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Fixed spanish accents normalization (#1957)
Normalization of accented letters only happens if the input is larger than 5 characters, something that, for example, neither `guía` nor `fría` comply. The solution would be to always execute the accented characters normalization, by moving it to a separate file just like it is done in the german analyzer. Fixes: #1956
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// Copyright (c) 2017 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. | ||
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package es | ||
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import ( | ||
"bytes" | ||
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"github.com/blevesearch/bleve/v2/analysis" | ||
"github.com/blevesearch/bleve/v2/registry" | ||
) | ||
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const NormalizeName = "normalize_es" | ||
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type SpanishNormalizeFilter struct { | ||
} | ||
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func NewSpanishNormalizeFilter() *SpanishNormalizeFilter { | ||
return &SpanishNormalizeFilter{} | ||
} | ||
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func (s *SpanishNormalizeFilter) Filter(input analysis.TokenStream) analysis.TokenStream { | ||
for _, token := range input { | ||
term := normalize(token.Term) | ||
token.Term = term | ||
} | ||
return input | ||
} | ||
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func normalize(input []byte) []byte { | ||
runes := bytes.Runes(input) | ||
for i := 0; i < len(runes); i++ { | ||
switch runes[i] { | ||
case 'à', 'á', 'â', 'ä': | ||
runes[i] = 'a' | ||
case 'ò', 'ó', 'ô', 'ö': | ||
runes[i] = 'o' | ||
case 'è', 'é', 'ê', 'ë': | ||
runes[i] = 'e' | ||
case 'ù', 'ú', 'û', 'ü': | ||
runes[i] = 'u' | ||
case 'ì', 'í', 'î', 'ï': | ||
runes[i] = 'i' | ||
} | ||
} | ||
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return analysis.BuildTermFromRunes(runes) | ||
} | ||
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func NormalizerFilterConstructor(config map[string]interface{}, cache *registry.Cache) (analysis.TokenFilter, error) { | ||
return NewSpanishNormalizeFilter(), nil | ||
} | ||
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func init() { | ||
registry.RegisterTokenFilter(NormalizeName, NormalizerFilterConstructor) | ||
} |
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// Copyright (c) 2017 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. | ||
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package es | ||
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import ( | ||
"reflect" | ||
"testing" | ||
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"github.com/blevesearch/bleve/v2/analysis" | ||
) | ||
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func TestSpanishNormalizeFilter(t *testing.T) { | ||
tests := []struct { | ||
input analysis.TokenStream | ||
output analysis.TokenStream | ||
}{ | ||
{ | ||
input: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("Guía"), | ||
}, | ||
}, | ||
output: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("Guia"), | ||
}, | ||
}, | ||
}, | ||
{ | ||
input: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("Belcebú"), | ||
}, | ||
}, | ||
output: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("Belcebu"), | ||
}, | ||
}, | ||
}, | ||
{ | ||
input: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("Limón"), | ||
}, | ||
}, | ||
output: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("Limon"), | ||
}, | ||
}, | ||
}, | ||
{ | ||
input: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("agüero"), | ||
}, | ||
}, | ||
output: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("aguero"), | ||
}, | ||
}, | ||
}, | ||
{ | ||
input: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("laúd"), | ||
}, | ||
}, | ||
output: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte("laud"), | ||
}, | ||
}, | ||
}, | ||
// empty | ||
{ | ||
input: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte(""), | ||
}, | ||
}, | ||
output: analysis.TokenStream{ | ||
&analysis.Token{ | ||
Term: []byte(""), | ||
}, | ||
}, | ||
}, | ||
} | ||
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spanishNormalizeFilter := NewSpanishNormalizeFilter() | ||
for _, test := range tests { | ||
actual := spanishNormalizeFilter.Filter(test.input) | ||
if !reflect.DeepEqual(actual, test.output) { | ||
t.Errorf("expected %#v, got %#v", test.output, actual) | ||
t.Errorf("expected %s(% x), got %s(% x)", test.output[0].Term, test.output[0].Term, actual[0].Term, actual[0].Term) | ||
} | ||
} | ||
} |