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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include <vespa/searchlib/fef/matchdata.h>
#include <vespa/searchlib/fef/matchdatalayout.h>
#include <vespa/searchlib/fef/properties.h>
#include <vespa/searchlib/fef/rank_program.h>
#include <vespa/searchlib/fef/ranksetup.h>
#include <vespa/searchlib/query/streaming/query.h>
#include <vespa/vdslib/container/searchresult.h>
#include "hitcollector.h"
#include "queryenvironment.h"
#include "querywrapper.h"
#include "rankmanager.h"
namespace streaming {
class QueryTermData;
/**
* This class is associated with a query and a rank profile and
* is used to calculate rank and feature set for matched documents.
**/
class RankProcessor
{
private:
using RankProgram = search::fef::RankProgram;
using FeatureSet = vespalib::FeatureSet;
using FeatureValues = vespalib::FeatureValues;
std::shared_ptr<const RankManager::Snapshot> _rankManagerSnapshot;
const search::fef::RankSetup & _rankSetup;
QueryWrapper _query;
QueryEnvironment _queryEnv;
const search::fef::Properties &_featureOverrides;
search::fef::MatchDataLayout _mdLayout;
search::fef::MatchData::UP _match_data;
search::fef::RankProgram::UP _rankProgram;
uint32_t _docId;
double _score;
search::fef::RankProgram::UP _summaryProgram;
search::fef::NumberOrObject _zeroScore;
search::fef::LazyValue _rankScore;
HitCollector::UP _hitCollector;
std::unique_ptr<RankProgram> _match_features_program;
void resolve_fields_from_children(QueryTermData& qtd, search::streaming::MultiTerm& mt);
void resolve_fields_from_term(QueryTermData& qtd, search::streaming::QueryTerm& term);
void initQueryEnvironment();
void initHitCollector(size_t wantedHitCount, bool use_sort_blob);
void setupRankProgram(search::fef::RankProgram &program);
FeatureValues calculate_match_features();
/**
* Initializes this rank processor.
* @param forRanking whether this should be used for ranking or dumping.
* @param wantedHitCount the number of hits we want to return from the hit collector.
* @return whether the rank processor was initialized or not.
**/
void init(bool forRanking, size_t wantedHitCount, bool use_sort_blob);
public:
using UP = std::unique_ptr<RankProcessor>;
RankProcessor(std::shared_ptr<const RankManager::Snapshot> snapshot,
const vespalib::string &rankProfile,
search::streaming::Query & query,
const vespalib::string & location,
const search::fef::Properties & queryProperties,
const search::fef::Properties & featureOverrides,
const search::IAttributeManager * attrMgr);
void initForRanking(size_t wantedHitCount, bool use_sort_blob);
void initForDumping(size_t wantedHitCount, bool use_sort_blob);
void unpackMatchData(uint32_t docId);
static void unpack_match_data(uint32_t docid, search::fef::MatchData& matchData, QueryWrapper& query, const search::fef::IIndexEnvironment& index_env);
void runRankProgram(uint32_t docId);
vespalib::FeatureSet::SP calculateFeatureSet();
vespalib::FeatureSet::SP calculateFeatureSet(search::DocumentIdT docId);
void fillSearchResult(vdslib::SearchResult & searchResult);
const search::fef::MatchData &getMatchData() const { return *_match_data; }
void setRankScore(double score) { _score = score; }
double getRankScore() const { return _score; }
HitCollector & getHitCollector() { return *_hitCollector; }
uint32_t getDocId() const { return _docId; }
search::fef::IQueryEnvironment& get_query_env() { return _queryEnv; }
QueryEnvironment& get_real_query_env() { return _queryEnv; }
};
} // namespace streaming
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