forked from D-Net/dnet-hadoop
implemented command line
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@ -3,6 +3,7 @@ package eu.dnetlib.dhp.collection;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.model.mdstore.MetadataRecord;
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import eu.dnetlib.dhp.model.mdstore.Provenance;
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import org.apache.commons.cli.*;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.hadoop.io.IntWritable;
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import org.apache.hadoop.io.Text;
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@ -19,6 +20,7 @@ import org.dom4j.Node;
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import org.dom4j.io.SAXReader;
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import java.io.ByteArrayInputStream;
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import java.nio.charset.StandardCharsets;
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import java.util.Objects;
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public class GenerateNativeStoreSparkJob {
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@ -30,7 +32,7 @@ public class GenerateNativeStoreSparkJob {
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totalItems.add(1);
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try {
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SAXReader reader = new SAXReader();
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Document document = reader.read(new ByteArrayInputStream(input.getBytes("UTF-8")));
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Document document = reader.read(new ByteArrayInputStream(input.getBytes(StandardCharsets.UTF_8)));
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Node node = document.selectSingleNode(xpath);
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final String originalIdentifier = node.getText();
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if (StringUtils.isBlank(originalIdentifier)) {
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@ -49,22 +51,64 @@ public class GenerateNativeStoreSparkJob {
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}
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public static void main(String[] args) throws Exception {
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if (args == null || args.length != 6)
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//TODO Create a DHPWFException
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throw new Exception("unexpected number of parameters ");
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Options options = new Options();
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options.addOption(Option.builder("e")
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.longOpt("encoding")
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.required(true)
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.desc("the encoding type should be xml or json")
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.hasArg() // This option has an argument.
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.build());
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options.addOption(Option.builder("d")
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.longOpt("dateOfCollection")
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.required(true)
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.desc("the date of collection")
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.hasArg() // This option has an argument.
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.build());
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final String encoding = args[0];
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final long dateOfCollection = Long.valueOf(args[1]);
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final String jsonProvenance = args[2];
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options.addOption(Option.builder("p")
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.longOpt("provenance")
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.required(true)
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.desc("the json Provenance information")
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.hasArg() // This option has an argument.
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.build());
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options.addOption(Option.builder("x")
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.longOpt("xpath")
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.required(true)
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.desc("xpath of the identifier")
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.hasArg() // This option has an argument.
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.build());
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options.addOption(Option.builder("i")
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.longOpt("input")
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.required(true)
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.desc("input path of the sequence file")
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.hasArg() // This option has an argument.
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.build());
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options.addOption(Option.builder("o")
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.longOpt("output")
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.required(true)
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.desc("output path of the mdstore")
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.hasArg()
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.build());
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CommandLineParser parser = new DefaultParser();
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CommandLine cmd = parser.parse( options, args);
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final String encoding = cmd.getOptionValue("e");
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final long dateOfCollection = new Long(cmd.getOptionValue("d"));
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final String jsonProvenance = cmd.getOptionValue("p");
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final ObjectMapper jsonMapper = new ObjectMapper();
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final Provenance provenance = jsonMapper.readValue(jsonProvenance, Provenance.class);
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final String xpath = args[3];
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final String inputPath = args[4];
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final String outputPath = args[5];
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final String xpath = cmd.getOptionValue("x");
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final String inputPath = cmd.getOptionValue("i");
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final String outputPath = cmd.getOptionValue("o");
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final SparkSession spark = SparkSession
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.builder()
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@ -85,21 +129,11 @@ public class GenerateNativeStoreSparkJob {
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final Encoder<MetadataRecord> encoder = Encoders.bean(MetadataRecord.class);
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final Dataset<MetadataRecord> mdstore = spark.createDataset(mappeRDD.rdd(), encoder);
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final LongAccumulator mdStoreRecords = sc.sc().longAccumulator("MDStoreRecords");
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mdStoreRecords.add(mdstore.count());
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System.out.println("totalItems.value() = " + totalItems.value());
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System.out.println("invalidRecords = " + invalidRecords.value());
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System.out.println("mdstoreRecords.value() = " + mdStoreRecords.value());
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mdstore.write().format("parquet").save(outputPath);
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}
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}
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@ -1,32 +1,66 @@
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<workflow-app name="Oozie_Java_Wf" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>sequenceFilePath</name>
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<description>the path to store the sequence file of the native metadata collected</description>
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</property>
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<property>
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<name>mdStorePath</name>
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<description>the path of the native mdstore</description>
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</property>
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<property>
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<name>apiDescription</name>
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<description>A json encoding of the API Description class</description>
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</property>
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<property>
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<name>dataSourceInfo</name>
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<description>A json encoding of the Datasource Info</description>
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</property>
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<property>
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<name>identifierPath</name>
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<description>An xpath to retrieve the metadata idnentifier for the generation of DNet Identifier </description>
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</property>
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<property>
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<name>metadataEncoding</name>
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<description> The type of the metadata XML/JSON</description>
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</property>
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<property>
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<name>timestamp</name>
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<description>The timestamp of the collection date</description>
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</property>
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</parameters>
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<start to="DeleteMDStoresNative"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="DeleteMDStoresNative">
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<fs>
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<delete path='/user/sandro.labruzzo/mdstores/oai_1'/>
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<delete path='${sequenceFilePath}'/>
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<delete path='${mdStorePath}'/>
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</fs>
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<ok to="CollectionWorker"/>
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<error to="Kill"/>
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</action>
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<action name="CollectionWorker">
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<shell xmlns="uri:oozie:shell-action:0.1">
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<exec>lib/dhp-collector-worker-1.0.0.jar</exec>
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<argument>/user/sandro.labruzzo/mdstores/oai_1</argument>
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<argument>{"id":"oai","baseUrl":"http://www.revista.vocesdelaeducacion.com.mx/index.php/index/oai","protocol":"oai","params":{"format":"oai_dc"}}</argument>
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<argument>${sequenceFilePath}</argument>
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<argument>${apiDescription}</argument>
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<argument>${nameNode}</argument>
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<capture-output/>
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</shell>
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<ok to="mdBuilder"/>
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<error to="Kill"/>
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</action>
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<action name="mdBuilder">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<job-tracker>${jobTracker}</job-tracker>
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@ -37,17 +71,15 @@
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<class>eu.dnetlib.dhp.collection.GenerateNativeStoreSparkJob</class>
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<jar>dhp-aggregations-1.0.0-SNAPSHOT.jar</jar>
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<spark-opts>--num-executors 50 --conf spark.yarn.jars="hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2"</spark-opts>
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<arg>XML</arg>
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<arg>1000</arg>
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<arg>{"datasourceId":"pippo","datasourceName":"puppa","nsPrefix":"ns_prefix"}</arg>
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<arg>./*[local-name()='record']/*[local-name()='header']/*[local-name()='identifier']</arg>
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<arg>/user/sandro.labruzzo/mdstores/oai_1</arg>
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<arg>/user/sandro.labruzzo/mdstores/mdstore_1</arg>
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<arg>--encoding</arg> <arg>${metadataEncoding}</arg>
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<arg>--dateOfCollection</arg> <arg>${timestamp}</arg>
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<arg>--provenance</arg> <arg> ${dataSourceInfo}</arg>
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<arg>--xpath</arg><arg>${identifierPath}</arg>
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<arg>--input</arg><arg>${sequenceFilePath}</arg>
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<arg>--output</arg><arg>${mdStorePath}</arg>
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</spark>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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<end name="End"/>
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</workflow-app>
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