| 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->[77]->[1], '<>:mate/d:&&&$<b>64<i>498<i>499<i>78<b>0<s>1', 'element to term'); |
| is($stream->[78]->[0], '>:mate/d:--$<b>33<i>498<i>499<i>77<i>78', 'term to element'); |
| # is($stream->[78]->[3], 'mate/d:&&&$<b>128<s>1', 'Node'); |
| |
| |
| done_testing; |
| __END__ |
| |
| |
| |
| |