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@ -3,6 +3,8 @@ package app
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import org.aikrai.vertx.db.annotation.TableField
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import org.aikrai.vertx.db.annotation.TableId
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import org.aikrai.vertx.db.annotation.TableName
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import org.aikrai.vertx.db.annotation.TableIndex
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import org.aikrai.vertx.db.annotation.EnumValue
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import org.aikrai.vertx.db.migration.AnnotationMapping
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import org.aikrai.vertx.db.migration.ColumnMapping
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import org.aikrai.vertx.db.migration.DbMigration
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@ -38,6 +40,7 @@ object GenerateMigration {
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val dbMigration = DbMigration.create()
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dbMigration.setEntityPackage("app.data.domain") // 指定实体类包路径
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dbMigration.setSqlAnnotationMapper(mapper)
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dbMigration.setGenerateDropStatements(false) // 不生成删除语句
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// 生成迁移
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val migrationVersion = dbMigration.generateMigration()
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@ -55,6 +58,12 @@ object GenerateMigration {
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private fun createSqlAnnotationMapper(): SqlAnnotationMapper {
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val mapper = SqlAnnotationMapper()
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// 设置实体类注解映射
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mapper.entityMapping = AnnotationMapping(
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annotationClass = TableName::class,
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propertyName = "value"
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)
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// 设置表名映射
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mapper.tableName = AnnotationMapping(
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annotationClass = TableName::class,
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@ -79,6 +88,14 @@ object GenerateMigration {
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defaultValueMapping = AnnotationMapping(
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annotationClass = TableField::class,
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propertyName = "default"
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),
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lengthMapping = AnnotationMapping(
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annotationClass = TableField::class,
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propertyName = "length"
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),
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uniqueMapping = AnnotationMapping(
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annotationClass = TableField::class,
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propertyName = "unique"
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)
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)
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)
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@ -89,6 +106,18 @@ object GenerateMigration {
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propertyName = "value"
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)
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// 设置索引映射
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mapper.indexMapping = AnnotationMapping(
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annotationClass = TableIndex::class,
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propertyName = "name"
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)
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// 设置枚举值映射
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mapper.enumValueMapping = AnnotationMapping(
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annotationClass = EnumValue::class,
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propertyName = "value"
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)
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return mapper
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}
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}
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@ -1,8 +1,6 @@
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package org.aikrai.vertx.db.migration
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import java.io.File
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import java.io.IOException
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import kotlin.reflect.KClass
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/**
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* 生成PostgreSQL DDL迁移脚本,基于实体类及其注解的变更。
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@ -89,6 +87,15 @@ interface DbMigration {
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*/
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fun setLogToSystemOut(logToSystemOut: Boolean)
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/**
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* 设置是否生成删除语句(默认为false)
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* <p>
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* 如果设置为false,生成的SQL中将不包含任何DROP语句。
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* 但.model.xml文件中仍会记录删除表和字段的信息。
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* </p>
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*/
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fun setGenerateDropStatements(generateDropStatements: Boolean)
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/**
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* 生成下一次迁移SQL脚本和相关模型XML
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* <p>
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@ -16,6 +16,7 @@ class DefaultDbMigration : DbMigration {
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private var version: String? = null
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private var name: String? = null
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private var logToSystemOut: Boolean = true
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private var generateDropStatements: Boolean = false
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override fun setEntityPackage(packagePath: String) {
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this.entityPackage = packagePath
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@ -53,6 +54,10 @@ class DefaultDbMigration : DbMigration {
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this.logToSystemOut = logToSystemOut
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}
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override fun setGenerateDropStatements(generateDropStatements: Boolean) {
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this.generateDropStatements = generateDropStatements
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}
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override fun generateMigration(): String? {
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validateConfiguration()
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@ -66,6 +71,9 @@ class DefaultDbMigration : DbMigration {
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System.setProperty("ddl.migration.name", name!!)
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}
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// 设置是否生成删除语句
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System.setProperty("ddl.migration.generateDropStatements", generateDropStatements.toString())
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try {
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SqlMigrationGenerator.generateMigrations(entityPackage, sqlAnnotationMapper!!)
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return version
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@ -83,6 +91,7 @@ class DefaultDbMigration : DbMigration {
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if (name != null) {
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System.clearProperty("ddl.migration.name")
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}
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System.clearProperty("ddl.migration.generateDropStatements")
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}
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}
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@ -99,6 +108,9 @@ class DefaultDbMigration : DbMigration {
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System.setProperty("ddl.migration.name", name!!)
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}
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// 设置是否生成删除语句
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System.setProperty("ddl.migration.generateDropStatements", generateDropStatements.toString())
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try {
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// 修改目录结构,强制生成初始迁移
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val modelDir = File("${pathToResources}/${migrationPath}/${modelPath}")
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@ -128,6 +140,7 @@ class DefaultDbMigration : DbMigration {
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if (name != null) {
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System.clearProperty("ddl.migration.name")
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}
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System.clearProperty("ddl.migration.generateDropStatements")
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}
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}
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@ -1,6 +1,5 @@
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package org.aikrai.vertx.db.migration
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import java.time.LocalDateTime
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import kotlin.reflect.KClass
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/**
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@ -8,6 +7,12 @@ import kotlin.reflect.KClass
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* 用于记录从哪些注解获取SQL生成所需的信息
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*/
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class SqlAnnotationMapper {
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/**
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* 实体类注解映射
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* 用于标识哪个类是实体类
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*/
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var entityMapping: AnnotationMapping? = null
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/**
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* 表名映射信息
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*/
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@ -23,6 +28,16 @@ class SqlAnnotationMapper {
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*/
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var primaryKeyMapping: AnnotationMapping? = null
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/**
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* 索引映射信息
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*/
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var indexMapping: AnnotationMapping? = null
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/**
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* 枚举值映射信息
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*/
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var enumValueMapping: AnnotationMapping? = null
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/**
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* 其他自定义映射
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*/
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@ -65,384 +80,9 @@ data class ColumnMapping(
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/** 是否可为空映射,可选 */
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val nullableMapping: AnnotationMapping? = null,
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/** 默认值映射,可选 */
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val defaultValueMapping: AnnotationMapping? = null
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)
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/**
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* SQL注解映射生成器
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* 用于生成和使用SQL注解映射中间类
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*/
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class SqlAnnotationMapperGenerator {
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companion object {
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/**
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* 从实体类获取SQL信息
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* @param entityClass 实体类
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* @param mapper 注解映射中间类
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* @return SQL信息
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*/
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fun extractSqlInfo(entityClass: KClass<*>, mapper: SqlAnnotationMapper): SqlInfo {
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val sqlInfo = SqlInfo()
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// 获取表名
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if (mapper.tableName == null) {
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throw IllegalArgumentException("表名映射未设置,请检查SqlAnnotationMapper中的tableName配置")
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}
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try {
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val tableNameMapping = mapper.tableName!!
