import org.apache.lucene.benchmark.quality.utils.SubmissionReport; //导入依赖的package包/类
/**
 * Run the quality benchmark.
 * @param judge the judge that can tell if a certain result doc is relevant for a certain quality query. 
 *        If null, no judgements would be made. Usually null for a submission run. 
 * @param submitRep submission report is created if non null.
 * @param qualityLog If not null, quality run data would be printed for each query.
 * @return QualityStats of each quality query that was executed.
 * @throws Exception if quality benchmark failed to run.
 */
public  QualityStats [] execute(Judge judge, SubmissionReport submitRep, 
                                PrintWriter qualityLog) throws Exception {
  int nQueries = Math.min(maxQueries, qualityQueries.length);
  QualityStats stats[] = new QualityStats[nQueries]; 
  for (int i=0; i<nQueries; i++) {
    QualityQuery qq = qualityQueries[i];
    // generate query
    Query q = qqParser.parse(qq);
    // search with this query 
    long t1 = System.currentTimeMillis();
    TopDocs td = searcher.search(q,null,maxResults);
    long searchTime = System.currentTimeMillis()-t1;
    //most likely we either submit or judge, but check both 
    if (judge!=null) {
      stats[i] = analyzeQueryResults(qq, q, td, judge, qualityLog, searchTime);
    }
    if (submitRep!=null) {
      submitRep.report(qq,td,docNameField,searcher);
    }
  } 
  if (submitRep!=null) {
    submitRep.flush();
  }
  return stats;
}
 

import org.apache.lucene.benchmark.quality.utils.SubmissionReport; //导入依赖的package包/类
public static void main(String[] args) throws Exception {
  if (args.length < 4 || args.length > 5) {
    System.err.println("Usage: QueryDriver <topicsFile> <qrelsFile> <submissionFile> <indexDir> [querySpec]");
    System.err.println("topicsFile: input file containing queries");
    System.err.println("qrelsFile: input file containing relevance judgements");
    System.err.println("submissionFile: output submission file for trec_eval");
    System.err.println("indexDir: index directory");
    System.err.println("querySpec: string composed of fields to use in query consisting of T=title,D=description,N=narrative:");
    System.err.println("\texample: TD (query on Title + Description). The default is T (title only)");
    System.exit(1);
  }
  
  File topicsFile = new File(args[0]);
  File qrelsFile = new File(args[1]);
  SubmissionReport submitLog = new SubmissionReport(new PrintWriter(args[2], IOUtils.UTF_8 /* huh, no nio.Charset ctor? */), "lucene");
  FSDirectory dir = FSDirectory.open(new File(args[3]));
  String fieldSpec = args.length == 5 ? args[4] : "T"; // default to Title-only if not specified.
  IndexReader reader = DirectoryReader.open(dir);
  IndexSearcher searcher = new IndexSearcher(reader);

  int maxResults = 1000;
  String docNameField = "docname";

  PrintWriter logger = new PrintWriter(new OutputStreamWriter(System.out, Charset.defaultCharset()), true);

  // use trec utilities to read trec topics into quality queries
  TrecTopicsReader qReader = new TrecTopicsReader();
  QualityQuery qqs[] = qReader.readQueries(new BufferedReader(IOUtils.getDecodingReader(topicsFile, StandardCharsets.UTF_8)));

  // prepare judge, with trec utilities that read from a QRels file
  Judge judge = new TrecJudge(new BufferedReader(IOUtils.getDecodingReader(qrelsFile, StandardCharsets.UTF_8)));

  // validate topics & judgments match each other
  judge.validateData(qqs, logger);

  Set<String> fieldSet = new HashSet<>();
  if (fieldSpec.indexOf('T') >= 0) fieldSet.add("title");
  if (fieldSpec.indexOf('D') >= 0) fieldSet.add("description");
  if (fieldSpec.indexOf('N') >= 0) fieldSet.add("narrative");
  
  // set the parsing of quality queries into Lucene queries.
  QualityQueryParser qqParser = new SimpleQQParser(fieldSet.toArray(new String[0]), "body");

  // run the benchmark
  QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, searcher, docNameField);
  qrun.setMaxResults(maxResults);
  QualityStats stats[] = qrun.execute(judge, submitLog, logger);

