HOL-master/examples/lassie/sempre/src/edu/stanford/nlp/sempre/tables/alter/AggregatedTurkData.java
package edu.stanford.nlp.sempre.tables.alter;

import java.io.*;
import java.util.*;

import edu.stanford.nlp.sempre.DescriptionValue;
import edu.stanford.nlp.sempre.ListValue;
import edu.stanford.nlp.sempre.TargetValuePreprocessor;
import edu.stanford.nlp.sempre.Value;
import edu.stanford.nlp.sempre.tables.StringNormalizationUtils;
import fig.basic.LogInfo;
import fig.basic.MapUtils;

/**
 * Read aggregated Turked results from TSV file.
 *
 * File format:
 * - HIT ID
 * - Example ID
 * - Alter table index
 * - Flag (A2/A3 = agreed on an answer, B2/B3 = agreed on "no answer", X = disagreed)
 * - Agreed answer (blank for B or X)
 * - Individual answers; come in pairs of (worker id, answer) -- not used here
 *
 * @author ppasupat
 */
public class AggregatedTurkData {

  /**
   * Map from Example ID -> altered table index -> agreed response
   */
  Map<String, Map<Integer, Value>> data = new HashMap<>();

  /**
   * List of all tables used regardless of agreement
   */
  Map<String, List<Integer>> allTurkedTables = new HashMap<>();

  public AggregatedTurkData() { }

  public AggregatedTurkData(String filename) {
    addFromFile(filename);
  }

  public AggregatedTurkData addFromFile(String filename) {
    LogInfo.begin_track("Reading Turked data from %s", filename);
    try (BufferedReader reader = new BufferedReader(new FileReader(filename))) {
      int count = 0;
      String line;
      while ((line = reader.readLine()) != null) {
        String[] tokens = line.split("\t");
        String exampleId = tokens[1];
        int alteredTableIndex = Integer.parseInt(tokens[2]);
        MapUtils.addToList(allTurkedTables, exampleId, alteredTableIndex);
        char flagCode = tokens[3].charAt(0);
        if (flagCode != 'A' && flagCode != 'B') continue;
        String response = tokens[4];
        Value canonicalized = toValue(response);
        MapUtils.set(data, exampleId, alteredTableIndex, canonicalized);
        count++;
      }
      LogInfo.logs("Read %d records", count);
    } catch (IOException e) {
      throw new RuntimeException(e);
    }
    LogInfo.end_track();
    return this;
  }

  public Map<Integer, Value> get(String exampleId) {
    return data.get(exampleId);
  }

  public Value get(String exampleId, int alteredTableIndex) {
    return MapUtils.get(data, exampleId, alteredTableIndex, null);
  }

  /**
   * Get all Turked tables regardless of whether the answer is agreed upon.
   */
  public List<Integer> getAllTurkedTables(String exampleId) {
    return allTurkedTables.get(exampleId);
  }

  /**
   * Return canonicalized Value.
   */
  private Value toValue(String response) {
    if (response.isEmpty()) {
      // TODO: Distinguish empty list from ERROR
      return ValueCanonicalizer.ERROR;
    }
    List<Value> values = new ArrayList<>();
    for (String x : response.split("\\|"))
      values.add(new DescriptionValue(StringNormalizationUtils.unescapeTSV(x)));
    return TargetValuePreprocessor.getSingleton().preprocess(new ListValue(values), null);
  }

}
