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package com.supervision.demo;
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import cn.hutool.core.collection.CollUtil;
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import cn.hutool.core.date.DateTime;
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import cn.hutool.core.date.DateUnit;
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import cn.hutool.core.date.DateUtil;
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import cn.hutool.core.util.StrUtil;
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import cn.hutool.json.JSONUtil;
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import cn.hutool.poi.excel.ExcelUtil;
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import cn.hutool.poi.excel.ExcelWriter;
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import com.supervision.common.domain.R;
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import com.supervision.neo4j.controller.Neo4jController;
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import com.supervision.neo4j.domain.CaseNode;
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import com.supervision.demo.controller.ExampleChatController;
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import com.supervision.police.domain.ModelRecordType;
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import com.supervision.police.domain.NotePrompt;
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import com.supervision.police.domain.NoteRecordSplit;
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import com.supervision.police.dto.NotePromptExtractAttributesDto;
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import com.supervision.police.dto.RetrieveReqDTO;
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import com.supervision.police.dto.RetrieveResDTO;
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import com.supervision.police.service.*;
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import com.supervision.thread.RecordSplitClassifyTask;
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import lombok.AllArgsConstructor;
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import lombok.Data;
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import lombok.extern.slf4j.Slf4j;
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import org.junit.jupiter.api.Test;
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import org.springframework.ai.chat.ChatResponse;
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import org.springframework.ai.chat.messages.UserMessage;
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import org.springframework.ai.chat.prompt.Prompt;
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import org.springframework.ai.ollama.OllamaChatClient;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.boot.test.context.SpringBootTest;
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import org.springframework.util.StopWatch;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.concurrent.CountDownLatch;
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import java.util.concurrent.LinkedBlockingQueue;
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import java.util.concurrent.ThreadPoolExecutor;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.atomic.AtomicLong;
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import java.util.stream.Collectors;
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@Slf4j
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@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT)
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public class FuHsiApplicationTests {
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@Autowired
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private OllamaChatClient ollamaChatClient;
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@Autowired
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private ExampleChatController exampleChatController;
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@Autowired
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private Neo4jController neo4jController;
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@Test
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public void contextLoads() {
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}
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@Test
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public void test() {
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// exampleChatController.test("1803663875373694977", "你现在是一个笔录分析人员，请用四个字描述一下下述内容属于哪种类型的对话？");
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}
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@Test
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public void savePersion() {
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CaseNode caseNode = new CaseNode();
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caseNode.setName("自然人");
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R<?> save = neo4jController.save(caseNode);
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System.out.printf(save.toString());
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}
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private final OllamaChatClient chatClient;
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@Autowired
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public FuHsiApplicationTests(OllamaChatClient chatClient) {
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this.chatClient = chatClient;
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}
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@Autowired
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private NoteRecordSplitService noteRecordSplitService;
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@Autowired
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private ModelRecordTypeService modelRecordTypeService;
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@Test
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public void classificationTest() {
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String recordId = "1824329325387304962";
