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Revision da364d0f

Von Kivitendo Admin vor fast 10 Jahren hinzugefügt

  • ID da364d0f6dd660d289f890c1423b0c0dd51f690c
  • Vorgänger 903029f6
  • Nachfolger e2bd1278

Typos in Doku

Unterschiede anzeigen:

SL/Helper/Csv.pm
119 119
        0,
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        0]) unless $info_ok;
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      # If header is given, there need to be a header for each profile
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      # If header is given, there needs to be a header for each profile
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      # and no empty headers.
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      if ($info_ok && $self->header) {
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        my @header = @{ $self->header };
......
195 195
  # people insist that case sensitivity doesn't exist and try to enter all
196 196
  # sorts of stuff. at this point we've got a profile (with keys that represent
197 197
  # valid methods), and a header full of strings. if two of them match, the user
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  # mopst likely meant that field, so rewrite the header
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  # most likely meant that field, so rewrite the header
199 199
  if ($self->case_insensitive_header) {
200 200
    die 'case_insensitive_header is only possible with profile' unless $self->profile;
201 201
    if ($header) {
......
221 221
sub _check_multiplex_datatype_position {
222 222
  my ($self) = @_;
223 223

  
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  return 1 if !$self->is_multiplexed; # ok if if not multiplexed
224
  return 1 if !$self->is_multiplexed; # ok if not multiplexed
225 225

  
226 226
  my @positions = map { firstidx { 'datatype' eq lc($_) } @{ $_ } } @{ $self->header };
227 227
  my $first_pos = $positions[0];
......
368 368

  
369 369
See Synopsis.
370 370

  
371
Text::CSV offeres already good functions to get lines out of a csv file, but in
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most cases you will want those line to be parsed into hashes or even objects,
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Text::CSV already offers good functions to get lines out of a csv file, but in
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most cases you will want those lines to be parsed into hashes or even objects,
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so this model just skips ahead and gives you objects.
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Its basic assumptions are:
......
378 378

  
379 379
=item You do know what you expect to be in that csv file.
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This means first and foremost you have knowledge about encoding, number and
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This means first and foremost that you have knowledge about encoding, number and
382 382
date format, csv parameters such as quoting and separation characters. You also
383 383
know what content will be in that csv and what L<Rose::DB> is responsible for
384 384
it. You provide valid header columns and their mapping to the objects.
......
493 493
In this case C<listprice_as_number> will be used to read in values from the
494 494
C<listprice> column.
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In case of a One-To-One relationsship these can also be set over
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relationsships by sparating the steps with a dot (C<.>). This will work:
496
In case of a One-To-One relationship these can also be set over
497
relationships by separating the steps with a dot (C<.>). This will work:
498 498

  
499 499
  [ {profile => { customer => 'customer.name' }} ]
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