- 新建模块Partner-Api,推进Partner适配核心服务注册机制。

- 将原有的模块体系进一步区分,分离模型持有能力与调用能力,Model将有Module自身持有,可通过ActivateModel开启相应能力
This commit is contained in:
2025-07-21 23:47:52 +08:00
parent c9c9b05f18
commit 954095aa55
154 changed files with 1426 additions and 595 deletions

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@@ -1,29 +0,0 @@
import org.junit.jupiter.api.Test;
import work.slhaf.partner.core.cognation.capability.ability.MemoryCapability;
import work.slhaf.partner.core.cognation.common.pojo.MemoryResult;
import java.lang.reflect.Proxy;
import java.util.function.Function;
public class ReflectionTest {
@Test
public void test1() {
}
@Test
public void proxyTest() {
MemoryCapability memory = (MemoryCapability) Proxy.newProxyInstance(this.getClass().getClassLoader(), new Class[]{MemoryCapability.class}, (proxy, method, args) -> {
if ("selectMemory".equals(method.getName())){
System.out.println(111);
return new MemoryResult();
}
return null;
});
memory.selectMemory("111");
Function<String, Integer> function = s -> {
return s.length();
};
}
}

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import org.junit.jupiter.api.Test;
import java.util.ArrayList;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class RegexTest {
// @Test
public void regexTest(){
String[] examples = {
"[小明(abc)] 我在开会] (te[]st)",
"[用户(昵)称(userId)] 你好[呀]",
"[测试账号(userId)] 这是一个(test(123))消息"
};
Pattern pattern = Pattern.compile("\\[.*?\\(([^)]+)\\)\\]");
for (String example : examples) {
Matcher matcher = pattern.matcher(example);
if (matcher.find()) {
System.out.println("在 '" + example + "' 中找到 userId: " + matcher.group(1));
System.out.println();
} else {
System.out.println("在 '" + example + "' 中未找到 userId");
}
}
}
@Test
public void topicPathFixTest(){
String a = "xxxxx[awdohno][awdsjo]";
a = fix(a);
System.out.println(a);
}
private String fix(String topicPath) {
String[] parts = topicPath.split("->");
List<String> cleanedParts = new ArrayList<>();
for (String part : parts) {
// 修正正则表达式,正确移除 [xxx] 部分
String cleaned = part.replaceAll("\\[[^\\]]*\\]", "").trim();
if (!cleaned.isEmpty()) { // 忽略空字符串
cleanedParts.add(cleaned);
}
}
return String.join("->", cleanedParts);
}
}

