serverless.yml

service: tejas-service
org: tensorclan

frameworkVersion: '2'

provider:
  name: aws
  runtime: python3.8
  stage: dev
  region: ap-south-1
  timeout: 60
  environment:
    PRODUCTION: TRUE
  iamRoleStatements:
    - Effect: Allow
      Action:
        - dynamodb:Query
        - dynamodb:Scan
        - dynamodb:GetItem
        - dynamodb:PutItem
        - dynamodb:UpdateItem
        - dynamodb:DeleteItem
        - dynamodb:DescribeTable
      Resource: "*"
    - Effect: Allow
      Action:
        - s3:GetObject
        - s3:PutObject
        - s3:ListBucket
      Resource: "*"
    - Effect: Allow
      Action:
        - lambda:InvokeFunction
      Resource: "*"
  apiGateway:
    shouldStartNameWithService: true
    binaryMediaTypes:
      - "multipart/form-data"
      - "*/*"

functions:
  tejas:
    handler: tejas.handler
    memorySize: 704
    events:
      - http:
          method: ANY
          path: /
      - http:
          method: ANY
          path: /{proxy+}
      # websockets not supported by Mangum for now
      # - websocket:
      #     route: $connect
      # - websocket:
      #     route: $disconnect
      # - websocket:
      #     route: $default
    fileSystemConfig:
      localMountPath: /mnt/tejas-fs
      arn: arn:aws:elasticfilesystem:ap-south-1:668527606260:access-point/fsap-0ed6c22fc0aa6a295
    vpc:
      securityGroupIds:
        - sg-07c194e6b1aa88b25
      subnetIds:
        - subnet-64b8f40c
        - subnet-0db20f41
        - subnet-2a3fcf51
    environment:
      TASKS_TABLE: ${self:custom.tasksTableName}
      TEJAS_LAMBDA: true
      TEJAS_LIBS_PATH: /mnt/tejas-fs/tejas-libs
      TEJAS_MODELS_PATH: /mnt/tejas-fs/tejas-models
      TEJAS_MODELS_BUCKET: ${self:custom.tejasModelsBucket}
      TEJAS_DATASETS_BUCKET: ${self:custom.tejasDatasetsBucket}
      TEJAS_DATASETS_PATH: /mnt/tejas-fs/tejas-datasets
      TEJAS_MODEL_TRAIN_LAMBDA_ARN: arn:aws:lambda:ap-south-1:668527606260:function:tejas-ml-service-dev-train_model

custom:
  tasksTableName: tejastasks
  tejasModelsBucket: ${self:service}-${self:provider.stage}-models
  # the datasets buckets is tied with tejas-ml-service make sure to use the same name
  tejasDatasetsBucket: tejas-service-datasets

resources:
  Resources:
    tejasModelsS3:
      Type: AWS::S3::Bucket
      Properties:
        BucketName: ${self:custom.tejasModelsBucket}
        CorsConfiguration:
          CorsRules:
            - AllowedMethods:
                - GET
                - HEAD
              AllowedOrigins:
                - "*"

package:
  exclude:
    - requirements/
    - requirements/**