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val annotation = entityClass.annotations.find {
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it.annotationClass.qualifiedName == tableNameMapping.annotationClass.qualifiedName
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}
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if (annotation == null) {
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throw IllegalArgumentException("实体类 ${entityClass.simpleName} 未标记 @${tableNameMapping.annotationClass.simpleName} 注解")
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}
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try {
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val method = annotation.javaClass.getMethod(tableNameMapping.propertyName)
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sqlInfo.tableName = method.invoke(annotation) as String
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if (sqlInfo.tableName.isEmpty()) {
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throw IllegalArgumentException("实体类 ${entityClass.simpleName} 的表名为空,请检查 @${tableNameMapping.annotationClass.simpleName} 注解的 ${tableNameMapping.propertyName} 属性")
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}
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} catch (e: Exception) {
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throw IllegalArgumentException("获取 ${entityClass.simpleName} 的表名失败: ${e.message}", e)
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}
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} catch (e: Exception) {
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throw IllegalArgumentException("处理实体类 ${entityClass.simpleName} 的表名时出错: ${e.message}", e)
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}
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// 获取实体类的所有字段
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val fields = entityClass.java.declaredFields
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if (fields.isEmpty()) {
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throw IllegalArgumentException("实体类 ${entityClass.simpleName} 没有声明任何字段")
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}
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// 创建已处理字段名集合,用于记录已经处理过的字段
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val processedFields = mutableSetOf<String>()
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// 查找实体类中的@Transient注解类
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val transientAnnotationClasses = listOf(
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"kotlin.jvm.Transient",
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"javax.persistence.Transient",
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"jakarta.persistence.Transient",
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"java.beans.Transient",
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"org.aikrai.vertx.db.annotation.Transient"
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)
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fields.forEach { field ->
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try {
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// 检查字段是否有@Transient注解,如果有则跳过
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val isTransient = field.annotations.any { annotation ->
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transientAnnotationClasses.any { className ->
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annotation.annotationClass.qualifiedName == className
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}
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}
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if (isTransient) {
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return@forEach
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}
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// 获取列信息
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val columnInfo = ColumnInfo()
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var foundColumnMapping = false
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// 处理每个列映射 - 这部分处理带有特定注解的字段
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mapper.columnMappings.forEach { columnMapping ->
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val nameAnnotation = field.annotations.find {
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it.annotationClass.qualifiedName == columnMapping.nameMapping.annotationClass.qualifiedName
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}
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if (nameAnnotation != null) {
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foundColumnMapping = true
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try {
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val nameMethod = nameAnnotation.javaClass.getMethod(columnMapping.nameMapping.propertyName)
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val columnName = nameMethod.invoke(nameAnnotation) as? String
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columnInfo.name = if (columnName.isNullOrEmpty()) toSnakeCase(field.name) else columnName
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// 处理类型映射
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columnMapping.typeMapping?.let { typeMapping ->
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val typeAnnotation = field.annotations.find {
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it.annotationClass.qualifiedName == typeMapping.annotationClass.qualifiedName
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}
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if (typeAnnotation != null) {
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try {
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val typeMethod = typeAnnotation.javaClass.getMethod(typeMapping.propertyName)
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val typeName = typeMethod.invoke(typeAnnotation) as String
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columnInfo.type = if (typeName.isEmpty()) {
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inferSqlType(field.type, columnInfo)
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} else {
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typeName
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}
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} catch (e: Exception) {
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throw IllegalArgumentException("处理字段 ${field.name} 的类型映射时出错: ${e.message}", e)
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}
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} else {
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columnInfo.type = inferSqlType(field.type, columnInfo)
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}
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}
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// 处理可空映射
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columnMapping.nullableMapping?.let { nullableMapping ->
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val nullableAnnotation = field.annotations.find {
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it.annotationClass.qualifiedName == nullableMapping.annotationClass.qualifiedName
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}
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if (nullableAnnotation != null) {
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try {
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val nullableMethod = nullableAnnotation.javaClass.getMethod(nullableMapping.propertyName)
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columnInfo.nullable = nullableMethod.invoke(nullableAnnotation) as Boolean
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} catch (e: Exception) {
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throw IllegalArgumentException("处理字段 ${field.name} 的可空性映射时出错: ${e.message}", e)
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}
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}
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}
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// 处理默认值映射
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columnMapping.defaultValueMapping?.let { defaultValueMapping ->
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val defaultValueAnnotation = field.annotations.find {
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it.annotationClass.qualifiedName == defaultValueMapping.annotationClass.qualifiedName
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}
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if (defaultValueAnnotation != null) {
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try {
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val defaultValueMethod = defaultValueAnnotation.javaClass.getMethod(defaultValueMapping.propertyName)
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columnInfo.defaultValue = defaultValueMethod.invoke(defaultValueAnnotation) as String
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} catch (e: Exception) {
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throw IllegalArgumentException("处理字段 ${field.name} 的默认值映射时出错: ${e.message}", e)
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}
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}
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}
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sqlInfo.columns.add(columnInfo)
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processedFields.add(field.name) // 记录已处理的字段
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} catch (e: Exception) {
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throw IllegalArgumentException("处理字段 ${field.name} 时出错: ${e.message}", e)
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}
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}
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}
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// 处理主键
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if (mapper.primaryKeyMapping != null) {
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val pkMapping = mapper.primaryKeyMapping!!
