作者 朱兆平

init

# XML转换工具
## 支持xml转换成Word、Excel格式
## 程序为定时任务,默认每5秒读取xml文件夹处理一次此文件夹下的所有lrmx文件
[修改任务时间需要再源代码中的ParseTask中修改]
* 配置文件路径为config文件夹
* 相关配置查看配置文件尾部的自定义配置部分
* 导入的lrmx路径为程序执行目录的./xml文件夹
* ./word目录为生成word的存储目录
* ./excel目录为生成的excel存储目录
### 程序需要用到公共工具包util,git:[git@118.31.66.166:wlxxpt/utitls.git]
... ...
#上传文件的路径,要带斜杠
web:
upload-path: upload/
server:
port: 10002
servlet:
context-path: ${SERVER_CONTEXTPATH:}
spring:
profiles:
active: dev
mvc:
#静态资源,设置上传文件的访问,
static-path-pattern: /**
# view:
# suffix: .html
## prefix: /templates/
thymeleaf:
cache: false
mode: LEGACYHTML5
resources:
static-locations: classpath:/META-INF/resources/,classpath:/static,classpath:/resources/,classpath:/public/,file:${web.upload-path}
application:
name: Xml2Office
jackson:
serialization:
FAIL_ON_EMPTY_BEANS: false
#springboot2.0之后会把Date类型字段自动给转成UTC字符串 如:1990-11-26T16:00:00.000+0000,如果想转成时间戳在application.properties配置文件增加以下配置
date-format: yyyy-MM-dd HH:mm:ss
#时区必须要设置
time-zone: GMT+8
#ALWAYS的意思是即时属性为null,仍然也会输出这个key
default-property-inclusion: always
cloud:
#eureka主机名,会在控制页面中显示
#DEV环境关闭注册。
features:
enabled: false
discovery:
enabled: false
service-registry:
auto-registration:
enabled: false
datasource:
type: com.alibaba.druid.pool.DruidDataSource
#oracle
driver-class-name: oracle.jdbc.OracleDriver
url: jdbc:oracle:thin:@192.168.1.253:1522:ORCLL
username: CGONMS
password: vmvnv1v2
#spring datasource mysql,注意编码配置,缺少数据库编码配置容易引起中文入库乱码
# url: jdbc:mysql://127.0.0.1:3307/statistics?useUnicode=true&characterEncoding=utf8
# username: root
# password:
# driver-class-name: com.mysql.jdbc.Driver
max-idle: 20
max-wait: 10000
min-idle: 5
initial-size: 5
#配置初始化大小/最小/最大
druid:
initial-size: 1
min-idle: 1
#最大并发连接数
max-active: 40
#获取连接等待超时时间
max-wait: 60000
#一个连接在池中最小生存的时间
min-evictable-idle-time-millis: 300000
#间隔多久进行一次检测,检测需要关闭的空闲连接
time-between-eviction-runs-millis: 60000
#mysql
# validation-query: SELECT 1 FROM DUAL
#oracle
validation-query: SELECT 'x' FROM DUAL
test-while-idle: true
test-on-borrow: false
test-on-return: false
default-auto-commit: true
freemarker:
template-loader-path: classpath:/templates
#关闭缓存,及时刷新,上线生产环境需要修改为true
cache: false
charset: utf-8
check-template-location: true
content-type: text/xml
suffix: .ftlx
eureka:
instance:
#eureka服务器页面中status的请求路径
status-page-url: http://${eureka.instance.hostname}:${server.port}/
prefer-ip-address: true
instance-id: ${spring.cloud.client.ip-address}:${server.port}
hostname: ${spring.cloud.client.ip-address}
client:
#eureka注册中心服务器地址
service-url:
defaultZone: http://10.50.3.82:19527/eureka/
registry-fetch-interval-seconds: 30
lease-renewal-interval-in-seconds: 15
lease-expiration-duration-in-seconds: 45
mybatis:
mapper-locations: classpath:mapping/*.xml
type-aliases-package: com.tianbo.warehouse.model
pagehelper:
#auto-dialect: true
#auto-runtime-dialect: true
helper-dialect: oracle
reasonable: true
support-methods-arguments: true
params: count=countSql
#debug配置,debug或者为true的时候,logback才会记录和写入日志文件
trace: false
debug: false
logging:
file:
path: ./logs/
name: system.log
config: config/logback-dev.xml
#转移到logback配置文件中
#level:
#org.apache.tomcat: info
#com.tianbo.warehouse.dao: DEBUG
#org.springframework.security: trace
#日志配置,输出到文本,
#Java Web Token 时效时间,单位秒
jwt:
max-alive: 300
#自定义配置
custom:
#lrmx文件的读取目录
readDir: ./xml
... ...
