Poetry plugin to work with AWS's SAM serverless tool
Project description
Description
CLI tool to run the sam build
on a poetry-based project.
AWS's SAM made use of a requirements.txt
file for third party
dependency management. This method is limiting in comparison
to other tools such as Poetry that manage sub-dependencies'
versions through a lock file. This poetry plugin deploys
a serverless app through SAM with dependencies being managed
through Poetry.
Created by Pinnacle Solutions Group, www.pinnsg.com
.
Set up
This plugin is dependent on having aws-sam-cli
locally.
AWS has a doc page an aws-sam-cli
with the installation
instructions at this url:
aws-sam-cli installation
To install in the same environment as the poetry on your system:
pip install poetry
poetry self add poetry-aws-sam
This will add sam as a command in poetry. If you run poetry list
, you will
see sam
as an option amongst the commands. You can then call
poetry sam --help
for options in running sam
in your poetry project.
The plugin replaces the sam build
command.
Sam deployment steps
sam build
sam package
sam deploy
Deployment steps using poetry-aws-sam:
poetry sam --without-hashes
sam package
sam deploy
History
The plugin was created while Pinnacle Solutions Group was working with one of its clients on a projects built on aws serverless resources. The client used SAM for its serverless management. The company ended a vendor's contract, which led to the team not having a repository for its package whl's. The team shifted to using poetry and installing its packages from a github url. With the change to poetry, the team needed to update how it interacted with SAM. This plugin was created by Pinnacle Solutions Group to meet that need.
Working on poetry-aws-sam
Common Actions - justfile
There is a justfile for just
commands. It is like make
with improvements.
You can read about installation and usage here: just - github
- show all the commands by running only just:
just
- set up git hooks through the pre-commit project:
just pre-commit-setup
- run the unit tests:
just tests
Install locally to test iteratively
python -m venv .venv
source .venv/bin/activate
pip install -e .
just sam # same as: .venv/bin/poetry sam
This will set up a virtual env and have the sam ready as a plugin
pypi deployment
The master.yml
workflow will deploy to pypi. This means that
the project version in pyproject.toml
will need to be increased
when merging into the master
branch.
A good dev flow:
- create new branch
- update version number of project
- can use
poetry version minor
to increase the minor version
- can use
- with code update, create pull request to merge into
master
- approve pull request and then merge into
master
- the workflow will then deploy to pypi
Project details
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