+5 -5

api.go

Reviewed

··· 946 946 // will be used. This option is temporary and is only exposed for testing/ tuning purposes. 947 947 DocumentRanksWeight float64 948 948 949 949 - // EXPERIMENTAL. If true, use keyword-style scoring instead of the default scoring formula. 950 950 - // Currently, this treats each match in a file as a term and computes an approximation to BM25. 951 951 - // When enabled, all other scoring signals are ignored, including document ranks. 952 952 - UseKeywordScoring bool 949 949 + // EXPERIMENTAL. If true, use text-search style scoring instead of the default scoring formula. 950 950 + // The scoring algorithm treats each match in a file as a term and computes an approximation to 951 951 + // BM25. When enabled, all other scoring signals are ignored, including document ranks. 952 952 + UseBM25Scoring bool 953 953 954 954 // Trace turns on opentracing for this request if true and if the Jaeger address was provided as 955 955 // a command-line flag ··· 1015 1015 addBool("Whole", s.Whole) 1016 1016 addBool("ChunkMatches", s.ChunkMatches) 1017 1017 addBool("UseDocumentRanks", s.UseDocumentRanks) 1018 1018 - addBool("UseKeywordScoring", s.UseKeywordScoring) 1018 1018 + addBool("UseBM25Scoring", s.UseBM25Scoring) 1019 1019 addBool("Trace", s.Trace) 1020 1020 addBool("DebugScore", s.DebugScore) 1021 1021

+2 -2

api_proto.go

Reviewed

··· 700 700 DocumentRanksWeight: p.GetDocumentRanksWeight(), 701 701 Trace: p.GetTrace(), 702 702 DebugScore: p.GetDebugScore(), 703 703 - UseKeywordScoring: p.GetUseKeywordScoring(), 703 703 + UseBM25Scoring: p.GetUseBm25Scoring(), 704 704 } 705 705 } 706 706 ··· 725 725 DocumentRanksWeight: s.DocumentRanksWeight, 726 726 Trace: s.Trace, 727 727 DebugScore: s.DebugScore, 728 728 - UseKeywordScoring: s.UseKeywordScoring, 728 728 + UseBm25Scoring: s.UseBM25Scoring, 729 729 } 730 730 }

+8 -8

build/scoring_test.go

Reviewed

··· 77 77 query: &query.Substring{Pattern: "example"}, 78 78 content: exampleJava, 79 79 language: "Java", 80 80 - // keyword-score:1.69 (sum-tf: 7.00, length-ratio: 2.00) 80 80 + // bm25-score:1.69 (sum-tf: 7.00, length-ratio: 2.00) 81 81 wantScore: 1.69, 82 82 }, { 83 83 // Matches only on content ··· 89 89 }}, 90 90 content: exampleJava, 91 91 language: "Java", 92 92 - // keyword-score:5.75 (sum-tf: 56.00, length-ratio: 2.00) 92 92 + // bm25-score:5.75 (sum-tf: 56.00, length-ratio: 2.00) 93 93 wantScore: 5.75, 94 94 }, 95 95 { ··· 98 98 query: &query.Substring{Pattern: "java"}, 99 99 content: exampleJava, 100 100 language: "Java", 101 101 - // keyword-score:1.07 (sum-tf: 2.00, length-ratio: 2.00) 101 101 + // bm25-score:1.07 (sum-tf: 2.00, length-ratio: 2.00) 102 102 wantScore: 1.07, 103 103 }, 104 104 { ··· 106 106 fileName: "a/b/c/config.go", 107 107 query: &query.Substring{Pattern: "config.go"}, 108 108 language: "Go", 109 109 - // keyword-score:1.91 (sum-tf: 2.00, length-ratio: 0.00) 109 109 + // bm25-score:1.91 (sum-tf: 2.00, length-ratio: 0.00) 110 110 wantScore: 1.91, 111 111 }, 112 112 } ··· 584 584 } 585 585 } 586 586 587 587 - func checkScoring(t *testing.T, c scoreCase, keywordScoring bool, parserType ctags.CTagsParserType) { 587 587 + func checkScoring(t *testing.T, c scoreCase, useBM25 bool, parserType ctags.CTagsParserType) { 588 588 skipIfCTagsUnavailable(t, parserType) 589 589 590 590 name := c.language ··· 625 625 defer ss.Close() 626 626 627 627 srs, err := ss.Search(context.Background(), c.query, &zoekt.SearchOptions{ 628 628 - UseKeywordScoring: keywordScoring, 629 629 - ChunkMatches: true, 630 630 - DebugScore: true}) 628 628 + UseBM25Scoring: useBM25, 629 629 + ChunkMatches: true, 630 630 + DebugScore: true}) 631 631 if err != nil { 632 632 t.Fatal(err) 633 633 }

+1 -1

eval.go

Reviewed

··· 317 317 fileMatch.LineMatches = cp.fillMatches(finalCands, opts.NumContextLines, fileMatch.Language, opts.DebugScore) 318 318 } 319 319 320 320 - if opts.UseKeywordScoring { 320 320 + if opts.UseBM25Scoring { 321 321 d.scoreFileUsingBM25(&fileMatch, nextDoc, finalCands, opts) 322 322 } else { 323 323 // Use the standard, non-experimental scoring method by default

