导读
导读 | 12月总体来说互联网的技术圈是非常热闹的，chatGPT爆火，SpringBoot3.0发布等重磅陆消息续进入大家的视线，而本文作者将以技术整合的角度，带大家把最火的两个技术整合在一起。读完本文，你将熟悉SpringBoot3.0自定stater模块的操作流程，并熟悉OpenAi为chatGPT提供的49种场景。
项目项目我已经提交GITEE：https://gitee.com/miukoo/openai-spring 欢迎Star
新建父项目
我们这个项目分为starter和test两个模块，因此需要一个父项目来包裹。
1、快速新建父项目
2、在pom.xml中引入SpringBoot3.0
- 项目的父工程设置成SpringBoot3.0
- 在项目中定义openai的版本并导入(com.theokanning.openai-gpt3-java)
<projectxmlns="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"><modules><module>openai-spring-boot-starter</module><module>openai-starter-test</module></modules><packaging>pom</packaging><modelVersion>4.0.0</modelVersion><groupId>cn.gjsm</groupId><artifactId>openai-spring</artifactId><version>1.0-SNAPSHOT</version><properties><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding><project.reporting.sourceEncoding>UTF-8</project.reporting.sourceEncoding><openai-version>0.8.1</openai-version></properties><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>3.0.0</version></parent><dependencyManagement><dependencies><dependency><groupId>com.theokanning.openai-gpt3-java</groupId><artifactId>client</artifactId><version>${openai-version}</version></dependency></dependencies></dependencyManagement><dependencies><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId></dependency></dependencies></project>
3、删除父项目的src文件夹
新建openai-spring-boot-starter模块
openai-spring-boot-starter 模块主要用来封装openai的核心api，该模块就是springboot自定starter的标准5步：
- 新建模块
- 在模块中引入相关依赖
- 定义模块外部属性有那些
- 实现核心业务逻辑
- 配置自动装配
1、新增模块
注意模块名称的规范：非官方starter命名规则为 模块名称+'-spring-boot-starter’结尾
2、在模块中引入相关依赖
<projectxmlns="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"><packaging>pom</packaging><parent><artifactId>openai-spring</artifactId><groupId>cn.gjsm</groupId><version>1.0-SNAPSHOT</version></parent><modelVersion>4.0.0</modelVersion><groupId>cn.gjsm</groupId><artifactId>openai-spring-boot-starter</artifactId><version>1.0-SNAPSHOT</version><dependencies><!-- 自定义starter必须导入的依赖 --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter</artifactId></dependency><!-- 这个包可以用来支持自定义属性的输入提示 --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-configuration-processor</artifactId><optional>true</optional></dependency><!-- 导入openai依赖，版本在父项目中已经约束 --><dependency><groupId>com.theokanning.openai-gpt3-java</groupId><artifactId>client</artifactId></dependency></dependencies></project>
3、定义模块外部属性有那些
通过@ConfigurationProperties配置一个类，这个类中的属性将从外部的application.yml中读取。在这里OpenAi需要两个属性需要配置，一是token秘钥，一是timeout超时时间。关于timeout可以配置时间长一点，因为OpenAi在国外有些慢。
packagecn.gjsm.miukoo.properties;importcn.gjsm.miukoo.utils.OpenAiUtils;importlombok.Data;importorg.springframework.beans.factory.InitializingBean;importorg.springframework.boot.context.properties.ConfigurationProperties;@Data@ConfigurationProperties(prefix ="openai")publicclassOpenAiPropertiesimplementsInitializingBean{// 秘钥String token;// 超时时间Integer timeout;// 设置属性时同时设置给OpenAiUtils@OverridepublicvoidafterPropertiesSet()throwsException{OpenAiUtils.OPENAPI_TOKEN= token;OpenAiUtils.TIMEOUT= timeout;}}
4、实现核心业务逻辑
核心业务逻辑指的就是你自定义这个starter可以提供给其它模块那些api使用；在这里我们直接通过一个静态类工具OpenAiUtils，这样在引入该模块后，其它模块直接可调用该静态工具类，使用便捷一些。
同时在这个类中提供openai官方49种场景想对应的方法。
packagecn.gjsm.miukoo.utils;importcn.gjsm.miukoo.pojos.OpenAi;importcom.theokanning.openai.OpenAiService;importcom.theokanning.openai.completion.CompletionChoice;importcom.theokanning.openai.completion.CompletionRequest;importorg.springframework.util.StringUtils;importjava.util.*;/**
* 调用OpenAi的49中方法
