GetEC2InstanceRecommendations Go Example
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
rest := chilkat.NewRest()
var success bool
authAws := chilkat.NewAuthAws()
authAws.SetAccessKey("AWS_ACCESS_KEY")
authAws.SetSecretKey("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.SetRegion("us-west-2")
authAws.SetServiceName("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,true,true)
if success != true {
fmt.Println("ConnectFailReason: ", rest.ConnectFailReason())
fmt.Println(rest.LastErrorText())
rest.DisposeRest()
authAws.DisposeAuthAws()
return
}
// 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 := chilkat.NewJsonObject()
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 := chilkat.NewStringBuilder()
json.EmitSb(sbRequestBody)
sbResponseBody := chilkat.NewStringBuilder()
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
if success != true {
fmt.Println(rest.LastErrorText())
rest.DisposeRest()
authAws.DisposeAuthAws()
json.DisposeJsonObject()
sbRequestBody.DisposeStringBuilder()
sbResponseBody.DisposeStringBuilder()
return
}
respStatusCode := rest.ResponseStatusCode()
fmt.Println("response status code = ", respStatusCode)
if respStatusCode != 200 {
fmt.Println("Response Header:")
fmt.Println(rest.ResponseHeader())
fmt.Println("Response Body:")
fmt.Println(*sbResponseBody.GetAsString())
rest.DisposeRest()
authAws.DisposeAuthAws()
json.DisposeJsonObject()
sbRequestBody.DisposeStringBuilder()
sbResponseBody.DisposeStringBuilder()
return
}
jResp := chilkat.NewJsonObject()
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
code_DECLARATION
identifier_DECLARATION
message_DECLARATION
accountId_DECLARATION
currentInstanceType_DECLARATION
currentPerformanceRisk_DECLARATION
EnhancedInfrastructureMetrics_DECLARATION
InferredWorkloadTypes_DECLARATION
finding_DECLARATION
instanceArn_DECLARATION
instanceName_DECLARATION
var lastRefreshTimestamp int
var lookBackPeriodInDays int
var j int
var count_j int
strVal_DECLARATION
instanceType_DECLARATION
migrationEffort_DECLARATION
var performanceRisk int
var rank int
v_Currency_DECLARATION
var Value int
var SavingsOpportunityPercentage int
var k int
var count_k int
name_DECLARATION
statistic_DECLARATION
var value int
recommendationSourceArn_DECLARATION
recommendationSourceType_DECLARATION
nextToken := jResp.StringOf("nextToken")
i := 0
count_i := jResp.SizeOfArray("errors")
for i < count_i {
jResp.SetI(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")
for i < count_i {
jResp.SetI(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")
for j < count_j {
jResp.SetJ(j)
strVal = *jResp.StringOf("instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].findingReasonCodes")
for j < count_j {
jResp.SetJ(j)
strVal = *jResp.StringOf("instanceRecommendations[i].findingReasonCodes[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].inferredWorkloadTypes")
for j < count_j {
jResp.SetJ(j)
strVal = *jResp.StringOf("instanceRecommendations[i].inferredWorkloadTypes[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].recommendationOptions")
for j < count_j {
jResp.SetJ(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")
for k < count_k {
jResp.SetK(k)
strVal = *jResp.StringOf("instanceRecommendations[i].recommendationOptions[j].platformDifferences[k]")
k = k + 1
}
k = 0
count_k = jResp.SizeOfArray("instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics")
for k < count_k {
jResp.SetK(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")
for j < count_j {
jResp.SetJ(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")
for j < count_j {
jResp.SetJ(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"
// }
rest.DisposeRest()
authAws.DisposeAuthAws()
json.DisposeJsonObject()
sbRequestBody.DisposeStringBuilder()
sbResponseBody.DisposeStringBuilder()
jResp.DisposeJsonObject()
