use Carp;
use IO::File;
use Params::Validate qw(:all);
-use List::MoreUtils qw(all pairwise);
+use List::MoreUtils qw(all pairwise firstidx);
use Text::CSV_XS;
use Rose::Object::MakeMethods::Generic scalar => [ qw(
file encoding sep_char quote_char escape_char header profile
numberformat dateformat ignore_unknown_columns strict_profile is_multiplexed
_row_header _io _csv _objects _parsed _data _errors all_cvar_configs case_insensitive_header
+ _multiplex_datatype_position
) ];
use SL::Helper::Csv::Dispatcher;
$self->_open_file;
return if ! $self->_check_multiplexed;
return if ! $self->_check_header;
+ return if ! $self->_check_multiplex_datatype_position;
return if ! $self->dispatcher->parse_profile;
return if ! $self->_parse_data;
if (scalar @profile > 1) {
# Each profile needs a class and a row_ident
my $info_ok = all { defined $_->{class} && defined $_->{row_ident} } @profile;
+ $self->_push_error([
+ 0,
+ "missing class or row_ident in one of the profiles for multiplexed data",
+ 0,
+ 0]) unless $info_ok;
# If header is given, there need to be a header for each profile
# and no empty headers.
if ($info_ok && $self->header) {
my @header = @{ $self->header };
- $info_ok = $info_ok && scalar @profile == scalar @header;
- $info_ok = $info_ok && all { scalar @$_ > 0} @header;
+ my $t_ok = scalar @profile == scalar @header;
+ $self->_push_error([
+ 0,
+ "number of headers and number of profiles must be the same for multiplexed data",
+ 0,
+ 0]) unless $t_ok;
+ $info_ok = $info_ok && $t_ok;
+
+ $t_ok = all { scalar @$_ > 0} @header;
+ $self->_push_error([
+ 0,
+ "no empty headers are allowed for multiplexed data",
+ 0,
+ 0]) unless $t_ok;
+ $info_ok = $info_ok && $t_ok;
}
$self->is_multiplexed($info_ok);
return $info_ok;
0,
]) unless $h;
- push @{ $header }, $h;
+ if ($self->is_multiplexed) {
+ push @{ $header }, $h;
+ } else {
+ $header = $h;
+ }
}
}
# data with a discouraged but valid byte order mark
# if not removed, the first header field will not be recognized
if ($header) {
- my $h = $header->[0];
+ my $h = ($self->is_multiplexed)? $header->[0] : $header;
+
if ($h && $h->[0] && $self->encoding =~ /utf-?8/i) {
$h->[0] =~ s/^\x{FEFF}//;
}
}
# check, if all header fields are parsed well
- return unless $header && all { $_ } @$header;
+ if ($self->is_multiplexed) {
+ return unless $header && all { $_ } @$header;
+ } else {
+ return unless $header;
+ }
# Special case: human stupidity
# people insist that case sensitivity doesn't exist and try to enter all
if ($self->case_insensitive_header) {
die 'case_insensitive_header is only possible with profile' unless $self->profile;
if ($header) {
- my $p_num = 0;
- foreach my $h (@{ $header }) {
+ my $h_aref = ($self->is_multiplexed)? $header : [ $header ];
+ my $p_num = 0;
+ foreach my $h (@{ $h_aref }) {
my @names = (
keys %{ $self->profile->[$p_num]->{profile} || {} },
);
return $self->header($header);
}
+sub _check_multiplex_datatype_position {
+ my ($self) = @_;
+
+ return 1 if !$self->is_multiplexed; # ok if if not multiplexed
+
+ my @positions = map { firstidx { 'datatype' eq lc($_) } @{ $_ } } @{ $self->header };
+ my $first_pos = $positions[0];
+ if (all { $first_pos == $_ } @positions) {
+ $self->_multiplex_datatype_position($first_pos);
+ return 1;
+ } else {
+ $self->_push_error([0,
+ "datatype field must be at the same position for all datatypes for multiplexed data",
+ 0,
+ 0]);
+ return 0;
+ }
+}
+
sub _parse_data {
my ($self, %params) = @_;
my (@data, @errors);
# initialize lookup hash if not already done
if ($self->is_multiplexed && ! defined $self->_row_header ) {
- $self->_row_header({ pairwise { $a->{row_ident} => $b } @{ $self->profile }, @{ $self->header } });
+ $self->_row_header({ pairwise { no warnings 'once'; $a->{row_ident} => $b } @{ $self->profile }, @{ $self->header } });
}
-
+
if ($self->is_multiplexed) {
- return $self->_row_header->{$row->[0]}
+ return $self->_row_header->{$row->[$self->_multiplex_datatype_position]}
} else {
- return $self->header->[0];
+ return $self->header;
}
}
sep_char => ',', # default ';'
quote_char => '\'', # default '"'
escape_char => '"', # default '"'
- header => [ [qw(id text sellprice word)] ], # see later
+ header => [ qw(id text sellprice word) ], # see later
profile => [ { profile => { sellprice => 'sellprice_as_number'},
class => 'SL::DB::Part' } ],
);
This module can handle multiplexed data of different class types. In that case
multiple profiles with classes and row identifiers must be given. Multiple
headers may also be given or read from csv data. Data must contain the row
-identifier in the first column and it's field name must be 'datatype'.
+identifier in the column named 'datatype'.
=back
=item C<header> \@HEADERS
-If given, it contains an ARRAYREF for each different class type (i.e. one
-ARRAYREF if the data is only of one class type). These ARRAYREFS are the header
-fields which are an array of columns. In this case the first lines are not used
-as a header. Empty header fields will be ignored in objects.
+If given, it contains an ARRAY of the header fields for not multiplexed data.
+Or an ARRAYREF for each different class type for multiplexed data. These
+ARRAYREFS are the header fields which are an array of columns. In this case
+the first lines are not used as a header. Empty header fields will be ignored
+in objects.
If not given, headers are taken from the first n lines of data, where n is the
number of different class types.
+In case of multiplexed data there must be a column named 'datatype'. This
+column must be given in each header and must be at the same position in each
+header.
+
Examples:
classic data of one type:
- [ [ 'name', 'street', 'zipcode', 'city' ] ]
+ [ 'name', 'street', 'zipcode', 'city' ]
- multiplexed data with two different types
- [ [ 'ordernumber', 'customer', 'transdate' ], [ 'partnumber', 'qty', 'sellprice' ] ]
+ multiplexed data with two different types:
+ [ [ 'datatype', 'ordernumber', 'customer', 'transdate' ],
+ [ 'datatype', 'partnumber', 'qty', 'sellprice' ] ]
=item C<profile> [{profile => \%ACCESSORS, class => class, row_ident => ri},]
and the return value used instead of the line itself.
C<row_ident> is a string to recognize the right profile and class for each data
-line in multiplexed data.
+line in multiplexed data. It must match the value in the column 'dataype' for
+each class.
In case of multiplexed data, C<class> and C<row_ident> must be given.
Example:
projects / kivitendo-erp.git / blobdiff