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GetEC2RecommendationProjectedMetrics Foxpro Example

AWS Compute Optimizer

ฒP੕n style="color: rgb(0,123,181)">LOCAL loRest
LOCAL lnSuccess
LOCAL loAuthAws
LOCAL loJson
LOCAL loSbRequestBody
LOCAL loSbResponseBody
LOCAL lnRespStatusCode
LOCAL loJResp
LOCAL lnRank
LOCAL lcRecommendedInstanceType
LOCAL j
LOCAL lnCount_j
LOCAL lcName
LOCAL k
LOCAL lnCount_k
LOCAL lnIntVal
LOCAL i
LOCAL lnCount_i

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

loRest = CreateObject('Chilkat_9_5_0.Rest')

loAuthAws = CreateObject('Chilkat_9_5_0.AuthAws')
loAuthAws.AccessKey = "AWS_ACCESS_KEY"
loAuthAws.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.)
loAuthAws.Region = "us-west-2"
loAuthAws.ServiceName = "compute-optimizer"
* SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
loRest.SetAuthAws(loAuthAws)

* URL: https://compute-optimizer.us-west-2.amazonaws.com/
* Use the same region as specified above.
lnSuccess = loRest.Connect("compute-optimizer.us-west-2.amazonaws.com",443,1,1)
IF (lnSuccess <> 1) THEN
    ? "ConnectFailReason: " + STR(loRest.ConnectFailReason)
    ? loRest.LastErrorText
    RELEASE loRest
    RELEASE loAuthAws
    CANCEL
ENDIF

* 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

loJson = CreateObject('Chilkat_9_5_0.JsonObject')
loJson.UpdateInt("endTime",123)
loJson.UpdateString("instanceArn","string")
loJson.UpdateInt("period",123)
loJson.UpdateString("recommendationPreferences.cpuVendorArchitectures[0]","string")
loJson.UpdateInt("startTime",123)
loJson.UpdateString("stat","string")

* The JSON request body created by the above code:

* {
*   "endTime": number,
*   "instanceArn": "string",
*   "period": number,
*   "recommendationPreferences": {
*     "cpuVendorArchitectures": [
*       "string"
*     ]
*   },
*   "startTime": number,
*   "stat": "string"
* }

loRest.AddHeader("Content-Type","application/x-amz-json-1.0")
loRest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetEC2RecommendationProjectedMetrics")

loSbRequestBody = CreateObject('Chilkat_9_5_0.StringBuilder')
loJson.EmitSb(loSbRequestBody)
loSbResponseBody = CreateObject('Chilkat_9_5_0.StringBuilder')
lnSuccess = loRest.FullRequestSb("POST","/",loSbRequestBody,loSbResponseBody)
IF (lnSuccess <> 1) THEN
    ? loRest.LastErrorText
    RELEASE loRest
    RELEASE loAuthAws
    RELEASE loJson
    RELEASE loSbRequestBody
    RELEASE loSbResponseBody
    CANCEL
ENDIF

lnRespStatusCode = loRest.ResponseStatusCode
? "response status code = " + STR(lnRespStatusCode)
IF (lnRespStatusCode <> 200) THEN
    ? "Response Header:"
    ? loRest.ResponseHeader
    ? "Response Body:"
    ? loSbResponseBody.GetAsString()
    RELEASE loRest
    RELEASE loAuthAws
    RELEASE loJson
    RELEASE loSbRequestBody
    RELEASE loSbResponseBody
    CANCEL
ENDIF

loJResp = CreateObject('Chilkat_9_5_0.JsonObject')
loJResp.LoadSb(loSbResponseBody)

* 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

i = 0
lnCount_i = loJResp.SizeOfArray("recommendedOptionProjectedMetrics")
DO WHILE i < lnCount_i
    loJResp.I = i
    lnRank = loJResp.IntOf("recommendedOptionProjectedMetrics[i].rank")
    lcRecommendedInstanceType = loJResp.StringOf("recommendedOptionProjectedMetrics[i].recommendedInstanceType")
    j = 0
    lnCount_j = loJResp.SizeOfArray("recommendedOptionProjectedMetrics[i].projectedMetrics")
    DO WHILE j < lnCount_j
        loJResp.J = j
        lcName = loJResp.StringOf("recommendedOptionProjectedMetrics[i].projectedMetrics[j].name")
        k = 0
        lnCount_k = loJResp.SizeOfArray("recommendedOptionProjectedMetrics[i].projectedMetrics[j].timestamps")
        DO WHILE k < lnCount_k
            loJResp.K = k
            lnIntVal = loJResp.IntOf("recommendedOptionProjectedMetrics[i].projectedMetrics[j].timestamps[k]")
            k = k + 1
        ENDDO
        k = 0
        lnCount_k = loJResp.SizeOfArray("recommendedOptionProjectedMetrics[i].projectedMetrics[j].values")
        DO WHILE k < lnCount_k
            loJResp.K = k
            lnIntVal = loJResp.IntOf("recommendedOptionProjectedMetrics[i].projectedMetrics[j].values[k]")
            k = k + 1
        ENDDO
        j = j + 1
    ENDDO
    i = i + 1
ENDDO

* A sample JSON response body parsed by the above code:

* {
*   "recommendedOptionProjectedMetrics": [
*     {
*       "projectedMetrics": [
*         {
*           "name": "string",
*           "timestamps": [
*             number
*           ],
*           "values": [
*             number
*           ]
*         }
*       ],
*       "rank": number,
*       "recommendedInstanceType": "string"
*     }
*   ]
* }

RELEASE loRest
RELEASE loAuthAws
RELEASE loJson
RELEASE loSbRequestBody
RELEASE loSbResponseBody
RELEASE loJResp