All Downloads are FREE. Search and download functionalities are using the official Maven repository.

com.d3x.morpheus.json.JsonSinkColumns Maven / Gradle / Ivy

There is a newer version: 1.0.31
Show newest version
/*
 * Copyright (C) 2014-2018 D3X Systems - All Rights Reserved
 *
 * Licensed 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 com.d3x.morpheus.json;

import java.io.OutputStream;
import java.io.OutputStreamWriter;

import com.d3x.morpheus.frame.DataFrame;
import com.d3x.morpheus.frame.DataFrameColumn;
import com.d3x.morpheus.frame.DataFrameException;
import com.d3x.morpheus.frame.DataFrameValue;
import com.d3x.morpheus.util.IO;
import com.d3x.morpheus.util.text.Formats;
import com.d3x.morpheus.util.text.printer.Printer;
import com.google.gson.stream.JsonWriter;

/**
 * A JsonSink.Handler that writes a DataFrame using a JSON format compatible with Pandas "columns" orientation
 *
 * 

This is open source software released under the Apache 2.0 License

* * @author Xavier Witdouck */ class JsonSinkColumns implements JsonSink { private JsonWriter writer; @Override public synchronized void write(DataFrame frame, Options options) { try { final String encoding = options.getEncoding(); final OutputStream os = options.getResource().toOutputStream(); final Formats formats = options.getFormats(); final Printer rowPrinter = formats.getPrinterOrFail(frame.rows().keyClass()); writer = new JsonWriter(new OutputStreamWriter(os, encoding)); writer.setIndent(" "); writer.beginObject(); for (DataFrameColumn column : frame.cols()) { final Object colKey = column.key(); final Class keyType = colKey.getClass(); final Class valueType = column.dataClass(); final String colName = formats.getPrinterOrFail(keyType).apply(colKey); writer.name(colName); writer.beginObject(); if (valueType == Boolean.class) { for (DataFrameValue value : column) { final Object rowKey = value.rowKey(); writer.name(rowPrinter.apply(rowKey)); writer.value(value.getBoolean()); } } else if (valueType == Integer.class) { for (DataFrameValue value : column) { final Object rowKey = value.rowKey(); writer.name(rowPrinter.apply(rowKey)); writer.value(value.getInt()); } } else if (valueType == Long.class) { for (DataFrameValue value : column) { final Object rowKey = value.rowKey(); writer.name(rowPrinter.apply(rowKey)); writer.value(value.getLong()); } } else if (valueType == Double.class) { for (DataFrameValue value : column) { final Object rowKey = value.rowKey(); writer.name(rowPrinter.apply(rowKey)); writer.value(value.getDouble()); } } else { final Printer valuePrinter = formats.getPrinterOrFail(valueType); for (DataFrameValue value : column) { final Object rowKey = value.rowKey(); writer.name(rowPrinter.apply(rowKey)); writer.value(valuePrinter.apply(value.getValue())); } } writer.endObject(); } writer.endObject(); } catch (Exception ex) { throw new DataFrameException("Failed to write DataFrame to JSON output", ex); } finally { IO.close(writer); } } }