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A columnar file format designed for time-series data
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/*
 * 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.tsfile.file.metadata.statistics;

import org.apache.tsfile.enums.TSDataType;
import org.apache.tsfile.exception.filter.StatisticsClassException;
import org.apache.tsfile.utils.RamUsageEstimator;
import org.apache.tsfile.utils.ReadWriteIOUtils;

import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.nio.ByteBuffer;
import java.util.Objects;

/** Statistics for float type. */
public class FloatStatistics extends Statistics {

  public static final long INSTANCE_SIZE =
      RamUsageEstimator.shallowSizeOfInstance(FloatStatistics.class);

  private float minValue;
  private float maxValue;
  private float firstValue;
  private float lastValue;
  private double sumValue;

  @Override
  public TSDataType getType() {
    return TSDataType.FLOAT;
  }

  /** The output of this method should be identical to the method "serializeStats(outputStream)". */
  @Override
  public int getStatsSize() {
    return 24;
  }

  @Override
  public long getRetainedSizeInBytes() {
    return INSTANCE_SIZE;
  }

  public void initializeStats(float min, float max, float first, float last, double sum) {
    this.minValue = min;
    this.maxValue = max;
    this.firstValue = first;
    this.lastValue = last;
    this.sumValue = sum;
  }

  private void updateStats(float minValue, float maxValue, float last, double sumValue) {
    if (minValue < this.minValue) {
      this.minValue = minValue;
    }
    if (maxValue > this.maxValue) {
      this.maxValue = maxValue;
    }
    this.sumValue += sumValue;
    this.lastValue = last;
  }

  private void updateStats(
      float minValue,
      float maxValue,
      float first,
      float last,
      double sumValue,
      long startTime,
      long endTime) {
    if (minValue < this.minValue) {
      this.minValue = minValue;
    }
    if (maxValue > this.maxValue) {
      this.maxValue = maxValue;
    }
    this.sumValue += sumValue;
    // only if endTime greater or equals to the current endTime need we update the last value
    // only if startTime less or equals to the current startTime need we update the first value
    // otherwise, just ignore
    if (startTime <= this.getStartTime()) {
      this.firstValue = first;
    }
    if (endTime >= this.getEndTime()) {
      this.lastValue = last;
    }
  }

  @Override
  void updateStats(float value) {
    if (this.isEmpty) {
      initializeStats(value, value, value, value, value);
      isEmpty = false;
    } else {
      updateStats(value, value, value, value);
    }
  }

  @Override
  void updateStats(float[] values, int batchSize) {
    for (int i = 0; i < batchSize; i++) {
      updateStats(values[i]);
    }
  }

  @Override
  public Float getMinValue() {
    return minValue;
  }

  @Override
  public Float getMaxValue() {
    return maxValue;
  }

  @Override
  public Float getFirstValue() {
    return firstValue;
  }

  @Override
  public Float getLastValue() {
    return lastValue;
  }

  @Override
  public double getSumDoubleValue() {
    return sumValue;
  }

  @Override
  public long getSumLongValue() {
    throw new StatisticsClassException(
        String.format(STATS_UNSUPPORTED_MSG, TSDataType.FLOAT, "long sum"));
  }

  @Override
  protected void mergeStatisticsValue(Statistics stats) {
    FloatStatistics floatStats = (FloatStatistics) stats;
    if (isEmpty) {
      initializeStats(
          floatStats.getMinValue(),
          floatStats.getMaxValue(),
          floatStats.getFirstValue(),
          floatStats.getLastValue(),
          floatStats.sumValue);
      isEmpty = false;
    } else {
      updateStats(
          floatStats.getMinValue(),
          floatStats.getMaxValue(),
          floatStats.getFirstValue(),
          floatStats.getLastValue(),
          floatStats.sumValue,
          stats.getStartTime(),
          stats.getEndTime());
    }
  }

  @Override
  public int serializeStats(OutputStream outputStream) throws IOException {
    int byteLen = 0;
    byteLen += ReadWriteIOUtils.write(minValue, outputStream);
    byteLen += ReadWriteIOUtils.write(maxValue, outputStream);
    byteLen += ReadWriteIOUtils.write(firstValue, outputStream);
    byteLen += ReadWriteIOUtils.write(lastValue, outputStream);
    byteLen += ReadWriteIOUtils.write(sumValue, outputStream);
    return byteLen;
  }

  @Override
  public void deserialize(InputStream inputStream) throws IOException {
    this.minValue = ReadWriteIOUtils.readFloat(inputStream);
    this.maxValue = ReadWriteIOUtils.readFloat(inputStream);
    this.firstValue = ReadWriteIOUtils.readFloat(inputStream);
    this.lastValue = ReadWriteIOUtils.readFloat(inputStream);
    this.sumValue = ReadWriteIOUtils.readDouble(inputStream);
  }

  @Override
  public void deserialize(ByteBuffer byteBuffer) {
    this.minValue = ReadWriteIOUtils.readFloat(byteBuffer);
    this.maxValue = ReadWriteIOUtils.readFloat(byteBuffer);
    this.firstValue = ReadWriteIOUtils.readFloat(byteBuffer);
    this.lastValue = ReadWriteIOUtils.readFloat(byteBuffer);
    this.sumValue = ReadWriteIOUtils.readDouble(byteBuffer);
  }

  @Override
  public boolean equals(Object o) {
    if (this == o) {
      return true;
    }
    if (o == null || getClass() != o.getClass()) {
      return false;
    }
    if (!super.equals(o)) {
      return false;
    }
    double e = 0.00001;
    FloatStatistics that = (FloatStatistics) o;
    return Math.abs(that.minValue - minValue) < e
        && Math.abs(that.maxValue - maxValue) < e
        && Math.abs(that.firstValue - firstValue) < e
        && Math.abs(that.lastValue - lastValue) < e
        && Math.abs(that.sumValue - sumValue) < e;
  }

  @Override
  public int hashCode() {
    return Objects.hash(super.hashCode(), minValue, maxValue, firstValue, lastValue, sumValue);
  }

  @Override
  public String toString() {
    return super.toString()
        + " [minValue:"
        + minValue
        + ",maxValue:"
        + maxValue
        + ",firstValue:"
        + firstValue
        + ",lastValue:"
        + lastValue
        + ",sumValue:"
        + sumValue
        + "]";
  }
}