Comments (8)
OK.
We don't accept nil
for col_sep:
.
from csv.
It's not intended but could you show any useful use case for col_sep: nil
?
from csv.
I don't have a particularly good example. But that the lib "crash" does not seem to me desirable. Go back to the previous behavior, or handle the col_sep: nil
with an ArgumentError
seems more better to me.
from csv.
I have a use case for col_sep: nil
, but I don't know if it is sound. I want to parse different sources, csv and flat files. I'm showing you a couple of examples. A csv file:
field1, field2
abc, def
and a flat file.
ghi
jk,l
The flat file includes the comma. To handle those 2 files (think not 2 files but tens of files csv and flat), I'd like to use the csv parser, passing col_sep: nil
when reading the flat file. In this case nil
would mean "I don't want a column separator". Is this a valid use case in your opinion?
from csv.
I think that File.foreach("flat.txt", chomp: true) {|line| ...}
should be used for the flat file.
We should use the csv library only for a CSV (family) file. :-)
from csv.
Yes, there are a bunch of methods to process a text file. However, a flat file can be considered a CSV with a single column and without an header. If you code is fed by both "real" csv and "semi" csv (flat files), the idea to have a single piece of code that handle them all could bo profitable.
from csv.
I don't want to recommend the "flat file is a CSV file" approach...
It will confuse many programmers...
from csv.
I know, that was just to share a possible approach and to share some feedback.
from csv.
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from csv.