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Python SAM Lambda module for generating an Excel cost report with graphs, including month on month cost changes. Uses the AWS Cost Explorer API for data.

This sample code is made available under a modified MIT license. See the LICENSE file.

AWS Lambda Invocation (Usually Free https://aws.amazon.com/free/)
Amazon SES (Usually Free https://aws.amazon.com/free/)
Minimal Amazon S3 Usage
AWS Cost Explorer API at 0.01c per API call (about 24c per run)
https://aws.amazon.com/aws-cost-management/pricing/

awscli - https://aws.amazon.com/cli/

configure AWS credentials for target account
aws configure

Verfied Amazon SES Sender email
https://docs.aws.amazon.com/ses/latest/DeveloperGuide/verify-email-addresses.html
If you verify an email, you can send from/to that address. To send to other addresses, you need to move SES out of sandbox mode:
https://docs.aws.amazon.com/ses/latest/DeveloperGuide/request-production-access.html

Docker (optional for building the lambda python package with updated https://pypi.python.org/ third-party libraries)

Run build.sh to build a new lambda deployment package. This requires Docker, as it builds the package in an Amazon Linux container.

sh build.sh

coming soon...

Update the values in deploy.sh for your AWS account details.
S3_BUCKET: S3 Bucket to use
SES_SEND: Email list to send to (comma separated)
SES_FROM: SES Verified Sender Email
SES_REGION: SES Region
COST_TAGS: List Of Cost Tag Keys (comma separated)
CURRENT_MONTH: true | false for if report does current partial month

And then run deploy.sh

sh deploy.sh

1. Create a lambda function (python 3.6 runtime)
2. Create a lambda IAM execution role with ce:, ses:, s3:, organizations:ListAccounts
3. Upload zip to console from https://s3.amazonaws.com/aws-cost-explorer-report-bin/lambda.zip
4. Update ENV Variables in Lambda console
   S3_BUCKET: S3 Bucket to use
   SES_SEND: Email list to send to (comma separated)
   SES_FROM: SES Verified Sender Email
   SES_REGION: SES Region
   COST_TAGS: List Of Cost Tag Keys (comma separated)
   CURRENT_MONTH: true | false for if report does current partial month
5. Create a trigger (CloudWatch Event)

Once the lambda is created, find it in the AWS Lambda console. You can create ANY test event (as the event content is ignored), and hit the test button for a manual run.

https://docs.aws.amazon.com/lambda/latest/dg/tutorial-scheduled-events-test-function.html

Edit the last segment of src/lambda.py

def main_handler(event=None, context=None): 
  costexplorer = CostExplorer(CurrentMonth=False)
  #Default addReport has filter to remove Credits / Refunds / UpfrontRI
  costexplorer.addReport(Name="Total", GroupBy=[],Style='Total')
  costexplorer.addReport(Name="TotalChange", GroupBy=[],Style='Change')
  costexplorer.addReport(Name="TotalInclCredits", GroupBy=[],Style='Total',NoCredits=False)
  costexplorer.addReport(Name="TotalInclCreditsChange", GroupBy=[],Style='Change',NoCredits=False)
  costexplorer.addReport(Name="Credits", GroupBy=[],Style='Total',CreditsOnly=True)
  costexplorer.addReport(Name="RIUpfront", GroupBy=[],Style='Total',UpfrontOnly=True)

  costexplorer.addRiReport(Name="RICoverage")
  costexplorer.addReport(Name="Services", GroupBy=[{"Type": "DIMENSION","Key": "SERVICE"}],Style='Total')
  costexplorer.addReport(Name="ServicesChange", GroupBy=[{"Type": "DIMENSION","Key": "SERVICE"}],Style='Change')
  costexplorer.addReport(Name="Accounts", GroupBy=[{"Type": "DIMENSION","Key": "LINKED_ACCOUNT"}],Style='Total')
  costexplorer.addReport(Name="AccountsChange", GroupBy=[{"Type": "DIMENSION","Key": "LINKED_ACCOUNT"}],Style='Change')
  costexplorer.addReport(Name="Regions", GroupBy=[{"Type": "DIMENSION","Key": "REGION"}],Style='Total')
  costexplorer.addReport(Name="RegionsChange", GroupBy=[{"Type": "DIMENSION","Key": "REGION"}],Style='Change')
  if os.environ.get('COST_TAGS'): #Support for multiple/different Cost Allocation tags
      for tagkey in os.environ.get('COST_TAGS').split(','):
          tabname = tagkey.replace(":",".") #Remove special chars from Excel tabname
          costexplorer.addReport(Name="{}".format(tabname)[:31], GroupBy=[{"Type": "TAG","Key": tagkey}],Style='Total')
          costexplorer.addReport(Name="Change-{}".format(tabname)[:31], GroupBy=[{"Type": "TAG","Key": tagkey}],Style='Change')
  costexplorer.generateExcel()
  return "Report Generated"