This pattern shows you how to create a pipeline that will automatically publish new Python package versions to private AWS CodeArtifact repository using AWS CodePipeline.
AWS CodeArtifact is a fully managed artifact repository service that makes it easy for organizations of any size to securely store, publish, and share software packages used in their software development process.
AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates.
All resources in this pattern are provisioned as IaC with AWS CDK in Python.
The cdk.json
file tells the CDK Toolkit how to execute your app.
This project is set up like a standard Python project. The initialization
process also creates a virtualenv within this project, stored under the .venv
directory. To create the virtualenv it assumes that there is a python3
(or python
for Windows) executable in your path with access to the venv
package. If for any reason the automatic creation of the virtualenv fails,
you can create the virtualenv manually.
To manually create a virtualenv on MacOS and Linux:
$ python3 -m venv .venv
After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.
$ source .venv/bin/activate
If you are a Windows platform, you would activate the virtualenv like this:
% .venv\Scripts\activate.bat
Once the virtualenv is activated, you can install the required dependencies.
$ pip install -r requirements.txt
At this point you can now synthesize the CloudFormation template for this code.
$ cdk synth
To add additional dependencies, for example other CDK libraries, just add
them to your setup.py
file and rerun the pip install -r requirements.txt
command.
cdk ls
list all stacks in the appcdk synth
emits the synthesized CloudFormation templatecdk deploy
deploy this stack to your default AWS account/regioncdk diff
compare deployed stack with current statecdk docs
open CDK documentation
First install test dependencies
$ pip install -r requirements-dev.txt
Then execute the tests
$ pytest
Enjoy!
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.