serverless.yml

service: beowulf-ebooks
provider:
  name: aws
  runtime: python3.6
#  stage: dev
  region: us-west-2

# you can add statements to the Lambda function's IAM Role here
  iamRoleStatements:
    - Effect: "Allow"
      Action:
        - "kms:Decrypt"
      Resource: arn:aws:kms:us-east-1:248284992944:key/c0f7cc29-2fd5-400e-9756-82770f333071
    - Effect: "Allow"
      Action:
        - "dynamodb:GetItem"
        - "dynamodb:Query"
        - "dynamodb:Scan"
      Resource: "arn:aws:dynamodb:us-west-2:248284992944:table/credential-store"

# you can define service wide environment variables here
  environment:
    TWITTER_CONSUMER_KEY: ${env:TWITTER_CONSUMER_KEY}
    TWITTER_CONSUMER_SECRET: ${env:TWITTER_CONSUMER_SECRET}
    TWITTER_ACCESS_KEY: ${env:TWITTER_ACCESS_KEY}
    TWITTER_ACCESS_SECRET: ${env:TWITTER_ACCESS_SECRET}

functions:
  sendTweet:
    handler: handler.make_tweet
    events:
      - schedule: rate(60 minutes)

#    The following are a few example events you can configure
#    NOTE: Please make sure to change your handler code to work with those events
#    Check the event documentation for details
#    events:
#      - http:
#          path: users/create
#          method: get
#      - s3: ${env:BUCKET}
#      - schedule: rate(10 minutes)
#      - sns: greeter-topic
#      - stream: arn:aws:dynamodb:region:XXXXXX:table/foo/stream/1970-01-01T00:00:00.000
#      - alexaSkill
#      - iot:
#          sql: "SELECT * FROM 'some_topic'"
#      - cloudwatchEvent:
#          event:
#            source:
#              - "aws.ec2"
#            detail-type:
#              - "EC2 Instance State-change Notification"
#            detail:
#              state:
#                - pending
#      - cloudwatchLog: '/aws/lambda/hello'
#      - cognitoUserPool:
#          pool: MyUserPool
#          trigger: PreSignUp

#    Define function environment variables here
#    environment:
#      variable2: value2

# you can add CloudFormation resource templates here
#resources:
#  Resources:
#    NewResource:
#      Type: AWS::S3::Bucket
#      Properties:
#        BucketName: my-new-bucket
#  Outputs:
#     NewOutput:
#       Description: "Description for the output"
#       Value: "Some output value"


plugins:
  - serverless-python-requirements

custom:
  pythonRequirements:
    dockerizePip: true