<?xml version="1.0" encoding="UTF-8"?>
<!--参考文档链接:https://blog.csdn.net/qq_34912478/article/details/80877132-->
<!-- 日志级别从低到高分为TRACE < DEBUG < INFO < WARN < ERROR < FATAL,如果设置为WARN,则低于WARN的信息都不会输出 -->
<!-- scan:当此属性设置为true时,配置文件如果发生改变,将会被重新加载,默认值为true -->
<!-- scanPeriod:设置监测配置文件是否有修改的时间间隔,如果没有给出时间单位,默认单位是毫秒。当scan为true时,此属性生效。默认的时间间隔为1分钟。 -->
<!-- debug:当此属性设置为true时,将打印出logback内部日志信息,实时查看logback运行状态。默认值为false。 -->
<configuration scan="true" scanPeriod="10 seconds">
<!--<include resource="org/springframework/boot/logging/logback/base.xml" />-->
<contextName>logback</contextName>
<!-- name的值是变量的名称,value的值时变量定义的值。通过定义的值会被插入到logger上下文中。定义变量后,可以使“${}”来使用变量。 -->
<property name="log.path" value="./logs" />
<!-- 彩色日志 -->
<!-- 彩色日志依赖的渲染类 -->
<conversionRule conversionWord="clr" converterClass="org.springframework.boot.logging.logback.ColorConverter" />
<conversionRule conversionWord="wex" converterClass="org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter" />
<conversionRule conversionWord="wEx" converterClass="org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter" />
<!-- 彩色日志格式 -->
<property name="CONSOLE_LOG_PATTERN" value="${CONSOLE_LOG_PATTERN:-%clr(%d{yyyy-MM-dd HH:mm:ss.SSS}){faint} %clr(${LOG_LEVEL_PATTERN:-%5p}) %clr(${PID:- }){magenta} %clr(---){faint} %clr([%15.15t]){faint} %clr(%-40.40logger{39}){cyan} %clr(:){faint} %m%n${LOG_EXCEPTION_CONVERSION_WORD:-%wEx}}"/>
<!--输出到控制台-->
<appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender">
<!--此日志appender是为开发使用,只配置最底级别,控制台输出的日志级别是大于或等于此级别的日志信息-->
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<level>trace</level>
</filter>
<encoder>
<Pattern>${CONSOLE_LOG_PATTERN}</Pattern>
<!-- 设置字符集 windows系统这里设置成GBK-->
<charset>UTF-8</charset>
</encoder>
</appender>
<!--输出到文件-->
<!-- 时间滚动输出 level为 DEBUG 日志 -->
<appender name="DEBUG_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<!-- 正在记录的日志文件的路径及文件名 -->
<file>${log.path}/log_debug.log</file>
<!--日志文件输出格式-->
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n</pattern>
<charset>UTF-8</charset> <!-- 设置字符集 -->
</encoder>
<!-- 日志记录器的滚动策略,按日期,按大小记录 -->
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<!-- 日志归档 -->
<fileNamePattern>${log.path}/debug/log-debug-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>100MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<!--日志文件保留天数-->
<maxHistory>15</maxHistory>
</rollingPolicy>
<!-- 此日志文件只记录debug级别的 -->
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>debug</level>
<onMatch>ACCEPT</onMatch>
<onMismatch>DENY</onMismatch>
</filter>
</appender>
<!-- 时间滚动输出 level为 INFO 日志 -->
<appender name="INFO_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<!-- 正在记录的日志文件的路径及文件名 -->
<file>${log.path}/log_info.log</file>
<!--日志文件输出格式-->
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n</pattern>
<charset>UTF-8</charset>
</encoder>
<!-- 日志记录器的滚动策略,按日期,按大小记录 -->
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<!-- 每天日志归档路径以及格式 -->
<fileNamePattern>${log.path}/info/log-info-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>100MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<!--日志文件保留天数-->
<maxHistory>15</maxHistory>
</rollingPolicy>
<!-- 此日志文件只记录info级别的 -->
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>info</level>
<onMatch>ACCEPT</onMatch>
<onMismatch>DENY</onMismatch>
</filter>
</appender>
<!-- 时间滚动输出 level为 WARN 日志 -->
<appender name="WARN_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<!-- 正在记录的日志文件的路径及文件名 -->
<file>${log.path}/log_warn.log</file>
<!--日志文件输出格式-->
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n</pattern>
<charset>UTF-8</charset> <!-- 此处设置字符集 -->
</encoder>
<!-- 日志记录器的滚动策略,按日期,按大小记录 -->
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${log.path}/warn/log-warn-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>100MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<!--日志文件保留天数-->
<maxHistory>15</maxHistory>
</rollingPolicy>
<!-- 此日志文件只记录warn级别的 -->
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>warn</level>
<onMatch>ACCEPT</onMatch>
<onMismatch>DENY</onMismatch>
</filter>
</appender>
<!-- 时间滚动输出 level为 ERROR 日志 -->
<appender name="ERROR_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<!-- 正在记录的日志文件的路径及文件名 -->
<file>${log.path}/log_error.log</file>
<!--日志文件输出格式-->
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n</pattern>
<charset>UTF-8</charset> <!-- 此处设置字符集 -->
</encoder>
<!-- 日志记录器的滚动策略,按日期,按大小记录 -->
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${log.path}/error/log-error-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>100MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<!--日志文件保留天数-->
<maxHistory>15</maxHistory>
</rollingPolicy>
<!-- 此日志文件只记录ERROR级别的 -->
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>ERROR</level>
<onMatch>ACCEPT</onMatch>
<onMismatch>DENY</onMismatch>
