Chilkat Online Tools

GetEC2RecommendationProjectedMetrics Python Example

AWS Compute Optimizer

import sys
import chilkat

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

rest = chilkat.CkRest()

authAws = chilkat.CkAuthAws()
authAws.put_AccessKey("AWS_ACCESS_KEY")
authAws.put_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.put_Region("us-west-2")
authAws.put_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):
    print("ConnectFailReason: " + str(rest.get_ConnectFailReason()))
    print(rest.lastErrorText())
    sys.exit()

# 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

json = chilkat.CkJsonObject()
json.UpdateInt("endTime",123)
json.UpdateString("instanceArn","string")
json.UpdateInt("period",123)
json.UpdateString("recommendationPreferences.cpuVendorArchitectures[0]","string")
json.UpdateInt("startTime",123)
json.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"
# }

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

sbRequestBody = chilkat.CkStringBuilder()
json.EmitSb(sbRequestBody)
sbResponseBody = chilkat.CkStringBuilder()
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
if (success != True):
    print(rest.lastErrorText())
    sys.exit()

respStatusCode = rest.get_ResponseStatusCode()
print("response status code = " + str(respStatusCode))
if (respStatusCode != 200):
    print("Response Header:")
    print(rest.responseHeader())
    print("Response Body:")
    print(sbResponseBody.getAsString())
    sys.exit()

jResp = chilkat.CkJsonObject()
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

i = 0
count_i = jResp.SizeOfArray("recommendedOptionProjectedMetrics")
while i < count_i :
    jResp.put_I(i)
    rank = jResp.IntOf("recommendedOptionProjectedMetrics[i].rank")
    recommendedInstanceType = jResp.stringOf("recommendedOptionProjectedMetrics[i].recommendedInstanceType")
    j = 0
    count_j = jResp.SizeOfArray("recommendedOptionProjectedMetrics[i].projectedMetrics")
    while j < count_j :
        jResp.put_J(j)
        name = jResp.stringOf("recommendedOptionProjectedMetrics[i].projectedMetrics[j].name")
        k = 0
        count_k = jResp.SizeOfArray("recommendedOptionProjectedMetrics[i].projectedMetrics[j].timestamps")
        while k < count_k :
            jResp.put_K(k)
            intVal = jResp.IntOf("recommendedOptionProjectedMetrics[i].projectedMetrics[j].timestamps[k]")
            k = k + 1

        k = 0
        count_k = jResp.SizeOfArray("recommendedOptionProjectedMetrics[i].projectedMetrics[j].values")
        while k < count_k :
            jResp.put_K(k)
            intVal = jResp.IntOf("recommendedOptionProjectedMetrics[i].projectedMetrics[j].values[k]")
            k = k + 1

        j = j + 1

    i = i + 1

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

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