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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "distance_closeness_fixture.h"
#include <vespa/eval/eval/simple_value.h>
#include <vespa/eval/eval/value.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/eval/eval/value_type.h>
#include <vespa/searchcommon/attribute/config.h>
#include <vespa/searchlib/tensor/dense_tensor_attribute.h>
#include <vespa/searchlib/tensor/direct_tensor_attribute.h>
#include <vespa/searchlib/tensor/serialized_fast_value_attribute.h>
using search::attribute::BasicType;
using search::attribute::CollectionType;
using search::attribute::Config;
using search::attribute::DistanceMetric;
using search::fef::test::IndexEnvironment;
using search::fef::test::QueryEnvironment;
using search::tensor::DenseTensorAttribute;
using search::tensor::DirectTensorAttribute;
using search::tensor::SerializedFastValueAttribute;
using search::tensor::TensorAttribute;
using vespalib::eval::SimpleValue;
using vespalib::eval::TensorSpec;
using vespalib::eval::Value;
using vespalib::eval::ValueType;
namespace search::features::test {
namespace {
std::shared_ptr<TensorAttribute>
create_tensor_attribute(const vespalib::string& attr_name,
const vespalib::string& tensor_type,
DistanceMetric distance_metric,
bool direct_tensor,
uint32_t docid_limit)
{
Config cfg(BasicType::TENSOR, CollectionType::SINGLE);
cfg.setTensorType(ValueType::from_spec(tensor_type));
cfg.set_distance_metric(distance_metric);
std::shared_ptr<TensorAttribute> result;
if (cfg.tensorType().is_dense()) {
result = std::make_shared<DenseTensorAttribute>(attr_name, cfg);
} else if (direct_tensor) {
result = std::make_shared<DirectTensorAttribute>(attr_name, cfg);
} else {
result = std::make_shared<SerializedFastValueAttribute>(attr_name, cfg);
}
result->addReservedDoc();
result->addDocs(docid_limit-1);
result->commit();
return result;
}
}
FeatureDumpFixture::~FeatureDumpFixture() = default;
DistanceClosenessFixture::DistanceClosenessFixture(size_t fooCnt, size_t barCnt,
const Labels& labels,
const vespalib::string& featureName,
const vespalib::string& query_tensor,
DistanceMetric distance_metric)
: DistanceClosenessFixture("tensor(x[2])", false, fooCnt, barCnt, labels, featureName, query_tensor, distance_metric)
{
}
DistanceClosenessFixture::DistanceClosenessFixture(const vespalib::string& tensor_type,
bool direct_tensor,
size_t fooCnt, size_t barCnt,
const Labels& labels,
const vespalib::string& featureName,
const vespalib::string& query_tensor,
DistanceMetric distance_metric)
: queryEnv(&indexEnv), rankSetup(factory, indexEnv),
mdl(), match_data(), rankProgram(), fooHandles(), barHandles(),
tensor_attr(),
docid_limit(11),
_failed(false)
{
for (size_t i = 0; i < fooCnt; ++i) {
uint32_t fieldId = indexEnv.getFieldByName("foo")->id();
fooHandles.push_back(mdl.allocTermField(fieldId));
SimpleTermData term;
term.setUniqueId(i + 1);
term.addField(fieldId).setHandle(fooHandles.back());
queryEnv.getTerms().push_back(term);
}
for (size_t i = 0; i < barCnt; ++i) {
uint32_t fieldId = indexEnv.getFieldByName("bar")->id();
barHandles.push_back(mdl.allocTermField(fieldId));
SimpleTermData term;
term.setUniqueId(fooCnt + i + 1);
term.addField(fieldId).setHandle(barHandles.back());
if (!query_tensor.empty()) {
term.set_query_tensor_name("qbar");
}
queryEnv.getTerms().push_back(term);
}
if (!query_tensor.empty()) {
tensor_attr = create_tensor_attribute("bar", tensor_type, distance_metric, direct_tensor, docid_limit);
indexEnv.getAttributeMap().add(tensor_attr);
search::fef::indexproperties::type::Attribute::set(indexEnv.getProperties(), "bar", tensor_type);
set_query_tensor("qbar", "tensor(x[2])", TensorSpec::from_expr(query_tensor));
}
labels.inject(queryEnv.getProperties());
rankSetup.setFirstPhaseRank(featureName);
rankSetup.setIgnoreDefaultRankFeatures(true);
EXPECT_TRUE(rankSetup.compile()) << (_failed = true, "");
if (_failed) {
return;
}
rankSetup.prepareSharedState(queryEnv, queryEnv.getObjectStore());
match_data = mdl.createMatchData();
rankProgram = rankSetup.create_first_phase_program();
rankProgram->setup(*match_data, queryEnv);
}
DistanceClosenessFixture::~DistanceClosenessFixture() = default;
void
DistanceClosenessFixture::set_attribute_tensor(uint32_t docid, const vespalib::eval::TensorSpec& spec)
{
auto tensor = SimpleValue::from_spec(spec);
tensor_attr->setTensor(docid, *tensor);
tensor_attr->commit();
}
void
DistanceClosenessFixture::set_query_tensor(const vespalib::string& query_tensor_name,
const vespalib::string& tensor_type,
const TensorSpec& spec)
{
search::fef::indexproperties::type::QueryFeature::set(indexEnv.getProperties(), query_tensor_name, tensor_type);
auto tensor = SimpleValue::from_spec(spec);
vespalib::nbostream stream;
vespalib::eval::encode_value(*tensor, stream);
queryEnv.getProperties().add(query_tensor_name, vespalib::stringref(stream.peek(), stream.size()));
}
}
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