*/publicclassOpenAiUtils{publicstaticfinalMap<String,OpenAi>PARMS=newHashMap<>();static{PARMS.put("OpenAi01",newOpenAi("OpenAi01","问&答","依据现有知识库问&答","text-davinci-003","Q: %s\nA:",0.0,1.0,1.0,0.0,0.0,"\n"));PARMS.put("OpenAi02",newOpenAi("OpenAi02","语法纠正","将句子转换成标准的英语，输出结果始终是英文","text-davinci-003","%s",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi03",newOpenAi("OpenAi03","内容概况","将一段话，概况中心","text-davinci-003","Summarize this for a second-grade student:\n%s",0.7,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi04",newOpenAi("OpenAi04","生成OpenAi的代码","一句话生成OpenAi的代码","code-davinci-002","\"\"\"\nUtil exposes the following:\nutil.openai() -> authenticates & returns the openai module, which has the following functions:\nopenai.Completion.create(\n prompt=\"<my prompt>\", # The prompt to start completing from\n max_tokens=123, # The max number of tokens to generate\n temperature=1.0 # A measure of randomness\n echo=True, # Whether to return the prompt in addition to the generated completion\n)\n\"\"\"\nimport util\n\"\"\"\n%s\n\"\"\"\n\n",0.0,1.0,1.0,0.0,0.0,"\"\"\""));PARMS.put("OpenAi05",newOpenAi("OpenAi05","程序命令生成","一句话生成程序的命令，目前支持操作系统指令比较多","text-davinci-003","Convert this text to a programmatic command:\n\nExample: Ask Constance if we need some bread\nOutput: send-msg `find constance` Do we need some bread?\n\n%s",0.0,1.0,1.0,0.2,0.0,""));PARMS.put("OpenAi06",newOpenAi("OpenAi06","语言翻译","把一种语法翻译成其它几种语言","text-davinci-003","Translate this into %s:\n%s",0.3,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi07",newOpenAi("OpenAi07","Stripe国际API生成","一句话生成Stripe国际支付API","code-davinci-002","\"\"\"\nUtil exposes the following:\n\nutil.stripe() -> authenticates & returns the stripe module; usable as stripe.Charge.create etc\n\"\"\"\nimport util\n\"\"\"\n%s\n\"\"\"",0.0,1.0,1.0,0.0,0.0,"\"\"\""));PARMS.put("OpenAi08",newOpenAi("OpenAi08","SQL语句生成","依据上下文中的表信息，生成SQL语句","code-davinci-002","### %s SQL tables, 表字段信息如下:\n%s\n#\n### %s\n %s",0.0,1.0,1.0,0.0,0.0,"# ;"));PARMS.put("OpenAi09",newOpenAi("OpenAi09","结构化生成","对于非结构化的数据抽取其中的特征生成结构化的表格","text-davinci-003","A table summarizing, use Chinese:\n%s\n",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi10",newOpenAi("OpenAi10","信息分类","把一段信息继续分类","text-davinci-003","%s\n分类:",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi11",newOpenAi("OpenAi11","Python代码解释","把代码翻译成文字，用来解释程序的作用","code-davinci-002","# %s \n %s \n\n# 解释代码作用\n\n#",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi12",newOpenAi("OpenAi12","文字转表情符号","将文本编码成表情服务","text-davinci-003","转换文字为表情。\n%s：",0.8,1.0,1.0,0.0,0.0,"\n"));PARMS.put("OpenAi13",newOpenAi("OpenAi13","时间复杂度计算","求一段代码的时间复杂度","text-davinci-003","%s\n\"\"\"\n函数的时间复杂度是",0.0,1.0,1.0,0.0,0.0,"\n"));PARMS.put("OpenAi14",newOpenAi("OpenAi14","程序代码翻译","把一种语言的代码翻译成另外一种语言的代码","code-davinci-002","##### 把这段代码从%s翻译成%s\n### %s\n \n %s\n \n### %s",0.0,1.0,1.0,0.0,0.0,"###"));PARMS.put("OpenAi15",newOpenAi("OpenAi15","高级情绪评分","支持批量列表的方式检查情绪","text-davinci-003","对下面内容进行情感分类:\n%s\"\n情绪评级:",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi16",newOpenAi("OpenAi16","代码解释","对一段代码进行解释","code-davinci-002","代码:\n%s\n\"\"\"\n上面的代码在做什么:\n1. ",0.0,1.0,1.0,0.0,0.0,"\"\"\""));PARMS.put("OpenAi17",newOpenAi("OpenAi17","关键字提取","提取一段文本中的关键字","text-davinci-003","抽取下面内容的关键字:\n%s",0.5,1.0,1.0,0.8,0.0,""));PARMS.put("OpenAi18",newOpenAi("OpenAi18","问题解答","类似解答题","text-davinci-003","Q: %s\nA: ?",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi19",newOpenAi("OpenAi19","广告设计","给一个产品设计一个广告","text-davinci-003","为下面的产品创作一个创业广告，用于投放到抖音上：\n产品:%s.",0.5,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi20",newOpenAi("OpenAi20","产品取名","依据产品描述和种子词语，给一个产品取一个好听的名字","text-davinci-003","产品描述: %s.