DISCLAIMER

Note that updating these docs is an ongoing process and some perl5 idioms might not have been translated yet into correct raku idiom. My bad. Sorry. (Feedback welcome)

NAME

Text::CSV - comma-separated values manipulation routines

SYNOPSIS

use Text::CSV;

# Read whole file in memory
my @aoa = csv(in => "data.csv");  # as array of arrays
my @aoh = csv(in => "data.csv",
              headers => "auto"); # as array of hashes

# Write array of arrays as csv file
csv(in => @aoa, out => "file.csv", sep => ";");

my @rows;
# Read/parse CSV
my $csv = Text::CSV.new;
my $fh  = open "test.csv", :r, :!chomp;
while (my @row = $csv.getline($fh)) {
    @row[2] ~~ m/pattern/ or next; # 3rd field should match
    @rows.push: @row;
    }
$fh.close;

# and write as CSV
$fh = open "new.csv", :w;
$csv.say($fh, $_) for @rows;
$fh.close;

DESCRIPTION

Text::CSV provides facilities for the composition and decomposition of comma-separated values. An instance of the Text::CSV class will combine fields into a CSV string and parse a CSV string into fields.

The module accepts either strings or files as input and support the use of user-specified characters (or sequences thereof) for delimiters, separators, and escapes.

In all following documentation, WIP stands for "Work In Progress" and NYI for "Not Yet Implemented". The goal is to get rid of all of those.

Embedded newlines

Important Note: The default behavior is to accept only UTF-8 characters.

But you still have the problem that you have to pass a correct line to the "parse" method, which is more complicated from the usual point of usage:

my $csv = Text::CSV.new;
for lines() : eager {          #  WRONG!
    $csv.parse($_);
    my @fields = $csv.fields;
    }

this will break for several reasons. The default open mode is to chomp lines, which will also remove the newline sequence if that sequence is not (part of) the newline at all. As the for might read broken lines: it does not care about the quoting. If you need to support embedded newlines, the way to go is to not pass eol in the parser (it accepts \n, \r, and \r\n by default) and then

my $csv = Text::CSV.new;
my $io = open $file, :r, :!chomp;
while (my $row = $csv.getline($io)) {
    my @fields = @$row;
    }

Binary data

For now, Text::CSV only accepts Unicode. Binary data is planned.

SPECIFICATION

While no formal specification for CSV exists, RFC 4180 (1) describes the common format and establishes text/csv as the MIME type registered with the IANA. RFC 7111 (2) adds fragments to CSV.

Many informal documents exist that describe the CSV format. "How To: The Comma Separated Value (CSV) File Format" (3) provides an overview of the CSV format in the most widely used applications and explains how it can best be used and supported.

1) https://datatracker.ietf.org/doc/html/rfc4180
2) https://datatracker.ietf.org/doc/html/rfc7111
3) http://creativyst.com/Doc/Articles/CSV/CSV01.shtml

The basic rules are as follows:

CSV is a delimited data format that has fields/columns separated by the comma character and records/rows separated by newlines. Fields that contain a special character (comma, newline, or double quote), must be enclosed in double quotes. However, if a line contains a single entry that is the empty string, it may be enclosed in double quotes. If a field's value contains a double quote character it is escaped by placing another double quote character next to it. The CSV file format does not require a specific character encoding, byte order, or line terminator format.

Each record is a single line ended by a line feed (ASCII/LF=0x0A) or a carriage return and line feed pair (ASCII/CRLF=0x0D 0x0A), however, line-breaks may be embedded.
Fields are separated by commas.
Allowable characters within a CSV field include 0x09 (TAB) and the inclusive range of 0x20 (space) through 0x7E (tilde). In binary mode all characters are accepted, at least in quoted fields.
A field within CSV must be surrounded by double-quotes to contain a separator character (comma).

Though this is the most clear and restrictive definition, Text::CSV is way more liberal than this, and allows extension:

Line termination by a single carriage return is accepted by default
The separation, escape, and escape can be any valid Unicode sequence.
A field in CSV must be surrounded by double-quotes to make an embedded double-quote, represented by a pair of consecutive double-quotes, valid. You may additionally use the sequence "0 for representation of a NULL byte. Using 0x00 is just as valid.
Several violations of the above specification may be lifted by passing some options as attributes to the object constructor.

METHODS

version

Returns the current module version.

new

Returns a new instance of class Text::CSV. The attributes are described by the optional named parameters

my $csv = Text::CSV.new(attributes ...);

The following attributes are available:

eol

my $csv = Text::CSV.new(eol => "\r\n");
          $csv.eol(Str);
my $eol = $csv.eol;

The end-of-line string to add to rows for "print" or the record separator for "getline".

When not set in a parser instance, the default behavior is to accept \n, \r, and \r\n, so it is probably safer to not specify eol at all. Passing Str or the empty string behave the same.

As raku interprets \r\n as a single grapheme in input, it is dissuaded to use \r\n as eol when parsing. Please choose Str instead.

When not passed in a generating instance, records are not terminated at all, so it is probably wise to pass something you expect. A safe choice for eol on output is either \n or \r\n.

Common values for eol are "\012" (\n or Line Feed), "\015\012" (\r\n or Carriage Return, Line Feed), and "\015" (\r or Carriage Return).

sep

sep_char

sep-char

separator

my $csv = Text::CSV.new(sep => ";");
          $csv.sep("\x[ff0c]"); # FULLWIDTH COMMA
my $sep = $csv.sep;

The sequence used to separate fields, by default a comma: (,). This sequence is required and cannot be disabled.

The separation sequence can not be equal to the quote sequence, the escape sequence or the newline sequence.

print

$status = $csv.print($io,  $fld, ... );
$status = $csv.print($io, ($fld, ...));
$status = $csv.print($io, [$fld, ...]);
$status = $csv.print($io,  @fld      );

$csv.column_names(%fld.keys); # or use a subset
$status = $csv.print($io,  %fld      );

Similar to "combine" + "string" + "print", but much more efficient. It takes an IO object and any number of arguments interpreted as fields. The resulting string is immediately written to the $io stream.

NYI: no fields in combination with "bind_columns", like

$csv.bind_columns(\($foo, $bar));
$status = $csv.print($fh);

A benchmark showed this order of preference, but the difference is within noise range:

my @data = ^20;
$csv.print($io,   @data  );   # 2.6 sec
$csv.print($io, [ @data ]);   # 2.7 sec
$csv.print($io,    ^20   );   # 2.7 sec
$csv.print($io,  \@data  );   # 2.8 sec

say

Is the same a s"print" where eol defaults to $*OUT.nl.

