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HuangHai 1 month ago
parent f0294aa1a5
commit 3638caaed6
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src/main/java/com/dsideal/base/AI/TestMax32K.java
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@ -5,7 +5,6 @@ import com.dsideal.base.Util.LocalMysqlConnectUtil;
import com.jfinal.plugin.activerecord.Db;
import com.jfinal.plugin.activerecord.Record;
import com.dsideal.base.Util.CallDeepSeek;
import java.util.List;
import java.util.Map;
import java.util.Set;
@ -14,9 +13,7 @@ import java.util.ArrayList;
import java.util.concurrent.CountDownLatch;
import java.text.SimpleDateFormat;
import java.util.Date;
import cn.hutool.core.io.FileUtil;
import java.io.File;
public class TestMax32K {
@ -24,27 +21,27 @@ public class TestMax32K {
public static void main(String[] args) {
LocalMysqlConnectUtil.Init();
// 直接调用生成综合报告
String report = generateComprehensiveReport();
System.out.println("\n=== 最终报告 ===");
System.out.println(report);
}
/**
* 分割过大的单表数据
*/
private static List<String> splitLargeTable(Set<String> fieldNames,
List<Record> allTableData, int maxSize) {
private static List<String> splitLargeTable(String tableName, Set<String> fieldNames,
List<Record> allTableData, int maxSize) {
List<String> chunks = new ArrayList<>();
StringBuilder currentTableChunk = new StringBuilder();
for (Record dataRecord : allTableData) {
Map<String, Object> columns = dataRecord.getColumns();
StringBuilder rowData = new StringBuilder();
rowData.append("[");
boolean first = true;
for (String fieldName : fieldNames) {
if (!first) rowData.append(",");
@ -57,159 +54,159 @@ public class TestMax32K {
first = false;
}
rowData.append("]\n");
// 检查是否超过限制
if (currentTableChunk.length() + rowData.length() > maxSize) {
if (!currentTableChunk.isEmpty()) {
if (currentTableChunk.length() > 0) {
chunks.add(currentTableChunk.toString());
currentTableChunk = new StringBuilder();
}
}
currentTableChunk.append(rowData);
}
if (!currentTableChunk.isEmpty()) {
if (currentTableChunk.length() > 0) {
chunks.add(currentTableChunk.toString());
}
return chunks;
}
/**
* 获取分块数据的方法（可供其他类调用）
*/
public static String[] getDataChunks() {
// 这里可以将main方法中的逻辑提取出来，返回分块数据
// 为了简化，这里只是示例
return new String[]{"示例数据块1", "示例数据块2"};
}
public static String generateComprehensiveReport() {
LocalMysqlConnectUtil.Init();
String[] regions = {"文山州", "楚雄州"};
String sql = "select table_name as TABLE_NAME from core_dataset_table where dataset_group_id in (select id from core_dataset_group where pid='1036317909951057920')";
List<Record> tableList = Db.use(DataEaseModel.DB_NAME).find(sql);
// 获取分块数据
String[] dataChunks = getDataChunks(regions, tableList);
List<String> chunkAnalyses = new ArrayList<>();
System.out.println("开始分析 " + dataChunks.length + " 个数据块...");
// 第一阶段：流式分析各个数据块
System.out.println("开始逐步提交 " + dataChunks.length + " 个数据块...");
final StringBuilder finalReport = new StringBuilder();
final CountDownLatch finalLatch = new CountDownLatch(1);
// 逐步提交数据块
for (int i = 0; i < dataChunks.length; i++) {
final int chunkIndex = i;
final StringBuilder chunkResult = new StringBuilder();
final CountDownLatch latch = new CountDownLatch(1);
