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juncaiq
2025-10-17 10:11:04 +08:00
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36
jeelowcode-framework/jeelowcode-ai/pom.xml Normal file
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<?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">
<parent>
<artifactId>jeelowcode-framework</artifactId>
<groupId>com.jeelowcode</groupId>
<version>${jeelowcode.version}</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>jeelowcode-ai</artifactId>
<name>${project.artifactId}</name>
<version>${jeelowcode.version}</version>
<packaging>jar</packaging>
<description> JeeLowCode低代码平台 - ai模块 </description>
<dependencies>
<dependency>
<groupId>com.jeelowcode</groupId>
<artifactId>jeelowcode-utils</artifactId>
</dependency>
<dependency>
<groupId>com.squareup.okhttp3</groupId>
<artifactId>okhttp</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-autoconfigure</artifactId>
</dependency>
</dependencies>
</project>

97
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/TestUtils.java Normal file
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package com.jeelowcode.framework.ai;
import com.jeelowcode.framework.ai.config.DeepSeekConfig;
import com.jeelowcode.framework.ai.config.KimiConfig;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
import com.jeelowcode.framework.ai.platform.chat.tool.ChatMessage;
import com.jeelowcode.framework.ai.platform.chat.tool.Choice;
import com.jeelowcode.framework.ai.service.Configuration;
import com.jeelowcode.framework.ai.service.IChatService;
import com.jeelowcode.framework.ai.service.PlatformType;
import com.jeelowcode.framework.ai.service.factor.AiService;
import com.jeelowcode.framework.ai.template.CreateTableTemplate;
import com.jeelowcode.framework.utils.utils.FuncBase;
import lombok.Data;
import okhttp3.OkHttpClient;
import org.junit.Before;
import org.junit.Test;
import java.security.KeyManagementException;
import java.security.NoSuchAlgorithmException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
public class TestUtils {
private IChatService chatService;
@Before
public void test_init() throws NoSuchAlgorithmException, KeyManagementException {
KimiConfig kimiConfig = new KimiConfig();
kimiConfig.setApiKey("sk-EE98wvDeTFvxRcBxDQmWhKQlewkGFIrfyCxvyNxDj8Vaf701");
DeepSeekConfig deepseekConfig = new DeepSeekConfig();
deepseekConfig.setApiKey("sk-b31fcf4e27bf45fbb65ace5bbc627d5d");
Configuration configuration = new Configuration();
configuration.setKimiConfig(kimiConfig);
configuration.setDeepSeekConfig(deepseekConfig);
OkHttpClient okHttpClient = new OkHttpClient
.Builder()
.connectTimeout(300, TimeUnit.SECONDS)
.writeTimeout(300, TimeUnit.SECONDS)
.readTimeout(300, TimeUnit.SECONDS)
.build();
configuration.setOkHttpClient(okHttpClient);
AiService aiService = new AiService(configuration);
chatService = aiService.getChatService(PlatformType.KIMI);
//chatService = aiService.getChatService(PlatformType.DEEPSEEK);
}
@Test
public void test_chatCompletions_common() throws Exception {
long time1 = System.currentTimeMillis();
ChatBaseRequest chatBaseRequest = ChatBaseRequest.builder()
//.model("deepseek-chat")
.messages(CreateTableTemplate.getMessageTemplateList())
.message(ChatMessage.withUser("物流信息，其中要有，物流单号，收件人，寄件人"))
.build();
ChatBaseResponse chatBaseResponse = chatService.chatCompletion(chatBaseRequest);
List<Choice> choices = chatBaseResponse.getChoices();
if(FuncBase.isEmpty(choices)){
return;
}
Choice choice = choices.get(0);
ChatMessage message = choice.getMessage();
if(FuncBase.isEmpty(message)){
return;
}
String content = message.getContent();
System.out.println("content===="+content);
CreateTableTemplate.RspModel rspModel = FuncBase.json2Bean(content, CreateTableTemplate.RspModel.class);
System.out.println(rspModel);
long time2 = System.currentTimeMillis();
System.out.println("time2-time1="+(time2-time1));
}
}

19
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/config/DeepSeekConfig.java Normal file
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package com.jeelowcode.framework.ai.config;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@NoArgsConstructor
@AllArgsConstructor
public class DeepSeekConfig {
private String apiHost = "https://api.deepseek.com/";
private String apiKey = "";
private String model="deepseek-chat";
private String chatCompletionUrl = "chat/completions";
}

15
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/config/KimiConfig.java Normal file
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package com.jeelowcode.framework.ai.config;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@NoArgsConstructor
@AllArgsConstructor
public class KimiConfig {
private String apiHost = "https://api.moonshot.cn/";
private String apiKey = "";
private String model="moonshot-v1-8k";
private String chatCompletionUrl = "v1/chat/completions";
}

