GetEC2InstanceRecommendations delphiAx Example
var
rest: TChilkatRest;
success: Integer;
authAws: TChilkatAuthAws;
json: TChilkatJsonObject;
sbRequestBody: TChilkatStringBuilder;
sbResponseBody: TChilkatStringBuilder;
respStatusCode: Integer;
jResp: TChilkatJsonObject;
code: WideString;
identifier: WideString;
message: WideString;
accountId: WideString;
currentInstanceType: WideString;
currentPerformanceRisk: WideString;
EnhancedInfrastructureMetrics: WideString;
InferredWorkloadTypes: WideString;
finding: WideString;
instanceArn: WideString;
instanceName: WideString;
lastRefreshTimestamp: Integer;
lookBackPeriodInDays: Integer;
j: Integer;
count_j: Integer;
strVal: WideString;
instanceType: WideString;
migrationEffort: WideString;
performanceRisk: Integer;
rank: Integer;
v_Currency: WideString;
Value: Integer;
SavingsOpportunityPercentage: Integer;
k: Integer;
count_k: Integer;
name: WideString;
statistic: WideString;
value: Integer;
recommendationSourceArn: WideString;
recommendationSourceType: WideString;
nextToken: WideString;
i: Integer;
count_i: Integer;
begin
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
rest := TChilkatRest.Create(Self);
authAws := TChilkatAuthAws.Create(Self);
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.ControlInterface);
// 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) then
begin
Memo1.Lines.Add('ConnectFailReason: ' + IntToStr(rest.ConnectFailReason));
Memo1.Lines.Add(rest.LastErrorText);
Exit;
end;
// 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 := TChilkatJsonObject.Create(Self);
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 := TChilkatStringBuilder.Create(Self);
json.EmitSb(sbRequestBody.ControlInterface);
sbResponseBody := TChilkatStringBuilder.Create(Self);
success := rest.FullRequestSb('POST','/',sbRequestBody.ControlInterface,sbResponseBody.ControlInterface);
if (success <> 1) then
begin
Memo1.Lines.Add(rest.LastErrorText);
Exit;
end;
respStatusCode := rest.ResponseStatusCode;
Memo1.Lines.Add('response status code = ' + IntToStr(respStatusCode));
if (respStatusCode <> 200) then
begin
Memo1.Lines.Add('Response Header:');
Memo1.Lines.Add(rest.ResponseHeader);
Memo1.Lines.Add('Response Body:');
Memo1.Lines.Add(sbResponseBody.GetAsString());
Exit;
end;
jResp := TChilkatJsonObject.Create(Self);
jResp.LoadSb(sbResponseBody.ControlInterface);
// 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 do
begin
jResp.I := i;
code := jResp.StringOf('errors[i].code');
identifier := jResp.StringOf('errors[i].identifier');
message := jResp.StringOf('errors[i].message');
i := i + 1;
end;
i := 0;
count_i := jResp.SizeOfArray('instanceRecommendations');
while i < count_i do
begin
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 do
begin
jResp.J := j;
strVal := jResp.StringOf('instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]');
j := j + 1;
end;
j := 0;
count_j := jResp.SizeOfArray('instanceRecommendations[i].findingReasonCodes');
while j < count_j do
begin
jResp.J := j;
strVal := jResp.StringOf('instanceRecommendations[i].findingReasonCodes[j]');
j := j + 1;
end;
j := 0;
count_j := jResp.SizeOfArray('instanceRecommendations[i].inferredWorkloadTypes');
while j < count_j do
begin
jResp.J := j;
strVal := jResp.StringOf('instanceRecommendations[i].inferredWorkloadTypes[j]');
j := j + 1;
end;
j := 0;
count_j := jResp.SizeOfArray('instanceRecommendations[i].recommendationOptions');
while j < count_j do
begin
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 do
begin
jResp.K := k;
strVal := jResp.StringOf('instanceRecommendations[i].recommendationOptions[j].platformDifferences[k]');
k := k + 1;
end;
k := 0;
count_k := jResp.SizeOfArray('instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics');
while k < count_k do
begin
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;
end;
j := j + 1;
end;
j := 0;
count_j := jResp.SizeOfArray('instanceRecommendations[i].recommendationSources');
while j < count_j do
begin
jResp.J := j;
recommendationSourceArn := jResp.StringOf('instanceRecommendations[i].recommendationSources[j].recommendationSourceArn');
recommendationSourceType := jResp.StringOf('instanceRecommendations[i].recommendationSources[j].recommendationSourceType');
j := j + 1;
end;
j := 0;
count_j := jResp.SizeOfArray('instanceRecommendations[i].utilizationMetrics');
while j < count_j do
begin
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;
end;
i := i + 1;
end;
// 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"
// }
