DescribeEntityRecognizer C++ Example
#include <CkRest.h>
#include <CkAuthAws.h>
#include <CkJsonObject.h>
#include <CkStringBuilder.h>
void ChilkatSample(void)
{
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
CkRest rest;
bool success;
CkAuthAws authAws;
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) {
std::cout << "ConnectFailReason: " << rest.get_ConnectFailReason() << "\r\n";
std::cout << rest.lastErrorText() << "\r\n";
return;
}
// 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
CkJsonObject json;
json.UpdateString("EntityRecognizerArn","string");
// The JSON request body created by the above code:
// {
// "EntityRecognizerArn": "string"
// }
rest.AddHeader("Content-Type","application/x-amz-json-1.1");
rest.AddHeader("X-Amz-Target","Comprehend_20171127.DescribeEntityRecognizer");
CkStringBuilder sbRequestBody;
json.EmitSb(sbRequestBody);
CkStringBuilder sbResponseBody;
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
if (success != true) {
std::cout << rest.lastErrorText() << "\r\n";
return;
}
int respStatusCode = rest.get_ResponseStatusCode();
std::cout << "response status code = " << respStatusCode << "\r\n";
if (respStatusCode != 200) {
std::cout << "Response Header:" << "\r\n";
std::cout << rest.responseHeader() << "\r\n";
std::cout << "Response Body:" << "\r\n";
std::cout << sbResponseBody.getAsString() << "\r\n";
return;
}
CkJsonObject jResp;
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
// Chilkat functions returning "const char *" return a pointer to temporary internal memory owned and managed by Chilkat.
// See this example explaining how this memory should be used: const char * functions.
const char *AnnotationDataS3Uri = 0;
const char *DocumentType = 0;
const char *SourceDocumentsS3Uri = 0;
const char *Split = 0;
int j;
int count_j;
const char *strVal = 0;
const char *v_Type = 0;
int EvaluationMetricsF1Score;
int EvaluationMetricsPrecision;
int EvaluationMetricsRecall;
int NumberOfTrainMentions;
const char *DataAccessRoleArn = jResp.stringOf("EntityRecognizerProperties.DataAccessRoleArn");
int EndTime = jResp.IntOf("EntityRecognizerProperties.EndTime");
const char *EntityRecognizerArn = jResp.stringOf("EntityRecognizerProperties.EntityRecognizerArn");
const char *S3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.Annotations.S3Uri");
const char *TestS3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.Annotations.TestS3Uri");
const char *DataFormat = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.DataFormat");
const char *InputFormat = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.Documents.InputFormat");
const char *DocumentsS3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.Documents.S3Uri");
const char *DocumentsTestS3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.Documents.TestS3Uri");
const char *EntityListS3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.EntityList.S3Uri");
const char *LanguageCode = jResp.stringOf("EntityRecognizerProperties.LanguageCode");
const char *Message = jResp.stringOf("EntityRecognizerProperties.Message");
const char *ModelKmsKeyId = jResp.stringOf("EntityRecognizerProperties.ModelKmsKeyId");
int F1Score = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.EvaluationMetrics.F1Score");
int Precision = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.EvaluationMetrics.Precision");
int Recall = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.EvaluationMetrics.Recall");
int NumberOfTestDocuments = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.NumberOfTestDocuments");
int NumberOfTrainedDocuments = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.NumberOfTrainedDocuments");
const char *SourceModelArn = jResp.stringOf("EntityRecognizerProperties.SourceModelArn");
const char *Status = jResp.stringOf("EntityRecognizerProperties.Status");
int SubmitTime = jResp.IntOf("EntityRecognizerProperties.SubmitTime");
int TrainingEndTime = jResp.IntOf("EntityRecognizerProperties.TrainingEndTime");
int TrainingStartTime = jResp.IntOf("EntityRecognizerProperties.TrainingStartTime");
const char *VersionName = jResp.stringOf("EntityRecognizerProperties.VersionName");
const char *VolumeKmsKeyId = jResp.stringOf("EntityRecognizerProperties.VolumeKmsKeyId");
int i = 0;
int count_i = jResp.SizeOfArray("EntityRecognizerProperties.InputDataConfig.AugmentedManifests");
while (i < count_i) {
jResp.put_I(i);
AnnotationDataS3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.AugmentedManifests[i].AnnotationDataS3Uri");
DocumentType = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.AugmentedManifests[i].DocumentType");
S3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.AugmentedManifests[i].S3Uri");
SourceDocumentsS3Uri = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.AugmentedManifests[i].SourceDocumentsS3Uri");
Split = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.AugmentedManifests[i].Split");
j = 0;
count_j = jResp.SizeOfArray("EntityRecognizerProperties.InputDataConfig.AugmentedManifests[i].AttributeNames");
while (j < count_j) {
jResp.put_J(j);
strVal = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.AugmentedManifests[i].AttributeNames[j]");
j = j + 1;
}
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("EntityRecognizerProperties.InputDataConfig.EntityTypes");
while (i < count_i) {
jResp.put_I(i);
v_Type = jResp.stringOf("EntityRecognizerProperties.InputDataConfig.EntityTypes[i].Type");
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("EntityRecognizerProperties.RecognizerMetadata.EntityTypes");
while (i < count_i) {
jResp.put_I(i);
EvaluationMetricsF1Score = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.EntityTypes[i].EvaluationMetrics.F1Score");
EvaluationMetricsPrecision = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.EntityTypes[i].EvaluationMetrics.Precision");
EvaluationMetricsRecall = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.EntityTypes[i].EvaluationMetrics.Recall");
NumberOfTrainMentions = jResp.IntOf("EntityRecognizerProperties.RecognizerMetadata.EntityTypes[i].NumberOfTrainMentions");
v_Type = jResp.stringOf("EntityRecognizerProperties.RecognizerMetadata.EntityTypes[i].Type");
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("EntityRecognizerProperties.VpcConfig.SecurityGroupIds");
while (i < count_i) {
jResp.put_I(i);
strVal = jResp.stringOf("EntityRecognizerProperties.VpcConfig.SecurityGroupIds[i]");
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("EntityRecognizerProperties.VpcConfig.Subnets");
while (i < count_i) {
jResp.put_I(i);
strVal = jResp.stringOf("EntityRecognizerProperties.VpcConfig.Subnets[i]");
i = i + 1;
}
// A sample JSON response body parsed by the above code:
// {
// "EntityRecognizerProperties": {
// "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"
// ]
// }
// }
// }
}