$status = $csv.say($io,  $fld, ... );
$status = $csv.say($io, ($fld, ...));
$status = $csv.say($io, [$fld, ...]);
$status = $csv.say($io,  @fld      );

$csv.column_names(%fld.keys); # or use a subset
$status = $csv.say($io,  %fld      );

combine

$status = $csv.combine(@fields);
$status = $csv.combine($fld, ...);
$status = $csv.combine(\@fields);

This method constructs a CSV row from @fields, returning success or failure. Failure can result from lack of arguments or an argument that contains invalid data. Upon success, "string" can be called to retrieve the resultant CSV string. Upon failure, the value returned by "string" is undefined and "error_input" could be called to retrieve the invalid argument. (WIP)

string

$line = $csv.string;

This method returns the input to "parse" or the resultant CSV string of "combine", whichever was called more recently. If eol is defined, it is added to the string.

getline

@row = $csv.getline($io);
@row = $csv.getline($io,  :meta);
@row = $csv.getline($str);
@row = $csv.getline($str, :meta);

This is the counterpart to "print", as "parse" is the counterpart to "combine": it parses a row from the $io handle or $str using the "getline" method associated with $io (or the internal temporary IO handle used to read from the string as if it were an IO handle) and parses this row into an array. This array is returned by the function or Array for failure. When $io does not support getline, you are likely to hit errors.

NYI: When fields are bound with "bind_columns" the return value is a reference to an empty list.

getline_all =head2 getline-all

@rows = $csv.getline_all($io);
@rows = $csv.getline_all($io,                   :meta);
@rows = $csv.getline_all($io, $offset);
@rows = $csv.getline_all($io, $offset,          :meta);
@rows = $csv.getline_all($io, $offset, $length);
@rows = $csv.getline_all($io, $offset, $length, :meta);

This will return a list of getline($io) results. If $offset is negative, as with splice, only the last abs($offset) records of $io are taken into consideration.

Given a CSV file with 10 lines:

lines call
----- ---------------------------------------------------------
0..9  $csv.getline_all($io)         # all
0..9  $csv.getline_all($io,  0)     # all
8..9  $csv.getline_all($io,  8)     # start at 8
-     $csv.getline_all($io,  0,  0) # start at 0 first 0 rows
0..4  $csv.getline_all($io,  0,  5) # start at 0 first 5 rows
4..5  $csv.getline_all($io,  4,  2) # start at 4 first 2 rows
8..9  $csv.getline_all($io, -2)     # last 2 rows
6..7  $csv.getline_all($io, -4,  2) # first 2 of last  4 rows

getline_hr =head2 getline-hr

The "getline_hr" and "column_names" methods work together to allow you to have rows returned as hashes instead of arrays. You must invoke "column_names" first to declare your column names.

$csv.column_names(< code name price description >);
%hr = $csv.getline_hr($str, :meta);
%hr = $csv.getline_hr($io);
say "Price for %hr<name> is %hr<price> \c[EURO SIGN]";

"getline_hr" will fail if invoked before "column_names".

getline_hr_all =head2 getline-hr-all

@rows = $csv.getline_hr_all($io);
@rows = $csv.getline_hr_all($io,                   :meta);
@rows = $csv.getline_hr_all($io, $offset);
@rows = $csv.getline_hr_all($io, $offset,          :meta);
@rows = $csv.getline_hr_all($io, $offset, $length);
@rows = $csv.getline_hr_all($io, $offset, $length, :meta);

This will return a list of getline_hr($io) results.

parse

$status = $csv.parse($line);

This method decomposes a CSV string into fields, returning success or failure. Failure can result from a lack of argument or improper format in the given CSV string. Upon success, invoke "fields" or "strings" to get the decomposed fields. Upon failure these methods shall not be trusted to return reliable data.

NYI: You may use the "types" method for setting column types. See "types"' description below.

fragment

This function implements RFC7111 (URI Fragment Identifiers for the text/csv Media Type).

my @rows = $csv.fragment($io, $spec);

In specifications, * is used to specify the last item, a dash (-) to indicate a range. All indices are 1-based: the first row or column has index 1. Selections can be combined with the semi-colon (;).

When using this method in combination with "column_names", the returned array will be a list of hashes instead of an array of arrays. A disjointed cell-based combined selection might return rows with different number of columns making the use of hashes unpredictable.

$csv.column_names(< Name Age >);
my @rows = $csv.fragment($io, "row=3;8");

Note that for col="..", the column names are the names for before the selection is taken to make it more consistent with reading possible headers from the first line of the CSV datastream.

$csv,column_names(< foo bar >);  # WRONG
$csv.fragment($io, "col=3");

would set the column names for the first two columns that are then skipped in the fragment. To skip the unwanted columns, use placeholders.

$csv.column_names(< x x Name >);
$csv.fragment($io, "col=3");

WIP: If the "after_parse" callback is active, it is also called on every line parsed and skipped before the fragment.

row

row=4
row=5-7
row=6-*
row=1-2;4;6-*

col

col=2
col=1-3
col=4-*
col=1-2;4;7-*

cell

In cell-based selection, the comma (,) is used to pair row and column

cell=4,1

The range operator (-) using cells can be used to define top-left and bottom-right cell location

cell=3,1-4,6

The * is only allowed in the second part of a pair

cell=3,2-*,2    # row 3 till end, only column 2
cell=3,2-3,*    # column 2 till end, only row 3
cell=3,2-*,*    # strip row 1 and 2, and column 1

Cells and cell ranges may be combined with ;, possibly resulting in rows with different number of columns

cell=1,1-2,2;3,3-4,4;1,4;4,1

Disjointed selections will only return selected cells. The cells that are not specified will not be included in the returned set, not even as Str. As an example given a CSV like

11,12,13,...19
21,22,...28,29
:            :
91,...97,98,99

with cell=1,1-2,2;3,3-4,4;1,4;4,1 will return:

11,12,14
21,22
33,34
41,43,44

Overlapping cell-specs will return those cells only once, So cell=1,1-3,3;2,2-4,4;2,3;4,2 will return:

11,12,13
21,22,23,24
31,32,33,34
42,43,44

RFC7111 does not allow different types of specs to be combined (either row or col or cell). Passing an invalid fragment specification will croak and set error 2013.

Using "colrange" and "rowrange" instead of "fragment" will allow you to combine row- and column selecting as a grid.

colrange

my Int @range = ^5, 5..9;
$csv.colrange(@range);
$csv.colrange("0-4;6-10");
my @range = $csv.colrange;

Set or inspect the column ranges. When passed as an array of Int, the indexes are 0-based. When passed as a string, the syntax of the range is as defined by RFC7111 and thus 1-based.

rowrange

$csv.rowrange("1;16-*");
my @r = $csv.rowrange;

Set or inspect the row ranges. Only supports RFC7111 style. Indexes are 1-based.

column_names =head2 column-names

Set the "keys" that will be used in the "getline_hr" calls. If no keys (column names) are passed, it will return the current setting as a list.

$csv.column_names(< code description price >);
my @names = $csv.column_names;

"column_names" accepts a list of strings (the column names) or a single array with the names. You can pass the return value from "getline" too:

$csv.column_names($csv.getline($io));

"column_names" does no checking on duplicates at all, which might lead to unexpected results. As raku does not accept undefined keys in a hash, passing just types will lead to fail later on.

