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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 <cstdint>
#include <string>
namespace search
{
struct PreRankingInfo
{
PreRankingInfo(Model::Type type, TokenRange const & range)
{
ASSERT_LESS(type, Model::TYPE_COUNT, ());
m_type = type;
m_tokenRange[m_type] = range;
}
TokenRange const & InnermostTokenRange() const
{
ASSERT_LESS(m_type, Model::TYPE_COUNT, ());
return m_tokenRange[m_type];
}
size_t GetNumTokens() const { return InnermostTokenRange().Size(); }
// An abstract distance from the feature to the pivot. Measurement
// units do not matter here.
double m_distanceToPivot = 0;
m2::PointD m_center = m2::PointD::Zero();
bool m_centerLoaded = false;
// Tokens match to the feature name or house number.
TokenRange m_tokenRange[Model::TYPE_COUNT];
// 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;
// True iff all tokens that are not stop-words
// were used when retrieving the feature.
bool m_allTokensUsed = true;
// 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;
};
std::string DebugPrint(PreRankingInfo const & info);
} // namespace search
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