1 package SL::Helper::Csv;
9 use Params::Validate qw(:all);
10 use List::MoreUtils qw(all pairwise firstidx);
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
16 _multiplex_datatype_position
19 use SL::Helper::Csv::Dispatcher;
20 use SL::Helper::Csv::Error;
26 my %params = validate(@_, {
27 sep_char => { default => ';' },
28 quote_char => { default => '"' },
29 escape_char => { default => '"' },
30 header => { type => ARRAYREF, optional => 1 },
31 profile => { type => ARRAYREF, optional => 1 },
36 ignore_unknown_columns => 0,
38 case_insensitive_header => 0,
40 my $self = bless {}, $class;
42 $self->$_($params{$_}) for keys %params;
44 $self->_io(IO::File->new);
45 $self->_csv(Text::CSV_XS->new({
47 sep_char => $self->sep_char,
48 quote_char => $self->quote_char,
49 escape_char => $self->escape_char,
58 my ($self, %params) = @_;
61 return if ! $self->_check_multiplexed;
62 return if ! $self->_check_header;
63 return if ! $self->_check_multiplex_datatype_position;
64 return if ! $self->dispatcher->parse_profile;
65 return if ! $self->_parse_data;
76 my ($self, %params) = @_;
77 croak 'must parse first' unless $self->_parsed;
79 $self->_make_objects unless $self->_objects;
80 return $self->_objects;
94 my ($self, %params) = @_;
96 $self->encoding($self->_guess_encoding) if !$self->encoding;
98 $self->_io->open($self->file, '<' . $self->_encode_layer)
99 or die "could not open file " . $self->file;
104 # check, if data is multiplexed and if all nessesary infos are given
105 sub _check_multiplexed {
106 my ($self, %params) = @_;
108 $self->is_multiplexed(0);
110 # If more than one profile is given, it is multiplexed.
111 if ($self->profile) {
112 my @profile = @{ $self->profile };
113 if (scalar @profile > 1) {
114 # Each profile needs a class and a row_ident
115 my $info_ok = all { defined $_->{class} && defined $_->{row_ident} } @profile;
118 "missing class or row_ident in one of the profiles for multiplexed data",
122 # If header is given, there needs to be a header for each profile
123 # and no empty headers.
124 if ($info_ok && $self->header) {
125 my @header = @{ $self->header };
126 my $t_ok = scalar @profile == scalar @header;
129 "number of headers and number of profiles must be the same for multiplexed data",
132 $info_ok = $info_ok && $t_ok;
134 $t_ok = all { scalar @$_ > 0} @header;
137 "no empty headers are allowed for multiplexed data",
140 $info_ok = $info_ok && $t_ok;
142 $self->is_multiplexed($info_ok);
147 # ok, if not multiplexed
152 my ($self, %params) = @_;
155 $header = $self->header;
157 my $n_header = ($self->is_multiplexed)? scalar @{ $self->profile } : 1;
158 foreach my $p_num (0..$n_header - 1) {
159 my $h = $self->_csv->getline($self->_io);
162 $self->_csv->error_input,
163 $self->_csv->error_diag,
167 if ($self->is_multiplexed) {
168 push @{ $header }, $h;
175 # Special case: utf8 BOM.