$csv.column_names(Str, "", "name"); # Will FAIL becaus of Str
$csv.column_names(< code name count name >); # will drop the second column
%hr = $csv.getline_hr($io);

header

Parse the CSV header and set sep and encoding.

my @hdr = $csv.header($fh).column-names;
$csv.header($fh, sep-set => [ ";", ",", "|", "\t" ]);
$csv.header($fh, munge-column-names => "fc");

The first argument should be a file handle.

Assuming that the file opened for parsing has a header, and the header does not contain problematic characters like embedded newlines, read the first line from the open handle then auto-detect whether the header separates the column names with a character from the allowed separator list.

If any of the allowed separators matches, and none of the other allowed separators match, set sep to that separator for the current CSV_XS instance and use it to parse the first line, map those to lowercase, and use that to set the instance "column_names":

my $csv = Text::CSV.new;
my $fh = open "file.csv";
$csv.header($fh);
while (my $row = $csv.getline_hr($fh)) {
    ...
    }

If the header is empty, contains more than one unique separator out of the allowed set, contains empty fields, or contains identical fields (after folding), it will croak with error 1010, 1011, 1012, or 1013 respectively.

If the header contains embedded newlines or is not valid CSV in any other way, this method will throw an exception.

A successful call to header will always set the sep of the $csv object. This behavior can not be disabled.

return value

On error this method will throw an exception.

On success, this method will return the instance.

Options

sep-set

$csv.header($fh, sep_set => [ ";", ",", "|", "\t" ]);

The list of legal separators defaults to [ ";", "," ] and can be changed by this option.

Multi-byte sequences are allowed, both multi-character and Unicode. See sep.

munge-column-names

This option offers the means to modify the column names into something that is most useful to the application. The default is to map all column names to fold case.

$csv.header($fh, munge-column-names => "lc");

The following values are available:

fc   - fold case
lc   - lower case
uc   - upper case
none - do not change
&cb  - supply a callback

 $csv.header($fh, munge-column-names => { "column_".$col++ });

set-column-names

$csv.header($fh, :set-column-names);

The default is to set the instances column names using "column_names" if the method is successful, so subsequent calls to "getline_hr" can return a hash. Disable setting the header can be forced using a false value for this option like :!set-column-names.

bind_columns =head2 bind-columns

NYI!

Takes a list of scalar references to be used for output with "print" or to store in the fields fetched by "getline". When you do not pass enough references to store the fetched fields in, "getline" will fail with error 3006. If you pass more than there are fields to return, the content of the remaining references is left untouched.

$csv.bind_columns(\$code, \$name, \$price, \$description);
while ($csv.getline($io)) {
    print "The price of a $name is \x[20ac] $price\n";
    }

To reset or clear all column binding, call "bind_columns" with the single undefined argument like Array. This will also clear column names.

$csv.bind_columns(Array);

If no arguments are passed at all, "bind_columns" will return the list of current bindings or Array if no binds are active.

eof

$eof = $csv.eof;

If "parse" or "getline" was used with an IO stream, this method will return True if the last call hit end of file, otherwise it will return False. This is useful to see the difference between a failure and end of file.

If the last "parse" or "getline" finished just before end of file, the next "parse" or "getline" will fail and set eof.

That implies that if you are not using "auto-diag", an idiom like

while (my @row = $csv.getline ($fh)) {
    # ...
    }
$csv.eof or $csv.error_diag;

will not report the error. You would have to change that to

while (my @row = $csv.getline ($fh)) {
    # ...
    }
$csv.error_diag.error and $csv.error_diag;

types

NYI!

$csv.types(@types);
my @types = $csv.types;

This method is used to force a type for all fields in a column. For example, if you have an integer column, two columns with doubles and a string column, then you might do a

$csv.types(Int, Num, Num, Str);

You can unset column types by doing a

$csv.types(Array);

row

CSV::Row $row = $csv.row;

Returns the last row parsed. See CSV::Row

fields

CSV::Field @fields = $csv.fields;

This method returns the input to "combine" or the resultant decomposed fields of a successful "parse" or "getline", whichever was called more recently. The fields are still of type CSV::Field and thus feature attributes.

strings

@fields = $csv.strings;

This method returns the input to "combine" or the resultant decomposed fields of a successful "parse" or "getline", whichever was called more recently. The fields are simplified to Str entries from CSV::Field, so no attributes ate available.

NYI: If types are used, the fields should comply to the types.

meta_info

meta-info

$csv.meta_info(True);
my $km = $csv.keep_meta;

This methods sets or inquires the default setting for keeping meta-info on fields. See CSV::Field.

is_quoted

is-quoted

my $quoted = $csv.is_quoted($column_idx);

Where $column_idx is the (zero-based) index of the column in the last result of "parse" or "getline", even if meta was false on that last invocation.

This returns True if the data in the indicated column was enclosed in quote_char quotes. This might be important for fields where content ,20070108, is to be treated as a numeric value, and where ,"20070108", is explicitly marked as character string data.

Also see CSV::Field.

is_binary

is-binary

NYI/WIP: utf8-c8

my $binary = $csv.is_binary($column_idx);

Where $column_idx is the (zero-based) index of the column in the last result of "parse" or "getline", even if meta was false on that last invocation.

Also see CSV::Field.

is_missing

is-missing

NYI

my $missing = $csv.is_missing($column_idx);

Where $column_idx is the (zero-based) index of the column in the last result of "parse" or "getline", even if meta was false on that last invocation.

while (my @row = $csv.getline_hr($fh, :meta)) {
    $csv.is_missing(0) and next; # This was an empty line
    }

When using "getline_hr", it is impossible to tell if the parsed fields are undefined because they where not filled in the CSV stream or because they were not read at all, as all the fields defined by "column_names" are set in the hash-ref. If you still need to know if all fields in each row are provided, you should enable keep_meta so you can check the flags.

status

$status = $csv.status;

This method returns success (or failure) of the last invoked "combine" or "parse" call.

error_input

error-input

$bad_argument = $csv.error_input;

This method returns the erroneous argument (if it exists) of "combine", "parse", or "getline", whichever was called most recent. If the last invocation was successful, error_input will return Str.

DIAGNOSTICS

Errors are transported internally using the CSV::Diag class. Text::CSV will return that object when it fails, so it can be caught, but on non-fatal failures, like parse returning False, one can use the methods to inquire the internal status.

CSV::Diag

The method is created with the widest possible use in mind, serving both the mindset of raku as well as the direct approach of the old module. It is immutable: it is created with all available error parameters known at the time of failure, and the cannot be changed afterwards.

my CSV::Diag $d .= new(
    error   => 0,
    message => "",
    pos     => 0,
    field   => 0,
    record  => 0,
    buffer  => Str
    );

If only error is given, the message is set accordingly if it is a known error value.

