ListDocumentClassifiers Swift Example
func chilkatTest() {
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let rest = CkoRest()
var success: Bool
let authAws = CkoAuthAws()
authAws.AccessKey = "AWS_ACCESS_KEY"
authAws.SecretKey = "AWS_SECRET_KEY"
// Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
authAws.Region = "us-west-2"
authAws.ServiceName = "comprehend"
// SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws)
// URL: https://comprehend.us-west-2.amazonaws.com/
// Use the same region as specified above.
success = rest.Connect("comprehend.us-west-2.amazonaws.com", port: 443, tls: true, autoReconnect: true)
if success != true {
print("ConnectFailReason: \(rest.ConnectFailReason.intValue)")
print("\(rest.LastErrorText)")
return
}
// The following code creates the JSON request body.
// The JSON created by this code is shown below.
// Use this online tool to generate code from sample JSON:
// Generate Code to Create JSON
let json = CkoJsonObject()
json.UpdateString("Filter.DocumentClassifierName", value: "string")
json.UpdateString("Filter.Status", value: "string")
json.UpdateInt("Filter.SubmitTimeAfter", value: 123)
json.UpdateInt("Filter.SubmitTimeBefore", value: 123)
json.UpdateInt("MaxResults", value: 123)
json.UpdateString("NextToken", value: "string")
// The JSON request body created by the above code:
// {
// "Filter": {
// "DocumentClassifierName": "string",
// "Status": "string",
// "SubmitTimeAfter": number,
// "SubmitTimeBefore": number
// },
// "MaxResults": number,
// "NextToken": "string"
// }
rest.AddHeader("Content-Type", value: "application/x-amz-json-1.1")
rest.AddHeader("X-Amz-Target", value: "Comprehend_20171127.ListDocumentClassifiers")
let sbRequestBody = CkoStringBuilder()
json.EmitSb(sbRequestBody)
let sbResponseBody = CkoStringBuilder()
success = rest.FullRequestSb("POST", uriPath: "/", requestBody: sbRequestBody, responseBody: sbResponseBody)
if success != true {
print("\(rest.LastErrorText)")
return
}
var respStatusCode: Int = rest.ResponseStatusCode.intValue
print("response status code = \(respStatusCode)")
if respStatusCode != 200 {
print("Response Header:")
print("\(rest.ResponseHeader)")
print("Response Body:")
print("\(sbResponseBody.GetAsString())")
return
}
let jResp = CkoJsonObject()
jResp.LoadSb(sbResponseBody)
// The following code parses the JSON response.
// A sample JSON response is shown below the sample code.
// Use this online tool to generate parsing code from sample JSON:
// Generate Parsing Code from JSON
var Accuracy: Int
var F1Score: Int
var HammingLoss: Int
var MicroF1Score: Int
var MicroPrecision: Int
var MicroRecall: Int
var Precision: Int
var Recall: Int
var NumberOfLabels: Int
var NumberOfTestDocuments: Int
var NumberOfTrainedDocuments: Int
var DataAccessRoleArn: String?
var DocumentClassifierArn: String?
var EndTime: Int
var DataFormat: String?
var LabelDelimiter: String?
var S3Uri: String?
var TestS3Uri: String?
var LanguageCode: String?
var Message: String?
var Mode: String?
var ModelKmsKeyId: String?
var KmsKeyId: String?
var OutputDataConfigS3Uri: String?
var SourceModelArn: String?
var Status: String?
var SubmitTime: Int
var TrainingEndTime: Int
var TrainingStartTime: Int
var VersionName: String?
var VolumeKmsKeyId: String?
var j: Int
var count_j: Int
var AnnotationDataS3Uri: String?
var DocumentType: String?
var SourceDocumentsS3Uri: String?
var Split: String?
var k: Int
var count_k: Int
var strVal: String?
