t/real/wpd.t

use strict;
use warnings;
use Test::More;
use Data::Dumper;
use JSON::XS;

use Benchmark qw/:hireswallclock/;

my $t = Benchmark->new;

use utf8;
use lib 'lib', '../lib';

use File::Basename 'dirname';
use File::Spec::Functions 'catdir';

use_ok('KorAP::XML::Krill');

# GOE/AGA/03828
my $path = catdir(dirname(__FILE__), '../corpus/WPD/00001');

ok(my $doc = KorAP::XML::Krill->new( path => $path . '/' ), 'Load Korap::Document');
ok($doc->parse, 'Parse document');

is($doc->text_sigle, 'WPD/AAA/00001', 'Correct text sigle');
is($doc->doc_sigle, 'WPD/AAA', 'Correct document sigle');
is($doc->corpus_sigle, 'WPD', 'Correct corpus sigle');

my $meta = $doc->meta;
is($meta->{title}, 'A', 'Title');
is($meta->{pub_place}, 'URL:http://de.wikipedia.org', 'PubPlace');
is($meta->{pub_date}, '20050328', 'Creation Date');
ok(!$meta->{sub_title}, 'SubTitle');
is($meta->{author}, 'Ruru; Jens.Ol; Aglarech; u.a.', 'Author');

ok(!$meta->{doc_title}, 'Correct Doc title');
ok(!$meta->{doc_sub_title}, 'Correct Doc Sub title');
ok(!$meta->{doc_author}, 'Correct Doc author');
ok(!$meta->{doc_editor}, 'Correct Doc editor');

ok(!$meta->{corpus_title}, 'Correct Corpus title');
ok(!$meta->{corpus_sub_title}, 'Correct Corpus Sub title');

# Tokenization
use_ok('KorAP::XML::Tokenizer');

my ($token_base_foundry, $token_base_layer) = (qw/OpenNLP Tokens/);

# Get tokenization
my $tokens = KorAP::XML::Tokenizer->new(
  path => $doc->path,
  doc => $doc,
  foundry => $token_base_foundry,
  layer => $token_base_layer,
  name => 'tokens'
);
ok($tokens, 'Token Object is fine');
ok($tokens->parse, 'Token parsing is fine');

my $output = $tokens->to_data;

is(substr($output->{data}->{text}, 0, 100), 'A bzw. a ist der erste Buchstabe des lateinischen Alphabets und ein Vokal. Der Buchstabe A hat in de', 'Primary Data');
is($output->{data}->{name}, 'tokens', 'tokenName');
is($output->{data}->{tokenSource}, 'opennlp#tokens', 'tokenSource');

is($output->{version}, '0.03', 'version');
is($output->{data}->{foundries}, '', 'Foundries');
is($output->{data}->{layerInfos}, '', 'layerInfos');
is($output->{data}->{stream}->[0]->[4], 's:A', 'data');

$tokens->add('Mate', 'Dependency');

my $stream = $tokens->to_data->{data}->{stream};

# This is not a goot relation example
is($stream->[77]->[0],
   '<:mate/d:--$<b>34<i>498<i>499<i>78<i>78',
   'element to term');
is($stream->[78]->[0], '>:mate/d:--$<b>33<i>498<i>499<i>77<i>78', 'term to element');

$tokens->add('Base', 'Sentences');

$stream = $tokens->to_data->{data}->{stream};

is($stream->[0]->[2], '<>:base/s:s$<b>64<i>0<i>74<i>13<b>2', 'Text starts with sentence');

done_testing;
__END__