Serverless Python Project Skeleton

Package skeleton for a Python Serverless project on AWS Lambda.

Description

Bootstrap a new Python Serverless project in five minutes or less.

Features

Deploy to AWS Lambda under a custom domain with Serverless.
Publishing to PyPI.
Secure dependency management with Poetry.
Linting with Pylint.
Uncompromising code formatting with Black.
pytest helps you write better programs.
Code coverage reporting with Codecov.
CircleCI ready.
Keep a CHANGELOG.
Consistent coding with EditorConfig.
Badges from Shields.io.

Bootstrapping a New Project

Create an empty (non-initialized) repository on GitHub.

Clone the master branch of this repository with

$ git clone --single-branch https://github.com/makenew/serverless-python.git new-serverless-python
$ cd new-serverless-python

Optionally, reset to the latest release with

$ git reset --hard v1.2.0

Run
```
$ ./makenew.sh
```
This will replace the boilerplate, delete itself, remove the git remote, remove upstream tags, and stage changes for commit.
Create the required CircleCI environment variables with
```
$ .circleci/envvars.sh
```

Review, commit, and push the changes to GitHub with

$ git diff --cached
$ git commit -m "Replace makenew boilerplate"
$ git remote add origin git@github.com:<user>/<new-serverless-python>.git
$ git push -u origin master

Ensure the CircleCI build passes, then publish the initial version of the package with
```
$ poetry install
$ poetry run bump2version patch
$ git push
$ git push --tags
```
Ensure a valid certificate exists in AWS Certificate Manager that matches the custom deployment domains, e.g., this project uses a wildcard certificate for *.serverless-python.makenew.razorx.app. Then trigger a deploy to the test stage with
```
$ npm install
$ npm run release:test
```

Updating

If you want to pull in future updates from this skeleton, you can fetch and merge in changes from this repository.

Add this as a new remote with

$ git remote rename origin upstream

and then configure your origin branch as normal.

Otherwise, add this as a new remote with

$ git remote add upstream git@github.com:makenew/serverless-python.git

You can then fetch and merge changes with

$ git fetch --no-tags upstream
$ git merge upstream/master

Changelog

Note that CHANGELOG.md is just a template for this skeleton. The actual changes for this project are documented in the commit history and summarized under Releases.

Installation

This package is registered on the Python Package Index (PyPI) as makenew_serverless_python.

Install it with

$ poetry install makenew_serverless_python

Development and Testing

Quickstart

$ git clone https://github.com/makenew/serverless-python.git
$ cd serverless-python
$ poetry install

Run each command below in a separate terminal window:

$ make watch

Primary development tasks are defined in the Makefile.

Source Code

The source code is hosted on GitHub. Clone the project with

$ git clone https://github.com/makenew/serverless-python.git

Requirements

You will need Python 3 and Poetry and Node.js with npm. To run some Serverless commands you will need Docker.

Install the development dependencies with

$ poetry install
$ npm install

Tests

Lint code with

$ make lint

Run tests with

$ make test

Run tests on chages with

$ make watch

Publishing

Use the bump2version command to release a new version. Push the created git tag which will trigger a CircleCI publish job.

Deployment

Deployment is triggered on CircleCI when a git tag matching stage.<environment> is created or updated. Use npm run release:<environment> to do this automatically, e.g.,

$ npm run release:test

CircleCI Setup

CircleCI should already be configured: this section is for reference only.

The following environment variables must be set on CircleCI:

TWINE_USERNAME: Username for publishing on PyPI.
TWINE_PASSWORD: Password for publishing on PyPI.
CODECOV_TOKEN: Codecov token for uploading coverage reports (optional).
AWS_DEFAULT_REGION: The AWS region Serverless will deploy to.
AWS_ACCESS_KEY_ID: AWS access key ID.
AWS_SECRET_ACCESS_KEY: AWS secret access key.

These may be set manually or by running the script ./.circleci/envvars.sh.

Contributing

Please submit and comment on bug reports and feature requests.

To submit a patch:

Fork it (https://github.com/makenew/serverless-python/fork).
Create your feature branch (git checkout -b my-new-feature).
Make changes.
Commit your changes (git commit -am 'Add some feature').
Push to the branch (git push origin my-new-feature).
Create a new Pull Request.

License

This Serverless project is licensed under the MIT license.

Warranty

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright holder or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

billfreeman44/serverless-python