GetRecommendationSummaries Python Example
import sys
import chilkat2
# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
rest = chilkat2.Rest()
authAws = chilkat2.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):
print("ConnectFailReason: " + str(rest.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 = chilkat2.JsonObject()
json.UpdateString("accountIds[0]","string")
json.UpdateInt("maxResults",123)
json.UpdateString("nextToken","string")
# The JSON request body created by the above code:
# {
# "accountIds": [
# "string"
# ],
# "maxResults": number,
# "nextToken": "string"
# }
rest.AddHeader("Content-Type","application/x-amz-json-1.0")
rest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetRecommendationSummaries")
sbRequestBody = chilkat2.StringBuilder()
json.EmitSb(sbRequestBody)
sbResponseBody = chilkat2.StringBuilder()
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
if (success != True):
print(rest.LastErrorText)
sys.exit()
respStatusCode = rest.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 = chilkat2.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
nextToken = jResp.StringOf("nextToken")
i = 0
count_i = jResp.SizeOfArray("recommendationSummaries")
while i < count_i :
jResp.I = i
accountId = jResp.StringOf("recommendationSummaries[i].accountId")
High = jResp.IntOf("recommendationSummaries[i].currentPerformanceRiskRatings.high")
Low = jResp.IntOf("recommendationSummaries[i].currentPerformanceRiskRatings.low")
Medium = jResp.IntOf("recommendationSummaries[i].currentPerformanceRiskRatings.medium")
VeryLow = jResp.IntOf("recommendationSummaries[i].currentPerformanceRiskRatings.veryLow")
recommendationResourceType = jResp.StringOf("recommendationSummaries[i].recommendationResourceType")
v_Currency = jResp.StringOf("recommendationSummaries[i].savingsOpportunity.estimatedMonthlySavings.currency")
Value = jResp.IntOf("recommendationSummaries[i].savingsOpportunity.estimatedMonthlySavings.value")
SavingsOpportunityPercentage = jResp.IntOf("recommendationSummaries[i].savingsOpportunity.savingsOpportunityPercentage")
j = 0
count_j = jResp.SizeOfArray("recommendationSummaries[i].summaries")
while j < count_j :
jResp.J = j
name = jResp.StringOf("recommendationSummaries[i].summaries[j].name")
value = jResp.IntOf("recommendationSummaries[i].summaries[j].value")
k = 0
count_k = jResp.SizeOfArray("recommendationSummaries[i].summaries[j].reasonCodeSummaries")
while k < count_k :
jResp.K = k
name = jResp.StringOf("recommendationSummaries[i].summaries[j].reasonCodeSummaries[k].name")
value = jResp.IntOf("recommendationSummaries[i].summaries[j].reasonCodeSummaries[k].value")
k = k + 1
j = j + 1
i = i + 1
# A sample JSON response body parsed by the above code:
# {
# "nextToken": "string",
# "recommendationSummaries": [
# {
# "accountId": "string",
# "currentPerformanceRiskRatings": {
# "high": number,
# "low": number,
# "medium": number,
# "veryLow": number
# },
# "recommendationResourceType": "string",
# "savingsOpportunity": {
# "estimatedMonthlySavings": {
# "currency": "string",
# "value": number
# },
# "savingsOpportunityPercentage": number
# },
# "summaries": [
# {
# "name": "string",
# "reasonCodeSummaries": [
# {
# "name": "string",
# "value": number
# }
# ],
# "value": number
# }
# ]
# }
# ]
# }