1 package SL::Helper::Csv;
9 use Params::Validate qw(:all);
10 use List::MoreUtils qw(all pairwise);
12 use Rose::Object::MakeMethods::Generic scalar => [ qw(
13 file encoding sep_char quote_char escape_char header profile
14 numberformat dateformat ignore_unknown_columns strict_profile is_multiplexed
15 _row_header _io _csv _objects _parsed _data _errors all_cvar_configs case_insensitive_header
18 use SL::Helper::Csv::Dispatcher;
19 use SL::Helper::Csv::Error;
25 my %params = validate(@_, {
26 sep_char => { default => ';' },
27 quote_char => { default => '"' },
28 escape_char => { default => '"' },
29 header => { type => ARRAYREF, optional => 1 },
30 profile => { type => ARRAYREF, optional => 1 },
35 ignore_unknown_columns => 0,
37 case_insensitive_header => 0,
39 my $self = bless {}, $class;
41 $self->$_($params{$_}) for keys %params;
43 $self->_io(IO::File->new);
44 $self->_csv(Text::CSV_XS->new({
46 sep_char => $self->sep_char,
47 quote_char => $self->quote_char,
48 escape_char => $self->escape_char,
57 my ($self, %params) = @_;
60 return if ! $self->_check_multiplexed;
61 return if ! $self->_check_header;
62 return if ! $self->dispatcher->parse_profile;
63 return if ! $self->_parse_data;
74 my ($self, %params) = @_;
75 croak 'must parse first' unless $self->_parsed;
77 $self->_make_objects unless $self->_objects;
78 return wantarray ? @{ $self->_objects } : $self->_objects;
92 my ($self, %params) = @_;
94 $self->encoding($self->_guess_encoding) if !$self->encoding;
96 $self->_io->open($self->file, '<' . $self->_encode_layer)
97 or die "could not open file " . $self->file;
102 # check, if data is multiplexed and if all nessesary infos are given
103 sub _check_multiplexed {
104 my ($self, %params) = @_;
106 $self->is_multiplexed(0);
108 # If more than one profile is given, it is multiplexed.
109 if ($self->profile) {
110 my @profile = @{ $self->profile };
111 if (scalar @profile > 1) {
112 # Each profile needs a class and a row_ident
113 my $info_ok = all { defined $_->{class} && defined $_->{row_ident} } @profile;
115 # If header is given, there need to be a header for each profile
116 # and no empty headers.
117 if ($info_ok && $self->header) {
118 my @header = @{ $self->header };
119 $info_ok = $info_ok && scalar @profile == scalar @header;
120 $info_ok = $info_ok && all { scalar @$_ > 0} @header;
122 $self->is_multiplexed($info_ok);
127 # ok, if not multiplexed
132 my ($self, %params) = @_;
135 $header = $self->header;
137 my $n_header = ($self->is_multiplexed)? scalar @{ $self->profile } : 1;
138 foreach my $p_num (0..$n_header - 1) {
139 my $h = $self->_csv->getline($self->_io);
142 $self->_csv->error_input,
143 $self->_csv->error_diag,
147 push @{ $header }, $h;
151 # Special case: utf8 BOM.
