GetEC2InstanceRecommendations phpAx Example
<?php
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
$rest = new COM("Chilkat_9_5_0.Rest");
$authAws = new COM("Chilkat_9_5_0.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 = 'compute-optimizer';
// SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
$rest->SetAuthAws($authAws);
// URL: https://compute-optimizer.us-west-2.amazonaws.com/
// Use the same region as specified above.
$success = $rest->Connect('compute-optimizer.us-west-2.amazonaws.com',443,1,1);
if ($success != 1) {
print 'ConnectFailReason: ' . $rest->ConnectFailReason . "\n";
print $rest->LastErrorText . "\n";
exit;
}
// The following code creates the JSON request body.
// The JSON created by this code is shown below.
// Use this online tool to generate code from sample JSON:
// Generate Code to Create JSON
$json = new COM("Chilkat_9_5_0.JsonObject");
$json->UpdateString('accountIds[0]','string');
$json->UpdateString('filters[0].name','string');
$json->UpdateString('filters[0].values[0]','string');
$json->UpdateString('instanceArns[0]','string');
$json->UpdateInt('maxResults',123);
$json->UpdateString('nextToken','string');
$json->UpdateString('recommendationPreferences.cpuVendorArchitectures[0]','string');
// The JSON request body created by the above code:
// {
// "accountIds": [
// "string"
// ],
// "filters": [
// {
// "name": "string",
// "values": [
// "string"
// ]
// }
// ],
// "instanceArns": [
// "string"
// ],
// "maxResults": number,
// "nextToken": "string",
// "recommendationPreferences": {
// "cpuVendorArchitectures": [
// "string"
// ]
// }
// }
$rest->AddHeader('Content-Type','application/x-amz-json-1.0');
$rest->AddHeader('X-Amz-Target','ComputeOptimizerService.GetEC2InstanceRecommendations');
$sbRequestBody = new COM("Chilkat_9_5_0.StringBuilder");
$json->EmitSb($sbRequestBody);
$sbResponseBody = new COM("Chilkat_9_5_0.StringBuilder");
$success = $rest->FullRequestSb('POST','/',$sbRequestBody,$sbResponseBody);
if ($success != 1) {
print $rest->LastErrorText . "\n";
exit;
}
$respStatusCode = $rest->ResponseStatusCode;
print 'response status code = ' . $respStatusCode . "\n";
if ($respStatusCode != 200) {
print 'Response Header:' . "\n";
print $rest->ResponseHeader . "\n";
print 'Response Body:' . "\n";
print $sbResponseBody->getAsString() . "\n";
exit;
}
$jResp = new COM("Chilkat_9_5_0.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 = $jResp->SizeOfArray('errors');
while ($i < $count_i) {
$jResp->I = $i;
$code = $jResp->stringOf('errors[i].code');
$identifier = $jResp->stringOf('errors[i].identifier');
$message = $jResp->stringOf('errors[i].message');
$i = $i + 1;
}
$i = 0;
$count_i = $jResp->SizeOfArray('instanceRecommendations');
while ($i < $count_i) {
$jResp->I = $i;
$accountId = $jResp->stringOf('instanceRecommendations[i].accountId');
$currentInstanceType = $jResp->stringOf('instanceRecommendations[i].currentInstanceType');
$currentPerformanceRisk = $jResp->stringOf('instanceRecommendations[i].currentPerformanceRisk');
$EnhancedInfrastructureMetrics = $jResp->stringOf('instanceRecommendations[i].effectiveRecommendationPreferences.enhancedInfrastructureMetrics');
$InferredWorkloadTypes = $jResp->stringOf('instanceRecommendations[i].effectiveRecommendationPreferences.inferredWorkloadTypes');
$finding = $jResp->stringOf('instanceRecommendations[i].finding');
$instanceArn = $jResp->stringOf('instanceRecommendations[i].instanceArn');
$instanceName = $jResp->stringOf('instanceRecommendations[i].instanceName');
$lastRefreshTimestamp = $jResp->IntOf('instanceRecommendations[i].lastRefreshTimestamp');
$lookBackPeriodInDays = $jResp->IntOf('instanceRecommendations[i].lookBackPeriodInDays');
$j = 0;
$count_j = $jResp->SizeOfArray('instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures');
while ($j < $count_j) {
$jResp->J = $j;
$strVal = $jResp->stringOf('instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]');
$j = $j + 1;
}
$j = 0;
$count_j = $jResp->SizeOfArray('instanceRecommendations[i].findingReasonCodes');
while ($j < $count_j) {
$jResp->J = $j;
$strVal = $jResp->stringOf('instanceRecommendations[i].findingReasonCodes[j]');