\n种子词: %s.\n产品名称: ",0.8,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi21",newOpenAi("OpenAi21","句子简化","把一个长句子简化成一个短句子","text-davinci-003","%s\nTl;dr: ",0.7,1.0,1.0,0.0,1.0,""));PARMS.put("OpenAi22",newOpenAi("OpenAi22","修复代码Bug","自动修改代码中的bug","code-davinci-002","##### 修复下面代码的bug\n### %s\n %s\n### %s\n",0.0,1.0,1.0,0.0,0.0,"###"));PARMS.put("OpenAi23",newOpenAi("OpenAi23","表格填充数据","自动为一个表格生成数据","text-davinci-003","spreadsheet ,%s rows:\n%s\n",0.5,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi24",newOpenAi("OpenAi24","语言聊天机器人","各种开发语言的两天机器人","code-davinci-002","You: %s\n%s机器人:",0.0,1.0,1.0,0.5,0.0,"You: "));PARMS.put("OpenAi25",newOpenAi("OpenAi25","机器学习机器人","机器学习模型方面的机器人","text-davinci-003","You: %s\nML机器人:",0.3,1.0,1.0,0.5,0.0,"You: "));PARMS.put("OpenAi26",newOpenAi("OpenAi26","清单制作","可以列出各方面的分类列表，比如歌单","text-davinci-003","列出10%s:",0.5,1.0,1.0,0.52,0.5,"11.0"));PARMS.put("OpenAi27",newOpenAi("OpenAi27","文本情绪分析","对一段文字进行情绪分析","text-davinci-003","推断下面文本的情绪是积极的, 中立的, 还是消极的.\n文本: \"%s\"\n观点:",0.0,1.0,1.0,0.5,0.0,""));PARMS.put("OpenAi28",newOpenAi("OpenAi28","航空代码抽取","抽取文本中的航空diam信息","text-davinci-003","抽取下面文本中的航空代码：\n文本：\"%s\"\n航空代码：",0.0,1.0,1.0,0.0,0.0,"\n"));PARMS.put("OpenAi29",newOpenAi("OpenAi29","生成SQL语句","无上下文，语句描述生成SQL","text-davinci-003","%s",0.3,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi30",newOpenAi("OpenAi30","抽取联系信息","从文本中抽取联系方式","text-davinci-003","从下面文本中抽取%s:\n%s",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi31",newOpenAi("OpenAi31","程序语言转换","把一种语言转成另外一种语言","code-davinci-002","#%s to %s:\n%s:%s\n\n%s:",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi32",newOpenAi("OpenAi32","好友聊天","模仿好友聊天","text-davinci-003","You: %s\n好友:",0.5,1.0,1.0,0.5,0.0,"You:"));PARMS.put("OpenAi33",newOpenAi("OpenAi33","颜色生成","依据描述生成对应颜色","text-davinci-003","%s:\nbackground-color: ",0.0,1.0,1.0,0.0,0.0,";"));PARMS.put("OpenAi34",newOpenAi("OpenAi34","程序文档生成","自动为程序生成文档","code-davinci-002","# %s\n \n%s\n# 上述代码的详细、高质量文档字符串：\n\"\"\"",0.0,1.0,1.0,0.0,0.0,"#\"\"\""));PARMS.put("OpenAi35",newOpenAi("OpenAi35","段落创作","依据短语生成相关文短","text-davinci-003","为下面短语创建一个中文段:\n%s:\n",0.5,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi36",newOpenAi("OpenAi36","代码压缩","把多行代码简单的压缩成一行","code-davinci-002","将下面%s代码转成一行:\n%s\n%s一行版本:",0.0,1.0,1.0,0.0,0.0,";"));PARMS.put("OpenAi37",newOpenAi("OpenAi37","故事创作","依据一个主题创建一个故事","text-davinci-003","主题: %s\n故事创作:",0.8,1.0,1.0,0.5,0.0,""));PARMS.put("OpenAi38",newOpenAi("OpenAi38","人称转换","第一人称转第3人称","text-davinci-003","把下面内容从第一人称转为第三人称 (性别女):\n%s\n",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi39",newOpenAi("OpenAi39","摘要说明","依据笔记生成摘要说明","text-davinci-003","将下面内容转换成将下%s摘要：\n%s",0.0,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi40",newOpenAi("OpenAi40","头脑风暴","给定一个主题，让其生成一些主题相关的想法","text-davinci-003","头脑风暴一些关于%s的想法：",0.6,1.0,1.0,1.0,1.0,""));PARMS.put("OpenAi41",newOpenAi("OpenAi41","ESRB文本分类","按照ESRB进行文本分类","text-davinci-003","Provide an ESRB rating for the following text:\\n\\n\\\"%s\"\\n\\nESRB rating:",0.3,1.0,1.0,0.0,0.0,"\n"));PARMS.put("OpenAi42",newOpenAi("OpenAi42","提纲生成","按照提示为相关内容生成提纲","text-davinci-003","为%s提纲:",0.3,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi43",newOpenAi("OpenAi43","美食制作（后果自负）","依据美食名称和材料生成美食的制作步骤","text-davinci-003","依据下面成分和美食，生成制作方法:\n%s\n成分:\n%s\n制作方法:",0.3,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi44",newOpenAi("OpenAi44","AI聊天","与AI机器进行聊天","text-davinci-003","Human: %s",0.9,1.0,1.0,0.0,0.6,"Human:AI:"));PARMS.put("OpenAi45",newOpenAi("OpenAi45","摆烂聊天","与讽刺机器进行聊天","text-davinci-003","Marv不情愿的回答问题.