lampip 0.2.0

Simple CLI tool for creating custom python lambda layers

lampip: Simple CLI tool for creating python custom lambda layers

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Features

• Build Python(3.6, 3.7, 3.8)-compatible custom lambda layers using Docker and pip, and push it to AWS.

• Reduce the package size using some approachs.

  • Byte-Compile (that remove source comments and docstrings).
  • Remove *.dist-info.

Requirements

• Python3
• Docker
• AWS Account

Installation

You can obtain this packages using pip.

$ pip3 install lampip

Then you can use lampip command.

$ lampip --help
Usage: lampip [OPTIONS] COMMAND [ARGS]...

  Simple CLI tool for creating python custom lambda layers

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  deploy  Build and push lambda layer
  new     Create the scaffold

Usage

At the first create the scaffold

$ lampip new science

Go to the generated directory

$ cd science
$ ls
lampip-config.toml  other_resources  requirements.txt

Edit requirements.txt

numpy
scipy
pandas

Edit lampip-config.toml

[lampip]
layername = "science"
description = "numpy, scipy, and pandas"
pyversions = ["3.6", "3.7", "3.8"]

[lampip.shrink]
compile = true
compile_optimize_level = 2
remove_dist_info = true

# [lampip.shrink.plotly]
# remove_jupyterlab_plotly = true
# remove_data_docs = true

Before you deploy the lambda layer, be sure you have AWS credentials configured.

(If you do not configure AWS credentials yet, ...)
$ aws configure
AWS Access Key ID: ?????
AWS Secret Acess Key: ?????
Default region name: ?????

(Option) You can switch the aws credentials using environments variables.

(Case1: Using AWS CLI profile)
$ export AWS_PROFILE="subaccount"

(Case2: Using AWS access key directly)
$ export AWS_ACCESS_KEY_ID=????
$ export AWS_SECRET_ACCESS_KEY=?????
$ export AWS_DEFAULT_REGION=?????

Deploy

$ lampip deploy
Start to make dist/science_1631253196_3.6.zip
...
Publish the custom layer: arn:aws:lambda:ap-northeast-1:XXXXXXXXXXXX:layer:science-py38:1
DONE: dist/science_1631253312_3.8.zip created

$ ls -lh dist
-rw-r--r-- 1 root root 68M  9月 10 23:53 science_1631253196_3.6.zip
-rw-r--r-- 1 root root 73M  9月 10 23:54 science_1631253254_3.7.zip
-rw-r--r-- 1 root root 73M  9月 10 23:55 science_1631253312_3.8.zip


(The --no-upload option suppress uploading zip files)
$ lampip deploy --no-upload

Then you can check deployed layers on AWS Console.