【移除】数据库文档,简化项目的复杂度
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@ -475,22 +475,6 @@
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<version>${fastjson.version}</version>
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</dependency>
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<dependency>
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<groupId>cn.smallbun.screw</groupId>
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<artifactId>screw-core</artifactId> <!-- 实现数据库文档 -->
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<version>${screw.version}</version>
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<exclusions>
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<exclusion>
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<groupId>org.freemarker</groupId>
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<artifactId>freemarker</artifactId> <!-- 移除 Freemarker 依赖,采用 Velocity 作为模板引擎 -->
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</exclusion>
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<exclusion>
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<groupId>com.alibaba</groupId>
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<artifactId>fastjson</artifactId> <!-- 最新版screw-core1.0.5依赖fastjson1.2.73存在漏洞,移除。 -->
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>com.google.guava</groupId>
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<artifactId>guava</artifactId>
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@ -95,11 +95,6 @@
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<artifactId>velocity-engine-core</artifactId> <!-- 实现代码生成 -->
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</dependency>
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<dependency>
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<groupId>cn.smallbun.screw</groupId>
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<artifactId>screw-core</artifactId> <!-- 实现数据库文档 -->
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</dependency>
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<!-- 监控相关 -->
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<dependency>
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<groupId>cn.iocoder.boot</groupId>
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@ -1,154 +0,0 @@
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package cn.iocoder.yudao.module.infra.controller.admin.db;
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import cn.hutool.core.io.FileUtil;
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import cn.hutool.core.util.IdUtil;
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import cn.iocoder.yudao.framework.common.util.servlet.ServletUtils;
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import cn.smallbun.screw.core.Configuration;
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import cn.smallbun.screw.core.engine.EngineConfig;
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import cn.smallbun.screw.core.engine.EngineFileType;
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import cn.smallbun.screw.core.engine.EngineTemplateType;
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import cn.smallbun.screw.core.execute.DocumentationExecute;
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import cn.smallbun.screw.core.process.ProcessConfig;
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import com.baomidou.dynamic.datasource.creator.DataSourceProperty;
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import com.baomidou.dynamic.datasource.spring.boot.autoconfigure.DynamicDataSourceProperties;
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import com.zaxxer.hikari.HikariConfig;
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import com.zaxxer.hikari.HikariDataSource;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import io.swagger.v3.oas.annotations.Parameter;
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import io.swagger.v3.oas.annotations.Operation;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RequestParam;
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import org.springframework.web.bind.annotation.RestController;
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import jakarta.annotation.Resource;
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import jakarta.servlet.http.HttpServletResponse;
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import java.io.File;
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import java.io.IOException;
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import java.util.Arrays;
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@Tag(name = "管理后台 - 数据库文档")
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@RestController
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@RequestMapping("/infra/db-doc")
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public class DatabaseDocController {
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@Resource
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private DynamicDataSourceProperties dynamicDataSourceProperties;
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private static final String FILE_OUTPUT_DIR = System.getProperty("java.io.tmpdir") + File.separator
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+ "db-doc";
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private static final String DOC_FILE_NAME = "数据库文档";
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private static final String DOC_VERSION = "1.0.0";
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private static final String DOC_DESCRIPTION = "文档描述";
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@GetMapping("/export-html")
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@Operation(summary = "导出 html 格式的数据文档")
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@Parameter(name = "deleteFile", description = "是否删除在服务器本地生成的数据库文档", example = "true")
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public void exportHtml(@RequestParam(defaultValue = "true") Boolean deleteFile,
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HttpServletResponse response) throws IOException {
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doExportFile(EngineFileType.HTML, deleteFile, response);
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}
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@GetMapping("/export-word")
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@Operation(summary = "导出 word 格式的数据文档")
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@Parameter(name = "deleteFile", description = "是否删除在服务器本地生成的数据库文档", example = "true")
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public void exportWord(@RequestParam(defaultValue = "true") Boolean deleteFile,
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HttpServletResponse response) throws IOException {
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doExportFile(EngineFileType.WORD, deleteFile, response);
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}
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@GetMapping("/export-markdown")
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@Operation(summary = "导出 markdown 格式的数据文档")
