ListEntityRecognizers Perl Example
use chilkat();
# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
$rest = chilkat::CkRest->new();
$authAws = chilkat::CkAuthAws->new();
$authAws->put_AccessKey("AWS_ACCESS_KEY");
$authAws->put_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->put_Region("us-west-2");
$authAws->put_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 = $rest->Connect("comprehend.us-west-2.amazonaws.com",443,1,1);
if ($success != 1) {
print "ConnectFailReason: " . $rest->get_ConnectFailReason() . "\r\n";
print $rest->lastErrorText() . "\r\n";
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 = chilkat::CkJsonObject->new();
$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 = chilkat::CkStringBuilder->new();
$json->EmitSb($sbRequestBody);
$sbResponseBody = chilkat::CkStringBuilder->new();
$success = $rest->FullRequestSb("POST","/",$sbRequestBody,$sbResponseBody);
if ($success != 1) {
print $rest->lastErrorText() . "\r\n";
exit;
}
$respStatusCode = $rest->get_ResponseStatusCode();
print "response status code = " . $respStatusCode . "\r\n";
if ($respStatusCode != 200) {
print "Response Header:" . "\r\n";
print $rest->responseHeader() . "\r\n";
print "Response Body:" . "\r\n";
print $sbResponseBody->getAsString() . "\r\n";
exit;
}
$jResp = chilkat::CkJsonObject->new();
$jResp->LoadSb($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 < $count_i) {
$jResp->put_I($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 < $count_j) {
$jResp->put_J($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 < $count_k) {
$jResp->put_K($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 < $count_j) {
$jResp->put_J($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 < $count_j) {
$jResp->put_J($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 < $count_j) {
$jResp->put_J($j);
$strVal = $jResp->stringOf("EntityRecognizerPropertiesList[i].VpcConfig.SecurityGroupIds[j]");
$j = $j + 1;
}
$j = 0;
$count_j = $jResp->SizeOfArray("EntityRecognizerPropertiesList[i].VpcConfig.Subnets");
while ($j < $count_j) {
$jResp->put_J($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"
# }
