Repo created

libs/search/pre_ranking_info.hpp

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+#pragma once
+
+#include "search/intersection_result.hpp"
+#include "search/model.hpp"
+#include "search/token_range.hpp"
+
+#include "indexer/feature_decl.hpp"
+
+#include "geometry/point2d.hpp"
+
+#include "base/assert.hpp"
+
+#include <array>
+#include <string>
+
+namespace search
+{
+struct PreRankingInfo
+{
+  PreRankingInfo(Model::Type type, TokenRange const & range)
+    : m_allTokensUsed(true)
+    , m_exactMatch(true)
+    , m_centerLoaded(false)
+    , m_isCommonMatchOnly(false)
+  {
+    ASSERT_LESS(type, Model::TYPE_COUNT, ());
+    m_type = type;
+    m_tokenRanges[m_type] = range;
+  }
+
+  TokenRange const & InnermostTokenRange() const
+  {
+    ASSERT_LESS(m_type, Model::TYPE_COUNT, ());
+    return m_tokenRanges[m_type];
+  }
+
+  m2::PointD m_center{0, 0};
+
+  // An abstract distance from the feature to the pivot.  Measurement
+  // units do not matter here.
+  double m_distanceToPivot = 0;
+
+  // Matched parts of the query.
+  std::array<TokenRange, Model::TYPE_COUNT> m_tokenRanges;
+
+  // Different geo-parts extracted from query.  Currently only poi,
+  // building and street ids are in |m_geoParts|.
+  IntersectionResult m_geoParts;
+
+  // Id of the matched city, if any.
+  FeatureID m_cityId;
+
+  // Rank of the feature.
+  uint8_t m_rank = 0;
+
+  // Popularity rank of the feature.
+  uint8_t m_popularity = 0;
+
+  // Search type for the feature.
+  Model::Type m_type = Model::TYPE_COUNT;
+
+  // True iff all tokens that are not stop-words were used when retrieving the feature.
+  bool m_allTokensUsed : 1;
+
+  // True iff all tokens retrieved from search index were matched without misprints.
+  bool m_exactMatch : 1;
+
+  // Is m_center valid.
+  bool m_centerLoaded : 1;
+
+  // Result is matched by "common" tokens only, see QuaryParams::IsCommonToken. Low-scored if true.
+  bool m_isCommonMatchOnly : 1;
+};
+
+std::string DebugPrint(PreRankingInfo const & info);
+}  // namespace search