Chilkat Online Tools

DescribeDataset 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: "DescribeDataset")

    let sbResponseBody = CkoStringBuilder()!
    success = rest.fullRequestNoBodySb("GET", uriPath: "/datasets/{datasetName}", 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 actionName: String?
    var ExecutionRoleArn: String?
    var Image: String?
    var ComputeType: String?
    var VolumeSizeInGB: Int
    var SqlQuery: String?
    var j: Int
    var count_j: Int
    var DatasetName: String?
    var doubleValue: Int
    var name: String?
    var FileName: String?
    var stringValue: String?
    var OffsetSeconds: Int
    var TimeExpression: String?
    var InputName: String?
    var RoleArn: String?
    var Bucket: String?
    var DatabaseName: String?
    var TableName: String?
    var Key: String?
    var S3DestinationConfigurationRoleArn: String?
    var entryName: String?
    var TimeoutInMinutes: Int
    var ruleName: String?
    var datasetName: String?
    var Expression: String?

    var Arn: String? = jResp.string(of: "dataset.arn")
    var CreationTime: Int = jResp.int(of: "dataset.creationTime").intValue
    var LastUpdateTime: Int = jResp.int(of: "dataset.lastUpdateTime").intValue
    var Name: String? = jResp.string(of: "dataset.name")
    var NumberOfDays: Int = jResp.int(of: "dataset.retentionPeriod.numberOfDays").intValue
    var Unlimited: Int = jResp.int(of: "dataset.retentionPeriod.unlimited").intValue
    var Status: String? = jResp.string(of: "dataset.status")
    var MaxVersions: Int = jResp.int(of: "dataset.versioningConfiguration.maxVersions").intValue
    var VersioningConfigurationUnlimited: Int = jResp.int(of: "dataset.versioningConfiguration.unlimited").intValue
    var i: Int = 0
    var count_i: Int = jResp.size(ofArray: "dataset.actions").intValue
    while i < count_i {
        jResp.i = i
        actionName = jResp.string(of: "dataset.actions[i].actionName")
        ExecutionRoleArn = jResp.string(of: "dataset.actions[i].containerAction.executionRoleArn")
        Image = jResp.string(of: "dataset.actions[i].containerAction.image")
        ComputeType = jResp.string(of: "dataset.actions[i].containerAction.resourceConfiguration.computeType")
        VolumeSizeInGB = jResp.int(of: "dataset.actions[i].containerAction.resourceConfiguration.volumeSizeInGB").intValue
        SqlQuery = jResp.string(of: "dataset.actions[i].queryAction.sqlQuery")
        j = 0
        count_j = jResp.size(ofArray: "dataset.actions[i].containerAction.variables").intValue
        while j < count_j {
            jResp.j = j
            DatasetName = jResp.string(of: "dataset.actions[i].containerAction.variables[j].datasetContentVersionValue.datasetName")
            doubleValue = jResp.int(of: "dataset.actions[i].containerAction.variables[j].doubleValue").intValue
            name = jResp.string(of: "dataset.actions[i].containerAction.variables[j].name")
            FileName = jResp.string(of: "dataset.actions[i].containerAction.variables[j].outputFileUriValue.fileName")
            stringValue = jResp.string(of: "dataset.actions[i].containerAction.variables[j].stringValue")
            j = j + 1
        }

        j = 0
        count_j = jResp.size(ofArray: "dataset.actions[i].queryAction.filters").intValue
        while j < count_j {
            jResp.j = j
            OffsetSeconds = jResp.int(of: "dataset.actions[i].queryAction.filters[j].deltaTime.offsetSeconds").intValue
            TimeExpression = jResp.string(of: "dataset.actions[i].queryAction.filters[j].deltaTime.timeExpression")
            j = j + 1
        }

        i = i + 1
    }

    i = 0
    count_i = jResp.size(ofArray: "dataset.contentDeliveryRules").intValue
    while i < count_i {
        jResp.i = i
        InputName = jResp.string(of: "dataset.contentDeliveryRules[i].destination.iotEventsDestinationConfiguration.inputName")
        RoleArn = jResp.string(of: "dataset.contentDeliveryRules[i].destination.iotEventsDestinationConfiguration.roleArn")
        Bucket = jResp.string(of: "dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.bucket")
        DatabaseName = jResp.string(of: "dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.glueConfiguration.databaseName")
        TableName = jResp.string(of: "dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.glueConfiguration.tableName")
        Key = jResp.string(of: "dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.key")
        S3DestinationConfigurationRoleArn = jResp.string(of: "dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.roleArn")
        entryName = jResp.string(of: "dataset.contentDeliveryRules[i].entryName")
        i = i + 1
    }

    i = 0
    count_i = jResp.size(ofArray: "dataset.lateDataRules").intValue
    while i < count_i {
        jResp.i = i
        TimeoutInMinutes = jResp.int(of: "dataset.lateDataRules[i].ruleConfiguration.deltaTimeSessionWindowConfiguration.timeoutInMinutes").intValue
        ruleName = jResp.string(of: "dataset.lateDataRules[i].ruleName")
        i = i + 1
    }

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

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

    // {
    //   "dataset": {
    //     "actions": [
    //       {
    //         "actionName": "string",
    //         "containerAction": {
    //           "executionRoleArn": "string",
    //           "image": "string",
    //           "resourceConfiguration": {
    //             "computeType": "string",
    //             "volumeSizeInGB": number
    //           },
    //           "variables": [
    //             {
    //               "datasetContentVersionValue": {
    //                 "datasetName": "string"
    //               },
    //               "doubleValue": number,
    //               "name": "string",
    //               "outputFileUriValue": {
    //                 "fileName": "string"
    //               },
    //               "stringValue": "string"
    //             }
    //           ]
    //         },
    //         "queryAction": {
    //           "filters": [
    //             {
    //               "deltaTime": {
    //                 "offsetSeconds": number,
    //                 "timeExpression": "string"
    //               }
    //             }
    //           ],
    //           "sqlQuery": "string"
    //         }
    //       }
    //     ],
    //     "arn": "string",
    //     "contentDeliveryRules": [
    //       {
    //         "destination": {
    //           "iotEventsDestinationConfiguration": {
    //             "inputName": "string",
    //             "roleArn": "string"
    //           },
    //           "s3DestinationConfiguration": {
    //             "bucket": "string",
    //             "glueConfiguration": {
    //               "databaseName": "string",
    //               "tableName": "string"
    //             },
    //             "key": "string",
    //             "roleArn": "string"
    //           }
    //         },
    //         "entryName": "string"
    //       }
    //     ],
    //     "creationTime": number,
    //     "lastUpdateTime": number,
    //     "lateDataRules": [
    //       {
    //         "ruleConfiguration": {
    //           "deltaTimeSessionWindowConfiguration": {
    //             "timeoutInMinutes": number
    //           }
    //         },
    //         "ruleName": "string"
    //       }
    //     ],
    //     "name": "string",
    //     "retentionPeriod": {
    //       "numberOfDays": number,
    //       "unlimited": boolean
    //     },
    //     "status": "string",
    //     "triggers": [
    //       {
    //         "dataset": {
    //           "name": "string"
    //         },
    //         "schedule": {
    //           "expression": "string"
    //         }
    //       }
    //     ],
    //     "versioningConfiguration": {
    //       "maxVersions": number,
    //       "unlimited": boolean
    //     }
    //   }
    // }

}