The object can be used in many contexts:

void context

CSV::Diag.new(error => 2034, buffer => q{ "",}, pos => 1);

will print

EIF - Loose unescaped quote : error 2034 @ record 1, field 1, position 2
 "?",

which is what happens when auto_diag is True and you parse illegal CSV:

Text::CSV.new(:auto_diag).parse(q{ "",});'
EIF - Loose unescaped quote : error 2034 @ record 1, field 1, position 2
 "?",

numeric context

Will return the error code

my Int $e;
{   fail CSV::Diag(error => 2034);
    CATCH { default { $e = +$_; }}
    }
# $e is now 2034

string context

Will return the error message

my Str $e;
{   fail CSV::Diag(error => 2034);
    CATCH { default { $e = ~$_; }}
    }
# $e is now "EIF - Loose unescaped quote"

list context

All of the 6 items can be retrieved as a list or positional:

{   fail CSV::Diag(error => 2034);
    CATCH { default { $_[0].say; }}
    }

The indices are chosen to be compatible with the old API

$e[0] = error number
$e[1] = error message
$e[2] = error position in buffer
$e[3] = field number
$e[4] = record number
$e[5] = errror buffer

hash context

All of the 6 items can be retrieved as a hash entry

{   fail CSV::Diag(error => 2034);
    CATCH { default { $_<errno>.say; }}
    }

The keys are chosen to be compatible with the old API.

$e<errno>  = error number
$e<error>  = error message
$e<pos>    = error position in buffer
$e<field>  = field number
$e<recno>  = record number
$e<buffer> = errror buffer

The CSV::Diag is also used by this Text::CSV method

error_diag

error-diag

$csv.error_diag;
$error_code = +$csv.error_diag;
$error_str  = ~$csv.error_diag;
($cde, $str, $pos, $rec, $fld) = $csv.error_diag;

This function returns the diagnostics of the most recent error.

If called in void context, this will print the internal error code and the associated error message along with the record number, the position of the failure and the buffer of failure with an eject symbol at that position:

$csv.parse(q{ "",})
$csv.error_diag;

will print

EIF - Loose unescaped quote : error 2034 @ record 1, field 1, position 2
 "?",

If called in list context, this will return the error code, the error message, the location within the line that was being parsed, the record number, and the buffer itself in that order. Their values are 1-based. The position currently is index of the character at which the parsing failed in the current record. The record number the index of the record parsed by the csv instance. The field number is the index of the field the parser thinks it is currently trying to parse.

If called as +$csv.error_diag or $csv.error_diag.Num, it will return the error code. If called as ~$csv.error_diag or $csv.error_diag.Str it will return the error message.

record_number

$recno = $csv.record_number;

Returns the records parsed by this csv instance. This value should be more accurate than $. when embedded newlines come in play. Records written by this instance are not counted.

set_diag

$csv.set_diag(0);
$csv.set_diag(2025, pos => 12, fieldno => 4, recno => 99);

Use to (re)set the diagnostics if you are dealing with errors.

CSV::Field

The fields are internally represented as CSV::Field objects. Any methods that directly or indirectly supports the meta attribute controls weather the returned fields will be of this CSV::Field type or that the fields are simplified to a simple basic type.

If the fields are represented/returned as CSV::Field, it supports these methods:

new

my CSV::Field $f .= new;
my $f = CSV::Field.new("foo");
my $f = CSV::Field.new(1);

Instantiate a new field. Optionally takes a Cool.

Bool

?$f     and say "The field is true";
$f.Bool and say "This field is true too";

Return the boolean value of the field. As CSV is text-only be design, this will also return False for "0", where raku sees "0" as True.

text =head2 Str

$str = ~$f;
$str = $f.Str;
$str = $f.text;

Return the string representation of the field.

Buf

$buf = $f.Buf;

Return the field data as "utf8-c8" encoded Buf.

Numeric

$i = +$f;
$i = $f.Int;
$i = $f.Num;

Return the numeric representation of the field.

gist

$f.gist.say;

Will show a complete compressed representation of the field with properties. Q is quoted, q is unquoted. Likewise for B/b for binary, 8/7 for Unicode-ness and M/m for missing.

A field that was parsed as ,cat, would return

qb7m:"cat"

A field parsed as ,"Ħēłĺº", would return

QB8m:"Ħēłĺº"

add

$f.add($str);

Accepts a Str to be added to this field.

set_quoted

$f.set_quoted;

Set the fact the the field was/is quoted.

is_quoted

$f.is_quoted and say "The field was quoted in CSV";

Is True when the parsed field was quoted in the source.

undefined

$f.undefined and say "The field is undefined";

Returns True when the field is undefined. As CSV is all about strings, the various options that allow interpreting empty fields as undefined make this a required method.

is_binary

WIP: utf8-c8

$f.is_binary and say "Do we need a Buf instead?";

Returns true if the field has data beyond ASCII.

is_utf8

$f.is_utf8 or say "The field is empty or pure ACII";

Returns True if the field is beyond ASCII, but still valid UTF-8.

is_missing

WIP

$f.is_missing and fail;

Returns True if the field is missing.

CSV::Row

This class is a wrapper over the current row of fields just to add convenience methods.

This is the only argument to callbacks.

The fields in CSV::Row are always of class CSV::Field and thus contain all meta-information, even if the Text::CSV attribute meta_info is False.

methods

new

my CSV::Row $row .= new;
my CSV::Row $row .= new(csv => $csv, fields => @f.map({ CSV::Field.new(*) });

csv

The current Text::CSV object related to this row.

elems

Return the number of fields in the row.

fields

The fields (CSV::Field items) this row consist of.

push

$row.push(CSV::Field.new(1));
$row.push(1);
$row.push("foo");
$row.push($another-row);

Pushing simple things onto the row will extend the row by converting these to CSV::Field objects.

Pushing a CSV::Row onto the row will extend that row with the fields of the row being pushed.

pop

my CSV::Field $f = $row.pop;

Str

my $str = $row.Str;
$io.say(~$row);

The stringification of the CSV::Row object is like invoking the string method. This only works if there is a Text::CSV object known to the CSV::Row instance.

hash

my %h = $row.hash;

Returns the hash with .csv's column_names as keys and the .text of each matching fields entry as values.

strings

my @l = $row.strings;

Returns the .text part of each entry in .fields.

The row allow direct indexing and iteration as well as hash addressing when "column_names" are set.

my $field = $row[1];
my $field = $row<foo>;

The last parsed row of a Text::CSV|/Text::CSV> can be acquired using

my CSV::Row $row = $csv.row;

################################################################################

FUNCTIONS

csv

This is an high-level function that aims at simple (user) interfaces. This can be used to read/parse a CSV file or stream (the default behavior) or to produce a file or write to a stream (define the out attribute). It returns an array- or hash-reference on parsing or the numeric value of "error_diag" on writing. When this function fails you can get to the error using the class call to "error_diag"

my $aoa = csv(in => "test.csv") or
    die Text::CSV.error_diag;

This function takes the arguments as key-value pairs. This can be passed as a list or as an anonymous hash:

my $aoa = csv(in => "test.csv", sep => ";");
my $aoh = csv(in => $fh, :headers);

The arguments passed consist of two parts: the arguments to "csv" itself and the optional attributes to the CSV object used inside the function as enumerated and explained in "new".

