DataToolsServiceImpl.java
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package com.bsth.service.schedule.utils;
import com.bsth.service.schedule.exception.ScheduleException;
import com.google.common.io.Files;
import org.apache.tika.Tika;
import org.joda.time.DateTime;
import org.pentaho.di.core.KettleEnvironment;
import org.pentaho.di.core.logging.KettleLogStore;
import org.pentaho.di.core.logging.LoggingBuffer;
import org.pentaho.di.core.logging.LoggingRegistry;
import org.pentaho.di.core.util.EnvUtil;
import org.pentaho.di.trans.Trans;
import org.pentaho.di.trans.TransMeta;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.stereotype.Service;
import java.io.File;
import java.io.PrintWriter;
import java.io.StringWriter;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
/**
* Created by xu on 17/1/3.
*/
@Service
@EnableConfigurationProperties(DataToolsProperties.class)
public class DataToolsServiceImpl implements DataToolsService, InitializingBean {
/** 日志记录器 */
private static final Logger LOGGER = LoggerFactory.getLogger(DataToolsServiceImpl.class);
@Autowired
private DataToolsProperties dataToolsProperties;
/**
* 自定义kettle环境初始化定义。
*/
private void ktrEnvironmentInit() throws Exception {
// 由于kettle.properties可能没有（没有安装过kettle），
// 导致 EnvUtil.environmentInit() 报找不到kettle.properties文件
// 所以这里重写 EnvUtil.environmentInit() 方法
if (Thread.currentThread().getContextClassLoader() == null) {
Thread.currentThread().setContextClassLoader(ClassLoader.getSystemClassLoader());
}
// 获取配置文件
File file = new File(getClass().getResource(dataToolsProperties.getKettleProperties()).toURI());
Properties kettleProperties = EnvUtil.readProperties(file.getAbsolutePath());
EnvUtil.applyKettleProperties(kettleProperties);
System.getProperties().put("Internal.Cluster.Size", "1");
System.getProperties().put("Internal.Slave.Transformation.Number", "0");
System.getProperties().put("Internal.Slave.Server.Name", "slave-trans-name");
System.getProperties().put("Internal.Step.CopyNr", "0");
System.getProperties().put("Internal.Step.Name", "step-name");
System.getProperties().put("Internal.Step.Partition.ID", "partition-id");
System.getProperties().put("Internal.Step.Partition.Number", "0");
System.getProperties().put("Internal.Step.Unique.Count", "1");
System.getProperties().put("Internal.Step.Unique.Number", "0");
if (!kettleProperties.containsKey("vfs.sftp.org.apache.commons.vfs2.provider.sftp.SftpFileSystemConfigBuilder.USER_DIR_IS_ROOT")) {
System.getProperties().put("vfs.sftp.org.apache.commons.vfs2.provider.sftp.SftpFileSystemConfigBuilder.USER_DIR_IS_ROOT", "false");
}
}
@Override
public void afterPropertiesSet() throws Exception {
// 初始化kettle环境（自定义）
ktrEnvironmentInit();
// 添加全局ktr变量，并覆盖原来的设置
Map<String, String> kvars = new HashMap<>();
kvars.put("v_db_ip", dataToolsProperties.getKvarsDbip());
kvars.put("v_db_uname", dataToolsProperties.getKvarsDbuname());
kvars.put("v_db_pwd", dataToolsProperties.getKvarsDbpwd());
kvars.put("v_db_dname", dataToolsProperties.getKvarsDbdname());
EnvUtil.applyKettleProperties(kvars, true);
KettleEnvironment.init();
}
@Override
public File uploadFile(String filename, byte[] filedata) throws ScheduleException {
// 上传文件
try {
LOGGER.info("start uploadFile...originalFilename={}", filename);
File newFile = new File(dataToolsProperties.getFileuploadDir() + File.separator +
filename + "-upload-" + new DateTime().toString("yyyyMMddHHmmss") + ".xls");
// TODO：判定是否excel数据
Tika tika = new Tika();
String type = tika.detect(filedata);
// application/x-tika-msoffice
LOGGER.info("文件格式={}", type);
if ("application/vnd.ms-excel".equals(type) || "application/x-tika-msoffice".equals(type)) {
// .xls 2007的格式
Files.write(filedata, newFile);
} else if ("application/vnd.openxmlformats-officedocument.spreadsheetml.sheet".equals(type)) {
// .xlsx 2007之后的格式
throw new Exception("暂时不支持.xlsx格式文件！");
} else {
// 非excel文件
throw new Exception("非.xls格式文件！");
}
LOGGER.info("uploadFile success...newFilename={}", newFile.getAbsolutePath());