  // print an avarage sum of the results
  QualityStats avg = QualityStats.average(stats);
  avg.log("SUMMARY", 2, logger, "  ");
  reader.close();
  dir.close();
}
 

import org.apache.lucene.benchmark.quality.utils.SubmissionReport; //导入依赖的package包/类
public static void main(String[] args) throws Exception {
  if (args.length < 4 || args.length > 5) {
    System.err.println("Usage: QueryDriver <topicsFile> <qrelsFile> <submissionFile> <indexDir> [querySpec]");
    System.err.println("topicsFile: input file containing queries");
    System.err.println("qrelsFile: input file containing relevance judgements");
    System.err.println("submissionFile: output submission file for trec_eval");
    System.err.println("indexDir: index directory");
    System.err.println("querySpec: string composed of fields to use in query consisting of T=title,D=description,N=narrative:");
    System.err.println("\texample: TD (query on Title + Description). The default is T (title only)");
    System.exit(1);
  }
  
  File topicsFile = new File(args[0]);
  File qrelsFile = new File(args[1]);
  SubmissionReport submitLog = new SubmissionReport(new PrintWriter(args[2], "UTF-8"), "lucene");
  FSDirectory dir = FSDirectory.open(new File(args[3]));
  String fieldSpec = args.length == 5 ? args[4] : "T"; // default to Title-only if not specified.
  IndexReader reader = DirectoryReader.open(dir);
  IndexSearcher searcher = new IndexSearcher(reader);

  int maxResults = 1000;
  String docNameField = "docname";

  PrintWriter logger = new PrintWriter(new OutputStreamWriter(System.out, Charset.defaultCharset()), true);

  // use trec utilities to read trec topics into quality queries
  TrecTopicsReader qReader = new TrecTopicsReader();
  QualityQuery qqs[] = qReader.readQueries(new BufferedReader(IOUtils.getDecodingReader(topicsFile, IOUtils.CHARSET_UTF_8)));

  // prepare judge, with trec utilities that read from a QRels file
  Judge judge = new TrecJudge(new BufferedReader(IOUtils.getDecodingReader(qrelsFile, IOUtils.CHARSET_UTF_8)));

  // validate topics & judgments match each other
  judge.validateData(qqs, logger);

  Set<String> fieldSet = new HashSet<String>();
  if (fieldSpec.indexOf('T') >= 0) fieldSet.add("title");
  if (fieldSpec.indexOf('D') >= 0) fieldSet.add("description");
  if (fieldSpec.indexOf('N') >= 0) fieldSet.add("narrative");
  
  // set the parsing of quality queries into Lucene queries.
  QualityQueryParser qqParser = new SimpleQQParser(fieldSet.toArray(new String[0]), "body");

  // run the benchmark
  QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, searcher, docNameField);
  qrun.setMaxResults(maxResults);
  QualityStats stats[] = qrun.execute(judge, submitLog, logger);

  // print an avarage sum of the results
  QualityStats avg = QualityStats.average(stats);
  avg.log("SUMMARY", 2, logger, "  ");
  reader.close();
  dir.close();
}
 

import org.apache.lucene.benchmark.quality.utils.SubmissionReport; //导入依赖的package包/类
public static void main(String[] args) throws Throwable {

        File topicsFile = new File("aos/lucene/benchmark/topics.txt");
        File qrelsFile = new File("aos/lucene/benchmark/qrels.txt");
        Directory dir = FSDirectory.open(new File("indexes/MeetLucene"));
        IndexReader reader = DirectoryReader.open(dir);
        IndexSearcher searcher = new IndexSearcher(reader);

        String docNameField = "filename";

        PrintWriter LOGGER = new PrintWriter(System.out, true);

        TrecTopicsReader qReader = new TrecTopicsReader();
        QualityQuery qqs[] = qReader.readQueries(new BufferedReader(new FileReader(topicsFile)));

        Judge judge = new TrecJudge(new BufferedReader(new FileReader(qrelsFile)));

        judge.validateData(qqs, LOGGER);

        QualityQueryParser qqParser = new SimpleQQParser("title", "contents");

        QualityBenchmark qrun = new QualityBenchmark(qqs, qqParser, searcher, docNameField);
        SubmissionReport submitLog = null;
        QualityStats stats[] = qrun.execute(judge, submitLog, LOGGER);

        QualityStats avg = QualityStats.average(stats);
        avg.log("SUMMARY", 2, LOGGER, "  ");

        dir.close();

    }