ListEntityRecognizers Powershell Example
Add-Type -Path "C:\chilkat\ChilkatDotNet47-9.5.0-x64\ChilkatDotNet47.dll"
# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
$rest = New-Object Chilkat.Rest
$authAws = New-Object Chilkat.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
$rest.SetAuthAws($authAws)
# URL: https://comprehend.us-west-2.amazonaws.com/
# Use the same region as specified above.
$success = $rest.Connect("comprehend.us-west-2.amazonaws.com",443,$true,$true)
if ($success -ne $true) {
$("ConnectFailReason: " + $rest.ConnectFailReason)
$($rest.LastErrorText)
exit
}
# 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
$json = New-Object Chilkat.JsonObject
$json.UpdateString("Filter.RecognizerName","string")
$json.UpdateString("Filter.Status","string")
$json.UpdateInt("Filter.SubmitTimeAfter",123)
$json.UpdateInt("Filter.SubmitTimeBefore",123)
$json.UpdateInt("MaxResults",123)
$json.UpdateString("NextToken","string")
# The JSON request body created by the above code:
# {
# "Filter": {
# "RecognizerName": "string",
# "Status": "string",
# "SubmitTimeAfter": number,
# "SubmitTimeBefore": number
# },
# "MaxResults": number,
# "NextToken": "string"
# }
$rest.AddHeader("Content-Type","application/x-amz-json-1.1")
$rest.AddHeader("X-Amz-Target","Comprehend_20171127.ListEntityRecognizers")
$sbRequestBody = New-Object Chilkat.StringBuilder
$json.EmitSb($sbRequestBody)
$sbResponseBody = New-Object Chilkat.StringBuilder
$success = $rest.FullRequestSb("POST","/",$sbRequestBody,$sbResponseBody)
if ($success -ne $true) {
$($rest.LastErrorText)
exit
}
$respStatusCode = $rest.ResponseStatusCode
$("response status code = " + $respStatusCode)
if ($respStatusCode -ne 200) {
$("Response Header:")
$($rest.ResponseHeader)
$("Response Body:")
$($sbResponseBody.GetAsString())
exit
}
$jResp = New-Object Chilkat.JsonObject
$jResp.LoadSb($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 = $jResp.SizeOfArray("EntityRecognizerPropertiesList")
while ($i -lt $count_i) {
$jResp.I = $i
$DataAccessRoleArn = $jResp.StringOf("EntityRecognizerPropertiesList[i].DataAccessRoleArn")
$EndTime = $jResp.IntOf("EntityRecognizerPropertiesList[i].EndTime")
$EntityRecognizerArn = $jResp.StringOf("EntityRecognizerPropertiesList[i].EntityRecognizerArn")
$S3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.Annotations.S3Uri")
$TestS3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.Annotations.TestS3Uri")
$DataFormat = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.DataFormat")
$InputFormat = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.Documents.InputFormat")
$DocumentsS3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.Documents.S3Uri")
$DocumentsTestS3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.Documents.TestS3Uri")
$EntityListS3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.EntityList.S3Uri")
$LanguageCode = $jResp.StringOf("EntityRecognizerPropertiesList[i].LanguageCode")
$Message = $jResp.StringOf("EntityRecognizerPropertiesList[i].Message")
$ModelKmsKeyId = $jResp.StringOf("EntityRecognizerPropertiesList[i].ModelKmsKeyId")
$F1Score = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EvaluationMetrics.F1Score")
$Precision = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EvaluationMetrics.Precision")
$Recall = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EvaluationMetrics.Recall")
$NumberOfTestDocuments = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.NumberOfTestDocuments")
$NumberOfTrainedDocuments = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.NumberOfTrainedDocuments")
$SourceModelArn = $jResp.StringOf("EntityRecognizerPropertiesList[i].SourceModelArn")
$Status = $jResp.StringOf("EntityRecognizerPropertiesList[i].Status")
$SubmitTime = $jResp.IntOf("EntityRecognizerPropertiesList[i].SubmitTime")
$TrainingEndTime = $jResp.IntOf("EntityRecognizerPropertiesList[i].TrainingEndTime")
$TrainingStartTime = $jResp.IntOf("EntityRecognizerPropertiesList[i].TrainingStartTime")
