springboot整合deepseek技术指南(2025版)
环境准备
com.deepseek deepseek-java-sdk 2.5.0 org.springframework.boot spring-boot-starter-webflux
配置中心设置
# application.yml deepseek: api: base-url: https://api.deepseek.com/v2 token: ${deepseek_api_key} # 从环境变量读取 timeout: 10000 # 毫秒 retry: max-attempts: 3 backoff: 2000
核心服务类实现
@service @slf4j public class deepseekservice { @value("${deepseek.api.base-url}") private string baseurl; @value("${deepseek.api.token}") private string apitoken; private final webclient webclient; public deepseekservice(webclient.builder webclientbuilder) { this.webclient = webclientbuilder.baseurl(baseurl) .defaultheader("authorization", "bearer " + apitoken) .build(); } /** * 通用ai请求方法 * @param request 包含prompt和参数的dto对象 * @return 生成的文本内容 */ public monogeneratecontent(deepseekrequest request) { return webclient.post() .uri("/generate") .bodyvalue(request) .retrieve() .bodytomono(deepseekresponse.class) .timeout(duration.ofmillis(10000)) .retrywhen(retry.backoff(3, duration.ofseconds(2))) .map(response -> { if (response.getcode() != 200) { throw new deepseekexception(response.getmsg()); } return response.getdata().gettext(); }); } }
异常处理增强
@restcontrolleradvice public class deepseekexceptionhandler { @exceptionhandler(deepseekexception.class) public responseentityhandledeepseekexception(deepseekexception ex) { errorresult error = new errorresult("deepseek_error", "ai服务异常: " + ex.getmessage()); return responseentity.status(502).body(error); } @exceptionhandler(webclientresponseexception.class) public responseentity handlewebclientexception(webclientresponseexception ex) { errorresult error = new errorresult("network_error", "接口通信失败: " + ex.getstatuscode()); return responseentity.status(503).body(error); } }
实际应用场景
场景1:自动生成文章草稿
@postmapping("/generate-article") public mono> generatearticle(@requestbody articlerequest request) { string prompt = string.format("生成一篇关于%s的技术文章,包含以下要素:%s", request.gettopic(), string.join(",", request.getkeywords())); deepseekrequest deepseekrequest = new deepseekrequest( prompt, "technical_writing", 0.7, 1024 ); return deepseekservice.generatecontent(deepseekrequest) .map(content -> { string formatted = contentformatter.formatmarkdown(content); return responseentity.ok(formatted); }); }
场景2:智能内容优化
@postmapping("/optimize-content") public mono> optimizecontent( @requestbody string rawcontent) { string optimizationprompt = "优化以下内容使其更符合新媒体传播:\n" + rawcontent; return deepseekservice.generatecontent( new deepseekrequest(optimizationprompt, "content_optimization", 0.5, 512)) .zipwith(deepseekservice.generatecontent( new deepseekrequest("生成5个爆款标题", "title_generation", 0.9, 128))) .map(tuple -> { contentoptimization result = new contentoptimization(); result.setoptimizedcontent(tuple.gett1()); result.settitles(arrays.aslist(tuple.gett2().split("\n"))); return responseentity.ok(result); }); }
测试方案
@springboottest class deepseekservicetest { @autowired private deepseekservice deepseekservice; @test void testtechnicalwriting() { deepseekrequest request = new deepseekrequest( "用java解释量子计算基础", "technical_writing", 0.6, 800 ); stepverifier.create(deepseekservice.generatecontent(request)) .assertnext(content -> { asserttrue(content.contains("量子比特")); asserttrue(content.length() > 500); }) .verifycomplete(); } }
性能优化建议
- 使用
@cacheable
对重复请求进行缓存 - 配置hystrix熔断机制(qps超过50时建议启用)
- 批量请求使用deepseek的batch api
- 异步日志记录采用disruptor模式
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