24 days of Hackage, 2015: day 2: Regexes with pcre-heavy; standalone Haskell scripts using Stack

Table of contents for the whole series

A table of contents is at the top of the article for day 1.

Day 2

(Reddit discussion)

Don’t laugh, but once upon a time, I made Perl my main programming language of choice (between around 1999 and 2010). There were many reasons for this, but one reason was that Perl made it very easy to do text processing using regexes.

If you are a seasoned Haskeller, you might be thinking, “Why not use a real parser instead?“, such as the venerable parsec, which was covered in a 2012 day of Hackage? (Or, today, one could consider one of several other newer alternative libraries for parsing. A later day of Hackage will say more about this!)

After all, Jamie Zawinski famously once wrote, “Some people, when confronted with a problem, think ‘I know, I’ll use regular expressions.’ Now they have two problems.” I even gave a talk at Pittsburgh Tech Fest in 2013, “Stop overusing regular expressions!”, in which I promoted writing parsers rather than writing regexes.

But, sometimes I do want to use a regex. In that case, I have been using an obscure but useful package, pcre-heavy .

Today I’ll show how to use pcre-heavy , and while at it, also show how to ship one-file standalone Haskell scripts that only require Stack.

Why use regexes at all?

Before going into pcre-heavy , I thought I should explain when I use regexes.

Back when I was doing a lot of text extraction, cleaning, including correction, restructuring of messy data, regexes seemed the only choice really. I had to not lose any “intended” information even if it was obscured by garbage or misspellings or the like. I therefore could not use some kind of approximate statistical technique, but had to iteratively do do a lot exploratory work with some interactive prompting in order to gradually clean up the data. Super-powerful regex constructs of the Perl variety seemed perfect for this task.

But even outside of such use cases, there’s no hiding from the fact that regexes can be very convenient for simple tasks. Also, because regexes are used so much in our programming world in general, if we are migrating to Haskell some already-working regexes from already-written code in some other language, it’s convenient to just stick with regexes.

Which Haskell regex library to use?!

A newcomer to Haskell must be overwhelmed by the lack of a single standard library and syntax for regexes. I mean, take a look at this wiki page.

Today, I’m presenting pcre-heavy , a regex library that I’ve been using when I want regexes at all (I try not to want them). It’s pretty new and not even mentioned on that wiki page.

Some of my criteria for choosing a regex library:

I want Perl-style regexes. That’s what I’m used to and are a kind of standard across regex support in many programming languages.

Nice syntax is a plus. One of the selling points of using regexes is that the conciseness of writing patterns, binding matches, etc. Without such conciseness, I just think “Why not just write a real parser? It only takes a couple of lines in Haskell anyway.”

High performance is a perfectly legitimate reason to use regexes.

Given these criteria, using a PCRE-based library seemed the way to go. OK, the wiki page lists a bunch of PCRE-based libraries.

pcre-light is a good way to go.

It does require installation of the C library for PCRE.

I’m mainly on Mac OS X, so I have PCRE installed through Homebrew with $ brew install pcre . I have PCRE working on Linux. Unfortunately, I don’t use Windows, so if someone can verify that pcre-light installs OK on Windows, that would be great. I would feel sad if I picked a library that is problematic for Windows users.

Recently, out came pcre-heavy , a wrapper around pcre-light that uses Template Haskell, the GHC extension that is “macros for Haskell”, enabling compile-time metaprogramming (see the 2014 Day of Hackage article about Template Haskell.

I liked it, so I use it.

Example program using pcre-heavy

pcre-heavy has decent documentation on its Hackage page, so I recommend reading that for the full details on how to use it. I’ll give just a simple example here in the context of a complete program that does something.

Specification and some test cases

Say we have a file of lines of text that are supposed to have a comma-separated format of

a fixed header

a text transcript’s file path

an “audio” or “video” field indicating the type of associated media

an optional annotation about whether the associated media is missing or not yet linked into the transcript

(I made up this example based on the structured text specification called CHAT that happens to include a single line of this format, e.g. this coded Supreme Court oral argument transcript for “Citizens United v. Federal Election Commission”.)