</filter>
</appender>
<!-- 时间滚动输出 level为 trace 日志 -->
<appender name="TRACE_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<!-- 正在记录的日志文件的路径及文件名 -->
<file>${log.path}/log_trace.log</file>
<!--日志文件输出格式-->
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n</pattern>
<charset>UTF-8</charset> <!-- 此处设置字符集 -->
</encoder>
<!-- 日志记录器的滚动策略,按日期,按大小记录 -->
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${log.path}/trace/log-trace-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>100MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<!--日志文件保留天数-->
<maxHistory>15</maxHistory>
</rollingPolicy>
<!-- 此日志文件只记录trace级别的 -->
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>TRACE</level>
<onMatch>ACCEPT</onMatch>
<onMismatch>DENY</onMismatch>
</filter>
</appender>
<!--
<logger>用来设置某一个包或者具体的某一个类的日志打印级别、
以及指定<appender>。<logger>仅有一个name属性,
一个可选的level和一个可选的addtivity属性。
name:用来指定受此logger约束的某一个包或者具体的某一个类。
level:用来设置打印级别,大小写无关:TRACE, DEBUG, INFO, WARN, ERROR, ALL 和 OFF,
还有一个特俗值INHERITED或者同义词NULL,代表强制执行上级的级别。
如果未设置此属性,那么当前logger将会继承上级的级别。
addtivity:是否向上级logger传递打印信息。默认是true。
-->
<!--<logger name="org.springframework.web" level="info"/>-->
<!--<logger name="org.springframework.scheduling.annotation.ScheduledAnnotationBeanPostProcessor" level="INFO"/>-->
<!--
使用mybatis的时候,sql语句是debug下才会打印,而这里我们只配置了info,所以想要查看sql语句的话,有以下两种操作:
第一种把<root level="info">改成<root level="DEBUG">这样就会打印sql,不过这样日志那边会出现很多其他消息
第二种就是单独给dao下目录配置debug模式,代码如下,这样配置sql语句会打印,其他还是正常info级别:
-->
<!--
root节点是必选节点,用来指定最基础的日志输出级别,只有一个level属性
level:用来设置打印级别,大小写无关:TRACE, DEBUG, INFO, WARN, ERROR, ALL 和 OFF,
不能设置为INHERITED或者同义词NULL。默认是DEBUG
可以包含零个或多个元素,标识这个appender将会添加到这个logger。
-->
<!--<logger name="com.tianbo.analysis" level="trace">-->
<!--<appender-ref ref="CONSOLE" />-->
<!--<appender-ref ref="TRACE_FILE" />-->
<!--<appender-ref ref="DEBUG_FILE" />-->
<!--<appender-ref ref="INFO_FILE" />-->
<!--<appender-ref ref="WARN_FILE" />-->
<!--<appender-ref ref="ERROR_FILE" />-->
<!--</logger>-->
<!--开发环境:打印控制台-->
<springProfile name="dev">
<logger name="org.springframework" level="info"/>
<logger name="org.apache.tomcat" level="info" />
<logger name="com.tianbo.analysis.dao" level="DEBUG" />
<logger name="com.tianbo.analysis" level="trace" />
<root level="info">
<appender-ref ref="CONSOLE" />
<appender-ref ref="TRACE_FILE" />
<appender-ref ref="DEBUG_FILE" />
<appender-ref ref="INFO_FILE" />
<appender-ref ref="WARN_FILE" />
<appender-ref ref="ERROR_FILE" />
</root>
</springProfile>
<!--生产环境:输出到文件-->
<springProfile name="pro">
<logger name="com.tianbo.analysis" level="trace" />
<logger name="org.springframework.boot" level="INFO"/>
<logger name="com.tianbo.analysis.dao" level="DEBUG" />
<root level="info">
<appender-ref ref="CONSOLE" />
<appender-ref ref="DEBUG_FILE" />
<appender-ref ref="INFO_FILE" />
<appender-ref ref="ERROR_FILE" />
<appender-ref ref="WARN_FILE" />
<appender-ref ref="TRACE_FILE" />
</root>
</springProfile>
</configuration>
\ No newline at end of file
... ...
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<packaging>jar</packaging>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.2.0.M6</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.sunyo</groupId>
<artifactId>office</artifactId>
<version>1.0-SNAPSHOT</version>
<description>读取XML信息转换成office文件</description>
<properties>
<druid.version>1.1.9</druid.version>
<spring-cloud.version>Hoxton.M2</spring-cloud.version>
<lombok_sersion>1.18.6</lombok_sersion>
</properties>
<dependencies>
<!--spring boot-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-freemarker</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!--lombok-->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok_sersion}</version>
<scope>provided</scope>
</dependency>
<!--util依赖-->
<dependency>
<groupId>com.tianbo</groupId>
<artifactId>util</artifactId>
<version>1.0-SNAPSHOT</version>
</dependency>
<!--util依赖-->
</dependencies>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-dependencies</artifactId>
<version>${spring-cloud.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<includeSystemScope>true</includeSystemScope>
</configuration>
</plugin>
<!-- mybatis generator 自动生成代码插件 -->
<plugin>
<groupId>org.mybatis.generator</groupId>
<artifactId>mybatis-generator-maven-plugin</artifactId>
<version>1.3.2</version>
<configuration>
<configurationFile>${basedir}/src/main/resources/generator/generatorConfig.xml</configurationFile>
<overwrite>true</overwrite>
<verbose>true</verbose>
</configuration>
</plugin>
</plugins>
</build>
<repositories>
<repository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<snapshots>
<enabled>true</enabled>
</snapshots>
</pluginRepository>
<pluginRepository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
</pluginRepository>
</pluginRepositories>
</project>
\ No newline at end of file
... ...
