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Client library for Java for accessing ads APIs including DFP.
If you want to use this library, you must also include another Maven
artifact to specify which framework you would like to use it with. For
example, to use DFP with Axis, you should include the "dfp-axis"
artifact.
// Copyright 2010 Google Inc. 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.google.api.ads.common.lib.utils;
import com.google.common.base.Preconditions;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.io.Files;
import com.opencsv.CSVReader;
import com.opencsv.CSVWriter;
import java.io.File;
import java.io.IOException;
import java.io.Reader;
import java.nio.charset.StandardCharsets;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
/**
* A utility class for processing and handling CSV files.
*/
public final class CsvFiles {
/**
* {@code CsvFiles} is meant to be used statically.
*/
private CsvFiles() {}
/**
* Returns a {@code Map} mapping of the column designated by
* {@code key} to the column designated by {@code value}. This method also
* ignores all columns other than the columns specified by {@code key} and
* {@code value}.
*
* @param fileName the CSV file to load
* @param key the 0-indexed column number to map to the key of the returned
* data map
* @param value the column number to map to the value of the returned data
* map
* @param headerPresent {@code true} if the fist line is the header
* @return a {@code Map} mapping of the columns specified by
* {@code key} and {@code value}
* @throws IOException if there was an error while reading the file
* @throws IllegalArgumentException if CSV file does not have the
* columns specified by {@code key} or {@code value}
*/
public static Map getCsvDataMap(String fileName,
final int key, final int value, boolean headerPresent) throws IOException {
final Map result = Maps.newHashMap();
new CsvReader(fileName, headerPresent)
.processReader((header, line, lineNumber) -> result.put(line[key], line[value]));
return result;
}
/**
* Returns a {@code Map} mapping of the first column to the
* second column. This method also ignores all columns other than the first
* two.
*
* @param fileName the CSV file to load
* @param headerPresent {@code true} if the fist line is the header
* @return a {@code Map} mapping of the first to the second
* column
* @throws IOException if there was an exception reading the file
* @throws IllegalArgumentException if CSV file has fewer than two
* columns
*/
public static Map getCsvDataMap(String fileName, boolean headerPresent)
throws IOException {
return getCsvDataMap(fileName, 0, 1, headerPresent);
}
/**
* Returns a {@code Map} mapping of the first column to an
* array of the rest of the columns.
*
* @param fileName the CSV file to load
* @param headerPresent {@code true} if the fist line is the header
* @return a {@code Map} mapping of the first column to an
* array of the rest of the columns
* @throws IllegalArgumentException if there is fewer than 2 columns in
* the CSV
* @throws IOException if there was an exception reading the file
*/
public static Map getCsvDataMapArray(String fileName, boolean headerPresent)
throws IOException {
final Map result = Maps.newHashMap();
new CsvReader(fileName, headerPresent)
.processReader(
(header, line, lineNumber) ->
result.put(
line[0],
Arrays.asList(line)
.subList(1, line.length)
.toArray(new String[line.length - 1])));
return result;
}
/**
* Returns a {@code List