9
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/convert/ParameterConvert.java Normal file
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package com.jeelowcode.framework.ai.convert;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
public interface ParameterConvert<T> {
T convertParam(ChatBaseRequest chatBaseRequest);
}

10
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/convert/ResultConvert.java Normal file
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package com.jeelowcode.framework.ai.convert;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
public interface ResultConvert<T> {
//统一格式输出
ChatBaseResponse convertResponse(T t);
}

118
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/ChatBaseRequest.java Normal file
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package com.jeelowcode.framework.ai.platform.chat;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.jeelowcode.framework.ai.platform.chat.tool.ChatMessage;
import lombok.*;
import lombok.experimental.SuperBuilder;
import java.util.List;
import java.util.Map;
@Data
@SuperBuilder
@NoArgsConstructor
public class ChatBaseRequest {
private String model;
/**
* 消息内容
*/
@Singular
private List<ChatMessage> messages;
/**
* 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。
*/
@Builder.Default
@JsonProperty("frequency_penalty")
private Float frequencyPenalty = 0f;
/**
* 采样温度，介于 0 和 2 之间。更高的值，如 0.8，会使输出更随机，而更低的值，如 0.2，会使其更加集中和确定。
* 我们通常建议可以更改这个值或者更改 top_p，但不建议同时对两者进行修改。
*/
@Builder.Default
private Float temperature = 1f;
/**
* 作为调节采样温度的替代方案，模型会考虑前 top_p 概率的 token 的结果。所以 0.1 就意味着只有包括在最高 10% 概率中的 token 会被考虑。
* 我们通常建议修改这个值或者更改 temperature，但不建议同时对两者进行修改。
*/
@Builder.Default
@JsonProperty("top_p")
private Float topP = 1f;
/**
* 限制一次请求中模型生成 completion 的最大 token 数。输入 token 和输出 token 的总长度受模型的上下文长度的限制。
*/
@JsonProperty("max_tokens")
private Integer maxTokens;
/**
* 辅助属性
*/
@JsonIgnore
private List<String> functions;
/**
* 控制模型调用 tool 的行为。
* none 意味着模型不会调用任何 tool，而是生成一条消息。
* auto 意味着模型可以选择生成一条消息或调用一个或多个 tool。
* 当没有 tool 时，默认值为 none。如果有 tool 存在，默认值为 auto。
*/
@JsonProperty("tool_choice")
private String toolChoice;
@Builder.Default
@JsonProperty("parallel_tool_calls")
private Boolean parallelToolCalls = true;
/**
* 一个 object，指定模型必须输出的格式。
*
* 设置为 { "type": "json_object" } 以启用 JSON 模式，该模式保证模型生成的消息是有效的 JSON。
*
* 注意: 使用 JSON 模式时，你还必须通过系统或用户消息指示模型生成 JSON。
* 否则，模型可能会生成不断的空白字符，直到生成达到令牌限制，从而导致请求长时间运行并显得“卡住”。
* 此外，如果 finish_reason="length"，这表示生成超过了 max_tokens 或对话超过了最大上下文长度，消息内容可能会被部分截断。
*/
@JsonProperty("response_format")
private Object responseFormat;
private String user;
@Builder.Default
private Integer n = 1;
/**
* 在遇到这些词时，API 将停止生成更多的 token。
*/
private List<String> stop;
/**
* 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其是否已在已有文本中出现受到相应的惩罚，从而增加模型谈论新主题的可能性。
*/
@Builder.Default
@JsonProperty("presence_penalty")
private Float presencePenalty = 0f;
@JsonProperty("logit_bias")
private Map logitBias;
/**
* 是否返回所输出 token 的对数概率。如果为 true，则在 message 的 content 中返回每个输出 token 的对数概率。
*/
@Builder.Default
private Boolean logprobs = false;
/**
* 一个介于 0 到 20 之间的整数 N，指定每个输出位置返回输出概率 top N 的 token，且返回这些 token 的对数概率。指定此参数时，logprobs 必须为 true。
*/
@JsonProperty("top_logprobs")
private Integer topLogprobs;
}

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jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/ChatBaseResponse.java Normal file
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package com.jeelowcode.framework.ai.platform.chat;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.jeelowcode.framework.ai.platform.chat.tool.Choice;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.util.List;
@Data
public class ChatBaseResponse {
/**
* 该对话的唯一标识符。
*/
private String id;
/**
* 对象的类型, 其值为 chat.completion 或 chat.completion.chunk
*/
private String object;
/**
* 创建聊天完成时的 Unix 时间戳（以秒为单位）。
*/
private Long created;
/**
* 生成该 completion 的模型名。
*/
private String model;
/**
* 该指纹代表模型运行时使用的后端配置。
*/
@JsonProperty("system_fingerprint")
private String systemFingerprint;
/**
* 模型生成的 completion 的选择列表。
*/
private List<Choice> choices;
}