String prompt = "请对以下教育数据进行简要分析，重点关注关键指标和趋势，控制在500字以内：\n" + dataChunks[i];
System.out.println("\n=== 正在分析第 " + (i + 1) + " 个数据块 ===");
final boolean isLastChunk = (i == dataChunks.length - 1);
String prompt;
if (isLastChunk) {
// 最后一个数据块：要求返回完整分析报告
prompt = "这是最后一部分教育数据，请基于之前提交的所有数据生成一份完整的综合分析报告（3000字以内）：\n" + dataChunks[i];
} else {
// 中间数据块：只提交数据，不要求返回分析
prompt = "这是第" + (i + 1) + "部分教育数据，共" + dataChunks.length + "部分，请接收并记录，暂不需要分析：\n" + dataChunks[i];
}
System.out.println("\n=== 提交第 " + (i + 1) + "/" + dataChunks.length + " 个数据块 ===");
final CountDownLatch chunkLatch = new CountDownLatch(1);
CallDeepSeek.callDeepSeekStream(prompt, new CallDeepSeek.SSEListener() {
@Override
public void onData(String data) {
System.out.print(data);
chunkResult.append(data);
if (isLastChunk) {
// 只有最后一个数据块才显示和保存返回内容
System.out.print(data);
finalReport.append(data);
} else {
// 中间数据块的响应不显示（或只显示确认信息）
// System.out.print("."); // 可选：显示进度点
}
}
@Override
public void onComplete(String fullResponse) {
System.out.println("\n--- 第 " + (chunkIndex + 1) + " 个数据块分析完成 ---\n");
chunkAnalyses.add(chunkResult.toString());
latch.countDown();
if (isLastChunk) {
System.out.println("\n\n=== 综合分析报告生成完成 ===");
// 保存报告到文件
try {
String timestamp = new SimpleDateFormat("yyyyMMdd_HHmmss").format(new Date());
String fileName = "教育数据综合分析报告_" + timestamp + ".txt";
String filePath = "WebRoot/upload/" + fileName;
FileUtil.writeString(finalReport.toString(), new File(filePath), "UTF-8");
System.out.println("报告已保存到: " + filePath);
} catch (Exception e) {
System.err.println("保存报告时出错: " + e.getMessage());
}
finalLatch.countDown();
} else {
System.out.println("第 " + (chunkIndex + 1) + " 个数据块已提交");
}
chunkLatch.countDown();
}
@Override
public void onError(String error) {
System.err.println("分析第 " + (chunkIndex + 1) + " 个数据块时出错: " + error);
chunkAnalyses.add("分析失败: " + error);
latch.countDown();
System.err.println("提交第 " + (chunkIndex + 1) + " 个数据块时出错: " + error);
if (isLastChunk) {
finalReport.append("生成失败: ").append(error);
finalLatch.countDown();
}
chunkLatch.countDown();
}
});
try {
// 等待当前块分析完成
latch.await();
Thread.sleep(1000); // 稍微延迟，避免API调用过于频繁
// 等待当前块处理完成
chunkLatch.await();
if (!isLastChunk) {
Thread.sleep(1000); // 中间块之间稍微延迟
}
} catch (InterruptedException e) {
System.err.println("等待分析结果时被中断: " + e.getMessage());
System.err.println("等待数据块处理时被中断: " + e.getMessage());
}
}
// 第二阶段：流式生成综合报告
System.out.println("\n=== 开始生成综合分析报告 ===");
StringBuilder combinedAnalysis = new StringBuilder();
combinedAnalysis.append("基于以下分块分析结果，请生成一份完整的教育数据综合分析报告（3000字以内）：\n\n");
for (int i = 0; i < chunkAnalyses.size(); i++) {
combinedAnalysis.append("数据块").append(i + 1).append("分析：\n");
combinedAnalysis.append(chunkAnalyses.get(i)).append("\n\n");
}
final StringBuilder finalReport = new StringBuilder();
final CountDownLatch finalLatch = new CountDownLatch(1);
CallDeepSeek.callDeepSeekStream(combinedAnalysis.toString(), new CallDeepSeek.SSEListener() {
@Override
public void onData(String data) {
System.out.print(data);
finalReport.append(data);
}
@Override
public void onComplete(String fullResponse) {
System.out.println("\n\n=== 综合分析报告生成完成 ===");
// 保存报告到文件