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@Parameter(name = "deleteFile", description = "是否删除在服务器本地生成的数据库文档", example = "true")
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public void exportMarkdown(@RequestParam(defaultValue = "true") Boolean deleteFile,
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HttpServletResponse response) throws IOException {
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doExportFile(EngineFileType.MD, deleteFile, response);
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}
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private void doExportFile(EngineFileType fileOutputType, Boolean deleteFile,
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HttpServletResponse response) throws IOException {
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String docFileName = DOC_FILE_NAME + "_" + IdUtil.fastSimpleUUID();
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String filePath = doExportFile(fileOutputType, docFileName);
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String downloadFileName = DOC_FILE_NAME + fileOutputType.getFileSuffix(); //下载后的文件名
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try {
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// 读取,返回
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ServletUtils.writeAttachment(response, downloadFileName, FileUtil.readBytes(filePath));
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} finally {
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handleDeleteFile(deleteFile, filePath);
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}
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}
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/**
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* 输出文件,返回文件路径
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*
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* @param fileOutputType 文件类型
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* @param fileName 文件名, 无需 ".docx" 等文件后缀
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* @return 生成的文件所在路径
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*/
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private String doExportFile(EngineFileType fileOutputType, String fileName) {
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try (HikariDataSource dataSource = buildDataSource()) {
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// 创建 screw 的配置
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Configuration config = Configuration.builder()
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.version(DOC_VERSION) // 版本
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.description(DOC_DESCRIPTION) // 描述
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.dataSource(dataSource) // 数据源
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.engineConfig(buildEngineConfig(fileOutputType, fileName)) // 引擎配置
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.produceConfig(buildProcessConfig()) // 处理配置
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.build();
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// 执行 screw,生成数据库文档
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new DocumentationExecute(config).execute();
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return FILE_OUTPUT_DIR + File.separator + fileName + fileOutputType.getFileSuffix();
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}
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}
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private void handleDeleteFile(Boolean deleteFile, String filePath) {
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if (!deleteFile) {
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return;
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}
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FileUtil.del(filePath);
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}
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/**
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* 创建数据源
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*/
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// TODO 芋艿:screw 暂时不支持 druid,尴尬
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private HikariDataSource buildDataSource() {
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// 获得 DataSource 数据源,目前只支持首个
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String primary = dynamicDataSourceProperties.getPrimary();
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DataSourceProperty dataSourceProperty = dynamicDataSourceProperties.getDatasource().get(primary);
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// 创建 HikariConfig 配置类
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HikariConfig hikariConfig = new HikariConfig();
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hikariConfig.setJdbcUrl(dataSourceProperty.getUrl());
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hikariConfig.setUsername(dataSourceProperty.getUsername());
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hikariConfig.setPassword(dataSourceProperty.getPassword());
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hikariConfig.addDataSourceProperty("useInformationSchema", "true"); // 设置可以获取 tables remarks 信息
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// 创建数据源
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return new HikariDataSource(hikariConfig);
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}
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/**
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* 创建 screw 的引擎配置
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*/
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private static EngineConfig buildEngineConfig(EngineFileType fileOutputType, String docFileName) {
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return EngineConfig.builder()
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.fileOutputDir(FILE_OUTPUT_DIR) // 生成文件路径
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.openOutputDir(false) // 打开目录
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.fileType(fileOutputType) // 文件类型
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.produceType(EngineTemplateType.velocity) // 文件类型
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.fileName(docFileName) // 自定义文件名称
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.build();
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}
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/**
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* 创建 screw 的处理配置,一般可忽略
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* 指定生成逻辑、当存在指定表、指定表前缀、指定表后缀时,将生成指定表,其余表不生成、并跳过忽略表配置
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*/
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private static ProcessConfig buildProcessConfig() {
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return ProcessConfig.builder()
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.ignoreTablePrefix(Arrays.asList("QRTZ_", "ACT_", "FLW_")) // 忽略表前缀
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.build();
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}
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}
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