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package com.dsideal.base.AI;
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import com.dsideal.base.DataEase.Model.DataEaseModel;
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import com.dsideal.base.Util.LocalMysqlConnectUtil;
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import com.jfinal.plugin.activerecord.Db;
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import com.jfinal.plugin.activerecord.Record;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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import java.util.LinkedHashSet;
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import java.util.ArrayList;
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public class TestMax32K {
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private static final int MAX_CHUNK_SIZE = 30000; // 30K字符限制
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public static void main(String[] args) {
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LocalMysqlConnectUtil.Init();
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String[] regions = {"文山州", "楚雄州"};
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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')";
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List<Record> tableList = Db.use(DataEaseModel.DB_NAME).find(sql);
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// 使用字符串数组存储分块数据
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List<String> dataChunks = new ArrayList<>();
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StringBuilder currentChunk = new StringBuilder();
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// 添加数据说明头部
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String header = "数据说明: 以下是云南省教育数据的压缩格式\n" +
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"格式: 表名 -> 字段列表 -> 数据行(数组格式)\n" +
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"地区范围: " + String.join(",", regions) + "\n\n";
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currentChunk.append(header);
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// 遍历所有相关数据表
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for (Record record : tableList) {
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String tableName = record.getStr("TABLE_NAME");
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// 为当前表收集所有数据
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List<Record> allTableData = new ArrayList<>();
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Set<String> fieldNames = new LinkedHashSet<>();
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// 为每个地区收集数据
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for (String region : regions) {
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sql = "select * from `" + tableName + "` where `行政区划`=?";
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List<Record> listContent = Db.use(DataEaseModel.DB_NAME).find(sql, region);
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if (!listContent.isEmpty()) {
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allTableData.addAll(listContent);
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// 收集字段名(使用第一条记录的字段结构)
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if (fieldNames.isEmpty()) {
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fieldNames.addAll(listContent.get(0).getColumns().keySet());
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}
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}
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}
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if (!allTableData.isEmpty()) {
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// 构建当前表的完整数据块
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StringBuilder tableData = new StringBuilder();
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tableData.append("\n表: ").append(tableName).append("\n");
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tableData.append("字段: ").append(String.join(",", fieldNames)).append("\n");
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// 输出压缩格式的数据
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for (Record dataRecord : allTableData) {
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Map<String, Object> columns = dataRecord.getColumns();
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tableData.append("[");
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boolean first = true;
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for (String fieldName : fieldNames) {
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if (!first) tableData.append(",");
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Object value = columns.get(fieldName);
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if (value instanceof String) {
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tableData.append("\"").append(value).append("\"");
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} else {
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tableData.append(value);
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}
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first = false;
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}
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tableData.append("]\n");
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}
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// 检查是否需要分块
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String tableDataStr = tableData.toString();
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if (currentChunk.length() + tableDataStr.length() > MAX_CHUNK_SIZE) {
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// 当前块已满,保存并开始新块
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if (currentChunk.length() > header.length()) {
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dataChunks.add(currentChunk.toString());
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currentChunk = new StringBuilder();
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currentChunk.append(header);
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}
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// 如果单个表数据超过限制,需要进一步分割
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if (tableDataStr.length() > MAX_CHUNK_SIZE - header.length()) {
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List<String> tableChunks = splitLargeTable(tableName, fieldNames, allTableData, MAX_CHUNK_SIZE - header.length());
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for (int i = 0; i < tableChunks.size(); i++) {
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StringBuilder chunkBuilder = new StringBuilder();
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chunkBuilder.append(header);
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chunkBuilder.append("\n[续] 表: ").append(tableName).append(" (第").append(i + 1).append("部分)\n");
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chunkBuilder.append("字段: ").append(String.join(",", fieldNames)).append("\n");
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chunkBuilder.append(tableChunks.get(i));
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dataChunks.add(chunkBuilder.toString());
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}
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} else {
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currentChunk.append(tableDataStr);
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}
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} else {
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currentChunk.append(tableDataStr);
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}
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}
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}
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// 添加最后一个块
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if (currentChunk.length() > header.length()) {
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dataChunks.add(currentChunk.toString());
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}
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// 输出分块结果统计
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System.out.println("总共分成 " + dataChunks.size() + " 个数据块:");
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for (int i = 0; i < dataChunks.size(); i++) {
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String chunk = dataChunks.get(i);
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System.out.println("数据块 " + (i + 1) + " 长度: " + chunk.length() + " 字符");
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}
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// 返回分块数据数组供后续使用
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String[] chunksArray = dataChunks.toArray(new String[0]);
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// 示例:如何使用分块数据
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System.out.println("\n=== 可以这样使用分块数据 ===");
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for (int i = 0; i < chunksArray.length; i++) {
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System.out.println("处理第 " + (i + 1) + " 个数据块...");
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// 这里可以调用DeepSeek API处理每个块
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// String result = CallDeepSeek.callDeepSeek(chunksArray[i]);
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System.out.println("块 " + (i + 1) + " 内容预览: " +
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chunksArray[i].substring(0, Math.min(200, chunksArray[i].length())) + "...");
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}
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}
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/**
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* 分割过大的单表数据
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*/
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private static List<String> splitLargeTable(String tableName, Set<String> fieldNames,
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List<Record> allTableData, int maxSize) {
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List<String> chunks = new ArrayList<>();
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StringBuilder currentTableChunk = new StringBuilder();
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for (Record dataRecord : allTableData) {
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Map<String, Object> columns = dataRecord.getColumns();
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StringBuilder rowData = new StringBuilder();
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rowData.append("[");
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boolean first = true;
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for (String fieldName : fieldNames) {
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if (!first) rowData.append(",");
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Object value = columns.get(fieldName);
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if (value instanceof String) {
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rowData.append("\"").append(value).append("\"");
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} else {
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rowData.append(value);
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}
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first = false;
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}
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rowData.append("]\n");
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// 检查是否超过限制
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if (currentTableChunk.length() + rowData.length() > maxSize) {
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if (currentTableChunk.length() > 0) {
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chunks.add(currentTableChunk.toString());
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currentTableChunk = new StringBuilder();
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}
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}
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currentTableChunk.append(rowData);
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}
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if (currentTableChunk.length() > 0) {
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chunks.add(currentTableChunk.toString());
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}
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return chunks;
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}
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/**
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* 获取分块数据的方法(可供其他类调用)
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*/
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public static String[] getDataChunks() {
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// 这里可以将main方法中的逻辑提取出来,返回分块数据
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// 为了简化,这里只是示例
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return new String[]{"示例数据块1", "示例数据块2"};
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}
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}
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