If not overridden, the default option used for CSV is

auto_diag => 1

The option that is always set and cannot be altered is

binary    => 1

in

Used to specify the source. in can be a file name (e.g. "file.csv"), which will be opened for reading and closed when finished, a file handle (e.g. $fh or FH), a reference to a glob (e.g. \*ARGV), the glob itself (e.g. *STDIN), or a reference to a scalar (e.g. \q{1,2,"csv"}).

When used with "out", in should be a reference to a CSV structure (AoA or AoH) or a Callable (Sub, Routine, Code, or Block) that returns an array-reference or a hash-reference. The code-ref will be invoked with no arguments.

my $aoa = csv(in => "file.csv");

open my $fh, "<", "file.csv";
my $aoa = csv(in => $fh);

my $csv = [[qw( Foo Bar )], [ 1, 2 ], [ 2, 3 ]];
my $err = csv(in => $csv, out => "file.csv");

The in attribute supports a wide range of types, all of which can be combined with the use of fragment:

Str

csv(in => "file.csv")

A plain string is interpreted as a file name to be opened for parsing.

IO

my $io = open "file.csv", :r;
csv(in => $io);

Parse from the already opened data stream.

Capture

csv(in => \("str,ing"));

Parse from a single string.

Array of Strings

csv(in => ["a,b\n1,2\n3,4\n"]);
csv(in => ["a,b", "1,2", "3,4"]);

Parse from the String(s)

Array of Data

csv(in => [[<a b>], [1, 2], [3, 4]]);
csv(in => [{:a(1), :b(2)}, {:a(3), :b(4)}]);

Use the data as provided

Sub, Routine

sub provider {
    @data.elems == 0 and return False;
    return @data.pop;
    }
csv(in => &provider);

While the providing Routine returns a data row, use that as is. Stop when the provider returns False.

Callable, Block

csv(in => { $sth.fetch });

While the providing Callable returns a data row, use that as is. Stop when the provider returns False.

Supply

my $supply = Supply.from-list(@data);
csv(in => $supply);

Fetch data rows from the supply.

Channel

my $ch = Channel.new;
start {
    $ch.send($_) for @data;
    $ch.close;
    }
csv(in => $ch);

Fetch data from the Channel.

Iterator

csv(in => @data.iterator);

Fetch data rows from the iterator.

Any

csv(in => Any);

is a shortcut/fallback for

csv(in => $*IN);

out

In output mode, the default CSV options when producing CSV are

eol    => "\r\n"

The "fragment" attribute is ignored in output mode.

out can be a file name (e.g. "file.csv"), which will be opened for writing and closed when finished, a file handle (e.g. $fh or IO::Handle), a Channel, a Supply, a Callable, or Nil.

csv(in => sub { $sth.fetch },        out => "dump.csv");
csv(in => { $sth.fetchrow_hashref }, out => "dump.csv",
     headers => $sth.{NAME_lc});

When a code-ref is used for in, the output is generated per invocation, so no buffering is involved. This implies that there is no size restriction on the number of records. The csv function ends when the coderef returns False.

When a Callable is used for out, it is called on each row with the row as only argument.

When Nil is used for out, the output is completely suppressed. This can be useful when streaming, and the output is not required, but the side-effects of e.g. an on-in hook is dealing with the data.

Str:U

my $str = csv(in => $in, out => Str);

Returns a single String of CSV data.

Str:D

my $str = csv(in => $in, out => "out.csv");

Writes the data as CSV to the named file.

Array:U

my $aoa = csv(in => $in, out => Array);

Returns an Array of Arrays.

Array:D

my $aoa = csv(in => $in, out => @data);

Adds the records to an existing Array. If the existing array is not empty, the type of the first record determines adding a list of Arrays or a list of Hashes.

Hash:U

my $aoh = csv(in => $in, out => Hash);

Returns an Array of Hashes

IO:D

my $io = open "file.csv", :w;
csv(in => $in, out => $io);

Writes the data as CSV to the IO handle.

Callable, Block, Sub, Routine

my @d;
csv(in => $in, out => { @d.push: $_ });

Passes the data rows to the Callable

Channel:U

my $ch = csv(in => $in, out => Channel, :!meta);
react {
    whenever $ch -> \row {
        @d.push: row;
        LAST { done; }
        }
    }

Writes the data rows into a new Channel, which is returned.

Channel:D

my $ch = Channel.new;
my $pr = start {
    react {
        whenever $ch -> \row {
            @d.push: row;
            LAST { done; }
            }
        }
    }
csv(in => $in, out => $ch);
await $pr;

Writes the data rows into the existing Channel.

Supplier:D

my $sup = Supplier.new;
$sup.Supply.tap (-> \row { @d.push: row; });
csv(in => $in, out => $sup, :!meta);

Writes the data rows into the Supplier.

Supply:U

my $sup = csv(in => $in, out => Supply, :!meta);
$ch.tap (-> \row { @d.push: row; });

Writes the data rows into a new Supply.

encoding

If passed, it should be an encoding accepted by the :encoding() option to open. There is no default value.

If encoding is set to the literal value "auto", the method "header" will be invoked on the opened stream to check if there is a BOM and set the encoding accordingly. This is equal to passing True in the option detect-bom.

detect-bom

NYI for various reasons. Also see "is-binary"

If detect-bom is given, the method "header" will be invoked on the opened stream to check if there is a BOM and set the encoding accordingly.

detect_bom can be abbreviated to bom.

This is the same as setting encoding to "auto".

Note that as the method "header" is invoked, its default is to also set the headers.

headers

If this attribute is not given, the default behavior is to produce an array of arrays.

If headers is supplied, it should be an Array of column names, a Bool, a Hash, a Callable, or a literal flag: auto, lc, uc, or skip.

skip

When skip is used, the header will not be included in the output.

my $aoa = csv(in => $fh, headers => "skip");

auto

If auto is used, the first line of the CSV source will be read as the list of field headers and used to produce an array of hashes.

my $aoh = csv(in => $fh, headers => "auto");

lc

If lc is used, the first line of the CSV source will be read as the list of field headers mapped to lower case and used to produce an array of hashes. This is a variation of auto.

my $aoh = csv(in => $fh, headers => "lc");

uc

If uc is used, the first line of the CSV source will be read as the list of field headers mapped to upper case and used to produce an array of hashes. This is a variation of auto.

my $aoh = csv(in => $fh, headers => "uc");

Bool

If True is passed, the method "header" will be invoked with the default options on the opened stream to check if there is a BOM and set the encoding accordingly, detect and set sep, eol and column names.

Callable

If a Callable is used, the first line of the CSV source will be read as the list of mangled field headers in which each field is passed as the only argument to the coderef. This list is used to produce an array of hashes.

my $i = 0;
my $aoh = csv(in => $fh, headers => { $^h.lc ~ $i++ });

this example is a variation of using lc where all headers are forced to be unique by adding an index.

