vincentchenjl commented on a change in pull request #5398: URL: https://github.com/apache/incubator-pinot/pull/5398#discussion_r428858170
########## File path: thirdeye/thirdeye-pinot/src/main/java/org/apache/pinot/thirdeye/detection/dataquality/components/DataSlaQualityChecker.java ########## @@ -0,0 +1,216 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +package org.apache.pinot.thirdeye.detection.dataquality.components; + +import com.google.common.collect.ArrayListMultimap; +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import org.apache.commons.lang3.StringUtils; +import org.apache.pinot.thirdeye.anomaly.AnomalyType; +import org.apache.pinot.thirdeye.common.time.TimeGranularity; +import org.apache.pinot.thirdeye.constant.AnomalyResultSource; +import org.apache.pinot.thirdeye.dataframe.DataFrame; +import org.apache.pinot.thirdeye.dataframe.util.MetricSlice; +import org.apache.pinot.thirdeye.datalayer.dto.DatasetConfigDTO; +import org.apache.pinot.thirdeye.datalayer.dto.MergedAnomalyResultDTO; +import org.apache.pinot.thirdeye.detection.DetectionUtils; +import org.apache.pinot.thirdeye.detection.InputDataFetcher; +import org.apache.pinot.thirdeye.detection.annotation.Components; +import org.apache.pinot.thirdeye.detection.annotation.DetectionTag; +import org.apache.pinot.thirdeye.detection.annotation.Param; +import org.apache.pinot.thirdeye.detection.annotation.PresentationOption; +import org.apache.pinot.thirdeye.detection.dataquality.spec.DataSlaQualityCheckerSpec; +import org.apache.pinot.thirdeye.detection.spi.components.AnomalyDetector; +import org.apache.pinot.thirdeye.detection.spi.components.BaselineProvider; +import org.apache.pinot.thirdeye.detection.spi.model.DetectionResult; +import org.apache.pinot.thirdeye.detection.spi.model.InputData; +import org.apache.pinot.thirdeye.detection.spi.model.InputDataSpec; +import org.apache.pinot.thirdeye.detection.spi.model.TimeSeries; +import org.apache.pinot.thirdeye.rootcause.impl.MetricEntity; +import org.joda.time.DateTime; +import org.joda.time.DateTimeZone; +import org.joda.time.Interval; +import org.joda.time.Period; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + + +/** + * Performs data sla checks for the window and generates DATA_SLA anomalies. + * + * Data SLA is verified based on the following information. + * a. The dataset refresh timestamp updated by the event based data availability pipeline (if applicable). + * b. Otherwise, we will query the data source and run sla checks. + */ +@Components(title = "Data Sla Quality Checker", + type = "DATA_SLA", + tags = {DetectionTag.RULE_DETECTION}, + description = "Checks if data is missing or not based on the configured sla", + presentation = { + @PresentationOption(name = "data sla", template = "is ${sla}") + }, + params = { + @Param(name = "sla", placeholder = "value") + }) +public class DataSlaQualityChecker implements AnomalyDetector<DataSlaQualityCheckerSpec>, BaselineProvider<DataSlaQualityCheckerSpec> { + private static final Logger LOG = LoggerFactory.getLogger(DataSlaQualityChecker.class); + + private String sla; + private InputDataFetcher dataFetcher; + private final String DEFAULT_DATA_SLA = "3_DAYS"; Review comment: Should we use Duration or TimeGranularity instead of String, since we are converting it anyway? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@pinot.apache.org For additional commands, e-mail: commits-h...@pinot.apache.org
