Chilkat Online Tools

ListDatasets Powershell Example

AWS IoT Analytics

Add-Type -Path "C:\chilkat\ChilkatDotNet47-9.5.0-x64\ChilkatDotNet47.dll"

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

$rest = New-Object Chilkat.Rest

$authAws = New-Object 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 = "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 -ne $true) {
    $("ConnectFailReason: " + $rest.ConnectFailReason)
    $($rest.LastErrorText)
    exit
}

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

$sbResponseBody = New-Object Chilkat.StringBuilder
$success = $rest.FullRequestNoBodySb("GET","/datasets",$sbResponseBody)
if ($success -ne $true) {
    $($rest.LastErrorText)
    exit
}

$respStatusCode = $rest.ResponseStatusCode
$("response status code = " + $respStatusCode)
if ($respStatusCode -ne 200) {
    $("Response Header:")
    $($rest.ResponseHeader)
    $("Response Body:")
    $($sbResponseBody.GetAsString())
    exit
}

$jResp = New-Object 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

$nextToken = $jResp.StringOf("nextToken")
$i = 0
$count_i = $jResp.SizeOfArray("datasetSummaries")
while ($i -lt $count_i) {
    $jResp.I = $i
    $creationTime = $jResp.IntOf("datasetSummaries[i].creationTime")
    $datasetName = $jResp.StringOf("datasetSummaries[i].datasetName")
    $lastUpdateTime = $jResp.IntOf("datasetSummaries[i].lastUpdateTime")
    $status = $jResp.StringOf("datasetSummaries[i].status")
    $j = 0
    $count_j = $jResp.SizeOfArray("datasetSummaries[i].actions")
    while ($j -lt $count_j) {
        $jResp.J = $j
        $actionName = $jResp.StringOf("datasetSummaries[i].actions[j].actionName")
        $actionType = $jResp.StringOf("datasetSummaries[i].actions[j].actionType")
        $j = $j + 1
    }

    $j = 0
    $count_j = $jResp.SizeOfArray("datasetSummaries[i].triggers")
    while ($j -lt $count_j) {
        $jResp.J = $j
        $Name = $jResp.StringOf("datasetSummaries[i].triggers[j].dataset.name")
        $Expression = $jResp.StringOf("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"
# }