I haven't tested the regular expressions in Rev, but in Perl, it would
take some scratching of the head only to cope with commas embedded in
quotes. Or some browsing in the Internet. But it depends on the quality
of the RE parser.
Thomas
Am 18.01.2005 um 00:00 schrieb Alex Tweedly:
Frank D. Engel, Jr. wrote:
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hmm, minor improvements (and to kill off the quotes):
put URL "file:Stories/Westwind" into vArr
repeat for each line x in vArr -- faster than with i= notation
-- separate fields
put item 1 of x into vName
put item 2 of x into vID
put item 3 of x into vMail
-- delete quotes
delete char 1 of vName
delete char 1 of vID
delete char 1 of vMail
delete the last char of vName
delete the last char of vID
delete the last char of vMail
-- place into fields: note this will only result in the last line
of the file being in the fields, since
-- it replaces the former contents each time. modify as needed to
fix this
put vName into field "Name"
put vID into field "ID"
put vMail into field "Email address"
end repeat
Well, sigh ..... This brings us back to the "fun" of parsing CSV
files. See some long thread(s) from a few months ago.
Given an input line like
"Tweedly, Alex", "id1","[EMAIL PROTECTED]"
this script, like the other ones given in this thread, will give a
result that might be a surprise.
The "obviously correct" answer that many would expect is
name = Tweedly, Alex
id = id1
email = [EMAIL PROTECTED]
but this scripts would get
name = Tweedl
id = lex
email = id1
The quotes in the input file do NOT hide the commas, and so every
comma would be an item delimiter.
This may not be an issue in this particular case, depending on what
constraints Paul knows of in the input data. If that possibility needs
to be accounted for, you need to either parse char by char, or use the
fast but rather opaque "split and alternate" method from one of the
earlier threads, at
http://lists.runrev.com/pipermail/use-revolution/2004-October/
045450.html
Also, there are some email addresses that can ONLY be properly
represented by including quotes because they contain commas. For
instance
"any name you might, perhaps, like" <[EMAIL PROTECTED]>
is a valid email address.
This form of valid email address might suffer from trying to store in
this format, or at least might need to choose one or other of the
various ways CSV files handle included quotes (either doubling them
within the field, or escaping them with something like '\').
-- Alex.
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