1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
|
// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/eval/eval/simple_value.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/eval/eval/tensor_spec.h>
#include <vespa/searchcore/proton/matching/requestcontext.h>
#include <vespa/searchlib/attribute/attribute_blueprint_params.h>
#include <vespa/searchlib/fef/test/indexenvironment.h>
#include <vespa/searchlib/fef/test/queryenvironment.h>
#include <vespa/vespalib/util/testclock.h>
#include <vespa/vespalib/util/simple_thread_bundle.h>
#include <vespa/vespalib/gtest/gtest.h>
#include <vespa/vespalib/objects/nbostream.h>
using search::attribute::AttributeBlueprintParams;
using search::attribute::IAttributeContext;
using search::attribute::IAttributeFunctor;
using search::attribute::IAttributeVector;
using search::fef::test::IndexEnvironment;
using search::fef::test::QueryEnvironment;
using vespalib::eval::SimpleValue;
using vespalib::eval::TensorSpec;
using vespalib::eval::Value;
using namespace proton;
using namespace search::fef::indexproperties;
class MyAttributeContext : public search::attribute::IAttributeContext {
public:
const IAttributeVector* getAttribute(const vespalib::string&) const override { abort(); }
const IAttributeVector* getAttributeStableEnum(const vespalib::string&) const override { abort(); }
void getAttributeList(std::vector<const IAttributeVector*>&) const override { abort(); }
void asyncForAttribute(const vespalib::string&, std::unique_ptr<IAttributeFunctor>) const override { abort(); }
};
class RequestContextTest : public ::testing::Test {
private:
vespalib::TestClock _clock;
vespalib::Doom _doom;
vespalib::SimpleThreadBundle _thread_bundle;
MyAttributeContext _attr_ctx;
IndexEnvironment _index_env;
QueryEnvironment _query_env;
RequestContext _request_ctx;
Value::UP _query_tensor;
void insert_tensor_in_properties(const vespalib::string& tensor_name, const Value& tensor_value) {
vespalib::nbostream stream;
encode_value(tensor_value, stream);
_query_env.getProperties().add(tensor_name, vespalib::stringref(stream.data(), stream.size()));
}
public:
RequestContextTest()
: _clock(),
_doom(_clock.nowRef(), vespalib::steady_time(), vespalib::steady_time(), false),
_thread_bundle(1),
_attr_ctx(),
_index_env(),
_query_env(&_index_env),
_request_ctx(_doom, _thread_bundle, _attr_ctx, _query_env, _query_env.getObjectStore(), AttributeBlueprintParams(), nullptr),
_query_tensor(SimpleValue::from_spec(TensorSpec("tensor(x[2])")
.add({{"x", 0}}, 3).add({{"x", 1}}, 5)))
{
type::QueryFeature::set(_index_env.getProperties(), "my_tensor", "tensor(x[2])");
insert_tensor_in_properties("my_tensor", *_query_tensor);
_query_env.getProperties().add("my_string", "foo bar");
}
TensorSpec expected_query_tensor() const {
return spec_from_value(*_query_tensor);
}
const Value* get_query_tensor(const vespalib::string& tensor_name) const {
return _request_ctx.get_query_tensor(tensor_name);
}
};
TEST_F(RequestContextTest, query_tensor_can_be_retrieved)
{
auto tensor = get_query_tensor("my_tensor");
ASSERT_TRUE(tensor);
EXPECT_TRUE(tensor->type().has_dimensions());
EXPECT_EQ(expected_query_tensor(), spec_from_value(*tensor));
}
TEST_F(RequestContextTest, non_existing_query_tensor_returns_nullptr)
{
auto tensor = get_query_tensor("non_existing");
EXPECT_FALSE(tensor);
}
TEST_F(RequestContextTest, rank_property_of_non_tensor_type_returns_nullptr)
{
auto tensor = get_query_tensor("my_string");
EXPECT_FALSE(tensor);
}
GTEST_MAIN_RUN_ALL_TESTS()
|