ARRAY

If headers is an Array, the entries in the list will be used as field names. The first line is considered data instead of headers.

my $aoh = csv(in => $fh, headers => [< Foo Bar >]);

HASH

If headers is a Hash, this implies auto, but header fields for that exist as key in the Hash will be replaced by the value for that key. Given a CSV file like

post-kode,city,name,id number,fubble
1234AA,Duckstad,Donald,13,"X313DF"

using

csv (headers => %{ "post-kode" => "pc", "id number" => "ID" }, ...

will return an entry like

{ pc     => "1234AA",
  city   => "Duckstad",
  name   => "Donald",
  ID     => "13",
  fubble => "X313DF",
  }

munge-column-names

If munge-column-names is set, the method "header" is invoked on the opened stream with all matching arguments to detect and set the headers.

munge-column-names can be abbreviated to munge.

key

If passed, will default headers to "auto" and return a hashref instead of an array of hashes. Allowed values are simple strings or arrays where the first element is the joiner and the rest are the fields to join to combine the key

my $ref = csv(in => "test.csv", key =>        "code");
my $ref = csv(in => "test.csv", key => [ ":", "code", "color" ]);

with test.csv like

code,product,price,color
1,pc,850,gray
2,keyboard,12,white
3,mouse,5,black

the first example will return

{ 1   => {
      code    => 1,
      color   => 'gray',
      price   => 850,
      product => 'pc'
      },
  2   => {
      code    => 2,
      color   => 'white',
      price   => 12,
      product => 'keyboard'
      },
  3   => {
      code    => 3,
      color   => 'black',
      price   => 5,
      product => 'mouse'
      }
  }

the second example will return

{ "1:gray"    => {
      code    => 1,
      color   => 'gray',
      price   => 850,
      product => 'pc'
      },
  "2:white"   => {
      code    => 2,
      color   => 'white',
      price   => 12,
      product => 'keyboard'
      },
  "3:black"   => {
      code    => 3,
      color   => 'black',
      price   => 5,
      product => 'mouse'
      }
  }

If out points to an existing Hash, the data will be added to that instead (existing records will be overwritten on reading duplicate keys). It returns the value passed to out:

my $ref = csv(in => "test.csv", out => %hash, key =>        "code");
my $ref = csv(in => "test.csv", out => %hash, key => [ ":", "code", "color" ]);

fragment

Only output the fragment as defined in the "fragment" method. This option is ignored when generating CSV. See "out".

Combining all of them could give something like

use Text::CSV qw( csv );
my @aoh = csv(
    in       => "test.txt",
    encoding => "utf-8",
    headers  => "auto",
    sep_char => "|",
    fragment => "row=3;6-9;15-*",
    );
say @aoh[15]{Foo};

sep-set

If sep-set is set, the method "header" is invoked on the opened stream to detect and set sep with the given set.

sep-set can be abbreviated to seps.

Note that as the method "header" is invoked, its default is to also set the headers.

set_column_names

If set_column_names is passed, the method "header" is invoked on the opened stream with all arguments meant for "header".

Callbacks

Callbacks enable actions triggered from the inside of Text::CSV.

While most of what this enables can easily be done in an unrolled loop as described in the "SYNOPSIS" callbacks, can be used to meet special demands or enhance the "csv" function.

All callbacks except error are called with just one argument: the current CSV::Row.

error

$csv.callbacks(error => { $csv.SetDiag(0) });

the error callback is invoked when an error occurs, but only when "auto_diag" is set to a true value. This callback is invoked with the values returned by "error_diag":

my ($c, $s);

sub ignore3006 (Int $err, Str $msg, Int $pos, Int $recno, Int $fldno) {
    if ($err == 3006) {
        # ignore this error
        ($c, $s) = (Str, Str);
        Text::CSV.SetDiag(0);
        }
    # Any other error
    return;
    } # ignore3006

$csv.callbacks(error => \&ignore3006);
$csv.bind_columns(\$c, \$s);
while ($csv.getline($fh)) {
    # Error 3006 will not stop the loop
    }

after_parse

sub add-new (CSV::Row $r) { $r.fields.push: "NEW"; }
$csv.callbacks(after_parse => &add-new);
while (my @row = $csv.getline($fh)) {
    @row[-1] eq "NEW";
    }

This callback is invoked after parsing with "getline" only if no error occurred.

The return code of the callback is ignored.

sub add_from_db (CSV::Row $r) {
    $sth.execute($r[4]);
    push $r.fields: $sth.fetchrow_array;
    } # add_from_db

my $aoa = csv(in => "file.csv", callbacks => {
    after_parse => &add_from_db });

my $aoa = csv(in => "file.csv", after_parse => {
    $sth.execute($^row[4]); $^row.fields.push: $sth.fetchrow_array; });

before_print

my $idx = 1;
$csv.callbacks(before_print => { $^row[0] = $idx++ });
$csv.print($*OUT, [ 0, $_ ]) for @members;

This callback is invoked before printing with "print" only if no error occurred.

The return code of the callback is ignored.

sub max_4_fields (CSV::Row $r) {
    $r.elems > 4 and $r.splice (4);
    } # max_4_fields

csv(in => csv(in => "file.csv"), out => $*OUT,
    callbacks => { before print => \&max_4_fields });

csv(in => csv(in => "file.csv"), out => $*OUT,
    before print => { $^row.elems > 4 and $^row.splice(4) });

This callback is not active for "combine".

Callbacks for csv

The "csv" allows for some callbacks that do not integrate in internals but only feature the "csv" function. XXX: Is this still true?

csv(in        => "file.csv",
    callbacks => {
        after_parse  => { say "AFTER PARSE";  }, # first
        after_in     => { say "AFTER IN";     }, # second
        on_in        => { say "ON IN";        }, # third
        },
    );

csv(in        => $aoh,
    out       => "file.csv",
    callbacks => {
        on_in        => { say "ON IN";        }, # first
        before_out   => { say "BEFORE OUT";   }, # second
        before_print => { say "BEFORE PRINT"; }, # third
        },
    );

filter

This callback can be used to filter records. It is called just after a new record has been scanned. The callback will be invoked with the current "CSV::Row" and should return True for records to accept and False for records to reject.

csv (in => "file.csv", filter => {
           $^row[2] ~~ /a/ &&  # third field should contain an "a"
           $^row[4].chars > 4  # length of the 5th field minimal 5
           });

csv (in => "file.csv", filter => "not_blank");
csv (in => "file.csv", filter => "not_empty");
csv (in => "file.csv", filter => "filled");

If the filter is used to alter the content of a field, make sure that the sub, block or callable returns true in order not to have that record skipped:

filter => { $^row[1].text .= uc }

will upper-case the second field, and then skip it if the resulting content evaluates to false. To always accept, end with truth:

filter => { $^row[1].text .= uc; 1 }}

Predefined filters

Given a file like (line numbers prefixed for doc purpose only):

1:1,2,3
2:
3:,
4:""
5:,,
6:, ,
7:"",
8:" "
9:4,5,6

not_blank =item not-blank

Filter out the blank lines

This filter is a shortcut for

filter => { $^row.elems > 1 or
            $^row[0].defined && $^row[0] ne "" or
            $^row[0].is-quoted }

With the given example, line 2 will be skipped.

not_empty =item not-empty

Filter out lines where all the fields are empty.