Examples that should match:

@Media: has-audio, audio @Media: has-video,video @Media: has-audio-but-missing, audio, missing @Media: has-video-but-unlinked , video, unlinked

Examples that should fail to match:

@Media: no-audio-or-video @Media: missing-media-field, unlinked

Creating a regex

Here is a pcre-heavy regex, using the re Template Haskell quasiquoter that builds a PCRE-compiled Regex :

mediaRegex :: Regex mediaRegex = [re|^@ Media:\ t([^ ,]+)\ *,\ *(audio|video)(\ *,\ *(?:missing|unlinked))?|]

One selling point of pcre-heavy for me is that because it uses Template Haskell, a bad regex string results in a Haskell-level compile-time error rather than a runtime error.

Example of a compile-time error:

-- This Haskell code fails to compile! mediaRegex :: Regex mediaRegex = [re|^@ Media:\ t([^ ,]+)\ *,\ *(audio|video)(\ *,\ *(?:missing|unlinked)?|]

Loading this in GHCi or compiling with GHC results in

Exception when trying to run compile-time code: Text.Regex.PCRE.Light: Error in regex: missing ) Code: template-haskell-2.10.0.0:Language.Haskell.TH.Quote.quoteExp re "^@Media:\\t([^ ,]+)\\ *,\\ *(audio|video)(\\ *,\\ *(?:missing|unlinked)?"

Using the regex

We’ll use scan to extract the matches (if any) against our regex on a string.

scan returns a lazy list of all possible matches:

-- Simplified type signature for our purposes. scan :: Regex -> String -> [( String , [ String ])]

Each match is a pair (String, [String]) , where the first component is the whole string that matched, and the second is an ordered list of parenthesized groupings in the regex. In our regex, we had three parenthesized groupings, so a match could result in a three-element grouping list:

*Main> scan mediaRegex "@Media:\tfoo, audio, unlinked" [("@Media:\tfoo, audio, unlinked",["foo","audio",", unlinked"])]

Since we only want the first match (if any), we can just compose it with listToMaybe from Data.Maybe , which has type

listToMaybe :: [a] -> Maybe a

so listToMaybe . scan mediaRegex has type String -> Maybe (String, [String]) .

*Main> (listToMaybe . scan mediaRegex) "@Media:\tfoo, audio, unlinked" Just ("@Media:\tfoo, audio, unlinked",["foo","audio",", unlinked"])

Extracting useful information

Finally, what we really wanted to do after matching is apply additional business logic and get stuff into a real type as soon as possible, rather than engage in “stringly-typed” programming and context-dependent list lengths.

Let’s say that for our task, we only care about matched lines that are not missing or unlinked, and skip those that are missing or unlinked. We define a data type and use pattern matching to get out of the untyped world into the typed world of our data model.

data Info = Skip | Audio FilePath | Video FilePath deriving ( Eq , Show ) -- | Extract information about a media file if it is present. extractIfPresent :: ( String , [ String ]) -> Info extractIfPresent ( _ , [name, "audio" ]) = Audio name extractIfPresent ( _ , [name, "video" ]) = Video name extractIfPresent ( _ , _ ) = Skip

Presentation as a report

Finally, now that we are done with the regex world, and have a data model, all that is left is a driver to complete an example command-line program.

We have all the information needed to print out a report for each line.

-- | Output a report. reportOnInfo :: Maybe Info -> IO () reportOnInfo Nothing = putStrLn "no match" reportOnInfo ( Just Skip ) = putStrLn "match, but missing or unlinked" reportOnInfo ( Just ( Audio path)) = printf "audio at %s

" path reportOnInfo ( Just ( Video path)) = printf "video at %s

" path

And the final driver, piping everything through from standard input:

main :: IO () main = do s <- getContents mapM_ (reportOnInfo . fmap extractIfPresent . listToMaybe . scan mediaRegex ) (lines s)

Using Stack to ship standalone scripts

We can try our program from within the GHCi REPL by just typing main or :main at the REPL prompt and typing in lines of text. We can also do stack build to native-compile into a shippable binary.

But another option is to ship the source code as a standalone one-file script. This can be very convenient in some circumstances, when you can rely on the recipient simply installing Stack.

Here’s how we can turn our program into such a standalone script: just add the following two lines and make the file executable:

#!/usr/bin/env stack -- stack --resolver lts-6.9 --install-ghc runghc --package pcre-heavy

Stack will read the embedded command in order to install GHC, if needed, and first download and install the packages listed (here pcre-heavy ), if needed. We have pinned down the exact version of LTS in order to guarantee what versions of everything will be used by Stack. (Note: in this case, because of FFI with a C library, the recipient has to install PCRE first.)

