/Validator

practice for create eazy validator.

Primary LanguageKotlin

Validator

Just for pratice~

Version: v0.1.0

Update Note:

登入邏輯模擬

  • Encapsulation: 登入商業邏輯封裝
  • Add: Login test case. (com.nacro.validator.test.TestLoginValidate.kt)

Injection

  • new feature: 自動匹配 model進行驗證. com.nacro.validator.injection.DataValidatorInjection.kt
  • Test case: login data validate. (com.nacro.validator.test.TestLoginData.kt)

用法:

假設LoginData model 如下

data class LoginData(val account: String, val password: String)
  1. 創建 class, 寫下對驗證函式. 並在對應的該函式, 使用@ValidateField("欲驗證的 model 變數名稱") ex:
class LoginValidator {
// 帳號邏輯：
// - 非空
// - email
    @ValidateField("account") // 對應LoginData 裡的account
    fun accountChecker(account: String) = check(account) {
        constraint(
            checkAll = true,
            conditions = arrayOf(
                alertNonEmpty(),
                validEmailFormat()
            )
        )
    }
// 密碼邏輯:
// - 非空
// - 長度 8 ~ 16
// - 中英混合
// - 不能有空白, $%^&等特殊符號
    @ValidateField("password") // 對應LoginData 裡的password
    fun passwordChecker(password: String) = check(password) {
        constraint(
            checkAll = true,
            conditions = arrayOf(
                alertNonEmpty(),
                validSize(8..16),
                wordAndDigitOnly()
            )
        )
    }

}
  1. 進行驗證
fun testLoginData1(validator: LoginValidator) {
    val data = LoginData("wdwfe@asc.com", "711092")
    val results = DataValidatorInjection.inject(data, validator)
    results.forEach { entry ->
        println("name: ${entry.key}, error msg: [\n${entry.value.message}\n]")
    }
}