发布原因
有许多不同的解决方案＆amp;关于如何构建适当的网络层的示例，但每个应用程序都有不同的约束，并且基于权衡取决于设计决策，让我不确定我编写的代码的质量。如果我的代码中存在任何Anti-Patterns，redundancies或不完整的错误解决方案，我忽略了或者只是缺乏要解决的知识，请做批评。这是一个我想添加到我的投资组合中的项目，所以我在这里发布它以了解它，并提供一些建议/提示。
感谢您提前的时间！
我认为我的网络层的一些特征可能引起人们的注意：
Method包含GETALL个案例，用于指示必须提取的数据列表。我没有在我读过的任何开源代码中看到过这个。这是代码味吗？
enum Method {
case GET
/// Indicates how JSON response should be handled differently to abastract a list of entities
case GETALL
case PUT
case DELETE
}
我已经做到了，所以每个Swift实体都符合JSONable协议，这意味着它可以用json初始化并转换为json。
protocol JSONable {
init?(json: [String: AnyObject])
func toJSON() -> Data?
}
JSONable在实践中使用我的一个实体：
struct User {
var id: String
var name: String
var location: String
var rating: Double
var keywords: NSArray
var profileImageUrl: String
}
extension User: JSONable {
init?(json: [String : AnyObject]) {
guard let id = json[Constant.id] as? String, let name = json[Constant.name] as? String, let location = json[Constant.location] as? String, let rating = json[Constant.rating] as? Double, let keywords = json[Constant.keywords] as? NSArray, let profileImageUrl = json[Constant.profileImageUrl] as? String else {
return nil
}
self.init(id: id, name: name, location: location, rating: rating, keywords: keywords, profileImageUrl: profileImageUrl)
}
func toJSON() -> Data? {
let data: [String: Any] = [Constant.id: id, Constant.name: name, Constant.location: location, Constant.rating: rating, Constant.keywords: keywords, Constant.profileImageUrl: profileImageUrl]
let jsonData = try? JSONSerialization.data(withJSONObject: data, options: [])
return jsonData
}
}
这使我可以在检索JSON响应后使用generics初始化我的客户端中的所有实体 - FirebaseAPI。我也没有在我读过的代码中看到过这种技术。
在下面的代码中，请注意如何实现GETALL以展平JSON对象列表。我应该这么做吗？有没有更好的方法来处理任何类型的Json结构响应？
AND 实体一般初始化，并以Observable（使用RxSwift）返回。
你感觉到任何代码味道？
/// Responsible for Making actual API requests & Handling response
/// Returns an observable object that conforms to JSONable protocol.
/// Entities that confrom to JSONable just means they can be initialized with json & transformed from swift to JSON.
func rx_fireRequest<Entity: JSONable>(_ endpoint: FirebaseEndpoint, ofType _: Entity.Type ) -> Observable<[Entity]> {
return Observable.create { [weak self] observer in
self?.session.dataTask(with: endpoint.request, completionHandler: { (data, response, error) in
/// Parse response from request.
let parsedResponse = Parser(data: data, response: response, error: error)
.parse()
switch parsedResponse {
case .error(let error):
observer.onError(error)
return
case .success(let data):
var entities = [Entity]()
switch endpoint.method {
/// Flatten JSON strucuture to retrieve a list of entities.
/// Denoted by 'GETALL' method.
case .GETALL:
/// Key (underscored) is unique identifier for each entity
/// value is k/v pairs of entity attributes.
for (_, value) in data {
if let value = value as? [String: AnyObject], let entity = Entity(json: value) {
entities.append(entity)
}
}
/// Force downcast for generic type inference.
observer.onNext(entities as! [Entity])
//observer.onCompleted()
/// All other methods return JSON that can be used to initialize JSONable entities
default:
if let entity = Entity(json: data) {
observer.onNext([entity] as! [Entity])
//observer.onCompleted()
} else {
observer.onError(NetworkError.initializationFailure)
}
}
}
}).resume()
return Disposables.create()
}
}
}
我像这样管理不同的端点：
enum FirebaseEndpoint {
case saveUser(data: [String: AnyObject])
case fetchUser(id: String)
case removeUser(id: String)
case saveItem(data: [String: AnyObject])
case fetchItem(id: String)
case fetchItems
case removeItem(id: String)
case saveMessage(data: [String: AnyObject])
case fetchMessages(chatroomId: String)
case removeMessage(id: String)
}
extension FirebaseEndpoint: Endpoint {
var base: String {
// Add this as a constant to APP Secrts struct & dont include secrets file when pushed to github.
