Chilkat Online Tools

ListSentimentDetectionJobs 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("Filter.JobName","string");
    json.UpdateString("Filter.JobStatus","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": {
    //     "JobName": "string",
    //     "JobStatus": "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.ListSentimentDetectionJobs");

    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 DataAccessRoleArn;
    var EndTime;
    var DocumentReadAction;
    var DocumentReadMode;
    var InputFormat;
    var S3Uri;
    var JobArn;
    var JobId;
    var JobName;
    var JobStatus;
    var LanguageCode;
    var Message;
    var KmsKeyId;
    var OutputDataConfigS3Uri;
    var SubmitTime;
    var VolumeKmsKeyId;
    var j;
    var count_j;
    var strVal;

    var NextToken = jResp.StringOf("NextToken");
    var i = 0;
    var count_i = jResp.SizeOfArray("SentimentDetectionJobPropertiesList");
    while (i < count_i) {
        jResp.I = i;
        DataAccessRoleArn = jResp.StringOf("SentimentDetectionJobPropertiesList[i].DataAccessRoleArn");
        EndTime = jResp.IntOf("SentimentDetectionJobPropertiesList[i].EndTime");
        DocumentReadAction = jResp.StringOf("SentimentDetectionJobPropertiesList[i].InputDataConfig.DocumentReaderConfig.DocumentReadAction");
        DocumentReadMode = jResp.StringOf("SentimentDetectionJobPropertiesList[i].InputDataConfig.DocumentReaderConfig.DocumentReadMode");
        InputFormat = jResp.StringOf("SentimentDetectionJobPropertiesList[i].InputDataConfig.InputFormat");
        S3Uri = jResp.StringOf("SentimentDetectionJobPropertiesList[i].InputDataConfig.S3Uri");
        JobArn = jResp.StringOf("SentimentDetectionJobPropertiesList[i].JobArn");
        JobId = jResp.StringOf("SentimentDetectionJobPropertiesList[i].JobId");
        JobName = jResp.StringOf("SentimentDetectionJobPropertiesList[i].JobName");
        JobStatus = jResp.StringOf("SentimentDetectionJobPropertiesList[i].JobStatus");
        LanguageCode = jResp.StringOf("SentimentDetectionJobPropertiesList[i].LanguageCode");
        Message = jResp.StringOf("SentimentDetectionJobPropertiesList[i].Message");
        KmsKeyId = jResp.StringOf("SentimentDetectionJobPropertiesList[i].OutputDataConfig.KmsKeyId");
        OutputDataConfigS3Uri = jResp.StringOf("SentimentDetectionJobPropertiesList[i].OutputDataConfig.S3Uri");
        SubmitTime = jResp.IntOf("SentimentDetectionJobPropertiesList[i].SubmitTime");
        VolumeKmsKeyId = jResp.StringOf("SentimentDetectionJobPropertiesList[i].VolumeKmsKeyId");
        j = 0;
        count_j = jResp.SizeOfArray("SentimentDetectionJobPropertiesList[i].InputDataConfig.DocumentReaderConfig.FeatureTypes");
        while (j < count_j) {
            jResp.J = j;
            strVal = jResp.StringOf("SentimentDetectionJobPropertiesList[i].InputDataConfig.DocumentReaderConfig.FeatureTypes[j]");
            j = j+1;
        }

        j = 0;
        count_j = jResp.SizeOfArray("SentimentDetectionJobPropertiesList[i].VpcConfig.SecurityGroupIds");
        while (j < count_j) {
            jResp.J = j;
            strVal = jResp.StringOf("SentimentDetectionJobPropertiesList[i].VpcConfig.SecurityGroupIds[j]");
            j = j+1;
        }

        j = 0;
        count_j = jResp.SizeOfArray("SentimentDetectionJobPropertiesList[i].VpcConfig.Subnets");
        while (j < count_j) {
            jResp.J = j;
            strVal = jResp.StringOf("SentimentDetectionJobPropertiesList[i].VpcConfig.Subnets[j]");
            j = j+1;
        }

        i = i+1;
    }

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

    // {
    //   "NextToken": "string",
    //   "SentimentDetectionJobPropertiesList": [
    //     {
    //       "DataAccessRoleArn": "string",
    //       "EndTime": number,
    //       "InputDataConfig": {
    //         "DocumentReaderConfig": {
    //           "DocumentReadAction": "string",
    //           "DocumentReadMode": "string",
    //           "FeatureTypes": [
    //             "string"
    //           ]
    //         },
    //         "InputFormat": "string",
    //         "S3Uri": "string"
    //       },
    //       "JobArn": "string",
    //       "JobId": "string",
    //       "JobName": "string",
    //       "JobStatus": "string",
    //       "LanguageCode": "string",
    //       "Message": "string",
    //       "OutputDataConfig": {
    //         "KmsKeyId": "string",
    //         "S3Uri": "string"
    //       },
    //       "SubmitTime": number,
    //       "VolumeKmsKeyId": "string",
    //       "VpcConfig": {
    //         "SecurityGroupIds": [
    //           "string"
    //         ],
    //         "Subnets": [
    //           "string"
    //         ]
    //       }
    //     }
    //   ]
    // }

}

chilkatExample();