ListDocumentClassifiers Classic ASP Example
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head>
<body>
<%
' This example requires the Chilkat API to have been previously unlocked.
' See Global Unlock Sample for sample code.
set rest = Server.CreateObject("Chilkat_9_5_0.Rest")
set authAws = Server.CreateObject("Chilkat_9_5_0.AuthAws")
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
Response.Write "<pre>" & Server.HTMLEncode( "ConnectFailReason: " & rest.ConnectFailReason) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
Response.End
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
set json = Server.CreateObject("Chilkat_9_5_0.JsonObject")
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")
set sbRequestBody = Server.CreateObject("Chilkat_9_5_0.StringBuilder")
success = json.EmitSb(sbRequestBody)
set sbResponseBody = Server.CreateObject("Chilkat_9_5_0.StringBuilder")
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> 1) Then
Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
Response.End
End If
respStatusCode = rest.ResponseStatusCode
Response.Write "<pre>" & Server.HTMLEncode( "response status code = " & respStatusCode) & "</pre>"
If (respStatusCode <> 200) Then
Response.Write "<pre>" & Server.HTMLEncode( "Response Header:") & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( rest.ResponseHeader) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( "Response Body:") & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( sbResponseBody.GetAsString()) & "</pre>"
Response.End
End If
set jResp = Server.CreateObject("Chilkat_9_5_0.JsonObject")
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
NextToken = jResp.StringOf("NextToken")
i = 0
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"
' }
%>
</body>
</html>