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final String NEW_TEMPLATE = """
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分类任务: 将对话笔录文本进行分类。
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目标: 将给定的对话分配到预定义的类别中
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预定义类别为：{typeContext}。
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说明: 提供一段对话笔记录文本，分类器应该识别出对话的主题，并将其归类到上述类别中的一个或多个。
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---
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示例输入:
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办案警官问：你和上述的这些受害人签订协议之后是否实际履行合同？
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行为人XXX回答：我和他们签订合同就是为了骗他们相信我，我就是伪造的一些假合同，等我把他们的钱骗到手之后我就不会履行合同。
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预期输出: {"result":[{"type":"合同和协议","explain":"行为人XXX提到签订合同"},{"type":"虚假信息和伪造","explain":"行为人XXX提到合同是假合同"}]}
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---
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任务要求:
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1. 分类器应当准确地识别对话的主题,分类来自于预定义的类别。
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2. 分类器应该实事求是按照对话进行分类,不要有过多的推测。
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2. 如果一段对话笔记录包含多个主题，请选择最相关的类别,最多可选择三个分类。
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3. 如果不涉及任何分类则回复{"result":[]}
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---
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以下为问答对内容:
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{question}
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{answer}
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---
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返回格式为json,字段名要严格一致:{"result":[{"type":"分类1","explain":"分类原因"},{"type":"分类2","explain":"分类原因"}]}
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""";
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final String TYPE_CONTEXT_TEMPLATE = "{分类type:{type},区别点(分类释义):{typeExt}}";
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List<ModelRecordType> allTypeList = modelRecordTypeService.lambdaQuery().list();
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String type = "";
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// 根据recordId查询所有的分割后的笔录
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List<NoteRecordSplit> noteRecordSplitList = noteRecordSplitService.lambdaQuery().eq(NoteRecordSplit::getNoteRecordId, recordId).list();
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for (NoteRecordSplit noteRecordSplit : noteRecordSplitList) {
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try {
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StopWatch stopWatch = new StopWatch();
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// 首先拼接分类模板
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List<String> typeContextList = new ArrayList<>();
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for (ModelRecordType modelRecordType : allTypeList) {
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String format = StrUtil.format(TYPE_CONTEXT_TEMPLATE, Map.of("type", modelRecordType.getRecordType(), "typeExt", modelRecordType.getRecordTypeExt()));
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typeContextList.add(format);
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}
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// 开始对笔录进行分类
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Map<String, String> paramMap = new HashMap<>();
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paramMap.put("typeContext", CollUtil.join(typeContextList, ";"));
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paramMap.put("question", noteRecordSplit.getQuestion());
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paramMap.put("answer", noteRecordSplit.getAnswer());
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Prompt prompt = new Prompt(new UserMessage(StrUtil.format(NEW_TEMPLATE, paramMap)));
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stopWatch.start();
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log.info("开始分析:");
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ChatResponse call = chatClient.call(prompt);
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stopWatch.stop();
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log.info("耗时:{}", stopWatch.getTotalTimeSeconds());
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String content = call.getResult().getOutput().getContent();
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log.info("问：{}, 答：{}", noteRecordSplit.getQuestion(), noteRecordSplit.getAnswer());
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log.info("分析的结果是:{}", content);
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RecordSplitClassifyTask.TypeResultDTO result = JSONUtil.toBean(content, RecordSplitClassifyTask.TypeResultDTO.class);
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List<RecordSplitClassifyTask.TypeNodeDTO> typeList = result.getResult();
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if (CollUtil.isNotEmpty(typeList)) {
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// 将type进行拼接,并以分号进行分割
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type = CollUtil.join(typeList.stream().map(RecordSplitClassifyTask.TypeNodeDTO::getType).collect(Collectors.toSet()), ";");
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} else {
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// 如果没有提取到,就是无
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type = "无";
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}
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} catch (Exception e) {
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log.error("分类任务执行失败:{}", e.getMessage(), e);
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type = "无";
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}
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log.info("最后结果 question:{},answer:{},分析的结果是:{}", noteRecordSplit.getQuestion(),noteRecordSplit.getAnswer(),type);
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}
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}
