Chilkat Online Tools

DescribeDataset Ruby Example

AWS IoT Analytics

require 'chilkat'

# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

rest = Chilkat::CkRest.new()

authAws = Chilkat::CkAuthAws.new()
authAws.put_AccessKey("AWS_ACCESS_KEY")
authAws.put_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.put_Region("us-west-2")
authAws.put_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",443,true,true)
if (success != true)
    print "ConnectFailReason: " + rest.get_ConnectFailReason().to_s() + "\n";
    print rest.lastErrorText() + "\n";
    exit
end

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

sbResponseBody = Chilkat::CkStringBuilder.new()
success = rest.FullRequestNoBodySb("GET","/datasets/{datasetName}",sbResponseBody)
if (success != true)
    print rest.lastErrorText() + "\n";
    exit
end

respStatusCode = rest.get_ResponseStatusCode()
print "response status code = " + respStatusCode.to_s() + "\n";
if (respStatusCode != 200)
    print "Response Header:" + "\n";
    print rest.responseHeader() + "\n";
    print "Response Body:" + "\n";
    print sbResponseBody.getAsString() + "\n";
    exit
end

jResp = Chilkat::CkJsonObject.new()
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

Arn = jResp.stringOf("dataset.arn")
CreationTime = jResp.IntOf("dataset.creationTime")
LastUpdateTime = jResp.IntOf("dataset.lastUpdateTime")
Name = jResp.stringOf("dataset.name")
NumberOfDays = jResp.IntOf("dataset.retentionPeriod.numberOfDays")
Unlimited = jResp.IntOf("dataset.retentionPeriod.unlimited")
Status = jResp.stringOf("dataset.status")
MaxVersions = jResp.IntOf("dataset.versioningConfiguration.maxVersions")
VersioningConfigurationUnlimited = jResp.IntOf("dataset.versioningConfiguration.unlimited")
i = 0
count_i = jResp.SizeOfArray("dataset.actions")
while i < count_i
    jResp.put_I(i)
    actionName = jResp.stringOf("dataset.actions[i].actionName")
    ExecutionRoleArn = jResp.stringOf("dataset.actions[i].containerAction.executionRoleArn")
    Image = jResp.stringOf("dataset.actions[i].containerAction.image")
    ComputeType = jResp.stringOf("dataset.actions[i].containerAction.resourceConfiguration.computeType")
    VolumeSizeInGB = jResp.IntOf("dataset.actions[i].containerAction.resourceConfiguration.volumeSizeInGB")
    SqlQuery = jResp.stringOf("dataset.actions[i].queryAction.sqlQuery")
    j = 0
    count_j = jResp.SizeOfArray("dataset.actions[i].containerAction.variables")
    while j < count_j
        jResp.put_J(j)
        DatasetName = jResp.stringOf("dataset.actions[i].containerAction.variables[j].datasetContentVersionValue.datasetName")
        doubleValue = jResp.IntOf("dataset.actions[i].containerAction.variables[j].doubleValue")
        name = jResp.stringOf("dataset.actions[i].containerAction.variables[j].name")
        FileName = jResp.stringOf("dataset.actions[i].containerAction.variables[j].outputFileUriValue.fileName")
        stringValue = jResp.stringOf("dataset.actions[i].containerAction.variables[j].stringValue")
        j = j + 1
    end
    j = 0
    count_j = jResp.SizeOfArray("dataset.actions[i].queryAction.filters")
    while j < count_j
        jResp.put_J(j)
        OffsetSeconds = jResp.IntOf("dataset.actions[i].queryAction.filters[j].deltaTime.offsetSeconds")
        TimeExpression = jResp.stringOf("dataset.actions[i].queryAction.filters[j].deltaTime.timeExpression")
        j = j + 1
    end
    i = i + 1
end
i = 0
count_i = jResp.SizeOfArray("dataset.contentDeliveryRules")
while i < count_i
    jResp.put_I(i)
    InputName = jResp.stringOf("dataset.contentDeliveryRules[i].destination.iotEventsDestinationConfiguration.inputName")
    RoleArn = jResp.stringOf("dataset.contentDeliveryRules[i].destination.iotEventsDestinationConfiguration.roleArn")
    Bucket = jResp.stringOf("dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.bucket")
    DatabaseName = jResp.stringOf("dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.glueConfiguration.databaseName")
    TableName = jResp.stringOf("dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.glueConfiguration.tableName")
    Key = jResp.stringOf("dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.key")
    S3DestinationConfigurationRoleArn = jResp.stringOf("dataset.contentDeliveryRules[i].destination.s3DestinationConfiguration.roleArn")
    entryName = jResp.stringOf("dataset.contentDeliveryRules[i].entryName")
    i = i + 1
end
i = 0
count_i = jResp.SizeOfArray("dataset.lateDataRules")
while i < count_i
    jResp.put_I(i)
    TimeoutInMinutes = jResp.IntOf("dataset.lateDataRules[i].ruleConfiguration.deltaTimeSessionWindowConfiguration.timeoutInMinutes")
    ruleName = jResp.stringOf("dataset.lateDataRules[i].ruleName")
    i = i + 1
end
i = 0
count_i = jResp.SizeOfArray("dataset.triggers")
while i < count_i
    jResp.put_I(i)
    datasetName = jResp.stringOf("dataset.triggers[i].dataset.name")
    Expression = jResp.stringOf("dataset.triggers[i].schedule.expression")
    i = i + 1
end

# 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
#     }
#   }
# }