Chilkat Online Tools

ListDatasets 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: "ListDatasets")

    let sbResponseBody = CkoStringBuilder()!
    success = rest.fullRequestNoBodySb("GET", uriPath: "/datasets", 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 creationTime: Int
    var datasetName: String?
    var lastUpdateTime: Int
    var status: String?
    var j: Int
    var count_j: Int
    var actionName: String?
    var actionType: String?
    var Name: String?
    var Expression: String?

    var nextToken: String? = jResp.string(of: "nextToken")
    var i: Int = 0
    var count_i: Int = jResp.size(ofArray: "datasetSummaries").intValue
    while i < count_i {
        jResp.i = i
        creationTime = jResp.int(of: "datasetSummaries[i].creationTime").intValue
        datasetName = jResp.string(of: "datasetSummaries[i].datasetName")
        lastUpdateTime = jResp.int(of: "datasetSummaries[i].lastUpdateTime").intValue
        status = jResp.string(of: "datasetSummaries[i].status")
        j = 0
        count_j = jResp.size(ofArray: "datasetSummaries[i].actions").intValue
        while j < count_j {
            jResp.j = j
            actionName = jResp.string(of: "datasetSummaries[i].actions[j].actionName")
            actionType = jResp.string(of: "datasetSummaries[i].actions[j].actionType")
            j = j + 1
        }

        j = 0
        count_j = jResp.size(ofArray: "datasetSummaries[i].triggers").intValue
        while j < count_j {
            jResp.j = j
            Name = jResp.string(of: "datasetSummaries[i].triggers[j].dataset.name")
            Expression = jResp.string(of: "datasetSummaries[i].triggers[j].schedule.expression")
            j = j + 1
        }

        i = i + 1
    }

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

    // {
    //   "datasetSummaries": [
    //     {
    //       "actions": [
    //         {
    //           "actionName": "string",
    //           "actionType": "string"
    //         }
    //       ],
    //       "creationTime": number,
    //       "datasetName": "string",
    //       "lastUpdateTime": number,
    //       "status": "string",
    //       "triggers": [
    //         {
    //           "dataset": {
    //             "name": "string"
    //           },
    //           "schedule": {
    //             "expression": "string"
    //           }
    //         }
    //       ]
    //     }
    //   ],
    //   "nextToken": "string"
    // }

}