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// Copyright 2019 Oath Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/vespalib/testkit/test_kit.h>
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/eval/tensor/default_tensor_engine.h>
#include <vespa/eval/tensor/dense/dense_tensor.h>
#include <vespa/eval/tensor/tensor.h>
#include <vespa/searchlib/common/feature.h>
#include <vespa/searchlib/fef/matchdata.h>
#include <vespa/searchlib/queryeval/nearest_neighbor_iterator.h>
#include <vespa/searchlib/queryeval/simpleresult.h>
#include <vespa/searchlib/tensor/dense_tensor_attribute.h>
#include <vespa/vespalib/test/insertion_operators.h>
#include <vespa/log/log.h>
LOG_SETUP("nearest_neighbor_test");
using search::feature_t;
using search::tensor::DenseTensorAttribute;
using search::AttributeVector;
using vespalib::eval::ValueType;
using vespalib::eval::TensorSpec;
using vespalib::tensor::Tensor;
using vespalib::tensor::DenseTensorView;
using vespalib::tensor::DefaultTensorEngine;
using namespace search::fef;
using namespace search::queryeval;
vespalib::string denseSpec("tensor(x[2])");
std::unique_ptr<DenseTensorView> createTensor(const TensorSpec &spec) {
auto value = DefaultTensorEngine::ref().from_spec(spec);
DenseTensorView *tensor = dynamic_cast<DenseTensorView*>(value.get());
ASSERT_TRUE(tensor != nullptr);
value.release();
return std::unique_ptr<DenseTensorView>(tensor);
}
std::unique_ptr<DenseTensorView> createTensor(double v1, double v2) {
return createTensor(TensorSpec(denseSpec).add({{"x", 0}}, v1)
.add({{"x", 1}}, v2));
}
struct Fixture
{
using BasicType = search::attribute::BasicType;
using CollectionType = search::attribute::CollectionType;
using Config = search::attribute::Config;
Config _cfg;
vespalib::string _name;
vespalib::string _typeSpec;
std::shared_ptr<DenseTensorAttribute> _tensorAttr;
std::shared_ptr<AttributeVector> _attr;
Fixture(const vespalib::string &typeSpec)
: _cfg(BasicType::TENSOR, CollectionType::SINGLE),
_name("test"),
_typeSpec(typeSpec),
_tensorAttr(),
_attr()
{
_cfg.setTensorType(ValueType::from_spec(typeSpec));
_tensorAttr = makeAttr();
_attr = _tensorAttr;
_attr->addReservedDoc();
}
~Fixture() {}
std::shared_ptr<DenseTensorAttribute> makeAttr() {
return std::make_shared<DenseTensorAttribute>(_name, _cfg);
}
void ensureSpace(uint32_t docId) {
while (_attr->getNumDocs() <= docId) {
uint32_t newDocId = 0u;
_attr->addDoc(newDocId);
_attr->commit();
}
}
void setTensor(uint32_t docId, const Tensor &tensor) {
ensureSpace(docId);
_tensorAttr->setTensor(docId, tensor);
_attr->commit();
}
void setTensor(uint32_t docId, double v1, double v2) {
auto t = createTensor(v1, v2);
setTensor(docId, *t);
}
};
template <bool strict>
SimpleResult find_matches(Fixture &env, const DenseTensorView &qtv) {
auto md = MatchData::makeTestInstance(2, 2);
auto &tfmd = *(md->resolveTermField(0));
auto &attr = *(env._tensorAttr);
NearestNeighborDistanceHeap dh(2);
auto search = NearestNeighborIterator::create(strict, tfmd, qtv, attr, dh);
if (strict) {
return SimpleResult().searchStrict(*search, attr.getNumDocs());
} else {
return SimpleResult().search(*search, attr.getNumDocs());
}
}
TEST("require that NearestNeighborIterator returns expected results") {
Fixture fixture(denseSpec);
fixture.ensureSpace(6);
fixture.setTensor(1, 3.0, 4.0);
fixture.setTensor(2, 6.0, 8.0);
fixture.setTensor(3, 5.0, 12.0);
fixture.setTensor(4, 4.0, 3.0);
fixture.setTensor(5, 8.0, 6.0);
fixture.setTensor(6, 4.0, 3.0);
auto nullTensor = createTensor(0.0, 0.0);
SimpleResult result = find_matches<true>(fixture, *nullTensor);
SimpleResult nullExpect({1,2,4,6});
EXPECT_EQUAL(result, nullExpect);
result = find_matches<false>(fixture, *nullTensor);
EXPECT_EQUAL(result, nullExpect);
auto farTensor = createTensor(9.0, 9.0);
SimpleResult farExpect({1,2,3,5});
result = find_matches<true>(fixture, *farTensor);
EXPECT_EQUAL(result, farExpect);
result = find_matches<false>(fixture, *farTensor);
EXPECT_EQUAL(result, farExpect);
}
template <bool strict>
std::vector<feature_t> get_rawscores(Fixture &env, const DenseTensorView &qtv) {
auto md = MatchData::makeTestInstance(2, 2);
auto &tfmd = *(md->resolveTermField(0));
auto &attr = *(env._tensorAttr);
NearestNeighborDistanceHeap dh(2);
auto search = NearestNeighborIterator::create(strict, tfmd, qtv, attr, dh);
uint32_t limit = attr.getNumDocs();
uint32_t docid = 1;
search->initRange(docid, limit);
std::vector<feature_t> rv;
while (docid < limit) {
if (search->seek(docid)) {
search->unpack(docid);
rv.push_back(tfmd.getRawScore());
}
docid = std::max(search->getDocId(), docid + 1);
}
return rv;
}
TEST("require that NearestNeighborIterator sets expected rawscore") {
Fixture fixture(denseSpec);
fixture.ensureSpace(6);
fixture.setTensor(1, 3.0, 4.0);
fixture.setTensor(2, 5.0, 12.0);
fixture.setTensor(3, 6.0, 8.0);
fixture.setTensor(4, 5.0, 12.0);
fixture.setTensor(5, 8.0, 6.0);
fixture.setTensor(6, 4.0, 3.0);
auto nullTensor = createTensor(0.0, 0.0);
std::vector<feature_t> got = get_rawscores<true>(fixture, *nullTensor);
std::vector<feature_t> expected{5.0, 13.0, 10.0, 10.0, 5.0};
EXPECT_EQUAL(got, expected);
got = get_rawscores<false>(fixture, *nullTensor);
EXPECT_EQUAL(got, expected);
}
TEST_MAIN() { TEST_RUN_ALL(); }
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