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* the Apache License, Version 2.0 (the "License"); you may
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* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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package org.elasticsearch.ingest.common;
import org.elasticsearch.ingest.IngestDocument;
import org.elasticsearch.ingest.Processor;
import org.elasticsearch.ingest.RandomDocumentPicks;
import org.elasticsearch.ingest.TemplateService;
import org.elasticsearch.ingest.TestTemplateService;
import org.elasticsearch.ingest.ValueSource;
import org.elasticsearch.test.ESTestCase;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import static org.hamcrest.CoreMatchers.equalTo;
import static org.hamcrest.CoreMatchers.not;
import static org.hamcrest.CoreMatchers.sameInstance;
public class AppendProcessorTests extends ESTestCase {
public void testAppendValuesToExistingList() throws Exception {
IngestDocument ingestDocument = RandomDocumentPicks.randomIngestDocument(random());
Scalar scalar = randomFrom(Scalar.values());
List<Object> list = new ArrayList<>();
int size = randomIntBetween(0, 10);
for (int i = 0; i < size; i++) {
list.add(scalar.randomValue());
}
List<Object> checkList = new ArrayList<>(list);
String field = RandomDocumentPicks.addRandomField(random(), ingestDocument, list);
List<Object> values = new ArrayList<>();
Processor appendProcessor;
if (randomBoolean()) {
Object value = scalar.randomValue();
values.add(value);
appendProcessor = createAppendProcessor(field, value);
} else {
int valuesSize = randomIntBetween(0, 10);
for (int i = 0; i < valuesSize; i++) {
values.add(scalar.randomValue());
}
appendProcessor = createAppendProcessor(field, values);
}
appendProcessor.execute(ingestDocument);
Object fieldValue = ingestDocument.getFieldValue(field, Object.class);
assertThat(fieldValue, sameInstance(list));
assertThat(list.size(), equalTo(size + values.size()));
for (int i = 0; i < size; i++) {
assertThat(list.get(i), equalTo(checkList.get(i)));
}
for (int i = size; i < size + values.size(); i++) {
assertThat(list.get(i), equalTo(values.get(i - size)));
}
}
public void testAppendValuesToNonExistingList() throws Exception {
IngestDocument ingestDocument = RandomDocumentPicks.randomIngestDocument(random(), new HashMap<>());
String field = RandomDocumentPicks.randomFieldName(random());
Scalar scalar = randomFrom(Scalar.values());
List<Object> values = new ArrayList<>();
Processor appendProcessor;
if (randomBoolean()) {
Object value = scalar.randomValue();
values.add(value);
appendProcessor = createAppendProcessor(field, value);
} else {
int valuesSize = randomIntBetween(0, 10);
for (int i = 0; i < valuesSize; i++) {
values.add(scalar.randomValue());
}
appendProcessor = createAppendProcessor(field, values);
}
appendProcessor.execute(ingestDocument);
List list = ingestDocument.getFieldValue(field, List.class);
assertThat(list, not(sameInstance(values)));
assertThat(list, equalTo(values));
}
public void testConvertScalarToList() throws Exception {
IngestDocument ingestDocument = RandomDocumentPicks.randomIngestDocument(random());
Scalar scalar = randomFrom(Scalar.values());
Object initialValue = scalar.randomValue();
String field = RandomDocumentPicks.addRandomField(random(), ingestDocument, initialValue);
List<Object> values = new ArrayList<>();
Processor appendProcessor;
if (randomBoolean()) {
Object value = scalar.randomValue();
values.add(value);
appendProcessor = createAppendProcessor(field, value);
} else {
int valuesSize = randomIntBetween(0, 10);
for (int i = 0; i < valuesSize; i++) {
values.add(scalar.randomValue());
}
appendProcessor = createAppendProcessor(field, values);
}
appendProcessor.execute(ingestDocument);
List fieldValue = ingestDocument.getFieldValue(field, List.class);
assertThat(fieldValue.size(), equalTo(values.size() + 1));
assertThat(fieldValue.get(0), equalTo(initialValue));
for (int i = 1; i < values.size() + 1; i++) {
assertThat(fieldValue.get(i), equalTo(values.get(i - 1)));
}
}
public void testAppendMetadata() throws Exception {
//here any metadata field value becomes a list, which won't make sense in most of the cases,
// but support for append is streamlined like for set so we test it
IngestDocument.MetaData randomMetaData = randomFrom(IngestDocument.MetaData.values());
List<String> values = new ArrayList<>();
Processor appendProcessor;
if (randomBoolean()) {
String value = randomAlphaOfLengthBetween(1, 10);
values.add(value);
appendProcessor = createAppendProcessor(randomMetaData.getFieldName(), value);
} else {
int valuesSize = randomIntBetween(0, 10);
for (int i = 0; i < valuesSize; i++) {
values.add(randomAlphaOfLengthBetween(1, 10));
}
appendProcessor = createAppendProcessor(randomMetaData.getFieldName(), values);
}
IngestDocument ingestDocument = RandomDocumentPicks.randomIngestDocument(random());
Object initialValue = ingestDocument.getSourceAndMetadata().get(randomMetaData.getFieldName());
appendProcessor.execute(ingestDocument);
List list = ingestDocument.getFieldValue(randomMetaData.getFieldName(), List.class);
if (initialValue == null) {
assertThat(list, equalTo(values));
} else {
assertThat(list.size(), equalTo(values.size() + 1));
assertThat(list.get(0), equalTo(initialValue));
for (int i = 1; i < list.size(); i++) {
assertThat(list.get(i), equalTo(values.get(i - 1)));
}
}
}
private static Processor createAppendProcessor(String fieldName, Object fieldValue) {
TemplateService templateService = TestTemplateService.instance();
return new AppendProcessor(randomAlphaOfLength(10), templateService.compile(fieldName), ValueSource.wrap(fieldValue,
templateService));
}
private enum Scalar {
INTEGER {
@Override
Object randomValue() {
return randomInt();
}
}, DOUBLE {
@Override
Object randomValue() {
return randomDouble();
}
}, FLOAT {
@Override
Object randomValue() {
return randomFloat();
}
}, BOOLEAN {
@Override
Object randomValue() {
return randomBoolean();
}
}, STRING {
@Override
Object randomValue() {
return randomAlphaOfLengthBetween(1, 10);
}
}, MAP {
@Override
Object randomValue() {
int numItems = randomIntBetween(1, 10);
Map<String, Object> map = new HashMap<>(numItems);
for (int i = 0; i < numItems; i++) {
map.put(randomAlphaOfLengthBetween(1, 10), randomFrom(Scalar.values()).randomValue());
}
return map;
}
}, NULL {
@Override
Object randomValue() {
return null;
}
};
abstract Object randomValue();
}
}