Chilkat Online Tools

ListDatasetContents Swift3 Example

AWS IoT Analytics

func chilkatTest() {
    // This example requires the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    let rest = CkoRest()!
    var success: Bool

    let authAws = CkoAuthAws()!
    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 = "iotanalytics"
    // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
    rest.setAuthAws(authAws)

    // URL: https://iotanalytics.us-west-2.amazonaws.com/
    // Use the same region as specified above.
    success = rest.connect("iotanalytics.us-west-2.amazonaws.com", port: 443, tls: true, autoReconnect: true)
    if success != true {
        print("ConnectFailReason: \(rest.connectFailReason.intValue)")
        print("\(rest.lastErrorText!)")
        return
    }

    rest.addHeader("Content-Type", value: "application/x-amz-json-1.1")
    rest.addHeader("X-Amz-Target", value: "ListDatasetContents")

    let sbResponseBody = CkoStringBuilder()!
    success = rest.fullRequestNoBodySb("GET", uriPath: "/datasets/{datasetName}/contents", sb: sbResponseBody)
    if success != true {
        print("\(rest.lastErrorText!)")
        return
    }

    var respStatusCode: Int = rest.responseStatusCode.intValue
    print("response status code = \(respStatusCode)")
    if respStatusCode != 200 {
        print("Response Header:")
        print("\(rest.responseHeader!)")
        print("Response Body:")
        print("\(sbResponseBody.getAsString()!)")
        return
    }

    let jResp = CkoJsonObject()!
    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 completionTime: Int
    var creationTime: Int
    var scheduleTime: Int
    var Reason: String?
    var State: String?
    var version: String?

    var nextToken: String? = jResp.string(of: "nextToken")
    var i: Int = 0
    var count_i: Int = jResp.size(ofArray: "datasetContentSummaries").intValue
    while i < count_i {
        jResp.i = i
        completionTime = jResp.int(of: "datasetContentSummaries[i].completionTime").intValue
        creationTime = jResp.int(of: "datasetContentSummaries[i].creationTime").intValue
        scheduleTime = jResp.int(of: "datasetContentSummaries[i].scheduleTime").intValue
        Reason = jResp.string(of: "datasetContentSummaries[i].status.reason")
        State = jResp.string(of: "datasetContentSummaries[i].status.state")
        version = jResp.string(of: "datasetContentSummaries[i].version")
        i = i + 1
    }

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

    // {
    //   "datasetContentSummaries": [
    //     {
    //       "completionTime": number,
    //       "creationTime": number,
    //       "scheduleTime": number,
    //       "status": {
    //         "reason": "string",
    //         "state": "string"
    //       },
    //       "version": "string"
    //     }
    //   ],
    //   "nextToken": "string"
    // }

}