ListDocumentClassifiers VB6 Example
' This example requires the Chilkat API to have been previously unlocked.
' See Global Unlock Sample for sample code.
Dim rest As New ChilkatRest
Dim success As Long
Dim authAws As New ChilkatAuthAws
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
success = 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",443,1,1)
If (success <> 1) Then
Debug.Print "ConnectFailReason: " & rest.ConnectFailReason
Debug.Print rest.LastErrorText
Exit Sub
End If
' 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
Dim json As New ChilkatJsonObject
success = json.UpdateString("Filter.DocumentClassifierName","string")
success = json.UpdateString("Filter.Status","string")
success = json.UpdateInt("Filter.SubmitTimeAfter",123)
success = json.UpdateInt("Filter.SubmitTimeBefore",123)
success = json.UpdateInt("MaxResults",123)
success = json.UpdateString("NextToken","string")
' The JSON request body created by the above code:
' {
' "Filter": {
' "DocumentClassifierName": "string",
' "Status": "string",
' "SubmitTimeAfter": number,
' "SubmitTimeBefore": number
' },
' "MaxResults": number,
' "NextToken": "string"
' }
success = rest.AddHeader("Content-Type","application/x-amz-json-1.1")
success = rest.AddHeader("X-Amz-Target","Comprehend_20171127.ListDocumentClassifiers")
Dim sbRequestBody As New ChilkatStringBuilder
success = json.EmitSb(sbRequestBody)
Dim sbResponseBody As New ChilkatStringBuilder
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> 1) Then
Debug.Print rest.LastErrorText
Exit Sub
End If
Dim respStatusCode As Long
respStatusCode = rest.ResponseStatusCode
Debug.Print "response status code = " & respStatusCode
If (respStatusCode <> 200) Then
Debug.Print "Response Header:"
Debug.Print rest.ResponseHeader
Debug.Print "Response Body:"
Debug.Print sbResponseBody.GetAsString()
Exit Sub
End If
Dim jResp As New ChilkatJsonObject
success = 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
Dim Accuracy As Long
Dim F1Score As Long
Dim HammingLoss As Long
Dim MicroF1Score As Long
Dim MicroPrecision As Long
Dim MicroRecall As Long
Dim Precision As Long
Dim Recall As Long
Dim NumberOfLabels As Long
Dim NumberOfTestDocuments As Long
Dim NumberOfTrainedDocuments As Long
Dim DataAccessRoleArn As String
Dim DocumentClassifierArn As String
Dim EndTime As Long
Dim DataFormat As String
Dim LabelDelimiter As String
Dim S3Uri As String
Dim TestS3Uri As String
Dim LanguageCode As String
Dim Message As String
Dim Mode As String
Dim ModelKmsKeyId As String
Dim KmsKeyId As String
Dim OutputDataConfigS3Uri As String
Dim SourceModelArn As String
Dim Status As String
Dim SubmitTime As Long
Dim TrainingEndTime As Long
Dim TrainingStartTime As Long
Dim VersionName As String
Dim VolumeKmsKeyId As String
Dim j As Long
Dim count_j As Long
Dim AnnotationDataS3Uri As String
Dim DocumentType As String
Dim SourceDocumentsS3Uri As String
Dim Split As String
Dim k As Long
Dim count_k As Long
Dim strVal As String
Dim NextToken As String
NextToken = jResp.StringOf("NextToken")
Dim i As Long
i = 0
Dim count_i As Long
count_i = jResp.SizeOfArray("DocumentClassifierPropertiesList")
Do While i < count_i
jResp.I = i
Accuracy = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.Accuracy")
F1Score = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.F1Score")
HammingLoss = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.HammingLoss")
MicroF1Score = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.MicroF1Score")
MicroPrecision = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.MicroPrecision")
MicroRecall = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.MicroRecall")
Precision = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.Precision")
Recall = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.EvaluationMetrics.Recall")
NumberOfLabels = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.NumberOfLabels")
NumberOfTestDocuments = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.NumberOfTestDocuments")
NumberOfTrainedDocuments = jResp.IntOf("DocumentClassifierPropertiesList[i].ClassifierMetadata.NumberOfTrainedDocuments")
DataAccessRoleArn = jResp.StringOf("DocumentClassifierPropertiesList[i].DataAccessRoleArn")
DocumentClassifierArn = jResp.StringOf("DocumentClassifierPropertiesList[i].DocumentClassifierArn")
EndTime = jResp.IntOf("DocumentClassifierPropertiesList[i].EndTime")
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")
TrainingEndTime = jResp.IntOf("DocumentClassifierPropertiesList[i].TrainingEndTime")
TrainingStartTime = jResp.IntOf("DocumentClassifierPropertiesList[i].TrainingStartTime")
VersionName = jResp.StringOf("DocumentClassifierPropertiesList[i].VersionName")
VolumeKmsKeyId = jResp.StringOf("DocumentClassifierPropertiesList[i].VolumeKmsKeyId")
j = 0
count_j = jResp.SizeOfArray("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests")
Do 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")
Do While k < count_k
jResp.K = k
strVal = jResp.StringOf("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].AttributeNames[k]")
k = k + 1
Loop
j = j + 1
Loop
j = 0
count_j = jResp.SizeOfArray("DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds")
Do While j < count_j
jResp.J = j
strVal = jResp.StringOf("DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds[j]")
j = j + 1
Loop
j = 0
count_j = jResp.SizeOfArray("DocumentClassifierPropertiesList[i].VpcConfig.Subnets")
Do While j < count_j
jResp.J = j
strVal = jResp.StringOf("DocumentClassifierPropertiesList[i].VpcConfig.Subnets[j]")
j = j + 1
Loop
i = i + 1
Loop
' 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"
' }