try {
String timestamp = new SimpleDateFormat("yyyyMMdd_HHmmss").format(new Date());
String fileName = "教育数据综合分析报告_" + timestamp + ".txt";
String filePath = "WebRoot/upload/" + fileName;
FileUtil.writeString(finalReport.toString(), new File(filePath), "UTF-8");
System.out.println("报告已保存到: " + filePath);
} catch (Exception e) {
System.err.println("保存报告时出错: " + e.getMessage());
}
finalLatch.countDown();
}
@Override
public void onError(String error) {
System.err.println("生成综合报告时出错: " + error);
finalReport.append("生成失败: ").append(error);
finalLatch.countDown();
}
});
try {
finalLatch.await();
} catch (InterruptedException e) {
System.err.println("等待最终报告时被中断: " + e.getMessage());
}
return finalReport.toString();
}
/**
* 提取数据分块逻辑为独立方法
*/
private static String[] getDataChunks(String[] regions, List<Record> tableList) {
List<String> dataChunks = new ArrayList<>();
StringBuilder currentChunk = new StringBuilder();
String header = "数据说明: 以下是云南省教育数据的压缩格式\n" +
"格式: 表名 -> 字段列表 -> 数据行(数组格式)\n" +
"地区范围: " + String.join(",", regions) + "\n\n";
"格式: 表名 -> 字段列表 -> 数据行(数组格式)\n" +
"地区范围: " + String.join(",", regions) + "\n\n";
currentChunk.append(header);
// 遍历所有相关数据表
for (Record record : tableList) {
String tableName = record.getStr("TABLE_NAME");
// 为当前表收集所有数据
List<Record> allTableData = new ArrayList<>();
Set<String> fieldNames = new LinkedHashSet<>();
// 为每个地区收集数据
for (String region : regions) {
String sql = "select * from `" + tableName + "` where `行政区划`=?";
List<Record> listContent = Db.use(DataEaseModel.DB_NAME).find(sql, region);
if (!listContent.isEmpty()) {
allTableData.addAll(listContent);
// 收集字段名（使用第一条记录的字段结构）
@ -218,18 +215,18 @@ public class TestMax32K {
}
}
}
if (!allTableData.isEmpty()) {
// 构建当前表的完整数据块
StringBuilder tableData = new StringBuilder();
tableData.append("\n表: ").append(tableName).append("\n");
tableData.append("字段: ").append(String.join(",", fieldNames)).append("\n");
// 输出压缩格式的数据
for (Record dataRecord : allTableData) {
Map<String, Object> columns = dataRecord.getColumns();
tableData.append("[");
boolean first = true;
for (String fieldName : fieldNames) {
if (!first) tableData.append(",");
@ -241,10 +238,10 @@ public class TestMax32K {
}
first = false;
}
tableData.append("]\n");
}
// 检查是否需要分块
String tableDataStr = tableData.toString();
if (currentChunk.length() + tableDataStr.length() > MAX_CHUNK_SIZE) {
@ -254,10 +251,10 @@ public class TestMax32K {
currentChunk = new StringBuilder();
currentChunk.append(header);
}
// 如果单个表数据超过限制，需要进一步分割
if (tableDataStr.length() > MAX_CHUNK_SIZE - header.length()) {
List<String> tableChunks = splitLargeTable(fieldNames, allTableData, MAX_CHUNK_SIZE - header.length());
List<String> tableChunks = splitLargeTable(tableName, fieldNames, allTableData, MAX_CHUNK_SIZE - header.length());
for (int i = 0; i < tableChunks.size(); i++) {
StringBuilder chunkBuilder = new StringBuilder();
chunkBuilder.append(header);
@ -274,12 +271,12 @@ public class TestMax32K {
}
}
}
// 添加最后一个块
if (currentChunk.length() > header.length()) {
dataChunks.add(currentChunk.toString());
}
return dataChunks.toArray(new String[0]);
}
}

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