This filter is a shortcut for

filter => { $^row.first: { .defined && $_ ne ""   }}

A space is not regarded being empty, so given the example data, lines 2, 3, 4, 5, and 7 are skipped.

filled

Filter out lines that have no visible data

This filter is a shortcut for

filter => { $^row.first: { .defined && $_ ~~ /\S/ }}

This filter rejects all lines that not have at least one field that does not evaluate to the empty string.

With the given example data, this filter would skip lines 2 through 8.

after_in

This callback is invoked for each record after all records have been parsed but before returning the reference to the caller.

This callback can also be passed as an attribute to "csv" without the callbacks wrapper.

before_out

This callback is invoked for each record before the record is printed.

This callback can also be passed as an attribute to "csv" without the callbacks wrapper.

on_in

This callback acts exactly as the "after_in" or the "before_out" hooks.

This callback can also be passed as an attribute to "csv" without the callbacks wrapper.

EXAMPLES

Reading a CSV file line by line:

my $csv = Text::CSV.new(:auto_diag);
my $fh = open "file.csv", :r, :!chomp;
while (my @row = $csv.getline($fh)) {
    # do something with @$row
    }
$fh.close;

Reading only a single column

my $csv = Text::CSV.new(:auto_diag);
my $fh = open "file.csv", :r, :!chomp;
# get only the 4th column
my @column = $csv.getline_all($fh).map(*[3]);
$fh.close;

with "csv", you could do

my @column = csv(in => "file.csv", fragment => "col=4").map(*[0]);

or

my @column = csv(in => "file.csv", fragment => "col=4").map(*.flat);

Parsing CSV strings:

my $csv = Text::CSV.new(:keep_meta);

my $sample_input_string =
    q{"I said, ""Hi!""",Yes,"",2.34,,"1.09","\x[20ac]",};
if ($csv.parse($sample_input_string)) {
    my @field = $csv.fields;
    for ^@field.elems -> $col {
        my $quo = $csv.is_quoted($col) ? $csv.{quote_char} : "";
        printf "%2d: %s%s%s\n", $col, $quo, $field[$col], $quo;
        }
    }
else {
    print STDERR "parse failed on argument: ",
        $csv.error_input, "\n";
    $csv.error_diag;
    }

Printing CSV data

The fast way: using "print"

An example for creating CSV files using the "print" method:

my $csv = Text::CSV.new(eol => $*OUT.nl);
open my $fh, ">", "foo.csv" or die "foo.csv: $!";
for 1..10 -> $x {
    $csv.print($fh, [ $x, ~$x ]) or $csv.error_diag;
    }
close $fh or die "$tbl.csv: $!";

The slow way: using "combine" and "string"

or using the slower "combine" and "string" methods:

my $csv = Text::CSV.new;

open my $csv_fh, ">", "hello.csv" or die "hello.csv: $!";

my @sample_input_fields = (
    'You said, "Hello!"',   5.67,
    '"Surely"',   '',   '3.14159');
if ($csv.combine(@sample_input_fields)) {
    print $csv_fh $csv.string, "\n";
    }
else {
    print "combine failed on argument: ",
        $csv.error_input, "\n";
    }
close $csv_fh or die "hello.csv: $!";

Rewriting CSV

Rewrite CSV files with ; as separator character to well-formed CSV:

use Text::CSV qw( csv );
csv(in => csv(in => "bad.csv", sep => ";"), out => $*OUT);

Dumping database tables to CSV

Dumping a database table can be simple as this (TIMTOWTDI):

my $dbh = DBI.connect(...);
my $sql = "select * from foo";

# using your own loop
open my $fh, ">", "foo.csv" or die "foo.csv: $!\n";
my $csv = Text::CSV.new(eol => "\r\n");
my $sth = $dbh.prepare($sql); $sth.execute;
$csv.print($fh, $sth.{NAME_lc});
while (my $row = $sth.fetch) {
    $csv.print($fh, $row);
    }

# using the csv function, all in memory
csv(out => "foo.csv", in => $dbh.selectall_arrayref($sql));

# using the csv function, streaming with callbacks
my $sth = $dbh.prepare($sql); $sth.execute;
csv(out => "foo.csv", in => { $sth.fetch            });
csv(out => "foo.csv", in => { $sth.fetchrow_hashref });

Note that this does not discriminate between "empty" values and NULL-values from the database, as both will be the same empty field in CSV. To enable distinction between the two, use quote_empty.

csv(out => "foo.csv", in => { $sth.fetch }, :quote_empty);

If the database import utility supports special sequences to insert NULL values into the database, like MySQL/MariaDB supports \N, use a filter or a map

csv(out => "foo.csv", in => { $sth.fetch },
                   on_in => { $_ //= "\\N" for @$_[1] }); # WIP

while (my @row = $sth.fetch) {
    $csv.print($fh, @row.map({ * // "\\N" }));
    }

these special sequences are not recognized by Text::CSV_XS on parsing the CSV generated like this, but map and filter are your friends again

while (my @row = $csv.getline($io)) {
    $sth.execute(@row.map({ $_ eq "\\N" ?? Nil !! $_ }));
    }

csv(in => "foo.csv", filter => { 1 => {
    $sth.execute(@{$_[1]}.map({ $_ eq "\\N" ?? Nil !! $_ }); False; }});

The examples folder

For more extended examples, see the examples/ 1) sub-directory in the original distribution or the git repository 2).

1. https://github.com/Tux/Text-CSV_XS/tree/master/examples/
2. https://github.com/Tux/Text-CSV_XS/

The following files can be found there:

csv-check

This is a command-line tool to check the CSV file and report on its content.

TODO

csv2xls

A script to convert CSV to Microsoft Excel.

TODO

csvdiff

A script that provides colorized diff on sorted CSV files, assuming first line is header and first field is the key. Output options include colorized ANSI escape codes or HTML.

TODO

################################################################################

CAVEATS

Microsoft Excel

The import/export from Microsoft Excel is a risky task, according to the documentation in Text::CSV::Separator. Microsoft uses the system's list separator defined in the regional settings, which happens to be a semicolon for Dutch, German and Spanish (and probably some others as well). For the English locale, the default is a comma. In Windows however, the user is free to choose a predefined locale, and then change every individual setting in it, so checking the locale is no solution.

A lone first line with just

sep=;

will be recognized and honored: it will set sep to ; and skip that line.

TODO / WIP / NYI

Real binary data

The solution would be a working utf8-c8 encoding.

BOM detection

There is no working solution yet for detection of BOM on the "header" method. Besides that, not all encodings are supported in raku.

on-in and before-print callbacks

The "on-in" callback currently is an alias for "after-parse" if the latter is not specified.

Examples

Convert the perl5 example/tool files to raku versions

Metadata and CSV for the web

Metadata Vocabulary for Tabular Data (a W3C editor's draft) could be an example for supporting more metadata.

W3C's work CSV on the Web: Use Cases and Requirements is almost finished and worth looking at.

Cookbook

Write a document that has recipes for most known non-standard (and maybe some standard) CSV formats, including formats that use TAB, ;, |, or other non-comma separators.