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val pkAnnotation = field.annotations.find {
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it.annotationClass.qualifiedName == pkMapping.annotationClass.qualifiedName
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}
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if (pkAnnotation != null) {
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try {
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val pkMethod = pkAnnotation.javaClass.getMethod(pkMapping.propertyName)
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val isPk = pkMethod.invoke(pkAnnotation)
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if (isPk is Boolean && isPk) {
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// 如果字段还未处理,创建默认列信息
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if (!processedFields.contains(field.name)) {
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columnInfo.name = toSnakeCase(field.name)
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columnInfo.type = inferSqlType(field.type, columnInfo)
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columnInfo.isPrimaryKey = true
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sqlInfo.columns.add(columnInfo)
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sqlInfo.primaryKeys.add(columnInfo.name)
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processedFields.add(field.name)
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} else {
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// 如果已处理,找到对应列并标记为主键
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val column = sqlInfo.columns.find { it.name == toSnakeCase(field.name) || it.name == field.name }
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if (column != null) {
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column.isPrimaryKey = true
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if (!sqlInfo.primaryKeys.contains(column.name)) {
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sqlInfo.primaryKeys.add(column.name)
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}
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}
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}
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}
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} catch (e: Exception) {
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throw IllegalArgumentException("处理字段 ${field.name} 的主键映射时出错: ${e.message}", e)
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}
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}
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}
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// 如果字段未被处理,并且不是static或transient,添加默认处理
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if (!processedFields.contains(field.name) &&
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!java.lang.reflect.Modifier.isStatic(field.modifiers) &&
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!java.lang.reflect.Modifier.isTransient(field.modifiers)) {
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// 检查字段类型是否可空
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val isNullable = isNullableType(field)
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// 创建默认列信息
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val defaultColumnInfo = ColumnInfo(
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name = toSnakeCase(field.name),
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type = "", // 先不设置类型
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nullable = isNullable,
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defaultValue = "",
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isPrimaryKey = false
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)
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// 设置类型并处理枚举值
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defaultColumnInfo.type = inferSqlType(field.type, defaultColumnInfo)
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sqlInfo.columns.add(defaultColumnInfo)
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processedFields.add(field.name)
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}
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} catch (e: Exception) {
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throw IllegalArgumentException("处理实体类 ${entityClass.simpleName} 的字段 ${field.name} 时出错: ${e.message}", e)
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}
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}
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// 验证结果
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if (sqlInfo.tableName.isEmpty()) {
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throw IllegalArgumentException("实体类 ${entityClass.simpleName} 的表名为空,请检查表名注解")
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}
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if (sqlInfo.columns.isEmpty()) {
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throw IllegalArgumentException("实体类 ${entityClass.simpleName} 没有可用的列信息,请检查列注解")
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}
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return sqlInfo
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}
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/**
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* 将驼峰命名转换为蛇形命名
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*/
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private fun toSnakeCase(camelCase: String): String {
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return camelCase.replace(Regex("([a-z])([A-Z])"), "$1_$2").toLowerCase()
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}
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/**
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* 根据Java类型推断SQL类型
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*/
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private fun inferSqlType(javaType: Class<*>, columnInfo: ColumnInfo? = null): String {
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val sqlType = when {
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javaType == String::class.java -> "VARCHAR(255)"
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javaType == Int::class.java || javaType == Integer::class.java -> "INTEGER"
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javaType == Long::class.java || javaType == java.lang.Long::class.java -> "BIGINT"
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javaType == Double::class.java || javaType == java.lang.Double::class.java -> "DOUBLE PRECISION"
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javaType == Float::class.java || javaType == java.lang.Float::class.java -> "REAL"
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javaType == Boolean::class.java || javaType == java.lang.Boolean::class.java -> "BOOLEAN"
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javaType == Char::class.java || javaType == Character::class.java -> "CHAR(1)"
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javaType == java.util.Date::class.java || javaType == java.sql.Date::class.java -> "DATE"
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javaType == java.sql.Timestamp::class.java -> "TIMESTAMPTZ"
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javaType == LocalDateTime::class.java -> "TIMESTAMPTZ"
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javaType == ByteArray::class.java -> "BYTEA"
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javaType.name.contains("Map") || javaType.name.contains("HashMap") -> "JSONB"
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javaType.name.contains("List") || javaType.name.contains("ArrayList") -> "JSONB"
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javaType.name.contains("Set") || javaType.name.contains("HashSet") -> "JSONB"
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javaType.name.endsWith("DTO") || javaType.name.endsWith("Dto") -> "JSONB"
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javaType.name.contains("Json") || javaType.name.contains("JSON") -> "JSONB"
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||||
javaType.isEnum -> {
|
||||
// 处理枚举类型,提取枚举值并保存到columnInfo中
|
||||
if (columnInfo != null) {
|
||||
try {
|
||||
// 获取枚举类中的所有枚举常量
|
||||
val enumConstants = javaType.enumConstants
|
||||
if (enumConstants != null && enumConstants.isNotEmpty()) {
|
||||
// 提取枚举常量的名称
|
||||
val enumValues = enumConstants.map { it.toString() }
|
||||
columnInfo.enumValues = enumValues
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 忽略枚举值提取失败的情况
|
||||
}
|
||||
}
|
||||
"VARCHAR(50)"
|
||||
}
|
||||
else -> "VARCHAR(255)"
|
||||
}
|
||||
|
||||
return sqlType
|
||||
}
|
||||
|
||||
/**
|
||||
* 判断字段类型是否可空
|
||||
*/
|
||||
private fun isNullableType(field: java.lang.reflect.Field): Boolean {
|
||||
// 检查字段类型名称中是否包含Nullable标记
|
||||
val typeName = field.genericType.typeName
|
||||
|
||||
// 1. 先检查字段类型名是否包含"?",这是Kotlin可空类型的标志
|
||||
if (typeName.contains("?")) {
|
||||
return true
|
||||
}
|
||||
|
||||
// 2. 检查字段是否为Java原始类型,这些类型不可为空
|
||||
if (field.type.isPrimitive) {
|
||||
return false
|
||||
}
|
||||
|
||||
// 3. 通过Java反射获取字段的声明可空性
|
||||
try {
|
||||
// 检查是否有@Nullable相关注解
|
||||
val hasNullableAnnotation = field.annotations.any {
|
||||
val name = it.annotationClass.qualifiedName ?: ""
|
||||
name.contains("Nullable") || name.contains("nullable")
|
||||
}
|
||||
|
||||
if (hasNullableAnnotation) {
|
||||
return true
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 忽略注解检查错误
|
||||
}
|
||||
|
||||
// 4. 检查字段的类型并判断其可空性
|
||||
// Kotlin的String类型不可为空,而Java的String类型可为空
|
||||
if (field.type == String::class.java) {
|
||||
// 尝试通过字段的初始值判断
|
||||
try {
|
||||
field.isAccessible = true
|
||||
// 如果是非静态字段且初始值为null,则可能为可空类型
|
||||
if (!java.lang.reflect.Modifier.isStatic(field.modifiers)) {
|
||||
// 对于具有初始值的非静态字段,如果初始值为非null字符串,则认为是非可空类型
|
||||
// 如果字段名以OrNull或Optional结尾,认为是可空类型
|
||||
if (field.name.endsWith("OrNull") || field.name.endsWith("Optional")) {
|
||||
return true
|
||||
}
|
||||
|
||||
// 对于Kotlin中的非空String类型,如果有初始值"",则不可为空
|
||||
// 检查是否为Kotlin类型
|
||||
val isKotlinType = typeName.startsWith("kotlin.")
