GetEC2InstanceRecommendations Xojo Example
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
Dim rest As New Chilkat.Rest
Dim success As Boolean
Dim authAws As New 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 = "compute-optimizer"
// SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
success = 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,True,True)
If (success <> True) Then
System.DebugLog("ConnectFailReason: " + Str(rest.ConnectFailReason))
System.DebugLog(rest.LastErrorText)
Return
End If
// 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
Dim json As New Chilkat.JsonObject
success = json.UpdateString("accountIds[0]","string")
success = json.UpdateString("filters[0].name","string")
success = json.UpdateString("filters[0].values[0]","string")
success = json.UpdateString("instanceArns[0]","string")
success = json.UpdateInt("maxResults",123)
success = json.UpdateString("nextToken","string")
success = 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"
// ]
// }
// }
success = rest.AddHeader("Content-Type","application/x-amz-json-1.0")
success = rest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetEC2InstanceRecommendations")
Dim sbRequestBody As New Chilkat.StringBuilder
success = json.EmitSb(sbRequestBody)
Dim sbResponseBody As New Chilkat.StringBuilder
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> True) Then
System.DebugLog(rest.LastErrorText)
Return
End If
Dim respStatusCode As Int32
respStatusCode = rest.ResponseStatusCode
System.DebugLog("response status code = " + Str(respStatusCode))
If (respStatusCode <> 200) Then
System.DebugLog("Response Header:")
System.DebugLog(rest.ResponseHeader)
System.DebugLog("Response Body:")
System.DebugLog(sbResponseBody.GetAsString())
Return
End If
Dim jResp As New Chilkat.JsonObject
success = 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
Dim code As String
Dim identifier As String
Dim message As String
Dim accountId As String
Dim currentInstanceType As String
Dim currentPerformanceRisk As String
Dim EnhancedInfrastructureMetrics As String
Dim InferredWorkloadTypes As String
Dim finding As String
Dim instanceArn As String
Dim instanceName As String
Dim lastRefreshTimestamp As Int32
Dim lookBackPeriodInDays As Int32
Dim j As Int32
Dim count_j As Int32
Dim strVal As String
Dim instanceType As String
Dim migrationEffort As String
Dim performanceRisk As Int32
Dim rank As Int32
Dim v_Currency As String
Dim Value As Int32
Dim SavingsOpportunityPercentage As Int32
Dim k As Int32
Dim count_k As Int32
Dim name As String
Dim statistic As String
Dim value As Int32
Dim recommendationSourceArn As String
Dim recommendationSourceType As String
Dim nextToken As String
nextToken = jResp.StringOf("nextToken")
Dim i As Int32
i = 0
Dim count_i As Int32
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
Wend
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
Wend
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
Wend
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
Wend
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
Wend
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
Wend
j = j + 1
Wend
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
Wend
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
Wend
i = i + 1
Wend
// 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"
// }