\nYou:%s\nMarv:",0.5,0.3,1.0,0.5,0.0,""));PARMS.put("OpenAi46",newOpenAi("OpenAi46","分解步骤","把一段文本分解成几步来完成","text-davinci-003","为下面文本生成次序列表，并增加列表数子: \n%s\n",0.3,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi47",newOpenAi("OpenAi47","点评生成","依据文本内容自动生成点评","text-davinci-003","依据下面内容，进行点评:\n%s\n点评:",0.5,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi48",newOpenAi("OpenAi48","知识学习","可以为学习知识自动解答","text-davinci-003","%s",0.3,1.0,1.0,0.0,0.0,""));PARMS.put("OpenAi49",newOpenAi("OpenAi49","面试","生成面试题","text-davinci-003","创建10道%s相关的面试题（中文）：\n",0.5,1.0,10.0,0.0,0.0,""));}publicstaticStringOPENAPI_TOKEN="";publicstaticIntegerTIMEOUT=null;/**
* 获取ai
*
* @param openAi
* @param prompt
* @return
*/publicstaticList<CompletionChoice>getAiResult(OpenAi openAi,String prompt){if(TIMEOUT==null||TIMEOUT<1000){TIMEOUT=3000;}OpenAiService service =newOpenAiService(OPENAPI_TOKEN,TIMEOUT);CompletionRequest.CompletionRequestBuilder builder =CompletionRequest.builder().model(openAi.getModel()).prompt(prompt).temperature(openAi.getTemperature()).maxTokens(1000).topP(openAi.getTopP()).frequencyPenalty(openAi.getFrequencyPenalty()).presencePenalty(openAi.getPresencePenalty());if(!StringUtils.isEmpty(openAi.getStop())){
builder.stop(Arrays.asList(openAi.getStop().split(",")));}CompletionRequest completionRequest = builder.build();return service.createCompletion(completionRequest).getChoices();}/**
* 问答
*
* @param question
* @return
*/publicstaticList<CompletionChoice>getQuestionAnswer(String question){OpenAi openAi =PARMS.get("OpenAi01");returngetAiResult(openAi,String.format(openAi.getPrompt(), question));}/**
* 语法纠错
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getGrammarCorrection(String text){OpenAi openAi =PARMS.get("OpenAi02");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 将一段话，概况中心
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getSummarize(String text){OpenAi openAi =PARMS.get("OpenAi03");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 一句话生成OpenAi的代码
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getOpenAiApi(String text){OpenAi openAi =PARMS.get("OpenAi04");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 一句话生成程序的命令，目前支持操作系统指令比较多
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getTextToCommand(String text){OpenAi openAi =PARMS.get("OpenAi05");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 把一种语法翻译成其它几种语言
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getTranslatesLanguages(String text,String translatesLanguages){if(StringUtils.isEmpty(translatesLanguages)){
translatesLanguages =" 1. French, 2. Spanish and 3. English";}OpenAi openAi =PARMS.get("OpenAi06");returngetAiResult(openAi,String.format(openAi.getPrompt(), translatesLanguages, text));}/**
* 一句话生成Stripe国际支付API
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getStripeApi(String text){OpenAi openAi =PARMS.get("OpenAi07");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 依据上下文中的表信息，生成SQL语句
*
* @param databaseType 数据库类型
* @param tables 上午依赖的表和字段 Employee(id, name, department_id)
* @param text SQL描述
* @param sqlType sql类型，比如SELECT
* @return
