Chilkat Online Tools

GetLambdaFunctionRecommendations Classic ASP Example

AWS Compute Optimizer

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

set rest = Server.CreateObject("Chilkat_9_5_0.Rest")

set authAws = Server.CreateObject("Chilkat_9_5_0.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
success = 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",443,1,1)
If (success <> 1) Then
    Response.Write "<pre>" & Server.HTMLEncode( "ConnectFailReason: " & rest.ConnectFailReason) & "</pre>"
    Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
    Response.End
End If

' 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

set json = Server.CreateObject("Chilkat_9_5_0.JsonObject")
success = json.UpdateString("accountIds[0]","string")
success = json.UpdateString("filters[0].name","string")
success = json.UpdateString("filters[0].values[0]","string")
success = json.UpdateString("functionArns[0]","string")
success = json.UpdateInt("maxResults",123)
success = 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"
' }

success = rest.AddHeader("Content-Type","application/x-amz-json-1.0")
success = rest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetLambdaFunctionRecommendations")

set sbRequestBody = Server.CreateObject("Chilkat_9_5_0.StringBuilder")
success = json.EmitSb(sbRequestBody)
set sbResponseBody = Server.CreateObject("Chilkat_9_5_0.StringBuilder")
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> 1) Then
    Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
    Response.End
End If

respStatusCode = rest.ResponseStatusCode
Response.Write "<pre>" & Server.HTMLEncode( "response status code = " & respStatusCode) & "</pre>"
If (respStatusCode <> 200) Then
    Response.Write "<pre>" & Server.HTMLEncode( "Response Header:") & "</pre>"
    Response.Write "<pre>" & Server.HTMLEncode( rest.ResponseHeader) & "</pre>"
    Response.Write "<pre>" & Server.HTMLEncode( "Response Body:") & "</pre>"
    Response.Write "<pre>" & Server.HTMLEncode( sbResponseBody.GetAsString()) & "</pre>"
    Response.End
End If

set jResp = Server.CreateObject("Chilkat_9_5_0.JsonObject")
success = 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

nextToken = jResp.StringOf("nextToken")
i = 0
count_i = jResp.SizeOfArray("lambdaFunctionRecommendations")
Do 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")
    Do While j < count_j
        jResp.J = j
        strVal = jResp.StringOf("lambdaFunctionRecommendations[i].findingReasonCodes[j]")
        j = j + 1
    Loop
    j = 0
    count_j = jResp.SizeOfArray("lambdaFunctionRecommendations[i].memorySizeRecommendationOptions")
    Do 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")
        Do 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
        Loop
        j = j + 1
    Loop
    j = 0
    count_j = jResp.SizeOfArray("lambdaFunctionRecommendations[i].utilizationMetrics")
    Do 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
    Loop
    i = i + 1
Loop

' 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"
' }

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