Chilkat Online Tools

DescribeDocumentClassifier Node.js Example

Amazon Comprehend

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("DocumentClassifierArn","string");

    // The JSON request body created by the above code:

    // {
    //   "DocumentClassifierArn": "string"
    // }

    rest.AddHeader("Content-Type","application/x-amz-json-1.1");
    rest.AddHeader("X-Amz-Target","Comprehend_20171127.DescribeDocumentClassifier");

    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 AnnotationDataS3Uri;
    var DocumentType;
    var SourceDocumentsS3Uri;
    var Split;
    var j;
    var count_j;
    var strVal;

    var Accuracy = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Accuracy");
    var F1Score = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.F1Score");
    var HammingLoss = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.HammingLoss");
    var MicroF1Score = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroF1Score");
    var MicroPrecision = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroPrecision");
    var MicroRecall = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroRecall");
    var Precision = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Precision");
    var Recall = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Recall");
    var NumberOfLabels = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.NumberOfLabels");
    var NumberOfTestDocuments = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.NumberOfTestDocuments");
    var NumberOfTrainedDocuments = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.NumberOfTrainedDocuments");
    var DataAccessRoleArn = jResp.StringOf("DocumentClassifierProperties.DataAccessRoleArn");
    var DocumentClassifierArn = jResp.StringOf("DocumentClassifierProperties.DocumentClassifierArn");
    var EndTime = jResp.IntOf("DocumentClassifierProperties.EndTime");
    var DataFormat = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.DataFormat");
    var LabelDelimiter = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.LabelDelimiter");
    var S3Uri = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.S3Uri");
    var TestS3Uri = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.TestS3Uri");
    var LanguageCode = jResp.StringOf("DocumentClassifierProperties.LanguageCode");
    var Message = jResp.StringOf("DocumentClassifierProperties.Message");
    var Mode = jResp.StringOf("DocumentClassifierProperties.Mode");
    var ModelKmsKeyId = jResp.StringOf("DocumentClassifierProperties.ModelKmsKeyId");
    var KmsKeyId = jResp.StringOf("DocumentClassifierProperties.OutputDataConfig.KmsKeyId");
    var OutputDataConfigS3Uri = jResp.StringOf("DocumentClassifierProperties.OutputDataConfig.S3Uri");
    var SourceModelArn = jResp.StringOf("DocumentClassifierProperties.SourceModelArn");
    var Status = jResp.StringOf("DocumentClassifierProperties.Status");
    var SubmitTime = jResp.IntOf("DocumentClassifierProperties.SubmitTime");
    var TrainingEndTime = jResp.IntOf("DocumentClassifierProperties.TrainingEndTime");
    var TrainingStartTime = jResp.IntOf("DocumentClassifierProperties.TrainingStartTime");
    var VersionName = jResp.StringOf("DocumentClassifierProperties.VersionName");
    var VolumeKmsKeyId = jResp.StringOf("DocumentClassifierProperties.VolumeKmsKeyId");
    var i = 0;
    var count_i = jResp.SizeOfArray("DocumentClassifierProperties.InputDataConfig.AugmentedManifests");
    while (i < count_i) {
        jResp.I = i;
        AnnotationDataS3Uri = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].AnnotationDataS3Uri");
        DocumentType = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].DocumentType");
        S3Uri = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].S3Uri");
        SourceDocumentsS3Uri = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].SourceDocumentsS3Uri");
        Split = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].Split");
        j = 0;
        count_j = jResp.SizeOfArray("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].AttributeNames");
        while (j < count_j) {
            jResp.J = j;
            strVal = jResp.StringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].AttributeNames[j]");
            j = j+1;
        }

        i = i+1;
    }

    i = 0;
    count_i = jResp.SizeOfArray("DocumentClassifierProperties.VpcConfig.SecurityGroupIds");
    while (i < count_i) {
        jResp.I = i;
        strVal = jResp.StringOf("DocumentClassifierProperties.VpcConfig.SecurityGroupIds[i]");
        i = i+1;
    }

    i = 0;
    count_i = jResp.SizeOfArray("DocumentClassifierProperties.VpcConfig.Subnets");
    while (i < count_i) {
        jResp.I = i;
        strVal = jResp.StringOf("DocumentClassifierProperties.VpcConfig.Subnets[i]");
        i = i+1;
    }

    // A sample JSON response body parsed by the above code:

    // {
    //   "DocumentClassifierProperties": {
    //     "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"
    //       ]
    //     }
    //   }
    // }

}

chilkatExample();