*/publicstaticList<CompletionChoice>getStripeApi(String databaseType,List<String> tables,String text,String sqlType){OpenAi openAi =PARMS.get("OpenAi08");StringJoiner joiner =newStringJoiner("\n");for(int i =0; i < tables.size(); i++){
joiner.add("# "+ tables);}returngetAiResult(openAi,String.format(openAi.getPrompt(), databaseType, joiner.toString(), text, sqlType));}/**
* 对于非结构化的数据抽取其中的特征生成结构化的表格
*
* @param text 非结构化的数据
* @return
*/publicstaticList<CompletionChoice>getUnstructuredData(String text){OpenAi openAi =PARMS.get("OpenAi09");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 把一段信息继续分类
*
* @param text 要分类的文本
* @return
*/publicstaticList<CompletionChoice>getTextCategory(String text){OpenAi openAi =PARMS.get("OpenAi10");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 把一段信息继续分类
*
* @param codeType 代码类型，比如Python
* @param code 要解释的代码
* @return
*/publicstaticList<CompletionChoice>getCodeExplain(String codeType,String code){OpenAi openAi =PARMS.get("OpenAi11");returngetAiResult(openAi,String.format(openAi.getPrompt(), codeType, code));}/**
* 将文本编码成表情服务
*
* @param text 文本
* @return
*/publicstaticList<CompletionChoice>getTextEmoji(String text){OpenAi openAi =PARMS.get("OpenAi12");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 求一段代码的时间复杂度
*
* @param code 代码
* @return
*/publicstaticList<CompletionChoice>getTimeComplexity(String code){OpenAi openAi =PARMS.get("OpenAi13");returngetAiResult(openAi,String.format(openAi.getPrompt(), code));}/**
* 把一种语言的代码翻译成另外一种语言的代码
*
* @param fromLanguage 要翻译的代码语言
* @param toLanguage 要翻译成的代码语言
* @param code 代码
* @return
*/publicstaticList<CompletionChoice>getTranslateProgramming(String fromLanguage,String toLanguage,String code){OpenAi openAi =PARMS.get("OpenAi14");returngetAiResult(openAi,String.format(openAi.getPrompt(), fromLanguage, toLanguage, fromLanguage, code, toLanguage));}/**
* 支持批量列表的方式检查情绪
*
* @param texts 文本
* @return
*/publicstaticList<CompletionChoice>getBatchTweetClassifier(List<String> texts){OpenAi openAi =PARMS.get("OpenAi15");StringJoiner stringJoiner =newStringJoiner("\n");for(int i =0; i < texts.size(); i++){
stringJoiner.add((i +1)+". "+ texts.get(i));}returngetAiResult(openAi,String.format(openAi.getPrompt(), stringJoiner.toString()));}/**
* 对一段代码进行解释
*
* @param code 文本
* @return
*/publicstaticList<CompletionChoice>getExplainCOde(String code){OpenAi openAi =PARMS.get("OpenAi16");returngetAiResult(openAi,String.format(openAi.getPrompt(), code));}/**
* 提取一段文本中的关键字
*
* @param text 文本
* @return
*/publicstaticList<CompletionChoice>getTextKeywords(String text){OpenAi openAi =PARMS.get("OpenAi17");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 事实回答答题
*
* @param text 文本
* @return
*/publicstaticList<CompletionChoice>getFactualAnswering(String text){OpenAi openAi =PARMS.get("OpenAi18");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 给一个产品设计一个广告
*
* @param text 文本
* @return
*/publicstaticList<CompletionChoice>getAd(String text){OpenAi openAi =PARMS.get("OpenAi19");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 依据产品描述和种子词语，给一个产品取一个好听的名字
*
* @param productDescription 产品描述
* @param seedWords 种子词语
* @return
*/publicstaticList<CompletionChoice>getProductName(String productDescription,String seedWords){OpenAi openAi =PARMS.get("OpenAi20");returngetAiResult(openAi,String.format(openAi.getPrompt(), productDescription, seedWords));}/**
* 把一个长句子简化成一个短句子
*
* @param text 长句子
* @return
