使用场景文本识别API与SAP Leonardo沙箱服务器连接时出现HTTP 400错误
SAP在较早版本的swift中提供样板代码。我已经使用curl命令和API并可以工作。但是，当我尝试将代码转换为Swift 4.2版本时，它不起作用。我附上下面的代码。
func connectWithSAP(photoURL : URL, photoData : String, sentImageData : Data){
if let myNewURL = URL(string: "https://sandbox.api.sap.com/ml/scenetextrecognition/scene-text-recognition") {
var myRequest = URLRequest(url: myNewURL)
myRequest.addValue("multipart/form-data; --\(boundary)", forHTTPHeaderField: "Content-Type")
myRequest.addValue("application/json", forHTTPHeaderField: "Accept")
myRequest.addValue("xxxxxxxxxxx", forHTTPHeaderField: "APIKey")
myRequest.httpMethod = "POST"
myRequest.cachePolicy = .reloadIgnoringLocalCacheData
myRequest.timeoutInterval = 60.0
//构造请求的主体。
var data = Data()
var dataString = ""
dataString.append("--\(boundary)\r\n")
dataString.append(contentsOf: "Content-Disposition:form-data; name=\"files\"; filename=\"Image1.jpeg\" \r\n")
dataString.append(contentsOf: ";Content-Type:image/jpeg \r\n\r\n")
dataString.append(photoData)
dataString.append("--\(boundary) ----- \r\n")
data = dataString.data(using: .utf8)!
myRequest.httpBody = data
let task = URLSession.shared.dataTask(with: myRequest) { (data, response, error) in
if let error = error {
print(error)
}
guard let httpResponse = response as? HTTPURLResponse,
(200...299).contains(httpResponse.statusCode) else {
print(error as Any)
//在此阶段获取输出，如下所示
return }
if let mimeType = httpResponse.mimeType,
mimeType == "application/json",
let data = data {
do {
let json = try JSONSerialization.jsonObject(with: data, options: []) as? [String:Any]
print(json as Any)
}catch {
print(error)
}
}
}
task.resume()
}
我在响应对象中得到了以下详细信息
{URL：https://sandbox.api.sap.com/ml/scenetextrecognition/scene-text-recognition} {状态代码：400，标题{\ n Connection =（\ n \“ keep-alive \” \ n）; \ n \“ Content-Length \” =（\\ n 131 \ n）; \ n \“ Content-Type \” =（\ n \“ application / json \” \ n）; \ n Date =（\ n \“ Sat，16 Feb 2019 11:56:37 GMT \“ \ n）; \ n服务器=（\ n \” Werkzeug / 0.14.1 Python / 3.5.5 \“ \ n）; \ n \” Strict-Transport-Security \“ =（\ n \” max- age = 31536000; includeSubDomains; preload; \“ \ n）; \ n \” X-Vcap-Request-Id \“ =（\ n \” fea7037c-4e48-49d2-4be1-53b0dad0ee46 \“ \ n）； \ n }
您将看到状态码是HTTP400。需要一些帮助来从服务器获取正确的响应和数据。
答案 0 :(得分：0)
很可能是身体数据混乱了。这是工作代码：
let boundaryConstant = "----WebKitFormBoundary7MA4YWxkTrZu0gW"
let headers = [
"APIKey": "YourAPIKEY"
]
let contentType = "multipart/form-data; boundary=" + boundaryConstant
//API endpoint for API sandbox
var request = URLRequest(url: URL(string: "https://sandbox.api.sap.com/ml/scenetextrecognition/scene-text-recognition")!)
//setting request method
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
let session = URLSession.shared
let path1 = Bundle.main.path(forResource: "your_image", ofType: "png")!
let url = URL(fileURLWithPath: path1)
let fileName = url.lastPathComponent
let data = try? Data(contentsOf: url)
let imageData = UIImage.init(data: data!)!
let pngData = UIImagePNGRepresentation(imageData)!
let mimeType = "image/png"
let boundaryStart = "--\(boundaryConstant)\r\n"
let boundaryEnd = "--\(boundaryConstant)--\r\n"
let fieldName = "files"
let contentDispositionString = "Content-Disposition: form-data; name=\"\(fieldName)\"; filename=\"\(fileName)\"\r\n"
let contentTypeString = "Content-Type: \(mimeType)\r\n\r\n"
var body = Data()
body.append(boundaryStart.data(using: .utf8)!)
body.append(contentDispositionString.data(using: .utf8)!)
body.append(contentTypeString.data(using: .utf8)!)
body.append(pngData)
body.append("\r\n".data(using: .utf8)!)
body.append(boundaryEnd.data(using: .utf8)!)
request.httpBody = body
request.setValue(contentType, forHTTPHeaderField: "Content-Type")
request.setValue(String(body.count), forHTTPHeaderField: "Content-Length")
let dataTask = session.dataTask(with: request) { (data, response, error) in
if (error != nil) {
print(error)
} else {
let httpResponse = response as? HTTPURLResponse
print(httpResponse)
}
}
dataTask.resume()
您还可以使用Alamofire上传图像。这样更干净，不需要过多地玩弄“身体”：
let headers: HTTPHeaders = [
"APIKey": "<<Your API KEY>>",
"Content-type": "multipart/form-data"
]
let parameters:[String: String] = [:] //any other parameters you need to send
let path1 = Bundle.main.path(forResource: "<<your_image>>", ofType: "<<png or jpeg>>")!
let url = URL(fileURLWithPath: path1)
let fileName = url.lastPathComponent
let data = try? Data(contentsOf: url)
let imageData = UIImage.init(data: data!)!
//converting it into png data
let pngData = UIImagePNGRepresentation(imageData)
let mimeType = "image/png"
let fieldName = "files"
Alamofire.upload(multipartFormData: { (multipartFormData) in
for (key, value) in parameters {
multipartFormData.append("\(value)".data(using: String.Encoding.utf8)!, withName: key as String)
}
if let data = pngData{
multipartFormData.append(data, withName: fieldName, fileName: fileName, mimeType: mimeType)
}
}, usingThreshold: UInt64.init(), to: "https://sandbox.api.sap.com/ml/scenetextrecognition/scene-text-recognition" , method: .post, headers: headers) { (result) in
switch result{
case .success(let upload, _, _):
upload.responseJSON { response in
print("Succesfully uploaded")
}
case .failure(let error):
print("Error in upload: \(error.localizedDescription)")
}
}