/
QuestionAnsweringConfigUpdateTests.java
183 lines (165 loc) · 7.26 KB
/
QuestionAnsweringConfigUpdateTests.java
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
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0; you may not use this file except in compliance with the Elastic License
* 2.0.
*/
package org.elasticsearch.xpack.core.ml.inference.trainedmodel;
import org.elasticsearch.TransportVersion;
import org.elasticsearch.TransportVersions;
import org.elasticsearch.common.io.stream.Writeable;
import org.elasticsearch.core.Tuple;
import org.elasticsearch.xcontent.XContentParser;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import static org.elasticsearch.xpack.core.ml.inference.trainedmodel.InferenceConfigTestScaffolding.cloneWithNewTruncation;
import static org.elasticsearch.xpack.core.ml.inference.trainedmodel.InferenceConfigTestScaffolding.createTokenizationUpdate;
import static org.elasticsearch.xpack.core.ml.inference.trainedmodel.NlpConfig.NUM_TOP_CLASSES;
import static org.elasticsearch.xpack.core.ml.inference.trainedmodel.QuestionAnsweringConfig.QUESTION;
import static org.hamcrest.Matchers.equalTo;
public class QuestionAnsweringConfigUpdateTests extends AbstractNlpConfigUpdateTestCase<QuestionAnsweringConfigUpdate> {
public static QuestionAnsweringConfigUpdate randomUpdate() {
return new QuestionAnsweringConfigUpdate(
randomAlphaOfLength(10),
randomBoolean() ? null : randomIntBetween(0, 15),
randomBoolean() ? null : randomIntBetween(1, 100),
randomBoolean() ? null : randomAlphaOfLength(5),
randomBoolean() ? null : new BertTokenizationUpdate(randomFrom(Tokenization.Truncate.values()), null)
);
}
// TODO add test for question
public static QuestionAnsweringConfigUpdate mutateForVersion(QuestionAnsweringConfigUpdate instance, TransportVersion version) {
if (version.before(TransportVersions.V_8_1_0)) {
return new QuestionAnsweringConfigUpdate(
instance.getQuestion(),
instance.getNumTopClasses(),
instance.getMaxAnswerLength(),
instance.getResultsField(),
null
);
}
if (version.before(TransportVersions.ML_QUESTION_ANSWERING_CONFIG_REQUIRE_QUESTION_NON_NULL)) {
return new QuestionAnsweringConfigUpdate(
instance.getQuestion() == null ? instance.getQuestion() : null,
instance.getNumTopClasses(),
instance.getMaxAnswerLength(),
instance.getResultsField(),
instance.getTokenizationUpdate()
);
}
return instance;
}
@Override
protected QuestionAnsweringConfigUpdate doParseInstance(XContentParser parser) throws IOException {
return QuestionAnsweringConfigUpdate.fromXContentStrict(parser);
}
@Override
protected Writeable.Reader<QuestionAnsweringConfigUpdate> instanceReader() {
return QuestionAnsweringConfigUpdate::new;
}
@Override
protected QuestionAnsweringConfigUpdate createTestInstance() {
return createRandom();
}
@Override
protected QuestionAnsweringConfigUpdate mutateInstance(QuestionAnsweringConfigUpdate instance) {
return null;// TODO implement https://github.com/elastic/elasticsearch/issues/25929
}
@Override
protected QuestionAnsweringConfigUpdate mutateInstanceForVersion(QuestionAnsweringConfigUpdate instance, TransportVersion version) {
return mutateForVersion(instance, version);
}
@Override
Tuple<Map<String, Object>, QuestionAnsweringConfigUpdate> fromMapTestInstances(TokenizationUpdate expectedTokenization) {
QuestionAnsweringConfigUpdate expected = new QuestionAnsweringConfigUpdate(
"What is the meaning of life?",
3,
20,
"ml-results",
expectedTokenization
);
Map<String, Object> config = new HashMap<>() {
{
put(QUESTION.getPreferredName(), "What is the meaning of life?");
put(NUM_TOP_CLASSES.getPreferredName(), 3);
put(QuestionAnsweringConfig.MAX_ANSWER_LENGTH.getPreferredName(), 20);
put(QuestionAnsweringConfig.RESULTS_FIELD.getPreferredName(), "ml-results");
}
};
return Tuple.tuple(config, expected);
}
@Override
QuestionAnsweringConfigUpdate fromMap(Map<String, Object> map) {
return QuestionAnsweringConfigUpdate.fromMap(map);
}
public void testApply() {
Tokenization tokenizationConfig = randomFrom(
BertTokenizationTests.createRandom(),
MPNetTokenizationTests.createRandom(),
RobertaTokenizationTests.createRandom()
);
QuestionAnsweringConfig originalConfig = new QuestionAnsweringConfig(
randomBoolean() ? null : randomIntBetween(0, 10),
randomBoolean() ? null : randomIntBetween(1, 20),
randomBoolean() ? null : VocabularyConfigTests.createRandom(),
tokenizationConfig,
randomBoolean() ? null : randomAlphaOfLength(8)
);
assertThat(
new QuestionAnsweringConfig(
"Are you my mother?",
4,
40,
originalConfig.getVocabularyConfig(),
originalConfig.getTokenization(),
originalConfig.getResultsField()
),
equalTo(
originalConfig.apply(
new QuestionAnsweringConfigUpdate.Builder().setQuestion("Are you my mother?")
.setNumTopClasses(4)
.setMaxAnswerLength(40)
.build()
)
)
);
assertThat(
new QuestionAnsweringConfig(
"Are you my mother?",
originalConfig.getNumTopClasses(),
originalConfig.getMaxAnswerLength(),
originalConfig.getVocabularyConfig(),
originalConfig.getTokenization(),
"updated-field"
),
equalTo(
originalConfig.apply(
new QuestionAnsweringConfigUpdate.Builder().setQuestion("Are you my mother?").setResultsField("updated-field").build()
)
)
);
Tokenization.Truncate truncate = randomFrom(Tokenization.Truncate.values());
Tokenization tokenization = cloneWithNewTruncation(originalConfig.getTokenization(), truncate);
assertThat(
new QuestionAnsweringConfig(
"Are you my mother?",
originalConfig.getNumTopClasses(),
originalConfig.getMaxAnswerLength(),
originalConfig.getVocabularyConfig(),
tokenization,
originalConfig.getResultsField()
),
equalTo(
originalConfig.apply(
new QuestionAnsweringConfigUpdate.Builder().setQuestion("Are you my mother?")
.setTokenizationUpdate(createTokenizationUpdate(originalConfig.getTokenization(), truncate, null))
.build()
)
)
);
}
public static QuestionAnsweringConfigUpdate createRandom() {
return randomUpdate();
}
}