*/publicstaticList<CompletionChoice>getProductName(String text){OpenAi openAi =PARMS.get("OpenAi21");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 自动修改代码中的bug
*
* @param codeType 语言类型
* @param code 代码
* @return
*/publicstaticList<CompletionChoice>getBugFixer(String codeType,String code){OpenAi openAi =PARMS.get("OpenAi22");returngetAiResult(openAi,String.format(openAi.getPrompt(), codeType, code, codeType));}/**
* 自动为一个表格生成数据
*
* @param rows 生成的行数
* @param headers 数据表头，格式如：姓名| 年龄|性别|生日
* @return
*/publicstaticList<CompletionChoice>getFillData(int rows,String headers){OpenAi openAi =PARMS.get("OpenAi23");returngetAiResult(openAi,String.format(openAi.getPrompt(), rows, headers));}/**
* 各种开发语言的两天机器人
*
* @param question 你的问题
* @param programmingLanguages 语言 比如Java JavaScript
* @return
*/publicstaticList<CompletionChoice>getProgrammingLanguageChatbot(String question,String programmingLanguages){OpenAi openAi =PARMS.get("OpenAi24");returngetAiResult(openAi,String.format(openAi.getPrompt(), question, programmingLanguages));}/**
* 机器学习模型方面的机器人
*
* @param question 你的问题
* @return
*/publicstaticList<CompletionChoice>getMLChatbot(String question){OpenAi openAi =PARMS.get("OpenAi25");returngetAiResult(openAi,String.format(openAi.getPrompt(), question));}/**
* 可以列出各方面的分类列表，比如歌单
*
* @param text 清单描述
* @return
*/publicstaticList<CompletionChoice>getListMaker(String text){OpenAi openAi =PARMS.get("OpenAi26");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 对一段文字进行情绪分析
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getTweetClassifier(String text){OpenAi openAi =PARMS.get("OpenAi27");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 抽取文本中的航空代码信息
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getAirportCodeExtractor(String text){OpenAi openAi =PARMS.get("OpenAi28");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 无上下文，语句描述生成SQL
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getSQL(String text){OpenAi openAi =PARMS.get("OpenAi29");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 从文本中抽取联系方式
*
* @param extractContent 抽取内容描述
* @param text
* @return 从下面文本中抽取邮箱和电话:\n教育行业A股IPO第一股（股票代码 003032）\n全国咨询/投诉热线：400-618-4000 举报邮箱:[email protected]
*/publicstaticList<CompletionChoice>getExtractContactInformation(String extractContent,String text){OpenAi openAi =PARMS.get("OpenAi30");returngetAiResult(openAi,String.format(openAi.getPrompt(), extractContent, text));}/**
* 把一种语言转成另外一种语言代码
*
* @param fromCodeType 当前代码类型
* @param toCodeType 转换的代码类型
* @param code
* @return
*/publicstaticList<CompletionChoice>getTransformationCode(String fromCodeType,String toCodeType,String code){OpenAi openAi =PARMS.get("OpenAi31");returngetAiResult(openAi,String.format(openAi.getPrompt(), fromCodeType, toCodeType, fromCodeType, code, toCodeType));}/**
* 模仿好友聊天
*
* @param question
* @return
*/publicstaticList<CompletionChoice>getFriendChat(String question){OpenAi openAi =PARMS.get("OpenAi32");returngetAiResult(openAi,String.format(openAi.getPrompt(), question));}/**
* 依据描述生成对应颜色
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getMoodToColor(String text){OpenAi openAi =PARMS.get("OpenAi33");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 自动为程序生成文档
*
* @param codeType 语言
* @param code
* @return
*/publicstaticList<CompletionChoice>getCodeDocument(String codeType,String code){OpenAi openAi =PARMS.get("OpenAi34");returngetAiResult(openAi,String.format(openAi.getPrompt(), codeType, code));}/**
* 依据短语生成相关文短
*
* @param text 短语
* @return