+382 -383

grpc/protos/zoekt/webserver/v1/webserver.pb.go

Reviewed

··· 388 388 Trace bool `protobuf:"varint,13,opt,name=trace,proto3" json:"trace,omitempty"` 389 389 // If set, the search results will contain debug information for scoring. 390 390 DebugScore bool `protobuf:"varint,14,opt,name=debug_score,json=debugScore,proto3" json:"debug_score,omitempty"` 391 391 - // EXPERIMENTAL. If true, use keyword-style scoring instead of the default scoring formula. 391 391 + // EXPERIMENTAL. If true, use text search scoring instead of the default scoring formula. 392 392 // Currently, this treats each match in a file as a term and computes an approximation to BM25. 393 393 // When enabled, all other scoring signals are ignored, including document ranks. 394 394 - UseKeywordScoring bool `protobuf:"varint,15,opt,name=use_keyword_scoring,json=useKeywordScoring,proto3" json:"use_keyword_scoring,omitempty"` 394 394 + UseBm25Scoring bool `protobuf:"varint,15,opt,name=use_bm25_scoring,json=useBm25Scoring,proto3" json:"use_bm25_scoring,omitempty"` 395 395 } 396 396 397 397 func (x *SearchOptions) Reset() { ··· 531 531 return false 532 532 } 533 533 534 534 - func (x *SearchOptions) GetUseKeywordScoring() bool { 534 534 + func (x *SearchOptions) GetUseBm25Scoring() bool { 535 535 if x != nil { 536 536 - return x.UseKeywordScoring 536 536 + return x.UseBm25Scoring 537 537 } 538 538 return false 539 539 } ··· 2337 2337 0x28, 0x0b, 0x32, 0x22, 0x2e, 0x7a, 0x6f, 0x65, 0x6b, 0x74, 0x2e, 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+2 -2

grpc/protos/zoekt/webserver/v1/webserver.proto

Reviewed

··· 107 107 // If set, the search results will contain debug information for scoring. 108 108 bool debug_score = 14; 109 109 110 110 - // EXPERIMENTAL. If true, use keyword-style scoring instead of the default scoring formula. 110 110 + // EXPERIMENTAL. If true, use text search scoring instead of the default scoring formula. 111 111 // Currently, this treats each match in a file as a term and computes an approximation to BM25. 112 112 // When enabled, all other scoring signals are ignored, including document ranks. 113 113 - bool use_keyword_scoring = 15; 113 113 + bool use_bm25_scoring = 15; 114 114 } 115 115 116 116 message ListRequest {

+4 -4

score.go

Reviewed

··· 39 39 m.Score += computed 40 40 } 41 41 42 42 - func (m *FileMatch) addKeywordScore(score float64, sumTf float64, L float64, debugScore bool) { 42 42 + func (m *FileMatch) addBM25Score(score float64, sumTf float64, L float64, debugScore bool) { 43 43 if debugScore { 44 44 - m.Debug += fmt.Sprintf("keyword-score:%.2f (sum-tf: %.2f, length-ratio: %.2f)", score, sumTf, L) 44 44 + m.Debug += fmt.Sprintf("bm25-score:%.2f (sum-tf: %.2f, length-ratio: %.2f)", score, sumTf, L) 45 45 } 46 46 m.Score += score 47 47 } ··· 116 116 } 117 117 118 118 // scoreFileUsingBM25 computes a score for the file match using an approximation to BM25, the most common scoring 119 119 - // algorithm for keyword search: https://en.wikipedia.org/wiki/Okapi_BM25. It implements all parts of the formula 119 119 + // algorithm for text search: https://en.wikipedia.org/wiki/Okapi_BM25. It implements all parts of the formula 120 120 // except inverse document frequency (idf), since we don't have access to global term frequency statistics. 121 121 // 122 122 // Filename matches count twice as much as content matches. This mimics a common text search strategy where you ··· 160 160 score += ((k + 1.0) * tf) / (k*(1.0-b+b*L) + tf) 161 161 } 162 162 163 163 - fileMatch.addKeywordScore(score, sumTf, L, opts.DebugScore) 163 163 + fileMatch.addBM25Score(score, sumTf, L, opts.DebugScore) 164 164 }

+2 -2

shards/shards_test.go

Reviewed

··· 1087 1087 } 1088 1088 } 1089 1089 1090 1090 - func TestUseKeywordScoring(t *testing.T) { 1090 1090 + func TestUseBM25Scoring(t *testing.T) { 1091 1091 b := testIndexBuilder(t, 1092 1092 &zoekt.Repository{}, 1093 1093 zoekt.Document{Name: "f1", Content: []byte("one two two three")}, ··· 1103 1103 &query.Substring{Pattern: "three"}) 1104 1104 1105 1105 opts := zoekt.SearchOptions{ 1106 1106 - UseKeywordScoring: true, 1106 1106 + UseBM25Scoring: true, 1107 1107 } 1108 1108 1109 1109 results, err := ss.Search(context.Background(), q, &opts)