Chilkat Online Tools

GetEC2InstanceRecommendations unicodeCpp Example

AWS Compute Optimizer

#include <CkRestW.h>
#include <CkAuthAwsW.h>
#include <CkJsonObjectW.h>
#include <CkStringBuilderW.h>

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

    CkRestW rest;
    bool success;

    CkAuthAwsW authAws;
    authAws.put_AccessKey(L"AWS_ACCESS_KEY");
    authAws.put_SecretKey(L"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.put_Region(L"us-west-2");
    authAws.put_ServiceName(L"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(L"compute-optimizer.us-west-2.amazonaws.com",443,true,true);
    if (success != true) {
        wprintf(L"ConnectFailReason: %d\n",rest.get_ConnectFailReason());
        wprintf(L"%s\n",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

    CkJsonObjectW json;
    json.UpdateString(L"accountIds[0]",L"string");
    json.UpdateString(L"filters[0].name",L"string");
    json.UpdateString(L"filters[0].values[0]",L"string");
    json.UpdateString(L"instanceArns[0]",L"string");
    json.UpdateInt(L"maxResults",123);
    json.UpdateString(L"nextToken",L"string");
    json.UpdateString(L"recommendationPreferences.cpuVendorArchitectures[0]",L"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(L"Content-Type",L"application/x-amz-json-1.0");
    rest.AddHeader(L"X-Amz-Target",L"ComputeOptimizerService.GetEC2InstanceRecommendations");

    CkStringBuilderW sbRequestBody;
    json.EmitSb(sbRequestBody);
    CkStringBuilderW sbResponseBody;
    success = rest.FullRequestSb(L"POST",L"/",sbRequestBody,sbResponseBody);
    if (success != true) {
        wprintf(L"%s\n",rest.lastErrorText());
        return;
    }

    int respStatusCode = rest.get_ResponseStatusCode();
    wprintf(L"response status code = %d\n",respStatusCode);
    if (respStatusCode != 200) {
        wprintf(L"Response Header:\n");
        wprintf(L"%s\n",rest.responseHeader());
        wprintf(L"Response Body:\n");
        wprintf(L"%s\n",sbResponseBody.getAsString());
        return;
    }

    CkJsonObjectW jResp;
    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

    // Chilkat functions returning "const char *" return a pointer to temporary internal memory owned and managed by Chilkat.
    // See this example explaining how this memory should be used: const char * functions.

    const wchar_t *code = 0;
    const wchar_t *identifier = 0;
    const wchar_t *message = 0;
    const wchar_t *accountId = 0;
    const wchar_t *currentInstanceType = 0;
    const wchar_t *currentPerformanceRisk = 0;
    const wchar_t *EnhancedInfrastructureMetrics = 0;
    const wchar_t *InferredWorkloadTypes = 0;
    const wchar_t *finding = 0;
    const wchar_t *instanceArn = 0;
    const wchar_t *instanceName = 0;
    int lastRefreshTimestamp;
    int lookBackPeriodInDays;
    int j;
    int count_j;
    const wchar_t *strVal = 0;
    const wchar_t *instanceType = 0;
    const wchar_t *migrationEffort = 0;
    int performanceRisk;
    int rank;
    const wchar_t *v_Currency = 0;
    int Value;
    int SavingsOpportunityPercentage;
    int k;
    int count_k;
    const wchar_t *name = 0;
    const wchar_t *statistic = 0;
    int value;
    const wchar_t *recommendationSourceArn = 0;
    const wchar_t *recommendationSourceType = 0;

    const wchar_t *nextToken = jResp.stringOf(L"nextToken");
    int i = 0;
    int count_i = jResp.SizeOfArray(L"errors");
    while (i < count_i) {
        jResp.put_I(i);
        code = jResp.stringOf(L"errors[i].code");
        identifier = jResp.stringOf(L"errors[i].identifier");
        message = jResp.stringOf(L"errors[i].message");
        i = i + 1;
    }

