Example: csvreplace
If you build the package with the Cabal flag -fbuildExamples
then the program csvreplace will be built.
It allows you to replace placeholders in a template file
according to the columns of a CSV file.
E.g. given a file template.txt with content
Name: FIRSTNAME SURNAME
Born: BIRTH
and names.csv with content
"FIRSTNAME","SURNAME",BIRTH
"Georg","Cantor",1845
"Haskell","Curry",1900
"Ada","Lovelace",1815
the call
csvreplace template.txt <names.csv
produces the output
Name: Georg Cantor
Born: 1845
Name: Haskell Curry
Born: 1900
Name: Ada Lovelace
Born: 1815
You may also generate one file per CSV row in the following manner:
csvreplace --multifile=FIRSTNAME-SURNAME.txt template.txt <names.csv
Character Encoding
For simple replacement of parts of the text
we would not need to decode the input texts
and thus we would not need to know the used encoding scheme.
Essentially, we would only require that both CSV and template file
employ the same character encoding.
However, it is not as simple as that.
We need to decode the structure of the CSV file.
In multi-file mode we also need to generate proper file names.
Both requirements force us to decode both CSV and template file.
For the de- and encoding we use the default locale encoding.
If you want essentially a byte-by-byte replacement
and you assert that all files are in the same encoding
where the commas and quotation marks are compatible with ASCII
then you can set the encoding locally
to a complete 8-bit encoding like latin1 as in:
LANG=de_DE csvreplace --multifile=FIRSTNAME-SURNAME.txt template.txt <names.csv
Example: csvextract
This is somehow the inverse of csvreplace.
Given a text file that was generated
by substituting placeholders in a regular way.
You can then obtain back a CSV file.
E.g. take the example files from csvreplace and call
csvreplace template.txt <names.csv | csvextract --columns FIRSTNAME,SURNAME,BIRTH template.txt
You should get back names.csv.
This is, how it works:
The text in template.txt is first divided into text and placeholders
according to the comma separated list of names for the --columns option.
Then the program matches the template fragments with the input text
and assigns the text between template fragments to the placeholders.
Placeholder replacements are chosen as short as possible
in a greedy way, i.e. per placeholder, not globally.
If you want to skip larger portions of the input text,
you may use a placeholder like SKIP in template.txt
and call csvextract with the option --ignore SKIP.