Grep-CSV
April 9, 2019
I used the CSV-processing code from the essay on text-file databases, and the regular-expression matcher from a previous exercise, to build this simple grep-csv that reads from standard input and writes to standard output:
(define (grep-csv n regex)
(for-each-port
(filter-port read-csv-record
(lambda (line) (trex regex (list-ref line (- n 1)))))
(lambda (line) (write-csv-record line))))
Given an input like this:
Charles,Dickens,Great Expectations,1861 Mark,Twain,The Adventures of Tom Sawyer,1876 William,Shakespeare,Julius Caesar,1599 Isaac,Newton,Philosophiae Naturalis Principia Mathematica,1687
We get an output like this:
> (grep-csv 2 "e.*s") Charles,Dickens,Great Expectations,1861 William,Shakespeare,Julius Caesar,1599
Note that The Adventures of Tom Sawyer and Philosophiae Naturalis Principia Mathematica match the pattern in the title, but those records are not returned because the match is in the wrong field; with grep, they would be returned as unwanted records.
It is handy to have CSV-splitting and regular-expression-matching code available when needed. You can see all of that code and run the program at https://ideone.com/fGHhRb.
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Quikie one in Ruby.
require 'csv' def grep_csv(csv_str, col, regex_str) regex = Regexp.new(regex_str) csv_str .lines .select { |line| CSV.parse_line(line)[col-1] =~ regex } .join end puts grep_csv(File.read(ARGV[0]), ARGV[1].to_i, ARGV[2])Given the
example.csvfile look like this:When we run the program like so:
The output is:
A Haskell version. It uses the Cassava library for parsing and printing CSV
files, pcre-light along with the pcre-heavy front-end for regular expressions,
and optparse-applicative for argument parsing.
The program allows skipping a “header” record, and handles UTF-8 content and
fields that span multiple lines. (In the example below, we match on a word
that appears in the second line of a field.)
The data are lines from poems, taken from UTF-8 SAMPLER.
import qualified Data.ByteString.Lazy as LB import qualified Data.ByteString.UTF8 as UB import Data.Csv.Incremental (encode, encodeRecord) import Data.Csv.Streaming (HasHeader(..), Records(..), decode) import Data.Functor ((<&>)) import Data.Maybe (maybe) import qualified Data.Text as T import Data.Vector ((!?), Vector) import Options.Applicative import System.IO (hPutStrLn, stderr) import Text.Read (readEither) import Text.Regex.PCRE.Heavy ((=~), Regex, compileM) import Text.Regex.PCRE.Light (utf8) data Matcher = Matcher Int Regex type Record = Vector T.Text stream :: (String -> IO ()) -> (Record -> IO ()) -> Records Record -> IO () stream bad good (Cons res recs) = either bad good res *> stream bad good recs stream bad _ (Nil res _) = maybe (pure ()) bad res matchRecord :: Matcher -> Record -> IO () matchRecord (Matcher n regex) record = case record !? n <&> (=~ regex) of Just True -> write record _ -> pure () where write = LB.putStr . encode . encodeRecord badRecord :: String -> IO () badRecord = hPutStrLn stderr argParser :: Parser (Matcher, HasHeader) argParser = (\hdr n re -> (Matcher n re, hdr)) <$> flag NoHeader HasHeader (long "skip-header" <> short 's' <> help "Skip the first, header record in the CSV file") <*> option (eitherReader fieldParser) (long "field" <> short 'f' <> metavar "N" <> help "The 1-based field number to match") <*> option (eitherReader regexParser) (long "regex" <> short 'r' <> metavar "RE" <> help "The regular expression to match against the field") where fieldParser f = readEither f >>= \n -> if n < 1 then Left "the field number, N, must be >= 1" else Right (n-1) regexParser re = compileM (UB.fromString re) [utf8] main :: IO () main = do (matcher, hdr) <- customExecParser (prefs $ showHelpOnEmpty <> showHelpOnError) $ info (argParser <**> helper) (fullDesc <> header "A program to print matching CSV lines.") LB.getContents >>= (stream badRecord (matchRecord matcher) . decode hdr)