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gitea/modules/indexer/internal/bleve/util_test.go
Bruno Sofiato f64fbd9b74
Updated tokenizer to better matching when search for code snippets (#32261)
This PR improves the accuracy of Gitea's code search. 

Currently, Gitea does not consider statements such as
`onsole.log("hello")` as hits when the user searches for `log`. The
culprit is how both ES and Bleve are tokenizing the file contents (in
both cases, `console.log` is a whole token).

In ES' case, we changed the tokenizer to
[simple_pattern_split](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-simplepatternsplit-tokenizer.html#:~:text=The%20simple_pattern_split%20tokenizer%20uses%20a,the%20tokenization%20is%20generally%20faster.).
In such a case, tokens are words formed by digits and letters. In
Bleve's case, it employs a
[letter](https://blevesearch.com/docs/Tokenizers/) tokenizer.

Resolves #32220

---------

Signed-off-by: Bruno Sofiato <bruno.sofiato@gmail.com>
2024-11-06 20:51:20 +00:00

54 lines
976 B
Go

// Copyright 2024 The Gitea Authors. All rights reserved.
// SPDX-License-Identifier: MIT
package bleve
import (
"fmt"
"testing"
"github.com/stretchr/testify/assert"
)
func TestBleveGuessFuzzinessByKeyword(t *testing.T) {
scenarios := []struct {
Input string
Fuzziness int // See util.go for the definition of fuzziness in this particular context
}{
{
Input: "",
Fuzziness: 0,
},
{
Input: "Avocado",
Fuzziness: 1,
},
{
Input: "Geschwindigkeit",
Fuzziness: 2,
},
{
Input: "non-exist",
Fuzziness: 0,
},
{
Input: "갃갃갃",
Fuzziness: 0,
},
{
Input: "repo1",
Fuzziness: 0,
},
{
Input: "avocado.md",
Fuzziness: 0,
},
}
for _, scenario := range scenarios {
t.Run(fmt.Sprintf("ensure fuzziness of '%s' is '%d'", scenario.Input, scenario.Fuzziness), func(t *testing.T) {
assert.Equal(t, scenario.Fuzziness, GuessFuzzinessByKeyword(scenario.Input))
})
}
}