/**
* DataCleaner (community edition)
* Copyright (C) 2014 Neopost - Customer Information Management
*
* This copyrighted material is made available to anyone wishing to use, modify,
* copy, or redistribute it subject to the terms and conditions of the GNU
* Lesser General Public License, as published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
* for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this distribution; if not, write to:
* Free Software Foundation, Inc.
* 51 Franklin Street, Fifth Floor
* Boston, MA 02110-1301 USA
*/
package org.datacleaner.beans.stringpattern;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.datacleaner.api.AnalyzerResult;
import org.datacleaner.api.Distributed;
import org.datacleaner.api.InputColumn;
import org.datacleaner.api.Metric;
import org.datacleaner.reference.SimpleStringPattern;
import org.datacleaner.result.Crosstab;
import org.datacleaner.result.CrosstabDimension;
import org.datacleaner.result.QueryParameterizableMetric;
/**
* Represents the result of the {@link PatternFinderAnalyzer}.
*
* A pattern finder result has two basic forms: Grouped or ungrouped. To find
* out which type a particular instance has, use the
* {@link #isGroupingEnabled()} method.
*
* Ungrouped results only contain a single/global crosstab. A grouped result
* contain multiple crosstabs, based on groups.
*
*
*/
@Distributed(reducer = PatternFinderResultReducer.class)
public class PatternFinderResult implements AnalyzerResult {
private static final long serialVersionUID = 1L;
private final InputColumn<String> _column;
private final InputColumn<String> _groupColumn;
private final Map<String, Crosstab<?>> _crosstabs;
private final TokenizerConfiguration _tokenizerConfiguration;
public PatternFinderResult(final InputColumn<String> column, final Crosstab<?> crosstab,
final TokenizerConfiguration tokenizerConfiguration) {
_column = column;
_groupColumn = null;
_crosstabs = new HashMap<>();
_crosstabs.put(null, crosstab);
_tokenizerConfiguration = tokenizerConfiguration;
}
public PatternFinderResult(final InputColumn<String> column, final InputColumn<String> groupColumn,
final Map<String, Crosstab<?>> crosstabs, final TokenizerConfiguration tokenizerConfiguration) {
_column = column;
_groupColumn = groupColumn;
_crosstabs = crosstabs;
_tokenizerConfiguration = tokenizerConfiguration;
}
public TokenizerConfiguration getTokenizerConfiguration() {
return _tokenizerConfiguration;
}
public InputColumn<String> getColumn() {
return _column;
}
public InputColumn<String> getGroupColumn() {
return _groupColumn;
}
public Map<String, Crosstab<?>> getGroupedCrosstabs() {
if (!isGroupingEnabled()) {
throw new IllegalStateException("This result is not a grouped crosstab based Pattern Finder result");
}
return _crosstabs;
}
public Crosstab<?> getSingleCrosstab() {
if (isGroupingEnabled()) {
throw new IllegalStateException("This result is not a single crosstab based Pattern Finder result");
}
return _crosstabs.get(null);
}
public boolean isGroupingEnabled() {
return _groupColumn != null;
}
@Metric(value = "Match count", supportsInClause = true)
public QueryParameterizableMetric getMatchCount() {
return new QueryParameterizableMetric() {
@Override
protected int getInstanceCount(final String instance) {
return getMatchCount(instance);
}
@Override
protected int getTotalCount() {
return PatternFinderResult.this.getTotalCount();
}
@Override
public Collection<String> getParameterSuggestions() {
final Crosstab<?> crosstab = getSingleCrosstab();
final CrosstabDimension patternDimension =
crosstab.getDimension(PatternFinderAnalyzer.DIMENSION_NAME_PATTERN);
return patternDimension.getCategories();
}
};
}
private int getTotalCount() {
int sum = 0;
final Crosstab<?> crosstab = getSingleCrosstab();
final CrosstabDimension patternDimension = crosstab.getDimension(PatternFinderAnalyzer.DIMENSION_NAME_PATTERN);
final List<String> categories = patternDimension.getCategories();
for (final String category : categories) {
final Object value = crosstab.where(patternDimension, category)
.where(PatternFinderAnalyzer.DIMENSION_NAME_MEASURES, PatternFinderAnalyzer.MEASURE_MATCH_COUNT)
.get();
if (value instanceof Number) {
sum += ((Number) value).intValue();
}
}
return sum;
}
public int getMatchCount(final String pattern) {
final Crosstab<?> crosstab = getSingleCrosstab();
final CrosstabDimension patternDimension = crosstab.getDimension(PatternFinderAnalyzer.DIMENSION_NAME_PATTERN);
final List<String> categories = patternDimension.getCategories();
for (final String category : categories) {
final SimpleStringPattern stringPattern =
new SimpleStringPattern(category, category, _tokenizerConfiguration);
if (stringPattern.matches(pattern)) {
final Object value = crosstab.where(patternDimension, category)
.where(PatternFinderAnalyzer.DIMENSION_NAME_MEASURES, PatternFinderAnalyzer.MEASURE_MATCH_COUNT)
.get();
if (value instanceof Number) {
return ((Number) value).intValue();
}
}
}
return 0;
}
@Metric("Pattern count")
public int getPatternCount() {
return getSingleCrosstab().getDimension(PatternFinderAnalyzer.DIMENSION_NAME_PATTERN).getCategoryCount();
}
}