package com.sunyo.office;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.scheduling.annotation.EnableScheduling;
@EnableScheduling
@SpringBootApplication()
public class BootApplication {
public static void main(String[] args) {
SpringApplication.run(BootApplication.class, args);
}
}
... ...
package com.sunyo.office.config;
import com.sun.tools.javac.api.DiagnosticFormatter;
import com.sunyo.office.task.ParseTask;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Configuration;
@Configuration
public class LoadMyCompentConfig{
@Autowired
private ParseTask parseTask;
}
... ...
package com.sunyo.office.model;
import com.tianbo.util.Date.DateUtil;
import lombok.Data;
import java.text.ParseException;
import java.util.Date;
@Data
public class Family {
private String ChengWei;
private String XingMing;
private String ChuShengRiQi;
private String ZhengZhiMianMao;
private String GongZuoDanWeiJiZhiWu;
private String Age;
public void setAge() {
try{
Date chushengDate = DateUtil.parseDate(this.ChuShengRiQi,"yyyyMM");
int age = DateUtil.getAgeByBirth(chushengDate);
this.Age = String.valueOf(age);
}catch (ParseException e){
this.Age = "0";
}
}
}
... ...
package com.sunyo.office.model;
import com.tianbo.util.Date.DateUtil;
import com.tianbo.util.XML.XMLXPath;
import lombok.Data;
import lombok.extern.slf4j.Slf4j;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.Element;
import org.dom4j.Node;
import org.dom4j.io.SAXReader;
import org.springframework.stereotype.Component;
import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.UnsupportedEncodingException;
import java.text.ParseException;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
@Data
@Slf4j
@Component
public class Person {
private String XingMing;
private String XingBie;
private String ChuShengNianYue;
private String MinZu;
private String JiGuan;
private String ChuShengDi;
private String RuDangShiJian;
private String CanJiaGongZuoShiJian;
private String JianKangZhuangKuang;
private String ZhuanYeJiShuZhiWu;
private String ShuXiZhuanYeYouHeZhuanChang;
private String QuanRiZhiJiaoYu_XueLi;
private String QuanRiZhiJiaoYu_XueWei;
private String QuanRiZhiJiaoYu_XueLi_BiYeYuanXiaoXi;
private String QuanRiZhiJiaoYu_XueWei_BiYeYuanXiaoXi;
private String ZaiZhiJiaoYu_XueLi;
private String ZaiZhiJiaoYu_XueWei;
private String ZaiZhiJiaoYu_XueLi_BiYeYuanXiaoXi;
private String ZaiZhiJiaoYu_XueWei_BiYeYuanXiaoXi;
private String XianRenZhiWu;
private String NiRenZhiWu;
private String NiMianZhiWu;
private String JianLi;
private String JiangChengQingKuang;
private String NianDuKaoHeJieGuo;
private String RenMianLiYou;
private List<Family> JiaTingChengYuan;
private String ChengBaoDanWei;
private String JiSuanNianLingShiJian;
private String TianBiaoShiJian;
private String TianBiaoRen;
private String ShenFenZheng;
private String ZhaoPian;
private String Version;
private String Age;
private File XmlFile;
public final static String XingMing_Node = "//Person/XingMing";
public final static String XingBie_Node = "//Person/XingBie";
public final static String ChuShengNianYue_Node = "//Person/ChuShengNianYue";
public final static String MinZu_Node = "//Person/MinZu";
public final static String JiGuan_Node = "//Person/JiGuan";
public final static String ChuShengDi_Node = "//Person/ChuShengDi";
public final static String RuDangShiJian_Node = "//Person/RuDangShiJian";
public final static String CanJiaGongZuoShiJian_Node = "//Person/CanJiaGongZuoShiJian";
public final static String JianKangZhuangKuang_Node = "//Person/JianKangZhuangKuang";
public final static String ZhuanYeJiShuZhiWu_Node = "//Person/ZhuanYeJiShuZhiWu";
public final static String ShuXiZhuanYeYouHeZhuanChang_Node = "//Person/ShuXiZhuanYeYouHeZhuanChang";
public final static String QuanRiZhiJiaoYu_XueLi_Node = "//Person/QuanRiZhiJiaoYu_XueLi";
public final static String QuanRiZhiJiaoYu_XueWei_Node = "//Person/QuanRiZhiJiaoYu_XueWei";
public final static String QuanRiZhiJiaoYu_XueLi_BiYeYuanXiaoXi_Node = "//Person/QuanRiZhiJiaoYu_XueLi_BiYeYuanXiaoXi";
public final static String QuanRiZhiJiaoYu_XueWei_BiYeYuanXiaoXi_Node = "//Person/QuanRiZhiJiaoYu_XueWei_BiYeYuanXiaoXi";
public final static String ZaiZhiJiaoYu_XueLi_Node = "//Person/ZaiZhiJiaoYu_XueLi";
public final static String ZaiZhiJiaoYu_XueWei_Node = "//Person/ZaiZhiJiaoYu_XueWei";