So if you have short programs that don’t need to be organized into full-scale Cabal projects, you can treat Haskell as a “scripting language” with full access to the libraries of Hackage!

$ app/PCREHeavyExampleMain.hs < input.txt > output.txt

A warning

Although this Stack-as-Haskell-interpreter feature is kind of cool, I prefer to write modular, separately testable libraries, while having the main driver of the Main module of a program just use library modules that do most of the real work. Furthermore, I prefer to build and use native-compiled libraries and binaries because they’re just much faster to start up and also run: runghc is a Haskell interpreter rather than a native optimizing compiler. But the beauty of the GHC Haskell world is you can run in either mode, and flip from one to the other seamlessly.

Here’s our complete example standalone program

#!/usr/bin/env stack -- stack --resolver lts-6.9 --install-ghc runghc --package pcre-heavy {-# LANGUAGE QuasiQuotes #-} module Main where import Text.Regex.PCRE.Heavy ( Regex , re, scan) import Data.Maybe (listToMaybe) import Text.Printf (printf) -- | Match a media name, audio/video, and optional missing/unlinked. mediaRegex :: Regex mediaRegex = [re|^@ Media:\ t([^ ,]+)\ *,\ *(audio|video)(\ *,\ *(?:missing|unlinked))?|] data Info = Skip | Audio FilePath | Video FilePath deriving ( Eq , Show ) -- | Extract information about a media file if it is present. extractIfPresent :: ( String , [ String ]) -> Info extractIfPresent ( _ , [name, "audio" ]) = Audio name extractIfPresent ( _ , [name, "video" ]) = Video name extractIfPresent ( _ , _ ) = Skip -- | Output a report. reportOnInfo :: Maybe Info -> IO () reportOnInfo Nothing = putStrLn "no match" reportOnInfo ( Just Skip ) = putStrLn "match, but missing or unlinked" reportOnInfo ( Just ( Audio path)) = printf "audio at %s

" path reportOnInfo ( Just ( Video path)) = printf "video at %s

" path -- | Driver, in traditional right-to-left syntax. main :: IO () main = do s <- getContents mapM_ (reportOnInfo . fmap extractIfPresent . listToMaybe . scan mediaRegex ) (lines s)

Some additional notes

One limitation faced by a short expository article with example code is that we don’t like to waste space and attention, and therefore tend to present quick-and-dirty code, rather than production-level code (which is efficient, has sensible error recovery, well-commented). I’ve been thinking about the dilemma of how not to give the wrong impression and set a bad example by showing simplistic example code. There’s no easy answer, but I felt it might be useful to provide optional “advanced” notes sometimes, on how to write real code.

pcre-heavy allows matching not only of String , but also of ByteString and Text types. In practice, for efficiency, we want to use bytestring and text as much as possible, rather than the inefficient String type. (A 2012 day of hackage article talks about text .) Since the underlying PCRE C library uses bytes, I generally hand bytestrings to pcre-heavy .

The sample driver code uses lazy I/O to get the lines from input. This is superficially elegant and concise for pedagogical purposes, but in real life is a source of resource leaks and other problems and even causes people to think “Haskell is inefficient”. For real work, I like to use pipes , which was covered in another 2012 day of Hackage and also has an extensive, beautiful tutorial by its author, Gabriel Gonzalez, who also has a fantastic, long-running, active blog “Haskell for all” that every Haskeller should follow.

Finally, was a regex the right choice here? It was simple enough for this problem, but you can see from the ad hoc pattern matching and hardcoded strings and fragile positional ordering and number of groups that things could get error-prone really quickly if the regex got any more complex or we wanted to do proper error handling in case of a failed match.

Conclusion

Regex support is not a strong point of the Haskell ecosystem, which is geared to more structured parsing, but there are options if you really want to use regexes, and I like the Perl-style pcre-light family of libraries that now includes pcre-heavy .

Also, I showed how to add two lines to the top of a Haskell program to turn it into a Stack script.

Day 9 covers more libraries based on Template Haskell.

All the code

All my code for my article series are at this GitHub repo.