|
||||
if (isKotlinType) {
|
||||
return false // Kotlin中的String类型不可为空
|
||||
}
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 忽略访问字段值的错误
|
||||
}
|
||||
}
|
||||
|
||||
// 5. 检查字段是否为其他Kotlin基本类型且非可空
|
||||
if (field.type == Int::class.java ||
|
||||
field.type == Long::class.java ||
|
||||
field.type == Boolean::class.java ||
|
||||
field.type == Float::class.java ||
|
||||
field.type == Double::class.java ||
|
||||
field.type == Char::class.java ||
|
||||
field.type == Byte::class.java ||
|
||||
field.type == Short::class.java) {
|
||||
// Kotlin基本类型不带?就不可为空
|
||||
return false
|
||||
}
|
||||
|
||||
// 6. 默认情况: 引用类型默认认为是可空的
|
||||
return true
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* SQL信息类
|
||||
* 存储从实体类中提取的SQL相关信息
|
||||
*/
|
||||
data class SqlInfo(
|
||||
var tableName: String = "",
|
||||
val columns: MutableList<ColumnInfo> = mutableListOf(),
|
||||
val primaryKeys: MutableList<String> = mutableListOf()
|
||||
)
|
||||
|
||||
/**
|
||||
* 列信息类
|
||||
*/
|
||||
data class ColumnInfo(
|
||||
var name: String = "",
|
||||
var type: String = "",
|
||||
var nullable: Boolean = true,
|
||||
var defaultValue: String = "",
|
||||
var isPrimaryKey: Boolean = false,
|
||||
var enumValues: List<String>? = null
|
||||
val defaultValueMapping: AnnotationMapping? = null,
|
||||
/** 字段长度映射,可选 */
|
||||
val lengthMapping: AnnotationMapping? = null,
|
||||
/** 是否唯一映射,可选 */
|
||||
val uniqueMapping: AnnotationMapping? = null
|
||||
)
|
||||
@ -0,0 +1,516 @@
|
||||
package org.aikrai.vertx.db.migration
|
||||
|
||||
import java.time.LocalDateTime
|
||||
import kotlin.reflect.KClass
|
||||
|
||||
/**
|
||||
* SQL注解映射生成器
|
||||
* 用于生成和使用SQL注解映射中间类
|
||||
*/
|
||||
class SqlAnnotationMapperGenerator {
|
||||
|
||||
companion object {
|
||||
/**
|
||||
* 从实体类获取SQL信息
|
||||
* @param entityClass 实体类
|
||||
* @param mapper 注解映射中间类
|
||||
* @return SQL信息
|
||||
*/
|
||||
fun extractSqlInfo(entityClass: KClass<*>, mapper: SqlAnnotationMapper): SqlInfo {
|
||||
val sqlInfo = SqlInfo()
|
||||
|
||||
// 验证实体类注解
|
||||
val isEntityClass = validateEntityClass(entityClass, mapper)
|
||||
if (!isEntityClass) {
|
||||
throw IllegalArgumentException("类 ${entityClass.simpleName} 不是有效的实体类,未标记所需的实体类注解")
|
||||
}
|
||||
|
||||
// 获取表名 - 优先从表名注解中获取,如果没有则使用类名转换
|
||||
try {
|
||||
if (mapper.tableName != null) {
|
||||
val tableNameMapping = mapper.tableName!!
