/*
 * 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.iotdb.flink;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import org.apache.iotdb.tsfile.file.metadata.enums.TSDataType;

/**
 *  The default implementation of IoTSerializationSchema. Gets info from a map struct.
 */
public class DefaultIoTSerializationSchema implements IoTSerializationSchema<Map<String, String>> {

  private String fieldDevice = "device";
  private String fieldTimestamp = "timestamp";
  private String fieldMeasurements = "measurements";
  private String fieldValues = "values";
  private String fieldTypes = "types";
  private String separator = ",";

  @Override
  public Event serialize(Map<String, String> tuple) {
    if (tuple == null) {
      return null;
    }

    String device = tuple.get(fieldDevice);

    String ts = tuple.get(fieldTimestamp);
    Long timestamp = ts == null ? System.currentTimeMillis() : Long.parseLong(ts);

    List<String> measurements = null;
    if (tuple.get(fieldMeasurements) != null) {
      measurements = Arrays.asList(tuple.get(fieldMeasurements).split(separator));
    }

    List<TSDataType> types = new ArrayList<>();
    for (String type : tuple.get(fieldTypes).split(separator)) {
      types.add(TSDataType.valueOf(type));
    }

    List<Object> values = new ArrayList<>();
    String[] valuesStr = tuple.get(fieldValues).split(separator);
    for (int i = 0; i < valuesStr.length; i++) {
      switch (types.get(i)) {
        case INT64:
          values.add(Long.parseLong(valuesStr[i]));
          break;
        case DOUBLE:
          values.add(Double.parseDouble(valuesStr[i]));
          break;
        case INT32:
          values.add(Integer.parseInt(valuesStr[i]));
          break;
        case TEXT:
          values.add(valuesStr[i]);
          break;
        case FLOAT:
          values.add(Float.parseFloat(valuesStr[i]));
          break;
        case BOOLEAN:
          values.add(Boolean.parseBoolean(valuesStr[i]));
          break;
      }
    }

    return new Event(device, timestamp, measurements, types, values);
  }

  public String getFieldDevice() {
    return fieldDevice;
  }

  public void setFieldDevice(String fieldDevice) {
    this.fieldDevice = fieldDevice;
  }

  public String getFieldTimestamp() {
    return fieldTimestamp;
  }

  public void setFieldTimestamp(String fieldTimestamp) {
    this.fieldTimestamp = fieldTimestamp;
  }

  public String getFieldMeasurements() {
    return fieldMeasurements;
  }

  public void setFieldMeasurements(String fieldMeasurements) {
    this.fieldMeasurements = fieldMeasurements;
  }

  public String getFieldValues() {
    return fieldValues;
  }

  public void setFieldValues(String fieldValues) {
    this.fieldValues = fieldValues;
  }

  public String getSeparator() {
    return separator;
  }

  public void setSeparator(String separator) {
    this.separator = separator;
  }
}