public final static String ZaiZhiJiaoYu_XueLi_BiYeYuanXiaoXi_Node = "//Person/ZaiZhiJiaoYu_XueLi_BiYeYuanXiaoXi";
public final static String ZaiZhiJiaoYu_XueWei_BiYeYuanXiaoXi_Node = "//Person/ZaiZhiJiaoYu_XueWei_BiYeYuanXiaoXi";
public final static String XianRenZhiWu_Node = "//Person/XianRenZhiWu";
public final static String NiRenZhiWu_Node = "//Person/NiRenZhiWu";
public final static String NiMianZhiWu_Node = "//Person/NiMianZhiWu";
public final static String JianLi_Node = "//Person/JianLi";
public final static String JiangChengQingKuang_Node = "//Person/JiangChengQingKuang";
public final static String NianDuKaoHeJieGuo_Node = "//Person/NianDuKaoHeJieGuo";
public final static String RenMianLiYou_Node = "//Person/RenMianLiYou";
public final static String ChengBaoDanWei_Node = "//Person/ChengBaoDanWei";
public final static String JiSuanNianLingShiJian_Node = "//Person/JiSuanNianLingShiJian";
public final static String TianBiaoShiJian_Node = "//Person/TianBiaoShiJian";
public final static String TianBiaoRen_Node = "//Person/TianBiaoRen";
public final static String ShenFenZheng_Node = "//Person/ShenFenZheng";
public final static String ZhaoPian_Node = "//Person/ZhaoPian";
public final static String Version_Node = "//Person/Version";
public final static String JiaTingChengYuan_ChengWei_Node = "//Person/JiaTingChengYuan/Item";
public Person(File xmlFile) {
this.XmlFile = xmlFile;
try{
SAXReader saxReader = new SAXReader();
Document document = saxReader.read(XmlFile);
Element contentRoot = document.getRootElement();
this.XingMing = XMLXPath.getSingleValueByPath(document,XingMing_Node);
this.XingBie = XMLXPath.getSingleValueByPath(document,XingBie_Node);
this.ChuShengNianYue = XMLXPath.getSingleValueByPath(document,ChuShengNianYue_Node);
this.MinZu = XMLXPath.getSingleValueByPath(document,MinZu_Node);
this.JiGuan = XMLXPath.getSingleValueByPath(document,JiGuan_Node);
this.ChuShengDi = XMLXPath.getSingleValueByPath(document,ChuShengDi_Node);
this.RuDangShiJian = XMLXPath.getSingleValueByPath(document,RuDangShiJian_Node);
this.CanJiaGongZuoShiJian = XMLXPath.getSingleValueByPath(document,CanJiaGongZuoShiJian_Node);
this.JianKangZhuangKuang = XMLXPath.getSingleValueByPath(document,JianKangZhuangKuang_Node);
this.ZhuanYeJiShuZhiWu = XMLXPath.getSingleValueByPath(document,ZhuanYeJiShuZhiWu_Node);
this.ShuXiZhuanYeYouHeZhuanChang = XMLXPath.getSingleValueByPath(document,ShuXiZhuanYeYouHeZhuanChang_Node);
this.QuanRiZhiJiaoYu_XueLi = XMLXPath.getSingleValueByPath(document,QuanRiZhiJiaoYu_XueLi_Node);
this.QuanRiZhiJiaoYu_XueWei = XMLXPath.getSingleValueByPath(document,QuanRiZhiJiaoYu_XueWei_Node);
this.QuanRiZhiJiaoYu_XueLi_BiYeYuanXiaoXi = XMLXPath.getSingleValueByPath(document,QuanRiZhiJiaoYu_XueLi_BiYeYuanXiaoXi_Node);
this.QuanRiZhiJiaoYu_XueWei_BiYeYuanXiaoXi = XMLXPath.getSingleValueByPath(document,QuanRiZhiJiaoYu_XueWei_BiYeYuanXiaoXi_Node);
this.ZaiZhiJiaoYu_XueLi = XMLXPath.getSingleValueByPath(document,ZaiZhiJiaoYu_XueLi_Node);
this.ZaiZhiJiaoYu_XueWei = XMLXPath.getSingleValueByPath(document,ZaiZhiJiaoYu_XueWei_Node);
this.ZaiZhiJiaoYu_XueLi_BiYeYuanXiaoXi = XMLXPath.getSingleValueByPath(document,ZaiZhiJiaoYu_XueLi_BiYeYuanXiaoXi_Node);
this.ZaiZhiJiaoYu_XueWei_BiYeYuanXiaoXi = XMLXPath.getSingleValueByPath(document,ZaiZhiJiaoYu_XueWei_BiYeYuanXiaoXi_Node);
this.XianRenZhiWu = XMLXPath.getSingleValueByPath(document,XianRenZhiWu_Node);
this.NiRenZhiWu = XMLXPath.getSingleValueByPath(document,NiRenZhiWu_Node);
this.NiMianZhiWu = XMLXPath.getSingleValueByPath(document,NiMianZhiWu_Node);
this.JianLi = XMLXPath.getSingleValueByPath(document,JianLi_Node);
this.JiangChengQingKuang = XMLXPath.getSingleValueByPath(document,JiangChengQingKuang_Node);
this.NianDuKaoHeJieGuo = XMLXPath.getSingleValueByPath(document,NianDuKaoHeJieGuo_Node);
this.RenMianLiYou = XMLXPath.getSingleValueByPath(document,RenMianLiYou_Node);
this.ChengBaoDanWei = XMLXPath.getSingleValueByPath(document,ChengBaoDanWei_Node);
this.JiSuanNianLingShiJian = XMLXPath.getSingleValueByPath(document,JiSuanNianLingShiJian_Node);
this.TianBiaoShiJian = XMLXPath.getSingleValueByPath(document,TianBiaoShiJian_Node);
this.TianBiaoRen = XMLXPath.getSingleValueByPath(document,TianBiaoRen_Node);
this.ShenFenZheng = XMLXPath.getSingleValueByPath(document,ShenFenZheng_Node);
this.ZhaoPian = XMLXPath.getSingleValueByPath(document,ZhaoPian_Node);