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@Autowired
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private RecordSplitClassifyService recordSplitClassifyService;
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@Test
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public void classificationTest2() {
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List<ModelRecordType> typeList = modelRecordTypeService.lambdaQuery().list();
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List<NoteRecordSplit> noteRecordSplits = noteRecordSplitService.lambdaQuery().eq(NoteRecordSplit::getId, "1824729361214418946").list();
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recordSplitClassifyService.classify(typeList,noteRecordSplits);
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log.info("分类结果:{}",noteRecordSplits);
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}
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@Autowired
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private OCRService ocrService;
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@Test
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public void retrieveTest() {
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String question = "银川市公安局金凤区分局\\r\\n拘留通知书\\r\\n（副本）\\r\\n银金公（经侦）拘通字[2024]10017号\\r\\n梁玉峰家属\\r\\n根据《中华人民共和国刑事诉讼法》第八十二条第（一)项之规定\\r\\n罪\\r\\n将涉嫌合同诈骗\\r\\n我局已于2024年01月16日10时\\r\\n银川市看守所\\r\\n的\\r\\n梁玉峰\\r\\n刑事拘留，现羁押在\\r\\n市\\r\\n二0二\\r\\n年名\\r\\n本通知书已收到。\\r\\n年月\\r\\n日时\\r\\n被拘留人家属：\\r\\n如未在拘留后24小时内通知被拘留人家属，注明原因：办集民警\\r\\n当天拔打梁天峰亲属果无辉毛话，对方电生无法接通\\r\\n办案人：\\r\\n2024年1月16日1时\\r\\n此联附卷";
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RetrieveResDTO retrieve = ocrService.retrieve(new RetrieveReqDTO(question));
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System.out.println(retrieve);
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}
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@Autowired
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private NotePromptService notePromptService;
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@Test
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public void promptTest() throws InterruptedException {
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List<NotePrompt> listPromptBySplitId = notePromptService.listPromptBySplitId("1825358898516275202");
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ArrayList<NotePrompt> notePrompts = new ArrayList<>();
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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notePrompts.addAll(listPromptBySplitId);
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NoteRecordSplit noteRecordSplit = new NoteRecordSplit();
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/*noteRecordSplit.setQuestion("办案警官问：你让马旭东帮你买车你们是如何协商的?");
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noteRecordSplit.setAnswer("裴金禄回答：我和马旭东认识十年时间了，我们关系比较好。我找到马旭东告诉他我有车要出售，这样要求把帮忙出售，我不出面。出售完毕之后我再给马旭东支付一些好处费用");*/
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noteRecordSplit.setQuestion("办案警官问：你和马旭东是如何协商好处费的?");
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noteRecordSplit.setAnswer("裴金禄回答：我没有协商过，我都是随心意给马旭东给的，");
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String mainActor = "裴金禄";
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List<TripleRecord> tripleRecords = new ArrayList<>();
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AtomicLong atomicLong = new AtomicLong();
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CountDownLatch countDownLatch = new CountDownLatch(notePrompts.size());
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ThreadPoolExecutor executor = new ThreadPoolExecutor(1, 10000, 100L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<>());
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DateTime start = DateUtil.date();
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for (NotePrompt notePrompt : notePrompts) {
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executor.submit(()->{
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TripleRecord tripleRecord = chat4Triple(notePrompt, noteRecordSplit, mainActor,null);
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atomicLong.getAndAdd(tripleRecord.getTime());
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countDownLatch.countDown();
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tripleRecords.add(tripleRecord);
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});
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}
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countDownLatch.await();
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long between = DateUtil.between(start, DateUtil.date(), DateUnit.SECOND);
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log.info("实际总耗时：" + between);
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ExcelWriter writer = ExcelUtil.getWriter("F:\\tmp\\1\\ollama-模型优化\\50服务器\\prompt.xlsx","速度对比-并发1-qwen2.5-32b");
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writer.write(tripleRecords);
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writer.close();
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log.info("所有线程总耗时：" + atomicLong.get());
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}
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private TripleRecord chat4Triple(NotePrompt prompt, NoteRecordSplit noteRecordSplit,String mainActor,String type) {
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StopWatch stopWatch = new StopWatch();
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// 分析三元组
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stopWatch.start();
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HashMap<String, String> paramMap = new HashMap<>();
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paramMap.put("headEntityType", prompt.getStartEntityType());
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paramMap.put("relation", prompt.getRelType());
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paramMap.put("tailEntityType", prompt.getEndEntityType());
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paramMap.put("question", noteRecordSplit.getQuestion());