34
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/ChatMessageType.java Normal file
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package com.jeelowcode.framework.ai.platform.chat;
import com.jeelowcode.framework.utils.utils.FuncBase;
import lombok.AllArgsConstructor;
import lombok.Getter;
import java.util.Arrays;
import java.util.Optional;
@Getter
@AllArgsConstructor
public enum ChatMessageType {
SYSTEM("system"),
USER("user"),
ASSISTANT("assistant"),
TOOL("tool"),
;
private final String role;
public static ChatMessageType getByRole(String role) {
// 使用流来查找匹配的
Optional<ChatMessageType> matchingEnum = Arrays.stream(ChatMessageType.values())
.filter(chatMessageType -> FuncBase.equals(chatMessageType.getRole(), role))
.findFirst(); // findFirst()会返回第一个匹配的元素，或者如果找不到则返回一个空的Optional
// 检查是否找到了匹配的枚举项
if (matchingEnum.isPresent()) {
return matchingEnum.get();
}
return null;
}
}

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jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/deepseek/DeepSeekChatService.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.deepseek;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.jeelowcode.framework.ai.config.DeepSeekConfig;
import com.jeelowcode.framework.ai.convert.ParameterConvert;
import com.jeelowcode.framework.ai.convert.ResultConvert;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
import com.jeelowcode.framework.ai.platform.chat.deepseek.entity.DeepSeekChatRequest;
import com.jeelowcode.framework.ai.platform.chat.deepseek.entity.DeepSeekChatResponse;
import com.jeelowcode.framework.ai.platform.chat.kimi.entity.KimiChatRequest;
import com.jeelowcode.framework.ai.service.Configuration;
import com.jeelowcode.framework.ai.service.IChatService;
import com.jeelowcode.framework.utils.utils.FuncBase;
import okhttp3.*;
public class DeepSeekChatService implements IChatService, ParameterConvert<DeepSeekChatRequest>, ResultConvert<DeepSeekChatResponse> {
private final DeepSeekConfig deepSeekConfig;
private final OkHttpClient okHttpClient;
public DeepSeekChatService(Configuration configuration) {
this.deepSeekConfig = configuration.getDeepSeekConfig();
this.okHttpClient = configuration.getOkHttpClient();
}
@Override
public DeepSeekChatRequest convertParam(ChatBaseRequest chatBaseRequest) {
DeepSeekChatRequest deepSeekChatRequest = DeepSeekChatRequest.builder()
.messages(chatBaseRequest.getMessages())
.frequencyPenalty(chatBaseRequest.getFrequencyPenalty())
.maxTokens(chatBaseRequest.getMaxTokens())
.presencePenalty(chatBaseRequest.getPresencePenalty())
.responseFormat(chatBaseRequest.getResponseFormat())
.stop(chatBaseRequest.getStop())
.temperature(chatBaseRequest.getTemperature() / 2)
.topP(chatBaseRequest.getTopP())
.functions(chatBaseRequest.getFunctions())
.toolChoice(chatBaseRequest.getToolChoice())
.build();
return deepSeekChatRequest;
}
@Override
public ChatBaseResponse convertResponse(DeepSeekChatResponse deepSeekChatResponse) {
ChatBaseResponse chatBaseResponse = new ChatBaseResponse();
chatBaseResponse.setId(deepSeekChatResponse.getId());
chatBaseResponse.setObject(deepSeekChatResponse.getObject());
chatBaseResponse.setCreated(deepSeekChatResponse.getCreated());
chatBaseResponse.setModel(deepSeekChatResponse.getModel());
chatBaseResponse.setSystemFingerprint(deepSeekChatResponse.getSystemFingerprint());
chatBaseResponse.setChoices(deepSeekChatResponse.getChoices());
return chatBaseResponse;
}
@Override
public ChatBaseResponse chatCompletion(String baseUrl, String apiKey, ChatBaseRequest chatBaseRequest) throws Exception {
baseUrl = FuncBase.isEmpty(baseUrl) ? deepSeekConfig.getApiHost() : baseUrl;
apiKey = FuncBase.isEmpty(apiKey) ? deepSeekConfig.getApiKey() : apiKey;
// 转换 请求参数
DeepSeekChatRequest deepSeekChatRequest = this.convertParam(chatBaseRequest);
deepSeekChatRequest.setModel(deepSeekConfig.getModel());
// 构造请求
ObjectMapper mapper = new ObjectMapper();
String requestString = mapper.writeValueAsString(deepSeekChatRequest);
Request request = new Request.Builder()
.header("Authorization", "Bearer " + apiKey)
.url(baseUrl + deepSeekConfig.getChatCompletionUrl())
.post(RequestBody.create(MediaType.parse("application/json; charset=utf-8"), requestString))
.build();
Response execute = okHttpClient.newCall(request).execute();
if (FuncBase.isEmpty(execute)) {
return null;
}
if (FuncBase.isEmpty(execute.body())) {
return null;
}
//转为统一格式
String rsp = execute.body().string();
DeepSeekChatResponse moonshotChatCompletionResponse = FuncBase.json2Bean(rsp, DeepSeekChatResponse.class);
return this.convertResponse(moonshotChatCompletionResponse);
}
@Override
public ChatBaseResponse chatCompletion(ChatBaseRequest chatBaseRequest) throws Exception {
return this.chatCompletion(null, null, chatBaseRequest);
}
}

