Chilkat Online Tools

GetLambdaFunctionRecommendations C# Example

AWS Compute Optimizer

// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.

Chilkat.Rest rest = new Chilkat.Rest();
bool success;

Chilkat.AuthAws authAws = 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
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) {
    Debug.WriteLine("ConnectFailReason: " + Convert.ToString(rest.ConnectFailReason));
    Debug.WriteLine(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

Chilkat.JsonObject json = new Chilkat.JsonObject();
json.UpdateString("accountIds[0]","string");
json.UpdateString("filters[0].name","string");
json.UpdateString("filters[0].values[0]","string");
json.UpdateString("functionArns[0]","string");
json.UpdateInt("maxResults",123);
json.UpdateString("nextToken","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","application/x-amz-json-1.0");
rest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetLambdaFunctionRecommendations");

Chilkat.StringBuilder sbRequestBody = new Chilkat.StringBuilder();
json.EmitSb(sbRequestBody);
Chilkat.StringBuilder sbResponseBody = new Chilkat.StringBuilder();
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
if (success != true) {
    Debug.WriteLine(rest.LastErrorText);
    return;
}

int respStatusCode = rest.ResponseStatusCode;
Debug.WriteLine("response status code = " + Convert.ToString(respStatusCode));
if (respStatusCode != 200) {
    Debug.WriteLine("Response Header:");
    Debug.WriteLine(rest.ResponseHeader);
    Debug.WriteLine("Response Body:");
    Debug.WriteLine(sbResponseBody.GetAsString());
    return;
}

Chilkat.JsonObject jResp = new Chilkat.JsonObject();
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

string accountId;
int currentMemorySize;
string currentPerformanceRisk;
string finding;
string functionArn;
string functionVersion;
int lastRefreshTimestamp;
int lookbackPeriodInDays;
int numberOfInvocations;
int j;
int count_j;
string strVal;
int memorySize;
int rank;
string v_Currency;
int Value;
int SavingsOpportunityPercentage;
int k;
int count_k;
string name;
string statistic;
int value;

string nextToken = jResp.StringOf("nextToken");
int i = 0;
int count_i = jResp.SizeOfArray("lambdaFunctionRecommendations");
while (i < count_i) {
    jResp.I = i;
    accountId = jResp.StringOf("lambdaFunctionRecommendations[i].accountId");
    currentMemorySize = jResp.IntOf("lambdaFunctionRecommendations[i].currentMemorySize");
    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");
    lookbackPeriodInDays = jResp.IntOf("lambdaFunctionRecommendations[i].lookbackPeriodInDays");
    numberOfInvocations = jResp.IntOf("lambdaFunctionRecommendations[i].numberOfInvocations");
    j = 0;
    count_j = jResp.SizeOfArray("lambdaFunctionRecommendations[i].findingReasonCodes");
    while (j < count_j) {
        jResp.J = j;
        strVal = jResp.StringOf("lambdaFunctionRecommendations[i].findingReasonCodes[j]");
        j = j + 1;
    }

    j = 0;
    count_j = jResp.SizeOfArray("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions");
    while (j < count_j) {
        jResp.J = j;
        memorySize = jResp.IntOf("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].memorySize");
        rank = jResp.IntOf("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].rank");
        v_Currency = jResp.StringOf("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.currency");
        Value = jResp.IntOf("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.value");
        SavingsOpportunityPercentage = jResp.IntOf("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].savingsOpportunity.savingsOpportunityPercentage");
        k = 0;
        count_k = jResp.SizeOfArray("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions[j].projectedUtilizationMetrics");
        while (k < count_k) {
            jResp.K = 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");
            k = k + 1;
        }

        j = j + 1;
    }

    j = 0;
    count_j = jResp.SizeOfArray("lambdaFunctionRecommendations[i].utilizationMetrics");
    while (j < count_j) {
        jResp.J = 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");
        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"
// }