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bleve/analysis/language/ckb/sorani_stemmer_filter_test.go
Marty Schoch c526a38369 major refactor of analysis files, now wired up to registry
ultimately this is make it more convenient for us to wire up
different elements of the analysis pipeline, without having to
preload everything into memory before we need it

separately the index layer now has a mechanism for storing
internal key/value pairs.  this is expected to be used to
store the mapping, and possibly other pieces of data by the
top layer, but not exposed to the user at the top.
2014-08-13 21:14:47 -04:00

294 lines
6.1 KiB
Go

// Copyright (c) 2014 Couchbase, Inc.
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file
// except in compliance with the License. You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software distributed under the
// License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
// either express or implied. See the License for the specific language governing permissions
// and limitations under the License.
package ckb
import (
"reflect"
"testing"
"github.com/couchbaselabs/bleve/analysis"
"github.com/couchbaselabs/bleve/analysis/tokenizers/single_token"
)
func TestSoraniStemmerFilter(t *testing.T) {
// in order to match the lucene tests
// we will test with an analyzer, not just the stemmer
analyzer := analysis.Analyzer{
Tokenizer: single_token.NewSingleTokenTokenizer(),
TokenFilters: []analysis.TokenFilter{
NewSoraniNormalizeFilter(),
NewSoraniStemmerFilter(),
},
}
tests := []struct {
input []byte
output analysis.TokenStream
}{
{ // -ek
input: []byte("پیاوێک"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پیاو"),
Position: 1,
Start: 0,
End: 12,
},
},
},
{ // -yek
input: []byte("دەرگایەک"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("دەرگا"),
Position: 1,
Start: 0,
End: 16,
},
},
},
{ // -aka
input: []byte("پیاوەكە"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پیاو"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // -ka
input: []byte("دەرگاكە"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("دەرگا"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // -a
input: []byte("کتاویە"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("کتاوی"),
Position: 1,
Start: 0,
End: 12,
},
},
},
{ // -ya
input: []byte("دەرگایە"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("دەرگا"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // -An
input: []byte("پیاوان"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پیاو"),
Position: 1,
Start: 0,
End: 12,
},
},
},
{ // -yAn
input: []byte("دەرگایان"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("دەرگا"),
Position: 1,
Start: 0,
End: 16,
},
},
},
{ // -akAn
input: []byte("پیاوەکان"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پیاو"),
Position: 1,
Start: 0,
End: 16,
},
},
},
{ // -kAn
input: []byte("دەرگاکان"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("دەرگا"),
Position: 1,
Start: 0,
End: 16,
},
},
},
{ // -Ana
input: []byte("پیاوانە"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پیاو"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // -yAna
input: []byte("دەرگایانە"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("دەرگا"),
Position: 1,
Start: 0,
End: 18,
},
},
},
{ // Ezafe singular
input: []byte("هۆتیلی"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("هۆتیل"),
Position: 1,
Start: 0,
End: 12,
},
},
},
{ // Ezafe indefinite
input: []byte("هۆتیلێکی"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("هۆتیل"),
Position: 1,
Start: 0,
End: 16,
},
},
},
{ // Ezafe plural
input: []byte("هۆتیلانی"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("هۆتیل"),
Position: 1,
Start: 0,
End: 16,
},
},
},
{ // -awa
input: []byte("دوورەوە"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("دوور"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // -dA
input: []byte("نیوەشەودا"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("نیوەشەو"),
Position: 1,
Start: 0,
End: 18,
},
},
},
{ // -A
input: []byte("سۆرانا"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("سۆران"),
Position: 1,
Start: 0,
End: 12,
},
},
},
{ // -mAn
input: []byte("پارەمان"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پارە"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // -tAn
input: []byte("پارەتان"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پارە"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // -yAn
input: []byte("پارەیان"),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte("پارە"),
Position: 1,
Start: 0,
End: 14,
},
},
},
{ // empty
input: []byte(""),
output: analysis.TokenStream{
&analysis.Token{
Term: []byte(""),
Position: 1,
Start: 0,
End: 0,
},
},
},
}
for _, test := range tests {
actual := analyzer.Analyze(test.input)
if !reflect.DeepEqual(actual, test.output) {
t.Errorf("for input %s(% x)", test.input, test.input)
t.Errorf("\texpected:")
for _, token := range test.output {
t.Errorf("\t\t%v %s(% x)", token, token.Term, token.Term)
}
t.Errorf("\tactual:")
for _, token := range actual {
t.Errorf("\t\t%v %s(% x)", token, token.Term, token.Term)
}
}
}
}