Componentize ScoredHistoryMatch

chrome/browser/history/url_index_private_data.cc

 // Copyright (c) 2012 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 "chrome/browser/history/url_index_private_data.h"
 
 #include <functional>
 #include <iterator>
 #include <limits>
 #include <numeric>
@@ skipping 133 matching lines @@
       pre_filter_item_count_(0),
       post_filter_item_count_(0),
       post_scoring_item_count_(0) {
 }
 
 ScoredHistoryMatches URLIndexPrivateData::HistoryItemsForTerms(
     base::string16 search_string,
     size_t cursor_position,
     size_t max_matches,
     const std::string& languages,
-    HistoryClient* history_client) {
+    const ScoredHistoryMatchClient* scored_history_match_client) {
   // If cursor position is set and useful (not at either end of the
   // string), allow the search string to be broken at cursor position.
   // We do this by pretending there's a space where the cursor is.
   if ((cursor_position != base::string16::npos) &&
       (cursor_position < search_string.length()) &&
       (cursor_position > 0)) {
     search_string.insert(cursor_position, base::ASCIIToUTF16(" "));
   }
   pre_filter_item_count_ = 0;
   post_filter_item_count_ = 0;
@@ skipping 70 matching lines @@
                &lower_raw_terms) == 0) {
     // Don't score matches when there are no terms to score against.  (It's
     // possible that the word break iterater that extracts words to search
     // for in the database allows some whitespace "words" whereas Tokenize
     // excludes a long list of whitespace.)  One could write a scoring
     // function that gives a reasonable order to matches when there
     // are no terms (i.e., all the words are some form of whitespace),
     // but this is such a rare edge case that it's not worth the time.
     return scored_items;
   }
-  scored_items = std::for_each(history_id_set.begin(), history_id_set.end(),
-      AddHistoryMatch(*this, languages, history_client, lower_raw_string,
-                      lower_raw_terms, base::Time::Now())).ScoredMatches();
+  scored_items =
+      std::for_each(
+          history_id_set.begin(), history_id_set.end(),
+          AddHistoryMatch(*this, languages, scored_history_match_client,
+                          lower_raw_string, lower_raw_terms, base::Time::Now()))
+          .ScoredMatches();
 
   // Select and sort only the top |max_matches| results.
   if (scored_items.size() > max_matches) {
     std::partial_sort(scored_items.begin(),
                       scored_items.begin() +
                           max_matches,
                       scored_items.end(),
                       ScoredHistoryMatch::MatchScoreGreater);
       scored_items.resize(max_matches);
   } else {
@@ skipping 1001 matching lines @@
     : used_(true) {}
 
 URLIndexPrivateData::SearchTermCacheItem::~SearchTermCacheItem() {}
 
 
 // URLIndexPrivateData::AddHistoryMatch ----------------------------------------
 
 URLIndexPrivateData::AddHistoryMatch::AddHistoryMatch(
     const URLIndexPrivateData& private_data,
     const std::string& languages,
-    HistoryClient* history_client,
+    const ScoredHistoryMatchClient* scored_history_match_client,
     const base::string16& lower_string,
     const String16Vector& lower_terms,
     const base::Time now)
     : private_data_(private_data),
       languages_(languages),
-      history_client_(history_client),
+      scored_history_match_client_(scored_history_match_client),
       lower_string_(lower_string),
       lower_terms_(lower_terms),
       now_(now) {
   // Calculate offsets for each term.  For instance, the offset for
   // ".net" should be 1, indicating that the actual word-part of the term
   // starts at offset 1.
   lower_terms_to_word_starts_offsets_.resize(lower_terms_.size(), 0u);
   for (size_t i = 0; i < lower_terms_.size(); ++i) {
     base::i18n::BreakIterator iter(lower_terms_[i],
                                    base::i18n::BreakIterator::BREAK_WORD);
@@ skipping 15 matching lines @@
   HistoryInfoMap::const_iterator hist_pos =
       private_data_.history_info_map_.find(history_id);
   if (hist_pos != private_data_.history_info_map_.end()) {
     const URLRow& hist_item = hist_pos->second.url_row;
     const VisitInfoVector& visits = hist_pos->second.visits;
     WordStartsMap::const_iterator starts_pos =
         private_data_.word_starts_map_.find(history_id);
     DCHECK(starts_pos != private_data_.word_starts_map_.end());
     ScoredHistoryMatch match(hist_item, visits, languages_, lower_string_,
                              lower_terms_, lower_terms_to_word_starts_offsets_,
-                             starts_pos->second, now_, history_client_);
+                             starts_pos->second, now_,
+                             scored_history_match_client_);
     if (match.raw_score() > 0)
       scored_matches_.push_back(match);
   }
 }
 
 
 // URLIndexPrivateData::HistoryItemFactorGreater -------------------------------
 
 URLIndexPrivateData::HistoryItemFactorGreater::HistoryItemFactorGreater(
     const HistoryInfoMap& history_info_map)
@@ skipping 18 matching lines @@
   // recently visited (within the last 12/24 hours) as highly important. Get
   // input from mpearson.
   if (r1.typed_count() != r2.typed_count())
     return (r1.typed_count() > r2.typed_count());
   if (r1.visit_count() != r2.visit_count())
     return (r1.visit_count() > r2.visit_count());
   return (r1.last_visit() > r2.last_visit());
 }
 
 }  // namespace history