package eu.dnetlib.dhp.actionmanager.usagestats;

import static org.junit.jupiter.api.Assertions.assertEquals;

import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.stream.Collectors;

import org.apache.commons.io.FileUtils;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.fasterxml.jackson.databind.ObjectMapper;

import eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Result;

public class SparkAtomicActionCountJobTest {

	private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();

	private static SparkSession spark;

	private static Path workingDir;
	private static final Logger log = LoggerFactory
		.getLogger(SparkAtomicActionCountJobTest.class);

	@BeforeAll
	public static void beforeAll() throws IOException {
		workingDir = Files
			.createTempDirectory(SparkAtomicActionCountJobTest.class.getSimpleName());
		log.info("using work dir {}", workingDir);

		SparkConf conf = new SparkConf();
		conf.setAppName(SparkAtomicActionCountJobTest.class.getSimpleName());

		conf.setMaster("local[*]");
		conf.set("spark.driver.host", "localhost");
		conf.set("hive.metastore.local", "true");
		conf.set("spark.ui.enabled", "false");
		conf.set("spark.sql.warehouse.dir", workingDir.toString());
		conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());

		spark = SparkSession
			.builder()
			.appName(SparkAtomicActionCountJobTest.class.getSimpleName())
			.config(conf)
			.getOrCreate();
	}

	@AfterAll
	public static void afterAll() throws IOException {
		FileUtils.deleteDirectory(workingDir.toFile());
		spark.stop();
	}

	@Test
	void testMatch() {
		String usageScoresPath = getClass()
			.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb")
			.getPath();

		SparkAtomicActionUsageJob.prepareActionSet(spark, usageScoresPath,  workingDir.toString() + "/actionSet");

		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());

		JavaRDD<Result> tmp = sc
			.textFile(workingDir.toString() + "/actionSet")
			.map(usm -> OBJECT_MAPPER.readValue(usm, Result.class));

		Assertions.assertEquals(9, tmp.count());

		tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size()));
		tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
				m.getUnit().stream().forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
		tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
				m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
		tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
				m.getUnit().stream().forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));

		tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
				m.getUnit().stream().forEach(u -> Assertions.assertEquals("measure:usage_counts",
						u.getDataInfo().getProvenanceaction().getClassid()))));
		tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
				m.getUnit().stream().forEach(u -> Assertions.assertEquals("Inferred by OpenAIRE",
						u.getDataInfo().getProvenanceaction().getClassname()))));

		tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
				m.getUnit().stream().forEach(u -> Assertions.assertEquals("count",
						u.getKey()))));

		Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).count());

		Assertions.assertEquals("0", tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).collect().get(0)
				.getMeasures().stream().filter(m -> m.getId().equals("downloads")).collect(Collectors.toList()).get(0)
				.getUnit().get(0).getValue());
		Assertions.assertEquals("5", tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).collect().get(0)
				.getMeasures().stream().filter(m -> m.getId().equals("views")).collect(Collectors.toList()).get(0)
				.getUnit().get(0).getValue());

		Assertions.assertEquals("0", tmp.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0")).collect().get(0)
				.getMeasures().stream().filter(m -> m.getId().equals("downloads")).collect(Collectors.toList()).get(0)
				.getUnit().get(0).getValue());
		Assertions.assertEquals("1", tmp.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0")).collect().get(0)
				.getMeasures().stream().filter(m -> m.getId().equals("views")).collect(Collectors.toList()).get(0)
				.getUnit().get(0).getValue());

		Assertions.assertEquals("2", tmp.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f")).collect().get(0)
				.getMeasures().stream().filter(m -> m.getId().equals("downloads")).collect(Collectors.toList()).get(0)
				.getUnit().get(0).getValue());
		Assertions.assertEquals("6", tmp.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f")).collect().get(0)
				.getMeasures().stream().filter(m -> m.getId().equals("views")).collect(Collectors.toList()).get(0)
				.getUnit().get(0).getValue());
	}



}