ListEntityRecognizers Ruby Example
require '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,true,true)
if (success != true)
print "ConnectFailReason: " + rest.get_ConnectFailReason().to_s() + "\n";
print rest.lastErrorText() + "\n";
exit
end
# 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 != true)
print rest.lastErrorText() + "\n";
exit
end
respStatusCode = rest.get_ResponseStatusCode()
print "response status code = " + respStatusCode.to_s() + "\n";
if (respStatusCode != 200)
print "Response Header:" + "\n";
print rest.responseHeader() + "\n";
print "Response Body:" + "\n";
print sbResponseBody.getAsString() + "\n";
exit
end
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
end
j = j + 1
end
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
end
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
end
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
end
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
end
i = i + 1
end
# 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"
# }
