serverless.yml

service: ml-core
frameworkVersion: '3'

provider:
  name: aws
  runtime: python3.9
  architecture: x86_64
  stage: ${env:BUILD_STAGE, 'development'}
  region: ${env:AWS_REGION, 'eu-west-1'}
  timeout: 600
  role: ${ssm:/${self:custom.service}/${self:provider.stage}/lambda_iam_role}
  deploymentBucket:
    name: ${ssm:/${self:custom.service}/${self:provider.stage}/serverless_bucket}
    serverSideEncryption: aws:kms

custom:
  service: ${env:SERVICE, 'ml-core'}


functions:
  lambdaCreateSchema:
    module: code/lambda/create_schema
    handler: function.handler
    name: ${ssm:/${self:custom.service}/${self:provider.stage}/create_schema_lambda_name}
    memorySize: 1000
    environment:
      LOGGER_LEVEL: INFO
      KMS_KEY_ID: ${ssm:/${self:custom.service}/${self:provider.stage}/kms_key}
      MACHINE_LEARNING_BUCKET: ${ssm:/${self:custom.service}/${self:provider.stage}/ml_pipeline_bucket}
      SOURCE_BUCKET: ${ssm:/${self:custom.service}/${self:provider.stage}/source_bucket}

  lambdaUpdateSchema:
    module: code/lambda/update_schema
    handler: function.handler
    name: ${ssm:/${self:custom.service}/${self:provider.stage}/update_schema_lambda_name}
    memorySize: 1000
    environment:
      LOGGER_LEVEL: INFO
      KMS_KEY_ID: ${ssm:/${self:custom.service}/${self:provider.stage}/kms_key}


  lambdaUpdateEndpointStatus:
    name: ${ssm:/${self:service}/${self:provider.stage}/update_endpoint_status_lambda_name}
    module: code/lambda/update_endpoint_status
    handler: function.handler
    environment:
      LOGGER_LEVEL: INFO


package:
  individually: true
  patterns:
    - '!./src/**/**/poetry.lock'
    - '!./src/**/**/pyproject.toml'
    - './src/**/**'
  excludeDevDependencies: true

plugins:
  - serverless-better-credentials
  - serverless-python-requirements
  - serverless-deployment-bucket
  - serverless-offline