152 # certain software (namely MS Office and notepad.exe insist on prefixing
153 # data with a discouraged but valid byte order mark
154 # if not removed, the first header field will not be recognized
156 my $h = $header->[0];
157 if ($h && $h->[0] && $self->encoding =~ /utf-?8/i) {
158 $h->[0] =~ s/^\x{FEFF}//;
162 # check, if all header fields are parsed well
163 return unless $header && all { $_ } @$header;
165 # Special case: human stupidity
166 # people insist that case sensitivity doesn't exist and try to enter all
167 # sorts of stuff. at this point we've got a profile (with keys that represent
168 # valid methods), and a header full of strings. if two of them match, the user
169 # mopst likely meant that field, so rewrite the header
170 if ($self->case_insensitive_header) {
171 die 'case_insensitive_header is only possible with profile' unless $self->profile;
173 keys %{ $self->profile || {} },
175 for my $name (@names) {
176 for my $i (0..$#$header) {
177 $header->[$i] = $name if lc $header->[$i] eq lc $name;
182 return $self->header($header);
186 my ($self, %params) = @_;
190 my $row = $self->_csv->getline($self->_io);
192 my $header = $self->_header_by_row($row);
194 @hr{@{ $header }} = @$row;
197 last if $self->_csv->eof;
198 # Text::CSV_XS 0.89 added record number to error_diag
199 if (qv(Text::CSV_XS->VERSION) >= qv('0.89')) {
201 $self->_csv->error_input,
202 $self->_csv->error_diag,
206 $self->_csv->error_input,
207 $self->_csv->error_diag,
208 $self->_io->input_line_number,
212 last if $self->_csv->eof;
215 $self->_data(\@data);
216 $self->_push_error(@errors);
222 my ($self, $row) = @_;
224 # initialize lookup hash if not already done
225 if ($self->is_multiplexed && ! defined $self->_row_header ) {
226 $self->_row_header({ pairwise { $a->{row_ident} => $b } @{ $self->profile }, @{ $self->header } });
229 if ($self->is_multiplexed) {
230 return $self->_row_header->{$row->[0]}
232 return $self->header->[0];
237 ':encoding(' . $_[0]->encoding . ')';
241 my ($self, %params) = @_;
244 local $::myconfig{numberformat} = $self->numberformat if $self->numberformat;
245 local $::myconfig{dateformat} = $self->dateformat if $self->dateformat;
247 for my $line (@{ $self->_data }) {
248 my $tmp_obj = $self->dispatcher->dispatch($line);
249 push @objs, $tmp_obj;
252 $self->_objects(\@objs);
256 my ($self, %params) = @_;
258 $self->{_dispatcher} ||= $self->_make_dispatcher;
261 sub _make_dispatcher {
262 my ($self, %params) = @_;
264 die 'need a header to make a dispatcher' unless $self->header;
266 return SL::Helper::Csv::Dispatcher->new($self);
269 sub _guess_encoding {
275 my ($self, @errors) = @_;
276 my @new_errors = ($self->errors, map { SL::Helper::Csv::Error->new(@$_) } @errors);
277 $self->_errors(\@new_errors);
289 SL::Helper::Csv - take care of csv file uploads
295 my $csv = SL::Helper::Csv->new(
296 file => \$::form->{upload_file},
297 encoding => 'utf-8', # undef means utf8
298 sep_char => ',', # default ';'
299 quote_char => '\'', # default '"'
300 escape_char => '"', # default '"'
301 header => [ [qw(id text sellprice word)] ], # see later
302 profile => [ { profile => { sellprice => 'sellprice_as_number'},
303 class => 'SL::DB::Part' } ],
306 my $status = $csv->parse;
307 my $hrefs = $csv->get_data;
308 my @objects = $csv->get_objects;
310 my @errors = $csv->errors;
316 Text::CSV offeres already good functions to get lines out of a csv file, but in
317 most cases you will want those line to be parsed into hashes or even objects,
318 so this model just skips ahead and gives you objects.
320 Its basic assumptions are:
324 =item You do know what you expect to be in that csv file.
326 This means first and foremost you have knowledge about encoding, number and
327 date format, csv parameters such as quoting and separation characters. You also
328 know what content will be in that csv and what L<Rose::DB> is responsible for
329 it. You provide valid header columns and their mapping to the objects.
331 =item You do NOT know if the csv provider yields to your expectations.
333 Stuff that does not work with what you expect should not crash anything, but
334 give you a hint what went wrong. As a result, if you remember to check for
335 errors after each step, you should be fine.
337 =item Data does not make sense. It's just data.
339 Almost all data imports have some type of constraints. Some data needs to be
340 unique, other data needs to be connected to existing data sets. This will not
341 happen here. You will receive a plain mapping of the data into the class tree,
346 This module can handle multiplexed data of different class types. In that case
347 multiple profiles with classes and row identifiers must be given. Multiple
348 headers may also be given or read from csv data. Data must contain the row
349 identifier in the first column and it's field name must be 'datatype'.