23
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/deepseek/entity/DeepSeekChatRequest.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.deepseek.entity;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
import com.jeelowcode.framework.ai.platform.chat.tool.ChatMessage;
import lombok.*;
import lombok.experimental.SuperBuilder;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
@Data
@SuperBuilder
@NoArgsConstructor
public class DeepSeekChatRequest extends ChatBaseRequest {
}

16
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/deepseek/entity/DeepSeekChatResponse.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.deepseek.entity;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
/**
* 聊天返回结果
*/
@Data
public class DeepSeekChatResponse extends ChatBaseResponse {
}

97
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/kimi/KimiChatService.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.kimi;
import com.jeelowcode.framework.ai.config.KimiConfig;
import com.jeelowcode.framework.ai.convert.ParameterConvert;
import com.jeelowcode.framework.ai.convert.ResultConvert;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
import com.jeelowcode.framework.ai.platform.chat.kimi.entity.KimiChatRequest;
import com.jeelowcode.framework.ai.platform.chat.kimi.entity.KimiChatResponse;
import com.jeelowcode.framework.ai.service.Configuration;
import com.jeelowcode.framework.ai.service.IChatService;
import com.jeelowcode.framework.utils.utils.FuncBase;
import okhttp3.*;
public class KimiChatService implements IChatService, ParameterConvert<KimiChatRequest>, ResultConvert<KimiChatResponse> {
private final KimiConfig kimiConfig;
private final OkHttpClient okHttpClient;
public KimiChatService(Configuration configuration) {
this.kimiConfig = configuration.getKimiConfig();
this.okHttpClient = configuration.getOkHttpClient();
}
@Override
public KimiChatRequest convertParam(ChatBaseRequest chatBaseRequest) {
KimiChatRequest kimiChatRequest = KimiChatRequest.builder()
.messages(chatBaseRequest.getMessages())
.frequencyPenalty(chatBaseRequest.getFrequencyPenalty())
.maxTokens(chatBaseRequest.getMaxTokens())
.presencePenalty(chatBaseRequest.getPresencePenalty())
.responseFormat(chatBaseRequest.getResponseFormat())
.stop(chatBaseRequest.getStop())
.temperature(chatBaseRequest.getTemperature() / 2)
.topP(chatBaseRequest.getTopP())
.functions(chatBaseRequest.getFunctions())
.toolChoice(chatBaseRequest.getToolChoice())
.build();
return kimiChatRequest;
}
/**
* 回复内容参数转换
*/
@Override
public ChatBaseResponse convertResponse(KimiChatResponse kimiChatResponse) {
ChatBaseResponse chatBaseResponse = new ChatBaseResponse();
chatBaseResponse.setId(kimiChatResponse.getId());
chatBaseResponse.setObject(kimiChatResponse.getObject());
chatBaseResponse.setCreated(kimiChatResponse.getCreated());
chatBaseResponse.setModel(kimiChatResponse.getModel());
chatBaseResponse.setChoices(kimiChatResponse.getChoices());
return chatBaseResponse;
}
/**
* 同步请求
*/
@Override
public ChatBaseResponse chatCompletion(String baseUrl, String apiKey, ChatBaseRequest chatBaseRequest) throws Exception {
baseUrl = FuncBase.isEmpty(baseUrl) ? kimiConfig.getApiHost() : baseUrl;
apiKey = FuncBase.isEmpty(apiKey) ? kimiConfig.getApiKey() : apiKey;
// 转换 请求参数
KimiChatRequest kimiChatRequest = this.convertParam(chatBaseRequest);
kimiChatRequest.setModel(kimiConfig.getModel());
// 构造请求
String requestString = FuncBase.json2Str(kimiChatRequest);
RequestBody requestBody = RequestBody.create(MediaType.parse("application/json; charset=utf-8"), requestString);
Request request = new Request.Builder()
.header("Authorization", "Bearer " + apiKey)
.url(baseUrl+ kimiConfig.getChatCompletionUrl())
.post(requestBody)
.build();
Response execute = okHttpClient.newCall(request).execute();
if (FuncBase.isEmpty(execute)) {
return null;
}
if (FuncBase.isEmpty(execute.body())) {
return null;
}
//转为统一格式
String rsp = execute.body().string();
KimiChatResponse kimiChatResponse = FuncBase.json2Bean(rsp, KimiChatResponse.class);
return this.convertResponse(kimiChatResponse);
}
@Override
public ChatBaseResponse chatCompletion(ChatBaseRequest chatBaseRequest) throws Exception {
return this.chatCompletion(null, null, chatBaseRequest);
}
}