this.Version = XMLXPath.getSingleValueByPath(document,Version_Node);
Date chushengDate = DateUtil.parseDate(this.ChuShengNianYue,"yyyyMM");
int age = DateUtil.getAgeByBirth(chushengDate);
this.Age = String.valueOf(age);
List<Node> JiaTingChengYuan_Node = XMLXPath.getPathValues(document,JiaTingChengYuan_ChengWei_Node);
List<Family> familyList = new ArrayList<>();
if (!JiaTingChengYuan_Node.isEmpty()){
for (Node node:JiaTingChengYuan_Node
) {
Family family = new Family();
family.setChengWei(node.selectSingleNode("ChengWei").getText());
family.setXingMing(node.selectSingleNode("XingMing").getText());
family.setZhengZhiMianMao(node.selectSingleNode("ZhengZhiMianMao").getText());
family.setGongZuoDanWeiJiZhiWu(node.selectSingleNode("GongZuoDanWeiJiZhiWu").getText());
family.setChuShengRiQi(node.selectSingleNode("ChuShengRiQi").getText());
family.setAge();
familyList.add(family);
}
log.info("家庭部分解析完成");
this.JiaTingChengYuan = familyList;
}
log.info("XML解析完成");
}catch (DocumentException e){
e.printStackTrace();
}catch (ParseException e){
this.Age = "0";
}
}
public Person() {
}
}
... ...
package com.sunyo.office.task;
import com.sunyo.office.model.Person;
import com.tianbo.util.Bean.Bean2Map;
import freemarker.template.Configuration;
import freemarker.template.Template;
import freemarker.template.TemplateException;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.io.FileUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import org.springframework.ui.freemarker.FreeMarkerTemplateUtils;
import javax.annotation.PostConstruct;
import java.io.File;
import java.io.IOException;
import java.util.*;
@Slf4j
@Component
public class ParseTask {
//读取目录
@Value("${custom.readDir}")
private String readDir;
@Autowired
private Configuration freemakerTemplate;
private static ParseTask parseTask;
@PostConstruct //通过@PostConstruct实现初始化bean之前进行的操作
public void init() {
parseTask = this;
parseTask.readDir = this.readDir;
parseTask.freemakerTemplate = this.freemakerTemplate;
}
@Scheduled(fixedRate = 50000)
public void parse(){
File fileDirectory = new File(parseTask.readDir);
List<File> files = (List) FileUtils.listFiles(fileDirectory, new String[]{"lrmx"}, false);
List<Person> personList = new ArrayList<>();
if (files!=null && !files.isEmpty()){
log.info("开始读取导入目录");
for (File file:files
) {
Person person = new Person(file);
build(person);
personList.add(person);
}
buildExcel(personList);
}
}
public void build(Person person){
try{
Template template = freemakerTemplate.getTemplate("moban2.ftlx");
Map<String,Object> map = new HashMap<>();
map = Bean2Map.object2Map(person);
String content = FreeMarkerTemplateUtils.processTemplateIntoString(template,map);
String filename = "./word/"+person.getXingMing()+UUID.randomUUID().toString()+".doc";
File sendfile = new File(filename);
FileUtils.writeStringToFile(sendfile,content,"UTF-8");
log.info("生成word完成");
}catch (IOException e){
e.printStackTrace();
}catch (TemplateException e){
e.printStackTrace();
}
}
public void buildExcel(List personList){
try{
Template template = freemakerTemplate.getTemplate("excel.ftlx");
Map<String,Object> map = new HashMap<>();
map.put("personList",personList);
String content = FreeMarkerTemplateUtils.processTemplateIntoString(template,map);
String filename = "./excel/"+UUID.randomUUID().toString()+".xls";
File sendfile = new File(filename);
FileUtils.writeStringToFile(sendfile,content,"UTF-8");
log.info("生成excel完成");
}catch (IOException e){
e.printStackTrace();
}catch (TemplateException e){
e.printStackTrace();
}
}
}
... ...
${AnsiColor.YELLOW}
#####################################################
# #
# _oo0oo_ #
# o8888888o #
# 88" . "88 #
# (| -_- |) #
# 0\ = /0 #
# ___/`---'\___ #
# .' \\| |# '. #
# / \\||| : |||# \ #
# / _||||| -:- |||||- \ #
# | | \\\ - #/ | | #
# | \_| ''\---/'' |_/ | #
# \ .-\__ '-' ___/-. / #
# ___'. .' /--.--\ `. .'___ #
# ."" '< `.___\_<|>_/___.' >' "". #
# | | : `- \`.;`\ _ /`;.`/ - ` : | | #
# \ \ `_. \_ __\ /__ _/ .-` / / #
# =====`-.____`.___ \_____/___.-`___.-'===== #
# `=---=' #
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #
# #
# 佛祖保佑 永不宕机 永无Bug #
# #
#####################################################
====================mrz==============================
Application Info:${application.title}
ver:${application.version}
Powered by:Spring Boot ${spring-boot.version}
\ No newline at end of file
... ...
