Add a minor text member to ui::MenuModel.
[chromium-blink-merge.git] / chrome / browser / ui / app_list / search / tokenized_string_match.cc
blob2dd57d825c592259f86403e8b8c096552eaf216f
1 // Copyright 2013 The Chromium Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style license that can be
3 // found in the LICENSE file.
5 #include "chrome/browser/ui/app_list/search/tokenized_string_match.h"
7 #include "chrome/browser/ui/app_list/search/tokenized_string_char_iterator.h"
9 namespace app_list {
11 namespace {
13 // The factors below are applied when the current char of query matches
14 // the current char of the text to be matched. Different factors are chosen
15 // based on where the match happens. kIsPrefixMultiplier is used when the
16 // matched portion is a prefix of both the query and the text, which implies
17 // that the matched chars are at the same position in query and text. This is
18 // the most preferred case thus it has the highest score. When the current char
19 // of the query and the text does not match, the algorithm moves to the next
20 // token in the text and try to match from there. kIsFrontOfWordMultipler will
21 // be used if the first char of the token matches the current char of the query.
22 // Otherwise, the match is considered as weak and kIsWeakHitMultiplier is
23 // used.
24 // Examples:
25 // Suppose the text to be matched is 'Google Chrome'.
26 // Query 'go' would yield kIsPrefixMultiplier for each char.
27 // Query 'gc' would use kIsPrefixMultiplier for 'g' and
28 // kIsFrontOfWordMultipler for 'c'.
29 // Query 'ch' would use kIsFrontOfWordMultipler for 'c' and
30 // kIsWeakHitMultiplier for 'h'.
31 const double kIsPrefixMultiplier = 1.0;
32 const double kIsFrontOfWordMultipler = 0.8;
33 const double kIsWeakHitMultiplier = 0.6;
35 // A relevance score that represents no match.
36 const double kNoMatchScore = 0.0;
38 } // namespace
40 TokenizedStringMatch::TokenizedStringMatch()
41 : relevance_(kNoMatchScore) {}
43 TokenizedStringMatch::~TokenizedStringMatch() {}
45 bool TokenizedStringMatch::Calculate(const TokenizedString& query,
46 const TokenizedString& text) {
47 relevance_ = kNoMatchScore;
48 hits_.clear();
50 ui::Range hit = ui::Range::InvalidRange();
52 TokenizedStringCharIterator query_iter(query);
53 TokenizedStringCharIterator text_iter(text);
55 while (!query_iter.end() && !text_iter.end()) {
56 if (query_iter.Get() == text_iter.Get()) {
57 if (query_iter.GetArrayPos() == text_iter.GetArrayPos())
58 relevance_ += kIsPrefixMultiplier;
59 else if (text_iter.IsFirstCharOfToken())
60 relevance_ += kIsFrontOfWordMultipler;
61 else
62 relevance_ += kIsWeakHitMultiplier;
64 if (!hit.IsValid())
65 hit.set_start(text_iter.GetArrayPos());
66 hit.set_end(text_iter.GetArrayPos() + text_iter.GetCharSize());
68 query_iter.NextChar();
69 text_iter.NextChar();
70 } else {
71 if (hit.IsValid()) {
72 hits_.push_back(hit);
73 hit = ui::Range::InvalidRange();
76 text_iter.NextToken();
80 // No match if query is not fully consumed.
81 if (!query_iter.end()) {
82 relevance_ = kNoMatchScore;
83 hits_.clear();
84 return false;
87 if (hit.IsValid())
88 hits_.push_back(hit);
90 // Using length() for normalizing is not 100% correct but should be good
91 // enough compared with using real char count of the text.
92 if (text.text().length())
93 relevance_ /= text.text().length();
95 return relevance_ > kNoMatchScore;
98 bool TokenizedStringMatch::Calculate(const string16& query,
99 const string16& text) {
100 const TokenizedString tokenized_query(query);
101 const TokenizedString tokenized_text(text);
102 return Calculate(tokenized_query, tokenized_text);
105 } // namespace app_list