Chilkat Online Tools

ListDocumentClassifiers Powershell Example

Amazon Comprehend

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.DocumentClassifierName","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": {
#     "DocumentClassifierName": "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.ListDocumentClassifiers")

$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 = $jResp.SizeOfArray("DocumentClassifierPropertiesList")
while ($i -lt $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 = $jResp.SizeOfArray("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests")
    while ($j -lt $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 = $jResp.SizeOfArray("DocumentClassifierPropertiesList[i].InputDataConfig.AugmentedManifests[j].AttributeNames")
        while ($k -lt $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 = $jResp.SizeOfArray("DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds")
    while ($j -lt $count_j) {
        $jResp.J = $j
        $strVal = $jResp.StringOf("DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds[j]")
        $j = $j + 1
    }

    $j = 0
    $count_j = $jResp.SizeOfArray("DocumentClassifierPropertiesList[i].VpcConfig.Subnets")
    while ($j -lt $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"
# }