Java tutorial
/* * Copyright 2019 ThoughtWorks, Inc. * * 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.thoughtworks.go.util; import org.apache.commons.lang3.StringUtils; import java.util.*; public class Csv { private final List<CsvRow> data = new ArrayList<>(); public static Csv fromString(String csvContent) { Csv csv = new Csv(); String[] lines = csvContent.split("\n"); if (lines.length > 1) { String header = lines[0]; String[] columns = header.split(","); for (int i = 1; i < lines.length; i++) { String line = lines[i]; CsvRow row = csv.newRow(); String[] strings = line.split(","); for (int j = 0; j < strings.length; j++) { String string = strings[j]; row.put(columns[j], string); } } } return csv; } public CsvRow newRow() { CsvRow newRow = new CsvRow(); data.add(newRow); return newRow; } public String toString() { Set<String> allFields = fields(); StringBuilder sb = new StringBuilder(); sb.append(StringUtils.join(allFields, ",")).append("\n"); for (CsvRow row : data) { sb.append(row.toString(allFields)).append("\n"); } return sb.toString(); } private Set<String> fields() { Set<String> fields = new LinkedHashSet<>(); for (CsvRow row : data) { fields.addAll(row.fields()); } return fields; } public int rowCount() { return data.size(); } /** * Test if this Csv contains specified row. * Note: Provided row may only contain part of the columns. * @param row Each row is represented as a map, with column name as key, and column value as value * @return */ public boolean containsRow(Map<String, String> row) { for (CsvRow csvRow : data) { if (csvRow.contains(row)) { return true; } } return false; } }