public void testScenario() throws Throwable {
final AnalysisJob job;
try (DatastoreConnection connection = datastore.openConnection(); ) {
final DataContext dataContext = connection.getDataContext();
final Table table = dataContext.getTableByQualifiedLabel("PUBLIC.CUSTOMERS");
final Row row =
MetaModelHelper.executeSingleRowQuery(
dataContext, dataContext.query().from(table).selectCount().toQuery());
assertEquals(recordsInTable, ((Number) row.getValue(0)).intValue());
try (AnalysisJobBuilder jobBuilder = new AnalysisJobBuilder(configuration)) {
jobBuilder.setDatastore(datastore);
jobBuilder.addSourceColumns("CUSTOMERS.CONTACTFIRSTNAME");
jobBuilder.addSourceColumns("CUSTOMERS.CONTACTLASTNAME");
// although not semantically correct, we pretend that EVEN is
// the
// success-state in our cleansing street and that ODD is the
// reject-state.
final Category valid = org.datacleaner.test.mock.EvenOddFilter.Category.EVEN;
final Category invalid = org.datacleaner.test.mock.EvenOddFilter.Category.ODD;
final TransformerComponentBuilder<MockTransformer> trans1 =
jobBuilder.addTransformer(MockTransformer.class);
trans1.setName("trans1");
trans1.addInputColumn(jobBuilder.getSourceColumns().get(0));
final FilterComponentBuilder<
EvenOddFilter, org.datacleaner.test.mock.EvenOddFilter.Category>
filter1 = jobBuilder.addFilter(EvenOddFilter.class);
filter1.setName("filter1");
filter1.addInputColumn(trans1.getOutputColumns().get(0));
final TransformerComponentBuilder<MockTransformer> trans2 =
jobBuilder.addTransformer(MockTransformer.class);
trans2.setName("trans2");
trans2.addInputColumn(jobBuilder.getSourceColumns().get(1));
trans2.setRequirement(filter1, valid);
final FilterComponentBuilder<
EvenOddFilter, org.datacleaner.test.mock.EvenOddFilter.Category>
filter2 = jobBuilder.addFilter(EvenOddFilter.class);
filter2.setName("filter2");
filter2.addInputColumn(trans2.getOutputColumns().get(0));
final AnalyzerComponentBuilder<MockAnalyzer> analyzer1 =
jobBuilder.addAnalyzer(MockAnalyzer.class);
analyzer1.setName("success");
analyzer1.addInputColumn(jobBuilder.getSourceColumns().get(0));
analyzer1.addInputColumn(jobBuilder.getSourceColumns().get(1));
analyzer1.addInputColumn(trans1.getOutputColumns().get(0));
analyzer1.addInputColumn(trans2.getOutputColumns().get(0));
analyzer1.setRequirement(filter2, valid);
final FilterOutcome invalid1 = filter1.getFilterOutcome(invalid);
final FilterOutcome invalid2 = filter2.getFilterOutcome(invalid);
final AnalyzerComponentBuilder<MockAnalyzer> analyzer2 =
jobBuilder.addAnalyzer(MockAnalyzer.class);
analyzer2.setName("rejects");
analyzer2.addInputColumn(jobBuilder.getSourceColumns().get(0));
analyzer2.addInputColumn(jobBuilder.getSourceColumns().get(1));
analyzer2.setComponentRequirement(new CompoundComponentRequirement(invalid1, invalid2));
job = jobBuilder.toAnalysisJob();
}
}
final AnalysisRunner runner = new AnalysisRunnerImpl(configuration);
final AnalysisResultFuture resultFuture = runner.run(job);
resultFuture.await();
if (resultFuture.isErrornous()) {
throw resultFuture.getErrors().get(0);
}
int recordsInResults = 0;
final Map<ComponentJob, AnalyzerResult> map = resultFuture.getResultMap();
for (Entry<ComponentJob, AnalyzerResult> entry : map.entrySet()) {
final ComponentJob componentJob = entry.getKey();
@SuppressWarnings("unchecked")
final ListResult<InputRow> result = (ListResult<InputRow>) entry.getValue();
final List<InputRow> values = result.getValues();
final int recordsInResult = values.size();
recordsInResults += recordsInResult;
switch (componentJob.getName()) {
case "success":
case "rejects":
// expected states
assertTrue(
"Expected records in all buckets of the cleansing street, but did not find any in: "
+ componentJob,
recordsInResult > 0);
