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56 lines
1.6 KiB
C++
56 lines
1.6 KiB
C++
#pragma once
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#include "search/cbv.hpp"
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#include "search/geocoder_context.hpp"
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#include "search/token_range.hpp"
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#include <vector>
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namespace search
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{
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class FeaturesFilter;
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class QueryParams;
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class StreetsMatcher
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{
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public:
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struct Prediction
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{
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size_t GetNumTokens() const { return m_tokenRange.Size(); }
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// Tokens and misprints are better signals than probability here. For example in BA
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// searching for "French 1700", gives 100% probabilty 'street' "Peatonal Juramento 1700".
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bool SameForRelaxedMatch(Prediction const & rhs) const
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{
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return (m_withMisprints == rhs.m_withMisprints &&
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GetNumTokens() == rhs.GetNumTokens());
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}
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bool IsBetter(Prediction const & rhs) const
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{
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// Tokens number on first place as the most valuable signal (even with misprints), see BarcelonaStreet.
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if (GetNumTokens() != rhs.GetNumTokens())
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return GetNumTokens() > rhs.GetNumTokens();
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if (m_withMisprints != rhs.m_withMisprints)
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return !m_withMisprints;
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return m_prob > rhs.m_prob;
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}
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CBV m_features;
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TokenRange m_tokenRange;
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bool m_withMisprints = false;
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double m_prob = 0.0;
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uint64_t m_hash = 0;
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};
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static void Go(BaseContext const & ctx, CBV const & candidates, FeaturesFilter const & filter,
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QueryParams const & params, std::vector<Prediction> & predictions);
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private:
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static void FindStreets(BaseContext const & ctx, CBV const & candidates,
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FeaturesFilter const & filter, QueryParams const & params,
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std::vector<Prediction> & prediction);
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};
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} // namespace search
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