*/publicstaticList<CompletionChoice>getCreateAnalogies(String text){OpenAi openAi =PARMS.get("OpenAi35");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 把多行代码简单的压缩成一行
*
* @param codeType 语言
* @param code
* @return
*/publicstaticList<CompletionChoice>getCodeLine(String codeType,String code){OpenAi openAi =PARMS.get("OpenAi36");returngetAiResult(openAi,String.format(openAi.getPrompt(), codeType, code, codeType));}/**
* 依据一个主题创建一个故事
*
* @param topic 创作主题
* @return
*/publicstaticList<CompletionChoice>getStory(String topic){OpenAi openAi =PARMS.get("OpenAi37");returngetAiResult(openAi,String.format(openAi.getPrompt(), topic));}/**
* 第一人称转第3人称
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getStoryCreator(String text){OpenAi openAi =PARMS.get("OpenAi38");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 依据笔记生成摘要说明
*
* @param scene 生成的摘要场景
* @param note 记录的笔记
* @return
*/publicstaticList<CompletionChoice>getNotesToSummary(String scene,String note){OpenAi openAi =PARMS.get("OpenAi39");returngetAiResult(openAi,String.format(openAi.getPrompt(), note));}/**
* 给定一个主题，让其生成一些主题相关的想法
*
* @param topic 头脑风暴关键词
* @return
*/publicstaticList<CompletionChoice>getIdeaGenerator(String topic){OpenAi openAi =PARMS.get("OpenAi40");returngetAiResult(openAi,String.format(openAi.getPrompt(), topic));}/**
* 按照ESRB进行文本分类
*
* @param text 文本
* @return
*/publicstaticList<CompletionChoice>getESRBRating(String text){OpenAi openAi =PARMS.get("OpenAi41");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 按照提示为相关内容生成提纲
*
* @param text 场景，比如 数据库软件生成大学毕业论文
* @return
*/publicstaticList<CompletionChoice>getEssayOutline(String text){OpenAi openAi =PARMS.get("OpenAi42");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 依据美食名称和材料生成美食的制作步骤
*
* @param name 美食名称
* @param ingredients 美食食材
* @return
*/publicstaticList<CompletionChoice>getRecipeCreator(String name,List<String> ingredients){OpenAi openAi =PARMS.get("OpenAi43");StringJoiner joiner =newStringJoiner("\n");for(String ingredient : ingredients){
joiner.add(ingredient);}returngetAiResult(openAi,String.format(openAi.getPrompt(), name, joiner.toString()));}/**
* 与AI机器进行聊天
*
* @param question
* @return
*/publicstaticList<CompletionChoice>getAiChatbot(String question){OpenAi openAi =PARMS.get("OpenAi44");returngetAiResult(openAi,String.format(openAi.getPrompt(), question));}/**
* 与讽刺机器进行聊天，聊天的机器人是一种消极情绪
*
* @param question
* @return
*/publicstaticList<CompletionChoice>getMarvChatbot(String question){OpenAi openAi =PARMS.get("OpenAi45");returngetAiResult(openAi,String.format(openAi.getPrompt(), question));}/**
* 把一段文本分解成几步来完成
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getTurnDirection(String text){OpenAi openAi =PARMS.get("OpenAi46");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 依据文本内容自动生成点评
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getReviewCreator(String text){OpenAi openAi =PARMS.get("OpenAi47");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 可以为学习知识自动解答
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getStudyNote(String text){OpenAi openAi =PARMS.get("OpenAi48");returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}/**
* 生成面试题
*
* @param text
* @return
*/publicstaticList<CompletionChoice>getInterviewQuestion(String text){OpenAi openAi =PARMS.get("OpenAi49");System.out.println(String.format(openAi.getPrompt(), text));returngetAiResult(openAi,String.format(openAi.getPrompt(), text));}}
5、配置自动装配
这一步是非常关键的，你的项目能在其他模块启动的时候就能够用，就必须配置这一步，而这一步有两小步：
- 编写自动装配类
- 配置自动装配类
编写自动装配类，参考代码：