|
||||
val annotation = entityClass.annotations.find {
|
||||
it.annotationClass.qualifiedName == tableNameMapping.annotationClass.qualifiedName
|
||||
}
|
||||
|
||||
if (annotation != null) {
|
||||
try {
|
||||
val method = annotation.javaClass.getMethod(tableNameMapping.propertyName)
|
||||
val tableName = method.invoke(annotation) as String
|
||||
|
||||
if (tableName.isNotEmpty()) {
|
||||
sqlInfo.tableName = tableName
|
||||
} else {
|
||||
// 使用类名转蛇形命名作为表名
|
||||
sqlInfo.tableName = toSnakeCase(entityClass.simpleName ?: "")
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 使用类名转蛇形命名作为表名
|
||||
sqlInfo.tableName = toSnakeCase(entityClass.simpleName ?: "")
|
||||
}
|
||||
} else {
|
||||
// 使用类名转蛇形命名作为表名
|
||||
sqlInfo.tableName = toSnakeCase(entityClass.simpleName ?: "")
|
||||
}
|
||||
} else {
|
||||
// 使用类名转蛇形命名作为表名
|
||||
sqlInfo.tableName = toSnakeCase(entityClass.simpleName ?: "")
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理实体类 ${entityClass.simpleName} 的表名时出错: ${e.message}", e)
|
||||
}
|
||||
|
||||
// 获取实体类的所有字段
|
||||
val fields = entityClass.java.declaredFields
|
||||
if (fields.isEmpty()) {
|
||||
throw IllegalArgumentException("实体类 ${entityClass.simpleName} 没有声明任何字段")
|
||||
}
|
||||
|
||||
// 创建已处理字段名集合,用于记录已经处理过的字段
|
||||
val processedFields = mutableSetOf<String>()
|
||||
|
||||
// 查找实体类中的@Transient注解类
|
||||
val transientAnnotationClasses = listOf(
|
||||
"kotlin.jvm.Transient",
|
||||
"javax.persistence.Transient",
|
||||
"jakarta.persistence.Transient",
|
||||
"java.beans.Transient",
|
||||
"org.aikrai.vertx.db.annotation.Transient"
|
||||
)
|
||||
|
||||
fields.forEach { field ->
|
||||
try {
|
||||
// 检查字段是否有@Transient注解,如果有则跳过
|
||||
val isTransient = field.annotations.any { annotation ->
|
||||
transientAnnotationClasses.any { className ->
|
||||
annotation.annotationClass.qualifiedName == className
|
||||
}
|
||||
}
|
||||
|
||||
if (isTransient) {
|
||||
return@forEach
|
||||
}
|
||||
|
||||
// 获取列信息
|
||||
val columnInfo = ColumnInfo()
|
||||
var foundColumnMapping = false
|
||||
|
||||
// 处理每个列映射 - 这部分处理带有特定注解的字段
|
||||
mapper.columnMappings.forEach { columnMapping ->
|
||||
val nameAnnotation = field.annotations.find {
|
||||
it.annotationClass.qualifiedName == columnMapping.nameMapping.annotationClass.qualifiedName
|
||||
}
|
||||
|
||||
if (nameAnnotation != null) {
|
||||
foundColumnMapping = true
|
||||
try {
|
||||
val nameMethod = nameAnnotation.javaClass.getMethod(columnMapping.nameMapping.propertyName)
|
||||
val columnName = nameMethod.invoke(nameAnnotation) as? String
|
||||
columnInfo.name = if (columnName.isNullOrEmpty()) toSnakeCase(field.name) else columnName
|
||||
|
||||
// 处理类型映射
|
||||
columnMapping.typeMapping?.let { typeMapping ->
|
||||
val typeAnnotation = field.annotations.find {
|
||||
it.annotationClass.qualifiedName == typeMapping.annotationClass.qualifiedName
|
||||
}
|
||||
if (typeAnnotation != null) {
|
||||
try {
|
||||
val typeMethod = typeAnnotation.javaClass.getMethod(typeMapping.propertyName)
|
||||
val typeName = typeMethod.invoke(typeAnnotation) as String
|
||||
columnInfo.type = if (typeName.isEmpty()) {
|
||||
inferSqlType(field.type, columnInfo, mapper)
|
||||
} else {
|
||||
typeName
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理字段 ${field.name} 的类型映射时出错: ${e.message}", e)
|
||||
}
|
||||
} else {
|
||||
columnInfo.type = inferSqlType(field.type, columnInfo, mapper)
|
||||
}
|
||||
} ?: {
|
||||
columnInfo.type = inferSqlType(field.type, columnInfo, mapper)
|
||||
}
|
||||
|
||||
// 处理可空映射
|
||||
columnMapping.nullableMapping?.let { nullableMapping ->
|
||||
val nullableAnnotation = field.annotations.find {
|
||||
it.annotationClass.qualifiedName == nullableMapping.annotationClass.qualifiedName
|
||||
}
|
||||
if (nullableAnnotation != null) {
|
||||
try {
|
||||
val nullableMethod = nullableAnnotation.javaClass.getMethod(nullableMapping.propertyName)
|
||||
columnInfo.nullable = nullableMethod.invoke(nullableAnnotation) as Boolean
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理字段 ${field.name} 的可空性映射时出错: ${e.message}", e)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 处理默认值映射
|
||||
columnMapping.defaultValueMapping?.let { defaultValueMapping ->
|
||||
val defaultValueAnnotation = field.annotations.find {
|
||||
it.annotationClass.qualifiedName == defaultValueMapping.annotationClass.qualifiedName
|
||||
}
|
||||
if (defaultValueAnnotation != null) {
|
||||
try {
|
||||
val defaultValueMethod = defaultValueAnnotation.javaClass.getMethod(defaultValueMapping.propertyName)
|
||||
columnInfo.defaultValue = defaultValueMethod.invoke(defaultValueAnnotation) as String
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理字段 ${field.name} 的默认值映射时出错: ${e.message}", e)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 处理长度映射
|
||||
columnMapping.lengthMapping?.let { lengthMapping ->
|
||||
val lengthAnnotation = field.annotations.find {
|
||||
it.annotationClass.qualifiedName == lengthMapping.annotationClass.qualifiedName
|
||||
}
|
||||
if (lengthAnnotation != null) {
|
||||
try {
|
||||
val lengthMethod = lengthAnnotation.javaClass.getMethod(lengthMapping.propertyName)
|
||||
val lengthValue = lengthMethod.invoke(lengthAnnotation)
|
||||
if (lengthValue is Int) {
|
||||
columnInfo.length = lengthValue
|
||||
// 如果是VARCHAR类型,更新类型定义中的长度
|
||||
if (columnInfo.type.startsWith("VARCHAR")) {
|
||||
columnInfo.type = "VARCHAR(${columnInfo.length})"
|
||||
}
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理字段 ${field.name} 的长度映射时出错: ${e.message}", e)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 处理唯一性映射
|
||||
columnMapping.uniqueMapping?.let { uniqueMapping ->
|
||||
val uniqueAnnotation = field.annotations.find {
|
||||
it.annotationClass.qualifiedName == uniqueMapping.annotationClass.qualifiedName
|
||||
}
|
||||
if (uniqueAnnotation != null) {
|
||||
try {
|
||||
val uniqueMethod = uniqueAnnotation.javaClass.getMethod(uniqueMapping.propertyName)
|
||||
val uniqueValue = uniqueMethod.invoke(uniqueAnnotation)
|
||||
if (uniqueValue is Boolean) {
|
||||
columnInfo.unique = uniqueValue
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理字段 ${field.name} 的唯一性映射时出错: ${e.message}", e)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
sqlInfo.columns.add(columnInfo)
|
||||
processedFields.add(field.name) // 记录已处理的字段
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理字段 ${field.name} 时出错: ${e.message}", e)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 处理主键
|
||||
if (mapper.primaryKeyMapping != null) {
|
||||
val pkMapping = mapper.primaryKeyMapping!!