17
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/kimi/entity/KimiChatRequest.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.kimi.entity;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
import lombok.*;
import lombok.experimental.SuperBuilder;
/**
*
*/
@Data
@SuperBuilder
public class KimiChatRequest extends ChatBaseRequest {
}

18
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/kimi/entity/KimiChatResponse.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.kimi.entity;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
import com.jeelowcode.framework.ai.platform.chat.tool.Choice;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.util.List;
@Data
public class KimiChatResponse extends ChatBaseResponse {
}

61
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/tool/ChatMessage.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.tool;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.jeelowcode.framework.ai.platform.chat.ChatMessageType;
import lombok.*;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.jeelowcode.framework.ai.platform.chat.ChatMessageType;
import lombok.*;
@Data
@Builder
@NoArgsConstructor(access = AccessLevel.PRIVATE)
@AllArgsConstructor(access = AccessLevel.PRIVATE)
@JsonIgnoreProperties(ignoreUnknown = true)
@JsonInclude(JsonInclude.Include.NON_NULL)
public class ChatMessage {
private String content;
private String role;
private String name;
private String refusal;
@JsonProperty("reasoning_content")
private String reasoningContent;
@JsonProperty("tool_call_id")
private String toolCallId;
public ChatMessage(String userMessage) {
this.role = ChatMessageType.USER.getRole();
this.content =userMessage;
}
public ChatMessage(ChatMessageType role, String message) {
this.role = role.getRole();
this.content = message;
}
public ChatMessage(String role, String message) {
this.role = role;
this.content = message;
}
public static ChatMessage withSystem(String content) {
return new ChatMessage(ChatMessageType.SYSTEM, content);
}
public static ChatMessage withUser(String content) {
return new ChatMessage(ChatMessageType.USER, content);
}
public static ChatMessage withAssistant(String content) {
return new ChatMessage(ChatMessageType.ASSISTANT, content);
}
}

34
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/tool/Choice.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.tool;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import lombok.Data;
@Data
@JsonIgnoreProperties(ignoreUnknown = true)
@JsonInclude(JsonInclude.Include.NON_NULL)
public class Choice {
private Integer index;
private ChatMessage delta;
private ChatMessage message;
private Object logprobs;
/**
* 模型停止生成 token 的原因。
*
* [stop, length, content_filter, tool_calls, insufficient_system_resource]
*
* stop：模型自然停止生成，或遇到 stop 序列中列出的字符串。
* length：输出长度达到了模型上下文长度限制，或达到了 max_tokens 的限制。
* content_filter：输出内容因触发过滤策略而被过滤。
* tool_calls：函数调用。
* insufficient_system_resource：系统推理资源不足，生成被打断。
*
*/
@JsonProperty("finish_reason")
private String finishReason;
}

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jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/platform/chat/tool/Content.java Normal file
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package com.jeelowcode.framework.ai.platform.chat.tool;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonValue;
import lombok.*;
import java.util.ArrayList;
import java.util.List;
@ToString
public class Content {
private String text; // 纯文本时使用
private List<MultiModal> multiModals; // 多模态时使用
// 纯文本构造方法
public static Content ofText(String text) {
Content instance = new Content();
instance.text = text;
return instance;
}
// 多模态构造方法
public static Content ofMultiModals(List<MultiModal> parts) {
Content instance = new Content();
instance.multiModals = parts;
return instance;
}
// 序列化逻辑
@JsonValue
public Object toJson() {
if (text != null) {
return text; // 直接返回
} else if (multiModals != null) {
return multiModals;
}
throw new IllegalStateException("Invalid content state");
}
public String getText() { return text; }
public List<MultiModal> getMultiModals() { return multiModals; }
@Data
@Builder
@NoArgsConstructor
@AllArgsConstructor
@JsonIgnoreProperties(ignoreUnknown = true)
@JsonInclude(JsonInclude.Include.NON_NULL)
public static class MultiModal {
private String type = Type.TEXT.type;
private String text;
@JsonProperty("image_url")
private ImageUrl imageUrl;
@Data
@NoArgsConstructor
@AllArgsConstructor
public static class ImageUrl {
private String url;
}
@Getter
@AllArgsConstructor
public enum Type {
TEXT("text", "文本类型"),
IMAGE_URL("image_url", "图片类型，可以为url或者base64"),
;
private final String type;
private final String info;
}
public static List<MultiModal> withMultiModal(String text, String... imageUrl) {
List<MultiModal> messages = new ArrayList<>();
messages.add(new MultiModal(Type.TEXT.getType(), text, null));
for (String url : imageUrl) {
messages.add(new MultiModal(Type.IMAGE_URL.getType(), null, new ImageUrl(url)));
}
return messages;
}
}
}

