/**
* Available for testing, but anomalies need to be created with a valid anomaly function ID
* (foreign key constraint).
*/
public void runAdhocFile(
String filePath,
int existingFunctionId,
String windowStartIsoString,
String windowEndIsoString)
throws Exception {
synchronized (sync) {
File file = new File(filePath);
if (!file.exists() || file.isDirectory()) {
throw new IllegalArgumentException("File does not exist or is a directory: " + file);
}
AnomalyFunctionSpec spec = reader.readValue(file, AnomalyFunctionSpec.class);
spec.setId(existingFunctionId);
runAdhocConfig(spec, windowStartIsoString, windowEndIsoString, filePath);
}
}
public void runAdHoc(Long id, String windowStartIsoString, String windowEndIsoString)
throws Exception {
synchronized (sync) {
AnomalyFunctionSpec spec = specDAO.findById(id);
if (spec == null) {
throw new IllegalArgumentException("No function with id " + id);
}
AnomalyFunction anomalyFunction = anomalyFunctionFactory.fromSpec(spec);
String triggerKey = String.format("ad_hoc_anomaly_function_trigger_%d", spec.getId());
Trigger trigger = TriggerBuilder.newTrigger().withIdentity(triggerKey).startNow().build();
String jobKey = String.format("ad_hoc_anomaly_function_job_%d", spec.getId());
buildAndScheduleJob(
jobKey, trigger, anomalyFunction, spec, windowStartIsoString, windowEndIsoString);
}
}
private void handleResults(List<AnomalyResult> results) {
Session session = sessionFactory.openSession();
try {
ManagedSessionContext.bind(session);
Transaction transaction = session.beginTransaction();
try {
for (AnomalyResult result : results) {
// Properties that always come from the function spec
AnomalyFunctionSpec spec = anomalyFunction.getSpec();
result.setFunctionId(spec.getId());
result.setFunctionType(spec.getType());
result.setFunctionProperties(spec.getProperties());
result.setCollection(spec.getCollection());
result.setMetric(spec.getMetric());
result.setFilters(spec.getFilters());
// make sure score and weight are valid numbers
result.setScore(normalize(result.getScore()));
result.setWeight(normalize(result.getWeight()));
resultDAO.createOrUpdate(result);
}
transaction.commit();
} catch (Exception e) {
transaction.rollback();
throw new RuntimeException(e);
}
} finally {
session.close();
ManagedSessionContext.unbind(sessionFactory);
}
}
public void start(Long id) throws Exception {
synchronized (sync) {
AnomalyFunctionSpec spec = specDAO.findById(id);
if (spec == null) {
throw new IllegalArgumentException("No function with id " + id);
}
AnomalyFunction anomalyFunction = anomalyFunctionFactory.fromSpec(spec);
String triggerKey = String.format("scheduled_anomaly_function_trigger_%d", spec.getId());
CronTrigger trigger =
TriggerBuilder.newTrigger()
.withIdentity(triggerKey)
.withSchedule(CronScheduleBuilder.cronSchedule(spec.getCron()))
.build();
String jobKey = String.format("scheduled_anomaly_function_job_%d", spec.getId());
scheduledJobKeys.put(id, jobKey);
buildAndScheduleJob(jobKey, trigger, anomalyFunction, spec, null, null); // use schedule time
// to determine
// start/end
}
}
public List<TaskResult> execute(TaskInfo taskInfo, TaskContext taskContext) throws Exception {
List<TaskResult> taskResult = new ArrayList<>();
LOG.info("Begin executing task {}", taskInfo);
resultDAO = taskContext.getResultDAO();
relationDAO = taskContext.getRelationDAO();
sessionFactory = taskContext.getSessionFactory();
anomalyFunctionFactory = taskContext.getAnomalyFunctionFactory();
anomalyFunctionSpec = taskInfo.getAnomalyFunctionSpec();
anomalyFunction = anomalyFunctionFactory.fromSpec(anomalyFunctionSpec);
windowStart = taskInfo.getWindowStartTime();
windowEnd = taskInfo.getWindowEndTime();
// Compute metric function
TimeGranularity timeGranularity =
new TimeGranularity(
anomalyFunctionSpec.getBucketSize(), anomalyFunctionSpec.getBucketUnit());
// TODO put sum into the function config
metricFunction = new MetricFunction(MetricAggFunction.SUM, anomalyFunctionSpec.getMetric());
// Collection
collection = anomalyFunctionSpec.getCollection();
// Filters
String filters = anomalyFunctionSpec.getFilters();
LOG.info(
"Running anomaly detection job with metricFunction: {}, collection: {}",
metricFunction,
collection);
CollectionSchema collectionSchema = null;
try {
collectionSchema = CACHE_REGISTRY_INSTANCE.getCollectionSchemaCache().get(collection);
} catch (Exception e) {
LOG.error("Exception when reading collection schema cache", e);
}
collectionDimensions = collectionSchema.getDimensionNames();
// Get existing anomalies for this time range
knownAnomalies = getExistingAnomalies();
// Seed request with top-level...
TimeSeriesRequest topLevelRequest = new TimeSeriesRequest();
topLevelRequest.setCollectionName(collection);
List<MetricFunction> metricFunctions = Collections.singletonList(metricFunction);
List<MetricExpression> metricExpressions = Utils.convertToMetricExpressions(metricFunctions);
topLevelRequest.setMetricExpressions(metricExpressions);
topLevelRequest.setAggregationTimeGranularity(timeGranularity);
topLevelRequest.setStart(windowStart);
topLevelRequest.setEnd(windowEnd);
topLevelRequest.setEndDateInclusive(false);
if (StringUtils.isNotBlank(filters)) {
topLevelRequest.setFilterSet(ThirdEyeUtils.getFilterSet(filters));
}
String exploreDimension = taskInfo.getGroupByDimension();
if (StringUtils.isNotBlank(exploreDimension)) {
topLevelRequest.setGroupByDimensions(
Collections.singletonList(taskInfo.getGroupByDimension()));
}
LOG.info(
"Running anomaly detection job with windowStartProp: {}, windowEndProp: {}, metricExpressions: {}, timeGranularity: {}, windowStart: {}, windowEnd: {}",
windowStart,
windowEnd,
metricExpressions,
timeGranularity);
List<AnomalyResult> results = exploreCombination(topLevelRequest);
LOG.info("{} anomalies found in total", anomalyCounter);
return taskResult;
}
