Chilkat Online Tools

ListRealtimeContactAnalysisSegments Node.js Example

Amazon Connect Contact Lens

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 = "connect";
    // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
    rest.SetAuthAws(authAws);

    // URL: https://contact-lens.us-west-2.amazonaws.com/
    // Use the same region as specified above.
    success = rest.Connect("contact-lens.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("ContactId","string");
    json.UpdateString("InstanceId","string");
    json.UpdateInt("MaxResults",123);
    json.UpdateString("NextToken","string");

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

    // {
    //   "ContactId": "string",
    //   "InstanceId": "string",
    //   "MaxResults": number,
    //   "NextToken": "string"
    // }

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

    var sbRequestBody = new chilkat.StringBuilder();
    json.EmitSb(sbRequestBody);
    var sbResponseBody = new chilkat.StringBuilder();
    success = rest.FullRequestSb("POST","/realtime-contact-analysis/analysis-segments",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 BeginOffsetMillis;
    var Content;
    var EndOffsetMillis;
    var Id;
    var ParticipantId;
    var ParticipantRole;
    var Sentiment;
    var j;
    var count_j;
    var strVal;
    var BeginOffsetChar;
    var EndOffsetChar;

    var NextToken = jResp.StringOf("NextToken");
    var i = 0;
    var count_i = jResp.SizeOfArray("Segments");
    while (i < count_i) {
        jResp.I = i;
        BeginOffsetMillis = jResp.IntOf("Segments[i].Transcript.BeginOffsetMillis");
        Content = jResp.StringOf("Segments[i].Transcript.Content");
        EndOffsetMillis = jResp.IntOf("Segments[i].Transcript.EndOffsetMillis");
        Id = jResp.StringOf("Segments[i].Transcript.Id");
        ParticipantId = jResp.StringOf("Segments[i].Transcript.ParticipantId");
        ParticipantRole = jResp.StringOf("Segments[i].Transcript.ParticipantRole");
        Sentiment = jResp.StringOf("Segments[i].Transcript.Sentiment");
        j = 0;
        count_j = jResp.SizeOfArray("Segments[i].Categories.MatchedCategories");
        while (j < count_j) {
            jResp.J = j;
            strVal = jResp.StringOf("Segments[i].Categories.MatchedCategories[j]");
            j = j+1;
        }

        j = 0;
        count_j = jResp.SizeOfArray("Segments[i].Categories.MatchedDetails.string.PointsOfInterest");
        while (j < count_j) {
            jResp.J = j;
            BeginOffsetMillis = jResp.IntOf("Segments[i].Categories.MatchedDetails.string.PointsOfInterest[j].BeginOffsetMillis");
            EndOffsetMillis = jResp.IntOf("Segments[i].Categories.MatchedDetails.string.PointsOfInterest[j].EndOffsetMillis");
            j = j+1;
        }

        j = 0;
        count_j = jResp.SizeOfArray("Segments[i].Transcript.IssuesDetected");
        while (j < count_j) {
            jResp.J = j;
            BeginOffsetChar = jResp.IntOf("Segments[i].Transcript.IssuesDetected[j].CharacterOffsets.BeginOffsetChar");
            EndOffsetChar = jResp.IntOf("Segments[i].Transcript.IssuesDetected[j].CharacterOffsets.EndOffsetChar");
            j = j+1;
        }

        i = i+1;
    }

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

    // {
    //   "NextToken": "string",
    //   "Segments": [
    //     {
    //       "Categories": {
    //         "MatchedCategories": [
    //           "string"
    //         ],
    //         "MatchedDetails": {
    //           "string": {
    //             "PointsOfInterest": [
    //               {
    //                 "BeginOffsetMillis": number,
    //                 "EndOffsetMillis": number
    //               }
    //             ]
    //           }
    //         }
    //       },
    //       "Transcript": {
    //         "BeginOffsetMillis": number,
    //         "Content": "string",
    //         "EndOffsetMillis": number,
    //         "Id": "string",
    //         "IssuesDetected": [
    //           {
    //             "CharacterOffsets": {
    //               "BeginOffsetChar": number,
    //               "EndOffsetChar": number
    //             }
    //           }
    //         ],
    //         "ParticipantId": "string",
    //         "ParticipantRole": "string",
    //         "Sentiment": "string"
    //       }
    //     }
    //   ]
    // }

}

chilkatExample();