GetLambdaFunctionRecommendations 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: @"functionArns[0]" value: @"string"];
[json UpdateInt: @"maxResults" value: [NSNumber numberWithInt: 123]];
[json UpdateString: @"nextToken" value: @"string"];
// The JSON request body created by the above code:
// {
// "accountIds": [
// "string"
// ],
// "filters": [
// {
// "name": "string",
// "values": [
// "string"
// ]
// }
// ],
// "functionArns": [
// "string"
// ],
// "maxResults": number,
// "nextToken": "string"
// }
[rest AddHeader: @"Content-Type" value: @"application/x-amz-json-1.0"];
[rest AddHeader: @"X-Amz-Target" value: @"ComputeOptimizerService.GetLambdaFunctionRecommendations"];
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 *accountId = 0;
int currentMemorySize;
NSString *currentPerformanceRisk = 0;
NSString *finding = 0;
NSString *functionArn = 0;
NSString *functionVersion = 0;
int lastRefreshTimestamp;
int lookbackPeriodInDays;
int numberOfInvocations;
int j;
int count_j;
NSString *strVal = 0;
int memorySize;
int rank;
NSString *v_Currency = 0;
int Value;
int SavingsOpportunityPercentage;
int k;
int count_k;
NSString *name = 0;
NSString *statistic = 0;
int value;
NSString *nextToken = [jResp StringOf: @"nextToken"];
int i = 0;
int count_i = [[jResp SizeOfArray: @"lambdaFunctionRecommendations"] intValue];
while (i < count_i) {
jResp.I = [NSNumber numberWithInt: i];
accountId = [jResp StringOf: @"lambdaFunctionRecommendations[i].accountId"];
currentMemorySize = [[jResp IntOf: @"lambdaFunctionRecommendations[i].currentMemorySize"] intValue];
currentPerformanceRisk = [jResp StringOf: @"lambdaFunctionRecommendations[i].currentPerformanceRisk"];
finding = [jResp StringOf: @"lambdaFunctionRecommendations[i].finding"];
functionArn = [jResp StringOf: @"lambdaFunctionRecommendations[i].functionArn"];
functionVersion = [jResp StringOf: @"lambdaFunctionRecommendations[i].functionVersion"];
lastRefreshTimestamp = [[jResp IntOf: @"lambdaFunctionRecommendations[i].lastRefreshTimestamp"] intValue];
lookbackPeriodInDays = [[jResp IntOf: @"lambdaFunctionRecommendations[i].lookbackPeriodInDays"] intValue];
numberOfInvocations = [[jResp IntOf: @"lambdaFunctionRecommendations[i].numberOfInvocations"] intValue];
j = 0;
count_j = [[jResp SizeOfArray: @"lambdaFunctionRecommendations[i].findingReasonCodes"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: j];
strVal = [jResp StringOf: @"lambdaFunctionRecommendations[i].findingReasonCodes[j]"];
j = j + 1;
}
j = 0;
count_j = [[jResp SizeOfArray: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: j];
memorySize = [[jResp IntOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].memorySize"] intValue];
rank = [[jResp IntOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].rank"] intValue];
v_Currency = [jResp StringOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.currency"];
Value = [[jResp IntOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.value"] intValue];
SavingsOpportunityPercentage = [[jResp IntOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].savingsOpportunity.savingsOpportunityPercentage"] intValue];
k = 0;
count_k = [[jResp SizeOfArray: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].projectedUtilizationMetrics"] intValue];
while (k < count_k) {
jResp.K = [NSNumber numberWithInt: k];
name = [jResp StringOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].projectedUtilizationMetrics[k].name"];
statistic = [jResp StringOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].projectedUtilizationMetrics[k].statistic"];
value = [[jResp IntOf: @"lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].projectedUtilizationMetrics[k].value"] intValue];
k = k + 1;
}
j = j + 1;
}
j = 0;
count_j = [[jResp SizeOfArray: @"lambdaFunctionRecommendations[i].utilizationMetrics"] intValue];
while (j < count_j) {
jResp.J = [NSNumber numberWithInt: j];
name = [jResp StringOf: @"lambdaFunctionRecommendations[i].utilizationMetrics[j].name"];
statistic = [jResp StringOf: @"lambdaFunctionRecommendations[i].utilizationMetrics[j].statistic"];
value = [[jResp IntOf: @"lambdaFunctionRecommendations[i].utilizationMetrics[j].value"] intValue];
j = j + 1;
}
i = i + 1;
}
// A sample JSON response body parsed by the above code:
// {
// "lambdaFunctionRecommendations": [
// {
// "accountId": "string",
// "currentMemorySize": number,
// "currentPerformanceRisk": "string",
// "finding": "string",
// "findingReasonCodes": [
// "string"
// ],
// "functionArn": "string",
// "functionVersion": "string",
// "lastRefreshTimestamp": number,
// "lookbackPeriodInDays": number,
// "memorySizeRecommendationOptions": [
// {
// "memorySize": number,
// "projectedUtilizationMetrics": [
// {
// "name": "string",
// "statistic": "string",
// "value": number
// }
// ],
// "rank": number,
// "savingsOpportunity": {
// "estimatedMonthlySavings": {
// "currency": "string",
// "value": number
// },
// "savingsOpportunityPercentage": number
// }
// }
// ],
// "numberOfInvocations": number,
// "utilizationMetrics": [
// {
// "name": "string",
// "statistic": "string",
// "value": number
// }
// ]
// }
// ],
// "nextToken": "string"
// }
