IDEA下生成SpringDataJPA的Java实体

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IDEA下生成SpringDataJPA的Java实体

最近在研究SpringDataJPA，首先的第一步当然是需要知道怎么快速的生成对应的Java实体，Google上看到的大部分都是使用Eclipse进行生成，下面记录下IDEA的生成方式，比较简单。

IDEA操作流程

idea-jpa-generate.png

  1. Idea中选择Database，如果没有则需要自己新增一个。
  2. 连接需要生成的数据库。
  3. 写入生成的脚本信息。
  4. 直接生成。

可以按照自己的需求来对下面的脚本配置信息进行修改。

配置信息

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import com.intellij.database.model.DasTable
import com.intellij.database.model.ObjectKind
import com.intellij.database.util.Case
import com.intellij.database.util.DasUtil

/*
 * Available context bindings:
 *   SELECTION   Iterable<DasObject>
 *   PROJECT     project
 *   FILES       files helper
 */
//修改为你的实体类的包名
packageName = "com.yanzhenyidai.squid.miniprogram.entity;"
typeMapping = [
        (~/(?i)int/)                      : "Long",
        (~/(?i)float|double|decimal|real/): "Double",
        (~/(?i)bool|boolean/)             : "Boolean",
        (~/(?i)datetime|timestamp/)       : "java.util.Date",
        (~/(?i)date/)                     : "java.sql.Date",
        (~/(?i)time/)                     : "java.sql.Time",
        (~/(?i)/)                         : "String"
]

FILES.chooseDirectoryAndSave("Choose directory", "Choose where to store generated files") { dir ->
  SELECTION.filter { it instanceof DasTable && it.getKind() == ObjectKind.TABLE }.each { generate(it, dir) }
}

def generate(table, dir) {
  def className = javaName(table.getName(), true)
  def fields = calcFields(table)
  new File(dir, className + ".java").withPrintWriter { out -> generate(out, table, className, fields) }
}

def generate(out, table, className, fields) {
  def tableName = table.getName()
  out.println "package $packageName"
  out.println ""
  out.println "import lombok.Data;"
  out.println ""
  out.println "import javax.persistence.*;"
  out.println "import java.io.Serializable;"
  out.println ""
  out.println "@Data"
  out.println "@Entity"
  out.println "@Table(name = \"$tableName\")"
  out.println "public class $className  implements Serializable {"
  out.println ""
  // 判断自增
  if ((tableName + "_id").equalsIgnoreCase(fields[0].colum) || "id".equalsIgnoreCase(fields[0].colum)) {
    out.println "\[email protected]"
    out.println "\[email protected](strategy=GenerationType.IDENTITY)"
  }
  fields.each() {
    if (it.annos != "") out.println "  ${it.annos}"
    if (it.colum != it.name) {
      out.println "\[email protected](name = \"${it.colum}\")"
    }
    out.println "\tprivate ${it.type} ${it.name};"
    out.println ""
  }
  out.println "}"
}

def calcFields(table) {
  DasUtil.getColumns(table).reduce([]) { fields, col ->
    def spec = Case.LOWER.apply(col.getDataType().getSpecification())
    def typeStr = typeMapping.find { p, t -> p.matcher(spec).find() }.value
    fields += [[
                       name : javaName(col.getName(), false),
                       colum: col.getName(),
                       type : typeStr,
                       annos: ""]]
  }
}

def javaName(str, capitalize) {
  def s = str.split(/(?<=[^\p{IsLetter}])/).collect { Case.LOWER.apply(it).capitalize() }
          .join("").replaceAll(/[^\p{javaJavaIdentifierPart}]/, "_").replaceAll(/_/, "")
  capitalize || s.length() == 1 ? s : Case.LOWER.apply(s[0]) + s[1..-1]
}