return "https://AppName.firebaseio.com"
}
var path: String {
switch self {
case .saveUser(let data): return "/\(Constant.users)/\(data[Constant.id])"
case .fetchUser(let id): return "/\(Constant.users)/\(id)"
case .removeUser(let id): return "/\(Constant.users)/\(id)"
case .saveItem(let data): return "/\(Constant.items)/\(data[Constant.id])"
case .fetchItem(let id): return "/\(Constant.items)/\(id)"
case .fetchItems: return "/\(Constant.items)"
case .removeItem(let id): return "/\(Constant.items)/\(id)"
case .saveMessage(let data): return "/\(Constant.messages)/\(data[Constant.id])"
case .fetchMessages(let chatroomId): return "\(Constant.messages)/\(chatroomId)"
case .removeMessage(let id): return "/\(Constant.messages)/\(id)"
}
}
var method: Method {
switch self {
case .fetchUser, .fetchItem: return .GET
case .fetchItems, .fetchMessages: return .GETALL
case .saveUser, .saveItem, .saveMessage: return .PUT
case .removeUser, .removeItem, .removeMessage: return .DELETE
}
}
var body: [String : AnyObject]? {
switch self {
case .saveItem(let data), .saveUser(let data), .saveMessage(let data): return data
default: return nil
}
}
}
最后，我希望有专业人士看一眼，我是如何使用MVVM的。我从视图模型中发出所有网络请求，看起来像这样：
struct SearchViewModel {
// Outputs
var collectionItems: Observable<[Item]>
var error: Observable<Error>
init(controlValue: Observable<Int>, api: FirebaseAPI, user: User) {
let serverItems = controlValue
.map { ItemCategory(rawValue: $0) }
.filter { $0 != nil }.map { $0! }
.flatMap { api.rx_fetchItems(for: user, category: $0)
.materialize()
}
.filter { !$0.isCompleted }
.shareReplayLatestWhileConnected()
collectionItems = serverItems.filter { $0.element != nil }.dematerialize()
error = serverItems.filter { $0.error != nil }.map { $0.error! }
}
}
为了以更具表现力，形式化的方式调用api请求，我可以在api.rx_fetchItems(for:)上方flatmap内拨打extend，因为我FirebaseAPI FetchItemsAPI符合extension FirebaseAPI: FetchItemsAPI {
// MARK: Fetch Items Protocol
func rx_fetchItems(for user: User, category: ItemCategory) -> Observable<[Item]> {
// fetched items returns all items in database as Observable<[Item]>
let fetchedItems = rx_fireRequest(.fetchItems, ofType: Item.self)
switch category {
case .Local:
let localItems = fetchedItems
.flatMapLatest { (itemList) -> Observable<[Item]> in
return self.rx_localItems(user: user, items: itemList)
}
return localItems
case .RecentlyAdded:
// Compare current date to creation date of item. If its within 24 hours, It makes the cut.
let recentlyAddedItems = fetchedItems
.flatMapLatest { (itemList) -> Observable<[Item]> in
return self.rx_recentlyAddedItems(items: itemList)
}
return recentlyAddedItems
case .Trending:
let trendingItems = fetchedItems
.flatMapLatest { (itemList) -> Observable<[Item]> in
return self.rx_trendingItems(items: itemList)
}
return trendingItems
default:
let stubItem = Item(id: "DEFAULT", createdById: "createdBy", creationDate: 1.3, expirationDate: 2.4, title: "title", price: 2, info: "info", imageUrl: "url", bidCount: 4, location: "LA")
return Observable.just([stubItem])
}
}
// MARK: Helper Methods
private func rx_localItems(user: User, items: [Item]) -> Observable<[Item]> {
return Observable<[Item]>.create { observer in
observer.onNext(items.filter { $0.location == user.location }) // LA Matches stubs in db
return Disposables.create()
}
}
func rx_recentlyAddedItems(items: [Item]) -> Observable<[Item]> {
return Observable<[Item]>.create { observer in
let recentItems = items
.filter {
let now = Date(timeIntervalSinceReferenceDate: 0)
let creationDate = Date(timeIntervalSince1970: $0.creationDate)
if let hoursAgo = now.offset(from: creationDate, units: [.hour], maxUnits: 1) {
return Int(hoursAgo)! < 24
} else {
return false
}
}
observer.onNext(recentItems)
return Disposables.create()
}
}
func rx_trendingItems(items: [Item]) -> Observable<[Item]> {
return Observable<[Item]>.create { observer in
observer.onNext(items.filter { $0.bidCount > 8 })
return Disposables.create()
}
}
}
。对于大多数其他请求，我可能必须遵循相同的模式。
android:layout_alignParentBottom="true"
我正在尝试遵循SOLID原则，并使用RxSWift + MVVM升级，因此我仍然不确定最佳的OOP设计是否适用于干净，可维护的代码。