ios - Alamofire 序列化太慢

Question

出于某种原因，我的序列化时间真的很长。我正在使用 Alamofire 和 ObjectMapper 来处理请求响应并将数据反序列化为对象。

这是我发送的请求:

Alamofire.request(Constants.apiRequests.paloozas, method: .get, parameters: params, headers: HeaderManager.sharedInstance.authHeader!).validate().responseObject { (response: DataResponse<PaginatedPaloozas>)
    // handle response
}

这是 PaginatedPaloozas 对象:

struct PaginatedPaloozas: Mappable {

    var meta: PageMetaData?
    var paloozas: [Palooza]?

    init?(map: Map) { }

    mutating func mapping(map: Map) {
        self.meta <- map[Constants.PaginatedPaloozas.meta]
        self.paloozas <- map[Constants.PaginatedPaloozas.paloozas]
    }

}

这是我的 Palooza 对象:

struct Palooza: Mappable {

var id: Int!
var startingLocation: Place!
var endingLocation: Place!
var startTime: Date!
var endTime: Date?
var note: String?
var perPersonPrice: String!
var seats: Int!
var chat: String?
var completedAt: Date?
var numSeatsAvailable: Int!
var distance: Float?
var bookingFee: String!
var totalPrice: String!
var status: PaloozaStatus!
var code: String?
var involvement: Involvement!
var bookings: [Booking]?
var owner: Owner?

enum PaloozaStatus: String {
    case pending = "pending"
    case inProgress = "in_progress"
    case cancelled = "cancelled"
    case completed = "completed"
}

enum Involvement: String {
    case owner = "owner"
    case presenter = "presenter"
    case none = "none"
}

init?(map: Map) { }

mutating func mapping(map: Map) {
    self.id <- map[Constants.Palooza.id]
    self.startingLocation <- map[Constants.Palooza.startingLocation]
    self.endingLocation <- map[Constants.Palooza.endingLocation]
    self.startTime <- (map[Constants.Palooza.startTime], CustomDateTransform())
    self.endTime <- (map[Constants.Palooza.returnTime], CustomDateTransform())
    self.note <- map[Constants.Palooza.note]
    self.perPersonPrice <- map[Constants.Palooza.perPersonPrice]
    self.seats <- map[Constants.Palooza.seats]
    self.chat <- map[Constants.Palooza.chat]
    self.completedAt <- (map[Constants.Palooza.completedAt], CustomDateTransform())
    self.numSeatsAvailable <- map[Constants.Palooza.numSeatsAvailable]
    self.distance <- map[Constants.Palooza.distance]
    self.bookingFee <- map[Constants.Palooza.bookingFee]
    self.totalPrice <- map[Constants.Palooza.totalPrice]
    self.status <- (map[Constants.Palooza.status], EnumTransform<PaloozaStatus>())
    self.code <- map[Constants.Palooza.code]
    self.involvement <- (map[Constants.Palooza.involvement], EnumTransform<Involvement>())
    self.bookings <- map[Constants.Palooza.bookings]
    self.owner <- map[Constants.Palooza.owner]
}

}

我只有 5 个 paloozas，序列化需要 10 秒。我尝试在 Alamofire 请求中使用不同的队列，但没有任何区别。请帮我加快这个过程。

Answer 1

事实证明我正在减慢序列化过程，因为我试图在此过程中从 URL 获取 UIImage。我希望这能帮助像我一样犯了愚蠢错误的其他人哈哈。