var NextToken: String? = jResp.StringOf("NextToken")
var i: Int = 0
var count_i: Int = jResp.SizeOfArray("DocumentClassifierPropertiesList").intValue
while i < count_i {
jResp.I = i
Accuracy = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.Accuracy").intValue
F1Score = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.F1Score").intValue
HammingLoss = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.HammingLoss").intValue
MicroF1Score = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.MicroF1Score").intValue
MicroPrecision = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.MicroPrecision").intValue
MicroRecall = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.MicroRecall").intValue
Precision = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.Precision").intValue
Recall = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.Recall").intValue
NumberOfLabels = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.NumberOfLabels").intValue
NumberOfTestDocuments = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.NumberOfTestDocuments").intValue
NumberOfTrainedDocuments = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.NumberOfTrainedDocuments").intValue
DataAccessRoleArn = jResp.StringOf("DocumentClassifierPropertiesList[i].DataAccessRoleArn")
DocumentClassifierArn = jResp.StringOf("DocumentClassifierPropertiesList[i].DocumentClassifierArn")
EndTime = jResp.IntOf("DocumentClassifierPropertiesList[i].EndTime").intValue
DataFormat = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.DataFormat")
LabelDelimiter = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.LabelDelimiter")
S3Uri = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.S3Uri")
TestS3Uri = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.TestS3Uri")
LanguageCode = jResp.StringOf("DocumentClassifierPropertiesList[i].LanguageCode")
Message = jResp.StringOf("DocumentClassifierPropertiesList[i].Message")
Mode = jResp.StringOf("DocumentClassifierPropertiesList[i].Mode")
ModelKmsKeyId = jResp.StringOf("DocumentClassifierPropertiesList[i].ModelKmsKeyId")
KmsKeyId = jResp.StringOf("DocumentClassifierPropertiesList[i].OutputDataConfig.KmsKeyId")
OutputDataConfigS3Uri = jResp.StringOf("DocumentClassifierPropertiesList[i].OutputDataConfig.S3Uri")
SourceModelArn = jResp.StringOf("DocumentClassifierPropertiesList[i].SourceModelArn")
Status = jResp.StringOf("DocumentClassifierPropertiesList[i].Status")
SubmitTime = jResp.IntOf("DocumentClassifierPropertiesList[i].SubmitTime").intValue
TrainingEndTime = jResp.IntOf("DocumentClassifierPropertiesList[i].TrainingEndTime").intValue
TrainingStartTime = jResp.IntOf("DocumentClassifierPropertiesList[i].TrainingStartTime").intValue
VersionName = jResp.StringOf("DocumentClassifierPropertiesList[i].VersionName")
VolumeKmsKeyId = jResp.StringOf("DocumentClassifierPropertiesList[i].VolumeKmsKeyId")
j = 0
count_j = jResp.SizeOfArray("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests").intValue
while j < count_j {
jResp.J = j
AnnotationDataS3Uri = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].AnnotationDataS3Uri")
DocumentType = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].DocumentType")
S3Uri = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].S3Uri")
SourceDocumentsS3Uri = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].SourceDocumentsS3Uri")
Split = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].Split")
k = 0
count_k = jResp.SizeOfArray("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].AttributeNames").intValue
while k < count_k {
jResp.K = k
strVal = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].AttributeNames[k]")
k = k + 1
}
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("DocumentClassifierPropertiesList[i].VpcConfig.Subnets").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("DocumentClassifierPropertiesList[i].VpcConfig.Subnets[j]")
j = j + 1
}
i = i + 1
}
// A sample JSON response body parsed by the above code:
// {
// "DocumentClassifierPropertiesList": [
// {
// "ClassifierMetadata": {
// "EvaluationMetrics": {
// "Accuracy": number,
// "F1Score": number,
// "HammingLoss": number,
// "MicroF1Score": number,
// "MicroPrecision": number,
// "MicroRecall": number,
// "Precision": number,
// "Recall": number
// },
// "NumberOfLabels": number,
// "NumberOfTestDocuments": number,
// "NumberOfTrainedDocuments": number
// },
// "DataAccessRoleArn": "string",
// "DocumentClassifierArn": "string",
// "EndTime": number,
// "InputDataConfig": {
// "AugmentedManifests": [
// {
// "AnnotationDataS3Uri": "string",
// "AttributeNames": [
// "string"
// ],
// "DocumentType": "string",
// "S3Uri": "string",
// "SourceDocumentsS3Uri": "string",
// "Split": "string"
// }
// ],
// "DataFormat": "string",
// "LabelDelimiter": "string",
// "S3Uri": "string",
// "TestS3Uri": "string"
// },
// "LanguageCode": "string",
// "Message": "string",
// "Mode": "string",
// "ModelKmsKeyId": "string",
// "OutputDataConfig": {
// "KmsKeyId": "string",
// "S3Uri": "string"
// },
// "SourceModelArn": "string",
// "Status": "string",
// "SubmitTime": number,
// "TrainingEndTime": number,
// "TrainingStartTime": number,
// "VersionName": "string",
// "VolumeKmsKeyId": "string",
// "VpcConfig": {
// "SecurityGroupIds": [
// "string"
// ],
// "Subnets": [
// "string"
// ]
// }
// }
// ],
// "NextToken": "string"
// }
}
