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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "dot_product_term.h"
#include <vespa/searchlib/fef/itermdata.h>
#include <vespa/searchlib/fef/matchdata.h>
#include <vespa/vespalib/stllike/hash_map.h>
using search::fef::ITermData;
using search::fef::MatchData;
namespace search::streaming {
DotProductTerm::DotProductTerm(std::unique_ptr<QueryNodeResultBase> result_base, const string & index, uint32_t num_terms)
: MultiTerm(std::move(result_base), index, num_terms)
{
}
DotProductTerm::~DotProductTerm() = default;
void
DotProductTerm::build_scores(Scores& scores) const
{
HitList hl_store;
for (const auto& term : _terms) {
auto& hl = term->evaluateHits(hl_store);
for (auto& hit : hl) {
scores[hit.field_id()] += ((int64_t)term->weight().percent()) * hit.element_weight();
}
}
}
void
DotProductTerm::unpack_scores(Scores& scores, std::optional<double> score_threshold, uint32_t docid, const fef::ITermData& td, fef::MatchData& match_data)
{
auto num_fields = td.numFields();
for (uint32_t field_idx = 0; field_idx < num_fields; ++field_idx) {
auto& tfd = td.field(field_idx);
auto field_id = tfd.getFieldId();
if (scores.contains(field_id)) {
auto score = scores[field_id];
if (!score_threshold.has_value() || score_threshold.value() < score) {
auto handle = tfd.getHandle();
if (handle != fef::IllegalHandle) {
auto tmd = match_data.resolveTermField(tfd.getHandle());
tmd->setFieldId(field_id);
tmd->setRawScore(docid, score);
}
}
}
}
}
void
DotProductTerm::unpack_match_data(uint32_t docid, const ITermData& td, MatchData& match_data, const fef::IIndexEnvironment&)
{
Scores scores;
build_scores(scores);
unpack_scores(scores, std::nullopt, docid, td, match_data);
}
}
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