assertTrue(
"Expected records to be distributed across buckets, but found all in: "
+ componentJob,
recordsInResult != recordsInTable);
break;
default:
fail("Unexpected component in result map: " + componentJob);
}
}
assertEquals(recordsInTable, recordsInResults);
}
public void testParseAndAssignDictionaries() throws Throwable {
Collection<Dictionary> dictionaries = new ArrayList<Dictionary>();
dictionaries.add(
new SimpleDictionary("eobjects.org products", "MetaModel", "DataCleaner", "AnalyzerBeans"));
dictionaries.add(
new SimpleDictionary(
"apache products", "commons-lang", "commons-math", "commons-codec", "commons-logging"));
dictionaries.add(
new SimpleDictionary(
"logging products", "commons-logging", "log4j", "slf4j", "java.util.Logging"));
Collection<SynonymCatalog> synonymCatalogs = new ArrayList<SynonymCatalog>();
synonymCatalogs.add(
new SimpleSynonymCatalog(
"translated terms",
new SimpleSynonym("hello", "howdy", "hi", "yo", "hey"),
new SimpleSynonym("goodbye", "bye", "see you", "hey")));
Collection<StringPattern> stringPatterns = new ArrayList<StringPattern>();
ReferenceDataCatalogImpl ref =
new ReferenceDataCatalogImpl(dictionaries, synonymCatalogs, stringPatterns);
Datastore datastore = new CsvDatastore("my database", "src/test/resources/projects.csv");
DataCleanerConfigurationImpl conf = new DataCleanerConfigurationImpl();
AnalysisJobBuilder job = new AnalysisJobBuilder(conf);
job.setDatastore(datastore);
job.addSourceColumns("product", "version");
TransformerComponentBuilder<DictionaryMatcherTransformer> tjb1 =
job.addTransformer(DictionaryMatcherTransformer.class);
tjb1.setConfiguredProperty(
"Dictionaries",
new Dictionary[] {
ref.getDictionary("eobjects.org products"),
ref.getDictionary("apache products"),
ref.getDictionary("logging products")
});
tjb1.addInputColumn(job.getSourceColumnByName("product"));
List<MutableInputColumn<?>> outputColumns = tjb1.getOutputColumns();
assertEquals(3, outputColumns.size());
outputColumns.get(0).setName("eobjects match");
outputColumns.get(1).setName("apache match");
outputColumns.get(2).setName("logging match");
TransformerComponentBuilder<ConvertToNumberTransformer> tjb2 =
job.addTransformer(ConvertToNumberTransformer.class);
tjb2.addInputColumn(outputColumns.get(2));
tjb2.getOutputColumns().get(0).setName("logging match -> number");
AnalyzerComponentBuilder<ValueDistributionAnalyzer> ajb =
job.addAnalyzer(ValueDistributionAnalyzer.class);
ajb.addInputColumns(tjb1.getOutputColumns());
ajb.addInputColumns(tjb2.getOutputColumns());
assertTrue(job.isConfigured());
AnalysisJob analysisJob = job.toAnalysisJob();
AnalysisResultFuture resultFuture = new AnalysisRunnerImpl(conf).run(analysisJob);
if (!resultFuture.isSuccessful()) {
job.close();
throw resultFuture.getErrors().get(0);
}
List<AnalyzerResult> results = resultFuture.getResults();
assertEquals(4, results.size());
ValueDistributionAnalyzerResult res = (ValueDistributionAnalyzerResult) results.get(0);
assertEquals("eobjects match", res.getName());
assertEquals(8, res.getCount("true").intValue());
assertEquals(4, res.getCount("false").intValue());
res = (ValueDistributionAnalyzerResult) results.get(1);
assertEquals("apache match", res.getName());
assertEquals(2, res.getCount("true").intValue());
assertEquals(10, res.getCount("false").intValue());
res = (ValueDistributionAnalyzerResult) results.get(2);
assertEquals("logging match", res.getName());
assertEquals(3, res.getCount("true").intValue());
assertEquals(9, res.getCount("false").intValue());
res = (ValueDistributionAnalyzerResult) results.get(3);
assertEquals("logging match -> number", res.getName());
assertEquals(3, res.getCount("1").intValue());
assertEquals(9, res.getCount("0").intValue());
job.close();
}