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jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/properties/AiConfigAutoConfiguration.java Normal file
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package com.jeelowcode.framework.ai.properties;
import com.jeelowcode.framework.ai.config.DeepSeekConfig;
import com.jeelowcode.framework.ai.config.KimiConfig;
import com.jeelowcode.framework.ai.service.factor.AiService;
import okhttp3.OkHttpClient;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import javax.annotation.PostConstruct;
import java.util.concurrent.TimeUnit;
@Configuration
@EnableConfigurationProperties({
DeepSeekConfigProperties.class,
KimiConfigProperties.class})
public class AiConfigAutoConfiguration {
private final DeepSeekConfigProperties deepSeekConfigProperties;
private final KimiConfigProperties kimiConfigProperties;
private com.jeelowcode.framework.ai.service.Configuration configuration = new com.jeelowcode.framework.ai.service.Configuration();
public AiConfigAutoConfiguration(DeepSeekConfigProperties deepSeekConfigProperties, KimiConfigProperties kimiConfigProperties) {
this.deepSeekConfigProperties = deepSeekConfigProperties;
this.kimiConfigProperties = kimiConfigProperties;
}
@Bean
public AiService aiService() {
return new AiService(configuration);
}
@PostConstruct
private void init() {
initOkHttp();
initDeepSeekConfig();
initMoonshotConfig();
}
private void initOkHttp() {
// 开启 Http 客户端
OkHttpClient.Builder okHttpBuilder = new OkHttpClient
.Builder()
.connectTimeout(300, TimeUnit.SECONDS)
.writeTimeout(300,TimeUnit.SECONDS)
.readTimeout(300, TimeUnit.SECONDS);
OkHttpClient okHttpClient = okHttpBuilder.build();
configuration.setOkHttpClient(okHttpClient);
}
/**
* 初始化DeepSeek 配置信息
*/
private void initDeepSeekConfig(){
DeepSeekConfig deepSeekConfig = new DeepSeekConfig();
deepSeekConfig.setApiHost(deepSeekConfigProperties.getApiHost());
deepSeekConfig.setApiKey(deepSeekConfigProperties.getApiKey());
deepSeekConfig.setModel(deepSeekConfigProperties.getModel());
deepSeekConfig.setChatCompletionUrl(deepSeekConfigProperties.getChatCompletionUrl());
configuration.setDeepSeekConfig(deepSeekConfig);
}
/**
* 初始化Moonshot 配置信息
*/
private void initMoonshotConfig() {
KimiConfig kimiConfig = new KimiConfig();
kimiConfig.setApiHost(kimiConfigProperties.getApiHost());
kimiConfig.setApiKey(kimiConfigProperties.getApiKey());
kimiConfig.setModel(kimiConfigProperties.getModel());
kimiConfig.setChatCompletionUrl(kimiConfigProperties.getChatCompletionUrl());
configuration.setKimiConfig(kimiConfig);
}
}

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jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/properties/DeepSeekConfigProperties.java Normal file
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package com.jeelowcode.framework.ai.properties;
import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;
@Data
@ConfigurationProperties(prefix = "jeelowcode.ai.deepseek")
public class DeepSeekConfigProperties {
private String apiHost = "https://api.deepseek.com/";
private String apiKey = "";
private String model="deepseek-chat";
private String chatCompletionUrl = "chat/completions";
}

19
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/properties/KimiConfigProperties.java Normal file
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package com.jeelowcode.framework.ai.properties;
import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;
/**
* @Author cly
* @Description Moonshot配置文件
* @Date 2024/8/30 15:56
*/
@Data
@ConfigurationProperties(prefix = "jeelowcode.ai.kimi")
public class KimiConfigProperties {
private String apiHost = "https://api.moonshot.cn/";
private String apiKey = "";
private String model = "moonshot-v1-8k";
private String chatCompletionUrl = "v1/chat/completions";
}

22
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/service/Configuration.java Normal file
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package com.jeelowcode.framework.ai.service;
import com.jeelowcode.framework.ai.config.DeepSeekConfig;
import com.jeelowcode.framework.ai.config.KimiConfig;
import com.jeelowcode.framework.ai.websearch.searxng.SearXNGConfig;
import lombok.Data;
import okhttp3.OkHttpClient;
@Data
public class Configuration {
private OkHttpClient okHttpClient;
private DeepSeekConfig deepSeekConfig;
private KimiConfig kimiConfig;
private SearXNGConfig searXNGConfig;
}

14
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/service/IChatService.java Normal file
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package com.jeelowcode.framework.ai.service;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
public interface IChatService {
//同步消息
ChatBaseResponse chatCompletion(String baseUrl, String apiKey, ChatBaseRequest chatBaseRequest) throws Exception;
ChatBaseResponse chatCompletion(ChatBaseRequest chatBaseRequest) throws Exception;
}