<?xml version="1.0"?>
<Workbook xmlns="urn:schemas-microsoft-com:office:spreadsheet" xmlns:html="http://www.w3.org/TR/REC-html40" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:ss="urn:schemas-microsoft-com:office:spreadsheet" xmlns:x="urn:schemas-microsoft-com:office:excel">
<DocumentProperties xmlns="urn:schemas-microsoft-com:office:office">
<Created>2006-09-13T11:21:51Z</Created>
<LastSaved>2019-12-10T11:16:17Z</LastSaved>
<Version>15.0</Version>
</DocumentProperties>
<OfficeDocumentSettings xmlns="urn:schemas-microsoft-com:office:office">
<AllowPNG/>
<RemovePersonalInformation/>
<PixelsPerInch>96</PixelsPerInch>
</OfficeDocumentSettings>
<ExcelWorkbook xmlns="urn:schemas-microsoft-com:office:excel">
<WindowHeight>11640</WindowHeight>
<WindowWidth>19200</WindowWidth>
<WindowTopX>9260</WindowTopX>
<WindowTopY>1380</WindowTopY>
<TabRatio>600</TabRatio>
<ProtectStructure>False</ProtectStructure>
<ProtectWindows>False</ProtectWindows>
</ExcelWorkbook>
<Styles>
<Style ss:ID="Default" ss:Name="Normal">
<Alignment ss:Vertical="Center"/>
<Borders/>
<Font ss:Color="#000000" ss:FontName="DengXian" ss:Size="11" x:CharSet="134"/>
<Interior/>
<NumberFormat/>
<Protection/>
</Style>
</Styles>
<Worksheet ss:Name="Sheet1">
<Table ss:DefaultColumnWidth="53" ss:DefaultRowHeight="15" ss:ExpandedColumnCount="12" x:FullColumns="1" x:FullRows="1">
<Column ss:AutoFitWidth="0" ss:Index="2" ss:Span="1" ss:Width="45"/>
<Column ss:Index="8" ss:Width="66"/>
<Row>
<Cell>
<Data ss:Type="String">序号</Data>
</Cell>
<Cell>
<Data ss:Type="String">姓名</Data>
</Cell>
<Cell>
<Data ss:Type="String">出生年月</Data>
</Cell>
<Cell>
<Data ss:Type="String">性别</Data>
</Cell>
<Cell>
<Data ss:Type="String">民族</Data>
</Cell>
<Cell>
<Data ss:Type="String">籍贯</Data>
</Cell>
<Cell>
<Data ss:Type="String">现任职务</Data>
</Cell>
<Cell>
<Data ss:Type="String">全日制学历</Data>
</Cell>
<Cell>
<Data ss:Type="String">全日制学位</Data>
</Cell>
<Cell>
<Data ss:Type="String">在职学历</Data>
</Cell>
<Cell>
<Data ss:Type="String">在职学位</Data>
</Cell>
<Cell>
<Data ss:Type="String">处分情况</Data>
</Cell>
</Row>
<#list personList as person>
<Row>
<Cell>
<Data ss:Type="String">${person_index}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.xingMing}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.chuShengNianYue}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.xingBie}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.minZu}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.jiGuan}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.xianRenZhiWu}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.quanRiZhiJiaoYu_XueLi}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.quanRiZhiJiaoYu_XueWei}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.zaiZhiJiaoYu_XueLi}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.zaiZhiJiaoYu_XueWei}</Data>
</Cell>
<Cell>
<Data ss:Type="String">${person.renMianLiYou}</Data>
</Cell>
</Row>
</#list>
</Table>
<WorksheetOptions xmlns="urn:schemas-microsoft-com:office:excel">
<PageSetup>
<Header x:Margin="0.3"/>
<Footer x:Margin="0.3"/>
<PageMargins x:Bottom="0.75" x:Left="0.7" x:Right="0.7" x:Top="0.75"/>
</PageSetup>
<Print>
<ValidPrinterInfo/>
<PaperSizeIndex>9</PaperSizeIndex>
<HorizontalResolution>200</HorizontalResolution>
<VerticalResolution>200</VerticalResolution>
</Print>
<PageLayoutZoom>0</PageLayoutZoom>
<Selected/>
<Panes>
<Pane>
<Number>3</Number>
<ActiveRow>8</ActiveRow>
<ActiveCol>8</ActiveCol>
</Pane>
</Panes>
<ProtectObjects>False</ProtectObjects>
<ProtectScenarios>False</ProtectScenarios>
</WorksheetOptions>
</Worksheet>
<Worksheet ss:Name="Sheet2">
<Table ss:DefaultColumnWidth="53" ss:DefaultRowHeight="15" ss:ExpandedColumnCount="1" ss:ExpandedRowCount="1" x:FullColumns="1" x:FullRows="1"/>
<WorksheetOptions xmlns="urn:schemas-microsoft-com:office:excel">
<PageSetup>
<Header x:Margin="0.3"/>
<Footer x:Margin="0.3"/>
<PageMargins x:Bottom="0.75" x:Left="0.7" x:Right="0.7" x:Top="0.75"/>
</PageSetup>
<Print>
<ValidPrinterInfo/>
<PaperSizeIndex>9</PaperSizeIndex>
<HorizontalResolution>200</HorizontalResolution>
<VerticalResolution>200</VerticalResolution>
</Print>
<PageLayoutZoom>0</PageLayoutZoom>
<ProtectObjects>False</ProtectObjects>
<ProtectScenarios>False</ProtectScenarios>
</WorksheetOptions>
</Worksheet>
<Worksheet ss:Name="Sheet3">
<Table ss:DefaultColumnWidth="53" ss:DefaultRowHeight="15" ss:ExpandedColumnCount="1" ss:ExpandedRowCount="1" x:FullColumns="1" x:FullRows="1"/>
<WorksheetOptions xmlns="urn:schemas-microsoft-com:office:excel">
<PageSetup>
<Header x:Margin="0.3"/>
<Footer x:Margin="0.3"/>
<PageMargins x:Bottom="0.75" x:Left="0.7" x:Right="0.7" x:Top="0.75"/>
</PageSetup>
<Print>
<ValidPrinterInfo/>
<PaperSizeIndex>9</PaperSizeIndex>
<HorizontalResolution>200</HorizontalResolution>
<VerticalResolution>200</VerticalResolution>
</Print>
<PageLayoutZoom>0</PageLayoutZoom>
<ProtectObjects>False</ProtectObjects>
<ProtectScenarios>False</ProtectScenarios>
</WorksheetOptions>
</Worksheet>
</Workbook>
\ No newline at end of file
... ...
