blob: ff12cd0f1dd6f2da9ca22f42a79429d35b06d577 [file] [log] [blame]
// Copyright 2013 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "ash/public/cpp/app_list/tokenized_string_match.h"
#include <stddef.h>
#include <string>
#include "base/stl_util.h"
#include "base/strings/utf_string_conversions.h"
#include "testing/gtest/include/gtest/gtest.h"
namespace app_list {
namespace test {
// Returns a string of |text| marked the hits in |match| using block bracket.
// e.g. text= "Text", match.hits = [{0,1}], returns "[T]ext".
std::string MatchHit(const base::string16& text,
const TokenizedStringMatch& match) {
base::string16 marked = text;
const TokenizedStringMatch::Hits& hits = match.hits();
for (TokenizedStringMatch::Hits::const_reverse_iterator it = hits.rbegin();
it != hits.rend(); ++it) {
const gfx::Range& hit = *it;
marked.insert(hit.end(), 1, ']');
marked.insert(hit.start(), 1, '[');
}
return base::UTF16ToUTF8(marked);
}
TEST(TokenizedStringMatchTest, NotMatch) {
struct {
const char* text;
const char* query;
} kTestCases[] = {
{"", ""}, {"", "query"},
{"text", ""}, {"!", "!@#$%^&*()<<<**>>>"},
{"abd", "abcd"}, {"cd", "abcd"},
};
TokenizedStringMatch match;
for (size_t i = 0; i < base::size(kTestCases); ++i) {
const base::string16 text(base::UTF8ToUTF16(kTestCases[i].text));
EXPECT_FALSE(match.Calculate(base::UTF8ToUTF16(kTestCases[i].query), text))
<< "Test case " << i << " : text=" << kTestCases[i].text
<< ", query=" << kTestCases[i].query;
}
}
TEST(TokenizedStringMatchTest, Match) {
struct {
const char* text;
const char* query;
const char* expect;
} kTestCases[] = {
{"ScratchPad", "pad", "Scratch[Pad]"},
{"ScratchPad", "sp", "[S]cratch[P]ad"},
{"Chess2", "che", "[Che]ss2"},
{"Chess2", "c2", "[C]hess[2]"},
{"Cut the rope", "cut ro", "[Cut] the [ro]pe"},
{"Cut the rope", "cr", "[C]ut the [r]ope"},
{"John Doe", "jdoe", "[J]ohn [Doe]"},
{"John Doe", "johnd", "[John D]oe"},
{"Secure Shell", "she", "Secure [She]ll"},
{"Simple Secure Shell", "sish", "[Si]mple Secure [Sh]ell"},
{"Netflix", "flix", "Net[flix]"},
};
TokenizedStringMatch match;
for (size_t i = 0; i < base::size(kTestCases); ++i) {
const base::string16 text(base::UTF8ToUTF16(kTestCases[i].text));
EXPECT_TRUE(match.Calculate(base::UTF8ToUTF16(kTestCases[i].query), text));
EXPECT_EQ(kTestCases[i].expect, MatchHit(text, match));
}
}
TEST(TokenizedStringMatchTest, Relevance) {
struct {
const char* text;
const char* query_low;
const char* query_high;
} kTestCases[] = {
// More matched chars are better.
{"Google Chrome", "g", "go"},
{"Google Chrome", "go", "goo"},
{"Google Chrome", "goo", "goog"},
{"Google Chrome", "c", "ch"},
{"Google Chrome", "ch", "chr"},
// Acronym match is better than something in the middle.
{"Google Chrome", "ch", "gc"},
// Prefix match is better than middle match and acronym match.
{"Google Chrome", "ch", "go"},
{"Google Chrome", "gc", "go"},
// Substring match has the lowest score.
{"Google Chrome", "oo", "gc"},
{"Google Chrome", "oo", "go"},
{"Google Chrome", "oo", "ch"},
};
TokenizedStringMatch match_low;
TokenizedStringMatch match_high;
for (size_t i = 0; i < base::size(kTestCases); ++i) {
const base::string16 text(base::UTF8ToUTF16(kTestCases[i].text));
EXPECT_TRUE(
match_low.Calculate(base::UTF8ToUTF16(kTestCases[i].query_low), text));
EXPECT_TRUE(match_high.Calculate(
base::UTF8ToUTF16(kTestCases[i].query_high), text));
EXPECT_LT(match_low.relevance(), match_high.relevance())
<< "Test case " << i << " : text=" << kTestCases[i].text
<< ", query_low=" << kTestCases[i].query_low
<< ", query_high=" << kTestCases[i].query_high;
}
}
// More specialized tests of the absolute relevance scores. (These tests are
// minimal, because they are so brittle. Changing the scoring algorithm will
// require updating this test.)
TEST(TokenizedStringMatchTest, AbsoluteRelevance) {
const double kEpsilon = 0.006;
struct {
const char* text;
const char* query;
double expected_score;
} kTestCases[] = {
// The first few chars should increase the score extremely high. After
// that, they should count less.
// NOTE: 0.87 is a magic number, as it is the Omnibox score for a "pretty
// good" match. We want a 3-letter prefix match to be slightly above 0.87.
{"Google Chrome", "g", 0.5},
{"Google Chrome", "go", 0.75},
{"Google Chrome", "goo", 0.88},
{"Google Chrome", "goog", 0.94},
};
TokenizedStringMatch match;
for (size_t i = 0; i < base::size(kTestCases); ++i) {
const base::string16 text(base::UTF8ToUTF16(kTestCases[i].text));
EXPECT_TRUE(match.Calculate(base::UTF8ToUTF16(kTestCases[i].query), text));
EXPECT_NEAR(match.relevance(), kTestCases[i].expected_score, kEpsilon)
<< "Test case " << i << " : text=" << kTestCases[i].text
<< ", query=" << kTestCases[i].query
<< ", expected_score=" << kTestCases[i].expected_score;
}
}
} // namespace test
} // namespace app_list