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upload more userdata to firebase database and firebase storage, based…
… on the current users and the time uploaded
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VisualEyes.xcworkspace/xcuserdata/alexzhang.xcuserdatad/UserInterfaceState.xcuserstate
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,22 @@ | ||
| // | ||
| // StorageReference.swift | ||
| // VisualEyes | ||
| // | ||
| // Created by Alex Zhang on 2019-02-10. | ||
| // Copyright © 2019 Alex Zhang. All rights reserved. | ||
| // | ||
|
|
||
| import Foundation | ||
| import FirebaseStorage | ||
|
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| // generate a new location for each new post image that is created by the current ISO timestamp. | ||
| extension StorageReference { | ||
| static let dateFormatter = ISO8601DateFormatter() | ||
|
|
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| static func newPostImageReference() -> StorageReference { | ||
| let uid = User.current.uid | ||
| let timestamp = dateFormatter.string(from: Date()) | ||
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| return Storage.storage().reference().child("images/posts/\(uid)/\(timestamp).jpg") | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,20 @@ | ||
| // | ||
| // UIImage+Size.swift | ||
| // VisualEyes | ||
| // | ||
| // Created by Alex Zhang on 2019-02-10. | ||
| // Copyright © 2019 Alex Zhang. All rights reserved. | ||
| // | ||
| import UIKit | ||
|
|
||
| extension UIImage { | ||
|
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| //aspect height calculated base on the width and height of the device | ||
| //currently ipad pro 11 | ||
| var aspectHeight: CGFloat { | ||
| let heightRatio = size.height / 1112 | ||
| let widthRatio = size.width / 834 | ||
| let aspectRatio = fmax(heightRatio, widthRatio) | ||
| return size.height / aspectRatio | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| // | ||
| // AzureCognitiveService.swift | ||
| // VisualEyes | ||
| // | ||
| // Created by Alex Zhang on 2019-02-10. | ||
| // Copyright © 2019 Alex Zhang. All rights reserved. | ||
| // | ||
| // class for sending or receving data from / to Microsoft Azure Cognitive Service API | ||
|
|
||
| import Foundation | ||
| import Alamofire | ||
| import SwiftyJSON | ||
|
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| class AzureCognitiveService { | ||
|
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| //let azureURL: String = Constants.Azure.AZUREURL | ||
| //let azureSubscriptionKey: String = Constants.Azure.SUBSCRIPTIONKEY | ||
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| static func azureFaceAnalysis (facePicsUrl: URL?, completion: @escaping (JSON?) -> Void) { | ||
| let headers: HTTPHeaders = [ | ||
| "Content-Type" : "application/json", | ||
| "Ocp-Apim-Subscription-Key": Constants.Azure.SUBSCRIPTIONKEY, | ||
| ] | ||
| print(facePicsUrl?.absoluteString) | ||
| //some parameters included in Constants.Azure.AZUREURL | ||
| let parameters: Parameters = [ | ||
| // "returnFaceId":true, | ||
| // "returnFaceLandmarks": false, | ||
| // "returnFaceAttributes": "age, gender, emotion, hair, makeup, occlusion, accessories, blur", | ||
| "url" : facePicsUrl?.absoluteString | ||
| ] | ||
|
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| Alamofire.request(Constants.Azure.AZUREURL, method: .post, parameters: parameters, encoding: JSONEncoding.default, headers: headers).responseJSON { response in | ||
| if response.result.isSuccess { | ||
| print("successfully get JSON data!") | ||
| let jso: JSON = JSON(response.result.value!) | ||
| //json from azure is returned! | ||
| return completion(jso) | ||
|
|
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| //self.updateUserData(json: jso) | ||
| }else{ | ||
| print("fail to get JSON response!") | ||
| return completion(nil) | ||
| //DispatchQueue.main.async { | ||
| // self.navigationItem.title = "Fail to get image infomation" | ||
| //} | ||
| } | ||
| } | ||
| } | ||
| } |
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