/*
 * 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.streampipes.processors.statistics.flink.processor.stat.window;

import org.apache.streampipes.client.StreamPipesClient;
import org.apache.streampipes.container.config.ConfigExtractor;
import org.apache.streampipes.model.graph.DataProcessorDescription;
import org.apache.streampipes.model.graph.DataProcessorInvocation;
import org.apache.streampipes.model.schema.PropertyScope;
import org.apache.streampipes.processors.statistics.flink.processor.stat.summary.StatisticsSummaryController;
import org.apache.streampipes.sdk.builder.ProcessingElementBuilder;
import org.apache.streampipes.sdk.builder.StreamRequirementsBuilder;
import org.apache.streampipes.sdk.extractor.ProcessingElementParameterExtractor;
import org.apache.streampipes.sdk.helpers.*;
import org.apache.streampipes.sdk.utils.Assets;
import org.apache.streampipes.vocabulary.Statistics;
import org.apache.streampipes.wrapper.flink.FlinkDataProcessorDeclarer;
import org.apache.streampipes.wrapper.flink.FlinkDataProcessorRuntime;

import java.util.concurrent.TimeUnit;

public class StatisticsSummaryControllerWindow extends
        FlinkDataProcessorDeclarer<StatisticsSummaryParametersWindow> {

  private static final String VALUE_TO_OBSERVE = "value-to-observe";
  private static final String PARTITION_BY = "partition-by";
  private static final String TIMESTAMP_MAPPING = "timestamp-mapping";
  private static final String TIME_WINDOW = "time-window";
  private static final String TIME_SCALE = "time-scale";

  @Override
  public DataProcessorDescription declareModel() {
    return ProcessingElementBuilder.create("org.apache.streampipes.processors.statistics.flink.statistics-summary-window")
            .withLocales(Locales.EN)
            .withAssets(Assets.DOCUMENTATION, Assets.ICON)
            .requiredStream(StreamRequirementsBuilder
                    .create()
                    .requiredPropertyWithUnaryMapping(EpRequirements.numberReq(),
                            Labels.withId(VALUE_TO_OBSERVE), PropertyScope.MEASUREMENT_PROPERTY)
                    .requiredPropertyWithUnaryMapping(EpRequirements.timestampReq(),
                            Labels.withId(TIMESTAMP_MAPPING),
                            PropertyScope.HEADER_PROPERTY)
                    .requiredPropertyWithUnaryMapping(EpRequirements.stringReq(),
                            Labels.withId(PARTITION_BY), PropertyScope.DIMENSION_PROPERTY)
                    .build())
            .requiredIntegerParameter(Labels.withId(TIME_WINDOW))
            .requiredSingleValueSelection(Labels.withId(TIME_SCALE),
                    Options.from("Hours", "Minutes", "Seconds"))
            .outputStrategy(OutputStrategies.fixed(
                    EpProperties.timestampProperty("timestamp"),
                    EpProperties.stringEp(Labels.empty(), "id", "http://schema.org/id"),
                    EpProperties.doubleEp(Labels.empty(), StatisticsSummaryController.MEAN, Statistics.MEAN),
                    EpProperties.doubleEp(Labels.empty(), StatisticsSummaryController.MIN, Statistics.MIN),
                    EpProperties.doubleEp(Labels.empty(), StatisticsSummaryController.MAX, Statistics.MAX),
                    EpProperties.doubleEp(Labels.empty(), StatisticsSummaryController.SUM, Statistics.SUM),
                    EpProperties.doubleEp(Labels.empty(), StatisticsSummaryController.STDDEV, Statistics.STDDEV),
                    EpProperties.doubleEp(Labels.empty(), StatisticsSummaryController.VARIANCE, Statistics.VARIANCE),
                    EpProperties.doubleEp(Labels.empty(), StatisticsSummaryController.N, Statistics.N)))
            .build();
  }

  @Override
  public FlinkDataProcessorRuntime<StatisticsSummaryParametersWindow> getRuntime(DataProcessorInvocation sepa,
                                                                                 ProcessingElementParameterExtractor extractor,
                                                                                 ConfigExtractor configExtractor,
                                                                                 StreamPipesClient streamPipesClient) {

    String valueToObserve = extractor.mappingPropertyValue(VALUE_TO_OBSERVE);
    String timestampMapping = extractor.mappingPropertyValue(TIMESTAMP_MAPPING);

    String groupBy = extractor.mappingPropertyValue(PARTITION_BY);

    int timeWindowSize = extractor.singleValueParameter(TIME_WINDOW, Integer.class);
    String scale = extractor.selectedSingleValue(TIME_SCALE, String.class);

    TimeUnit timeUnit;

    if (scale.equals("Hours")) {
      timeUnit = TimeUnit.HOURS;
    }
    else if (scale.equals("Minutes")) {
      timeUnit = TimeUnit.MINUTES;
    }
    else {
      timeUnit = TimeUnit.SECONDS;
    }

    StatisticsSummaryParametersWindow params = new StatisticsSummaryParametersWindow(sepa,
            valueToObserve, timestampMapping, groupBy, (long) timeWindowSize, timeUnit);

    StatisticsSummaryParamsSerializable serializableParams = new StatisticsSummaryParamsSerializable
            (valueToObserve, timestampMapping, groupBy, (long) timeWindowSize, timeUnit);

    return new StatisticsSummaryProgramWindow(params, serializableParams, configExtractor, streamPipesClient);

  }
}