|
||||
val pkAnnotation = field.annotations.find {
|
||||
it.annotationClass.qualifiedName == pkMapping.annotationClass.qualifiedName
|
||||
}
|
||||
if (pkAnnotation != null) {
|
||||
try {
|
||||
val pkMethod = pkAnnotation.javaClass.getMethod(pkMapping.propertyName)
|
||||
val isPk = pkMethod.invoke(pkAnnotation)
|
||||
if (isPk is Boolean && isPk) {
|
||||
// 如果字段还未处理,创建默认列信息
|
||||
if (!processedFields.contains(field.name)) {
|
||||
columnInfo.name = toSnakeCase(field.name)
|
||||
columnInfo.type = inferSqlType(field.type, columnInfo, mapper)
|
||||
columnInfo.isPrimaryKey = true
|
||||
sqlInfo.columns.add(columnInfo)
|
||||
sqlInfo.primaryKeys.add(columnInfo.name)
|
||||
processedFields.add(field.name)
|
||||
} else {
|
||||
// 如果已处理,找到对应列并标记为主键
|
||||
val column = sqlInfo.columns.find { it.name == toSnakeCase(field.name) || it.name == field.name }
|
||||
if (column != null) {
|
||||
column.isPrimaryKey = true
|
||||
if (!sqlInfo.primaryKeys.contains(column.name)) {
|
||||
sqlInfo.primaryKeys.add(column.name)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理字段 ${field.name} 的主键映射时出错: ${e.message}", e)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 如果字段未被处理,并且不是static或transient,添加默认处理
|
||||
if (!processedFields.contains(field.name) &&
|
||||
!java.lang.reflect.Modifier.isStatic(field.modifiers) &&
|
||||
!java.lang.reflect.Modifier.isTransient(field.modifiers)) {
|
||||
|
||||
// 检查字段类型是否可空
|
||||
val isNullable = isNullableType(field)
|
||||
|
||||
// 创建默认列信息
|
||||
val defaultColumnInfo = ColumnInfo(
|
||||
name = toSnakeCase(field.name),
|
||||
type = "", // 先不设置类型
|
||||
nullable = isNullable,
|
||||
defaultValue = "",
|
||||
isPrimaryKey = false
|
||||
)
|
||||
|
||||
// 设置类型并处理枚举值
|
||||
defaultColumnInfo.type = inferSqlType(field.type, defaultColumnInfo, mapper)
|
||||
|
||||
sqlInfo.columns.add(defaultColumnInfo)
|
||||
processedFields.add(field.name)
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
throw IllegalArgumentException("处理实体类 ${entityClass.simpleName} 的字段 ${field.name} 时出错: ${e.message}", e)
|
||||
}
|
||||
}
|
||||
|
||||
// 验证结果
|
||||
if (sqlInfo.tableName.isEmpty()) {
|
||||
throw IllegalArgumentException("实体类 ${entityClass.simpleName} 的表名为空,请检查表名注解")
|
||||
}
|
||||
|
||||
if (sqlInfo.columns.isEmpty()) {
|
||||
throw IllegalArgumentException("实体类 ${entityClass.simpleName} 没有可用的列信息,请检查列注解")
|
||||
}
|
||||
|
||||
// 处理表级别的索引注解
|
||||
processTableIndexes(entityClass, sqlInfo, mapper)
|
||||
|
||||
return sqlInfo
|
||||
}
|
||||
|
||||
/**
|
||||
* 验证类是否为实体类
|
||||
*/
|
||||
private fun validateEntityClass(entityClass: KClass<*>, mapper: SqlAnnotationMapper): Boolean {
|
||||
// 如果没有设置实体类映射,则认为所有类都是有效的实体类
|
||||
if (mapper.entityMapping == null) {
|
||||
return true
|
||||
}
|
||||
|
||||
val entityMapping = mapper.entityMapping!!
|
||||
return entityClass.annotations.any {
|
||||
it.annotationClass.qualifiedName == entityMapping.annotationClass.qualifiedName
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理表级别的索引注解
|
||||
*/
|
||||
private fun processTableIndexes(entityClass: KClass<*>, sqlInfo: SqlInfo, mapper: SqlAnnotationMapper) {
|
||||
// 只有当有indexMapping配置时才处理
|
||||
if (mapper.indexMapping == null) {
|
||||
return
|
||||
}
|
||||
|
||||
try {
|
||||
val indexMapping = mapper.indexMapping!!