15
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/service/PlatformType.java Normal file
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package com.jeelowcode.framework.ai.service;
import lombok.AllArgsConstructor;
import lombok.Getter;
@AllArgsConstructor
@Getter
public enum PlatformType {
DEEPSEEK("deepseek"),
KIMI("kimi"),
;
private final String platform;
}

44
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/service/factor/AiService.java Normal file
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package com.jeelowcode.framework.ai.service.factor;
import com.jeelowcode.framework.ai.platform.chat.deepseek.DeepSeekChatService;
import com.jeelowcode.framework.ai.platform.chat.kimi.KimiChatService;
import com.jeelowcode.framework.ai.service.Configuration;
import com.jeelowcode.framework.ai.service.IChatService;
import com.jeelowcode.framework.ai.service.PlatformType;
import com.jeelowcode.framework.ai.websearch.ChatWithWebSearchEnhance;
public class AiService {
private final Configuration configuration;
public AiService(Configuration configuration) {
this.configuration = configuration;
}
public IChatService getChatService(PlatformType platform) {
return createChatService(platform);
}
public IChatService webSearchEnhance(IChatService chatService) {
return new ChatWithWebSearchEnhance(chatService, configuration);
}
private IChatService createChatService(PlatformType platform) {
switch (platform) {
case KIMI:
return new KimiChatService(configuration);
case DEEPSEEK:
return new DeepSeekChatService(configuration);
default:
throw new IllegalArgumentException("Unknown platform: " + platform);
}
}
}

42
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/template/CreateTableTemplate.java Normal file
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package com.jeelowcode.framework.ai.template;
import com.jeelowcode.framework.ai.platform.chat.tool.ChatMessage;
import lombok.Data;
import java.util.ArrayList;
import java.util.List;
public class CreateTableTemplate {
//获取模板
public static List<ChatMessage> getMessageTemplateList(){
List<ChatMessage> sysMessageList=new ArrayList<>();
sysMessageList.add(ChatMessage.withSystem("你是一个mysql数据库设计专家，你需要根据用户的需求理解设计出数据表，然后按特定格式返回"));
sysMessageList.add(ChatMessage.withSystem("表信息解析：tableName：表名称，其中必须是tbl_ 开头。 tableDescribe：表中文描述"));
sysMessageList.add(ChatMessage.withSystem("字段解析：fieldCode：字段编码，fieldName：字段名称，fieldLen：字段长度，fieldDefaultVal：默认值，fieldType：字段类型"));
sysMessageList.add(ChatMessage.withSystem("其中fieldType：字段类型的值有：String=字符串类型，Integer=整型，Date=日期（yyyy-MM-dd），DateTime=日期时间（yyyy-MM-dd HH:mm:ss），Time=时间（HH:mm:ss），BigInt=长整型（long）,BigDecimal=小数，LongText=长文本，Blob=二进制"));
sysMessageList.add(ChatMessage.withSystem("其中必须有的字段未：id,tenant_id,create_user,create_time,create_dept,update_user,update_time,is_deleted"));
sysMessageList.add(ChatMessage.withSystem("这个是返回格式，一定要以json格式返回，其他不必要的内容不要返回：{\"tableName\":\"tbl_name\",\"tableDescribe\":\"学生表\",\"fieldModelList\":[{\"fieldCode\":\"name\",\"fieldName\":\"姓名\",\"fieldLen\":10,\"fieldPointLen\":0,\"fieldDefaultVal\":\"\",\"fieldType\":\"String\"},{\"fieldCode\":\"age\",\"fieldName\":\"年龄\",\"fieldLen\":10,\"fieldPointLen\":0,\"fieldDefaultVal\":\"\",\"fieldType\":\"String\"}]}\n"));
sysMessageList.add(ChatMessage.withSystem("返回格式[重要]：只需要返回json格式即可 ，其他不必要的内容不要返回"));
return sysMessageList;
}
@Data
public static class RspModel{
private String tableName;//表名称
private String tableDescribe;//表描述
List<FieldModel> fieldModelList;
}
@Data
public static class FieldModel{
private String fieldCode;//字段编号 例如：name
private String fieldName;//字段名称 例如：姓名
private Integer fieldLen;//字段长度
private Integer fieldPointLen;//字段小数位
private String fieldDefaultVal;//默认值
private String fieldType;//字段类型
}
}

