参考:
Json 序列化是将一个对象,转换成Json形式的字符串;反序列化是将json格式字符串转成相应的对象;
1. 分析
如下:代码
// 数据类
data class Person(val name: String, val age: Int, val likes: List<String>)
// 测试代码
val p = Person("better", 30, listOf("Java", "Kotlin", "Python"))
println(serialize(p))
{"age": 30, "likes": ["Java", "Kotlin", "Python"], "name": "better"}
将类的每个属性作为 json 的 key,value 为 key 对象的值,如果value 为 List 形式,即对应json的数组形式[]
;
我们可通过反射获取类的所有属性,然后遍历,分别将每个属性,映射成json对应的 key 、value;
2. kotlin 代码实现
会有大量字符串拼接,所以为StringBuilder
添加扩展函数来整体拼接
整体步骤:
获取类的所有KProperty
;
遍历 KProperty
集合,获取每个 KProperty
;
每个KProperty
都有他的名字与值,对应json的 key,value,value 处理时,需进行类型判断;
// 对外全局方法
fun serialize(obj: Any) = buildString { serializeObj(obj) }
private inline fun StringBuilder.serializeObj(o: Any) {
// ==== 1. 获取类的所有`KProperty`
o.javaClass.kotlin.memberProperties.joinToStringBuilder(this, separator = ",", prefix = "{", postfix = "}") {
// ==== 2.遍历 `KProperty` 集合,获取每个 `KProperty`,进行类型判断,并处理;
serializeProperty(it, o)
private inline fun StringBuilder.serializeProperty(property: KProperty1<Any, *>, receiver: Any) {
// ====3. 每个`KProperty`都有他的名字与值,对应json的 key,value,value 处理时,需进行类型判断;
val key = property.name
// 处理key
serializeString(key)
append(": ")
// 处理value
val value = property.get(receiver)
serializePropertyValue(value)
// 处理属性值
private fun StringBuilder.serializePropertyValue(value: Any?) {
when (value) {
null -> append("null")
is String -> serializeString(value)
is Boolean, is Number -> append(value.toString())
is List<*> -> serializeList(value)
else -> serializeObj(value)
* 处理list
private fun StringBuilder.serializeList(data: List<Any?>) {
data.joinToStringBuilder(this, separator = ", " ,prefix = "[", postfix = "]") {
serializePropertyValue(it)
// 属性名称
private inline fun StringBuilder.serializeString(name: String) {
// like "better"
append('\"').append("$name").append('\"')
// 这里对joinToString 进行了改写,使其支持 ((T) -> Unit)
fun <T> Iterable<T>.joinToStringBuilder(sb: StringBuilder, separator: CharSequence = ", ",
prefix: CharSequence = "",
postfix: CharSequence = "",
limit: Int = -1,
truncated: CharSequence = "...",
transform: ((T) -> Unit)? = null): StringBuilder {
return joinTo(sb, separator, prefix, postfix, limit, truncated) {
if (transform == null) { // 包装器模式
return@joinTo it.toString()
transform.invoke(it)
3. 测试1 :
// 数据类
data class Person(val name: String, val age: Int, val likes: List<String>)
// 测试代码
val p = Person("better", 30, listOf("Java", "Kotlin", "Python"))
println(serialize(p)) // 没问题
4. 测试2 ,新增类
data class County(val name: String, val peopleCount: Int)
data class City(val name: String, val counties: List<County>)
data class Province(val name: String, val size: Int, val cities: List<City>?)
val c1 = County("湘潭县", 20_000)
val c2 = County("株洲县", 30_000)
val c4 = County("攸县", 40_000)
val ci1 = City("湘潭市", listOf(c1))
val ci2 = City("株洲市", listOf(c2, c4))
val p1 = Province("湖南省", 780, listOf(ci1, ci2))
println(serialize(p1))
格式化为:
"cities": [{
"counties": [{
"name": "湘潭县",
"peopleCount": 20000
"name": "湘潭市"
"counties": [{
"name": "株洲县",
"peopleCount": 30000
"name": "攸县",
"peopleCount": 40000
"name": "株洲市"