359 Standard constructor. You can use this to set most of the data.
363 Do the actual work. Will return true ($self actually) if success, undef if not.
367 Parse the data into objects and return those.
369 This method will return list or arrayref depending on context.
373 Returns an arrayref of the raw lines as hashrefs.
377 Return all errors that came up during parsing. See error handling for detailed
388 The file which contents are to be read. Can be a name of a physical file or a
389 scalar ref for memory data.
393 Encoding of the CSV file. Note that this module does not do any encoding
394 guessing. Know what your data is. Defaults to utf-8.
402 Same as in L<Text::CSV>
404 =item C<header> \@HEADERS
406 If given, it contains an ARRAYREF for each different class type (i.e. one
407 ARRAYREF if the data is only of one class type). These ARRAYREFS are the header
408 fields which are an array of columns. In this case the first lines are not used
409 as a header. Empty header fields will be ignored in objects.
411 If not given, headers are taken from the first n lines of data, where n is the
412 number of different class types.
416 classic data of one type:
417 [ [ 'name', 'street', 'zipcode', 'city' ] ]
419 multiplexed data with two different types
420 [ [ 'ordernumber', 'customer', 'transdate' ], [ 'partnumber', 'qty', 'sellprice' ] ]
422 =item C<profile> [{profile => \%ACCESSORS, class => class, row_ident => ri},]
424 This is an ARRAYREF to HASHREFs which may contain the keys C<profile>, C<class>
427 The C<profile> is a HASHREF which may be used to map header fields to custom
430 [ {profile => { listprice => listprice_as_number }} ]
432 In this case C<listprice_as_number> will be used to read in values from the
435 In case of a One-To-One relationsship these can also be set over
436 relationsships by sparating the steps with a dot (C<.>). This will work:
438 [ {profile => { customer => 'customer.name' }} ]
440 And will result in something like this:
442 $obj->customer($obj->meta->relationship('customer')->class->new);
443 $obj->customer->name($csv_line->{customer})
445 But beware, this will not try to look up anything in the database. You will
446 simply receive objects that represent what the profile defined. If some of
447 these information are unique, and should be connected to preexisting data, you
448 will have to do that for yourself. Since you provided the profile, it is
449 assumed you know what to do in this case.
451 If C<class> is present, the line will be handed to the new sub of this class,
452 and the return value used instead of the line itself.
454 C<row_ident> is a string to recognize the right profile and class for each data
455 line in multiplexed data.
457 In case of multiplexed data, C<class> and C<row_ident> must be given.
460 class => 'SL::DB::Order',
464 class => 'SL::DB::OrderItem',
466 profile => {sellprice => sellprice_as_number}
469 =item C<ignore_unknown_columns>
471 If set, the import will ignore unkown header columns. Useful for lazy imports,
472 but deactivated by default.
474 =item C<case_insensitive_header>
476 If set, header columns will be matched against profile entries case
477 insensitive, and on match the profile name will be taken.
479 Only works if a profile is given, will die otherwise.
481 If both C<case_insensitive_header> and C<strict_profile> is set, matched header
482 columns will be accepted.
484 =item C<strict_profile>
486 If set, all columns to be parsed must be specified in C<profile>. Every header
487 field not listed there will be treated like an unknown column.
489 If both C<case_insensitive_header> and C<strict_profile> is set, matched header
490 columns will be accepted.
494 =head1 ERROR HANDLING
496 After parsing a file all errors will be accumulated into C<errors>.
497 Each entry is an object with the following attributes:
499 raw_input: offending raw input,
500 code: Text::CSV error code if Text:CSV signalled an error, 0 else,
501 diag: error diagnostics,
502 line: position in line,
503 col: estimated line in file,
505 Note that the last entry can be off, but will give an estimate.
513 sep_char, quote_char, and escape_char are passed to Text::CSV on creation.
514 Changing them later has no effect currently.
518 Encoding errors are not dealt with properly.
524 Dispatch to child objects, like this:
526 $csv = SL::Helper::Csv->new(
539 class => SL::DB::Part,
545 Sven Schöling E<lt>s.schoeling@linet-services.deE<gt>