GetEC2InstanceRecommendations Objective-C Example
#import <CkoRest.h>
#import <CkoAuthAws.h>
#import <CkoJsonObject.h>
#import <CkoStringBuilder.h>
#import <NSString.h>
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
CkoRest *rest = [[CkoRest alloc] init];
BOOL success;
CkoAuthAws *authAws = [[CkoAuthAws alloc] init];
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" port: [NSNumber numberWithInt: 443] tls: YES autoReconnect: YES];
if (success != YES) {
NSLog(@"%@%d",@"ConnectFailReason: ",[rest.ConnectFailReason intValue]);
NSLog(@"%@",rest.LastErrorText);
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
CkoJsonObject *json = [[CkoJsonObject alloc] init];
[json UpdateString: @"accountIds[0]" value: @"string"];
[json UpdateString: @"filters[0].name" value: @"string"];
[json UpdateString: @"filters[0].values[0]" value: @"string"];
[json UpdateString: @"instanceArns[0]" value: @"string"];
[json UpdateInt: @"maxResults" value: [NSNumber numberWithInt: 123]];
[json UpdateString: @"nextToken" value: @"string"];
[json UpdateString: @"recommendationPreferences.cpuVendorArchitectures[0]" value: @"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" value: @"application/x-amz-json-1.0"];
[rest AddHeader: @"X-Amz-Target" value: @"ComputeOptimizerService.GetEC2InstanceRecommendations"];
CkoStringBuilder *sbRequestBody = [[CkoStringBuilder alloc] init];
[json EmitSb: sbRequestBody];
CkoStringBuilder *sbResponseBody = [[CkoStringBuilder alloc] init];
success = [rest FullRequestSb: @"POST" uriPath: @"/" requestBody: sbRequestBody responseBody: sbResponseBody];
if (success != YES) {
NSLog(@"%@",rest.LastErrorText);
return;
}
int respStatusCode = [rest.ResponseStatusCode intValue];
NSLog(@"%@%d",@"response status code = ",respStatusCode);
if (respStatusCode != 200) {
NSLog(@"%@",@"Response Header:");
NSLog(@"%@",rest.ResponseHeader);
NSLog(@"%@",@"Response Body:");
NSLog(@"%@",[sbResponseBody GetAsString]);
return;
}
CkoJsonObject *jResp = [[CkoJsonObject alloc] init];
[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
NSString *code = 0;
NSString *identifier = 0;
NSString *message = 0;
NSString *accountId = 0;
NSString *currentInstanceType = 0;
NSString *currentPerformanceRisk = 0;
NSString *EnhancedInfrastructureMetrics = 0;
NSString *InferredWorkloadTypes = 0;
NSString *finding = 0;
NSString *instanceArn = 0;
NSString *instanceName = 0;
int lastRefreshTimestamp;
int lookBackPeriodInDays;
int j;
int count_j;
NSString *strVal = 0;
NSString *instanceType = 0;
NSString *migrationEffort = 0;
int performanceRisk;
int rank;
NSString *v_Currency = 0;
int Value;
int SavingsOpportunityPercentage;
int k;
int count_k;
NSString *name = 0;
NSString *statistic = 0;
int value;
NSString *recommendationSourceArn = 0;
NSString *recommendationSourceType = 0;
NSString *nextToken = [jResp StringOf: @"nextToken"];
int i = 0;
int count_i = [[jResp SizeOfArray: @"errors"] intValue];
while (i < count_i) {
jResp.I = [NSNumber numberWithInt: 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"] intValue];
while (i < count_i) {
jResp.I = [NSNumber numberWithInt: 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"] intValue];
lookBackPeriodInDays = [[jResp IntOf: @"instanceRecommendations[i].lookBackPeriodInDays"] intValue];
j = 0;
count_j = [[jResp SizeOfArray: @"instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: j];
strVal = [jResp StringOf: @"instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]"];
j = j + 1;
}
j = 0;
count_j = [[jResp SizeOfArray: @"instanceRecommendations[i].findingReasonCodes"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: j];
strVal = [jResp StringOf: @"instanceRecommendations[i].findingReasonCodes[j]"];
j = j + 1;
}
j = 0;
count_j = [[jResp SizeOfArray: @"instanceRecommendations[i].inferredWorkloadTypes"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: j];
strVal = [jResp StringOf: @"instanceRecommendations[i].inferredWorkloadTypes[j]"];
j = j + 1;
}
j = 0;
count_j = [[jResp SizeOfArray: @"instanceRecommendations[i].recommendationOptions"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: 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"] intValue];
rank = [[jResp IntOf: @"instanceRecommendations[i].recommendationOptions[j].rank"] intValue];
v_Currency = [jResp StringOf: @"instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.currency"];
Value = [[jResp IntOf: @"instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.value"] intValue];
SavingsOpportunityPercentage = [[jResp IntOf: @"instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.savingsOpportunityPercentage"] intValue];
k = 0;
count_k = [[jResp SizeOfArray: @"instanceRecommendations[i].recommendationOptions[j].platformDifferences"] intValue];
while (k < count_k) {
jResp.K = [NSNumber numberWithInt: k];
strVal = [jResp StringOf: @"instanceRecommendations[i].recommendationOptions[j].platformDifferences[k]"];
k = k + 1;
}
k = 0;
count_k = [[jResp SizeOfArray: @"instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics"] intValue];
while (k < count_k) {
jResp.K = [NSNumber numberWithInt: 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"] intValue];
k = k + 1;
}
j = j + 1;
}
j = 0;
count_j = [[jResp SizeOfArray: @"instanceRecommendations[i].recommendationSources"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: 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"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: 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"] intValue];
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"
// }