|
||||
// 查找类上的所有TableIndex注解
|
||||
val tableIndexAnnotations = entityClass.annotations.filter {
|
||||
it.annotationClass.qualifiedName == indexMapping.annotationClass.qualifiedName
|
||||
}
|
||||
|
||||
// 处理每个TableIndex注解
|
||||
tableIndexAnnotations.forEach { annotation ->
|
||||
try {
|
||||
// 提取索引信息
|
||||
val indexInfo = IndexInfo()
|
||||
|
||||
// 获取索引名称
|
||||
val nameMethod = annotation.javaClass.getMethod("name")
|
||||
val indexName = nameMethod.invoke(annotation) as String
|
||||
indexInfo.name = if (indexName.isNotEmpty()) indexName else "idx_${sqlInfo.tableName}_${System.currentTimeMillis()}"
|
||||
|
||||
// 获取唯一性
|
||||
val uniqueMethod = annotation.javaClass.getMethod("unique")
|
||||
indexInfo.unique = uniqueMethod.invoke(annotation) as Boolean
|
||||
|
||||
// 获取并发创建选项
|
||||
val concurrentMethod = annotation.javaClass.getMethod("concurrent")
|
||||
indexInfo.concurrent = concurrentMethod.invoke(annotation) as Boolean
|
||||
|
||||
// 获取列名列表
|
||||
val columnNamesMethod = annotation.javaClass.getMethod("columnNames")
|
||||
val columnNames = columnNamesMethod.invoke(annotation) as Array<*>
|
||||
indexInfo.columnNames = columnNames.map { it.toString() }
|
||||
|
||||
// 获取自定义定义
|
||||
val definitionMethod = annotation.javaClass.getMethod("definition")
|
||||
val definition = definitionMethod.invoke(annotation) as String
|
||||
indexInfo.definition = definition
|
||||
|
||||
// 只有当至少有一个列名或自定义定义时才添加索引
|
||||
if (indexInfo.columnNames.isNotEmpty() || indexInfo.definition.isNotEmpty()) {
|
||||
sqlInfo.indexes.add(indexInfo)
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 处理单个索引注解失败时记录错误但继续处理其他索引
|
||||
println("处理索引注解时出错: ${e.message}")
|
||||
}
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 处理索引注解整体失败时记录错误
|
||||
println("处理表 ${sqlInfo.tableName} 的索引注解时出错: ${e.message}")
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 将驼峰命名转换为蛇形命名
|
||||
*/
|
||||
private fun toSnakeCase(camelCase: String): String {
|
||||
return camelCase.replace(Regex("([a-z])([A-Z])"), "$1_$2").toLowerCase()
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据Java类型推断SQL类型
|
||||
*/
|
||||
private fun inferSqlType(javaType: Class<*>, columnInfo: ColumnInfo? = null, mapper: SqlAnnotationMapper? = null): String {
|
||||
val sqlType = when {
|
||||
javaType == String::class.java -> {
|
||||
if (columnInfo != null) {
|
||||
"VARCHAR(${columnInfo.length})"
|
||||
} else {
|
||||
"VARCHAR(255)"
|
||||
}
|
||||
}
|
||||
javaType == Int::class.java || javaType == Integer::class.java -> "INTEGER"
|
||||
javaType == Long::class.java || javaType == java.lang.Long::class.java -> "BIGINT"
|
||||
javaType == Double::class.java || javaType == java.lang.Double::class.java -> "DOUBLE PRECISION"
|
||||
javaType == Float::class.java || javaType == java.lang.Float::class.java -> "REAL"
|
||||
javaType == Boolean::class.java || javaType == java.lang.Boolean::class.java -> "BOOLEAN"
|
||||
javaType == Char::class.java || javaType == Character::class.java -> "CHAR(1)"
|
||||
javaType == java.util.Date::class.java || javaType == java.sql.Date::class.java -> "DATE"
|
||||
javaType == java.sql.Timestamp::class.java -> "TIMESTAMPTZ"
|
||||
javaType == LocalDateTime::class.java -> "TIMESTAMPTZ"
|
||||
javaType == ByteArray::class.java -> "BYTEA"
|
||||
javaType.name.contains("Map") || javaType.name.contains("HashMap") -> "JSONB"
|
||||
javaType.name.contains("List") || javaType.name.contains("ArrayList") -> "JSONB"
|
||||
javaType.name.contains("Set") || javaType.name.contains("HashSet") -> "JSONB"
|
||||
javaType.name.endsWith("DTO") || javaType.name.endsWith("Dto") -> "JSONB"
|
||||
javaType.name.contains("Json") || javaType.name.contains("JSON") -> "JSONB"
|
||||
javaType.isEnum -> {
|
||||
// 处理枚举类型,提取枚举值并保存到columnInfo中
|
||||
if (columnInfo != null) {
|
||||
try {
|
||||
// 获取枚举类中的所有枚举常量
|
||||
val enumConstants = javaType.enumConstants
|
||||
if (enumConstants != null && enumConstants.isNotEmpty()) {
|
||||
// 查找带有EnumValue注解的方法
|
||||
val enumValues = if (mapper?.enumValueMapping != null) {
|
||||
val enumValueMethod = javaType.methods.find { method ->
|
||||
method.annotations.any {
|
||||
it.annotationClass.qualifiedName == mapper.enumValueMapping!!.annotationClass.qualifiedName
|
||||
}
|
||||
}
|
||||
if (enumValueMethod != null) {
|
||||
// 使用EnumValue标注的方法获取枚举值
|
||||
enumConstants.map { enumValueMethod.invoke(it).toString() }
|
||||
} else {
|
||||
// 如果没有找到EnumValue注解的方法,使用枚举名称
|
||||
enumConstants.map { (it as Enum<*>).name }
|
||||
}
|
||||
} else {
|
||||
// 默认使用枚举的toString()
|
||||
enumConstants.map { it.toString() }
|
||||
}
|
||||
columnInfo.enumValues = enumValues
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 忽略枚举值提取失败的情况
|
||||
println("提取枚举值失败: ${e.message}")
|
||||
}
|
||||
}
|
||||
"VARCHAR(50)"
|
||||
}
|
||||
else -> "VARCHAR(255)"
|
||||
}
|
||||
|
||||
return sqlType
|
||||
}
|
||||
|
||||
/**
|
||||
* 判断字段类型是否可空
|
||||
*/
|
||||
private fun isNullableType(field: java.lang.reflect.Field): Boolean {
|
||||
// 检查字段类型名称中是否包含Nullable标记
|
||||
val typeName = field.genericType.typeName
|
||||
|
||||
// 1. 先检查字段类型名是否包含"?",这是Kotlin可空类型的标志
|
||||
if (typeName.contains("?")) {
|
||||
return true
|
||||
}
|
||||
|
||||
// 2. 检查字段是否为Java原始类型,这些类型不可为空
|
||||
if (field.type.isPrimitive) {
|
||||
return false
|
||||
}
|
||||
|
||||
// 3. 通过Java反射获取字段的声明可空性
|
||||
try {
|
||||
// 检查是否有@Nullable相关注解
|
||||
val hasNullableAnnotation = field.annotations.any {
|
||||
val name = it.annotationClass.qualifiedName ?: ""
|
||||
name.contains("Nullable") || name.contains("nullable")
|
||||
}
|
||||
|
||||
if (hasNullableAnnotation) {
|
||||
return true
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 忽略注解检查错误
|
||||
}
|
||||
|
||||
// 4. 检查字段的类型并判断其可空性
|
||||
// Kotlin的String类型不可为空,而Java的String类型可为空
|
||||
if (field.type == String::class.java) {
|
||||
// 尝试通过字段的初始值判断
|
||||
try {
|
||||
field.isAccessible = true
|
||||
// 如果是非静态字段且初始值为null,则可能为可空类型
|
||||
if (!java.lang.reflect.Modifier.isStatic(field.modifiers)) {
|
||||
// 对于具有初始值的非静态字段,如果初始值为非null字符串,则认为是非可空类型
|
||||
// 如果字段名以OrNull或Optional结尾,认为是可空类型
|
||||
if (field.name.endsWith("OrNull") || field.name.endsWith("Optional")) {
|
||||
return true
|
||||
}
|
||||
|
||||
// 对于Kotlin中的非空String类型,如果有初始值"",则不可为空
|
||||
// 检查是否为Kotlin类型
|
||||
val isKotlinType = typeName.startsWith("kotlin.")