此 diff 太大无法显示。
<?xml version="1.0" encoding="utf-8"?>
<Person>
<XingMing>某某</XingMing>
<XingBie></XingBie>
<ChuShengNianYue>197802</ChuShengNianYue>
<MinZu></MinZu>
<JiGuan>北京市</JiGuan>
<ChuShengDi>河南郑州</ChuShengDi>
<RuDangShiJian>199810</RuDangShiJian>
<CanJiaGongZuoShiJian>199810</CanJiaGongZuoShiJian>
<JianKangZhuangKuang>健康</JianKangZhuangKuang>
<ZhuanYeJiShuZhiWu>工程师</ZhuanYeJiShuZhiWu>
<ShuXiZhuanYeYouHeZhuanChang>写作</ShuXiZhuanYeYouHeZhuanChang>
<QuanRiZhiJiaoYu_XueLi>大学</QuanRiZhiJiaoYu_XueLi>
<QuanRiZhiJiaoYu_XueWei>法学学士</QuanRiZhiJiaoYu_XueWei>
<QuanRiZhiJiaoYu_XueLi_BiYeYuanXiaoXi>北京大学法学系</QuanRiZhiJiaoYu_XueLi_BiYeYuanXiaoXi>
<QuanRiZhiJiaoYu_XueWei_BiYeYuanXiaoXi>清华大学法学系</QuanRiZhiJiaoYu_XueWei_BiYeYuanXiaoXi>
<ZaiZhiJiaoYu_XueLi>研究生</ZaiZhiJiaoYu_XueLi>
<ZaiZhiJiaoYu_XueWei>法学博士</ZaiZhiJiaoYu_XueWei>
<ZaiZhiJiaoYu_XueLi_BiYeYuanXiaoXi>西北政法大学法学系</ZaiZhiJiaoYu_XueLi_BiYeYuanXiaoXi>
<ZaiZhiJiaoYu_XueWei_BiYeYuanXiaoXi>北京大学法学系</ZaiZhiJiaoYu_XueWei_BiYeYuanXiaoXi>
<XianRenZhiWu>南国市司法局局长</XianRenZhiWu>
<NiRenZhiWu>
</NiRenZhiWu>
<NiMianZhiWu>
</NiMianZhiWu>
<JianLi>1994.06--1998.06 北京大学法学系学习
1998.06--1998.10 毕业待分配
1998.10--1999.10 南国市司法局科员(试用期一年)
2001.10--2004.10 南国市司法局副主任科员
2007.10--2011.06 南国市司法局办公室主任
2015.06--2019.06 南国市司法局副局长
2019.06-- 南国市司法局局长</JianLi>
<JiangChengQingKuang>2017年表现突出,受嘉奖一次。</JiangChengQingKuang>
<NianDuKaoHeJieGuo>2017年—2018年年度考核均为优秀</NianDuKaoHeJieGuo>
<RenMianLiYou>
</RenMianLiYou>
<JiaTingChengYuan>
<Item>
<ChengWei>妻子</ChengWei>
<XingMing>花花</XingMing>
<ChuShengRiQi>198807</ChuShengRiQi>
<ZhengZhiMianMao>群众</ZhengZhiMianMao>
<GongZuoDanWeiJiZhiWu>自由职业</GongZuoDanWeiJiZhiWu>
</Item>
<Item>
<ChengWei>儿子</ChengWei>
<XingMing>大白</XingMing>
<ChuShengRiQi>200808</ChuShengRiQi>
<ZhengZhiMianMao>群众</ZhengZhiMianMao>
<GongZuoDanWeiJiZhiWu>高中生</GongZuoDanWeiJiZhiWu>
</Item>
</JiaTingChengYuan>
<ChengBaoDanWei>
</ChengBaoDanWei>
<JiSuanNianLingShiJian>20191115</JiSuanNianLingShiJian>
<TianBiaoShiJian>
</TianBiaoShiJian>
<TianBiaoRen>
</TianBiaoRen>
<ShenFenZheng>
</ShenFenZheng>
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</ZhaoPian>
<Version>3.2.1.16</Version>
</Person>
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