98
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/websearch/ChatWithWebSearchEnhance.java Normal file
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package com.jeelowcode.framework.ai.websearch;
import com.baomidou.mybatisplus.core.toolkit.StringUtils;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseRequest;
import com.jeelowcode.framework.ai.platform.chat.ChatBaseResponse;
import com.jeelowcode.framework.ai.service.Configuration;
import com.jeelowcode.framework.ai.service.IChatService;
import com.jeelowcode.framework.ai.websearch.searxng.SearXNGConfig;
import com.jeelowcode.framework.ai.websearch.searxng.SearXNGRequest;
import com.jeelowcode.framework.ai.websearch.searxng.SearXNGResponse;
import com.jeelowcode.framework.exception.JeeLowCodeException;
import com.jeelowcode.framework.utils.utils.FuncBase;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;
public class ChatWithWebSearchEnhance implements IChatService {
private final IChatService chatService;
private final SearXNGConfig searXNGConfig;
private final OkHttpClient okHttpClient;
public ChatWithWebSearchEnhance(IChatService chatService, Configuration configuration) {
this.chatService = chatService;
this.searXNGConfig = configuration.getSearXNGConfig();
this.okHttpClient = configuration.getOkHttpClient();
}
@Override
public ChatBaseResponse chatCompletion(String baseUrl, String apiKey, ChatBaseRequest chatBaseRequest) throws Exception {
return chatService.chatCompletion(baseUrl, apiKey, addWebSearchResults(chatBaseRequest));
}
@Override
public ChatBaseResponse chatCompletion(ChatBaseRequest chatBaseRequest) throws Exception {
return chatService.chatCompletion(addWebSearchResults(chatBaseRequest));
}
private ChatBaseRequest addWebSearchResults(ChatBaseRequest chatBaseRequest) {
int chatLen = chatBaseRequest.getMessages().size();
String prompt = chatBaseRequest.getMessages().get(chatLen - 1).getContent();
// 执行联网搜索并将结果附加到提示词中
String searchResults = performWebSearch(prompt);
chatBaseRequest.getMessages().get(chatLen - 1).setContent("我将提供一段来自互联网的资料信息, 请根据这段资料以及用户提出的问题来给出回答。请确保在回答中使用Markdown格式，并在回答末尾列出参考资料。如果资料中的信息不足以回答用户的问题，可以根据自身知识库进行补充，或者说明无法提供确切的答案。\n" +
"网络资料:\n"
+ "============\n"
+ searchResults
+ "============\n"
+ "用户问题:\n"
+ "============\n"
+ prompt
+ "============\n");
return chatBaseRequest;
}
private String performWebSearch(String query) {
SearXNGRequest searXNGRequest = SearXNGRequest.builder()
.q(query)
.engines(searXNGConfig.getEngines())
.build();
if(StringUtils.isBlank(searXNGConfig.getUrl())){
throw new JeeLowCodeException("SearXNG url is not configured");
}
Request request = new Request.Builder()
.url(searXNGConfig.getUrl()+ "?format=json&q=" + query + "&engines=" + searXNGConfig.getEngines())
.get()
.build();
try(Response execute = okHttpClient.newCall(request).execute()) {
if (execute.isSuccessful() && execute.body() != null){
SearXNGResponse searXNGResponse = FuncBase.json2Bean(execute.body().string(), SearXNGResponse.class);
if(searXNGResponse.getResults().size() > searXNGConfig.getNums()) {
return FuncBase.json2Str(searXNGResponse.getResults().subList(0, searXNGConfig.getNums()));
}
return FuncBase.json2Str(searXNGResponse.getResults());
}else{
throw new Exception("SearXNG request failed");
}
} catch (Exception e) {
throw new JeeLowCodeException("SearXNG request failed");
}
}
}

11
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/websearch/searxng/SearXNGConfig.java Normal file
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package com.jeelowcode.framework.ai.websearch.searxng;
import lombok.Data;
@Data
public class SearXNGConfig {
private String url;
private String engines = "duckduckgo,google,bing,brave,mojeek,presearch,qwant,startpage,yahoo,arxiv,crossref,google_scholar,internetarchivescholar,semantic_scholar";
private int nums = 20;
}

18
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/websearch/searxng/SearXNGRequest.java Normal file
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package com.jeelowcode.framework.ai.websearch.searxng;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@Builder
public class SearXNGRequest {
@Builder.Default
private final String format = "json";
private String q;
@Builder.Default
private String engines = "duckduckgo,google,bing,brave,mojeek,presearch,qwant,startpage,yahoo,arxiv,crossref,google_scholar,internetarchivescholar,semantic_scholar";
}

29
jeelowcode-framework/jeelowcode-ai/src/main/java/com/jeelowcode/framework/ai/websearch/searxng/SearXNGResponse.java Normal file
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package com.jeelowcode.framework.ai.websearch.searxng;
import com.fasterxml.jackson.annotation.JsonProperty;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.util.List;
@Data
public class SearXNGResponse {
private String query;
@JsonProperty("number_of_results")
private String numberOfResults;
private List<Result> results;
@Data
@AllArgsConstructor
@NoArgsConstructor
public static class Result {
private String url;
private String title;
private String content;
}
}

1
jeelowcode-framework/jeelowcode-ai/src/main/resources/META-INF/spring/org.springframework.boot.autoconfigure.AutoConfiguration.imports Normal file
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com.jeelowcode.framework.ai.properties.AiConfigAutoConfiguration