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paramMap.put("answer", noteRecordSplit.getAnswer());
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//log.info("开始尝试提取三元组：{}-{}-{},mainActor:{}", prompt.getStartEntityType(), prompt.getRelType(), prompt.getEndEntityType(), mainActor == null ? "" : mainActor);
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if (mainActor != null && "行为人".equals(prompt.getStartEntityType())) {
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paramMap.put("requirement", "当前案件的行为人是" + mainActor + "，只尝试提取" + mainActor + "为头结点的三元组。");
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} else {
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paramMap.put("requirement", "");
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}
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String format = StrUtil.format(prompt.getPrompt(), paramMap);
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//log.info("提示词内容:{}", format);
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log.info("开始执行:chatClient.call 开始");
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ChatResponse call = chatClient.call(new Prompt(new UserMessage(format)));
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log.info("开始执行:chatClient.call 结束");
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stopWatch.stop();
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String content = call.getResult().getOutput().getContent();
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//log.info("问题:{}耗时:{},三元组提取结果是:{}", noteRecordSplit.getQuestion(), stopWatch.getTotalTimeSeconds(), content);
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return new TripleRecord(noteRecordSplit.getQuestion(),noteRecordSplit.getAnswer(),type,
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prompt.getId(),prompt.getPrompt(),format,
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content, stopWatch.getTotalTimeMillis());
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}
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@Autowired
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private CaseEvidenceService caseEvidenceService;
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@Test
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public void ocrAndExtractTest() {
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// EvidenceDirectoryDTO directoryDTO = new EvidenceDirectoryDTO();
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// directoryDTO.setId("1845745238182703105");
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// directoryDTO.setDirectoryName("书证");
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// EvidenceDirectoryDTO directoryDTO1 = new EvidenceDirectoryDTO();
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// directoryDTO1.setId("1845745256180461570");
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// directoryDTO1.setDirectoryName("合同协议");
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// directoryDTO1.setParentId("1845745238182703105");
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// directoryDTO1.setFileIdList(List.of("1823958525387853825","1831232334119645185"));
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// directoryDTO.setChild(List.of(directoryDTO1));
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//
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// EvidenceDirectoryDTO directoryDTO2 = new EvidenceDirectoryDTO();
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// directoryDTO2.setId("2222");
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// directoryDTO2.setDirectoryName("车辆合同协议");
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// directoryDTO2.setParentId("1845745256180461570");
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// directoryDTO2.setFileIdList(List.of("1833015941205143554","1833016215680397313","1833016621840019457"));
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// directoryDTO1.setChild(List.of(directoryDTO2));
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// caseEvidenceService.ocrAndExtract("1823955210189000706", List.of(directoryDTO));
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}
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@Test
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public void initCaseDirectory() {
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caseEvidenceService.initCaseEvidenceDirectory("1846389691251220482", "1");
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}
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@Data
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@AllArgsConstructor
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class TripleRecord{
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private String question;
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private String answer;
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private String type;
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private String templateId;
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private String template;
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private String prompt;
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private String result;
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private long time;
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}
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@Test
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void refreshCaseEvidenceTest() {
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caseEvidenceService.refreshCaseEvidence();
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System.out.println("执行完成");
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}
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@Autowired
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private CaseEvidencePropertyService caseEvidencePropertyService;
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@Test
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public void findExtractAttributesTest(){
