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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.vespasignificance;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.yahoo.language.significance.impl.DocumentFrequencyFile;
import com.yahoo.language.significance.impl.SignificanceModelFile;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.io.TempDir;
import java.io.File;
import java.io.IOException;
import java.nio.file.Path;
import java.util.HashMap;
import static org.junit.jupiter.api.Assertions.*;
/**
* @author MariusArhaug
*/
public class SignificanceModelGeneratorTest {
private ObjectMapper objectMapper = new ObjectMapper();
@TempDir
private Path tempDir;
private ClientParameters.Builder createParameters(String inputPath, String outputPath, String field, String language, String docType) {
tempDir.toFile().mkdirs();
return new ClientParameters.Builder()
.setInputFile("src/test/files/" + inputPath)
.setOutputFile(tempDir.resolve(outputPath).toString())
.setField(field)
.setLanguage(language)
.setDocType(docType);
}
private SignificanceModelGenerator createSignificanceModelGenerator(ClientParameters params) {
return new SignificanceModelGenerator(params);
}
@Test
void testGenerateSimpleFile() throws IOException {
String inputPath = "no.jsonl";
String outputPath = "output.json";
ClientParameters params = createParameters(inputPath, outputPath, "text", "NB", "nb").build();
SignificanceModelGenerator generator = createSignificanceModelGenerator(params);
generator.generate();
File outputFile = new File(tempDir.resolve(outputPath).toString());
assertTrue(outputFile.exists());
SignificanceModelFile modelFile = objectMapper.readValue(outputFile, SignificanceModelFile.class);
HashMap<String, DocumentFrequencyFile> languages = modelFile.languages();
assertEquals(1, languages.size());
assertTrue(languages.containsKey("NB"));
DocumentFrequencyFile documentFrequencyFile = languages.get("NB");
assertEquals(3, documentFrequencyFile.frequencies().get("fra"));
assertEquals(3, documentFrequencyFile.frequencies().get("skriveform"));
assertEquals(3, documentFrequencyFile.frequencies().get("kategori"));
assertEquals(3, documentFrequencyFile.frequencies().get("eldr"));
}
@Test
void testGenerateFileWithMultipleLanguages() throws IOException {
String inputPath = "no.jsonl";
String outputPath = "output.json";
ClientParameters params1 = createParameters(inputPath, outputPath, "text", "NB", "nb").build();
SignificanceModelGenerator generator = createSignificanceModelGenerator(params1);
generator.generate();
File outputFile = new File(tempDir.resolve(outputPath).toString());
assertTrue(outputFile.exists());
String inputPath2 = "en.jsonl";
ClientParameters params2 = createParameters(inputPath2, outputPath, "text", "EN", "en").build();
generator = createSignificanceModelGenerator(params2);
generator.generate();
outputFile = new File(tempDir.resolve(outputPath).toString());
assertTrue(outputFile.exists());
SignificanceModelFile modelFile = objectMapper.readValue(outputFile, SignificanceModelFile.class);
HashMap<String, DocumentFrequencyFile> languages = modelFile.languages();
assertEquals(2, languages.size());
assertTrue(languages.containsKey("NB"));
assertTrue(languages.containsKey("EN"));
DocumentFrequencyFile nb = languages.get("NB");
DocumentFrequencyFile en = languages.get("EN");
assertEquals(3, nb.documentCount());
assertEquals(3, en.documentCount());
assertEquals(3, nb.frequencies().get("fra"));
assertEquals(3, nb.frequencies().get("skriveform"));
assertEquals(3, en.frequencies().get("some"));
assertEquals(3, en.frequencies().get("wiki"));
}
@Test
void testOverwriteExistingDocumentFrequencyLanguage() throws IOException {
String inputPath = "no.jsonl";
String outputPath = "output.json";
ClientParameters params1 = createParameters(inputPath, outputPath, "text", "NB", "nb").build();
SignificanceModelGenerator generator = createSignificanceModelGenerator(params1);
generator.generate();
File outputFile = new File(tempDir.resolve(outputPath).toString());
assertTrue(outputFile.exists());
SignificanceModelFile preUpdatedFile = objectMapper.readValue(outputFile, SignificanceModelFile.class)
;
HashMap<String, DocumentFrequencyFile> oldLanguages = preUpdatedFile.languages();
assertEquals(1, oldLanguages.size());
assertTrue(oldLanguages.containsKey("NB"));
DocumentFrequencyFile oldDf = oldLanguages.get("NB");
assertEquals(3, oldDf.frequencies().get("fra"));
assertEquals(3, oldDf.frequencies().get("skriveform"));
assertFalse(oldDf.frequencies().containsKey("nytt"));
String inputPath2 = "no_2.jsonl";
ClientParameters params2 = createParameters(inputPath2, outputPath, "text", "NB", "nb").build();
SignificanceModelGenerator generator2 = createSignificanceModelGenerator(params2);
generator2.generate();
outputFile = new File(tempDir.resolve(outputPath).toString());
assertTrue(outputFile.exists());
SignificanceModelFile modelFile = objectMapper.readValue(outputFile, SignificanceModelFile.class);
HashMap<String, DocumentFrequencyFile> languages = modelFile.languages();
assertEquals(1, languages.size());
assertTrue(languages.containsKey("NB"));
DocumentFrequencyFile df = languages.get("NB");
assertEquals(2, df.frequencies().get("fra"));
assertEquals(3, df.frequencies().get("skriveform"));
assertTrue(df.frequencies().containsKey("nytt"));
assertEquals(2, df.frequencies().get("nytt"));
}
}
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