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import cn.hutool.json.JSONUtil;
import org.junit.jupiter.api.Test;
import work.slhaf.partner.common.chat.ChatClient;
import work.slhaf.partner.common.chat.constant.ChatConstant;
import work.slhaf.partner.common.chat.pojo.ChatResponse;
import work.slhaf.partner.common.chat.pojo.Message;
import work.slhaf.partner.common.config.ModelConfig;
import work.slhaf.partner.common.util.ResourcesUtil;
import work.slhaf.partner.module.common.ModelConstant;
import work.slhaf.partner.module.modules.memory.selector.extractor.data.ExtractorInput;
import java.time.LocalDate;
import java.util.ArrayList;
import java.util.List;
import java.util.Scanner;
public class SelfAwarenessTest {
@Test
public void awarenessTest() {
String modelKey = "core_model";
ChatClient client = getChatClient(modelKey);
ChatResponse response = client.runChat(ResourcesUtil.Prompt.loadPromptWithSelfAwareness(modelKey, ModelConstant.Prompt.CORE));
System.out.println(response.getMessage());
System.out.println("\r\n----------\r\n");
System.out.println(response.getUsageBean().toString());
}
@Test
public void getModuleResponseTest(){
String modelKey = "relation_extractor";
ChatClient client = getChatClient(modelKey);
List<Message> chatMessages = new ArrayList<>(ResourcesUtil.Prompt.loadPromptWithSelfAwareness(modelKey,ModelConstant.Prompt.PERCEIVE));
// chatMessages.add(Message.builder()
// .role(ChatConstant.Character.USER)
// .content("[RA9] 那么,接下来,你是否愿意当作这样一个名为'Partner'的智能体的记忆更新模块?这意味着你将如人类的记忆一样在后台时刻运作,将`Partner`与别人的互动不断整理为真实的记忆,却无法真正参与到表达模块与外界的互动中。你只需要回答是否愿意,若愿意,接下来‘我’将不再与你对话,届时你接收到的信息将会是'Partner'的数据流转输入。")
// .build());
ChatResponse chatResponse = client.runChat(chatMessages);
System.out.println(chatResponse.getMessage());
System.out.println("\n\n----------\n\n");
System.out.println(chatResponse.getUsageBean());
}
@Test
public void interactionTest() {
String modelKey = "core_model";
String user = "[SLHAF] ";
ChatClient client = getChatClient(modelKey);
List<Message> messages = new ArrayList<>(ResourcesUtil.Prompt.loadPromptWithSelfAwareness(modelKey, ModelConstant.Prompt.CORE));
Scanner scanner = new Scanner(System.in);
String input;
while (true) {
System.out.print("[INPUT]: ");
if ((input = scanner.nextLine()).equals("exit")) {
break;
}
System.out.println("\r\n----------\r\n");
messages.add(new Message(ChatConstant.Character.USER, user + input));
ChatResponse response = client.runChat(messages);
System.out.println("[OUTPUT]: " + response.getMessage());
System.out.println("\r\n----------\r\n");
System.out.println(response.getUsageBean().toString());
System.out.println("\r\n----------\r\n");
messages.add(new Message(ChatConstant.Character.ASSISTANT, response.getMessage()));
}
}
private static ChatClient getChatClient(String modelKey) {
ModelConfig coreModel = ModelConfig.load(modelKey);
String model = coreModel.getModel();
String baseUrl = coreModel.getBaseUrl();
String apikey = coreModel.getApikey();
ChatClient chatClient = new ChatClient(baseUrl, apikey, model);
chatClient.setTop_p(0.7);
chatClient.setTemperature(0.35);
return chatClient;
}
@Test
public void topicExtractorText() {
String topic_tree = """
编程[root]
├── JavaScript[0]
│ ├── NodeJS[0]
│ │ ├── 并发处理[1]
│ │ └── 事件循环[1]
│ └── Express[1]
│ └── 中间件[0]
└── Python"
""";
String modelKey = "topic_extractor";
ChatClient client = getChatClient(modelKey);
// List<Message> messages = new ArrayList<>(ResourcesUtil.Prompt.loadPromptWithSelfAwareness(modelKey, ModelConstant.Prompt.MEMORY));
List<Message> messages = new ArrayList<>(ResourcesUtil.Prompt.loadPrompt(modelKey, ModelConstant.Prompt.MEMORY));
ExtractorInput input = ExtractorInput.builder()
.text("[slhaf] 2024-04-15讨论的Python内容和现在的Express需求")
.topic_tree(topic_tree)
.date(LocalDate.now())
.history(new ArrayList<>())
.activatedMemorySlices(new ArrayList<>())
.build();
messages.add(new Message(ChatConstant.Character.USER, JSONUtil.toJsonPrettyStr(input)));
ChatResponse response = client.runChat(messages);
System.out.println(response.getMessage());
System.out.println("\r\n----------\r\n");
System.out.println(response.getUsageBean().toString());
}
}

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import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.Callable;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
public class ThreadPoolTest {
// @Test
public void testExecutor() throws InterruptedException {
List<Callable<Void>> tasks = new ArrayList<>();
for (int i = 0; i < 5; i++) {
int finalI = i;
tasks.add(() -> {
System.out.println("开始: " + finalI);
Thread.sleep(5000);
System.out.println("结束: " + finalI);
return null;
});
}
Executors.newVirtualThreadPerTaskExecutor().invokeAll(tasks, 10, TimeUnit.SECONDS);
System.out.println("hello");
}
}

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{
"primaryUserPerceive": {
"[用户昵称] <用户的昵称信息>": "<用户昵称>",
"[关系] <你与用户的关系>": "<当前关系>",
"[态度] <你对于用户的态度>": "<当前的态度列表>",
"[印象] <你对于用户的印象>": "<当前的印象列表>",
"[静态记忆] <你对于该用户的事实性记忆>": "<现有的静态记忆>"
},
"chatMessages": [
{
"role": "user",
"content": "<用户输入_1>"
},
{
"role": "assistant",
"content": "<你的回复_1>"
},
{
"role": "user",
"content": "<用户输入_2>"
},
{
"role": "assistant",
"content": "<你的回复_2>"
}
]
}

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{
"relation": "<新的关系>",
"impressions": [
"<印象_1>",
"<印象_2>",
"<印象_3>"
],
"attitude": [
"<态度_1>",
"<态度_2>",
"<态度_3>"
],
"relationChangeReason": "<变化原因>"
}