    i = 0;
    count_i = jResp.SizeOfArray(L"instanceRecommendations");
    while (i < count_i) {
        jResp.put_I(i);
        accountId = jResp.stringOf(L"instanceRecommendations[i].accountId");
        currentInstanceType = jResp.stringOf(L"instanceRecommendations[i].currentInstanceType");
        currentPerformanceRisk = jResp.stringOf(L"instanceRecommendations[i].currentPerformanceRisk");
        EnhancedInfrastructureMetrics = jResp.stringOf(L"instanceRecommendations[i].effectiveRecommendationPreferences.enhancedInfrastructureMetrics");
        InferredWorkloadTypes = jResp.stringOf(L"instanceRecommendations[i].effectiveRecommendationPreferences.inferredWorkloadTypes");
        finding = jResp.stringOf(L"instanceRecommendations[i].finding");
        instanceArn = jResp.stringOf(L"instanceRecommendations[i].instanceArn");
        instanceName = jResp.stringOf(L"instanceRecommendations[i].instanceName");
        lastRefreshTimestamp = jResp.IntOf(L"instanceRecommendations[i].lastRefreshTimestamp");
        lookBackPeriodInDays = jResp.IntOf(L"instanceRecommendations[i].lookBackPeriodInDays");
        j = 0;
        count_j = jResp.SizeOfArray(L"instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures");
        while (j < count_j) {
            jResp.put_J(j);
            strVal = jResp.stringOf(L"instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]");
            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray(L"instanceRecommendations[i].findingReasonCodes");
        while (j < count_j) {
            jResp.put_J(j);
            strVal = jResp.stringOf(L"instanceRecommendations[i].findingReasonCodes[j]");
            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray(L"instanceRecommendations[i].inferredWorkloadTypes");
        while (j < count_j) {
            jResp.put_J(j);
            strVal = jResp.stringOf(L"instanceRecommendations[i].inferredWorkloadTypes[j]");
            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray(L"instanceRecommendations[i].recommendationOptions");
        while (j < count_j) {
            jResp.put_J(j);
            instanceType = jResp.stringOf(L"instanceRecommendations[i].recommendationOptions[j].instanceType");
            migrationEffort = jResp.stringOf(L"instanceRecommendations[i].recommendationOptions[j].migrationEffort");
            performanceRisk = jResp.IntOf(L"instanceRecommendations[i].recommendationOptions[j].performanceRisk");
            rank = jResp.IntOf(L"instanceRecommendations[i].recommendationOptions[j].rank");
            v_Currency = jResp.stringOf(L"instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.currency");
            Value = jResp.IntOf(L"instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.value");
            SavingsOpportunityPercentage = jResp.IntOf(L"instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.savingsOpportunityPercentage");
            k = 0;
            count_k = jResp.SizeOfArray(L"instanceRecommendations[i].recommendationOptions[j].platformDifferences");
            while (k < count_k) {
                jResp.put_K(k);
                strVal = jResp.stringOf(L"instanceRecommendations[i].recommendationOptions[j].platformDifferences[k]");
                k = k + 1;
            }

            k = 0;
            count_k = jResp.SizeOfArray(L"instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics");
            while (k < count_k) {
                jResp.put_K(k);
                name = jResp.stringOf(L"instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].name");
                statistic = jResp.stringOf(L"instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].statistic");
                value = jResp.IntOf(L"instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].value");
                k = k + 1;
            }

            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray(L"instanceRecommendations[i].recommendationSources");
        while (j < count_j) {
            jResp.put_J(j);
            recommendationSourceArn = jResp.stringOf(L"instanceRecommendations[i].recommendationSources[j].recommendationSourceArn");
            recommendationSourceType = jResp.stringOf(L"instanceRecommendations[i].recommendationSources[j].recommendationSourceType");
            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray(L"instanceRecommendations[i].utilizationMetrics");
        while (j < count_j) {
            jResp.put_J(j);
            name = jResp.stringOf(L"instanceRecommendations[i].utilizationMetrics[j].name");
            statistic = jResp.stringOf(L"instanceRecommendations[i].utilizationMetrics[j].statistic");
            value = jResp.IntOf(L"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"
    // }
    }