176 # certain software (namely MS Office and notepad.exe insist on prefixing
177 # data with a discouraged but valid byte order mark
178 # if not removed, the first header field will not be recognized
180 my $h = ($self->is_multiplexed)? $header->[0] : $header;
182 if ($h && $h->[0] && $self->encoding =~ /utf-?8/i) {
183 $h->[0] =~ s/^\x{FEFF}//;
187 # check, if all header fields are parsed well
188 if ($self->is_multiplexed) {
189 return unless $header && all { $_ } @$header;
191 return unless $header;
194 # Special case: human stupidity
195 # people insist that case sensitivity doesn't exist and try to enter all
196 # sorts of stuff. at this point we've got a profile (with keys that represent
197 # valid methods), and a header full of strings. if two of them match, the user
198 # most likely meant that field, so rewrite the header
199 if ($self->case_insensitive_header) {
200 die 'case_insensitive_header is only possible with profile' unless $self->profile;
202 my $h_aref = ($self->is_multiplexed)? $header : [ $header ];
204 foreach my $h (@{ $h_aref }) {
206 keys %{ $self->profile->[$p_num]->{profile} || {} },
208 for my $name (@names) {
209 for my $i (0..$#$h) {
210 $h->[$i] = $name if lc $h->[$i] eq lc $name;
218 return $self->header($header);
221 sub _check_multiplex_datatype_position {
224 return 1 if !$self->is_multiplexed; # ok if not multiplexed
226 my @positions = map { firstidx { 'datatype' eq lc($_) } @{ $_ } } @{ $self->header };
227 my $first_pos = $positions[0];
228 if (all { $first_pos == $_ } @positions) {
229 $self->_multiplex_datatype_position($first_pos);
232 $self->_push_error([0,
233 "datatype field must be at the same position for all datatypes for multiplexed data",
241 my ($self, %params) = @_;
245 my $row = $self->_csv->getline($self->_io);
247 my $header = $self->_header_by_row($row);
251 "Cannot get header for row. Maybe row name and datatype field not matching.",
257 @hr{@{ $header }} = @$row;
260 last if $self->_csv->eof;
261 # Text::CSV_XS 0.89 added record number to error_diag
262 if (qv(Text::CSV_XS->VERSION) >= qv('0.89')) {
264 $self->_csv->error_input,
265 $self->_csv->error_diag,
269 $self->_csv->error_input,
270 $self->_csv->error_diag,
271 $self->_io->input_line_number,
275 last if $self->_csv->eof;
278 $self->_data(\@data);
279 $self->_push_error(@errors);
285 my ($self, $row) = @_;
287 # initialize lookup hash if not already done
288 if ($self->is_multiplexed && ! defined $self->_row_header ) {
289 $self->_row_header({ pairwise { no warnings 'once'; $a->{row_ident} => $b } @{ $self->profile }, @{ $self->header } });
292 if ($self->is_multiplexed) {
293 return $self->_row_header->{$row->[$self->_multiplex_datatype_position]}
295 return $self->header;
300 ':encoding(' . $_[0]->encoding . ')';
304 my ($self, %params) = @_;
307 local $::myconfig{numberformat} = $self->numberformat if $self->numberformat;
308 local $::myconfig{dateformat} = $self->dateformat if $self->dateformat;
310 for my $line (@{ $self->_data }) {
311 my $tmp_obj = $self->dispatcher->dispatch($line);
312 push @objs, $tmp_obj;
315 $self->_objects(\@objs);
319 my ($self, %params) = @_;
321 $self->{_dispatcher} ||= $self->_make_dispatcher;
324 sub _make_dispatcher {
325 my ($self, %params) = @_;
327 die 'need a header to make a dispatcher' unless $self->header;
329 return SL::Helper::Csv::Dispatcher->new($self);
332 sub _guess_encoding {
338 my ($self, @errors) = @_;
339 my @new_errors = ($self->errors, map { SL::Helper::Csv::Error->new(@$_) } @errors);
340 $self->_errors(\@new_errors);
352 SL::Helper::Csv - take care of csv file uploads
358 my $csv = SL::Helper::Csv->new(
359 file => \$::form->{upload_file},
360 encoding => 'utf-8', # undef means utf8
361 sep_char => ',', # default ';'
362 quote_char => '\'', # default '"'
363 escape_char => '"', # default '"'
364 header => [ qw(id text sellprice word) ], # see later
365 profile => [ { profile => { sellprice => 'sellprice_as_number'},
366 class => 'SL::DB::Part' } ],
369 my $status = $csv->parse;
370 my $hrefs = $csv->get_data;
371 my $objects = $csv->get_objects;
373 my @errors = $csv->errors;
379 Text::CSV already offers good functions to get lines out of a csv file, but in
380 most cases you will want those lines to be parsed into hashes or even objects,
381 so this model just skips ahead and gives you objects.
383 Its basic assumptions are:
387 =item You do know what you expect to be in that csv file.
389 This means first and foremost that you have knowledge about encoding, number and
390 date format, csv parameters such as quoting and separation characters. You also
391 know what content will be in that csv and what L<Rose::DB> is responsible for
392 it. You provide valid header columns and their mapping to the objects.
394 =item You do NOT know if the csv provider yields to your expectations.
396 Stuff that does not work with what you expect should not crash anything, but
397 give you a hint what went wrong. As a result, if you remember to check for
398 errors after each step, you should be fine.
400 =item Data does not make sense. It's just data.
402 Almost all data imports have some type of constraints. Some data needs to be
403 unique, other data needs to be connected to existing data sets. This will not
404 happen here. You will receive a plain mapping of the data into the class tree,
409 This module can handle multiplexed data of different class types. In that case
410 multiple profiles with classes and row identifiers must be given. Multiple
411 headers may also be given or read from csv data. Data must contain the row
412 identifier in the column named 'datatype'.
