Chilkat Online Tools

ListDatasets Perl Example

AWS IoT Analytics

use 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 = $rest->Connect("iotanalytics.us-west-2.amazonaws.com",443,1,1);
if ($success != 1) {
    print "ConnectFailReason: " . $rest->get_ConnectFailReason() . "\r\n";
    print $rest->lastErrorText() . "\r\n";
    exit;
}

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

$sbResponseBody = chilkat::CkStringBuilder->new();
$success = $rest->FullRequestNoBodySb("GET","/datasets",$sbResponseBody);
if ($success != 1) {
    print $rest->lastErrorText() . "\r\n";
    exit;
}

$respStatusCode = $rest->get_ResponseStatusCode();
print "response status code = " . $respStatusCode . "\r\n";
if ($respStatusCode != 200) {
    print "Response Header:" . "\r\n";
    print $rest->responseHeader() . "\r\n";
    print "Response Body:" . "\r\n";
    print $sbResponseBody->getAsString() . "\r\n";
    exit;
}

$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

$nextToken = $jResp->stringOf("nextToken");
$i = 0;
$count_i = $jResp->SizeOfArray("datasetSummaries");
while ($i < $count_i) {
    $jResp->put_I($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 < $count_j) {
        $jResp->put_J($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 < $count_j) {
        $jResp->put_J($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"
# }