|
||||
if (isKotlinType) {
|
||||
return false // Kotlin中的String类型不可为空
|
||||
}
|
||||
}
|
||||
} catch (e: Exception) {
|
||||
// 忽略访问字段值的错误
|
||||
}
|
||||
}
|
||||
|
||||
// 5. 检查字段是否为其他Kotlin基本类型且非可空
|
||||
if (field.type == Int::class.java ||
|
||||
field.type == Long::class.java ||
|
||||
field.type == Boolean::class.java ||
|
||||
field.type == Float::class.java ||
|
||||
field.type == Double::class.java ||
|
||||
field.type == Char::class.java ||
|
||||
field.type == Byte::class.java ||
|
||||
field.type == Short::class.java) {
|
||||
// Kotlin基本类型不带?就不可为空
|
||||
return false
|
||||
}
|
||||
|
||||
// 6. 默认情况: 引用类型默认认为是可空的
|
||||
return true
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -55,6 +55,12 @@ class SqlGenerator {
|
||||
|
||||
sb.append(columnDefinitions.joinToString(",\n"))
|
||||
|
||||
// 添加唯一约束
|
||||
val uniqueColumns = columns.filter { it.unique && !it.isPrimaryKey }
|
||||
for (column in uniqueColumns) {
|
||||
sb.append(",\n CONSTRAINT uk_${tableName}_${column.name} UNIQUE (${column.name})")
|
||||
}
|
||||
|
||||
// 添加枚举约束 - 识别枚举类型的列并添加CHECK约束
|
||||
val enumColumns = columns.filter { it.type.contains("VARCHAR") && it.enumValues != null && it.enumValues!!.isNotEmpty() }
|
||||
for (column in enumColumns) {
|
||||
@ -71,6 +77,53 @@ class SqlGenerator {
|
||||
}
|
||||
|
||||
sb.append("\n);")
|
||||
|
||||
// 添加索引创建语句
|
||||
val indexSql = generateCreateIndexSql(sqlInfo)
|
||||
if (indexSql.isNotEmpty()) {
|
||||
sb.append("\n\n")
|
||||
sb.append(indexSql)
|
||||
}
|
||||
|
||||
return sb.toString()
|
||||
}
|
||||
|
||||
/**
|
||||
* 生成创建索引的SQL语句
|
||||
* @param sqlInfo SQL信息
|
||||
* @return 创建索引SQL语句
|
||||
*/
|
||||
private fun generateCreateIndexSql(sqlInfo: SqlInfo): String {
|
||||
val sb = StringBuilder()
|
||||
|
||||
sqlInfo.indexes.forEach { index ->
|
||||
if (index.columnNames.isNotEmpty() || index.definition.isNotEmpty()) {
|
||||
sb.append("CREATE ")
|
||||
|
||||
if (index.unique) {
|
||||
sb.append("UNIQUE ")
|
||||
}
|
||||
|
||||
sb.append("INDEX ")
|
||||
|
||||
if (index.concurrent) {
|
||||
sb.append("CONCURRENTLY ")
|
||||
}
|
||||
|
||||
sb.append("${index.name} ON ${sqlInfo.tableName}")
|
||||
|
||||
if (index.definition.isNotEmpty()) {
|
||||
// 使用自定义索引定义
|
||||
sb.append(" ${index.definition}")
|
||||
} else {
|
||||
// 使用列名列表
|
||||
sb.append(" (${index.columnNames.joinToString(", ")})")
|
||||
}
|
||||
|
||||
sb.append(";\n")
|
||||
}
|
||||
}
|
||||
|
||||
return sb.toString()
|
||||
}
|
||||
|
||||
|
||||
@ -0,0 +1,37 @@
|
||||
package org.aikrai.vertx.db.migration
|
||||
|
||||
/**
|
||||
* SQL信息类
|
||||
* 存储从实体类中提取的SQL相关信息
|
||||
*/
|
||||
data class SqlInfo(
|
||||
var tableName: String = "",
|
||||
val columns: MutableList<ColumnInfo> = mutableListOf(),
|
||||
val primaryKeys: MutableList<String> = mutableListOf(),
|
||||
val indexes: MutableList<IndexInfo> = mutableListOf()
|
||||
)
|
||||
|
||||
/**
|
||||
* 列信息类
|
||||
*/
|
||||
data class ColumnInfo(
|
||||
var name: String = "",
|
||||
var type: String = "",
|
||||
var nullable: Boolean = true,
|
||||
var defaultValue: String = "",
|
||||
var isPrimaryKey: Boolean = false,
|
||||
var enumValues: List<String>? = null,
|
||||
var unique: Boolean = false,
|
||||
var length: Int = 255
|
||||
)
|
||||
|
||||
/**
|
||||
* 索引信息类
|
||||
*/
|
||||
data class IndexInfo(
|
||||
var name: String = "",
|
||||
var columnNames: List<String> = listOf(),
|
||||
var unique: Boolean = false,
|
||||
var concurrent: Boolean = false,
|
||||
var definition: String = ""
|
||||
)
|
||||
Loading…
x
Reference in New Issue
Block a user