Chilkat Tools

DescribeSentimentDetectionJob Classic ASP Example

Amazon Comprehend

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<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
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<%
' 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("JobId","string")

' The JSON request body created by the above code:

' {
'   "JobId": "string"
' }

success = rest.AddHeader("Content-Type","application/x-amz-json-1.1")
success = rest.AddHeader("X-Amz-Target","Comprehend_20171127.DescribeSentimentDetectionJob")

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

DataAccessRoleArn = jResp.StringOf("SentimentDetectionJobProperties.DataAccessRoleArn")
EndTime = jResp.IntOf("SentimentDetectionJobProperties.EndTime")
DocumentReadAction = jResp.StringOf("SentimentDetectionJobProperties.InputDataConfig.DocumentReaderConfig.DocumentReadAction")
DocumentReadMode = jResp.StringOf("SentimentDetectionJobProperties.InputDataConfig.DocumentReaderConfig.DocumentReadMode")
InputFormat = jResp.StringOf("SentimentDetectionJobProperties.InputDataConfig.InputFormat")
S3Uri = jResp.StringOf("SentimentDetectionJobProperties.InputDataConfig.S3Uri")
JobArn = jResp.StringOf("SentimentDetectionJobProperties.JobArn")
JobId = jResp.StringOf("SentimentDetectionJobProperties.JobId")
JobName = jResp.StringOf("SentimentDetectionJobProperties.JobName")
JobStatus = jResp.StringOf("SentimentDetectionJobProperties.JobStatus")
LanguageCode = jResp.StringOf("SentimentDetectionJobProperties.LanguageCode")
Message = jResp.StringOf("SentimentDetectionJobProperties.Message")
KmsKeyId = jResp.StringOf("SentimentDetectionJobProperties.OutputDataConfig.KmsKeyId")
OutputDataConfigS3Uri = jResp.StringOf("SentimentDetectionJobProperties.OutputDataConfig.S3Uri")
SubmitTime = jResp.IntOf("SentimentDetectionJobProperties.SubmitTime")
VolumeKmsKeyId = jResp.StringOf("SentimentDetectionJobProperties.VolumeKmsKeyId")
i = 0
count_i = jResp.SizeOfArray("SentimentDetectionJobProperties.InputDataConfig.DocumentReaderConfig.FeatureTypes")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("SentimentDetectionJobProperties.InputDataConfig.DocumentReaderConfig.FeatureTypes[i]")
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("SentimentDetectionJobProperties.VpcConfig.SecurityGroupIds")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("SentimentDetectionJobProperties.VpcConfig.SecurityGroupIds[i]")
    i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("SentimentDetectionJobProperties.VpcConfig.Subnets")
Do While i < count_i
    jResp.I = i
    strVal = jResp.StringOf("SentimentDetectionJobProperties.VpcConfig.Subnets[i]")
    i = i + 1
Loop

' A sample JSON response body parsed by the above code:

' {
'   "SentimentDetectionJobProperties": {
'     "DataAccessRoleArn": "string",
'     "EndTime": number,
'     "InputDataConfig": {
'       "DocumentReaderConfig": {
'         "DocumentReadAction": "string",
'         "DocumentReadMode": "string",
'         "FeatureTypes": [
'           "string"
'         ]
'       },
'       "InputFormat": "string",
'       "S3Uri": "string"
'     },
'     "JobArn": "string",
'     "JobId": "string",
'     "JobName": "string",
'     "JobStatus": "string",
'     "LanguageCode": "string",
'     "Message": "string",
'     "OutputDataConfig": {
'       "KmsKeyId": "string",
'       "S3Uri": "string"
'     },
'     "SubmitTime": number,
'     "VolumeKmsKeyId": "string",
'     "VpcConfig": {
'       "SecurityGroupIds": [
'         "string"
'       ],
'       "Subnets": [
'         "string"
'       ]
'     }
'   }
' }

%>
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Chilkat Online Tools

DescribeSentimentDetectionJob Classic ASP Example

Amazon Comprehend
