要在spring boot中实现敏感词过滤功能,可以使用一些现有的java库来处理敏感词过滤,例如,可以使用 ansj 中文分词库或者使用一些其他开源的敏感词过滤库。以下是一个使用 ansj 实现敏感词过滤的简单示例。
1. 首先,在 pom.xml 文件中添加依赖:
<?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>
<groupid>cn.cjc.demo</groupid>
<artifactid>testdemo</artifactid>
<version>1.0-snapshot</version>
<parent>
<groupid>org.springframework.boot</groupid>
<artifactid>spring-boot-starter-parent</artifactid>
<version>2.6.6</version>
<relativepath />
</parent>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<project.build.sourceencoding>utf-8</project.build.sourceencoding>
</properties>
<dependencies>
<dependency>
<groupid>org.ansj</groupid>
<artifactid>ansj_seg</artifactid>
<version>5.1.2</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>public</id>
<name>aliyun nexus</name>
<url>http://maven.aliyun.com/nexus/content/groups/public/</url>
<releases>
<enabled>true</enabled>
</releases>
</repository>
</repositories>
</project>
2. 在 application.yaml 文件中添加配置:
sensitive:
word:
file-path: classpath:sensitive-words.txt
spring:
main:
allow-bean-definition-overriding: true
3. 在类路径下创建一个名为 sensitive-words.txt 的文件,其中包含敏感词列表,每个词占一行。
4. 配置 sensitivewordfilter 过滤器的 bean。在 spring boot 应用配置类中添加以下配置:
package cn.cjc.config;
import org.springframework.context.annotation.bean;
import org.springframework.context.annotation.configuration;
@configuration
public class sensitiveconfig {
@bean
public sensitivewordfilter sensitivewordfilter() {
return new sensitivewordfilter();
}
}
这样,spring 容器会自动创建 sensitivewordfilter 的实例,并且注入所需的敏感词文件路径。在服务类或控制器中,可以通过 @autowired 注解来注入 sensitivewordfilter。
然后,创建一个敏感词过滤的工具类,例如 sensitivewordfilter.java:
package cn.cjc.config;
import org.ansj.domain.term;
import org.ansj.splitword.analysis.toanalysis;
import org.springframework.beans.factory.annotation.value;
import org.springframework.core.io.resource;
import org.springframework.stereotype.component;
import org.springframework.util.filecopyutils;
import javax.annotation.postconstruct;
import java.io.ioexception;
import java.util.hashset;
import java.util.list;
import java.util.set;
@component
public class sensitivewordfilter {
@value("${sensitive.word.file-path}")
private resource sensitivewordfile;
private set<string> sensitivewords;
@postconstruct
public void init() {
this.sensitivewords = loadsensitivewords();
}
private set<string> loadsensitivewords() {
set<string> words = new hashset<>();
try {
// 从敏感词文件中加载敏感词
string content = new string(filecopyutils.copytobytearray(sensitivewordfile.getinputstream()), "utf-8");
string[] wordarray = content.split("\n");
for (string word : wordarray) {
words.add(word.trim());
}
} catch (ioexception e) {
e.printstacktrace();
}
return words;
}
public string filtersensitivewords(string input) {
list<term> terms = toanalysis.parse(input).getterms();
stringbuilder filteredtext = new stringbuilder(input);
for (term term : terms) {
if (sensitivewords.contains(term.getname())) {
// 将敏感词替换为*
replacesensitiveword(filteredtext, term.getname());
}
}
return filteredtext.tostring();
}
private void replacesensitiveword(stringbuilder text, string sensitiveword) {
int index = text.indexof(sensitiveword);
while (index != -1) {
text.replace(index, index + sensitiveword.length(), "*");
index = text.indexof(sensitiveword, index + 1);
}
}
}
5. 在服务类或控制器中使用 sensitivewordfilter 进行敏感词过滤:
package cn.cjc.controller;
import cn.cjc.config.sensitivewordfilter;
import org.springframework.web.bind.annotation.postmapping;
import org.springframework.web.bind.annotation.requestparam;
import org.springframework.web.bind.annotation.restcontroller;
import javax.annotation.resource;
@restcontroller
public class testcontroller {
@resource
private sensitivewordfilter sensitivewordfilter;
@postmapping("/filter")
public string filtersensitivewords(@requestparam string input) {
return sensitivewordfilter.filtersensitivewords(input);
}
}
这只是一个简单的敏感词过滤的实现示例。在实际应用中,可能需要更复杂的算法或结合其他库来进行更全面的敏感词过滤。
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