【KakaJSON手册】07_Coding_归档_解档
KakaJSON可以只用
一行代码
将常用数据进行归档\解档
- 后面代码中会用到 file 文件路径
// 文件路径(String或者URL都可以)
let file = "/Users/mj/Desktop/test.data"
String
let string1 = "123"
// 将字符串写入文件
write(string1, to: file)
// 从文件中读取字符串
let string2 = read(String.self, from: file)
XCTAssert(string2 == string1)
// 从文件中读取Int
XCTAssert(read(Int.self, from: file) == 123)
Date
let date1 = Date(timeIntervalSince1970: 1565922866)
// 将Date写入文件
write(date1, to: file)
// 从文件中读取Date
let date2 = read(Date.self, from: file)
XCTAssert(date2 == date1)
// 从文件中读取Int
XCTAssert(read(Int.self, from: file) == 1565922866)
Array
let array1 = ["Jack", "Rose"]
// 将数组写入文件
write(array1, to: file)
// 从文件中读取数组
let array2 = read([String].self, from: file)
XCTAssert(array2 == array1)
// 同样支持Set、Dictionary等
Model
struct Book: Convertible {
var name: String = ""
var price: Double = 0.0
}
struct Car: Convertible {
var name: String = ""
var price: Double = 0.0
}
struct Dog: Convertible {
var name: String = ""
var age: Int = 0
}
struct Person: Convertible {
var name: String = "Jack"
var car: Car? = Car(name: "Bently", price: 106.666)
var books: [Book]? = [
Book(name: "Fast C++", price: 666.6),
Book(name: "Data Structure And Algorithm", price: 666.6),
]
var dogs: [String: Dog]? = [
"dog0": Dog(name: "Wang", age: 5),
"dog1": Dog(name: "ErHa", age: 3),
]
}
// 将模型写入文件
write(Person(), to: file)
// 从文件中读取模型
let person = read(Person.self, from: file)
XCTAssert(person?.name == "Jack")
XCTAssert(person?.car?.name == "Bently")
XCTAssert(person?.car?.price == 106.666)
XCTAssert(person?.books?.count == 2)
XCTAssert(person?.dogs?.count == 2)
Model Array
struct Car: Convertible {
var name: String = ""
var price: Double = 0.0
}
let models1 = [
Car(name: "BMW", price: 100.0),
Car(name: "Audi", price: 70.0)
]
// 将模型数组写入文件
write(models1, to: file)
// 从文件中读取模型数组
let models2 = read([Car].self, from: file)
XCTAssert(models2?.count == models1.count)
XCTAssert(models2?[0].name == "BMW")
XCTAssert(models2?[0].price == 100.0)
XCTAssert(models2?[1].name == "Audi")
XCTAssert(models2?[1].price == 70.0)
Model Set
struct Car: Convertible, Hashable {
var name: String = ""
var price: Double = 0.0
}
let models1: Set<Car> = [
Car(name: "BMW", price: 100.0),
Car(name: "Audi", price: 70.0)
]
// 将模型Set写入文件
write(models1, to: file)
// 从文件中读取模型Set
let models2 = read(Set<Car>.self, from: file)!
XCTAssert(models2.count == models1.count)
for car in models2 {
XCTAssert(["BMW", "Audi"].contains(car.name))
XCTAssert([100.0, 70.0].contains(car.price))
}
Model Dictionary
struct Car: Convertible {
var name: String = ""
var price: Double = 0.0
}
let models1 = [
"car0": Car(name: "BMW", price: 100.0),
"car1": Car(name: "Audi", price: 70.0)
]
// 将模型字典写入文件
write(models1, to: file)
// 从文件中读取模型字典
let models2 = read([String: Car].self, from: file)
XCTAssert(models2?.count == models1.count)
let car0 = models2?["car0"]
XCTAssert(car0?.name == "BMW")
XCTAssert(car0?.price == 100.0)
let car1 = models2?["car1"]
XCTAssert(car1?.name == "Audi")
XCTAssert(car1?.price == 70.0)