, our program crashes. The solution? Don't mix exceptions and pure code. Take advantage of Haskell's powerful type system and use types like Either and Maybe to represent results that may have failed.

That's why we'll just be looking at how to use I/O exceptions for now. I/O exceptions are exceptions that are caused when something goes wrong while we are communicating with the outside world in an I/O action that's part of main. For example, we can try opening a file and then it turns out that the file has been deleted or something. Take a look at this program that opens a file whose name is given to it as a command line argument and tells us how many lines the file has.

import System.Environment import System.IO main = do (fileName:_) <- getArgs contents <- readFile fileName putStrLn $ "The file has " ++ show (length (lines contents)) ++ " lines!"

A very simple program. We perform the getArgs I/O action and bind the first string in the list that it yields to fileName. Then we call the contents of the file with that name contents. Lastly, we apply lines to those contents to get a list of lines and then we get the length of that list and give it to show to get a string representation of that number. It works as expected, but what happens when we give it the name of a file that doesn't exist?

$ runhaskell linecount.hs i_dont_exist.txt linecount.hs: i_dont_exist.txt: openFile: does not exist (No such file or directory)

Aha, we get an error from GHC, telling us that the file does not exist. Our program crashes. What if we wanted to print out a nicer message if the file doesn't exist? One way to do that is to check if the file exists before trying to open it by using the doesFileExist function from System.Directory.

import System.Environment import System.IO import System.Directory main = do (fileName:_) <- getArgs fileExists <- doesFileExist fileName if fileExists then do contents <- readFile fileName putStrLn $ "The file has " ++ show (length (lines contents)) ++ " lines!" else do putStrLn "The file doesn't exist!"

We did fileExists <- doesFileExist fileName because doesFileExist has a type of doesFileExist :: FilePath -> IO Bool, which means that it returns an I/O action that has as its result a boolean value which tells us if the file exists. We can't just use doesFileExist in an if expression directly.

Another solution here would be to use exceptions. It's perfectly acceptable to use them in this context. A file not existing is an exception that arises from I/O, so catching it in I/O is fine and dandy.

To deal with this by using exceptions, we're going to take advantage of the catch function from System.IO.Error. Its type is catch :: IO a -> (IOError -> IO a) -> IO a. It takes two parameters. The first one is an I/O action. For instance, it could be an I/O action that tries to open a file. The second one is the so-called handler. If the first I/O action passed to catch throws an I/O exception, that exception gets passed to the handler, which then decides what to do. So the final result is an I/O action that will either act the same as the first parameter or it will do what the handler tells it if the first I/O action throws an exception.

If you're familiar with try-catch blocks in languages like Java or Python, the catch function is similar to them. The first parameter is the thing to try, kind of like the stuff in the try block in other, imperative languages. The second parameter is the handler that takes an exception,