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/*
* Copyright (c) 2017-2019, guanquan.wang@hotmail.com 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 org.ttzero.excel.entity;
import org.ttzero.excel.manager.Const;
import org.ttzero.excel.reader.Cell;
import org.ttzero.excel.util.CSVUtil;
import org.ttzero.excel.util.FileUtil;
import java.io.BufferedWriter;
import java.io.IOException;
import java.io.InputStream;
import java.io.Reader;
import java.nio.charset.Charset;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.StandardCopyOption;
import static org.ttzero.excel.util.FileUtil.exists;
/**
* {@code CSVSheet}的数据源为csv文件,可用于将csv文件转为Excel工作表,
* 通过{@link CSVUtil}提供的迭代器使得{@code CSVSheet}与{@code ListSheet}工作表具有
* 相似的切片属性,输出协议调用{@code nextBlock}获取分片数据时{@code CSVSheet}从CSVIterator
* 中逐行读取数据并输出以此控制整个过程对内存的消耗
*
* <p>默认情况下CSV文件第一行数据将做为Excel表头,如果要忽略这个设定则需要调用{@link #ignoreHeader()}方法忽略表头,
* 忽略表头后第一行数据将被视为普通数据导了,也就是说无论是否忽略表头CSV的数据都将被完全复制到Excel文件中,
* 只是默认第一行将添加表头样式</p>
*
* @author guanquan.wang at 2019-09-26 08:33
*/
public class CSVSheet extends Sheet {
/**
* csv文件路径
*/
protected Path path;
/**
* csv Reader
*/
protected CSVUtil.Reader reader;
/**
* csv行迭代器,配合工作表输出协议获取数据可以极大降低内存消耗
*/
protected CSVUtil.RowsIterator iterator;
/**
* 是否需要清理临时资源,实例化时如果传入{@code InputStream}或{@code Reader}时会先将数据保存到临时文件
* 然后创建迭代器逐行读取数据,这个过程产生的临时文件会在关闭工作表时被一起清理
*/
protected boolean shouldClean;
/**
* 指定读取CSV使用的字符集
*/
protected Charset charset;
/**
* Delimiter char
*/
protected char delimiter = ',';
/**
* 实例化工作表,未指定工作表名称时默认以{@code 'Sheet'+id}命名
*/
public CSVSheet() {
super();
}
/**
* 实例化工作表并指定csv文件路径
*
* @param path csv文件路径
*/
public CSVSheet(Path path) {
this.path = path;
}
/**
* 实例化工作表并指定工作表名和csv文件路径
*
* @param name 工作表名
* @param path csv文件路径
*/
public CSVSheet(String name, Path path) {
super(name);
this.path = path;
}
/**
* 实例化工作表并指定csv文件字节流
*
* @param is csv文件字节流
* @throws IOException if I/O error occur.
*/
public CSVSheet(InputStream is) throws IOException {
this(null, is);
}
/**
* 实例化工作表并指定工作表名和csv文件字节流
*
* @param name 工作表名
* @param is csv文件字节流
* @throws IOException if I/O error occur.
*/
public CSVSheet(String name, InputStream is) throws IOException {
super(name);
path = Files.createTempFile(Const.EEC_PREFIX, String.valueOf(id));
Files.copy(is, path, StandardCopyOption.REPLACE_EXISTING);
shouldClean = true;
}
/**
* 实例化工作表并指定csv文件字符流
*
* @param reader csv文件字符流
* @throws IOException if I/O error occur.
*/
public CSVSheet(Reader reader) throws IOException {
this(null, reader);
}
/**
* 实例化工作表并指定工作表名和csv文件字符流
*
* @param name 工作表名
* @param reader csv文件字符流
* @throws IOException if I/O error occur.
*/
public CSVSheet(String name, Reader reader) throws IOException {
super(name);
path = Files.createTempFile(Const.EEC_PREFIX, String.valueOf(id));
shouldClean = true;
char[] chars = new char[8192];
int n;
try (BufferedWriter bw = Files.newBufferedWriter(path)) {
while ((n = reader.read(chars)) > 0) {
bw.write(chars, 0, n);
}
}
}
/**
* 清理临时文件
*
* @throws IOException if I/O error occur
*/
@Override
public void close() throws IOException {
// 最后一个Sheet关闭CSV流
if (shouldClose) {
if (iterator != null) iterator.close();
if (reader != null) reader.close();
if (shouldClean) FileUtil.rm_rf(path);
}
super.close();
}
// Create CSV iterator
private void init() throws IOException {
assert path != null && exists(path);
reader = CSVUtil.newReader(path, delimiter, charset);
iterator = reader.sharedIterator();
}
/**
* 重置{@code RowBlock}行块数据,使用csv行迭代器逐行读取数据并重置行块,由于csv格式并不包含任务样式
* 所以{@code CSVSheet}并不支持任务样式设定
*/
@Override
protected void resetBlockData() {
int n = 0, limit = getRowLimit();
boolean hasNext = true;
for (int rbs = rowBlock.capacity(); n++ < rbs && rows < limit && (hasNext = iterator.hasNext()); rows++) {
Row row = rowBlock.next();
row.index = rows;
row.height = getRowHeight();
resetRowData(row, iterator.next());
}
// Paging
if (rows >= limit) {
shouldClose = false;
rowBlock.markEOF();
CSVSheet copy = getClass().cast(clone());
copy.shouldClose = true;
workbook.insertSheet(id, copy);
} else if (!hasNext) rowBlock.markEOF();
}
@Override
protected Column[] getHeaderColumns() {
if (headerReady) return columns;
try {
// Create CSV iterator
init();
if (!iterator.hasNext()) return columns;
String[] rows = iterator.next();
columns = new Column[rows.length];
for (int i = 0; i < rows.length; i++) {
// FIXME the column type
columns[i] = new Column(getNonHeader() != 1 ? rows[i] : null, String.class);
columns[i].styles = workbook.getStyles();
}
} catch (IOException e) {
throw new ExcelWriteException(e);
}
return columns;
}
@Override
public void checkColumnLimit() {
super.checkColumnLimit();
if (getNonHeader() == 1) {
((CSVUtil.SharedRowsIterator) iterator).retain();
}
}
@Override
protected void mergeHeaderCellsIfEquals() { }
/**
* 设置读取CSV使用的字符集
*
* @param charset 指定字符集
* @return 当前工作表
*/
public CSVSheet setCharset(Charset charset) {
this.charset = charset;
return this;
}
/**
* Settings delimiter char
*
* @param delimiter delimiter char
* @return current CSVSheet
*/
public CSVSheet setDelimiter(char delimiter) {
this.delimiter = delimiter;
return this;
}
/**
* 重置单行数据
*
* @param row Excel行
* @param rowData 行数据
*/
protected void resetRowData(Row row, String[] rowData) {
int len = Math.min(columns.length, rowData.length);
Cell[] cells = row.realloc(len);
for (int i = 0; i < len; i++) {
resetCellValueAndStyle(row, cells[i], rowData, rowData[i], columns[i]);
}
}
/**
* 重置单元格数据和样式
*
* @param row Excel行
* @param cell Excel单元格
* @param rowData 行数据
* @param cellData 单元格数据
* @param column 单列表头
*/
protected void resetCellValueAndStyle(Row row, Cell cell, String[] rowData, String cellData, Column column) {
cell.setString(cellData);
cell.xf = cellValueAndStyle.getStyleIndex(row, column, cellData);
}
}