前言
对于目前的deepseek大家应该都不是很陌生,目前也是最流行的一款ai软件了,所以为了让我们开发更全面,能够在自己的项目中融入ai那就会很全面了,所以这次的文章,将模拟一个基础案例,可以在这个基础案例迭代实现出你自己的ai。
话不多说,也不介绍我的网站了,直接开始进行一下流程。
使用的:jdk 17
1、获取自己在deepseek上的token
网站: deepseek | 深度求索 ,点击api开放平台找到api keys 获取自己的key,注意你的key一定要保存好了

2、引入依赖
这个就不多说了,在你的pom文件中引入相对应的依赖即可。
<dependencies>
<!-- https://mvnrepository.com/artifact/org.springframework.boot/spring-boot-starter-web -->
<dependency>
<groupid>org.springframework.boot</groupid>
<artifactid>spring-boot-starter-web</artifactid>
<version>3.4.2</version>
</dependency>
<dependency>
<groupid>org.springframework.boot</groupid>
<artifactid>spring-boot-starter-test</artifactid>
<version>3.4.2</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.projectlombok/lombok -->
<dependency>
<groupid>org.projectlombok</groupid>
<artifactid>lombok</artifactid>
<version>1.18.30</version>
<scope>provided</scope>
</dependency>
<!-- http客户端 -->
<dependency>
<groupid>com.squareup.okhttp3</groupid>
<artifactid>okhttp</artifactid>
<version>4.9.0</version>
</dependency>
<!-- json处理 -->
<dependency>
<groupid>com.google.code.gson</groupid>
<artifactid>gson</artifactid>
<version>2.10.1</version>
</dependency>
<dependency>
<groupid>com.mashape.unirest</groupid>
<artifactid>unirest-java</artifactid>
<version>1.4.9</version>
</dependency>
<dependency>
<groupid>org.apache.httpcomponents</groupid>
<artifactid>httpclient</artifactid>
<version>4.3.6</version>
</dependency>
<dependency>
<groupid>org.apache.httpcomponents</groupid>
<artifactid>httpasyncclient</artifactid>
<version>4.0.2</version>
</dependency>
<dependency>
<groupid>org.apache.httpcomponents</groupid>
<artifactid>httpmime</artifactid>
<version>4.3.6</version>
</dependency>
<dependency>
<groupid>org.json</groupid>
<artifactid>json</artifactid>
<version>20140107</version>
</dependency>
</dependencies>3、创建实体类
@data
@builder
public class deeseekrequest {
private string model;
private list<message> messages;
@data
@builder
public static class message {
private string role;
private string content;
}
}4、创建controller层
package com.wdc.dk;
import com.google.gson.gson;
import com.mashape.unirest.http.httpresponse;
import com.mashape.unirest.http.unirest;
import com.mashape.unirest.http.exceptions.unirestexception;
import okhttp3.mediatype;
import okhttp3.okhttpclient;
import okhttp3.request;
import okhttp3.requestbody;
import okhttp3.response;
import org.junit.jupiter.api.test;
import org.springframework.beans.factory.annotation.value;
import org.springframework.web.bind.annotation.*;
import java.io.ioexception;
import java.util.arraylist;
import java.util.collections;
import java.util.list;
@restcontroller
public class aicontroller {
private final gson gson = new gson();
@postmapping("tall")
public string tallquestion(@org.springframework.web.bind.annotation.requestbody string question) throws ioexception, unirestexception {
unirest.settimeouts(0, 0);
//deeseekrequest: 自己的实体类名称
list<deeseekrequest.message> messages = new arraylist<>();
//给deepseek一个角色
messages.add(deeseekrequest.message.builder().role("system").content("你是一个语言学家").build());
// question:说你自己想说的话
messages.add(deeseekrequest.message.builder().role("user").content(question).build());
deeseekrequest requestbody = deeseekrequest.builder()
.model("deepseek-chat")
.messages(messages)
.build();
httpresponse<string> response = unirest.post("https://api.deepseek.com/chat/completions")
.header("content-type", "application/json")
.header("accept", "application/json")
.header("authorization", "bearer "+"自己的key")
.body(gson.tojson(requestbody))
.asstring();
return response.getbody();
}
}5、启动项目、调用自己的接口

你就会发现,你所需要的答案就会被ai回答出来,快去试试吧,像你的目标前进!
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