sls-py
plugins:
- sls-py
provider:
name: aws
runtime: python3.9
region: eu-west-1
vpc:
subnetIds: !Split [",", "subnet-id1,subnet-id2"]
securityGroupIds: !Split [",", "sg-id1,sg-id2"]
custom:
pythonRequirements:
# shared properties across all lambda functions
enableLambdaInsights: true
vpc: ${self:provider.vpc}
timeout: 900
# pip arguments for dependency installation
indexUrl: https://pypi.org/simple
extraIndexUrl: https://pypi.org/simple
trustedHost: pypi.org
# common modules between all lambda functions
shared:
common_utils: ../shared
common_data: ../data
# files and directories to exclude
exclude:
- somefile.txt
- data.tmp
functions:
hello:
handler: handler.helloNote
filter using the
excludeoption.
In handler.py, shared code can be imported like this:
from common_utils import shared_resourceRequirements
- [x] python & pip installed
- [x] minimum required node version >= 16
Features
-
sharedis attached to all the lambdas.- you can place repeated dependencies inside your shared layer to:
- save space.
- reduce cold startup time.
- much faster deployments.
- you can place repeated dependencies inside your shared layer to:
-
excludeworks for excluding code and dependencies alike.
License: lgpl-3.0 or later