packagecn.gjsm.miukoo.config;importcn.gjsm.miukoo.properties.OpenAiProperties;importorg.springframework.boot.context.properties.EnableConfigurationProperties;importorg.springframework.context.annotation.Configuration;/**
* 自动配置类
*/@Configuration@EnableConfigurationProperties(OpenAiProperties.class)publicclassOpenAiAutoConfiguration{}
配置自动装配类:
在resources文件夹下的META-INF/spring.factories文件中配置：
org.springframework.boot.autoconfigure.EnableAutoConfiguration=cn.gjsm.miukoo.config.OpenAiAutoConfiguration
新建openai-starter-test模块
经过上述五部我们就完成了chatGPT的stater的封装，接下来我们创建一个模块来测试。
新增模块
测试模块的名称最好是以test结尾
导入依赖
在测试模块中直接可以导入我们封装好的openai-spring-boot-starter，当然还有测试spring-boot-starter-test依赖。
<projectxmlns="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"><parent><artifactId>openai-spring-boot-starter</artifactId><groupId>cn.gjsm</groupId><version>1.0-SNAPSHOT</version><relativePath>../openai-spring-boot-starter/pom.xml</relativePath></parent><modelVersion>4.0.0</modelVersion><groupId>cn.gjsm</groupId><artifactId>openai-starter-test</artifactId><version>1.0-SNAPSHOT</version><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId></dependency><dependency><groupId>cn.gjsm</groupId><artifactId>openai-spring-boot-starter</artifactId><version>1.0-SNAPSHOT</version></dependency></dependencies></project>
创建启动类
我们计划使用SpringBoot去测试，因此需要创建一个启动类
packagecn.gjsm.miukoo;importorg.springframework.boot.SpringApplication;importorg.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplicationpublicclassOpenAiApplication{publicstaticvoidmain(String[] args){SpringApplication.run(OpenAiApplication.class, args);}}
配置属性
在测试模块的application.yml中，我们需要配置，我们在openai-spring-boot-starter中定义的两个属性
server:port:8080openai:token: 你的token
timeout:5000
编写测试类
我们在测试包下，新建一个测试类，即可直接调用我们在stater中封装的OpenAiUtils工具类，通过其来完成chatGPT功能调用。
packagecn.gjsm.miukoo;importcn.gjsm.miukoo.utils.OpenAiUtils;importcom.theokanning.openai.completion.CompletionChoice;importorg.junit.jupiter.api.Test;importorg.springframework.boot.test.context.SpringBootTest;importjava.util.List;@SpringBootTestpublicclassOpenAiTest{/**
* 测试问答
*/@TestpublicvoidtestQA(){List<CompletionChoice> questionAnswer =OpenAiUtils.getQuestionAnswer("重庆今天的天气怎么样？");for(CompletionChoice completionChoice : questionAnswer){System.out.println(completionChoice.getText());}}/**
* 测试面试题生成
*/@TestpublicvoidtestInterview(){List<CompletionChoice> results =OpenAiUtils.getInterviewQuestion("redis");for(CompletionChoice completionChoice : results){System.out.println(completionChoice.getText());}}}
tater中封装的OpenAiUtils工具类，通过其来完成chatGPT功能调用。
packagecn.gjsm.miukoo;importcn.gjsm.miukoo.utils.OpenAiUtils;importcom.theokanning.openai.completion.CompletionChoice;importorg.junit.jupiter.api.Test;importorg.springframework.boot.test.context.SpringBootTest;importjava.util.List;@SpringBootTestpublicclassOpenAiTest{/**
* 测试问答
*/@TestpublicvoidtestQA(){List<CompletionChoice> questionAnswer =OpenAiUtils.getQuestionAnswer("重庆今天的天气怎么样？");for(CompletionChoice completionChoice : questionAnswer){System.out.println(completionChoice.getText());}}/**
* 测试面试题生成
*/@TestpublicvoidtestInterview(){List<CompletionChoice> results =OpenAiUtils.getInterviewQuestion("redis");for(CompletionChoice completionChoice : results){System.out.println(completionChoice.getText());}}}
运行报错
如果你运行代码，出现下面错误，不应紧张，那是英文springboot3.0需要jdk17的版本
选中父项目右键打开项目配置创建，修改JDK为17版本即可，重新运行即可正常。
本文转载自: https://blog.csdn.net/luoxueyong/article/details/128365237
版权归原作者 miukoo 所有， 如有侵权，请联系我们删除。
版权归原作者 miukoo 所有， 如有侵权，请联系我们删除。