$j = $j + 1;
}
$j = 0;
$count_j = $jResp->SizeOfArray('instanceRecommendations[i].inferredWorkloadTypes');
while ($j < $count_j) {
$jResp->J = $j;
$strVal = $jResp->stringOf('instanceRecommendations[i].inferredWorkloadTypes[j]');
$j = $j + 1;
}
$j = 0;
$count_j = $jResp->SizeOfArray('instanceRecommendations[i].recommendationOptions');
while ($j < $count_j) {
$jResp->J = $j;
$instanceType = $jResp->stringOf('instanceRecommendations[i].recommendationOptions[j].instanceType');
$migrationEffort = $jResp->stringOf('instanceRecommendations[i].recommendationOptions[j].migrationEffort');
$performanceRisk = $jResp->IntOf('instanceRecommendations[i].recommendationOptions[j].performanceRisk');
$rank = $jResp->IntOf('instanceRecommendations[i].recommendationOptions[j].rank');
$v_Currency = $jResp->stringOf('instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.currency');
$Value = $jResp->IntOf('instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.value');
$SavingsOpportunityPercentage = $jResp->IntOf('instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.savingsOpportunityPercentage');
$k = 0;
$count_k = $jResp->SizeOfArray('instanceRecommendations[i].recommendationOptions[j].platformDifferences');
while ($k < $count_k) {
$jResp->K = $k;
$strVal = $jResp->stringOf('instanceRecommendations[i].recommendationOptions[j].platformDifferences[k]');
$k = $k + 1;
}
$k = 0;
$count_k = $jResp->SizeOfArray('instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics');
while ($k < $count_k) {
$jResp->K = $k;
$name = $jResp->stringOf('instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].name');
$statistic = $jResp->stringOf('instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].statistic');
$value = $jResp->IntOf('instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].value');
$k = $k + 1;
}
$j = $j + 1;
}
$j = 0;
$count_j = $jResp->SizeOfArray('instanceRecommendations[i].recommendationSources');
while ($j < $count_j) {
$jResp->J = $j;
$recommendationSourceArn = $jResp->stringOf('instanceRecommendations[i].recommendationSources[j].recommendationSourceArn');
$recommendationSourceType = $jResp->stringOf('instanceRecommendations[i].recommendationSources[j].recommendationSourceType');
$j = $j + 1;
}
$j = 0;
$count_j = $jResp->SizeOfArray('instanceRecommendations[i].utilizationMetrics');
while ($j < $count_j) {
$jResp->J = $j;
$name = $jResp->stringOf('instanceRecommendations[i].utilizationMetrics[j].name');
$statistic = $jResp->stringOf('instanceRecommendations[i].utilizationMetrics[j].statistic');
$value = $jResp->IntOf('instanceRecommendations[i].utilizationMetrics[j].value');
$j = $j + 1;
}
$i = $i + 1;
}
// A sample JSON response body parsed by the above code:
// {
// "errors": [
// {
// "code": "string",
// "identifier": "string",
// "message": "string"
// }
// ],
// "instanceRecommendations": [
// {
// "accountId": "string",
// "currentInstanceType": "string",
// "currentPerformanceRisk": "string",
// "effectiveRecommendationPreferences": {
// "cpuVendorArchitectures": [
// "string"
// ],
// "enhancedInfrastructureMetrics": "string",
// "inferredWorkloadTypes": "string"
// },
// "finding": "string",
// "findingReasonCodes": [
// "string"
// ],
// "inferredWorkloadTypes": [
// "string"
// ],
// "instanceArn": "string",
// "instanceName": "string",
// "lastRefreshTimestamp": number,
// "lookBackPeriodInDays": number,
// "recommendationOptions": [
// {
// "instanceType": "string",
// "migrationEffort": "string",
// "performanceRisk": number,
// "platformDifferences": [
// "string"
// ],
// "projectedUtilizationMetrics": [
// {
// "name": "string",
// "statistic": "string",
// "value": number
// }
// ],
// "rank": number,
// "savingsOpportunity": {
// "estimatedMonthlySavings": {
// "currency": "string",
// "value": number
// },
// "savingsOpportunityPercentage": number
// }
// }
// ],
// "recommendationSources": [
// {
// "recommendationSourceArn": "string",
// "recommendationSourceType": "string"
// }
// ],
// "utilizationMetrics": [
// {
// "name": "string",
// "statistic": "string",
// "value": number
// }
// ]
// }
// ],
// "nextToken": "string"
// }
?>