422 Standard constructor. You can use this to set most of the data.
426 Do the actual work. Will return true ($self actually) if success, undef if not.
430 Parse the data into objects and return those.
432 This method will return an arrayref of all objects.
436 Returns an arrayref of the raw lines as hashrefs.
440 Return all errors that came up during parsing. See error handling for detailed
451 The file which contents are to be read. Can be a name of a physical file or a
452 scalar ref for memory data.
456 Encoding of the CSV file. Note that this module does not do any encoding
457 guessing. Know what your data is. Defaults to utf-8.
465 Same as in L<Text::CSV>
467 =item C<header> \@HEADERS
469 If given, it contains an ARRAY of the header fields for not multiplexed data.
470 Or an ARRAYREF for each different class type for multiplexed data. These
471 ARRAYREFS are the header fields which are an array of columns. In this case
472 the first lines are not used as a header. Empty header fields will be ignored
475 If not given, headers are taken from the first n lines of data, where n is the
476 number of different class types.
478 In case of multiplexed data there must be a column named 'datatype'. This
479 column must be given in each header and must be at the same position in each
484 classic data of one type:
485 [ 'name', 'street', 'zipcode', 'city' ]
487 multiplexed data with two different types:
488 [ [ 'datatype', 'ordernumber', 'customer', 'transdate' ],
489 [ 'datatype', 'partnumber', 'qty', 'sellprice' ] ]
491 =item C<profile> PROFILE_DATA
493 The profile mapping csv to the objects.
495 See section L</PROFILE> for information on this topic.
497 =item C<ignore_unknown_columns>
499 If set, the import will ignore unkown header columns. Useful for lazy imports,
500 but deactivated by default.
502 =item C<case_insensitive_header>
504 If set, header columns will be matched against profile entries case
505 insensitive, and on match the profile name will be taken.
507 Only works if a profile is given, will die otherwise.
509 If both C<case_insensitive_header> and C<strict_profile> is set, matched header
510 columns will be accepted.
512 =item C<strict_profile>
514 If set, all columns to be parsed must be specified in C<profile>. Every header
515 field not listed there will be treated like an unknown column.
517 If both C<case_insensitive_header> and C<strict_profile> is set, matched header
518 columns will be accepted.
524 The profile is needed for mapping csv data to the accessors in the data object.
526 The basic structure is:
528 PROFILE := [ CLASS_PROFILE, CLASS_PROFILE* ]
530 profile => { ACCESSORS },
532 row_ident => $row_ident,
534 ACCESSORS := $field => $accessor, ACCESSORS*
536 The C<profile> is a HASHREF which may be used to map header fields to custom
542 listprice => 'listprice_as_number',
547 In this case C<listprice_as_number> will be used to store the values from the
550 In case of a One-To-One relationship these can also be set over
551 relationships by separating the steps with a dot (C<.>). This will work:
553 customer => 'customer.name',
555 And will result in something like this:
557 $obj->customer($obj->meta->relationship('customer')->class->new);
558 $obj->customer->name($csv_line->{customer})
560 Beware, this will not try to look up anything in the database! You will
561 simply receive objects that represent what the profile defined. If some of
562 these information are unique, or should be connected to preexisting data, you
563 will have to do that for yourself. Since you provided the profile, it is
564 assumed you know what to do in this case.
566 If no profile is given, any header field found will be taken as is.
568 If the path in a profile entry is empty, the field will be subjected to
569 C<strict_profile> and C<case_insensitive_header> checking and will be parsed
570 into C<get_data>, but will not be attempted to be dispatched into objects.
572 C<class> must be present. A new instance will be created for each line before
575 C<row_ident> is used to determine the correct profile in multiplexed data and
576 must be given there. It's not used in non-multiplexed data.
581 class => 'SL::DB::Order',
585 class => 'SL::DB::OrderItem',
587 profile => { sellprice => 'sellprice_as_number' }
591 =head1 ERROR HANDLING
593 After parsing a file all errors will be accumulated into C<errors>.
594 Each entry is an object with the following attributes:
596 raw_input: offending raw input,
597 code: Text::CSV error code if Text:CSV signalled an error, 0 else,
598 diag: error diagnostics,
599 line: position in line,
600 col: estimated line in file,
602 Note that the last entry can be off, but will give an estimate.
610 sep_char, quote_char, and escape_char are passed to Text::CSV on creation.
611 Changing them later has no effect currently.
615 Encoding errors are not dealt with properly.
621 Dispatch to child objects, like this:
623 $csv = SL::Helper::Csv->new(
636 class => SL::DB::Part,
642 Sven Schöling E<lt>s.schoeling@linet-services.deE<gt>