ListDocumentClassifiers Node.js Example
var os = require('os');
if (os.platform() == 'win32') {
if (os.arch() == 'ia32') {
var chilkat = require('@chilkat/ck-node17-win-ia32');
} else {
var chilkat = require('@chilkat/ck-node17-win64');
}
} else if (os.platform() == 'linux') {
if (os.arch() == 'arm') {
var chilkat = require('@chilkat/ck-node17-arm');
} else if (os.arch() == 'x86') {
var chilkat = require('@chilkat/ck-node17-linux32');
} else {
var chilkat = require('@chilkat/ck-node17-linux64');
}
} else if (os.platform() == 'darwin') {
var chilkat = require('@chilkat/ck-node17-macosx');
}
function chilkatExample() {
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
var rest = new chilkat.Rest();
var success;
var authAws = new 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 !== true) {
console.log("ConnectFailReason: " + rest.ConnectFailReason);
console.log(rest.LastErrorText);
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
var json = new 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");
var sbRequestBody = new chilkat.StringBuilder();
json.EmitSb(sbRequestBody);
var sbResponseBody = new chilkat.StringBuilder();
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
if (success !== true) {
console.log(rest.LastErrorText);
return;
}
var respStatusCode = rest.ResponseStatusCode;
console.log("response status code = " + respStatusCode);
if (respStatusCode !== 200) {
console.log("Response Header:");
console.log(rest.ResponseHeader);
console.log("Response Body:");
console.log(sbResponseBody.GetAsString());
return;
}
var jResp = new 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
var Accuracy;
var F1Score;
var HammingLoss;
var MicroF1Score;
var MicroPrecision;
var MicroRecall;
var Precision;
var Recall;
var NumberOfLabels;
var NumberOfTestDocuments;
var NumberOfTrainedDocuments;
var DataAccessRoleArn;
var DocumentClassifierArn;
var EndTime;
var DataFormat;
var LabelDelimiter;
var S3Uri;
var TestS3Uri;
var LanguageCode;
var Message;
var Mode;
var ModelKmsKeyId;
var KmsKeyId;
var OutputDataConfigS3Uri;
var SourceModelArn;
var Status;
var SubmitTime;
var TrainingEndTime;
var TrainingStartTime;
var VersionName;
var VolumeKmsKeyId;
var j;
var count_j;
var AnnotationDataS3Uri;
var DocumentType;
var SourceDocumentsS3Uri;
var Split;
var k;
var count_k;
var strVal;
var NextToken = jResp.StringOf("NextToken");
var i = 0;
var count_i = jResp.SizeOfArray("DocumentClassifierPropertiesList");
while (i < 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 < 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 < 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 < 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 < 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"
// }
}
chilkatExample();