Examples could be taken from W3C's CSV on the Web: Use Cases and Requirements

DIAGNOSTICS

Still under construction ...

This section describes the error codes that are used in perl5's module Text::CSV_XS, and several of these errors are either not applicable in raku or changed slightly. Once all of the API is finished, this section will be cleaned up. The intention of the error coded however remains.

If an error occurs, $csv.error_diag can be used to get information on the cause of the failure. Note that for speed reasons the internal value is never cleared on success, so using the value returned by "error_diag" in normal cases - when no error occurred - may cause unexpected results.

If the constructor failed, the cause will be thrown as an Exception that represents "error_diag".

The $csv.error_diag method is automatically invoked upon error when the contractor was called with auto_diag set to True.

Errors can be (individually) caught using the "error" callback.

The errors as described below are available. I have tried to make the error itself explanatory enough, but more descriptions will be added. For most of these errors, the first three capitals describe the error category:

INI

Initialization error or option conflict.
ECR

Carriage-Return related parse error.
EOF

End-Of-File related parse error.
EIQ

Parse error inside quotation.
EIF

Parse error inside field.
ECB

Combine error.
EHR

Hash parse related error.
EHK

Errors related to hooks/callbacks.
CSV

Errors related to the csv function.

And below should be the complete list of error codes that can be returned:

1001 "INI - separator is equal to quote- or escape sequence"

The separation sequence cannot be equal to the quotation sequence or to the escape sequence, as this would invalidate all parsing rules.
1002 "INI - allow_whitespace with escape_char or quote_char SP or TAB"

Using the allow_whitespace attribute when either quote_char or escape_char is equal to SPACE or TAB is too ambiguous to allow.
1003 "INI - \r or \n in main attr not allowed"

Using default eol sequences in either separation sequence, quotation sequence, or escape sequence is not allowed.
1004 "INI - callbacks should be undefined or a hashref"

The callbacks attribute only allows one to be undefined or a hash reference.
1010 "INI - the header is empty"

The header line parsed in the "header" is empty.
1011 "INI - the header contains more than one valid separator"

The header line parsed in the "header" contains more than one (unique) separator character out of the allowed set of separators.
1012 "INI - the header contains an empty field"

The header line parsed in the "header" is contains an empty field.
1013 "INI - the header contains nun-unique fields"

The header line parsed in the "header" contains at least two identical fields.
2010 "ECR - QUO char inside quotes followed by CR not part of EOL"

When eol has been set to anything but the default, like "\r\t\n", and the "\r" is following the second (closing) quote_char, where the characters following the "\r" do not make up the eol sequence, this is an error.
2011 "ECR - Characters after end of quoted field"

Sequences like 1,foo,"bar"baz,22,1 are not allowed. "bar" is a quoted field and after the closing double-quote, there should be either a new-line sequence or a separation sequence.
2012 "EOF - End of data in parsing input stream"

Self-explaining. End-of-file while inside parsing a stream. Can happen only when reading from streams with "getline", as using "parse" is done on strings that are not required to have a trailing eol.
2013 "INI - Specification error for fragments RFC7111"

Invalid specification for URI "fragment" specification.
2021 "EIQ - NL char inside quotes, binary off"

Sequences like 1,"foo\nbar",22,1 are allowed only when the binary option has been selected with the constructor.
2022 "EIQ - CR char inside quotes, binary off"

Sequences like 1,"foo\rbar",22,1 are allowed only when the binary option has been selected with the constructor.
2023 "EIQ - QUO sequence not allowed"

Sequences like "foo "bar" baz",qu and 2023,",2008-04-05,"Foo, Bar",\n will cause this error.
2024 "EIQ - EOF cannot be escaped, not even inside quotes"

The escape sequence is not allowed as last item in an input stream.
2025 "EIQ - Loose unescaped escape"

An escape sequence should escape only characters that need escaping.

Allowing the escape for other characters is possible with the attribute "allow_loose_escapes".
2026 "EIQ - Binary character inside quoted field, binary off"

Binary characters are not allowed by default. Exceptions are fields that contain valid UTF-8, that will automatically be upgraded if the content is valid UTF-8. Set binary to 1 to accept binary data.
2027 "EIQ - Quoted field not terminated"

When parsing a field that started with a quotation sequence, the field is expected to be closed with a quotation sequence. When the parsed line is exhausted before the quote is found, that field is not terminated.
2030 "EIF - NL char inside unquoted verbatim, binary off"
2031 "EIF - CR char is first char of field, not part of EOL"
2032 "EIF - CR char inside unquoted, not part of EOL"
2034 "EIF - Loose unescaped quote"
2035 "EIF - Escaped EOF in unquoted field"
2036 "EIF - ESC error"
2037 "EIF - Binary character in unquoted field, binary off"
2110 "ECB - Binary character in Combine, binary off"
2200 "EIO - print to IO failed. See errno"
3001 "EHR - Unsupported syntax for column_names"
3002 "EHR - getline_hr called before column_names"
3003 "EHR - bind_columns and column_names fields count mismatch"
3004 "EHR - bind_columns only accepts refs to scalars"
3006 "EHR - bind_columns did not pass enough refs for parsed fields"
3007 "EHR - bind_columns needs refs to writable scalars"
3008 "EHR - unexpected error in bound fields"
3009 "EHR - print_hr called before column_names"
3010 "EHR - print_hr called with invalid arguments"
3100 "EHK - Unsupported callback"
4001 "PRM - The key does not exist as field in the data",

You cannot set the key from a non-existing column.

If you were using a key list, all keys should exist.
5000 "CSV - Unsupported type for in"
5001 "CSV - Unsupported type for out"

AUTHOR

H.Merijn Brand <h.m.brand@xs4all.nl> wrote this based on the features provided by perl5's Text::CSV_XS.

Liz Mattijsen helped in getting the best out of raku.

COPYRIGHT AND LICENSE

Copyright (C) 2014-2018 H.Merijn Brand. All rights reserved.

This library is free software; you can redistribute and/or modify it under the same terms as Perl itself.

Files

Text-CSV.pod

Latest commit

History

Text-CSV.pod

File metadata and controls

DISCLAIMER

NAME

SYNOPSIS

DESCRIPTION

Embedded newlines

Binary data

SPECIFICATION

METHODS

version

new

print

say

combine

string

getline

getline_all =head2 getline-all

getline_hr =head2 getline-hr

getline_hr_all =head2 getline-hr-all

parse

fragment

colrange

rowrange

column_names =head2 column-names

header

return value

Options

bind_columns =head2 bind-columns

eof

types

row

fields

strings

meta_info

meta-info

is_quoted

is-quoted

is_binary

is-binary

is_missing

is-missing

status

error_input

error-input

DIAGNOSTICS

CSV::Diag

error_diag

error-diag

record_number

set_diag

CSV::Field

new

Bool

text =head2 Str

Buf

Numeric

gist

add

set_quoted

is_quoted

undefined

is_binary

is_utf8

is_missing

CSV::Row

methods

FUNCTIONS

csv

in

out

encoding

detect-bom

headers

munge-column-names

key