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List<NotePromptExtractAttributesDto> extractAttributes = caseEvidencePropertyService.findExtractAttributes("7");
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System.out.println(JSONUtil.toJsonStr(extractAttributes));
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}
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@Test
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public void saveEvidencePropertyTest() {
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List<NotePromptExtractAttributesDto> attributesDtoList = new ArrayList<>();
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NotePromptExtractAttributesDto attributesDto = new NotePromptExtractAttributesDto();
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attributesDto.setAttrName("甲方");
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attributesDto.setAttrValue("甲方-value");
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attributesDto.setAttrValueType("1");
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attributesDtoList.add(attributesDto);
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NotePromptExtractAttributesDto attributesDto2 = new NotePromptExtractAttributesDto();
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attributesDto2.setAttrName("资质要求");
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attributesDto2.setAttrValue("资质要求-value");
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attributesDto2.setAttrValueType("1");
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attributesDtoList.add(attributesDto2);
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|
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NotePromptExtractAttributesDto attributesDto3 = new NotePromptExtractAttributesDto();
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attributesDto3.setAttrName("签订日期");
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attributesDto3.setAttrValue("2024-10-15");
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attributesDto3.setAttrValueType("3");
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attributesDtoList.add(attributesDto3);
|
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|
|
|
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caseEvidencePropertyService.saveEvidenceProperty("1111","7", attributesDtoList);
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|
|
|
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}
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|
|
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@Test
|
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public void updateEvidencePropertyTest() {
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|
|
|
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List<NotePromptExtractAttributesDto> attributesDtoList = new ArrayList<>();
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|
|
|
|
|
NotePromptExtractAttributesDto attributesDto = new NotePromptExtractAttributesDto();
|
|
|
attributesDto.setAttrName("甲方");
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|
|
attributesDto.setAttrValue("甲方-value-update");
|
|
|
attributesDto.setAttrValueType("1");
|
|
|
attributesDtoList.add(attributesDto);
|
|
|
|
|
|
NotePromptExtractAttributesDto attributesDto2 = new NotePromptExtractAttributesDto();
|
|
|
attributesDto2.setAttrName("资质要求");
|
|
|
attributesDto2.setAttrValue("资质要求-value-update");
|
|
|
attributesDto2.setAttrValueType("1");
|
|
|
attributesDtoList.add(attributesDto2);
|
|
|
|
|
|
NotePromptExtractAttributesDto attributesDto3 = new NotePromptExtractAttributesDto();
|
|
|
attributesDto3.setAttrName("签订日期");
|
|
|
attributesDto3.setAttrValue("2024-10-15");
|
|
|
attributesDto3.setAttrValueType("3");
|
|
|
attributesDtoList.add(attributesDto3);
|
|
|
|
|
|
caseEvidencePropertyService.updateEvidenceProperty("1111","7", attributesDtoList);
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
@Test
|
|
|
public void listEvidencePropertyTest() {
|
|
|
|
|
|
Map<String, List<NotePromptExtractAttributesDto>> evidenceProperty = caseEvidencePropertyService.listEvidenceProperty("7", List.of("1111"));
|
|
|
|
|
|
System.out.println(JSONUtil.toJsonStr(evidenceProperty));
|
|
|
|
|
|
}
|
|
|
|
|
|
@Test
|
|
|
public void deleteEvidencePropertyTest() {
|
|
|
|
|
|
caseEvidencePropertyService.deleteEvidenceProperty("1111", "7");
|
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
@Autowired
|
|
|
ModelIndexService modelIndexService;
|
|
|
|
|
|
@Autowired
|
|
|
ModelCaseService modelCaseService;
|
|
|
@Test
|
|
|
public void initCaseKnowledgeBaseTest(){
|
|
|
modelCaseService.initCaseKnowledgeBase("1825347949617033217");
|
|
|
}
|
|
|
|
|
|
@Test
|
|
|
public void migrateRecordKnowledgeBaseTest(){
|
|
|
modelCaseService.migrateRecordKnowledgeBase();
|
|
|
}
|
|
|
|
|
|
@Autowired
|
|
|
private RecordSplitProcessService recordSplitProcessService;
|
|
|
@Test
|
|
|
public void replacePronounTest() throws InterruptedException {
|
|
|
List<NoteRecordSplit> noteRecordSplits = new ArrayList<>();
|
|
|
NoteRecordSplit noteRecordSplit = new NoteRecordSplit();
|
|
|
noteRecordSplit.setQuestion("办案民警问: 你给耿彪出售的车辆你们是否签订相关的协议?");
|
|
|
noteRecordSplit.setAnswer("裴金禄答: 我给耿彪出售的车辆一部分签订了车辆报废车辆转让协议，一部没有签订。");
|
|
|
noteRecordSplits.add(noteRecordSplit);
|
|
|
NoteRecordSplit noteRecordSplit1 = new NoteRecordSplit();
|
|
|
noteRecordSplit1.setQuestion("办案民警问: 耿彪和你签订协议的时候耿彪是否问你要这些车辆的手续？ ");
|
|
|
noteRecordSplit1.setAnswer("裴金禄答: 耿彪没有要,");
|
|
|
noteRecordSplits.add(noteRecordSplit1);
|
|
|
NoteRecordSplit noteRecordSplit2 = new NoteRecordSplit();
|
|
|
noteRecordSplit2.setQuestion("办案民警问: 既然耿彪都没有和你要你车辆的手续，他是否清楚这些车辆都是不合法渠道来的？ ");
|
|
|
noteRecordSplit2.setAnswer("裴金禄答: 我不知道耿彪是否清楚，我给他撒谎没有手续，耿彪也就默认再也没有和我要返回结果：");
|
|
|
noteRecordSplits.add(noteRecordSplit2);
|
|
|
|
|
|
NoteRecordSplit noteRecordSplit3 = new NoteRecordSplit();
|
|
|
noteRecordSplit3.setQuestion("办案民警问: 你们是在什么地方签订? ");
|
|
|
noteRecordSplit3.setAnswer("裴金禄答: 我每次都是在他的车上签订的车辆转让协议，具体签订地方我不知道，我只知道都是在沙坡头区城里面");
|
|
|
noteRecordSplits.add(noteRecordSplit3);
|
|
|
|
|
|
List<NoteRecordSplit> noteRecordSplits1 = recordSplitProcessService.replacePronoun(noteRecordSplits);
|
|
|
System.out.println("执行完成");
|
|
|
}
|
|
|
|
|
|
}
|