$VersionName = $jResp.StringOf("EntityRecognizerPropertiesList[i].VersionName")
$VolumeKmsKeyId = $jResp.StringOf("EntityRecognizerPropertiesList[i].VolumeKmsKeyId")
$j = 0
$count_j = $jResp.SizeOfArray("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests")
while ($j -lt $count_j) {
$jResp.J = $j
$AnnotationDataS3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests[j].AnnotationDataS3Uri")
$DocumentType = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests[j].DocumentType")
$S3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests[j].S3Uri")
$SourceDocumentsS3Uri = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests[j].SourceDocumentsS3Uri")
$Split = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests[j].Split")
$k = 0
$count_k = $jResp.SizeOfArray("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests[j].AttributeNames")
while ($k -lt $count_k) {
$jResp.K = $k
$strVal = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.AugmentedManifests[j].AttributeNames[k]")
$k = $k + 1
}
$j = $j + 1
}
$j = 0
$count_j = $jResp.SizeOfArray("EntityRecognizerPropertiesList[i].InputDataConfig.EntityTypes")
while ($j -lt $count_j) {
$jResp.J = $j
$v_Type = $jResp.StringOf("EntityRecognizerPropertiesList[i].InputDataConfig.EntityTypes[j].Type")
$j = $j + 1
}
$j = 0
$count_j = $jResp.SizeOfArray("EntityRecognizerPropertiesList[i].RecognizerMetadata.EntityTypes")
while ($j -lt $count_j) {
$jResp.J = $j
$EvaluationMetricsF1Score = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EntityTypes[j].EvaluationMetrics.F1Score")
$EvaluationMetricsPrecision = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EntityTypes[j].EvaluationMetrics.Precision")
$EvaluationMetricsRecall = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EntityTypes[j].EvaluationMetrics.Recall")
$NumberOfTrainMentions = $jResp.IntOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EntityTypes[j].NumberOfTrainMentions")
$v_Type = $jResp.StringOf("EntityRecognizerPropertiesList[i].RecognizerMetadata.EntityTypes[j].Type")
$j = $j + 1
}
$j = 0
$count_j = $jResp.SizeOfArray("EntityRecognizerPropertiesList[i].VpcConfig.SecurityGroupIds")
while ($j -lt $count_j) {
$jResp.J = $j
$strVal = $jResp.StringOf("EntityRecognizerPropertiesList[i].VpcConfig.SecurityGroupIds[j]")
$j = $j + 1
}
$j = 0
$count_j = $jResp.SizeOfArray("EntityRecognizerPropertiesList[i].VpcConfig.Subnets")
while ($j -lt $count_j) {
$jResp.J = $j
$strVal = $jResp.StringOf("EntityRecognizerPropertiesList[i].VpcConfig.Subnets[j]")
$j = $j + 1
}
$i = $i + 1
}
# A sample JSON response body parsed by the above code:
# {
# "EntityRecognizerPropertiesList": [
# {
# "DataAccessRoleArn": "string",
# "EndTime": number,
# "EntityRecognizerArn": "string",
# "InputDataConfig": {
# "Annotations": {
# "S3Uri": "string",
# "TestS3Uri": "string"
# },
# "AugmentedManifests": [
# {
# "AnnotationDataS3Uri": "string",
# "AttributeNames": [
# "string"
# ],
# "DocumentType": "string",
# "S3Uri": "string",
# "SourceDocumentsS3Uri": "string",
# "Split": "string"
# }
# ],
# "DataFormat": "string",
# "Documents": {
# "InputFormat": "string",
# "S3Uri": "string",
# "TestS3Uri": "string"
# },
# "EntityList": {
# "S3Uri": "string"
# },
# "EntityTypes": [
# {
# "Type": "string"
# }
# ]
# },
# "LanguageCode": "string",
# "Message": "string",
# "ModelKmsKeyId": "string",
# "RecognizerMetadata": {
# "EntityTypes": [
# {
# "EvaluationMetrics": {
# "F1Score": number,
# "Precision": number,
# "Recall": number
# },
# "NumberOfTrainMentions": number,
# "Type": "string"
# }
# ],
# "EvaluationMetrics": {
# "F1Score": number,
# "Precision": number,
# "Recall": number
# },
# "NumberOfTestDocuments": number,
# "NumberOfTrainedDocuments": number
# },
# "SourceModelArn": "string",
# "Status": "string",
# "SubmitTime": number,
# "TrainingEndTime": number,
# "TrainingStartTime": number,
# "VersionName": "string",
# "VolumeKmsKeyId": "string",
# "VpcConfig": {
# "SecurityGroupIds": [
# "string"
# ],
# "Subnets": [
# "string"
# ]
# }
# }
# ],
# "NextToken": "string"
# }