return newFile;
} catch (Exception exp) {
LOGGER.info("uploadFile failed...stackTrace...");
StringWriter sw = new StringWriter();
exp.printStackTrace(new PrintWriter(sw));
LOGGER.info(sw.toString());
throw new ScheduleException("上传文件错误！");
}
}
@Override
public void importData(File file, Map<String, Object> params) throws ScheduleException {
// 导入数据
String transLogId = "";
String transMetaLogId = "";
try {
LOGGER.info("start importData...originalFilename={}", file.getAbsolutePath());
// 检查参数
String transpath = String.valueOf(params.get("transpath"));
if ("null".equals(transpath)) {
throw new Exception(
"没有指定transpath参数值，无法确定ktr转换文件！");
}
File ktrFile = new File(transpath);
// 设置文件路径，错误输出文件路径参数
params.put("filepath", file.getAbsolutePath());
params.put("erroroutputdir", dataToolsProperties.getTransErrordir());
// 2、使用kettle运行封装数据导入逻辑的ktr转换文件
// 2.1、初始化kettle（组件初始化已经做了）
// 2.2、创建转换元数据，转换
TransMeta transMeta = new TransMeta(ktrFile.getAbsolutePath());
Trans trans = new Trans(transMeta);
// 2.3、设定命名参数，用于指定数据文件，注意每个ktr必须都有以下指定的命名参数
for (String key : params.keySet()) {
trans.setParameterValue(key, String.valueOf(params.get(key)));
}
// 2.4、执行转换
trans.execute(null);
// 2.5、等待转换结束
trans.waitUntilFinished();
// 获取日志
transLogId = trans.getLogChannelId();
transMetaLogId = transMeta.getLogChannelId();
LoggingBuffer loggingBuffer = KettleLogStore.getAppender();
StringBuffer stringBuffer = loggingBuffer.getBuffer(
trans.getLogChannelId(), false
);
if (trans.getErrors() > 0) {
throw new Exception(stringBuffer.toString());
}
LOGGER.info(stringBuffer.toString());
LOGGER.info("importData success...");
} catch (Exception exp) {
LOGGER.info("importData failed...statckTrace...");
StringWriter sw = new StringWriter();
exp.printStackTrace(new PrintWriter(sw));
LOGGER.info(sw.toString());
throw new ScheduleException("导入数据错误！");
} finally {
// 清除日志操作
KettleLogStore.discardLines(transLogId, true);
KettleLogStore.discardLines(transMetaLogId, true);
LoggingRegistry.getInstance().removeIncludingChildren(transLogId);
}
}
@Override
public File exportData(Map<String, Object> params) throws ScheduleException {
// 导出数据
String transLogId = "";
String transMetaLogId = "";
try {
LOGGER.info("start exportData...");
// 检查参数
String filename = String.valueOf(params.get("filename"));
if ("null".equals(filename)) {
filename = "temp";
}
String transpath = String.valueOf(params.get("transpath"));
if ("null".equals(transpath)) {
throw new Exception(
"没有指定transpath参数值，无法确定ktr转换文件！");
}
File ktrFile = new File(transpath);
// 设置文件路径参数
String filepath = dataToolsProperties.getFileoutputDir() +
File.separator +
filename +
new DateTime().toString("yyyyMMddHHmmss") + ".xls";
params.put("filepath", filepath);
// 2、使用kettle运行封装数据导入逻辑的ktr转换文件
// 2.1、初始化kettle（组件初始化已经做了）
// 2.2、创建转换元数据，转换
TransMeta transMeta = new TransMeta(ktrFile.getAbsolutePath());
Trans trans = new Trans(transMeta);
// 2.3、设定命名参数，用于指定数据文件，注意每个ktr必须都有以下指定的命名参数
for (String key : params.keySet()) {
trans.setParameterValue(key, String.valueOf(params.get(key)));
}
// 2.4、执行转换
trans.execute(null);
// 2.5、等待转换结束
trans.waitUntilFinished();
// 获取日志
transLogId = trans.getLogChannelId();
transMetaLogId = transMeta.getLogChannelId();
LoggingBuffer loggingBuffer = KettleLogStore.getAppender();
StringBuffer stringBuffer = loggingBuffer.getBuffer(
trans.getLogChannelId(), false
);
if (trans.getErrors() > 0) {
throw new Exception(stringBuffer.toString());
}
LOGGER.info(stringBuffer.toString());
LOGGER.info("exportData success...");
return new File(filepath);
} catch (Exception exp) {
LOGGER.info("exportData failed...statckTrace...");
StringWriter sw = new StringWriter();
exp.printStackTrace(new PrintWriter(sw));
LOGGER.info(sw.toString());
throw new ScheduleException("导出数据错误！");
} finally {
// 清除日志操作
KettleLogStore.discardLines(transLogId, true);
KettleLogStore.discardLines(transMetaLogId, true);
LoggingRegistry.getInstance().removeIncludingChildren(transLogId);
}
}
}